patents.google.com

CN115002870B - Processing method, communication device, and storage medium - Google Patents

  • ️Tue Dec 06 2022

Disclosure of Invention

In view of the above technical problems, the present application provides a processing method, a communication device, and a storage medium, and one of the purposes is to solve the problems of invalid network search and power consumption increase caused by the fact that a current network 5G SA network deployment is low in occupation ratio and a terminal supporting 5G needs to satisfy a high-priority access technology resident policy, avoid an unnecessary optimal network detection process, reduce power consumption, and improve the standby time of the whole device.

The application provides a processing method, which can be applied to communication equipment (such as a mobile phone), and comprises the following steps:

s20: whether to close the SA path is determined based on network environment information or a network map.

Optionally, the S20 step includes at least one of:

if the network environment has SA network deployment in a first preset network mode, not closing an SA path so as to enable the terminal to execute a network search resident strategy of high-priority access;

if the network environment does not have SA network deployment in a first preset network mode, closing an SA path to enable the terminal not to execute a network search resident strategy in the first preset network mode;

if the network map has SA network deployment in a first preset network mode, not closing an SA passage so as to enable the terminal to execute a network search resident strategy of high-priority access;

if the network map does not have SA network deployment in the first preset network mode, closing an SA passage to enable the terminal not to execute the network search resident strategy in the first preset network mode.

Optionally, the network environment information includes at least one of:

the first preset network mode exists in the area where the terminal is located;

the first preset network mode does not exist in the area where the terminal is located;

the first preset network mode exists in a conventional area where the terminal is located;

the first preset network mode does not exist in the conventional area where the terminal is located;

a local network deployment map corresponding to the area where the terminal is located;

a local network deployment map corresponding to a conventional area where the terminal is located;

deploying a hot spot map in a conventional network corresponding to a conventional area where the terminal is located;

and the local network deployment map corresponding to the unconventional area where the terminal is located.

Optionally, before the step S20, the method further includes the steps of: s10: and acquiring network environment information or a network map.

Optionally, the step S10 includes at least one of:

responding to the fact that the area where the terminal is located is a conventional area, acquiring a conventional network deployment hot spot map corresponding to the conventional area, and determining network environment information of the conventional area where the terminal is located based on the conventional network deployment hot spot map;

responding to that the area where the terminal is located is an unconventional area, acquiring a local network deployment map corresponding to the unconventional area, and determining network environment information of the unconventional area where the terminal is located based on the local network deployment map corresponding to the unconventional area;

in response to the fact that the area where the terminal is located is a conventional area, acquiring a conventional network deployment hotspot map corresponding to the conventional area;

and acquiring a local network deployment map corresponding to the unconventional area in response to the fact that the area where the terminal is located is the unconventional area.

Optionally, the method further comprises at least one of:

after or at the same time, the step of acquiring the local network deployment map corresponding to the unconventional area in response to the fact that the area where the terminal is located is the unconventional area further includes: in response to the fact that the cell or neighbor cell communication data are not consistent with the local network deployment map, determining network environment information of an unconventional area where the terminal is located based on the cell or neighbor cell communication data, and/or updating the local network deployment map corresponding to the unconventional area according to the cell or neighbor cell communication data;

the step of obtaining the conventional network deployment hotspot map corresponding to the conventional area further comprises the following steps: and determining a conventional network deployment hotspot map of a conventional area where the terminal is located.

Optionally, the determining of the conventional network deployment hotspot map of the conventional area where the terminal is located includes at least one of:

determining based on a local network deployment map corresponding to the regular area;

the terminal communication method is determined based on historical communication information of the terminal in a conventional area and combined with AI machine learning training.

Optionally, the step of obtaining the conventional network deployment hotspot map corresponding to the conventional area includes:

and in response to that the conventional network deployment hotspot map corresponding to the conventional area is not acquired, determining the conventional network deployment hotspot map corresponding to the conventional area through AI machine learning training based on historical communication information of the terminal in the conventional area.

Optionally, the method further comprises:

and if the terminal is in the second network mode and the network configuration above the second network mode is lacked, controlling the terminal to execute a network search residing strategy of high-priority access according to the historical communication information of the terminal in the residing area.

Optionally, the step S20 includes:

whether to close the SA access is determined based on the network environment information or the network map and combined with the historical use condition and/or the terminal state of the user.

The application also provides a processing method, which can be applied to communication equipment (such as a mobile phone), and comprises the following steps:

s20: whether to close the SA path is determined based on the network environment information.

Optionally, the step S20 includes:

if the network environment has SA network deployment in a first preset network mode, not closing an SA path so as to enable the terminal to execute a network search resident strategy of high-priority access; and/or the presence of a gas in the gas,

if the network environment does not have SA network deployment in the first preset network mode, closing an SA path to enable the terminal not to execute the network search resident strategy in the first preset network mode.

Optionally, the network environment information includes at least one of:

the first preset network mode exists in the area where the terminal is located;

the first preset network mode does not exist in the area where the terminal is located;

the first preset network mode exists in a conventional area where the terminal is located;

and the first preset network mode does not exist in the normal area where the terminal is located.

Optionally, before the step S20, the method further includes the step of: s10: and acquiring the network environment information.

Optionally, the step S10 includes:

in response to the fact that the area where the terminal is located is a conventional area, acquiring a conventional network deployment hot spot map corresponding to the conventional area, and determining network environment information of the conventional area where the terminal is located on the basis of the conventional network deployment hot spot map; and/or the presence of a gas in the gas,

and in response to the fact that the area where the terminal is located is an unconventional area, acquiring a local network deployment map corresponding to the unconventional area, and determining network environment information of the unconventional area where the terminal is located based on the local network deployment map corresponding to the unconventional area.

Optionally, the method further comprises at least one of:

after or at the same time, the step of acquiring the local network deployment map corresponding to the unconventional area in response to the fact that the area where the terminal is located is the unconventional area further includes: in response to the fact that the cell or adjacent cell communication data are inconsistent with the local network deployment map, determining network environment information of an unconventional area where a terminal is located based on the cell or adjacent cell communication data, and/or updating the local network deployment map corresponding to the unconventional area according to the cell or adjacent cell communication data;

the step of obtaining the conventional network deployment hotspot map corresponding to the conventional area further comprises the following steps: and determining a conventional network deployment hotspot map of a conventional area where the terminal is located.

Optionally, the determining a conventional network deployment hotspot map of a conventional area where the terminal is located includes at least one of:

determining based on a local network deployment map corresponding to the regular area;

the method is determined based on historical communication information of the terminal in a conventional area and combined with AI machine learning training.

Optionally, the step of obtaining the conventional network deployment hotspot map corresponding to the conventional area includes:

and in response to that the conventional network deployment hotspot map corresponding to the conventional area is not acquired, determining the conventional network deployment hotspot map corresponding to the conventional area through AI machine learning training based on historical communication information of the terminal in the conventional area.

Optionally, the method further comprises:

and if the terminal is in the second network mode and the network configuration above the second network mode is lacked, controlling the terminal to execute a network search residing strategy of high-priority access according to the historical communication information of the terminal in the residing area.

Optionally, the step S20 includes:

and determining whether to close the SA access or not based on the network environment information and combined with the historical use condition and/or the terminal state of the user.

The embodiment of the present application further provides a processing method, which can be applied to a communication device (such as a mobile phone), and includes the following steps:

s200: whether to close the SA path is determined based on the network map.

Optionally, the step S200 includes:

if the network map has SA network deployment in a first preset network mode, not closing an SA passage so as to enable the terminal to execute a network search resident strategy of high-priority access; and/or the presence of a gas in the gas,

if the network map does not have SA network deployment in the first preset network mode, an SA passage is closed, so that the terminal does not execute a network search resident strategy in the first preset network mode.

Optionally, the network map comprises at least one of:

a local network deployment map corresponding to the area where the terminal is located;

a local network deployment map corresponding to a conventional area where the terminal is located;

deploying a hot spot map in a conventional network corresponding to a conventional area where the terminal is located;

and the local network deployment map corresponding to the unconventional area where the terminal is located.

