Communication method and device, communication equipment, communication system and storage medium

Abstract

The invention provides a communication method, apparatus and device, and a storage medium. The method comprises the following steps: a network device determines at least one of the following items: an identifier corresponding to at least one artificial intelligence (AI) function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter; wherein different AI functions correspond to different identifiers; parameters corresponding to different AI functions are different, and / or parameter values of the same parameter corresponding to different AI functions are different; one or more AI functions correspond to the same AI characteristic, and the parameters corresponding to the AI functions are used for realizing the AI characteristics corresponding to the AI functions. The method disclosed by the invention is used for carrying out function identification on the AI function, so that the convenience of AI function management is improved.

Description

Communication method and device, communication equipment, communication system, and storage medium Technical Field

[0001] The present disclosure relates to the field of communication technologies, and in particular to communication methods and devices, communication equipment, communication systems, and storage media. Background Art

[0002] With the continuous development of artificial intelligence (AI) technology, its application areas are becoming more and more extensive. Among them, the 3rd Generation Partnership Project (3GPP) has also introduced AI technology.

[0003] Summary of the Invention

[0004] The present disclosure provides a communication method and apparatus, a communication device, a communication system, and a storage medium.

[0005] According to a first aspect of an embodiment of the present disclosure, a communication method is proposed, including:

[0006] The network device determines at least one of the following: an identifier corresponding to at least one artificial intelligence (AI) functionality, at least one parameter corresponding to each AI functionality, and a parameter value of the at least one parameter;

[0007] Among them, different AI functions correspond to different identifiers;

[0008] Different AI functions correspond to different parameters, and / or different AI functions correspond to different values ​​of the same parameter;

[0009] One or more AI functions correspond to the same AI feature, and parameters corresponding to the AI ​​functions are used to implement the AI ​​features corresponding to the AI ​​functions.

[0010] According to a second aspect of an embodiment of the present disclosure, a communication method is proposed, including:

[0011] The terminal determines at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter;

[0012] Among them, different AI functions correspond to different identifiers;

[0013] Different AI functions correspond to different parameters, and / or different AI functions correspond to different values ​​of the same parameter;

[0014] One or more AI functions correspond to the same AI feature, and parameters corresponding to the AI ​​functions are used to implement the AI ​​feature corresponding to the AI ​​functions.

[0015] According to a third aspect of an embodiment of the present disclosure, a communication method is provided for use in a communication system, the communication system including a terminal and a network device, the method including at least one of the following:

[0016] The network device determines at least one of the following: an identifier corresponding to at least one artificial intelligence (AI) function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter; wherein different AI functions have different identifiers; different AI functions have different parameters; and / or different AI functions have different parameter values ​​for the same parameter; and one or more AI functions have the same AI feature, and the parameters corresponding to the AI ​​functions are used to implement the AI ​​feature corresponding to the AI ​​functions;

[0017] The terminal determines at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter;

[0018] The terminal reports a first identifier to the network device terminal, where the first identifier is an identifier corresponding to the AI ​​function supported by the terminal;

[0019] The network device receives a first identifier;

[0020] The network device sends fourth information to the terminal, where the fourth information is used to manage the AI ​​function;

[0021] The terminal receives fourth information sent by the network device;

[0022] The terminal manages the AI ​​function based on the fourth information.

[0023] According to a fourth aspect of an embodiment of the present disclosure, a network device is provided, including:

[0024] a processing module, configured to determine at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter;

[0025] Among them, different AI functions correspond to different identifiers;

[0026] Different AI functions correspond to different parameters, and / or different AI functions correspond to different values ​​of the same parameter;

[0027] One or more AI functions correspond to the same AI feature, and parameters corresponding to the AI ​​functions are used to implement the AI ​​feature corresponding to the AI ​​functions.

[0028] According to a fifth aspect of an embodiment of the present disclosure, a terminal is provided, including:

[0029] a processing module, configured to determine at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter;

[0030] Among them, different AI functions correspond to different identifiers;

[0031] Different AI functions correspond to different parameters, and / or different AI functions correspond to different values ​​of the same parameter;

[0032] One or more AI functions correspond to the same AI feature, and parameters corresponding to the AI ​​functions are used to implement the AI ​​feature corresponding to the AI ​​functions.

[0033] According to a sixth aspect of an embodiment of the present disclosure, a communication device is provided, including:

[0034] one or more processors;

[0035] The processor is used to call instructions to enable the communication device to execute the communication method described in any one of the first aspect and the second aspect.

[0036] According to the seventh aspect of an embodiment of the present disclosure, a communication system is proposed, characterized in that it includes a terminal and a network device, wherein the terminal is configured to implement the communication method described in the first aspect, and the network device is configured to implement the communication method described in the second aspect.

[0037] According to an eighth aspect of an embodiment of the present disclosure, a storage medium is proposed, which stores instructions, and is characterized in that when the instructions are executed on a communication device, the communication device executes the communication method as described in any one of the first and second aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The above and / or additional aspects and advantages of the present disclosure will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0039] FIG1 is a schematic diagram of the architecture of some communication systems provided by embodiments of the present disclosure;

[0040] 2A-2D are interactive diagrams of a communication method provided by an embodiment of the present disclosure;

[0041] 3A-3E are flowcharts of a communication method provided in yet another embodiment of the present disclosure;

[0042] 4A-4E are flowcharts of a communication method provided in yet another embodiment of the present disclosure;

[0043] FIG5 is a flow chart of a communication method provided in yet another embodiment of the present disclosure;

[0044] FIG6A is a schematic structural diagram of a terminal provided by an embodiment of the present disclosure;

[0045] FIG6B is a schematic diagram of the structure of a network device provided by an embodiment of the present disclosure;

[0046] FIG7A is a schematic structural diagram of a communication device provided by an embodiment of the present disclosure;

[0047] FIG7B is a schematic structural diagram of a chip provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0048] The embodiments of the present disclosure provide a communication method and apparatus, a communication device, a communication system, and a storage medium.

[0049] In a first aspect, an embodiment of the present disclosure provides a communication method, which is executed by a terminal. The method includes:

[0050] The network device determines at least one of the following: an identifier corresponding to at least one artificial intelligence (AI) functionality, at least one parameter corresponding to each AI functionality, and a parameter value of the at least one parameter;

[0051] Among them, different AI functions correspond to different identifiers;

[0052] Different AI functions correspond to different parameters, and / or different AI functions correspond to different values ​​of the same parameter;

[0053] One or more AI functions correspond to the same AI feature, and parameters corresponding to the AI ​​functions are used to implement the AI ​​features corresponding to the AI ​​functions.

[0054] In the above embodiment, a method is provided for a network device to determine an identifier corresponding to an AI function, which is used to successfully perform functionality identification on the AI ​​function. Subsequently, the network device can successfully manage the AI ​​function based on the identifier corresponding to the AI ​​function, thereby improving the convenience of AI function management.

[0055] In conjunction with some embodiments of the first aspect, in some embodiments, determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0056] At least one of the following is determined based on the protocol agreement: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0057] In conjunction with some embodiments of the first aspect, in some embodiments, determining at least one of the following based on the protocol agreement: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0058] An identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter are determined based on a protocol agreement.

[0059] In conjunction with some embodiments of the first aspect, in some embodiments, determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0060] Determine at least one parameter corresponding to each AI function based on the protocol agreement;

[0061] receiving first information reported by a terminal, where the first information includes: a parameter value of at least one parameter supported by the terminal;

[0062] An identifier corresponding to at least one AI function is determined based on the at least one parameter and a parameter value of the at least one parameter.

[0063] In conjunction with some embodiments of the first aspect, in some embodiments, determining an identifier corresponding to at least one AI function based on the at least one parameter and the parameter value of the at least one parameter includes:

[0064] determining at least one AI function based on the at least one parameter and a parameter value of the at least one parameter, wherein different AI functions correspond to different parameters and / or different AI functions correspond to different parameter values ​​of the same parameter;

[0065] Assign corresponding identifiers to different AI functions.

[0066] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0067] Indicate to the terminal an identifier corresponding to the at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0068] In the above embodiment, after the network device determines the identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and the parameter value of at least one parameter, it will indicate the identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and the parameter value of at least one parameter to the terminal, so that the terminal can know which AI functions specifically correspond to which identifiers, which parameters, and which parameter values, thereby unifying the understanding of the AI ​​function by the terminal and the network device. When the network device subsequently uses the identifier to manage the AI ​​function, the terminal can accurately respond to the network device's management of the AI ​​function based on the identifier, thereby ensuring the successful management of the AI ​​function.

[0069] In conjunction with some embodiments of the first aspect, in some embodiments, determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0070] receiving second information reported by the terminal, where the second information includes: at least one parameter corresponding to each AI function supported by the terminal and a parameter value of the at least one parameter;

[0071] An identifier is assigned to each AI function supported by the terminal.

[0072] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0073] Indicate an identifier corresponding to at least one AI function to the terminal.

