Processing method, communication device, and computer-readable storage medium

Abstract

In the technical solution of the present application, an artificial intelligence / machine learning function configuration is released on the basis of first content. Therefore, a processing mechanism for an available artificial intelligence / machine learning function configuration of a terminal device is perfected, thereby supporting an improvement in the memory management efficiency of the terminal device and / or the accuracy of reporting an available artificial intelligence / machine learning function.

Description

Processing method, communication device and computer-readable storage medium Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a processing method, a communication device, and a computer-readable storage medium. Background Art

[0002] Artificial Intelligence / Machine Learning (AI / ML) plays an important role in communication network planning, deployment, and operation and maintenance management. During application, terminal devices need to report available AI / ML functions to network devices, and / or network devices need to obtain the available AI / ML functions of terminal devices so that the network devices can reasonably configure their functions and / or maintain consistency in the function configurations on the network and terminal devices.

[0003] During the process of conceiving and implementing the present application, the inventors discovered that there are at least the following problems: in the existing protocol, the processing mechanism for the AI / ML function configuration available to the terminal device when the switching fails is imperfect, which may lead to inefficient memory management when the terminal device restores the connection, and / or inconsistent AI / ML function configuration between the terminal device and the network device.

[0004] The preceding description is intended to provide general background information and does not necessarily constitute prior art. Technical Solutions

[0005] The main purpose of this application is to provide a processing method, a communication device, and a computer-readable storage medium, which aim to improve the processing mechanism of the AI / ML functional configuration available to the terminal device, thereby supporting the improvement of the memory management efficiency of the terminal device, and / or supporting the improvement of the consistency of the functional configuration of the terminal device and the network device.

[0006] To achieve the above objectives, the present application provides a processing method that can be applied to a terminal device (such as a mobile phone), comprising the steps of:

[0007] S2: Release artificial intelligence or machine learning function configuration based on the first content.

[0008] Optionally, the first content includes at least one of the following:

[0009] Try condition rematching;

[0010] Try layer 1-2 to trigger mobility handover;

[0011] Artificial intelligence or machine learning release instructions;

[0012] Artificial intelligence or machine learning retention indication.

[0013] Optionally, step S2 includes at least one of the following:

[0014] Release the artificial intelligence or machine learning function configuration if the first content is not configured to attempt conditional reconfiguration;

[0015] In the case where the first content is not configured to attempt layer 1 and layer 2 to trigger mobility handover, the artificial intelligence or machine learning function configuration is released;

[0016] In case the first content configures an artificial intelligence or machine learning release indication, releasing the artificial intelligence or machine learning function configuration;

[0017] In a case where the first content is not configured with an artificial intelligence or machine learning retention indication, the artificial intelligence or machine learning function configuration is released.

[0018] Optionally, the method further comprises at least one of the following:

[0019] In response to receiving the switching command, starting a first timer;

[0020] When the execution condition in the conditional switching configuration is met, triggering the conditional switching and starting the second timer;

[0021] In response to receiving a layer 1-2 triggered mobility cell handover command, a third timer is started.

[0022] Optionally, the method further comprises at least one of the following:

[0023] In response to satisfying a first condition, selecting or determining a first content;

[0024] retaining the artificial intelligence or machine learning function configuration based on the first content;

[0025] Start the radio resource control reestablishment process.

[0026] Optionally, the method further comprises at least one of the following:

[0027] The first condition is met, including at least one of the first timer, the second timer, and the third timer timing out;

[0028] The artificial intelligence or machine learning function configuration belongs to at least one of the serving cell, the source primary cell, and the target cell;

[0029] The artificial intelligence or machine learning function configuration is carried in the radio resource control reconfiguration signaling;

[0030] The artificial intelligence or machine learning release indication is carried in at least one of radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1-2 triggered mobility configuration;

[0031] The artificial intelligence or machine learning retention indication is carried in at least one of radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1-2 triggered mobility configuration;

[0032] Artificial intelligence or machine learning function configuration includes: artificial intelligence or machine learning preference configuration, and / or, available function preference configuration.

[0033] Optionally, retaining an artificial intelligence or machine learning function configuration based on the first content includes at least one of the following:

[0034] retaining the artificial intelligence or machine learning functionality configuration in the event of a first content configuration attempt conditional reconfiguration;

[0035] In the case of a first content configuration attempt where layer one and layer two trigger mobility cell handover, retaining the artificial intelligence or machine learning function configuration;

[0036] In the event that the first content is not configured with an artificial intelligence or machine learning release instruction, retaining the artificial intelligence or machine learning function configuration;

[0037] In case the first content configures artificial intelligence or machine learning retention indication, the artificial intelligence or machine learning function configuration is retained.

[0038] The present application also provides a processing method, which can be applied to a network device (such as a base station), comprising the steps of:

[0039] S1: Sending first content to a terminal device, so that the terminal device releases artificial intelligence or machine learning function configuration based on the first content.

[0040] Optionally, the first content includes at least one of the following:

[0041] Try condition rematching;

[0042] Try layer 1-2 to trigger mobility handover;

[0043] Artificial intelligence or machine learning release instructions;

[0044] Artificial intelligence or machine learning retention indication.

[0045] Optionally, the terminal device releases an artificial intelligence or machine learning function configuration based on the first content, including at least one of the following:

[0046] In the case where the first content is not configured to attempt condition reconfiguration, the terminal device releases the artificial intelligence or machine learning function configuration;

[0047] In the case where the first content is not configured to attempt layer 1 and layer 2 to trigger mobility switching, the terminal device releases the artificial intelligence or machine learning function configuration;

[0048] When the first content configures an artificial intelligence or machine learning release indication, the terminal device releases the artificial intelligence or machine learning function configuration;

[0049] In the case that the first content is not configured with an artificial intelligence or machine learning retention indication, the terminal device releases the artificial intelligence or machine learning function configuration.

[0050] Optionally, the method further comprises at least one of the following:

[0051] In response to receiving the switching command, the terminal device starts a first timer;

[0052] When the execution condition in the conditional switching configuration is met, the terminal device triggers the conditional switching and starts the second timer;

[0053] In response to receiving the layer 1-2 triggered mobility cell handover command, the terminal device starts a third timer.

[0054] Optionally, the method further comprises at least one of the following:

[0055] In response to the first condition being met, the terminal device selects or determines the first content;

[0056] The terminal device retains the artificial intelligence or machine learning function configuration based on the first content;

[0057] The terminal device starts the radio resource control reestablishment process.

[0058] Optionally, the method further comprises at least one of the following:

[0059] The first condition is met, including at least one of the first timer, the second timer, and the third timer timing out;

[0060] The artificial intelligence or machine learning function configuration belongs to at least one of the serving cell, the source primary cell, and the target cell;

[0061] The artificial intelligence or machine learning function configuration is carried in the radio resource control reconfiguration signaling;

[0062] The artificial intelligence or machine learning release indication is carried in at least one of radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1-2 triggered mobility configuration;

[0063] The artificial intelligence or machine learning retention indication is carried in at least one of radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1-2 triggered mobility configuration;

[0064] Artificial intelligence or machine learning function configuration includes: artificial intelligence or machine learning preference configuration, and / or, available function preference configuration.

[0065] Optionally, retaining an artificial intelligence or machine learning function configuration based on the first content includes at least one of the following:

[0066] In the event that the first content configuration attempt condition is reconfigured, the terminal device retains the artificial intelligence or machine learning function configuration;

[0067] In the case where the first content configuration attempts layer 1 and layer 2 triggers mobility cell switching, the terminal device retains the artificial intelligence or machine learning function configuration;

[0068] In the case where the first content is not configured with an artificial intelligence or machine learning release indication, the terminal device retains the artificial intelligence or machine learning function configuration;

[0069] In the case where the first content configures an artificial intelligence or machine learning retention indication, the terminal device retains the artificial intelligence or machine learning function configuration.

[0070] The present application also provides a communication device, comprising: a memory, a processor, and a processing program stored in the memory and executable on the processor, wherein the processing program implements the steps of any of the above-described processing methods when executed by the processor.

[0071] The communication device in this application can be a terminal device (such as a mobile phone) or a network device (such as a base station). The specific reference needs to be clarified based on the context.

[0072] The present application also provides a computer-readable storage medium, on which a processing program is stored. When the processing program is executed by a processor, the steps of any of the processing methods described above are implemented.

[0073] The technical solution of this application releases the artificial intelligence or machine learning function configuration based on the first content, improves the processing mechanism of the artificial intelligence or machine learning function configuration available to the terminal device, and further supports improving the memory management efficiency of the terminal device and / or the accuracy of reporting available artificial intelligence or machine learning functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] The accompanying drawings herein are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for describing the embodiments. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without inventive work.

[0075] FIG1 is a schematic diagram of the hardware structure of a mobile terminal for implementing various embodiments of the present application;

[0076] FIG2 is a diagram of a communication network system architecture provided by an embodiment of the present application;

[0077] FIG3 is a schematic diagram of the hardware structure of a controller 140 provided in this application;

[0078] FIG4 is a schematic diagram of the hardware structure of a network node 150 provided in this application;

[0079] FIG5 is a schematic flow chart of a processing method according to the first embodiment;

[0080] FIG6 is a schematic diagram of an interaction sequence according to a second embodiment;

[0081] FIG7 is a schematic flow chart of a processing method according to a third embodiment;

[0082] FIG8 is a schematic diagram of an interaction sequence according to a fourth embodiment;

[0083] FIG9 is a schematic diagram of an interaction sequence according to a fifth embodiment;

[0084] FIG10 is a schematic diagram of an interaction sequence according to a sixth embodiment;

[0085] FIG11 is a schematic flow chart of a processing method according to a seventh embodiment;

[0086] FIG12 is a first structural diagram of a processing device provided in an embodiment of the present application;

[0087] FIG13 is a second structural diagram of a processing device provided in an embodiment of the present application;

[0088] FIG14 is a schematic diagram of the structure of the communication device provided in an embodiment of the present application.

[0089] The purpose of this application, its features, and advantages will be further described in conjunction with the embodiments and with reference to the accompanying drawings. The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and the accompanying text are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of this application to those skilled in the art by reference to specific embodiments.

[0090] Implementation Methods of the Application

[0091] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0092] It should be noted that, in this document, the terms "comprises", "includes" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element, and / or, components, features, and elements with the same name in different embodiments of the present application may have the same meaning or different meanings, and their specific meanings need to be determined by their explanation in the specific embodiment or further combined with the context of the specific embodiment.