Optionally, the step S200 includes:

determining network environment information based on the network map;

if the network environment has SA network deployment in a first preset network mode, not closing an SA path so as to enable the terminal to execute a network search resident strategy of high-priority access; and/or the presence of a gas in the gas,

if the network environment does not have SA network deployment in the first preset network mode, an SA passage is closed, so that the terminal does not execute a network search resident strategy in the first preset network mode.

Optionally, the network environment information includes at least one of:

the first preset network mode exists in the area where the terminal is located;

the first preset network mode does not exist in the area where the terminal is located;

the first preset network mode exists in a conventional area where the terminal is located;

and the first preset network mode does not exist in the normal area where the terminal is located.

Optionally, before the step S200, the method further includes the step of:

and S100, acquiring a network map.

Optionally, the step S100 includes:

responding to the situation that the area where the terminal is located is a conventional area, and acquiring a conventional network deployment hotspot map corresponding to the conventional area; and/or the presence of a gas in the atmosphere,

and in response to the fact that the area where the terminal is located is an unconventional area, acquiring a local network deployment map corresponding to the unconventional area.

Optionally, the method further comprises at least one of:

after or simultaneously with the step of acquiring the local network deployment map corresponding to the unconventional area in response to the fact that the area where the terminal is located is the unconventional area, the method further comprises:

and in response to the inconsistency between the cell or adjacent cell communication data and the local network deployment map, updating the local network deployment map corresponding to the unconventional area according to the cell or adjacent cell communication data.

Optionally, before the step S100, the method further includes the step of:

and S1000, determining a conventional network deployment hotspot map corresponding to the conventional area.

Optionally, the S1000 step includes at least one of:

determining based on a local network deployment map corresponding to the regular area;

the terminal communication method is determined based on historical communication information of the terminal in a conventional area and combined with AI machine learning training.

Optionally, the step of obtaining the conventional network deployment hotspot map corresponding to the conventional area includes:

and in response to that the conventional network deployment hotspot map corresponding to the conventional area is not acquired, determining the conventional network deployment hotspot map corresponding to the conventional area through AI machine learning training based on historical communication information of the terminal in the conventional area.

Optionally, the step of determining network environment information based on the network map comprises at least one of:

determining network environment information of a conventional area where the terminal is located based on the conventional network deployment hotspot map;

determining network environment information of an unconventional area where the terminal is located based on a local network deployment map corresponding to the unconventional area;

and in response to the fact that the cell or adjacent cell communication data are not consistent with the local network deployment map, determining network environment information of an unconventional area where the terminal is located based on the cell or adjacent cell communication data.

Optionally, the method further comprises:

and if the terminal is in the second network mode and the network configuration of the network above the second network mode is lacked, controlling the terminal to execute a network search residing strategy of high-priority access according to the historical communication information of the terminal in the residing area.

Optionally, the step S200 includes:

and determining whether to close the SA access or not based on the network map and combined with the historical use condition and/or the terminal state of the user.

The present application further provides a communication device, including:

and the processing module is used for determining whether to close the SA access or not based on the network environment information.

Optionally, the processing module further comprises:

and the acquisition module is used for acquiring the network environment information.

An embodiment of the present application further provides a communication device, where the communication device includes:

and the processing module is used for determining whether to close the SA access or not based on the network map.

Optionally, the processing module further comprises:

and the acquisition module is used for acquiring the network map.

The present application further provides a communication device, comprising: a memory, a processor, said memory having stored thereon a computer program which, when executed by said processor, carries out the steps of the method as set forth in any one of the above.

The present application also provides a computer-readable storage medium, which stores a computer program that, when executed by a processor, performs the steps of the method as set forth in any one of the above.

The processing method, the communication equipment and the storage medium provided by the application determine the network environment of the area where the terminal is located; whether to shut down the SA is determined based on the network environment information. The embodiment scheme of the invention determines whether to close the SA access or not according to the identified network environment information by forward judgment, namely intelligent identification distributed by a local area network where the terminal is located, solves the problems of invalid network search and power consumption increase caused by the fact that the existing network 5G SA network has low deployment proportion and the terminal supporting 5G needs to meet a high-priority access technology resident strategy, avoids unnecessary optimal network detection process, effectively reduces the power consumption of UE, improves the whole machine standby time of the UE and improves the experience of users.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. The following description refers to the accompanying drawings in which the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application, as detailed in the appended claims.

Alternatively, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the element defined by the phrases "comprising a component of 8230; \8230;" comprising a component of this specification does not exclude the presence of additional similar elements in processes, methods, articles, or apparatus that comprise the same component, features, or elements, which may have the same meaning in different embodiments of the application, and optionally may have different meanings that are determined by their interpretation in the specific embodiment or by their context in further combination with the specific embodiment.

It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope herein. The word "if" as used herein may be interpreted as "at" \8230; "or" when 8230; \8230; "or" in response to a determination ", depending on the context. Also, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used in this specification, specify the presence of stated features, steps, operations, elements, components, items, species, and/or groups, but do not preclude the presence, or addition of one or more other features, steps, operations, elements, components, items, species, and/or groups thereof. As used herein, the terms "or," "and/or," "including at least one of the following," and the like, are to be construed as inclusive or meaning any one or any combination. For example, "includes at least one of: A. b, C "means" any of the following: a; b; c; a and B; a and C; b and C; a and B and C ", again for example," a, B or C "or" a, B and/or C "means" any one of the following: a; b; c; a and B; a and C; b and C; a and B and C'. An exception to this definition will occur only when a combination of elements, functions, steps or operations are inherently mutually exclusive in some way.

It should be understood that, although the steps in the flowcharts in the embodiments of the present application are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least some of the steps in the figures may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, in different orders, and may be performed alternately or at least partially with respect to other steps or sub-steps of other steps.

The words "if", as used herein, may be interpreted as "at \8230; \8230when" or "when 8230; \823030, when" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.

Alternatively, step numbers such as S10, S100, etc. are used herein for the purpose of more clearly and briefly describing the corresponding content, and do not constitute a substantial limitation on the order.

It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for the convenience of description of the present application, and have no specific meaning in themselves. Thus, "module", "component" or "unit" may be used mixedly.

In the present application, the communication device may be a terminal device, a base station device, or the like, and needs to be determined according to a specific context, and in the case of the terminal device, the terminal device may be implemented in various forms. For example, the terminal devices described in the present application may include terminal devices such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and fixed terminals such as a base station, a Digital TV, a desktop computer, and the like.

In the following description, a terminal device will be exemplified, and those skilled in the art will understand that the configuration according to the embodiment of the present application can be applied to a fixed type terminal in addition to elements particularly used for moving purposes.

Referring to fig. 1, which is a schematic diagram of a hardware structure of a terminal device for implementing various embodiments of the present application, the

terminal device

100 may include: an RF (Radio Frequency)

unit

101, a

WiFi module

102, an

audio output unit

103, an a/V (audio/video)

input unit

104, a

sensor

105, a

display unit

106, a

user input unit

107, an

interface unit

108, a

memory

109, a

processor

110, and a

power supply

111. Those skilled in the art will appreciate that the terminal device architecture shown in fig. 1 is not intended to be limiting, and that the terminal device may include more or fewer components than shown, or some of the components may be combined, or a different arrangement of components.

The following specifically describes each component of the terminal device with reference to fig. 1:

the

radio frequency unit

101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the

processor

110; in addition, uplink data is transmitted to the base station. Typically,

radio frequency unit

101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. Alternatively, the

radio frequency unit

101 may also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000 (Code Division Multiple Access 2000 ), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex-Long Term Evolution), TDD-LTE (Time Division duplex-Long Term Evolution, time Division Long Term Evolution), 5G, and so on.

WiFi belongs to short-distance wireless transmission technology, and the

terminal device

100 can help the user send and receive e-mails, browse web pages, access streaming media and the like through the

WiFi module

102, and provides wireless broadband internet access for the user. Although fig. 1 shows the

WiFi module

102, it is understood that it does not belong to the essential constitution of the terminal device, and can be omitted entirely as needed within the scope not changing the essence of the invention.