[0074] In the above embodiment, after the network device determines the identifier corresponding to at least one AI function, it will indicate the identifier corresponding to at least one AI function to the terminal so that the terminal can know which AI functions specifically correspond to which identifiers, thereby unifying the understanding of the AI ​​function between the terminal and the network device. When the subsequent network device uses the identifier to manage the AI ​​function, the terminal can accurately respond to the network device's management of the AI ​​function based on the identifier, ensuring the successful management of the AI ​​function.

[0075] In conjunction with some embodiments of the first aspect, in some embodiments, determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0076] Receive third information reported by the terminal, where the third information includes: an identifier corresponding to at least one AI function supported by the terminal, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0077] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0078] receiving a first identifier reported by a terminal, where the first identifier is an identifier corresponding to an AI function supported by the terminal;

[0079] Fourth information is sent to the terminal based on the first identifier, where the fourth information is used to manage the AI ​​function.

[0080] In conjunction with some embodiments of the first aspect, in some embodiments, the AI ​​function management includes at least one of the following:

[0081] Choice of AI features;

[0082] Configuration of AI functions;

[0083] Switching of AI function.

[0084] In conjunction with some embodiments of the first aspect, in some embodiments, the fourth information is used to indicate at least one of the following:

[0085] An identifier corresponding to the AI ​​function selected by the network device;

[0086] The identifier corresponding to the AI ​​function that needs to be activated on the terminal;

[0087] The identifier corresponding to the target AI function to be switched by the terminal.

[0088] In the above embodiment, a method for managing AI functions based on identifiers is provided, which enables the network device to successfully manage AI functions and improves the convenience of AI function management. In addition, in the above embodiment, the terminal reports a first identifier corresponding to the AI ​​function supported by the terminal to the network device. As a result, the network device can determine the AI ​​function supported by the terminal based on the first identifier reported by the terminal, and accurately manage the AI ​​function based on the AI ​​function supported by the terminal, such as activating or switching the terminal to the AI ​​function supported by the terminal, thereby ensuring the convenience of AI function management while also improving the accuracy of AI function management.

[0089] In a second aspect, an embodiment of the present disclosure provides a communication method, which is executed by a network device and includes:

[0090] The terminal determines at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter;

[0091] Among them, different AI functions correspond to different identifiers;

[0092] Different AI functions correspond to different parameters, and / or different AI functions correspond to different values ​​of the same parameter;

[0093] One or more AI functions correspond to the same AI feature, and parameters corresponding to the AI ​​functions are used to implement the AI ​​feature corresponding to the AI ​​functions.

[0094] In the above embodiment, a method for determining an identifier corresponding to an AI function is provided, which is used to successfully perform functionality identification on the AI ​​function. Subsequently, the AI ​​function can be successfully managed based on the identifier corresponding to the AI ​​function, thereby improving the convenience of AI function management.

[0095] In conjunction with some embodiments of the second aspect, in some embodiments, determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0096] At least one of the following is determined based on the protocol agreement: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0097] In conjunction with some embodiments of the second aspect, in some embodiments, determining at least one of the following based on the protocol agreement: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0098] An identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter are determined based on a protocol agreement.

[0099] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0100] Determine at least one parameter corresponding to each AI function based on the protocol agreement;

[0101] Reporting first information to a network device, the first information including: a parameter value of at least one parameter supported by the terminal; wherein the first information is used by the network device to determine an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0102] In conjunction with some embodiments of the second aspect, in some embodiments, determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0103] An identifier corresponding to the at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter are received from the network device.

[0104] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0105] The terminal autonomously determines at least one parameter corresponding to each AI function supported by the terminal and a parameter of the at least one parameter;

[0106] Reporting second information to the network device, the second information including: at least one parameter corresponding to each AI function supported by the terminal and a parameter value of the at least one parameter; wherein the second information is used by the network device to determine an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0107] In conjunction with some embodiments of the second aspect, in some embodiments, determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0108] Receive an identifier corresponding to at least one AI function sent by the network device.

[0109] In conjunction with some embodiments of the second aspect, in some embodiments, determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0110] The terminal autonomously determines an identifier corresponding to at least one AI function supported by the terminal, at least one parameter corresponding to each AI function, and a parameter of the at least one parameter.

[0111] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0112] Reporting third information to the network device, the third information including: an identifier corresponding to at least one AI function supported by the terminal, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter; wherein the third information is used by the network device to determine the identifier corresponding to the at least one AI function, the at least one parameter corresponding to each AI function, and the parameter value of the at least one parameter.

[0113] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0114] Reporting a first identifier to the network device terminal, where the first identifier is an identifier corresponding to the AI ​​function supported by the terminal;

[0115] receiving fourth information sent by the network device, where the fourth information is used to manage the AI ​​function;

[0116] The AI ​​function is managed based on the fourth information.

[0117] In conjunction with some embodiments of the second aspect, in some embodiments, the AI ​​function management includes at least one of the following:

[0118] Choice of AI features;

[0119] Configuration of AI functions;

[0120] Switching of AI function.

[0121] In conjunction with some embodiments of the second aspect, in some embodiments, the fourth information is used to indicate at least one of the following:

[0122] An identifier corresponding to the AI ​​function selected by the network device;

[0123] The identifier corresponding to the AI ​​function that needs to be activated on the terminal;

[0124] The identifier corresponding to the target AI function to be switched by the terminal.

[0125] In a third aspect, an embodiment of the present disclosure provides a communication method for a communication system, wherein the communication system includes a terminal and a network device, and the method includes at least one of the following:

[0126] The network device determines at least one of the following: an identifier corresponding to at least one artificial intelligence (AI) function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter; wherein different AI functions have different identifiers; different AI functions have different parameters; and / or different AI functions have different parameter values ​​for the same parameter; and one or more AI functions have the same AI feature, and the parameters corresponding to the AI ​​functions are used to implement the AI ​​feature corresponding to the AI ​​functions;

[0127] The terminal determines at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter;

[0128] The terminal reports a first identifier to the network device terminal, where the first identifier is an identifier corresponding to the AI ​​function supported by the terminal;

[0129] The network device receives a first identifier;

[0130] The network device sends fourth information to the terminal, where the fourth information is used to manage the AI ​​function;

[0131] The terminal receives fourth information sent by the network device;

[0132] The terminal manages the AI ​​function based on the fourth information.

[0133] In a fourth aspect, an embodiment of the present disclosure provides a network device, including:

[0134] a processing module, configured to determine at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter;

[0135] Among them, different AI functions correspond to different identifiers;

[0136] Different AI functions correspond to different parameters, and / or different AI functions correspond to different values ​​of the same parameter;

[0137] One or more AI functions correspond to the same AI feature, and parameters corresponding to the AI ​​functions are used to implement the AI ​​feature corresponding to the AI ​​functions.

[0138] In conjunction with some embodiments of the fourth aspect, in some embodiments, the processing module is further configured to:

[0139] At least one of the following is determined based on the protocol agreement: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0140] In conjunction with some embodiments of the fourth aspect, in some embodiments, the processing module is further configured to:

[0141] An identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter are determined based on a protocol agreement.

[0142] In conjunction with some embodiments of the fourth aspect, in some embodiments, the processing module is further configured to:

[0143] Determine at least one parameter corresponding to each AI function based on the protocol agreement;

[0144] receiving first information reported by a terminal, where the first information includes: a parameter value of at least one parameter supported by the terminal;

[0145] An identifier corresponding to at least one AI function is determined based on the at least one parameter and a parameter value of the at least one parameter.

[0146] In conjunction with some embodiments of the fourth aspect, in some embodiments, the processing module is further configured to:

[0147] determining at least one AI function based on the at least one parameter and a parameter value of the at least one parameter, wherein different AI functions correspond to different parameters and / or different AI functions correspond to different parameter values ​​of the same parameter;

[0148] Assign corresponding identifiers to different AI functions.

[0149] In conjunction with some embodiments of the fourth aspect, in some embodiments, the device is further used to:

[0150] Indicate to the terminal an identifier corresponding to the at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0151] In conjunction with some embodiments of the fourth aspect, in some embodiments, the processing module is further configured to:

[0152] receiving second information reported by the terminal, where the second information includes: at least one parameter corresponding to each AI function supported by the terminal and a parameter value of the at least one parameter;

[0153] An identifier is assigned to each AI function supported by the terminal.

[0154] In conjunction with some embodiments of the fourth aspect, in some embodiments, the device is further used to:

[0155] Indicate an identifier corresponding to at least one AI function to the terminal.

[0156] In conjunction with some embodiments of the fourth aspect, in some embodiments, the processing module is further configured to:

[0157] Receive third information reported by the terminal, where the third information includes: an identifier corresponding to at least one AI function supported by the terminal, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0158] In conjunction with some embodiments of the fourth aspect, in some embodiments, the device is further used to:

[0159] receiving a first identifier reported by a terminal, where the first identifier is an identifier corresponding to an AI function supported by the terminal;

[0160] Fourth information is sent to the terminal based on the first identifier, where the fourth information is used to manage the AI ​​function.