[0093] 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 used solely to distinguish information of the same type from one another. For example, without departing from the scope of this disclosure, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the term "if," as used herein, may be interpreted as "upon," "when," or "in response to a determination." Furthermore, 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 should be further understood that the terms "comprising" and "including" indicate the presence of the recited features, steps, operations, elements, components, items, types, and / or groups, but do not preclude the presence, occurrence, or addition of one or more other features, steps, operations, elements, components, items, types, and / or groups. The terms "or," "and / or," "including at least one of the following," etc., as used herein, may be interpreted as inclusive, meaning any one or any combination. For example, “comprising at least one of the following: 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”; and for another example, “A, B or C” or “A, B and / or C” means “any 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 manner.

[0094] It should be understood that, although the various steps in the flowchart in the embodiment of the present application are shown in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence in the order indicated by the arrows. Unless clearly stated herein, the execution of these steps is not strictly limited in order, and they can be performed in other orders. Moreover, at least a portion of the steps in the figure may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and their execution order is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0095] As used herein, the words "if" and "if" may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to the determination" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)," depending on the context.

[0096] It should be noted that in this article, step codes such as S1 and S2 are used for the purpose of expressing the corresponding content more clearly and concisely, and do not constitute a substantial restriction on the order. When implementing the step, those skilled in the art may execute S2 first and then S1, etc., but these should all be within the scope of protection of this application.

[0097] It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0098] In the subsequent description, the use of suffixes such as "module", "component" or "unit" to represent elements is only for the purpose of facilitating the description of the present application and has no specific meaning. Therefore, "module", "component" or "unit" can be used interchangeably.

[0099] The communication device in this application can be a terminal device (such as a mobile phone) or a network device (such as a base station). The specific reference needs to be clarified based on the context.

[0100] The terminal device may be implemented in various forms. For example, the terminal device described in this application may include intelligent terminal devices such as mobile phones, tablet computers, laptop computers, PDAs, portable media players (PMPs), navigation devices, wearable devices, smart bracelets, pedometers, and other fixed terminal devices such as digital TVs and desktop computers.

[0101] The subsequent description will be made using a mobile terminal as an example. Those skilled in the art will understand that, in addition to components specifically used for mobile purposes, the configuration according to the embodiments of the present application can also be applied to fixed-type terminal devices.

[0102] Please refer to Figure 1, which is a schematic diagram of the hardware structure of a mobile terminal for implementing various embodiments of the present application. The mobile terminal 100 may include components such as 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 understand that the mobile terminal structure shown in Figure 1 does not limit the mobile terminal. The mobile terminal may include more or fewer components than shown, or may combine certain components, or arrange the components differently.

[0103] The following is a detailed introduction to the various components of the mobile terminal in conjunction with Figure 1:

[0104] The RF unit 101 can be used to send and receive information or receive signals during calls. Specifically, it receives downlink information from the base station and transmits it to the processor 110 for processing. It also transmits uplink data to the base station. Typically, the RF 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 / or other components. Furthermore, the RF unit 101 can communicate with the network and other devices via wireless communication. The above-mentioned wireless communications may use any communication standard or protocol, including but not limited to GSM (Global System of Mobile communication), 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 Duplexing-Long Term Evolution), TDD-LTE (Time Division Duplexing-Long Term Evolution), 5G and 6G, etc.

[0105] WiFi is a short-range wireless transmission technology. A mobile terminal, through WiFi module 102, enables users to send and receive emails, browse web pages, and access streaming media, providing wireless broadband Internet access. Although FIG1 illustrates WiFi module 102, it is understood that it is not a required component of the mobile terminal and can be omitted as needed without altering the essence of the invention.

[0106] The audio output unit 103 can convert audio data received by the RF unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output it as sound when the mobile terminal 100 is in a call signal reception mode, a talk mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Furthermore, the audio output unit 103 can also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, or the like.

[0107] The A / V input unit 104 is used to receive audio or video signals. The A / V input unit 104 may include a graphics processing unit (GPU) 1041 and a microphone 1042. The GPU 1041 processes image data of still images or videos captured by an image capture device (e.g., a camera) in video capture mode or image capture mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the GPU 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the RF unit 101 or the WiFi module 102. The microphone 1042 may receive sound (audio data) in operating modes such as a phone call mode, a recording mode, and a voice recognition mode, and may process such sound into audio data. In the phone call mode, the processed audio (voice) data may be converted into a format that can be transmitted to a mobile communication base station via the RF unit 101. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to eliminate (or suppress) noise or interference generated during the reception and transmission of audio signals.

[0108] The mobile terminal 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. Optionally, the ambient light sensor can adjust the brightness of the display panel 1061 according to the brightness of the ambient light, and the proximity sensor can turn off the display panel 1061 and / or the backlight when the mobile terminal 100 is moved to the ear. As a type of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in all directions (generally three axes), and can detect the magnitude and direction of gravity when stationary. It can be used for applications that recognize the posture of the mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, tapping), etc.; as for other sensors that can be configured in the mobile phone, such as fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., they will not be described here.

[0109] The display unit 106 is used to display information input by the user or information provided to the user. The display unit 106 may include a display panel 1061, which may be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like.

[0110] The user input unit 107 can be used to receive input digital or character information and generate key signal input related to user settings and function control of the mobile terminal. Optionally, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also known as a touch screen, can collect user touch operations on or near it (such as operations performed by the user using a finger, stylus, or any other suitable object or accessory on or near the touch panel 1071) and drive corresponding connected devices according to a pre-set program. The touch panel 1071 may include two parts: a touch detection device and a touch controller. Optionally, the touch detection device detects the user's touch direction and detects the signal generated by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device and converts it into touch point coordinates, which are then sent to the processor 110. It can also receive and execute commands sent by the processor 110. And / or, the touch panel 1071 can be implemented using various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may further include other input devices 1072. Optionally, the other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, power keys, etc.), a trackball, a mouse, a joystick, etc., and the specifics are not limited here.

[0111] Optionally, the touch panel 1071 may overlay the display panel 1061. When the touch panel 1071 detects a touch operation on or near it, it transmits the information to the processor 110 to determine the type of touch event. The processor 110 then provides a corresponding visual output on the display panel 1061 based on the type of touch event. Although in FIG1 , the touch panel 1071 and the display panel 1061 are shown as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, which is not limited to this specific embodiment.

[0112] The interface unit 108 serves as an interface through which at least one external device can be connected to the mobile terminal 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 with an identification module, an audio input / output (I / O) port, a video I / O port, a headphone port, etc. 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 mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and an external device.

[0113] Memory 109 can be used to store software programs and various data. Memory 109 may primarily include a program storage area and a data storage area. Optionally, the program storage area may store an operating system and at least one application required for a function (such as a sound playback function or an image playback function); the data storage area may store data generated based on the use of the mobile phone (such as audio data, a phone book, etc.). Furthermore, / or, memory 109 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0114] Processor 110 is the control center of the mobile terminal, connecting all components of the mobile terminal using various interfaces and circuits. By running or executing software programs and / or modules stored in memory 109 and accessing data stored in memory 109, it executes various functions of the mobile terminal and processes data, thereby providing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, processor 110 may integrate an application processor and a modem processor. Optionally, the application processor primarily handles the operating system, user interface, and application programs, while the modem processor primarily handles wireless communications. It is understood that the modem processor may not be integrated into processor 110.

[0115] The mobile terminal 100 may also include a power supply 111 (such as a battery) for supplying power to various components. Preferably, the power supply 111 may be logically connected to the processor 110 through a power management system, thereby managing functions such as charging, discharging, and power consumption through the power management system.

[0116] Although not shown in FIG. 1 , the mobile terminal 100 may further include a Bluetooth module, etc., which will not be described in detail here.

[0117] To facilitate understanding of the embodiments of the present application, the communication network system on which the mobile terminal of the present application is based is described below.

[0118] Please refer to Figure 2, which is a communication network system architecture diagram provided in an embodiment of the present application. The communication network system is an NR (New Radio) system of universal mobile communication technology. The NR system includes UE (User Equipment) 201, E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, EPC (Evolved Packet Core) 203 and the operator's IP service 204, which are connected in sequence.

[0119] Optionally, UE201 may be the above-mentioned terminal device 100, which will not be described in detail here.

[0120] E-UTRAN 202 includes eNodeB 2021 and other eNodeBs 2022 . Optionally, eNodeB 2021 may be connected to other eNodeBs 2022 via a backhaul (eg, an X2 interface). eNodeB 2021 is connected to EPC 203 , and eNodeB 2021 may provide access from UE 201 to EPC 203 .

[0121] EPC 203 may include MME (Mobility Management Entity) 2031, HSS (Home Subscriber Server) 2032, other MMEs 2033, SGW (Serving Gate Way) 2034, PGW (PDN Gate Way) 2035, and PCRF (Policy and Charging Rules Function) 2036. MME 2031 is the control node that processes signaling between UE 201 and EPC 203, providing bearer and connection management. HSS 2032 provides registers for managing functions such as the Home Location Register (not shown) and stores user-specific information such as service features and data rates. All user data can be sent through SGW2034, PGW2035 can provide IP address allocation and other functions for UE 201, PCRF2036 is the policy and charging control policy decision point for service data flow and IP bearer resources, and it selects and provides available policy and charging control decisions for the policy and charging execution function unit (not shown in the figure).

[0122] The IP service 204 may include the Internet, an intranet, an IMS (IP Multimedia Subsystem), or other IP services.

[0123] Although the above introduction takes the LTE system as an example, those skilled in the art should know that this application is not only applicable to the LTE system, but can also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, 5G and future new network systems (such as 6G), etc., which are not limited here.

[0124] FIG3 is a schematic diagram of the hardware structure of a controller 140 provided in this application. The controller 140 includes a memory 1401 and a processor 1402. The memory 1401 is used to store program instructions, and the processor 1402 is used to call the program instructions in the memory 1401 to execute the steps performed by the controller in the first embodiment of the above method. The implementation principles and beneficial effects are similar and will not be repeated here.

[0125] Optionally, the controller further includes a communication interface 1403, which can be connected to the processor 1402 via a bus 1404. The processor 1402 can control the communication interface 1403 to implement the receiving and sending functions of the controller 140.

[0126] Figure 4 is a schematic diagram of the hardware structure of a network node 150 provided in this application. Network node 150 includes: a memory 1501 and a processor 1502. Memory 1501 is used to store program instructions, and processor 1502 is used to call the program instructions in memory 1501 to execute the steps performed by the first node in the first embodiment of the above method. The implementation principles and beneficial effects are similar and will not be repeated here.

[0127] Optionally, the controller further includes a communication interface 1503, which can be connected to the processor 1502 via a bus 1504. The processor 1502 can control the communication interface 1503 to implement the receiving and sending functions of the network node 150.