The

audio output unit

103 may convert audio data received by the

radio frequency unit

101 or the

WiFi module

102 or stored in the

memory

109 into an audio signal and output as sound when the

terminal device

100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the

audio output unit

103 may also provide audio output related to a specific function performed by the terminal device 100 (e.g., a call signal reception sound, a message reception sound, etc.). The

audio output unit

103 may include a speaker, a buzzer, and the like.

The a/

V input unit

104 is for receiving an audio or video signal. The a/

V input Unit

104 may include a Graphics Processing Unit (GPU) 1041 and a

microphone

1042, the

Graphics processor

1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the

display unit

106. The image frames processed by the

graphic processor

1041 may be stored in the memory 109 (or other storage medium) or transmitted via the

radio frequency unit

101 or the

WiFi module

102. The

microphone

1042 may receive sounds (audio data) via the

microphone

1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the

radio frequency unit

101 in case of a phone call mode. The

microphone

1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.

The

terminal device

100 also includes at least one

sensor

105, such as a light sensor, a motion sensor, and other sensors. Optionally, the light sensor includes an ambient light sensor and a proximity sensor, the ambient light sensor may adjust the brightness of the

display panel

1061 according to the brightness of ambient light, and the proximity sensor may turn off the

display panel

1061 and/or the backlight when the

terminal device

100 moves to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing gestures of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometers and taps), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

The

display unit

106 is used to display information input by a user or information provided to the user. The

Display unit

106 may include a

Display panel

1061, and the

Display panel

1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The

user input unit

107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the terminal device. Alternatively, the

user input unit

107 may include a

touch panel

1071 and

other input devices

1072. The

touch panel

1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the

touch panel

1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The

touch panel

1071 may include two parts of a touch detection device and a touch controller. Optionally, the touch detection device detects a touch orientation of a user, detects a signal caused by a touch operation, and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the

processor

110, and can receive and execute commands sent by the

processor

110. Alternatively, the

touch panel

1071 may be implemented in various types, such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the

touch panel

1071, the

user input unit

107 may include

other input devices

1072. Optionally,

other input devices

1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited thereto.

Alternatively, the

touch panel

1071 may cover the

display panel

1061, and when the

touch panel

1071 detects a touch operation thereon or nearby, the

touch panel

1071 transmits the touch operation to the

processor

110 to determine the type of the touch event, and then the

processor

110 provides a corresponding visual output on the

display panel

1061 according to the type of the touch event. Although in fig. 1, the

touch panel

1071 and the

display panel

1061 are two independent components to implement the input and output functions of the terminal device, in some embodiments, the

touch panel

1071 and the

display panel

1061 may be integrated to implement the input and output functions of the terminal device, and is not limited herein.

The

interface unit

108 serves as an interface through which at least one external device is connected to the

terminal apparatus

100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The

interface unit

108 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the

terminal apparatus

100 or may be used to transmit data between the

terminal apparatus

100 and the external device.

The

memory

109 may be used to store software programs as well as various data. The

memory

109 may mainly include a program storage area and a data storage area, and optionally, the program storage area may store an operating system, an application program (such as a sound playing function, an image playing function, and the like) required by at least one function, and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, etc. Optionally, the

memory

109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The

processor

110 is a control center of the

terminal device

100, connects various parts of the entire

terminal device

100 by various interfaces and lines, and performs various functions of the

terminal device

100 and processes data by running or executing software programs and/or modules stored in the

memory

109 and calling data stored in the

memory

109, thereby performing overall monitoring of the

terminal device

100.

Processor

110 may include one or more processing units; preferably, the

processor

110 may integrate an application processor and a modem processor, optionally, the application processor mainly handles operating systems, user interfaces, application programs, etc., and the modem processor mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the

processor

110.

The

terminal device

100 may further include a power supply 111 (such as a battery) for supplying power to each component, and preferably, the

power supply

111 may be logically connected to the

processor

110 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system.

Although not shown in fig. 1, the

terminal device

100 may further include a bluetooth module or the like, which will not be described in detail herein.

In order to facilitate understanding of the embodiments of the present application, a communication network system on which the terminal device of the present application is based is described below.

Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present disclosure, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an epc (Evolved Packet Core) 203, and an

IP service

204 of an operator, which are in communication connection in sequence.

Optionally, the UE201 may be the

terminal device

100 described above, and is not described here again.

The E-UTRAN202 includes eNodeB2021 and

other eNodeBs

2022, among others. Optionally, the eNodeB2021 may connect with

other enodebs

2022 via backhaul (e.g., X2 interface), the eNodeB2021 connects to the EPC203, and the eNodeB2021 may provide the UE201 access to the

EPC

203.

The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032,

other MMEs

2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and Charging Rules Function) 2036, and the like. Optionally, the MME2031 is a control node that handles signaling between the UE201 and the EPC203, providing bearer and connection management. HSS2032 is used to provide some registers to manage functions such as home location register (not shown) and holds some user-specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).

The

IP services

204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.

Although the LTE system is described as an example, it should be understood by those skilled in the art that the present application is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems (e.g. 5G), and the like.

Based on the above hardware structure of the terminal device and the communication network system, various embodiments of the present application are provided.

The technical terms related to the embodiments of the present application are as follows:

5G networking mode:

5G is divided into two networking modes of NSA (Non-independent networking) and SA (independent networking)

The networking mode of the NSA, part of the services and functions of which need to be realized through the 4G network, is a 5G network realized after the 4G infrastructure is modified. From the view of network transmission speed alone, the network has the characteristic of high speed as the SA network, and the network speed is 10 times that of the 4G network.

The networking mode of the SA, all in the network is redesigned and constructed, and only serves the 5G network. Compared with the NSA network, the SA network not only has the advantage of high speed, but also has the characteristics of low time delay and wide connection, and is very important for the field of industrial Internet.

The 5G SA has three application scenes of eMB (enhanced mobile broadband), URLLC (high reliability and low time delay), mMTC (massive large connection) and 5G brand-new characteristics of network slicing, edge computing, cloud network fusion and the like, and can provide various 5G applications such as VR (virtual reality), AR (enhanced reality), ultra-high definition video, smart industry, smart medical treatment, smart education, smart business and the like for a great number of users.

According to the 3GPP protocol requirement specification and the implementation policy of the chip manufacturer, the communication protocol stacks are all access technologies that preferentially reside in the highest-level network, i.e., compared with 4G, a terminal with 5G capability preferentially or actively tries to search for and reside in 5G. This will cause the terminal to search/detect the 5G SA network with "invalidity" in the aforementioned area due to low 5G network distribution (only partial hot spot area deployment), which will cause the power consumption of the terminal to increase, and at the same time, since most of the dual-card terminals in the market are only one set of RF receiver, which will cause the situation that the service of another card is affected due to the RF resource occupation.

In the current scheme of accessing the terminal to the network, generally, after the terminal resides in the corresponding network, whether to close the 5G path is determined according to the content of the network air interface signaling transmission, and the scheme cannot solve the above pain point problem and cannot avoid the unnecessary optimal network detection process.

Therefore, the embodiment of the invention provides a solution, which can solve the problems of 'invalid' network search and power consumption increase caused by the fact that the existing network 5G SA network deployment ratio is low and the terminal supporting 5G needs to meet the high-priority access technology residence strategy.

The first embodiment:

referring to fig. 3, fig. 3 is a schematic flow chart of a first embodiment of the processing method of the present application.

In this embodiment, the processing method of the present application is applied to the terminal device (hereinafter referred to as a terminal), such as a UE, as described above, where the terminal establishes a communication connection with a network device in a network communication system where the terminal is located, and the network device may be a base station, and the like.

As shown in fig. 3, the processing method of the present application includes the following steps:

s20: whether to close the SA path is determined based on the network environment information.

The main execution body of the method of this embodiment may be a terminal, such as a UE, where the UE is an electronic device supporting a fifth generation mobile communication technology non-independent networking 5G NSA and/or a fifth generation mobile communication technology independent networking 5G SA networking mode and a networking mode of more than 5G.