[0161] In conjunction with some embodiments of the fourth aspect, in some embodiments, the AI ​​function management includes at least one of the following:

[0162] Choice of AI features;

[0163] Configuration of AI functions;

[0164] Switching of AI function.

[0165] In conjunction with some embodiments of the fourth aspect, in some embodiments, the fourth information is used to indicate at least one of the following:

[0166] An identifier corresponding to the AI ​​function selected by the network device;

[0167] The identifier corresponding to the AI ​​function that needs to be activated on the terminal;

[0168] The identifier corresponding to the target AI function to be switched by the terminal.

[0169] In a fifth aspect, an embodiment of the present disclosure provides a terminal, including:

[0170] a processing module, configured to determine at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter;

[0171] Among them, different AI functions correspond to different identifiers;

[0172] Different AI functions correspond to different parameters, and / or different AI functions correspond to different values ​​of the same parameter;

[0173] One or more AI functions correspond to the same AI feature, and parameters corresponding to the AI ​​functions are used to implement the AI ​​feature corresponding to the AI ​​functions.

[0174] In conjunction with some embodiments of the fifth aspect, in some embodiments, the processing device is further configured to:

[0175] At least one of the following is determined based on the protocol agreement: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0176] In conjunction with some embodiments of the fifth aspect, in some embodiments, the processing device is further configured to:

[0177] An identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter are determined based on a protocol agreement.

[0178] In conjunction with some embodiments of the fifth aspect, in some embodiments, the device is further used to:

[0179] Determine at least one parameter corresponding to each AI function based on the protocol agreement;

[0180] Reporting first information to a network device, the first information including: a parameter value of at least one parameter supported by the terminal; wherein the first information is used by the network device to determine an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0181] In conjunction with some embodiments of the fifth aspect, in some embodiments, the processing device is further configured to:

[0182] An identifier corresponding to the at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter are received from the network device.

[0183] In conjunction with some embodiments of the fifth aspect, in some embodiments, the device is further used to:

[0184] The terminal autonomously determines at least one parameter corresponding to each AI function supported by the terminal and a parameter of the at least one parameter;

[0185] Reporting second information to the network device, the second information including: at least one parameter corresponding to each AI function supported by the terminal and a parameter value of the at least one parameter; wherein the second information is used by the network device to determine an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0186] In conjunction with some embodiments of the fifth aspect, in some embodiments, the processing device is further configured to:

[0187] Receive an identifier corresponding to at least one AI function sent by the network device.

[0188] In conjunction with some embodiments of the fifth aspect, in some embodiments, the processing device is further configured to:

[0189] The terminal autonomously determines an identifier corresponding to at least one AI function supported by the terminal, at least one parameter corresponding to each AI function, and a parameter of the at least one parameter.

[0190] In conjunction with some embodiments of the fifth aspect, in some embodiments, the device is further used to:

[0191] Reporting third information to the network device, the third information including: an identifier corresponding to at least one AI function supported by the terminal, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter; wherein the third information is used by the network device to determine the identifier corresponding to the at least one AI function, the at least one parameter corresponding to each AI function, and the parameter value of the at least one parameter.

[0192] In conjunction with some embodiments of the fifth aspect, in some embodiments, the device is further used to:

[0193] Reporting a first identifier to the network device terminal, where the first identifier is an identifier corresponding to the AI ​​function supported by the terminal;

[0194] receiving fourth information sent by the network device, where the fourth information is used to manage the AI ​​function;

[0195] The AI ​​function is managed based on the fourth information.

[0196] In conjunction with some embodiments of the fifth aspect, in some embodiments, the AI ​​function management includes at least one of the following:

[0197] Choice of AI features;

[0198] Configuration of AI functions;

[0199] Switching of AI function.

[0200] In conjunction with some embodiments of the fifth aspect, in some embodiments, the fourth information is used to indicate at least one of the following:

[0201] An identifier corresponding to the AI ​​function selected by the network device;

[0202] The identifier corresponding to the AI ​​function that needs to be activated on the terminal;

[0203] The identifier corresponding to the target AI function to be switched by the terminal.

[0204] In a sixth aspect, an embodiment of the present disclosure proposes a communication device, which includes: one or more processors; one or more memories for storing instructions; wherein the processor is used to call the instructions so that the communication device executes the communication method described in the first and second aspects, and the optional implementation methods of the first and second aspects.

[0205] In the seventh aspect, an embodiment of the present disclosure proposes a communication system, which includes: a terminal and a network device; wherein the terminal is configured to execute the method described in the first aspect and the optional implementation of the first aspect, and the network device is configured to execute the method described in the second aspect and the optional implementation of the second aspect.

[0206] In an eighth aspect, an embodiment of the present disclosure proposes a storage medium, which stores instructions. When the instructions are executed on a communication device, the communication device executes the method described in the first aspect, the optional implementation of the first aspect, the second aspect, and the optional implementation of the second aspect.

[0207] In a ninth aspect, an embodiment of the present disclosure proposes a program product. When the program product is executed by a communication device, the communication device executes the method described in the first aspect, the optional implementation of the first aspect, the second aspect, and the optional implementation of the second aspect.

[0208] In a tenth aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the method described in the first aspect, the optional implementation of the first aspect, the second aspect, and the optional implementation of the second aspect.

[0209] It is understandable that the above-mentioned terminals, network devices, communication devices, communication systems, storage media, program products, and computer programs are all used to execute the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding methods and will not be repeated here.

[0210] The present disclosure provides invention titles. In some embodiments, the terms "communication method" and "information processing method," "information sending method," and "information receiving method" are interchangeable; the terms "communication device" and "information processing device," "information sending device," and "information receiving device" are interchangeable; and the terms "information processing system," "communication system," "information sending system," and "information receiving system" are interchangeable.

[0211] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0212] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

[0213] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0214] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "the", "the", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun following the article may be understood as a singular expression or a plural expression.

[0215] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0216] In some embodiments, the terms "at least one of", "at least one of", "at least one of", "one or more", "a plurality of", "multiple", etc. can be used interchangeably.

[0217] In the embodiments of the present disclosure, descriptions such as “at least one of A, B, C…”, “A and / or B and / or C…”, etc. include the situation where any one of A, B, C… exists alone, and also include any combination of any multiple of A, B, C…, and each situation can exist alone; for example, “at least one of A, B, C” includes the situation where A exists alone, B exists alone, C exists alone, the combination of A and B, the combination of A and C, the combination of B and C, and the combination of A, B, and C; for example, A and / or B includes the situation where A exists alone, B exists alone, and the combination of A and B.

[0218] In some embodiments, descriptions such as "in one case A, in another case B," or "in response to one case A, in response to another case B," may include the following technical solutions depending on the situation: executing A independently of B (in some embodiments, A); executing B independently of A (in some embodiments, B); selectively executing A and B (in some embodiments, selecting between A and B); and executing both A and B (in some embodiments, A and B). The same applies when there are more branches, such as A, B, and C.

[0219] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for another example, if the description object is "information", then the "first information" and the "second information" can be the same information or different information, and their contents can be the same or different.

[0220] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0221] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0222] In some embodiments, terms such as "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not less than", and "above" can be replaced with each other, and terms such as "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

[0223] In some embodiments, devices, etc. can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. Terms such as "device", "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", and "subject" can be used interchangeably.

[0224] In some embodiments, "network" can be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

[0225] In some embodiments, the terms "access network device (AN device)", "radio access network device (RAN device)", "base station (BS)", "radio base station" "fixed station", "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission / reception point (TRP)", "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "carrier", "component carrier", "bandwidth part (BWP)" and the like may be used interchangeably.

[0226] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal", "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, etc. can be used interchangeably.

[0227] In some embodiments, the access network device, the core network device, or the network device can be replaced by a terminal. For example, the various embodiments of the present disclosure can also be applied to a structure in which the communication between the access network device, the core network device, or the network device and the terminal is replaced by communication between multiple terminals (for example, it can also be called device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, it can also be set as a structure in which the terminal has all or part of the functions of the access network device. In addition, language such as "uplink" and "downlink" can also be replaced by language corresponding to communication between terminals (for example, "side"). For example, uplink channels, downlink channels, etc. can be replaced by side channels, and uplinks, downlinks, etc. can be replaced by side links.

[0228] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, the core network device, or the network device may have a structure that has all or part of the functions of the terminal.

[0229] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0230] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0231] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0232] The correspondences shown in the tables of the present disclosure can be configured or predefined. The values ​​of the information in each table are merely examples and can be configured to other values, which are not limited by the present disclosure. When configuring the correspondences between information and parameters, it is not necessarily required to configure all the correspondences shown in each table. For example, in the tables of the present disclosure, the correspondences shown in certain rows may not be configured. For another example, appropriate deformation adjustments can be made based on the above tables, such as splitting, merging, etc. The names of the parameters shown in the titles of the above tables may also adopt other names that can be understood by the communication device, and the values ​​or representations of the parameters may also adopt other values ​​or representations that can be understood by the communication device. When implementing the above tables, other data structures may also be used, such as arrays, queues, containers, stacks, linear lists, pointers, linked lists, trees, graphs, structures, classes, heaps, hash tables or hash tables, etc.