[0128] The integrated modules implemented in the form of software function modules can be stored in a computer-readable storage medium. The software function modules stored in a storage medium include a number of instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute some of the steps of the methods of various embodiments of the present application.

[0129] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When software is used for implementation, it can 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. When the computer program instructions are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a storage medium or transmitted from one storage medium to another storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrations. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state disk, SSD), etc.

[0130] Based on the above-mentioned mobile terminal hardware structure and communication network system, various embodiments of the present application are proposed.

[0131] Technical terms involved in the embodiments of this application:

[0132] AI / ML: Artificial Intelligence / Machine Learning, artificial intelligence or machine learning;

[0133] BM: Beam Management;

[0134] LCM: Life Cycle Management, life cycle management;

[0135] HO: HandOver, switch;

[0136] CHO:Conditional HandOver,conditional switching;

[0137] LTM: L1 / L2 Triggered Mobility;

[0138] RRC: Radio Resource Control;

[0139] UE: User Equipment, terminal equipment;

[0140] NW: Network, network equipment;

[0141] CSI: Channel State Information, channel state information;

[0142] DCI: Downlink Control Information, downlink control information;

[0143] MAC CE: Media Access Control Control Element, media access control control element;

[0144] UAI: UE Assistance Information, terminal equipment assistance information;

[0145] MCG: Master Cell Group, main cell group;

[0146] RLF: Radio Link Failure, wireless link failure;

[0147] RACH: Random Access CHannel, random access channel;

[0148] PCell, Primary Cell, primary cell;

[0149] PScell, Primary Secondary cell, primary and secondary cell.

[0150] First embodiment

[0151] 5 , which is a flow chart of a processing method according to a first embodiment, the processing method of the embodiment of the present application can be applied to a terminal device (such as a mobile phone), including the following steps:

[0152] S2: Release artificial intelligence or machine learning function configuration based on the first content.

[0153] Optionally, the terminal device needs to process artificial intelligence or machine learning function configuration when the handover fails, and the scenarios involved mainly include at least one of handover (HO), conditional handover (CHO), layer 1L2 triggered mobility (LTM, L1L2 Triggered Mobility) cell switching and radio resource control re-establishment (RRC re-establishment).

[0154] Optionally, after the terminal device fails to switch, it is determined based on the first content whether to release or retain the artificial intelligence or machine learning function configuration.

[0155] Optionally, after the terminal device fails to perform conditional switching and / or LTM switching, it determines whether to retain or release the artificial intelligence or machine learning function configuration based on whether the fast recovery condition is configured.

[0156] Optionally, the artificial intelligence or machine learning function configuration is carried in the radio resource control reconfiguration signaling.

[0157] Optionally, the artificial intelligence or machine learning function configuration includes: artificial intelligence or machine learning preference configuration, and / or, available function preference configuration.

[0158] Optionally, the first content includes at least one of an attempt conditional reconfiguration (attemptCondReconfig), an attempt layer 1 layer 2 triggered mobility switching (attemptLTM-Switch), an artificial intelligence or machine learning release indication, and an artificial intelligence or machine learning retention indication.

[0159] Optionally, attempting conditional reconfiguration is included in a conditional handover configuration and / or is configured via radio resource control reconfiguration.

[0160] Optionally, attempting a Layer 1 to Layer 2 triggered mobility handover is included in an LTM handover configuration and / or configured via a radio resource control reconfiguration.

[0161] Optionally, attempting conditional reconfiguration and / or attempting layer 1-2 triggered mobility handover is used in a radio resource control reestablishment process to determine whether to perform conditional handover or LTM handover.

[0162] Optionally, when the network device configuration attempts conditional reconfiguration and / or attempts layer 1-2 triggered mobility switching, and the cell selected by the terminal device is a conditional switching candidate cell or an LTM candidate cell, the terminal device performs conditional switching or LTM switching.

[0163] Optionally, the artificial intelligence or machine learning release indication is carried in at least one of radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1 to 2 triggered mobility configuration.

[0164] Optionally, the artificial intelligence or machine learning retention indication is carried in at least one of radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1 to layer 2 triggered mobility configuration.

[0165] Optionally, in response to receiving the switching command, the terminal device starts a first timer (eg, T304 timer).

[0166] Optionally, the handover command carries synchronization reconfiguration information through radio resource control reconfiguration, and the terminal device sets the T304 timer duration and / or starts the timer according to the synchronization reconfiguration information.

[0167] Optionally, after receiving the conditional switching configuration, the terminal device evaluates the conditional switching execution condition, and triggers the conditional switching and starts a second timer (eg, T304 timer) when the execution condition in the conditional switching configuration is met.

[0168] Optionally, the terminal device performs conditional switching and applies the synchronous reconfiguration information configured in the radio resource control reconfiguration of the target cell, and sets the T304 timer duration and / or starts the timer according to the synchronous reconfiguration information.

[0169] Optionally, the terminal device starts a third timer (eg, T304 timer) in response to receiving a layer 1-2 triggered mobility cell switching command.

[0170] Optionally, the terminal device applies the synchronization reconfiguration information configured in the candidate cell radio resource control reconfiguration according to the layer 1-2 triggered mobility cell switching command and sets the T304 timer duration and / or starts the timer according to the synchronization reconfiguration information.

[0171] Optionally, when at least one of the first timer, the second timer, and the third timer times out, the terminal device selects or determines the first content, and determines to release or retain the artificial intelligence or machine learning function configuration based on the first content.

[0172] Optionally, the T304 timer stops in at least one of the following scenarios:

[0173] Complete random access with the corresponding primary cell or primary and secondary cells;

[0174] Receive an indication from the lower layer that a RACH-Less handover has been successfully completed;

[0175] Receive an indication from the lower layer that the LTM random access-free cell handover is successfully completed.

[0176] Optionally, the T304 timer expiration includes at least one of the following scenarios:

[0177] Failure to complete random access with the corresponding primary cell or primary and secondary cells;

[0178] Failure to receive an indication from the lower layer that a RACH-Less handover has been successfully completed;

[0179] Failed to receive an indication from the lower layer that LTM-free random access cell handover was successfully completed.

[0180] Optionally, after the T304 timer expires, the terminal device restores the terminal device configuration in the source primary cell.

[0181] Through the technical solution of this embodiment, specifically by releasing the artificial intelligence or machine learning function configuration based on the first content, the processing mechanism of the artificial intelligence or machine learning function configuration available to the terminal device is improved, thereby supporting the improvement of the memory management efficiency of the terminal device, and / or supporting the improvement of the consistency of the function configuration of the terminal device and the network device.

[0182] Second embodiment

[0183] 6 , which is a schematic diagram of an interaction sequence according to a second embodiment, this embodiment discloses a method for a terminal device and a network device to interact with each other for artificial intelligence or machine learning function configuration.

[0184] Optionally, the network device sends a terminal device capability inquiry (UE Capability Enquiry) signaling to the terminal device.

[0185] Optionally, the terminal device capability query signaling is used to obtain capabilities (capabilities) and / or features (Features) supported by the terminal device.

[0186] Optionally, the terminal device sends terminal device capability information (UE Capability Information) signaling to the network device.

[0187] Optionally, the terminal device capability information carries at least one of the following:

[0188] Frequency bands supported by the terminal device;

[0189] Band combination supported by the terminal device;

[0190] Artificial intelligence or machine learning capabilities;

[0191] Features supported by the terminal device.

[0192] Optionally, the artificial intelligence or machine learning capabilities include supported functionality and / or supported models.

[0193] Optionally, the network device sends a radio resource control reconfiguration (RRCReconfiguration) signaling to the terminal device.

[0194] Optionally, the radio resource control reconfiguration signaling carries artificial intelligence or machine learning function configuration.

[0195] Optionally, the artificial intelligence or machine learning function configuration includes at least one of the following:

[0196] inference configuration;

[0197] Applicable functionality report configuration;

[0198] training configuration;

[0199] NW-side additional condition;

[0200] UE-side additional condition;

[0201] associated ID.

[0202] Optionally, artificial intelligence or machine learning function configuration is included in the other configuration information field.

[0203] Optionally, artificial intelligence or machine learning functionality is configured for beam management (BM) inference and / or training use.

[0204] Optionally, the association identifier is configured in the channel state information reporting configuration.

[0205] Optionally, the association identifier is used to associate additional conditions on the network device side.

[0206] Optionally, the available capabilities reporting configuration is not used for inference.

[0207] Optionally, the reasoning configuration is used for artificial intelligence or machine learning reasoning, including: set A (Set A) and / or set B (Set B).

[0208] Optionally, set A is used for inference output and / or inference results.

[0209] Optionally, set B is used for measurement and / or inference input.

[0210] Optionally, the training configuration is used for artificial intelligence or machine learning model training.

[0211] Optionally, at least one of the inference configuration, training configuration, additional conditions on the network device side, and additional conditions on the terminal device side includes: available function reporting configuration and / or channel state information (CSI) reporting configuration.

[0212] Optionally, the channel state information reporting configuration includes at least one of periodic, aperiodic, and semi-persistent.

[0213] Optionally, the artificial intelligence or machine learning functional configuration is represented by newly introduced information fields, including but not limited to: artificial intelligence or machine learning preference configuration (AI / MLPreferenceConfig), and / or, available functional preference configuration (ApplicableFunctionalityPreferenceConfig).

[0214] Optionally, the radio resource control reconfiguration signaling also carries an artificial intelligence or machine learning release indication or an artificial intelligence or machine learning retention indication.

[0215] Optionally, an artificial intelligence or machine learning release indication or an artificial intelligence or machine learning retention indication is used to determine whether to retain or release the artificial intelligence or machine learning function configuration when switching fails.

[0216] Optionally, the terminal device sends a radio resource control reconfiguration complete (RRCReconfigurationComplete) signaling.

[0217] Optionally, the radio resource control reconfiguration completion signaling carries available functions.

[0218] Optionally, the available functionality is artificial intelligence or machine learning configuration supported and / or available on the terminal device.

[0219] Optionally, available functions provide artificial intelligence or machine learning configuration for network devices, such as channel state information reporting configuration.

[0220] Optionally, the radio resource control reconfiguration completion signaling is used to report available functions.

[0221] Optionally, when the inference configuration and / or the training configuration includes periodic channel state information reporting, the corresponding periodic channel state information reporting is activated, and / or the corresponding periodic channel state information reporting is deemed to be activated.

[0222] Optionally, the activated periodic channel state information reporting includes at least one of an inference configuration, a training configuration, additional conditions on the network device side, and additional conditions on the terminal device side.

[0223] Optionally, the network device sends function activation or deactivation control information to the terminal device.