Optionally, the communication protocol stacks are all access technologies that preferentially camp on the highest-level network, that is, compared to 4G, a terminal with 5G capability preferentially or actively attempts to search for and camp on 5G.

In the scheme of the embodiment, a 5G SA access start strategy is configured, and the 5G SA access start strategy is to close 5G or more network modes, so that an unnecessary optimal network detection process is avoided, power consumption is reduced, and the standby time of the whole device is prolonged.

Alternatively, whether to close the SA path may be determined based on network environment information of a network environment in which the terminal is located.

For example, if the network environment information of the network environment where the terminal is located includes SA network deployment in a 5G or above 5G network mode, the SA access is not closed, so that the terminal executes a network search residing policy of high-priority access; and/or if the network environment information of the network environment of the terminal does not comprise SA network deployment in a 5G or more than 5G network mode, closing an SA passage so that the terminal does not execute a network search resident strategy in the 5G or more than 5G network mode.

One embodiment is as follows:

if the 5G SA network deployment does not exist in the home or company of the user, the terminal supporting the 5G SA access technology does not try 5G network search (including foreground and background search), and therefore, unnecessary network search can be reduced and the power consumption of a terminal system can be reduced by intelligently identifying the network environment.

Optionally, if the network environment where the terminal last resided in the network includes an SA network deployment in a network mode of 5G or more than 5G, the SA access is not closed, so that the terminal executes a network search residence policy accessed to the network environment where the terminal last resided in the network; and/or if the network environment information of the terminal for the last network residence does not comprise SA network deployment in a 5G or more than 5G network mode, closing an SA passage so that the terminal does not execute a network search residence strategy in the 5G or more than 5G network mode.

One application scenario is as follows:

before the terminal is powered off or is in a stay-away network (DETACH), if the environment connected with the network is 5G, the terminal does not turn off 5G SA network search; if the terminal is connected in a dual link manner including LTE technology before being powered off or being detached from the internet (DETACH), for example: EN-DC (EUTRA-NR Dual Connectivity, LTE-NR Dual Connectivity), NGEN-DC (NG-RAN E-UTRA-NR Dual Connectivity, LTE-NR Dual Connectivity of NR core network), NE-DC (NR-E-UTRA Dual Connectivity, NR-LTE Dual Connectivity), or connected only in LTE, WCDMA, GSM, etc., the terminal closes the 5G SA network search.

Optionally, the terminal determines the network environment information according to the information stored in the SIM card. Optionally, the terminal reads the SIM card PLMN information and the corresponding access information to determine whether to close the SA access. Optionally, if the SIM card indicates that the access information of the corresponding PLMN contains 5G, the terminal does not close the SA access; and/or if the SIM card indicates that the access information of the corresponding PLMN does not contain 5G, the terminal closes the SA access.

Therefore, whether the SA access is closed or not is determined based on the network environment information, so that the problem that the power consumption of the terminal is increased due to 'invalid' 5G SA network search/detection when the terminal supporting the 5G and above network modes covers the area with low occupancy rate in the 5G network is solved, an unnecessary optimal network detection process is avoided, the power consumption is reduced, and the standby time of the whole machine is prolonged.

Compared with the related technology, the scheme of the embodiment of the invention determines whether to close the SA access or not according to the identified network environment information by forward judgment, namely intelligent identification of the regional network distribution of the terminal, solves the problems of invalid network search and power consumption increase caused by the fact that the existing network 5G SA network is low in deployment duty ratio and the terminal supporting 5G needs to meet the high-priority access technology resident strategy, avoids the unnecessary optimal network detection process, effectively reduces the power consumption of UE, improves the whole machine standby time of the UE and improves the user experience.

Optionally, the S20 step may include:

if the network environment has SA network deployment in a first preset network mode, not closing an SA passage so as to enable the terminal to execute a network search resident strategy of high-priority access; and/or the presence of a gas in the gas,

if the network environment does not have SA network deployment in the first preset network mode, an SA passage is closed, so that the terminal does not execute a network search resident strategy in the first preset network mode.

Optionally, the first preset network mode may be a 4G or 5G or greater network mode.

Optionally, the network environment information may include at least one of:

the first preset network mode exists in the area where the terminal is located;

the first preset network mode does not exist in the area where the terminal is located;

the first preset network mode exists in a conventional area where the terminal is located;

the first preset network mode does not exist in the conventional area where the terminal is located;

the information acquired by the terminal from the SIM card comprises the first preset network mode;

and the information acquired by the terminal from the SIM card does not contain the first preset network mode.

Optionally, the area where the terminal is located may be a regular area or an irregular area.

Optionally, the regular area in which the terminal is located may include at least one of: a user resident place, a two-point one-line commuting line/place which is daily established by the user.

The non-regular area where the terminal is located may be another temporary area to which the terminal leaves the regular area, such as other areas to which business trips, tourism, etc. go.

Compared with the related technology, the scheme of the embodiment of the invention determines whether to close the SA access or not according to the identified network environment information by advancing the judgment, namely, through intelligent identification of the regional network distribution of the terminal, solves the problems of invalid network search and power consumption increase caused by the fact that the existing network 5G SA network deployment ratio is low and the terminal supporting 5G needs to meet the high-priority access technology residence strategy, avoids the unnecessary optimal network detection process, effectively reduces the power consumption of UE, improves the whole machine standby time of the UE and improves the user experience.

Second embodiment

Referring to fig. 4, fig. 4 is a flowchart illustrating a processing method according to a second embodiment of the present application.

As shown in fig. 4, before the step S20, the present embodiment may further include the steps of:

s10: and acquiring the network environment information.

Optionally, the network environment information may include at least one of:

the first preset network mode exists in the area where the terminal is located;

the first preset network mode does not exist in the area where the terminal is located;

the first preset network mode exists in a conventional area where the terminal is located;

the first preset network mode does not exist in the conventional area where the terminal is located;

the information acquired by the terminal from the SIM card comprises the first preset network mode;

and the information acquired by the terminal from the SIM card does not contain the first preset network mode.

Optionally, the first preset network mode may be a 4G or 5G or more network mode.

Optionally, the S10 step may include: and acquiring the network environment information of the area where the terminal is located through a network detection module on the terminal.

Optionally, the S10 step may include: and acquiring the network environment information configured by the SIM card of the terminal through a network detection module on the terminal.

Optionally, the step S10 includes:

responding to the fact that the area where the terminal is located is a conventional area, acquiring a conventional network deployment hot spot map corresponding to the conventional area, and determining network environment information of the conventional area where the terminal is located based on the conventional network deployment hot spot map; and/or the presence of a gas in the gas,

and in response to the fact that the area where the terminal is located is an unconventional area, acquiring a local network deployment map corresponding to the unconventional area, and determining network environment information of the unconventional area where the terminal is located based on the local network deployment map corresponding to the unconventional area.

Optionally, the method further comprises at least one of:

after or simultaneously with the step of acquiring the local network deployment map corresponding to the unconventional area in response to the fact that the area where the terminal is located is the unconventional area, the method further comprises:

and in response to the fact that the cell or adjacent cell communication data are not consistent with the local network deployment map, determining network environment information of an unconventional area where the terminal is located based on the cell or adjacent cell communication data, and/or updating the local network deployment map corresponding to the unconventional area according to the cell or adjacent cell communication data.

Optionally, communication data of a cell or a neighboring cell of an unconventional area where the terminal is located may be measured;

comparing the cell or neighbor cell communication data with a local network deployment map corresponding to the unconventional area;

if the cell or adjacent cell communication data is inconsistent with the local network deployment map, the network environment information of the unconventional area where the terminal is located can be determined based on the cell or adjacent cell communication data, and/or the local network deployment map corresponding to the unconventional area is updated according to the cell or adjacent cell communication data, so that the network environment information of the area where the terminal is located can be accurately obtained through the scheme.

Optionally, the step of obtaining the conventional network deployment hotspot map corresponding to the conventional area may further include:

and determining a conventional network deployment hotspot map of a conventional area where the terminal is located.