[0233] The predefined in the present disclosure may be understood as defined, predefined, stored, pre-stored, pre-negotiated, pre-configured, solidified, or pre-burned.

[0234] Figure 1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure. As shown in Figure 1, the communication system 100 may include at least one of a network device 101 and a terminal 102. The network device may include at least one of an access network device and a core network device.

[0235] In some embodiments, the terminal includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.

[0236] In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a wireless fidelity (WiFi) system, but is not limited thereto.

[0237] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0238] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0239] In some embodiments, the core network device may be a device including one or more network elements, or may be multiple devices or a group of devices, each including all or part of one or more network elements. The network element may be virtual or physical. The core network, for example, includes at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC). Alternatively, the core network device may also be a location management function network element. Exemplarily, the location management function network element includes a location server (location server), which may be implemented as any one of the following: Location Management Function (LMF), Enhanced Serving Mobile Location Centre (E-SMLC), Secure User Plane Location (SUPL), and Secure User Plane Location Platform (SUPLLP).

[0240] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

[0241] The following embodiments of the present disclosure may be applied to the communication system 100 shown in Figure 1, or a portion thereof, but are not limited thereto. The entities shown in Figure 1 are illustrative only. The communication system may include all or part of the entities shown in Figure 1, or may include other entities outside of Figure 1. The number and form of the entities may be arbitrary. The connection relationship between the entities is illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0242] The embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), future radio access (FRA), new radio access technology (RAT), new radio (NR), new radio access (NX), future generation radio access (FX), Global System for Mobile Communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X), systems utilizing other communication methods, and next-generation systems based on and extending these methods. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0243] Optionally, there are multiple AI features in AI technology, which can be understood as AI use cases, that is, specific instances of AI application. The AI ​​use cases may include one or more of: AI-based channel state information (CSI) enhancement, AI-based beam management, and AI-based positioning.

[0244] Optionally, one or more AI functions may correspond to an AI use case, wherein the AI ​​function corresponds to at least one parameter and at least one parameter value of the parameter, and at least one of the parameters and parameter values ​​differs between different AI functions. The parameter corresponding to the AI ​​function can be used to implement the AI ​​feature corresponding to the AI ​​feature. For example, when the AI ​​feature is AI-based beam management, and the AI ​​feature corresponds to two AI functions, namely AI function #1 and AI function #2, the parameters corresponding to AI function #1 and AI function #2 can be: the number of beams input to the AI ​​model; wherein the parameter value of the parameter "number of beams input to the AI ​​model" corresponding to AI function #1 can be, for example, 4, 8, 16, and the parameter value of the parameter "number of beams input to the AI ​​model" corresponding to AI function #2 can be, for example, 32, 64. In this case, AI-based beam management can be implemented based on the parameter values ​​corresponding to AI function #1 and the parameter values ​​corresponding to AI function #2, respectively.

[0245] However, currently, it is usually necessary to perform functional identification of AI functions and further manage the AI ​​functions based on the identification. This management may include, for example, selecting AI functions, configuring AI functions, switching AI functions, etc., and there is currently no clear method for identifying AI functions.

[0246] FIG2A is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG2A , the embodiment of the present disclosure relates to a communication method for use in a communication system 100, the method comprising:

[0247] Step 2101: The network device determines at least one of the following based on a protocol agreement: an identifier corresponding to at least one AI functionality, at least one parameter corresponding to each AI functionality, and a parameter value of the at least one parameter.

[0248] The following is a detailed introduction to AI functions.

[0249] It should be noted that the AI ​​function corresponds to an AI feature. Optionally, there are multiple AI features in AI technology. The AI ​​feature can be understood as an AI use case, that is, a specific instance of AI application. The AI ​​use case may include one or more of: AI-based channel state information (CSI) enhancement, AI-based beam management, and AI-based positioning. Optionally, one or more AI functions may correspond to an AI use case, wherein the AI ​​function corresponds to a parameter and a parameter value of at least one parameter. At least one of the parameters and parameter values ​​of different AI functions is different. The parameter corresponding to the AI ​​function can be used to implement the AI ​​feature corresponding to the AI ​​function. For example, when the AI ​​feature is AI-based beam management, and the AI ​​feature corresponds to two AI functions, namely AI function #1 and AI function #2, the parameters corresponding to AI function #1 and AI function #2 may be the number of beams input to the AI ​​model; wherein the parameter value of the parameter "number of beams input to the AI ​​model" corresponding to AI function #1 may be, for example, 4, 8, or 16, and the parameter value of the parameter "number of beams input to the AI ​​model" corresponding to AI function #2 may be, for example, 32 or 64. In this case, AI-based beam management may be implemented based on the parameter values ​​corresponding to AI function #1 and the parameter values ​​corresponding to AI function #2, respectively. Optionally, in some embodiments, the above-mentioned parameter value may refer to the value range of the parameter.

[0250] It should be emphasized that the above-mentioned “AI characteristics” and “AI functions” are example descriptions of the present disclosure, and the present disclosure is not limited to them. Other similar names should also be within the scope of protection of the present disclosure.

[0251] Optionally, in some embodiments, the aforementioned "determining at least one of the following: an identifier corresponding to at least one AI functionality, at least one parameter corresponding to each AI functionality, and a parameter value of the at least one parameter" may include, for the same AI feature, determining at least one of the following: an identifier corresponding to at least one AI functionality, at least one parameter corresponding to each AI functionality, and a parameter value of the at least one parameter. For example, the identifier corresponding to at least one AI functionality, at least one parameter corresponding to each AI functionality, and a parameter value of the at least one parameter may be determined for the AI ​​feature. Optionally, different AI features may have different identifiers.

[0252] Optionally, Table 1 is a schematic table showing the correspondence between an AI function (functionality) and an identifier, at least one parameter corresponding to each AI function, and a parameter value of at least one parameter, as shown in an example of the present disclosure.

[0253] Table 1

[0254] As shown in Table 1, the parameters corresponding to the AI ​​function identified as "Functionality X" include A, and the parameter value corresponding to parameter A is: {a1x, a2x, a3x}. Optionally, the AI ​​function identified as "Functionality X", the AI ​​function identified as "Functionality Y", and the AI ​​function identified as "Functionality Z" shown in Table 1 all correspond to the same AI feature.

[0255] Step 2102: The terminal determines at least one of the following based on the protocol agreement: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0256] For the relevant introduction of step 2102, please refer to the description of the above embodiment.

[0257] Step 2103: The terminal reports the first identifier.

[0258] Optionally, the first identifier may be an identifier corresponding to an AI function supported by the terminal.

[0259] Optionally, the terminal may report the first identifier to the network device. Optionally, the network device may receive the first identifier.

[0260] For example, if the terminal supports functionality X and functionality Y in Table 1 above, the terminal can directly report support for functionality X and functionality Y without reporting the specific parameters and parameter values ​​supported, thereby saving resource overhead and improving efficiency.

[0261] Optionally, the terminal may actively report the first identifier after accessing the network, or the terminal may report the first identifier based on a request or trigger of a network device.

[0262] Step 2104: The network device sends fourth information based on the first identifier.

[0263] Optionally, the network device may send the fourth information to the terminal, and the terminal may receive the fourth information, and the fourth information is used to manage the AI ​​function. Optionally, the AI ​​function management may include at least one of the following: selection of the AI ​​function, configuration of the AI ​​function, and switching of the AI ​​function.

[0264] Optionally, when the fourth information is used to select an AI function, the fourth information may be used to indicate an identifier corresponding to the AI ​​function selected by the network device. Optionally, the network device may determine which AI functions are supported by the terminal based on the first identifier. Then, for example, when the terminal requests an AI service from the network device, the network device may select an AI function that can implement the AI ​​service from the AI ​​functions supported by the terminal based on the AI ​​service requested by the terminal, and send fourth information to the terminal. The fourth information may indicate an identifier corresponding to the AI ​​function selected by the network device, and after receiving the fourth information, the terminal may determine the AI ​​function selected by the network device and implement the corresponding AI service based on the AI ​​function selected by the network device.

[0265] Alternatively, optionally, when the fourth information is used to configure the AI ​​function, the fourth information may be used to indicate an identifier corresponding to the AI ​​function that the terminal needs to activate. Optionally, the network device may determine which AI functions the terminal supports based on the first identifier. Then, for example, when the terminal requests the network device to activate the AI ​​function, the network device may select a suitable AI function from the AI ​​functions supported by the terminal based on the AI ​​service currently executed by the terminal, and send the fourth information to the terminal. The fourth information may indicate an identifier corresponding to the AI ​​function that the terminal needs to activate, and after the terminal receives the fourth information, the terminal may determine the AI ​​function to be activated and activate the AI ​​function to implement the corresponding AI service.