[0224] Optionally, the network device activates or deactivates channel state information reporting through downlink control information (DCI) and / or media access control control element (MAC CE).

[0225] Optionally, the channel state information reporting activated by the control element of the downlink control information and / or media access control includes at least one of the inference configuration, the training configuration, the additional conditions on the network device side, and the additional conditions on the terminal device side.

[0226] Optionally, the channel state information reporting includes aperiodic and / or semi-static reporting.

[0227] Optionally, channel state information reporting provides artificial intelligence or machine learning configuration for network devices.

[0228] Optionally, the function activation or deactivation control information is used to activate or deactivate the inference-configured channel state information reporting.

[0229] Optionally, the function activation or deactivation control information is used to activate or deactivate channel state information reporting of the training configuration.

[0230] Optionally, the terminal device sends terminal device assistance information (UAI, UE Assistance Information) signaling.

[0231] Optionally, the terminal device auxiliary information carries available functions of the terminal device and / or available functions with status updates.

[0232] Optionally, the status update includes: changing from available to unavailable (non applicable), and / or changing from unavailable to available.

[0233] Optionally, the available function provides the network device with channel state information reporting configuration, for example, the network device sends radio resource control reconfiguration signaling, and / or the network device sends function activation or deactivation control information.

[0234] Optionally, radio resource control reconfiguration signaling is used to update artificial intelligence or machine learning function configuration.

[0235] Optionally, the terminal device sends a radio resource control reconfiguration completion signaling.

[0236] Optionally, radio resource control reconfiguration completion signaling is used to respond to updating the artificial intelligence or machine learning function configuration.

[0237] Through the technical solution of this embodiment, specifically by carrying an artificial intelligence or machine learning release indication and / or an artificial intelligence or machine learning retention indication in the wireless resource control reconfiguration signaling, it is used to determine whether to retain or release the artificial intelligence or machine learning function configuration when the switching fails, thereby improving the processing mechanism of the artificial intelligence or machine learning function configuration available to the terminal device, thereby supporting the improvement of the memory management efficiency of the terminal device, and / or supporting the improvement of the consistency of the functional configuration of the terminal device and the network device.

[0238] Third embodiment

[0239] 7 , which is a flow chart of a processing method according to a third embodiment, based on any of the previous embodiments of the present application, this embodiment further discloses step S2, which includes at least one of steps S21 to S24:

[0240] S21: releasing the artificial intelligence or machine learning function configuration if the first content is not configured for the attempt condition reconfiguration;

[0241] S22: In the case where the first content is not configured to attempt layer 1 and layer 2 to trigger mobility handover, releasing the artificial intelligence or machine learning function configuration;

[0242] S23: When the first content configures an artificial intelligence or machine learning release instruction, release the artificial intelligence or machine learning function configuration;

[0243] S24: If the first content is not configured with an artificial intelligence or machine learning retention indication, release the artificial intelligence or machine learning function configuration.

[0244] Optionally, in response to receiving the switching command, the terminal device starts a first timer (eg, T304 timer).

[0245] Optionally, after receiving the conditional switching configuration, the terminal device evaluates the conditional switching execution condition, and triggers the conditional switching and starts a second timer (eg, T304 timer) when the execution condition in the conditional switching configuration is met.

[0246] Optionally, the terminal device starts a third timer (eg, T304 timer) in response to receiving a layer 1-2 triggered mobility cell switching command.

[0247] Optionally, the terminal device selects or determines the first content in response to satisfying the first condition.

[0248] Optionally, the first condition is satisfied, including at least one of the first timer, the second timer, and the third timer timing out;

[0249] Optionally, when at least one of the first timer, the second timer, and the third timer times out, the terminal device selects or determines the first content, and determines to release or retain the artificial intelligence or machine learning function configuration based on the first content.

[0250] Optionally, the first content includes at least one of an attempt conditional reconfiguration (attemptCondReconfig), an attempt layer 1 layer 2 triggered mobility switching (attemptLTM-Switch), an artificial intelligence or machine learning release indication, and an artificial intelligence or machine learning retention indication.

[0251] Optionally, the artificial intelligence or machine learning release indication is carried in at least one of radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1 to 2 triggered mobility configuration.

[0252] Optionally, the artificial intelligence or machine learning retention indication is carried in at least one of radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1 to layer 2 triggered mobility configuration.

[0253] Optionally, the artificial intelligence or machine learning release indication and / or the artificial intelligence or machine learning retention indication may also be carried in a layer 1 to 2 triggered mobility cell switching command.

[0254] Optionally, the terminal device retains or does not release the artificial intelligence or machine learning function configuration based on the first content.

[0255] Optionally, retaining or not releasing the artificial intelligence or machine learning function configuration based on the first content includes at least one of the following:

[0256] retaining or not releasing the artificial intelligence or machine learning function configuration in the event of a conditional reconfiguration attempt of the first content configuration;

[0257] In the case of a first content configuration attempt layer 1 and layer 2 triggering a mobility cell handover, retaining or not releasing the artificial intelligence or machine learning function configuration;

[0258] If the first content is not configured with an artificial intelligence or machine learning release instruction, retain or do not release the artificial intelligence or machine learning function configuration;

[0259] In case the first content configures an artificial intelligence or machine learning retention indication, retain or do not release the artificial intelligence or machine learning function configuration.

[0260] Optionally, after the switching fails, if the terminal device determines that the artificial intelligence or machine learning retention indication is not configured in the first content, the artificial intelligence or machine learning function configuration can be released; if the terminal device determines that the artificial intelligence or machine learning retention indication is configured in the first content, the artificial intelligence or machine learning function configuration can be retained or not released.

[0261] Optionally, after the switching fails, if the terminal device determines that the artificial intelligence or machine learning release indication is not configured in the first content, the artificial intelligence or machine learning function configuration may be retained or not released; if the terminal device determines that the artificial intelligence or machine learning release indication is configured in the first content, the artificial intelligence or machine learning function configuration may be released.

[0262] Optionally, after the conditional switching fails, if the terminal device determines that the attempt condition reconfiguration (attemptCondReconfig) is not configured in the first content, the artificial intelligence or machine learning function configuration can be released; if the terminal device determines that the attempt condition reconfiguration is configured in the first content, the artificial intelligence or machine learning function configuration can be retained or not released.

[0263] Optionally, after the LTM switch fails, if the terminal device determines that the attempt layer 1-2 triggered mobility switch (attemptLTM-Switch) is not configured in the first content, the artificial intelligence or machine learning function configuration can be released; if the terminal device determines that the attempt layer 1-2 triggered mobility switch is configured in the first content, the artificial intelligence or machine learning function configuration can be retained or not released.

[0264] Through the technical solution of this embodiment, specifically by releasing the artificial intelligence or machine learning function configuration based on the first content, and / or retaining or not releasing the artificial intelligence or machine learning function configuration based on the first content, the processing mechanism of the artificial intelligence or machine learning function configuration available to the terminal device is improved, thereby supporting the improvement of the memory management efficiency of the terminal device.

[0265] Fourth embodiment

[0266] Referring to Figure 8, Figure 8 is an interaction timing diagram shown according to the fourth embodiment. Based on any of the previous embodiments of the present application, this embodiment further discloses a processing method for the artificial intelligence or machine learning function configuration of a terminal device in a handover (HO, Hand Over) scenario.

[0267] Optionally, the network device sends radio resource control reconfiguration signaling.

[0268] Optionally, the radio resource control reconfiguration signaling carries synchronous reconfiguration (Reconfiguration with sync) information.

[0269] Optionally, the synchronization reconfiguration information includes at least one of T304, dynamic grant configure, and configure grant configure.

[0270] Optionally, the radio resource control reconfiguration signaling also carries an artificial intelligence or machine learning release indication.

[0271] Optionally, the radio resource control reconfiguration signaling also carries an artificial intelligence or machine learning retention indication.

[0272] Optionally, the terminal device starts timer T304.

[0273] Optionally, the timer duration is set to the T304 value carried in the synchronization reconfiguration.

[0274] Optionally, the terminal device starts a timer when receiving a switching command carrying a synchronization reconfiguration parameter.

[0275] Optionally, the terminal device sends a radio resource control reconfiguration completion signaling.

[0276] Optionally, the terminal device initiates a random access procedure or repeatedly initiates a random access procedure.

[0277] Optionally, the terminal device sends a radio resource control reconfiguration completion signaling according to the configuration schedule or repeatedly sends the radio resource control reconfiguration completion signaling.

[0278] Optionally, the terminal device sends a radio resource control reconfiguration completion signaling according to dynamic scheduling or repeatedly sends a radio resource control reconfiguration completion signaling.

[0279] Optionally, timer T304 times out, and the terminal device fails to complete the random access process during the running period of T304.

[0280] Optionally, the terminal device restores the radio resource control configuration in the source primary cell.

[0281] Optionally, the terminal device initiates radio resource control reconstruction.

[0282] Optionally, release the artificial intelligence or machine learning function configuration, for example: release the artificial intelligence or machine learning preference configuration, release the available function preference configuration.

[0283] Optionally, the artificial intelligence or machine learning function configuration is released without configuring attemptCondReconfig and attemptLTM-Switch.

[0284] Optionally, when an artificial intelligence or machine learning release indication has been configured, the artificial intelligence or machine learning function configuration is released.

[0285] Optionally, when an artificial intelligence or machine learning retention indication is configured, retain or do not release the artificial intelligence or machine learning function configuration.

[0286] Optionally, releasing the artificial intelligence or machine learning function configuration is to release the artificial intelligence or machine learning function configuration of the serving cell or the source main cell.

[0287] Optionally, releasing the artificial intelligence or machine learning function configuration is releasing the artificial intelligence or machine learning function configuration of the target cell.

[0288] Optionally, the attempt of conditional reconfiguration and the attempt of LTM switching may refer to protocol TS 38.331v18, 6.3.2.

[0289] Optionally, the terminal device performs cell selection.

[0290] Optionally, the cell selection includes at least one of a source base station (Source gNB) cell, a target base station (Target gNB) cell, and other base station cells (other gNB).

[0291] Optionally, the terminal device sends a radio resource control reestablishment request (RRCReestablishmentRequest) signaling.

[0292] Optionally, the terminal device sends a radio resource control reestablishment request to the source base station cell.

[0293] Optionally, the terminal device sends a radio resource control reestablishment request to the target base station cell.

[0294] Optionally, the terminal device sends a radio resource control reestablishment request to other base station cells.

[0295] Optionally, the terminal device may send a radio resource control re-establishment request by referring to protocol TS 38.331v18, 5.3.7.4.