Optionally, the determining of the conventional network deployment hotspot map of the conventional area where the terminal is located includes at least one of:

determining based on a local network deployment map corresponding to the conventional area;

the terminal communication method is determined based on historical communication information of the terminal in a conventional area and combined with AI machine learning training.

Optionally, based on historical communication information of the terminal in a conventional area, and in combination with a scheme of determining a conventional network deployment hotspot map of the conventional area where the terminal is located in association with AI machine learning training, on the basis of ensuring that the rules of a 3GPP protocol are not violated, in combination with a user personal portrait and big data historical communication information, a terminal network search strategy supporting 5G SA is optimized through AI intelligent prediction, so that the use experience of a user is improved, and meanwhile, the power consumption of the terminal is ensured to be reduced.

Optionally, in the scheme of determining the conventional network deployment hotspot map of the conventional area where the terminal is located based on the historical communication information of the terminal in the conventional area and in combination with AI machine learning training, an individual user network representation of the conventional area (or referred to as conventional environment) is formed through AI machine learning training, and the conventional network deployment hotspot map of the conventional area where the terminal is located is constructed.

After the network representation of the individual users in the conventional area is formed, if communication data of the unconventional area (or unconventional environment) is received, the communication data is compared with local network deployment map information input by the cloud end, judgment is carried out according to a comparison result, and meanwhile, the local network deployment map of the unconventional area can be reversely updated according to the received communication data.

One embodiment is as follows:

when a user goes from a conventional area to other hot spot areas, the network environment cognition/identification of the unconventional area outside the conventional environment of the user can be expanded by deploying the hot spot map through the built-in local network. And comparing the identified network environment communication data of the unconventional area with local network deployment map information of the unconventional area input by a cloud terminal, and judging according to a comparison result.

Meanwhile, the network deployment hotspot map of the unconventional area can be reversely updated according to the measured current cell environment, so that the decision making judgment is more accurate. By the method, the time consumed by AI machine learning within a period of time is avoided, the decision output is more timely, and the power consumption of the terminal system is reduced.

Optionally, when the evaluation is performed according to the comparison result, the decision of closing the 5G channel is mainly evaluated, for example, if it is determined that the non-conventional area where the terminal is located has the network mode of 5G or more than 5G according to the comparison result, the SA access is not closed, so that the terminal executes the network search residence policy of the high-priority access, and if it is determined that the non-conventional area where the terminal is located does not have the network mode of 5G or more than 5G according to the comparison result, the SA access is closed, so that the terminal does not execute the network search residence policy of the network mode of 5G or more than 5G.

Optionally, when the above evaluation is performed according to the comparison result, the following evaluation may be output: based on the stability index of the cell, a decision is made whether to change the RAT, the serving cell and the reselection/handover path. For example: in a 3G connection state, due to lack of network 4G neighbor cell configuration, a 4G cell cannot reside, and in such a scenario, it is necessary to decide whether to change an RAT, a serving cell, and a reselection/handover path based on a stability index of the cell.

Optionally, the method further comprises:

collecting historical communication information of the terminal in a conventional area, wherein:

the historical communication information includes at least one of:

network mode of terminal residence, signal intensity of service cell and adjacent cell, relation distribution of cell and adjacent cell;

the serving cell detects the result for the 5G SA background network when the serving cell stays in the 2G/3G/4G network mode;

the method comprises the steps that (1) neighbor cell measurement of a 5G SA cell configured by a network is reserved in a 2G/3G/4G network mode;

and (4) residing in a 2G/3G/4G/5G network mode, and stability indexes (including cell residence time, switching frequency, call completing rate, packet loss reselection rate, BLER and the like) of a terminal residing state.

Optionally, the step of obtaining the conventional network deployment hotspot map corresponding to the conventional area may include:

and in response to that the conventional network deployment hot spot map corresponding to the conventional area is not obtained, determining the conventional network deployment hot spot map corresponding to the conventional area through AI machine learning training based on historical communication information of the terminal in the conventional area.

Optionally, when the area where the terminal is located is determined to be a conventional area, if the conventional network deployment hot spot map corresponding to the conventional area is not obtained, historical communication information of the terminal in the conventional area is obtained, the conventional network deployment hot spot map corresponding to the conventional area is determined through AI machine learning training based on the historical communication information of the terminal in the conventional area, and therefore an individual user network representation of the conventional area can be formed through continuous obtaining of the historical communication information of the terminal in the conventional area and the AI machine learning training, and the conventional network deployment hot spot map of the conventional area where the terminal is located is constructed.

Optionally, before the step S10, the method further includes the step of:

and prefabricating a local network deployment map corresponding to each area.

Alternatively, the local network deployment map corresponding to each area may be constructed by collecting historical communication information of each area, including cell or neighboring cell communication data and the like. So that the network environment information of the area where the terminal is located can be determined according to the local network deployment map corresponding to each area.

Optionally, the method may further include:

and if the terminal is in the second network mode and the network configuration above the second network mode is lacked, controlling the terminal to execute a network search residing strategy of high-priority access according to the historical communication information of the terminal in the residing area.

Alternatively, the second network mode may be ranked lower than the 4G network mode.

One embodiment is as follows:

if a user resides in a 3G network and initiates a service request, the 4G neighbor configuration is lost in a 3G network connection state, and a terminal cannot be switched to 4G, so that the user cannot acquire larger bandwidth and speed (for example, 4G or 5G).

The following describes in detail the processing principle of the terminal in the solution of this embodiment with reference to fig. 5:

optionally, the network mode set by the terminal is 5G preferred or at least 5G supported.

As shown in fig. 5, the terminal system includes 4 modules: cloud control module, AI network detection module, power consumption control module, modem communication protocol layer, wherein:

the cloud control module has the functions that: the method comprises the steps that a public open global network deployment map is collected based on an operator/Google map and a test, and a target market terminal user is pushed through a cloud control interface (4);

the AI network detection module has the following functions: receiving information input by a Modem communication protocol layer through an interface (1), receiving information input by a cloud control module through a cloud control interface (4), training through a built-in AI (artificial intelligence) model based on the information input by the Modem communication protocol layer and the cloud control module, and outputting a decision;

the power consumption control module has the functions of: receiving the decision output by the AI network detection module through the interface (2), and controlling the action of a Modem communication protocol layer through the interface (3) based on the decision of the AI network detection module;

modem communication protocol layer functions: on one hand, AI training data required by the AI network detection module is collected and reported, and on the other hand, the instruction of the power consumption control module is executed and responded;

the detailed scheme is as follows:

for the Modem communication protocol layer, the data to be reported by the Modem communication protocol layer includes, but is not limited to, the following:

resident network mode, serving cell and neighbor cell signal strength and cell (and neighbor) relationship distribution;

the serving cell detects the result for the 5G SA background network after the 2G/3G/4G network mode is reserved;

the method comprises the steps that (1) neighbor cell measurement of a 5G SA cell configured by a network is reserved in a 2G/3G/4G network mode;

and (4) residing in a 2G/3G/4G/5G network mode, and stability indexes of a residing state (including cell residing duration, switching frequency, call completing rate, packet loss reselection rate, BLER and the like).

For the AI network detection module, after the AI network detection module receives the data of the Modem communication protocol layer, AI model training is carried out to form a network portrait of an individual user in a conventional environment.

After the network portrait of the individual user in the ' conventional environment ' is formed, if communication data in the non- ' conventional environment ' is received, the communication data in the ' conventional environment ' is compared with the local network deployment map information input by the cloud control module, judgment is carried out according to a comparison result, and meanwhile, the network deployment map in the non-conventional environment ' can be reversely updated according to the received communication data.

Optionally, the output evaluation result may include: 5G channel switch decision; and/or deciding whether to change the RAT, the serving cell, the reselection/handover path and the like based on the stability index of the cell.

For example: in a 3G connection state, due to lack of network 4G neighbor cell configuration, a 4G cell cannot reside, and in such a scenario, it is necessary to decide whether to change an RAT, a serving cell, and a reselection/handover path based on a stability index of the cell.