[0266] For example, if the terminal supports {Functionality X, Functionality Y, Functionality Z}, then if the network device determines that the terminal needs to activate Functionality X, then the network device can directly configure the activation of Functionality X without configuring the parameters and parameter values ​​corresponding to Functionality X, which can save signaling overhead and improve efficiency.

[0267] Alternatively, optionally, when the fourth information is used to switch the AI ​​function, the fourth information may be used to indicate an identifier corresponding to the target AI function to be switched by the terminal. Optionally, the network device may determine which AI functions are supported by the terminal based on the first identifier. Then, for example, when the terminal requests the network device to switch the AI ​​function, the network device may select the target to be switched by the terminal from the AI ​​functions supported by the terminal based on the AI ​​service currently executed by the terminal, and send the fourth information to the terminal. The fourth information may indicate an identifier corresponding to the target AI function to be switched by the terminal, so that after the terminal receives the fourth information, the terminal can switch to the target AI function indicated by the fourth information to implement the AI ​​service.

[0268] Step 2105: The terminal manages the AI ​​function based on the fourth information.

[0269] Optionally, in some embodiments, when the terminal receives the above-mentioned fourth information sent by the network device, the terminal can select the corresponding AI function based on the identifier indicated by the fourth information to perform the AI ​​service, or the terminal can activate the corresponding AI function based on the identifier indicated by the fourth information to perform the AI ​​service, or the terminal can switch from the current AI function to the AI ​​function corresponding to the identifier indicated by the fourth information to perform the AI ​​service.

[0270] The communication method according to the embodiments of the present disclosure may include at least one of steps S2101 to S2105. For example, step S2101 may be implemented as an independent embodiment, step S2102 may be implemented as an independent embodiment, step S2103 may be implemented as an independent embodiment, and steps S2101+S2102 may be implemented as independent embodiments, but the present invention is not limited thereto.

[0271] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0272] FIG2B is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG2B , the embodiment of the present disclosure relates to a communication method for use in a communication system 100, the method comprising:

[0273] Step 2201: The network device determines at least one parameter corresponding to each AI function based on a protocol agreement.

[0274] For example, the protocol may stipulate that the at least one parameter corresponding to one or more AI functions corresponding to AI feature #1 may be: A, B, C.

[0275] Step 2202: The terminal determines at least one parameter corresponding to each AI function based on the protocol agreement.

[0276] Step 2203: The first information reported by the terminal.

[0277] Optionally, the first information may include: a parameter value of at least one parameter supported by the terminal.

[0278] For example, assuming that the parameters corresponding to one or more AI functions of AI feature #1 are: A, B, and C, then terminal #1 can report the parameter values ​​supported by it for A, B, and C, respectively. For example, terminal #1 can report that the parameter value supported by it for parameter A is: {a1x, a2x, a3x, a1y, a2y, a3y}, the parameter value supported by it for parameter B is: {b1x, b2x, b3x, b1y, b2y, b3y}, and the parameter value supported by it for parameter C is: {c1x, c2x, c3x, c1y, c2y, c3y}; terminal #2 can report the parameter values ​​supported by it for A, B, and C, respectively. For example, terminal #2 can report that the parameter value supported by it for parameter A is: {a1x, a2x, a3x, a1y, a2y, a3y} 1z,a2z,a3z}, the parameter values ​​supported for parameter B are: {b1x,b2x,b3x,b1z,b2z,b3z}, and the parameter values ​​supported for parameter C are: {c1x,c2x,c3x,c1z,c2z,c3z}.

[0279] Optionally, the terminal may report the first information to the network device, and the network device may receive the first information.

[0280] Optionally, the terminal may actively report the first information after accessing the network, or the terminal may report the first information based on a request or trigger of a network device.

[0281] Step 2204: The network device determines at least one AI function based on the parameters and parameter values.

[0282] Optionally, the network device may determine at least one AI function based on parameters and parameter values ​​based on a local policy. For example, the network device may determine at least one AI function based on the policy that "at least one of the parameters and parameter values ​​of different AI functions is different."

[0283] For example, assume that terminal #1 reports that the parameter values ​​it supports for parameter A are: {a1x, a2x, a3x, a1y, a2y, a3y}, the parameter values ​​it supports for parameter B are: {b1x, b2x, b3x, b1y, b2y, b3y}, and the parameter values ​​it supports for parameter C are: {c1x, c2x, c3x, c1y, c2y, c3y}; terminal #2 can report that the parameter values ​​it supports for parameter A are: {a1x, a2x, a3x, a 1z, a2z, a3z}, the parameter values ​​it supports for parameter B are: {b1x, b2x, b3x, b1z, b2z, b3z}, and the parameter values ​​it supports for parameter C are: {c1x, c2x, c3x, c1z, c2z, c3z}. Since terminal A and terminal B support parameter values ​​{a1x,a2x,a3x} for parameter A, {b1x,b2x,b3x} for parameter B, and {c1x,c2x,c3x} for parameter C, parameter A and the corresponding parameter values ​​{a1x,a2x,a3x} for parameter A, parameter B and the corresponding parameter values ​​{b1x,b2x,b3x} for parameter B, and parameter C and the corresponding parameter values ​​{c1x,c2x,c3x} for parameter C can be divided into one AI function; at the same time, since terminal A supports parameter values ​​{a1y,a2y,a3y} for parameter A and { b1y, b2y, b3y}, and for C, {c1y, c2y, c3y} is supported simultaneously, then parameter A and its corresponding parameter value {a1y, a2y, a3y}, parameter B and its corresponding parameter value {b1y, b2y, b3y}, and parameter C and its corresponding parameter value {c1y, c2y, c3y} can be classified as one AI function. Similarly, parameter A and its corresponding parameter value {a1z, a2z, a3z}, parameter B and its corresponding parameter value {b1z, b2z, b3z}, and parameter C and its corresponding parameter value {c1z, c2z, c3z} can be classified as one AI function. Optionally, the at least one AI function determined by the network device in this step can be as shown in Table 1 above.

[0284] Step 2205: The network device assigns corresponding identifiers to different AI functions.

[0285] For example, a network device can assign the identifier Functionality X to "AI function: parameter A, parameter value corresponding to parameter A {a1x, a2x, a3x}, parameter B, parameter value corresponding to parameter B {b1x, b2x, b3x}, parameter C, parameter value corresponding to parameter C {c1x, c2x, c3x}"; assign the identifier Functionality Y to "AI function: parameter A, parameter value corresponding to parameter A {a1y, a2y, a3y}, parameter B, parameter value corresponding to parameter B {b1y, b2y, b3y}, parameter C, parameter value corresponding to parameter C {c1y, c2y, c3y}"; and assign the identifier Functionality Z to "AI function: parameter A, parameter value corresponding to parameter A {a1z, a2z, a3z}, parameter B, parameter value corresponding to parameter B {b1z, b2z, b3z}, parameter C, parameter value corresponding to parameter C {c1z, c2z, c3z}". Optionally, the identifiers assigned by the network device to different AI functions in this step may be as shown in Table 1 above.

[0286] Step 2206: The network device indicates to the terminal an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0287] Step 2207: The terminal reports the first identifier.

[0288] Step 2208: The network device sends fourth information based on the first identifier, where the fourth information is used to perform AI function management on the AI ​​function.

[0289] Step 2209: The terminal manages the AI ​​function based on the fourth information.

[0290] For further detailed description of steps 2201 - 2209 , please refer to the above embodiment description.

[0291] The communication method involved in the embodiments of the present disclosure may include at least one of steps S2201 to S2209. For example, step S2201 may be implemented as an independent embodiment, step S2202 may be implemented as an independent embodiment, step S2203 may be implemented as an independent embodiment, and steps S2201+S2202 may be implemented as independent embodiments, but the present invention is not limited thereto.

[0292] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0293] FIG2C is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG2C , the embodiment of the present disclosure relates to a communication method for use in a communication system 100, the method comprising:

[0294] Step 2301: The terminal autonomously determines at least one parameter and a parameter value of the at least one parameter corresponding to each AI function supported by the terminal for the AI ​​feature.

[0295] Optionally, the terminal may determine at least one parameter corresponding to each AI function supported by the terminal for the AI ​​feature and a parameter value of the at least one parameter based on the local AI model deployment.

[0296] Step 2302: The terminal reports the second information.

[0297] Optionally, the second information may include: at least one parameter corresponding to each AI function supported by the terminal and a parameter value of the at least one parameter.

[0298] Optionally, the terminal may report the second information to the network device, and the network device may receive the second information.

[0299] Optionally, the terminal may actively report the second information after accessing the network, or the terminal may report the second information based on a request or trigger of a network device.

[0300] Step 2303: The network device assigns an identifier to at least one AI function supported by the terminal.

[0301] Step 2304: Indicate an identifier corresponding to at least one AI function to the terminal.

[0302] Step 2305: The terminal reports the first identifier.

[0303] Step 2306: The network device sends fourth information based on the first identifier, where the fourth information is used to perform AI function management on the AI ​​function.