[0296] Optionally, the network device sends a radio resource control reestablishment (RRCReestablishment) signaling.

[0297] Optionally, the network device may send a radio resource control reestablishment request with reference to protocol TS 38.331v18, 5.3.7.5.

[0298] Optionally, the terminal device sends a radio resource control re-establishment completion signaling.

[0299] Optionally, the terminal device may send radio resource control re-establishment completion signaling by referring to protocol TS 38.331v18, 5.3.7.5.

[0300] Through the technical solution of this embodiment, specifically by having the terminal device release the artificial intelligence or machine learning function configuration based on the first content in a switching scenario, and / or retaining or not releasing the artificial intelligence or machine learning function configuration based on the first content, the processing mechanism of the artificial intelligence or machine learning function configuration available to the terminal device is improved, thereby supporting the improvement of the memory management efficiency of the terminal device, and / or, the network device can flexibly configure the processing mechanism of the artificial intelligence or machine learning function configuration of the terminal device when the switching fails through the first content, thereby improving management efficiency.

[0301] Fifth embodiment

[0302] Referring to Figure 9, Figure 9 is an interaction timing diagram shown according to the fifth embodiment. On the basis of any of the previous embodiments of the present application, this embodiment further discloses a processing method for the artificial intelligence or machine learning function configuration of a terminal device in a conditional handover (CHO) scenario.

[0303] Optionally, the network device sends radio resource control reconfiguration signaling.

[0304] Optionally, the radio resource control reconfiguration signaling includes conditional handover configuration, for details, refer to protocol TS 38.331v18, 5.3.5.13.2, 5.3.5.13.3.

[0305] Optionally, conditional handover configuration may include attempting conditional reconfiguration.

[0306] Optionally, the radio resource control reconfiguration signaling also carries an artificial intelligence or machine learning release indication.

[0307] Optionally, the radio resource control reconfiguration signaling also carries an artificial intelligence or machine learning retention indication.

[0308] Optionally, the conditional switching configuration also includes artificial intelligence or machine learning release instructions.

[0309] Optionally, the conditional switching configuration also includes an artificial intelligence or machine learning retention indication.

[0310] Optionally, the terminal device sends a radio resource control reconfiguration completion signaling.

[0311] Optionally, the terminal device sends a radio resource control reconfiguration completion signaling in response to the conditional switching configuration of the network device. For details, please refer to protocol TS 38.331v18, 5.3.5.

[0312] Optionally, the terminal device evaluates the conditions for switching candidate cells.

[0313] Optionally, the terminal device performs candidate cell evaluation based on the conditional switching configuration. For details, please refer to protocol TS 38.331v18, 5.3.5.13.4.

[0314] Optionally, the terminal device detaches from the original cell and synchronizes with the new cell.

[0315] Optionally, when at least one conditional handover candidate cell satisfies a conditional execution condition, conditional handover is performed and / or timer T304 is started. For details, please refer to protocol TS 38.331v18, 5.3.5.13.5.

[0316] Optionally, the terminal device initiates a random access procedure or repeatedly initiates a random access procedure.

[0317] Optionally, the terminal device initiates a random access process or repeatedly initiates a random access process based on the conditional switching configuration.

[0318] Optionally, the terminal device schedules sending of wireless resource control reconfiguration completion signaling or repeatedly sends wireless resource control reconfiguration completion signaling according to the conditional switching configuration.

[0319] Optionally, the terminal device switches dynamically according to the conditions to send the wireless resource control reconfiguration completion signaling or repeatedly sends the wireless resource control reconfiguration completion signaling.

[0320] Optionally, timer T304 times out, and the terminal device fails to complete the random access process during the execution of T304.

[0321] Optionally, the terminal device restores the radio resource control configuration in the source primary cell.

[0322] Optionally, the terminal device initiates radio resource control reconstruction.

[0323] Optionally, release the artificial intelligence or machine learning function configuration, for example: release the artificial intelligence or machine learning preference configuration and / or release the available function preference configuration.

[0324] Optionally, the artificial intelligence or machine learning function configuration is released without configuring attemptCondReconfig and attemptLTM-Switch.

[0325] Optionally, when an artificial intelligence or machine learning release indication has been configured, the artificial intelligence or machine learning function configuration is released.

[0326] Optionally, when an artificial intelligence or machine learning retention indication is configured, retain or do not release the artificial intelligence or machine learning function configuration.

[0327] Optionally, releasing the artificial intelligence or machine learning function configuration is to release the artificial intelligence or machine learning function configuration of the serving cell or the source main cell.

[0328] Optionally, releasing the artificial intelligence or machine learning function configuration is releasing the artificial intelligence or machine learning function configuration of the target cell.

[0329] Optionally, the attempt of conditional reconfiguration and the attempt of LTM switching may refer to protocol TS 38.331v18, 6.3.2.

[0330] Optionally, the terminal device performs cell selection.

[0331] Optionally, after the terminal device selects a suitable cell, if the conditional reconfiguration condition has been configured and the selected cell is a conditional switching candidate cell, it performs conditional switching to the candidate cell and / or does not release the artificial intelligence or machine learning function configuration.

[0332] Optionally, the conditional handover includes: applying a stored conditional handover configuration associated with the selected cell and / or performing radio resource control reconfiguration. For details, please refer to protocol TS38.331v18, 5.3.7.3.

[0333] Optionally, the conditional handover candidate cell is a conditional handover configuration of a stored MCG variable parameter and / or radio resource control configuration.

[0334] Optionally, after the terminal device selects a suitable cell, if there is a configuration to attempt LTM switching conditions and the selected cell is an LTM candidate cell, it performs LTM cell switching to the candidate cell and / or does not release the artificial intelligence or machine learning function configuration.

[0335] Optionally, the LTM cell handover includes: executing an LTM cell handover process, for details, refer to protocol TS38.331v18, 5.3.7.3.

[0336] Optionally, the cell selection also includes: cell selection triggered by detection of radio link failure (RLF) or failure of LTM cell handover MCG synchronization reconfiguration triggered by the bottom layer.

[0337] Optionally, the LTM candidate cell is an LTM configuration configured by radio resource control.

[0338] Optionally, when the terminal device performs conditional switching or LTM cell switching, the wireless resource control reconstruction process is not executed.

[0339] Optionally, after the terminal device selects the last suitable cell, if the selected cell is not a conditional switching candidate cell and / or an LTM candidate cell, the artificial intelligence or machine learning function configuration is released under the configured conditional reconfiguration attempt or LTM switching attempt condition.

[0340] Optionally, the cell selection includes at least one of a source base station (Source gNB) cell, a target base station (Target gNB) cell, and other base station cells (other gNB).

[0341] Optionally, the terminal device sends a radio resource control reestablishment request (RRCReestablishmentRequest) signaling.

[0342] Optionally, the terminal device sends a radio resource control reestablishment request to the source base station cell.

[0343] Optionally, the terminal device sends a radio resource control reestablishment request to the target base station cell.

[0344] Optionally, the terminal device sends a radio resource control reestablishment request to other base station cells.

[0345] Optionally, the terminal device may send a radio resource control re-establishment request by referring to protocol TS 38.331v18, 5.3.7.4.

[0346] Optionally, the network device sends a radio resource control reestablishment (RRCReestablishment) signaling.

[0347] Optionally, the network device may send a radio resource control reestablishment request with reference to protocol TS 38.331v18, 5.3.7.5.

[0348] Optionally, the terminal device sends a radio resource control reconfiguration completion signaling.

[0349] Optionally, the terminal device may refer to protocol TS 38.331v18, 5.3.7.5 for sending radio resource control reestablishment.

[0350] Through the technical solution of this embodiment, specifically by having the terminal device release the artificial intelligence or machine learning function configuration based on the first content in a conditional switching scenario, and / or retaining or not releasing the artificial intelligence or machine learning function configuration based on the first content, the processing mechanism of the artificial intelligence or machine learning function configuration available to the terminal device is improved, thereby supporting the improvement of the memory management efficiency of the terminal device, and / or, the network device can flexibly configure the processing mechanism of the artificial intelligence or machine learning function configuration of the terminal device when the conditional switching fails through the first content, thereby improving management efficiency.

[0351] Sixth embodiment

[0352] Referring to Figure 10, Figure 10 is an interaction timing diagram shown according to the sixth embodiment. On the basis of any of the foregoing embodiments of the present application, this embodiment further discloses a processing method for the artificial intelligence or machine learning function configuration of a terminal device in an LTM (L1 / L2 Triggered Mobility) switching scenario.

[0353] Optionally, the network device sends radio resource control reconfiguration signaling.

[0354] Optionally, the radio resource control reconfiguration signaling includes LTM configuration, for details, refer to protocol TS 38.331v18, 5.3.5.18.1, 5.3.5.18.2, 5.3.5.18.3.

[0355] Optionally, the radio resource control reconfiguration signaling further includes conditional handover configuration, for details, refer to protocol TS 38.331v18, 5.3.5.13.2, 5.3.5.13.3.

[0356] Optionally, the radio resource control reconfiguration signaling also carries an artificial intelligence or machine learning release indication.

[0357] Optionally, the radio resource control reconfiguration signaling also carries an artificial intelligence or machine learning retention indication.

[0358] Optionally, the conditional switching configuration also includes artificial intelligence or machine learning release instructions.

[0359] Optionally, the conditional switching configuration also includes an artificial intelligence or machine learning retention indication.

[0360] Optionally, the LTM configuration includes artificial intelligence or machine learning function configuration of the candidate cell.

[0361] Optionally, the radio resource control reconfiguration signaling and / or LTM configuration also includes an artificial intelligence or machine learning release indication.

[0362] Optionally, the radio resource control reconfiguration signaling and / or LTM configuration also includes an artificial intelligence or machine learning retention indication.

[0363] Optionally, the terminal device sends a radio resource control reconfiguration completion signaling.

[0364] Optionally, the terminal device sends a radio resource control reconfiguration completion signaling in response to the LTM configuration of the network device. For details, please refer to protocol TS 38.331v18, 5.3.5.

[0365] Optionally, the terminal device also performs candidate cell evaluation based on the conditional switching configuration. For details, please refer to the aforementioned embodiment, which will not be described in detail in this embodiment.

[0366] Optionally, the terminal device performs early downlink synchronization / early uplink synchronization. For details, please refer to protocols TS 38.300v18, 9.2.3.5.2, TS38.212v18, 7.3.1.2.1, and TS38.213v18, 21.

[0367] Optionally, the terminal device sends a layer 1 measurement report, for details, please refer to protocol TS38.214v18, 5.2.1.

[0368] Optionally, the network device sends a layer 1-2 mobility cell handover command. For details, please refer to protocol TS38.321v18, 5.18.35, 6.1.3.75.