Alternatively, a "conventional environment" refers to a commute line/place, resident place, of a user on a daily basis, on a two-point-by-one basis.

And for the power consumption control module, after receiving the decision instruction of the AI network detection module, the power consumption control module converts the decision instruction into an instruction which can be identified by the Modem communication protocol layer and sends the instruction to the Modem communication protocol layer to execute action/receive response.

Compared with the related technology, the scheme of the embodiment of the invention determines whether to close the SA access or not according to the identified network environment information by forward judgment, namely intelligent identification of the regional network distribution of the terminal, solves the problems of invalid network search and power consumption increase caused by the fact that the existing network 5G SA network is low in deployment duty ratio and the terminal supporting 5G needs to meet the high-priority access technology resident strategy, avoids the unnecessary optimal network detection process, effectively reduces the power consumption of UE, improves the whole machine standby time of the UE and improves the user experience.

Optionally, the step S20 includes:

determining whether to close the SA access based on the network environment information and combining at least one of the following items:

a terminal state;

the user has historical usage.

Optionally, the terminal state may include: battery level, communication quality, bandwidth requirements, subscription traffic, mobility state.

Alternatively, whether to shut down the SA path may be determined in conjunction with the battery power of the terminal.

Compared with the 4G LTE,5G SA, the power consumption is larger, so that the SA access can be closed when the battery power of the terminal is lower than a preset threshold value.

Alternatively, whether to close the SA path may be determined in conjunction with the communication quality of the terminal.

Considering the communication quality provided by the 5G SA, whether to shut down the SA path is determined in conjunction with the communication quality provided by the 5G SA. The method specifically comprises the following steps: BLER/terminal received signal quality is poor, or the bandwidth provided by the network makes 5G signal quality poor or provides insufficient network resources, such as: when the BLER is high, or the quality of the 5G signal received by the cell edge is poor, or the provided network resources are insufficient, the experience under the 5G SA is poor, and then the SA path may be closed.

Alternatively, whether to close the SA path may be determined in conjunction with the bandwidth requirements of the terminal.

For example, for app applications with low traffic demand (e.g., web applications or instant chat applications, which may be satisfied by a 4G network), the SA path may be closed;

alternatively, whether to close the SA path may be determined in conjunction with the subscription traffic of the terminal.

For example, the SA may be turned off when the monthly subscription package traffic of the terminal is below a preset threshold. Because the 5G flow is consumed quickly, the situation that the use of a user is influenced due to insufficient flow of the terminal at the end of a month can be avoided by adopting the mode.

Alternatively, whether to close the SA path may be determined in conjunction with the moving state of the terminal.

Considering that a high frequency band is used by 5G, the coverage of a cell is small, and when a terminal is in a high-speed mobile state, in order to ensure service continuity, there are many cell reselections/handovers, which may have a certain influence on service experience of a user (for example, influence on continuity of a call).

Therefore, after the terminal detects the high-speed moving state, the SA path may be closed to ensure continuity/fluency of the service experience.

Optionally, the user historical usage may include (in conjunction with D1) at least one of:

1) User experience (including application blocking situation, voNR voice call quality detection, call connection rate/call drop rate index and the like) in a 5G SA network residing at a certain time period/certain place can be recorded locally and an SA access can be closed if the experience is not good;

2) Setting a terminal network mode by a user in a certain period;

3) User specific terminal mode (such as conference mode, do not disturb mode, drive mode, etc.) settings for terminal network mode.

EXAMPLE III

Referring to fig. 6, fig. 6 is a schematic flow chart of a third embodiment of the processing method of the present application.

In this embodiment, the processing method of the present application is applied to the terminal device (hereinafter referred to as a terminal), such as UE, as described above, where the terminal establishes a communication connection with a network device in a network communication system where the terminal is located, the network device may be a base station, and the like.

As shown in fig. 6, the processing method includes the steps of:

s200: whether to close the SA path is determined based on the network map.

The main execution body of the method of this embodiment may be a terminal, such as a UE, where the UE is an electronic device supporting a fifth generation mobile communication technology non-independent networking 5G NSA and/or a fifth generation mobile communication technology independent networking 5G SA networking mode and a networking mode of more than 5G.

Optionally, the communication protocol stacks are all access technologies that preferentially camp on the highest-level network, that is, compared to 4G, a terminal with 5G capability preferentially or actively attempts to search for and camp on 5G.

In the scheme of the embodiment, a 5G SA access start strategy is configured, and the 5G SA access start strategy is to close 5G or more network modes, so that an unnecessary optimal network detection process is avoided, power consumption is reduced, and the standby time of the whole device is prolonged.

Alternatively, whether to close the SA path may be determined based on a network map of the network environment in which the terminal is located.

For example, if the network map of the network environment in which the terminal is located includes SA network deployment in a 5G or more than 5G network mode, the SA access is not closed, so that the terminal executes a network search residing policy of high-priority access; and/or closing the SA access if the network map of the network environment of the terminal does not comprise the SA network deployment of the network mode of 5G or more than 5G, so that the terminal does not execute the network search resident strategy of the network mode of 5G or more than 5G.

One embodiment is as follows:

if the situation that the 5G SA network deployment does not exist in the home or company place of the user is determined through the network map, the terminal supporting the 5G SA access technology does not try 5G network searching (including foreground and background searching), and therefore unnecessary network searching can be reduced and power consumption of a terminal system can be reduced through intelligent identification of the network environment.

Therefore, whether the SA access is closed or not is determined based on the network map, so that the problem that the power consumption of the terminal is increased due to 'invalid' 5G SA network search/detection in the area with low coverage ratio of the 5G network of the terminal supporting the 5G and above network modes is solved, an unnecessary optimal network detection process is avoided, the power consumption is reduced, and the standby time of the whole machine is prolonged.

Compared with the related technology, the scheme of the embodiment of the invention carries out forward judgment, namely, intelligent identification of network distribution is carried out through a network map of the area where the terminal is located, whether an SA access is closed or not is determined according to the identified network distribution, the problems of invalid network search and power consumption increase caused by the fact that the existing network 5G SA network deployment ratio is low and the terminal supporting 5G needs to meet a high-priority access technology residence strategy are solved, an unnecessary optimal network detection process is avoided, the power consumption of UE is effectively reduced, the whole machine standby time of the UE is prolonged, and the experience degree of a user is improved.

Optionally, the S200 step may include:

if the network map has SA network deployment in a first preset network mode, not closing an SA passage so as to enable the terminal to execute a network search resident strategy of high-priority access; and/or the presence of a gas in the gas,

if the network map does not have SA network deployment in the first preset network mode, closing an SA passage to enable the terminal not to execute the network search resident strategy in the first preset network mode.

Optionally, the network map comprises at least one of:

a local network deployment map corresponding to the area where the terminal is located;

a local network deployment map corresponding to a conventional area where the terminal is located;

deploying a hot spot map in a conventional network corresponding to a conventional area where the terminal is located;

and the local network deployment map corresponding to the unconventional area where the terminal is located.

Optionally, the S200 step may include:

determining network environment information based on the network map;

if the network environment has SA network deployment in a first preset network mode, not closing an SA path so as to enable the terminal to execute a network search resident strategy of high-priority access; and/or the presence of a gas in the atmosphere,

if the network environment does not have SA network deployment in the first preset network mode, closing an SA path to enable the terminal not to execute the network search resident strategy in the first preset network mode.

Optionally, the network environment information includes at least one of:

the first preset network mode exists in the area where the terminal is located;

the first preset network mode does not exist in the area where the terminal is located;

the first preset network mode exists in a conventional area where the terminal is located;

and the first preset network mode does not exist in the normal area where the terminal is located.

Optionally, the area where the terminal is located may be a regular area or an irregular area.

Optionally, the regular area in which the terminal is located may include at least one of: a user resident place and a two-point one-line commuting line/place which is daily established by the user.

The non-regular area where the terminal is located may be another temporary area to which the terminal leaves the regular area, such as other areas to which business trips, tourism, etc. go.