[0304] Step 2307: The terminal manages the AI ​​function based on the fourth information.

[0305] For further detailed description of steps 2302 - 2307 , please refer to the above embodiment description.

[0306] The communication method according to the embodiments of the present disclosure may include at least one of steps S2301 to S2307. For example, step S2301 may be implemented as an independent embodiment, step S2302 may be implemented as an independent embodiment, step S2303 may be implemented as an independent embodiment, and steps S2301+S2302 may be implemented as independent embodiments, but the present invention is not limited thereto.

[0307] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0308] FIG2D is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG2D , the embodiment of the present disclosure relates to a communication method for use in a communication system 100, the method comprising:

[0309] Step 2401: The terminal autonomously determines at least one parameter and a parameter value of the at least one parameter corresponding to each AI function supported by the terminal for the AI ​​feature.

[0310] Step 2402: The terminal assigns an identifier to each of at least one AI function supported by the terminal.

[0311] Step 2403: The terminal reports the third information.

[0312] Optionally, the third information may include: an identifier corresponding to at least one AI function supported by the terminal, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0313] Optionally, the terminal may report the third information to the network device, and the network device may receive the third information.

[0314] For example, for the same AI feature, terminal 1 may report supporting two AI functionalities, where the parameters corresponding to the two AI functionalities supported by terminal 1 include A, B, and C, respectively. Terminal 2 may report supporting two AI functionalities, where the parameters corresponding to the two AI functionalities supported by terminal 2 include E, F, and G, respectively. Optionally, Table 3 shows a schematic table of the identifiers, parameters, and parameter values ​​of the two AI functionalities reported by terminal 1, and Table 4 shows a schematic table of the identifiers, parameters, and parameter values ​​of the two AI functionalities reported by terminal 2.

[0315] Table 2

[0316] Table 3

[0317] Optionally, the terminal may actively report the third information after accessing the network, or the terminal may report the third information based on a request or trigger of a network device.

[0318] Step 2404: The terminal reports the first identifier.

[0319] Step 2405: The network device sends fourth information based on the first identifier, where the fourth information is used to perform AI function management on the AI ​​function.

[0320] Step 2406: The terminal manages the AI ​​function based on the fourth information.

[0321] For further detailed description of steps 2401 - 2406 , please refer to the above embodiment description.

[0322] The communication method involved in the embodiments of the present disclosure may include at least one of steps S2401 to S2406. For example, step S2401 may be implemented as an independent embodiment, step S2402 may be implemented as an independent embodiment, step S2403 may be implemented as an independent embodiment, and steps S2401+S2402 may be implemented as independent embodiments, but the present invention is not limited thereto.

[0323] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0324] FIG3A is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG3A , the present disclosure embodiment relates to a communication method for a network device 101, the method comprising:

[0325] Step 3101: The network device determines at least one of the following based on a protocol agreement: an identifier corresponding to at least one AI functionality, at least one parameter corresponding to each AI functionality, and a parameter value of the at least one parameter.

[0326] Step 3102: The network device receives the first identifier reported by the terminal.

[0327] Step 3103: The network device sends the fourth information.

[0328] For a detailed description of steps 3101 - 3103 , please refer to the above embodiment description.

[0329] The communication method involved in the embodiments of the present disclosure may include at least one of steps S3101 to S3103. For example, step S3101 may be implemented as an independent embodiment, step S3102 may be implemented as an independent embodiment, and steps S3101+S3102 may be implemented as independent embodiments, but are not limited thereto.

[0330] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0331] FIG3B is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG3B , the present disclosure embodiment relates to a communication method for a network device 101, the method comprising:

[0332] Step 3201: The network device determines at least one parameter corresponding to each AI function based on the protocol agreement.

[0333] Step 3202: The network device receives the first information reported by the terminal.

[0334] Step 3203: The network device determines at least one AI function based on the parameters and parameter values.

[0335] Step 3204: The network device assigns corresponding identifiers to different AI functions.

[0336] Step 3205: The network device indicates to the terminal an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0337] Step 3206: The network device receives the first identifier reported by the terminal.

[0338] Step 3207: The network device sends the fourth information.

[0339] For a detailed description of steps 3201 - 3207 , please refer to the above embodiment description.

[0340] The communication method involved in the embodiment of the present disclosure may include at least one of steps S3201 to S3207. For example, step S3201 may be implemented as an independent embodiment, and step S3202 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0341] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0342] FIG3C is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG3C , the present disclosure embodiment relates to a communication method for a network device 101, the method comprising:

[0343] Step 3301: The network device receives second information reported by the terminal.

[0344] Step 3302: The network device assigns an identifier to at least one AI function supported by the terminal.

[0345] Step 3303: The network device indicates an identifier corresponding to at least one AI function to the terminal.

[0346] Step 3304: The network device receives the first identifier reported by the terminal.

[0347] Step 3305: The network device sends the fourth information.

[0348] For a detailed description of steps 3301 - 3305 , please refer to the above embodiment description.

[0349] The communication method according to the embodiment of the present disclosure may include at least one of steps S3301 to S3305. For example, step S3301 may be implemented as an independent embodiment, step S3302 may be implemented as an independent embodiment, and steps S3301+S3302 may be implemented as independent embodiments, but are not limited thereto.

[0350] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0351] FIG3D is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG3D , the embodiment of the present disclosure relates to a communication method for a network device 101, the method comprising:

[0352] Step 3401: The network device receives the third information reported by the terminal.

[0353] Step 3402: The network device receives the first identifier reported by the terminal.

[0354] Step 3403: The network device sends the fourth information.

[0355] For a detailed description of steps 3401-3403, please refer to the above embodiment description.

[0356] The communication method involved in the embodiment of the present disclosure may include at least one of steps S3401 to S3403. For example, step S3401 may be implemented as an independent embodiment, and step S3402 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0357] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0358] FIG3E is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG3E , the embodiment of the present disclosure relates to a communication method for a network device 101, the method comprising:

[0359] Step 3501: The network device determines at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0360] Optionally, different AI functions correspond to different identifiers;

[0361] Different AI functions correspond to different parameters, and / or different AI functions correspond to different values ​​of the same parameter;

[0362] One or more AI functions correspond to the same AI feature, and parameters corresponding to the AI ​​functions are used to implement the AI ​​features corresponding to the AI ​​functions.

[0363] Optionally, the determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0364] At least one of the following is determined based on the protocol agreement: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0365] Optionally, determining at least one of the following based on the protocol agreement: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0366] An identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter are determined based on a protocol agreement.

[0367] Optionally, determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0368] Determine at least one parameter corresponding to each AI function based on the protocol agreement;

[0369] receiving first information reported by a terminal, where the first information includes: a parameter value of at least one parameter supported by the terminal;

[0370] An identifier corresponding to at least one AI function is determined based on the at least one parameter and a parameter value of the at least one parameter.

[0371] Optionally, determining an identifier corresponding to at least one AI function based on the at least one parameter and a parameter value of the at least one parameter includes:

[0372] determining at least one AI function based on the at least one parameter and a parameter value of the at least one parameter, wherein different AI functions correspond to different parameters and / or different AI functions correspond to different parameter values ​​of the same parameter;

[0373] Assign corresponding identifiers to different AI functions.

[0374] Optionally, the method further includes:

[0375] Indicate to the terminal an identifier corresponding to the at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0376] Optionally, the determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0377] receiving second information reported by the terminal, where the second information includes: at least one parameter corresponding to each AI function supported by the terminal and a parameter value of the at least one parameter;

[0378] An identifier is assigned to each AI function supported by the terminal.

[0379] Optionally, the method further includes:

[0380] Indicate an identifier corresponding to at least one AI function to the terminal.

[0381] Optionally, the determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0382] Receive third information reported by the terminal, where the third information includes: an identifier corresponding to at least one AI function supported by the terminal, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0383] Optionally, the method further includes:

[0384] receiving a first identifier reported by a terminal, where the first identifier is an identifier corresponding to an AI function supported by the terminal;

[0385] Fourth information is sent to the terminal based on the first identifier, where the fourth information is used to manage the AI ​​function.

[0386] Optionally, the AI ​​function management includes at least one of the following:

[0387] Choice of AI features;

[0388] Configuration of AI functions;

[0389] Switching of AI function.

[0390] Optionally, the fourth information is used to indicate at least one of the following:

[0391] An identifier corresponding to the AI ​​function selected by the network device;

[0392] The identifier corresponding to the AI ​​function that needs to be activated on the terminal;

[0393] The identifier corresponding to the target AI function to be switched by the terminal.

[0394] For a detailed introduction to step 3501, please refer to the content of the above embodiment.

[0395] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0396] FIG4A is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG4A , the embodiment of the present disclosure relates to a communication method for a terminal 102, the method comprising:

[0397] Step 4101: The terminal determines at least one of the following based on a protocol agreement: an identifier corresponding to at least one AI functionality, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0398] Step 4102: The terminal reports the first identifier.