[0369] Optionally, the terminal device receives a layer 1 to layer 2 mobility cell switching command and executes an LTM cell switching procedure and / or starts a T304 timer.

[0370] Optionally, the LTM cell handover process includes executing a radio resource control reconfiguration process and / or synchronous reconfiguration.

[0371] Optionally, the terminal device sends a radio resource control reconfiguration completion signaling.

[0372] Optionally, the terminal device initiates a random access procedure or repeatedly initiates a random access procedure.

[0373] Optionally, the terminal device sends a random connection preamble according to the LTM cell switching command.

[0374] Optionally, the terminal device performs random access-free according to the LTM cell switching command.

[0375] Optionally, the terminal device initiates a random access procedure or repeatedly initiates a random access procedure according to the LTM configuration.

[0376] Optionally, the terminal device sends the radio resource control reconfiguration completion signaling or repeatedly sends the radio resource control reconfiguration completion signaling according to the LTM configuration schedule.

[0377] Optionally, the terminal device sends a radio resource control reconfiguration completion signaling or repeatedly sends a radio resource control reconfiguration completion signaling according to the LTM cell switching dynamic scheduling.

[0378] Optionally, the terminal device sends a radio resource control reconfiguration completion signaling or repeatedly sends a radio resource control reconfiguration completion signaling according to LTM cell switching configuration scheduling and / or dynamic scheduling.

[0379] Optionally, timer T304 times out, and the terminal device fails to complete the random access procedure and / or the random access-free procedure during the running period of T304.

[0380] Optionally, the terminal device restores the radio resource control configuration in the source primary cell.

[0381] Optionally, the terminal device initiates radio resource control reconstruction.

[0382] Optionally, release the artificial intelligence or machine learning function configuration, for example: release the artificial intelligence or machine learning preference configuration and / or release the available function preference configuration.

[0383] Optionally, the artificial intelligence or machine learning function configuration is released without configuring attemptCondReconfig and attemptLTM-Switch.

[0384] Optionally, when an artificial intelligence or machine learning release indication has been configured, the artificial intelligence or machine learning function configuration is released.

[0385] Optionally, when an artificial intelligence or machine learning retention indication is configured, retain or do not release the artificial intelligence or machine learning function configuration.

[0386] Optionally, releasing the artificial intelligence or machine learning function configuration is to release the artificial intelligence or machine learning function configuration of the serving cell or the source main cell.

[0387] Optionally, releasing the artificial intelligence or machine learning function configuration is releasing the artificial intelligence or machine learning function configuration of the target cell.

[0388] Optionally, the attempt of conditional reconfiguration and the attempt of LTM switching may refer to protocol TS 38.331v18, 6.3.2.

[0389] Optionally, the terminal device performs cell selection.

[0390] Optionally, after the terminal device selects a suitable cell, if the conditional reconfiguration condition has been configured and the selected cell is a conditional switching candidate cell, it performs conditional switching to the candidate cell and / or does not release the artificial intelligence or machine learning function configuration.

[0391] Optionally, the conditional handover includes: applying a stored conditional handover configuration associated with the selected cell and / or performing radio resource control reconfiguration. For details, please refer to protocol TS38.331v18, 5.3.7.3.

[0392] Optionally, the conditional handover candidate cell is a conditional handover configuration of a stored MCG variable parameter and / or radio resource control configuration.

[0393] Optionally, after the terminal device selects a suitable cell, if there is a configuration to attempt LTM switching conditions and the selected cell is an LTM candidate cell, it performs LTM cell switching to the candidate cell and / or does not release the artificial intelligence or machine learning function configuration.

[0394] Optionally, the LTM cell handover includes: executing an LTM cell handover process, for details, refer to protocol TS38.331v18, 5.3.7.3.

[0395] Optionally, the cell selection also includes: cell selection triggered by detection of radio link failure (RLF) or failure of LTM cell handover MCG synchronization reconfiguration triggered by the bottom layer.

[0396] Optionally, the LTM candidate cell is an LTM configuration configured by radio resource control.

[0397] Optionally, when the terminal device performs conditional switching or LTM cell switching, the wireless resource control reconstruction process is not executed.

[0398] Optionally, after the terminal device selects the last suitable cell, if the selected cell is not a conditional switching candidate cell and / or an LTM candidate cell, the artificial intelligence or machine learning function configuration is released under the configured conditional reconfiguration attempt or LTM switching attempt condition.

[0399] Optionally, the cell selection includes at least one of a source base station (Source gNB) cell, a target base station (Target gNB) cell, and other base station cells (other gNB).

[0400] Optionally, the terminal device sends a radio resource control reestablishment request (RRCReestablishmentRequest) signaling.

[0401] Optionally, the terminal device sends a radio resource control reestablishment request to the source base station cell.

[0402] Optionally, the terminal device sends a radio resource control reestablishment request to the target base station cell.

[0403] Optionally, the terminal device sends a radio resource control reestablishment request to other base station cells.

[0404] Optionally, the terminal device may send a radio resource control re-establishment request by referring to protocol TS 38.331v18, 5.3.7.4.

[0405] Optionally, the network device sends a radio resource control reestablishment (RRCReestablishment) signaling.

[0406] Optionally, the network device may send a radio resource control reestablishment request with reference to protocol TS 38.331v18, 5.3.7.5.

[0407] Optionally, the terminal device sends a radio resource control re-establishment completion signaling.

[0408] Optionally, the terminal device may send radio resource control re-establishment completion signaling by referring to protocol TS 38.331v18, 5.3.7.5.

[0409] Through the technical solution of this embodiment, specifically by having the terminal device release the artificial intelligence or machine learning function configuration based on the first content in the LTM switching scenario, and / or retaining or not releasing the artificial intelligence or machine learning function configuration based on the first content, the processing mechanism of the artificial intelligence or machine learning function configuration available to the terminal device is improved, thereby supporting the improvement of the memory management efficiency of the terminal device, and / or, the network device can flexibly configure the processing mechanism of the artificial intelligence or machine learning function configuration of the terminal device when the LTM cell switching fails through the first content, thereby improving management efficiency.

[0410] Seventh embodiment

[0411] 11 is a flow chart of a processing method according to a seventh embodiment. The method of this embodiment can be applied to a network device (such as a base station), and includes the following steps:

[0412] S1: Sending first content to a terminal device, so that the terminal device releases artificial intelligence or machine learning function configuration based on the first content.

[0413] Optionally, the network device sends the first content to the terminal device.

[0414] Optionally, the terminal device receives the first content sent by the network device and releases the artificial intelligence or machine learning function configuration based on the first content.

[0415] Optionally, after the terminal device fails to switch, it is determined based on the first content whether to release or retain the artificial intelligence or machine learning function configuration.

[0416] Optionally, after the terminal device fails to perform conditional switching and / or LTM cell switching, it determines whether to retain or release the artificial intelligence or machine learning function configuration based on whether the fast recovery condition is configured.

[0417] Optionally, the artificial intelligence or machine learning function configuration is carried in the radio resource control reconfiguration signaling.

[0418] Optionally, the artificial intelligence or machine learning function configuration includes: artificial intelligence or machine learning preference configuration, and / or, available function preference configuration.

[0419] Optionally, the first content includes at least one of an attempt conditional reconfiguration (attemptCondReconfig), an attempt layer 1 layer 2 triggered mobility switching (attemptLTM-Switch), an artificial intelligence or machine learning release indication, and an artificial intelligence or machine learning retention indication.

[0420] Optionally, the conditional reconfiguration attempt is carried in the conditional switching configuration.

[0421] Optionally, attempting a Layer 1-2 triggered mobility handover is carried in the LTM configuration.

[0422] Optionally, the artificial intelligence or machine learning release indication is carried in at least one of radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1 to 2 triggered mobility configuration.

[0423] Optionally, the artificial intelligence or machine learning retention indication is carried in at least one of radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1 to layer 2 triggered mobility configuration.

[0424] Optionally, the network device sends a switching command to the terminal device.

[0425] Optionally, in response to receiving the switching command, the terminal device starts a first timer (eg, T304 timer).

[0426] Optionally, the network device sends radio resource control reconfiguration signaling to the terminal device.

[0427] Optionally, the radio resource control reconfiguration signaling includes conditional handover configuration.

[0428] Optionally, after receiving the conditional switching configuration, the terminal device evaluates the conditional switching execution condition, and triggers the conditional switching and starts a second timer (eg, T304 timer) when the execution condition in the conditional switching configuration is met.

[0429] Optionally, the network device sends a layer 1-2 triggered mobility cell switching command to the terminal device.

[0430] Optionally, the terminal device starts a third timer (eg, T304 timer) in response to receiving a layer 1-2 triggered mobility cell switching command.

[0431] Optionally, when at least one of the first timer, the second timer, and the third timer times out, the terminal device selects or determines the first content, and determines to release or retain the artificial intelligence or machine learning function configuration based on the first content.

[0432] Optionally, after the switching fails, if the terminal device determines that the artificial intelligence or machine learning retention indication is not configured in the first content, the artificial intelligence or machine learning function configuration can be released; if the terminal device determines that the artificial intelligence or machine learning retention indication is configured in the first content, the artificial intelligence or machine learning function configuration can be retained or not released.

[0433] Optionally, after the switching fails, if the terminal device determines that the artificial intelligence or machine learning release indication is not configured in the first content, the artificial intelligence or machine learning function configuration may be retained or not released; if the terminal device determines that the artificial intelligence or machine learning release indication is configured in the first content, the artificial intelligence or machine learning function configuration may be released.

[0434] Optionally, after the conditional switching fails, if the terminal device determines that the attempt condition reconfiguration (attemptCondReconfig) or the attempt layer 1-2 triggered mobility switching is not configured in the first content, the artificial intelligence or machine learning function configuration can be released; if the terminal device determines that the attempt condition reconfiguration is configured in the first content, the artificial intelligence or machine learning function configuration can be retained or not released.

[0435] Optionally, after the conditional switching fails, if the terminal device determines that the attempt condition reconfiguration (attemptCondReconfig) and the attempt layer 1-2 triggered mobility switching are not configured in the first content, the artificial intelligence or machine learning function configuration can be released; if the terminal device determines that the attempt condition reconfiguration is configured in the first content, the artificial intelligence or machine learning function configuration can be retained or not released.

[0436] Optionally, after the LTM cell switching fails, if the terminal device determines that the attempt layer 1 layer 2 triggered mobility switching (attemptLTM-Switch) or the attempt condition reconfiguration is not configured in the first content, the artificial intelligence or machine learning function configuration can be released; if the terminal device determines that the attempt layer 1 layer 2 triggered mobility switching is configured in the first content, the artificial intelligence or machine learning function configuration can be retained or not released.