Optionally, if the network environment where the terminal last resided in the network includes an SA network deployment in a network mode of 5G or more than 5G, the SA access is not closed, so that the terminal executes a network search residence policy accessed to the network environment where the terminal last resided in the network; and/or if the network environment information of the terminal for the last network residence does not comprise SA network deployment in a 5G or more than 5G network mode, closing an SA passage so that the terminal does not execute a network search residence strategy in the 5G or more than 5G network mode.

One implementation is as follows:

before the terminal is powered off or is in a stay-away (DETACH) state, the environment connected with the network is 5G, and the terminal does not turn off 5G SA network search; if the terminal is connected in a dual link manner including LTE technology before power off or leaving network (DETACH), for example: EN-DC (EUTRA-NR Dual Connectivity, LTE-NR Dual Connectivity), NGEN-DC (NG-RAN E-UTRA-NR Dual Connectivity, LTE-NR Dual Connectivity of NR core network), NE-DC (NR-E-UTRA Dual Connectivity, NR-LTE Dual Connectivity), or connected only in LTE, WCDMA, GSM, etc., the terminal closes the 5G SA network search.

Optionally, the terminal determines the network environment information according to the information stored in the SIM card. Optionally, the terminal reads the SIM card PLMN information and the corresponding access information to determine whether to close the SA access. Optionally, if the SIM card indicates that the access information of the corresponding PLMN contains 5G, the terminal does not close the SA access; and/or if the SIM card indicates that the access information of the corresponding PLMN does not contain 5G, the terminal closes the SA access.

Therefore, the network environment information is determined based on the network map, and whether the SA access is closed is determined based on the network environment information, so that the problem that the power consumption of the terminal is increased due to 'invalid' 5G SA network search/detection in the area with low coverage ratio of the 5G network of the terminal supporting the 5G and above network modes is solved, the unnecessary optimal network detection process is avoided, the power consumption is reduced, and the standby time of the whole machine is prolonged.

Fourth embodiment

Referring to fig. 7, fig. 7 is a flowchart illustrating a processing method according to a second embodiment of the present application.

As shown in fig. 7, before the step S200, the method may further include the steps of:

and S100, acquiring a network map.

Optionally, the S100 step may include:

responding to the situation that the area where the terminal is located is a conventional area, and acquiring a conventional network deployment hotspot map corresponding to the conventional area; and/or the presence of a gas in the atmosphere,

and in response to the fact that the area where the terminal is located is an unconventional area, acquiring a local network deployment map corresponding to the unconventional area.

Optionally, determining network environment information of a conventional area where the terminal is located based on the conventional network deployment hotspot map; and/or determining the network environment information of the unconventional area where the terminal is located based on the local network deployment map corresponding to the unconventional area.

Optionally, at least one of the following may also be included:

after or at the same time as the step of acquiring the local network deployment map corresponding to the unconventional area in response to the fact that the area where the terminal is located is the unconventional area, the method may further include:

and in response to the fact that the cell or adjacent cell communication data are not consistent with the local network deployment map, updating the local network deployment map corresponding to the unconventional area according to the cell or adjacent cell communication data.

Optionally, in response to the fact that the cell or neighboring cell communication data is inconsistent with the local network deployment map, determining network environment information of an unconventional area where the terminal is located based on the cell or neighboring cell communication data, and/or updating the local network deployment map corresponding to the unconventional area according to the cell or neighboring cell communication data.

Optionally, cell or neighbor cell communication data of an unconventional area where the terminal is located may be measured;

comparing the cell or neighbor cell communication data with a local network deployment map corresponding to the unconventional area;

if the cell or adjacent cell communication data is inconsistent with the local network deployment map, the network environment information of the unconventional area where the terminal is located can be determined based on the cell or adjacent cell communication data, and/or the local network deployment map corresponding to the unconventional area is updated according to the cell or adjacent cell communication data, so that the network environment information of the area where the terminal is located can be accurately obtained through the scheme.

Optionally, before the step S100, the method may further include the step of:

and S1000, determining a conventional network deployment hotspot map corresponding to the conventional area.

Optionally, the S1000 step includes at least one of:

determining based on a local network deployment map corresponding to the regular area;

the terminal communication method is determined based on historical communication information of the terminal in a conventional area and combined with AI machine learning training.

Optionally, based on historical communication information of the terminal in a conventional area, and a scheme of determining a conventional network deployment hotspot map of the conventional area where the terminal is located by combining AI machine learning training, on the basis of ensuring that a 3GPP protocol regulation is not violated, a terminal network search strategy supporting 5G SA is optimized by combining a user personal portrait and big data historical communication information through AI intelligent prediction, so that the use experience of the user is improved, and the power consumption of the terminal is also ensured to be reduced.

Optionally, in the scheme of determining the conventional network deployment hotspot map of the conventional area where the terminal is located based on the historical communication information of the terminal in the conventional area and in combination with AI machine learning training, an individual user network representation of the conventional area (or referred to as conventional environment) is formed through AI machine learning training, and the conventional network deployment hotspot map of the conventional area where the terminal is located is constructed.

After the network representation of the individual users in the conventional area is formed, if communication data of the unconventional area (or unconventional environment) is received, the communication data is compared with local network deployment map information input by the cloud end, judgment is carried out according to a comparison result, and meanwhile, the local network deployment map of the unconventional area can be reversely updated according to the received communication data.

One embodiment is as follows:

when a user goes from a conventional area to other hot spot areas, the network environment cognition/identification of the unconventional area outside the conventional environment of the user can be expanded by deploying the hot spot map through the built-in local network. And comparing the identified network environment communication data of the unconventional area with local network deployment map information of the unconventional area input by a cloud end, and judging according to a comparison result.

Meanwhile, the network deployment hotspot map of the unconventional area can be reversely updated according to the measured current cell environment, so that the decision making judgment is more accurate. By the method, the time consumed by AI machine learning within a period of time is avoided, the decision output is more timely, and the power consumption of the terminal system is reduced.

Optionally, when the evaluation is performed according to the comparison result, the decision of closing the 5G channel is mainly evaluated, for example, if it is determined that the non-conventional area where the terminal is located has the network mode of 5G or more than 5G according to the comparison result, the SA access is not closed, so that the terminal executes the network search residence policy of the high-priority access, and if it is determined that the non-conventional area where the terminal is located does not have the network mode of 5G or more than 5G according to the comparison result, the SA access is closed, so that the terminal does not execute the network search residence policy of the network mode of 5G or more than 5G.

Optionally, when the above evaluation is performed according to the comparison result, the following evaluation may be output: based on the stability index of the cell, a decision is made whether to change the RAT, the serving cell and the reselection/handover path. For example: in a 3G connection state, due to lack of network 4G neighbor cell configuration, a 4G cell cannot reside, and in such a scenario, it is necessary to decide whether to change an RAT, a serving cell, and a reselection/handover path based on a stability index of the cell.

Optionally, the method further comprises:

collecting historical communication information of the terminal in a conventional area, wherein:

the historical communication information includes at least one of:

the terminal residence network mode, the signal intensity of a serving cell and a neighboring cell, and the relation distribution of the cell and the neighboring cell;

the serving cell detects the result for the 5G SA background network when the serving cell stays in the 2G/3G/4G network mode;

the method comprises the following steps of (1) performing neighbor cell measurement of a 5G SA cell configured by a network after a 2G/3G/4G network mode is reserved;

and (4) residing in a 2G/3G/4G/5G network mode, and stability indexes (including cell residence time, switching frequency, call completing rate, packet loss reselection rate, BLER and the like) of a terminal residing state.

Optionally, the step of obtaining the conventional network deployment hotspot map corresponding to the conventional area may include:

and in response to that the conventional network deployment hotspot map corresponding to the conventional area is not acquired, determining the conventional network deployment hotspot map corresponding to the conventional area through AI machine learning training based on historical communication information of the terminal in the conventional area.