[0399] Step 4103: The terminal receives the fourth information sent by the network device.

[0400] Step 4104: The terminal manages the AI ​​function based on the fourth information.

[0401] For a detailed description of steps 4101-4104, please refer to the above embodiment.

[0402] The communication method involved in the embodiment of the present disclosure may include at least one of steps S4101 to S4104. For example, step S4101 may be implemented as an independent embodiment, and step S4102 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0403] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0404] FIG4B is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG4B , the embodiment of the present disclosure relates to a communication method for terminal 102, the method comprising:

[0405] Step 4201: The terminal determines at least one parameter corresponding to each AI function based on the protocol agreement.

[0406] Step 4202: The terminal reports the first information.

[0407] Step 4203: The terminal receives an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of at least one parameter, sent by the network device.

[0408] Step 4204: The terminal reports the first identifier.

[0409] Step 4205: The terminal receives the fourth information sent by the network device.

[0410] Step 4206: The terminal manages the AI ​​function based on the fourth information.

[0411] For a detailed description of steps 4201-4206, please refer to the above embodiment.

[0412] The communication method involved in the embodiment of the present disclosure may include at least one of steps S4201 to S4206. For example, step S4201 may be implemented as an independent embodiment, and step S4202 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0413] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0414] FIG4C is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG4C , the present disclosure embodiment relates to a communication method for terminal 102, the method comprising:

[0415] Step 4301: The terminal autonomously determines at least one parameter and a parameter value of the at least one parameter corresponding to each AI function supported by the terminal for the AI ​​feature.

[0416] Step 4302: The terminal reports the second information.

[0417] Step 4303: The terminal receives an identifier corresponding to at least one AI function sent by the network device.

[0418] Step 4304: The terminal reports the first identifier.

[0419] Step 4305: The terminal receives the fourth information sent by the network device.

[0420] Step 4306: The terminal manages the AI ​​function based on the fourth information.

[0421] For a detailed description of steps 4301-4306, please refer to the above embodiment.

[0422] The communication method involved in the embodiment of the present disclosure may include at least one of steps S4301 to S4306. For example, step S4301 may be implemented as an independent embodiment, and step S4302 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0423] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0424] FIG4D is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG4D , the embodiment of the present disclosure relates to a communication method for terminal 102, the method comprising:

[0425] Step 4401: The terminal autonomously determines at least one parameter and a parameter value of the at least one parameter corresponding to each AI function supported by the terminal for the AI ​​feature.

[0426] Step 4402: The terminal assigns an identifier to each of at least one AI function supported by the terminal.

[0427] Step 4403: The terminal reports the third information.

[0428] Step 4404: The terminal reports the first identifier.

[0429] Step 4405: The terminal receives the fourth information sent by the network device.

[0430] Step 4406: The terminal manages the AI ​​function based on the fourth information.

[0431] For a detailed description of steps 4401-4406, please refer to the above embodiment.

[0432] The communication method involved in the embodiment of the present disclosure may include at least one of steps S4401 to S4406. For example, step S4401 may be implemented as an independent embodiment, and step S4402 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0433] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0434] FIG4E is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG4E , the embodiment of the present disclosure relates to a communication method for terminal 102, the method comprising:

[0435] Step 4501: The terminal determines at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0436] Optionally, different AI functions correspond to different identifiers;

[0437] Different AI functions correspond to different parameters, and / or different AI functions correspond to different values ​​of the same parameter;

[0438] One or more AI functions correspond to the same AI feature, and parameters corresponding to the AI ​​functions are used to implement the AI ​​feature corresponding to the AI ​​functions.

[0439] Optionally, the determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0440] At least one of the following is determined based on the protocol agreement: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0441] Optionally, determining at least one of the following based on the protocol agreement: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0442] An identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter are determined based on a protocol agreement.

[0443] Optionally, the method further includes:

[0444] Determine at least one parameter corresponding to each AI function based on the protocol agreement;

[0445] Reporting first information to a network device, the first information including: a parameter value of at least one parameter supported by the terminal; wherein the first information is used by the network device to determine an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0446] Optionally, determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0447] An identifier corresponding to the at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter are received from the network device.

[0448] Optionally, the method further includes:

[0449] The terminal autonomously determines at least one parameter corresponding to each AI function supported by the terminal and a parameter of the at least one parameter;

[0450] Reporting second information to the network device, the second information including: at least one parameter corresponding to each AI function supported by the terminal and a parameter value of the at least one parameter; wherein the second information is used by the network device to determine an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0451] Optionally, determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0452] Receive an identifier corresponding to at least one AI function sent by the network device.

[0453] Optionally, determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes:

[0454] The terminal autonomously determines an identifier corresponding to at least one AI function supported by the terminal, at least one parameter corresponding to each AI function, and a parameter of the at least one parameter.

[0455] Optionally, the method further includes:

[0456] Reporting third information to the network device, the third information including: an identifier corresponding to at least one AI function supported by the terminal, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter; wherein the third information is used by the network device to determine the identifier corresponding to the at least one AI function, the at least one parameter corresponding to each AI function, and the parameter value of the at least one parameter.

[0457] Optionally, the method further includes:

[0458] Reporting a first identifier to the network device terminal, where the first identifier is an identifier corresponding to the AI ​​function supported by the terminal;

[0459] receiving fourth information sent by the network device, where the fourth information is used to manage the AI ​​function;

[0460] The AI ​​function is managed based on the fourth information.

[0461] Optionally, the AI ​​function management includes at least one of the following:

[0462] Choice of AI features;

[0463] Configuration of AI functions;

[0464] Switching of AI function.

[0465] Optionally, the fourth information is used to indicate at least one of the following:

[0466] An identifier corresponding to the AI ​​function selected by the network device;

[0467] The identifier corresponding to the AI ​​function that needs to be activated on the terminal;

[0468] The label corresponding to the target AI function to be switched by the terminal.

[0469] For a detailed introduction to step 4501, please refer to the content of the above embodiment.

[0470] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0471] Figure 5 is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in Figure 5, the embodiment of the present disclosure relates to a communication method for a communication system including a terminal and a network device. The method includes at least one of the following:

[0472] Step 5101: The network device determines at least one of the following: an identifier corresponding to at least one artificial intelligence (AI) function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0473] Step 5102: The terminal determines at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

[0474] Step 5103: The terminal reports the first identifier to the network device terminal.

[0475] Step 5104: The network device receives the first identifier.

[0476] Step 5105: The network device sends fourth information to the terminal.

[0477] Step 5106: The terminal receives the fourth information sent by the network device.

[0478] Step 5107: The terminal manages the AI ​​function based on the fourth information.

[0479] Optional implementations of steps 5101 to 5105 can be found in the above embodiments.

[0480] In some embodiments, the above method may include the method described in the above embodiments of the communication system side, terminal side, network device side, etc., which will not be repeated here.

[0481] The communication method involved in the embodiment of the present disclosure may include at least one of steps S5101 to S5105. For example, step S5101 may be implemented as an independent embodiment, and step S5102 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0482] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0483] The following is an exemplary introduction to the above method.

[0484] An AI feature (an AI feature here can be an AI use case, such as AI-based CSI compression or AI-based CSI prediction) can include multiple AI functionalities. An AI functionality corresponds to a series of parameters. For example, for AI-based beam management, two functionalities are defined. One functionality corresponds to the number of beams input to the AI ​​model being 4, 8, or 16. The other AI functionality corresponds to the number of beams input to the AI ​​model being 32, 64, and so on. Related operations based on AI functionality include functionality identification (AI function authentication) and lifecycle management based on AI functionality, including functionality selection, configuration, and switching.

[0485] Method 1:

[0486] The AI ​​functionality is predefined in the protocol. The AI ​​functionality includes the parameters included in this AI functionality and the corresponding values ​​of this parameter.

[0487] And there is a preset logo for each AI functionality.

[0488] When the terminal needs to perform AI functionality identification, it directly reports the corresponding identifier of the supported AI functionality. For example, if UE1 supports functionality X and functionality Y, then UE1 can directly report support for functionality X and functionality Y without reporting the specific parameter value range supported.

[0489] Configuration and switching of AI functionality are also based on this AI functionality identifier. For example, if UE1 supports {Functionality X, Functionality Y, Functionality Z}, the network will directly configure and activate functionality X without configuring the specific value ranges of parameters A, B, and C.

[0490] Method 2:

[0491] The protocol predefines the relevant parameters that determine AI functionality. For example, for AI features, the protocol specifies the relevant parameters that determine AI functionality as parameter A, parameter B, and parameter C.

[0492] The terminal reports the value ranges of the relevant parameters it supports. For example, UE1 reports that the value range of parameter A is {a1x, a2x, a3x, a 1y, a2y, a3y}, the value range of parameter B is {b1x, b2x, b3x, b1y, b2y, b3y}, and the value range of parameter C is {{c1x, c2x, c3x, c1y, c2y, c3y}. UE2 reports that the value range of the relevant parameters it supports is {a1x, a2x, a3x, a 1z, a2z, a3z}, the value range of parameter B is {b1x, b2x, b3x, b1z, b2z, b3z}, and the value range of parameter C is {{c1x, c2x, c3x, c1z, c2z, c3z}.