[0437] Optionally, after the LTM cell switching fails, if the terminal device determines that the attempt layer 1 layer 2 triggered mobility switching (attemptLTM-Switch) and the attempt condition reconfiguration are not configured in the first content, the artificial intelligence or machine learning function configuration can be released; if the terminal device determines that the attempt layer 1 layer 2 triggered mobility switching is configured in the first content, the artificial intelligence or machine learning function configuration can be retained or not released.

[0438] Through the technical solution of this embodiment, the first content is specifically sent to the terminal device through the network device, so that the terminal device releases the artificial intelligence or machine learning function configuration based on the first content, thereby improving the processing mechanism of the artificial intelligence or machine learning function configuration available to the terminal device during the wireless resource control reconstruction process, thereby supporting the improvement of the memory management efficiency of the terminal device, and / or supporting the improvement of the consistency of the artificial intelligence or machine learning function configuration available to the network device and the terminal device.

[0439] Eighth embodiment

[0440] 12 , which is a schematic diagram of the structure of a processing device according to an embodiment of the present application. The device may be mounted on or be the terminal device in the above method embodiment. The processing device shown in FIG12 may be used to perform some or all of the functions of the method embodiment described in the above embodiment. As shown in FIG12 , the processing device 1100 includes:

[0441] The processing module 1101 is used to release the artificial intelligence or machine learning function configuration based on the first content.

[0442] Optionally, the first content includes at least one of the following:

[0443] Try condition rematching;

[0444] Try layer 1-2 triggered mobility handover;

[0445] Artificial intelligence or machine learning release instructions;

[0446] Artificial intelligence or machine learning retention indication.

[0447] Optionally, releasing an artificial intelligence or machine learning function configuration based on the first content includes at least one of the following:

[0448] Release the artificial intelligence or machine learning function configuration if the first content is not configured to attempt conditional reconfiguration;

[0449] In the case where the first content is not configured to attempt layer 1 and layer 2 to trigger mobility handover, the artificial intelligence or machine learning function configuration is released;

[0450] In case the first content configures an artificial intelligence or machine learning release indication, releasing the artificial intelligence or machine learning function configuration;

[0451] In a case where the first content is not configured with an artificial intelligence or machine learning retention indication, the artificial intelligence or machine learning function configuration is released.

[0452] Optionally, the device further comprises at least one of the following:

[0453] In response to receiving the switching command, starting a first timer;

[0454] When the execution condition in the conditional switching configuration is met, triggering the conditional switching and starting the second timer;

[0455] In response to receiving a layer 1-2 triggered mobility cell handover command, a third timer is started.

[0456] Optionally, the device further comprises at least one of the following:

[0457] In response to satisfying a first condition, selecting or determining a first content;

[0458] retaining the artificial intelligence or machine learning function configuration based on the first content;

[0459] Start the radio resource control reestablishment process.

[0460] Optionally, the device further comprises at least one of the following:

[0461] The first condition is met, including at least one of the first timer, the second timer, and the third timer timing out;

[0462] The artificial intelligence or machine learning function configuration belongs to at least one of the serving cell, the source primary cell, and the target cell;

[0463] The artificial intelligence or machine learning function configuration is carried in the radio resource control reconfiguration signaling;

[0464] The artificial intelligence or machine learning release indication is carried in at least one of radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1-2 triggered mobility configuration;

[0465] The artificial intelligence or machine learning retention indication is carried in at least one of radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1-2 triggered mobility configuration;

[0466] Artificial intelligence or machine learning function configuration includes: artificial intelligence or machine learning preference configuration, and / or, available function preference configuration.

[0467] Optionally, retaining an artificial intelligence or machine learning function configuration based on the first content includes at least one of the following:

[0468] retaining the artificial intelligence or machine learning functionality configuration in the event of a first content configuration attempt conditional reconfiguration;

[0469] In the case of a first content configuration attempt where layer one and layer two trigger mobility cell handover, retaining the artificial intelligence or machine learning function configuration;

[0470] In the event that the first content is not configured with an artificial intelligence or machine learning release instruction, retaining the artificial intelligence or machine learning function configuration;

[0471] In case the first content configures artificial intelligence or machine learning retention indication, the artificial intelligence or machine learning function configuration is retained.

[0472] The processing device provided in the embodiment of the present application has similar implementation principles and beneficial effects to the technical solutions shown in the above-mentioned corresponding method embodiments, and will not be described in detail here.

[0473] Ninth embodiment

[0474] Referring to FIG. 13 , FIG. 13 is a second structural diagram of a processing device provided in an embodiment of the present application. The device may be mounted on or be the network device in the above-mentioned method embodiment. The processing device shown in FIG. 13 may be used to perform some or all of the functions in the method embodiment described in the above-mentioned embodiment. As shown in FIG. 13 , the processing device 1200 includes:

[0475] The sending module 1201 is used to send the first content to the terminal device so that the terminal device can release the artificial intelligence or machine learning function configuration based on the first content.

[0476] Optionally, the first content includes at least one of the following:

[0477] Try condition rematching;

[0478] Try layer 1-2 triggered mobility handover;

[0479] Artificial intelligence or machine learning release instructions;

[0480] Artificial intelligence or machine learning retention indication.

[0481] Optionally, the terminal device releases an artificial intelligence or machine learning function configuration based on the first content, including at least one of the following:

[0482] In the case where the first content is not configured to attempt condition reconfiguration, the terminal device releases the artificial intelligence or machine learning function configuration;

[0483] In the case where the first content is not configured to attempt layer 1 and layer 2 to trigger mobility switching, the terminal device releases the artificial intelligence or machine learning function configuration;

[0484] When the first content configures an artificial intelligence or machine learning release indication, the terminal device releases the artificial intelligence or machine learning function configuration;

[0485] In the case that the first content is not configured with an artificial intelligence or machine learning retention indication, the terminal device releases the artificial intelligence or machine learning function configuration.

[0486] Optionally, the device further comprises at least one of the following:

[0487] In response to receiving the switching command, the terminal device starts a first timer;

[0488] When the execution condition in the conditional switching configuration is met, the terminal device triggers the conditional switching and starts the second timer;

[0489] In response to receiving the layer 1-2 triggered mobility cell handover command, the terminal device starts a third timer.

[0490] Optionally, the device further comprises at least one of the following:

[0491] In response to the first condition being met, the terminal device selects or determines the first content;

[0492] The terminal device retains the artificial intelligence or machine learning function configuration based on the first content;

[0493] The terminal device starts the radio resource control reestablishment process.

[0494] Optionally, the device further comprises at least one of the following:

[0495] The first condition is met, including at least one of the first timer, the second timer, and the third timer timing out;

[0496] The artificial intelligence or machine learning function configuration belongs to at least one of the serving cell, the source primary cell, and the target cell;

[0497] The artificial intelligence or machine learning function configuration is carried in the radio resource control reconfiguration signaling;

[0498] The artificial intelligence or machine learning release indication is carried in at least one of radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1-2 triggered mobility configuration;

[0499] The artificial intelligence or machine learning retention indication is carried in at least one of radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1-2 triggered mobility configuration;

[0500] Artificial intelligence or machine learning function configuration includes: artificial intelligence or machine learning preference configuration, and / or, available function preference configuration.

[0501] Optionally, retaining an artificial intelligence or machine learning function configuration based on the first content includes at least one of the following:

[0502] In the event that the first content configuration attempt condition is reconfigured, the terminal device retains the artificial intelligence or machine learning function configuration;

[0503] In the case where the first content configuration attempts layer 1 and layer 2 triggers mobility cell switching, the terminal device retains the artificial intelligence or machine learning function configuration;

[0504] In the case where the first content is not configured with an artificial intelligence or machine learning release indication, the terminal device retains the artificial intelligence or machine learning function configuration;

[0505] In the case where the first content configures an artificial intelligence or machine learning retention indication, the terminal device retains the artificial intelligence or machine learning function configuration.

[0506] The processing device provided in the embodiment of the present application has similar implementation principles and beneficial effects to the technical solutions shown in the above-mentioned corresponding method embodiments, and will not be described in detail here.

[0507] Refer to Figure 14, which is a schematic diagram of the structure of a communication device provided in an embodiment of the present application. As shown in Figure 14, the communication device 160 described in this embodiment can be the terminal device (or component that can be used for a terminal device) or network device (or component that can be used for a network device) mentioned in the aforementioned method embodiment. Communication device 160 can be used to implement the methods corresponding to the terminal device or network device described in the aforementioned method embodiment. For details, please refer to the description of the aforementioned method embodiment.

[0508] The communication device 160 may include one or more processors 161, also referred to as processing units, which may perform certain control or processing functions. Processor 161 may be a general-purpose processor or a dedicated processor. For example, it may be a baseband processor or a central processing unit. The baseband processor may be used to process communication protocols and communication data, while the central processing unit may be used to control the communication device, execute software programs, and process software program data.

[0509] Optionally, the processor 161 may also store instructions 163 or data (eg, intermediate data). Optionally, the instructions 163 may be executed by the processor 161 to enable the communication device 160 to execute the method corresponding to the terminal device or network device described in the above method embodiment.

[0510] Optionally, the communication device 160 may include a circuit that can implement the functions of sending, receiving, or communicating in the aforementioned method embodiments.

[0511] Optionally, the communication device 160 may include one or more memories 162 , on which instructions 164 may be stored. The instructions may be executed on the processor 161 , so that the communication device 160 performs the method described in the above method embodiment.

[0512] Optionally, data may also be stored in the memory 162. The processor 161 and the memory 162 may be provided separately or integrated together.

[0513] Optionally, the communication device 160 may further include a transceiver 165 and / or an antenna 166. The processor 161 may be referred to as a processing unit, and controls the communication device 160 (terminal device, core network device, or wireless access network device). The transceiver 165 may be referred to as a transceiver unit, transceiver, transceiver circuit, or transceiver, and is used to implement the transceiver functions of the communication device 160.

[0514] Optionally, if the communication device 160 is used to implement operations corresponding to the terminal device in the above embodiments, for example, the transceiver 165 and / or the processor 161 can release the artificial intelligence or machine learning function configuration based on the first content.

[0515] Optionally, the specific implementation process of the processor 161 and the transceiver 165 can refer to the relevant description of the above embodiments, which will not be repeated here.

[0516] Optionally, if the communication device 160 is used to implement operations corresponding to the network devices in the above embodiments, for example: the transceiver 165 can send the first content to the terminal device so that the terminal device can release the artificial intelligence or machine learning function configuration based on the first content.