Optionally, when the area where the terminal is located is determined to be a conventional area, if the conventional network deployment hotspot map corresponding to the conventional area is not obtained, historical communication information of the terminal in the conventional area is obtained, the conventional network deployment hotspot map corresponding to the conventional area is determined through AI machine learning training based on the historical communication information of the terminal in the conventional area, so that a conventional area individual user network representation can be formed through continuous obtaining of the historical communication information of the terminal in the conventional area and through AI machine learning training, and the conventional network deployment hotspot map of the conventional area where the terminal is located is constructed.

Optionally, before the step S100, the method further includes the steps of:

and prefabricating local network deployment maps corresponding to the areas.

Optionally, the local network deployment map corresponding to each area may be constructed by collecting historical communication information of each area, including cell or neighboring cell communication data and the like. So that the network environment information of the area where the terminal is located can be determined according to the local network deployment map corresponding to each area.

Optionally, the method may further include:

and if the terminal is in the second network mode and the network configuration of the network above the second network mode is lacked, controlling the terminal to execute a network search residing strategy of high-priority access according to the historical communication information of the terminal in the residing area.

Optionally, the second network mode may be ranked lower than the 4G network mode.

One implementation is as follows:

if a user resides in a 3G network and initiates a service request, the 4G neighbor configuration is lost in a 3G network connection state, and a terminal cannot be switched to 4G, so that the user cannot acquire larger bandwidth and speed (for example, 4G or 5G).

The terminal function structure and principle of the present embodiment may be implemented with reference to fig. 5, and reference may be made to the foregoing embodiments specifically, which are not described herein again.

Optionally, the step S200:

determining whether to close the SA passage based on the network map and combining at least one of the following items:

a terminal state;

the user has historical usage.

Optionally, the terminal state may include: battery level, communication quality, bandwidth requirements, subscription traffic, mobility state.

Alternatively, whether to close the SA path may be determined in conjunction with the battery level of the terminal.

Compared with the 4G LTE and the 5G SA, the power consumption is larger, so that the SA access can be closed when the battery power of the terminal is lower than a preset threshold value.

Alternatively, whether to close the SA path may be determined in conjunction with the communication quality of the terminal.

Considering the communication quality provided by the 5G SA, whether to shut down the SA path is determined in conjunction with the communication quality provided by the 5G SA. The method specifically comprises the following steps: BLER/terminal received signal quality is poor, or the bandwidth provided by the network is such that 5G signal quality is poor or network resources are not sufficient, such as: when the BLER is high, or the quality of the 5G signal received by the cell edge is poor, or the provided network resources are insufficient, the experience under the 5G SA is poor, and then the SA path may be closed.

Alternatively, whether to shut down the SA path may be determined in conjunction with the bandwidth requirements of the terminal.

For example, for app applications with low traffic demand (e.g., web applications or instant chat applications, which may be satisfied by a 4G network), the SA path may be closed;

alternatively, whether to close the SA path may be determined in conjunction with the subscription traffic of the terminal.

For example, the SA may be turned off when the monthly subscription package traffic of the terminal is below a preset threshold. Because the 5G flow is consumed quickly, the situation that the use of a user is influenced due to insufficient flow of the terminal at the end of a month can be avoided by adopting the mode.

Alternatively, whether to close the SA path may be determined in conjunction with the moving state of the terminal.

Considering that the high frequency band is used by 5G, the coverage area of the cell is small, and when the terminal is in a high-speed moving state, in order to ensure service continuity, there are more cell reselections/handovers, which may cause a certain influence (for example, influence on continuity of a call) on the service experience of the user.

Therefore, after the terminal detects the high-speed moving state, the SA path may be closed to ensure continuity/fluency of service experience.

Optionally, the user historical usage may include (in conjunction with D1) at least one of:

1) User experience (including application blocking situation, voNR voice call quality detection, call connection rate/call drop rate index and the like) in a 5G SA network residing at a certain time period/certain place can be performed, if the experience is poor, local recording can be performed, and an SA access can be closed;

2) Setting a terminal network mode by a user in a certain period;

3) User specific terminal mode (such as conference mode, do not disturb mode, drive mode, etc.) settings for terminal network mode.

Referring to fig. 8, fig. 8 is a schematic functional block diagram of the communication device according to the present application.

This application communication device is applied to terminal equipment, and this application communication device can include:

and the processing module is used for determining whether to close the SA access or not based on the network environment information.

Optionally, the processing module further comprises:

and the acquisition module is used for acquiring the network environment information.

Optionally, the function of each module in the communication device is implemented corresponding to each step in the processing method embodiment, and the function and implementation process are not described in detail here.

Fig. 9 is a schematic diagram of functional modules of the communication device according to the present application, and fig. 9 is a schematic diagram of the communication device according to the present application.

The communication device is applied to the terminal equipment, and the communication device can comprise:

and the processing module is used for determining whether to close the SA access or not based on the network map.

Optionally, the processing module further comprises:

and the acquisition module is used for acquiring the network map.

Optionally, the function of each module in the communication device is implemented corresponding to each step in the processing method embodiment, and the function and implementation process are not described in detail here.

An embodiment of the present application further provides a communication device, where the communication device includes a memory and a processor, where the memory stores a computer program, and the computer program, when executed by the processor, implements the steps of the processing method in any of the above embodiments. The communication device may be a terminal device in the processing method, and when the communication device is used as the terminal device, the communication device may specifically be: mobile phone, tablet computer, notebook computer, palm computer, personal Digital Assistant (PDA), portable Media Player (PMP), navigation device, wearable device, smart band, pedometer and other terminal devices. Alternatively, the communication device may also be a network device in the processing method, and when the communication device is the network device, the communication device may specifically be a base station or the like.

The embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the processing method in any of the above embodiments are implemented.

In the embodiments of the communication device and the computer-readable storage medium provided in the present application, all technical features of any one of the embodiments of the processing method may be included, and the expanding and explaining contents of the specification are substantially the same as those of the embodiments of the method, and are not described herein again.

Embodiments of the present application also provide a computer program product, which includes computer program code, when the computer program code runs on a computer, the computer is caused to execute the method in the above various possible embodiments.

Embodiments of the present application further provide a chip, which includes a memory and a processor, where the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that a device in which the chip is installed executes the method in the above various possible embodiments.

The above-mentioned serial numbers of the embodiments of the present application are merely for description, and do not represent the advantages and disadvantages of the embodiments.

It is to be understood that the foregoing scenarios are only examples, and do not constitute a limitation on application scenarios of the technical solutions provided in the embodiments of the present application, and the technical solutions of the present application may also be applied to other scenarios. For example, as can be known by those skilled in the art, with the evolution of system architecture and the emergence of new service scenarios, the technical solution provided in the embodiments of the present application is also applicable to similar technical problems.

The above-mentioned serial numbers of the embodiments of the present application are merely for description, and do not represent the advantages and disadvantages of the embodiments.

The steps in the method of the embodiment of the application can be sequentially adjusted, combined and deleted according to actual needs.

The units in the device in the embodiment of the application can be merged, divided and deleted according to actual needs.

In the present application, the same or similar term concepts, technical solutions and/or application scenario descriptions will be generally described only in detail at the first occurrence, and when the description is repeated later, the detailed description will not be repeated in general for brevity, and when understanding the technical solutions and the like of the present application, reference may be made to the related detailed description before the description for the same or similar term concepts, technical solutions and/or application scenario descriptions and the like which are not described in detail later.

In the present application, each embodiment is described with an emphasis on the description, and reference may be made to the description of other embodiments for parts that are not described or recited in any embodiment.

The technical features of the technical solution of the present application may be arbitrarily combined, and for brevity of description, all possible combinations of the technical features in the embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, the scope of the present application should be considered as being described in the present application.

Through the description of the foregoing embodiments, it is clear to those skilled in the art that the method of the foregoing embodiments may be implemented by software plus a necessary general hardware platform, and certainly may also be implemented by hardware, but in many cases, the former is a better implementation. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, a controlled terminal, or a network device) to execute the method of each embodiment of the present application.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital subscriber line) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, storage Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), among others.

The above description is only for the preferred embodiment of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, or indirectly applied to other related technical fields, which are made by the contents of the present specification and the accompanying drawings, are included in the scope of the present application.