[0517] Optionally, the specific implementation process of the processor 161 and the transceiver 165 can refer to the relevant description of the above embodiments, which will not be repeated here.

[0518] The processor 161 and transceiver 165 described in this application can be implemented on an IC (Integrated Circuit), an analog integrated circuit, an RFIC (Radio Frequency Integrated Circuit), a mixed-signal integrated circuit, an ASIC (Application Specific Integrated Circuit), a PCB (Printed Circuit Board), an electronic device, etc. The processor 161 and transceiver 165 can also be manufactured using various integrated circuit process technologies, such as CMOS (Complementary Metal Oxide Semiconductor), NMOS (N Metal-Oxide-Semiconductor), PMOS (Positive Channel Metal Oxide Semiconductor), BJT (Bipolar Junction Transistor), bipolar CMOS (BiCMOS), silicon germanium (SiGe), gallium arsenide (GaAs), etc. In this application, a communication device can be a terminal device (such as a mobile phone) or a network device (such as a base station), which needs to be determined according to the context. In addition, the terminal device can be implemented in various forms. For example, the terminal devices described in this application may include mobile terminals such as mobile phones, tablet computers, laptop computers, PDAs, portable media players (PMPs), navigation devices, wearable devices, smart bracelets, pedometers, etc., as well as fixed terminal devices such as digital TVs and desktop computers.

[0519] Although the communication device is described above by taking a terminal device or a network device as an example, the scope of the communication device described in this application is not limited to the above-mentioned terminal device or network device, and the structure of the communication device may not be limited to Figure 14. The communication device may be an independent device or may be part of a larger device.

[0520] An embodiment of the present application further provides a communication system, including: a terminal device as in any of the above embodiments; and a network device as in any of the above embodiments.

[0521] An embodiment of the present application also provides a communication device, including a memory and a processor, wherein a processing program is stored in the memory, and when the processing program is executed by the processor, the steps of the processing method in any of the above embodiments are implemented.

[0522] The communication device in this application can be a terminal device (such as a mobile phone) or a network device (such as a base station). The specific reference needs to be clarified based on the context.

[0523] An embodiment of the present application further provides a computer-readable storage medium, on which a processing program is stored. When the processing program is executed by a processor, the steps of the processing method in any of the above embodiments are implemented.

[0524] In the embodiments of the communication device and computer-readable storage medium provided in the embodiments of the present application, all technical features of any of the above-mentioned processing method embodiments may be included. The expanded and explained contents of the specification are basically the same as those of the embodiments of the above-mentioned methods and will not be repeated here.

[0525] The present application also provides a computer program product, which includes computer program code. When the computer program code is executed on a computer, the computer executes the methods described in the various possible embodiments. The present application also provides a chip, which includes a memory and a processor. The memory is used to store the computer program, and the processor is used to call and execute the computer program from the memory, so that a device equipped with the chip executes the methods described in the various possible embodiments.

[0526] It is understood that the above scenarios are merely examples and do not constitute a limitation on the application scenarios of the technical solutions provided in the embodiments of this application. The technical solutions of this application can also be applied to other scenarios. For example, it is known to those skilled in the art that with the evolution of system architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of this application are equally applicable to similar technical problems. The serial numbers of the above embodiments of this application are for descriptive purposes only and do not represent the advantages or disadvantages of the embodiments. The steps in the methods of the embodiments of this application can be adjusted in order, combined, and deleted according to actual needs. The units in the devices of the embodiments of this application can be combined, divided, and deleted according to actual needs. In this application, for the same or similar terms, concepts, technical solutions, and / or application scenario descriptions, they are generally only described in detail the first time they appear. When they appear again, they are generally not repeated for the sake of brevity. When understanding the technical solutions of this application, for the same or similar terms, concepts, technical solutions, and / or application scenario descriptions that are not described in detail later, reference can be made to the relevant detailed descriptions that precede them. In this application, the descriptions of each embodiment have their own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments. The various technical features of the technical solution of this application can be combined arbitrarily. In order to make the description concise, not all possible combinations of the various technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0527] Through the description of the above embodiments, it will be clear to those skilled in the art that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, or of course by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present application is essentially or partly contributed to the prior art and can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as above, including several instructions for enabling a terminal device (which can be a mobile phone, computer, server, controlled terminal device, or network device, etc.) to execute the method of each embodiment of the present application. In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can 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. When the computer program instructions are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a storage medium or transmitted from one storage medium to another storage medium. For example, computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via wired (e.g., coaxial cable, optical fiber, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a storage disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state disk (SSD)). The above are only preferred embodiments of the present application and do not limit the scope of the patent of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the scope of patent protection of the present application.

Claims

1. A processing method, wherein: Applied to terminal equipment, including the steps of: S2: Release artificial intelligence or machine learning function configuration based on the first content.

2. The method of claim 1, wherein: The first content includes at least one of the following: Try conditional reassignment; Try layer 1-2 to trigger mobility handover; Artificial intelligence or machine learning release instructions; Artificial intelligence or machine learning retention indication.

3. The method of claim 2, wherein: Step S2 includes at least one of the following: In the case where the first content is not configured to attempt conditional reconfiguration, releasing the artificial intelligence or machine learning function configuration; In the case where the first content is not configured to attempt layer 1 and layer 2 to trigger mobility switching, release the artificial intelligence or machine learning function configuration; In case the first content configures an artificial intelligence or machine learning release indication, releasing the artificial intelligence or machine learning function configuration; In a case where the first content is not configured with an artificial intelligence or machine learning retention indication, the artificial intelligence or machine learning function configuration is released.

4. The method of claim 2, wherein: Also includes at least one of the following: In response to receiving the switching command, starting a first timer; When the execution condition in the conditional switching configuration is met, triggering the conditional switching and starting the second timer; In response to receiving a layer 1-2 triggered mobility cell handover command, starting a third timer.

5. The method of claim 1, wherein: Also includes at least one of the following: In response to satisfying the first condition, selecting or determining the first content; retaining artificial intelligence or machine learning function configuration based on the first content; Start the radio resource control reestablishment process.

6. The method of claim 5, wherein: Also includes at least one of the following: The first condition is met, including at least one of the first timer, the second timer and the third timer timing out; The artificial intelligence or machine learning function configuration belongs to at least one of the serving cell, the source primary cell, and the target cell; The artificial intelligence or machine learning function configuration is carried in the radio resource control reconfiguration signaling; The artificial intelligence or machine learning release indication is carried in at least one of a radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1-2 triggered mobility configuration; The artificial intelligence or machine learning retention indication is carried in at least one of a radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1 to 2 triggered mobility configuration; Artificial intelligence or machine learning function configuration includes: artificial intelligence or machine learning preference configuration, and / or, available function preference configuration.

7. The method of claim 5, wherein: Preserving artificial intelligence or machine learning function configuration based on the first content, including at least one of the following: In the case of a first content configuration attempt conditional reconfiguration, retaining the artificial intelligence or machine learning function configuration; In the case where the first content configuration attempts layer 1 and layer 2 triggers mobility cell switching, retaining the artificial intelligence or machine learning function configuration; In the case where the first content is not configured with an artificial intelligence or machine learning release indication, retaining the artificial intelligence or machine learning function configuration; In case the first content configures an artificial intelligence or machine learning retention indication, the artificial intelligence or machine learning function configuration is retained.

8. A method of treatment, wherein: Applied to network equipment, including the steps of: S1: Sending first content to a terminal device, so that the terminal device releases artificial intelligence or machine learning function configuration based on the first content.

9. The method of claim 8, wherein: The first content includes at least one of the following: Try conditional reassignment; Try layer 1-2 to trigger mobility handover; Artificial intelligence or machine learning release instructions; Artificial intelligence or machine learning retention indication.

10. The method of claim 9, wherein: The terminal device releases an artificial intelligence or machine learning function configuration based on the first content, including at least one of the following: In the case where the first content is not configured to attempt condition reconfiguration, the terminal device releases the artificial intelligence or machine learning function configuration; In the case where the first content is not configured to attempt layer 1 and layer 2 to trigger mobility switching, the terminal device releases the artificial intelligence or machine learning function configuration; In case the first content configures an artificial intelligence or machine learning release indication, the terminal device releases the artificial intelligence or machine learning function configuration; In the case where the first content is not configured with an artificial intelligence or machine learning retention indication, the terminal device releases the artificial intelligence or machine learning function configuration.

11. The method of claim 9, wherein: Also includes at least one of the following: In response to receiving the switching command, the terminal device starts a first timer; When the execution condition in the conditional switching configuration is met, the terminal device triggers the conditional switching and starts the second timer; In response to receiving a layer 1-2 triggered mobility cell switching command, the terminal device starts a third timer.

12. The method of claim 8, wherein: Also includes at least one of the following: In response to satisfying the first condition, the terminal device selects or determines the first content; The terminal device retains the artificial intelligence or machine learning function configuration based on the first content; The terminal device starts the radio resource control reestablishment process.

13. The method of claim 12, wherein: Also includes at least one of the following: The first condition is met, including at least one of the first timer, the second timer and the third timer timing out; The artificial intelligence or machine learning function configuration belongs to at least one of the serving cell, the source primary cell, and the target cell; The artificial intelligence or machine learning function configuration is carried in the radio resource control reconfiguration signaling; The artificial intelligence or machine learning release indication is carried in at least one of a radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1-2 triggered mobility configuration; The artificial intelligence or machine learning retention indication is carried in at least one of a radio resource control reconfiguration signaling, a handover command, a conditional handover configuration, and a layer 1 to 2 triggered mobility configuration; Artificial intelligence or machine learning function configuration includes: artificial intelligence or machine learning preference configuration, and / or, available function preference configuration.

14. The method of claim 12, wherein: Preserving artificial intelligence or machine learning function configuration based on the first content, including at least one of the following: In the case where the first content configuration attempt condition is reconfigured, the terminal device retains the artificial intelligence or machine learning function configuration; In the case where the first content configuration attempts layer 1 and layer 2 triggers mobility cell switching, the terminal device retains the artificial intelligence or machine learning function configuration; In the case where the first content is not configured with an artificial intelligence or machine learning release indication, the terminal device retains the artificial intelligence or machine learning function configuration; In case the first content configures the artificial intelligence or machine learning retention indication, the terminal device retains the artificial intelligence or machine learning function configuration.

15. A communication device, wherein: include: A memory, a processor, and a processing program stored in the memory and executable on the processor, wherein the processing program is executed by the processor to implement the steps of the processing method according to claim 1 or 8.

16. A computer-readable storage medium, wherein: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the processing method according to claim 1 or 8.

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