[0493] The network determines the parameter value range corresponding to the AI ​​functionality based on the terminal's report and assigns the corresponding identifier.

[0494] The subsequent lifecycle management of AI functionality is performed based on the identifier assigned by the network. For example, the network can directly indicate the activation of functionality X or functionality Y.

[0495] Method 3:

[0496] The terminal side independently establishes Functionality and reports the parameters and value ranges corresponding to the functionality. For example, for the same AI feature, UE1 reports that it supports two functionalities, and the parameters corresponding to the two functionalities are A, B, and C, and reports the value ranges corresponding to these parameters.

[0497] The parameters corresponding to the two supported functionaities reported by UE2 are E, F, and G.

[0498] The terminal side can identify the functionality independently, or the network side can identify the functionality reported by the terminal

[0499] Subsequent functionality-based lifecycle management can be performed based on the identifier.

[0500] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0501] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), which realizes the functions of some or all of the above units or modules by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.

[0502] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationship of the hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and implementing the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0503] FIG6A is a schematic diagram of the structure of a network device proposed in an embodiment of the present disclosure. As shown in FIG6A , it includes:

[0504] a processing module, configured to determine at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter;

[0505] Among them, different AI functions correspond to different identifiers;

[0506] Different AI functions correspond to different parameters, and / or different AI functions correspond to different values ​​of the same parameter;

[0507] One or more AI functions correspond to the same AI feature, and parameters corresponding to the AI ​​functions are used to implement the AI ​​feature corresponding to the AI ​​functions.

[0508] Optionally, the processing module is used to execute the steps related to "processing" performed by the network device 101 in any of the above methods. Optionally, the network device further includes at least one of a sending module and a receiving module. The sending module is used to execute the steps related to "processing" performed by the network device 101 in any of the above methods, which are not described in detail here. The receiving module is used to execute the steps related to receiving performed by the network device 101 in any of the above methods, which are not described in detail here.

[0509] FIG6B is a schematic diagram of the structure of the terminal proposed in an embodiment of the present disclosure. As shown in FIG6B , it includes:

[0510] a processing module, configured to determine at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter;

[0511] Among them, different AI functions correspond to different identifiers;

[0512] Different AI functions correspond to different parameters, and / or different AI functions correspond to different values ​​of the same parameter;

[0513] One or more AI functions correspond to the same AI feature, and parameters corresponding to the AI ​​functions are used to implement the AI ​​feature corresponding to the AI ​​functions.

[0514] Optionally, the processing module is used to execute the steps related to "processing" performed by the terminal 102 in any of the above methods, which are not described in detail here. Optionally, the terminal further includes at least one of a receiving module and a sending module, the receiving module is used to execute the steps related to processing performed by the terminal 102 in any of the above methods, and the sending module is used to execute the steps related to sending performed by the terminal 102 in any of the above methods, which are not described in detail here.

[0515] Figure 7A is a schematic diagram of the structure of a communication device 7100 proposed in an embodiment of the present disclosure. Communication device 7100 can be a network device (e.g., an access network device, a core network device, etc.), a terminal (e.g., a user equipment, etc.), a chip, a chip system, or a processor that supports a network device to implement any of the above methods, or a chip, a chip system, or a processor that supports a terminal to implement any of the above methods. Communication device 7100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

[0516] As shown in Figure 7A, the communication device 7100 includes one or more processors 7101. The processor 7101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process program data. The processor 7101 is used to call instructions to enable the communication device 7100 to perform any of the above methods.

[0517] In some embodiments, the communication device 7100 further includes one or more memories 7102 for storing instructions. Optionally, all or part of the memories 7102 may be located outside the communication device 7100.

[0518] In some embodiments, the communication device 7100 further includes one or more transceivers 7103. When the communication device 7100 includes one or more transceivers 7103, the communication steps such as sending and receiving in the above method are performed by the transceiver 7103, and the other steps are performed by the processor 7101.

[0519] In some embodiments, a transceiver may include a receiver and a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, and transceiver circuit may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

[0520] Optionally, the communication device 7100 further includes one or more interface circuits 7104, which are connected to the memory 7102. The interface circuits 7104 may be configured to receive signals from the memory 7102 or other devices, and may be configured to send signals to the memory 7102 or other devices. For example, the interface circuits 7104 may read instructions stored in the memory 7102 and send the instructions to the processor 7101.

[0521] The communication device 7100 described in the above embodiment may be a network device or a terminal, but the scope of the communication device 7100 described in the present disclosure is not limited thereto, and the structure of the communication device 7100 may not be limited by FIG. 7a. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0522] 7B is a schematic diagram of the structure of a chip 7200 proposed in an embodiment of the present disclosure. If the communication device 7100 can be a chip or a chip system, please refer to the schematic diagram of the structure of the chip 7200 shown in FIG7B , but the present disclosure is not limited thereto.

[0523] The chip 7200 includes one or more processors 7201 , and the processor 7201 is used to call instructions so that the chip 7200 executes any of the above methods.

[0524] In some embodiments, chip 7200 further includes one or more interface circuits 7202, which are connected to memory 7203. Interface circuit 7202 can be used to receive signals from memory 7203 or other devices, and can be used to send signals to memory 7203 or other devices. For example, interface circuit 7202 can read instructions stored in memory 7203 and send the instructions to processor 7201. Optionally, the terms interface circuit, interface, transceiver pin, and transceiver are interchangeable.

[0525] In some embodiments, the chip 7200 further includes one or more memories 7203 for storing instructions. Alternatively, all or part of the memories 7203 may be located outside the chip 7200.

[0526] The present disclosure also proposes a storage medium having instructions stored thereon. When the instructions are executed on the communication device 7100, the communication device 7100 executes any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a temporary storage medium.

[0527] The present disclosure also provides a program product, which, when executed by the communication device 7100, enables the communication device 7100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0528] The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to perform any one of the above methods.

[0529] In the above embodiments, all or part of the embodiments can be implemented by software, hardware, firmware or any combination thereof. When implemented using software, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer programs. When the computer program is loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present disclosure are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer program can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer program 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 computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a high-density digital video disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0530] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0531] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0532] The above description is merely a specific embodiment of the present disclosure, but the scope of protection of the present disclosure is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this disclosure should be included in the scope of protection of the present disclosure. Therefore, the scope of protection of the present disclosure should be based on the scope of protection of the claims.

Claims

1. A determination method, characterized in that: The method comprises: The network device determines at least one of the following: an identifier corresponding to at least one artificial intelligence (AI) functionality, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter; Among them, different AI functions correspond to different identifiers; Different AI functions correspond to different parameters, and / or different AI functions correspond to different parameter values ​​of the same parameter; One or more AI functions correspond to the same AI feature feature, and the parameters corresponding to the AI ​​function are used to implement the AI ​​feature corresponding to the AI ​​function.

2. The method according to claim 1, characterized in that The determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes: At least one of the following is determined based on the protocol agreement: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

3. The method according to claim 2, characterized in that The determining at least one of the following based on the protocol agreement: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes: Based on the protocol agreement, an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter are determined.

4. The method according to claim 1 or 2, characterized in that: The determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes: Determine at least one parameter corresponding to each AI function based on the protocol agreement; receiving first information reported by a terminal, wherein the first information includes: a parameter value of at least one parameter supported by the terminal; An identifier corresponding to at least one AI function is determined based on the at least one parameter and a parameter value of the at least one parameter.

5. The method according to claim 4, characterized in that The determining, based on the at least one parameter and the parameter value of the at least one parameter, an identifier corresponding to at least one AI function includes: Determining at least one AI function based on the at least one parameter and the parameter value of the at least one parameter, wherein different AI functions correspond to different parameters and / or different AI functions correspond to different parameter values ​​of the same parameter; Assign corresponding identifiers to different AI functions.

6. The method according to claim 4 or 5, characterized in that The method further comprises: Indicate to the terminal an identifier corresponding to the at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

7. The method according to claim 1, characterized in that The determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes: receiving second information reported by the terminal, where the second information includes: at least one parameter corresponding to each AI function supported by the terminal and a parameter value of the at least one parameter; An identifier is assigned to each AI function supported by the terminal.

8. The method according to claim 7, characterized in that The method further comprises: Indicate to the terminal an identifier corresponding to at least one AI function.

9. The method according to claim 1, characterized in that The determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes: The third information reported by the terminal is received, where the third information includes: an identifier corresponding to at least one AI function supported by the terminal, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

10. The method according to any one of claims 1 to 9, characterized in that: The method further comprises: receiving a first identifier reported by a terminal, where the first identifier is an identifier corresponding to an AI function supported by the terminal; Send fourth information to the terminal based on the first identifier, where the fourth information is used to manage the AI ​​function.

11. The method according to claim 10, characterized in that The AI ​​function management includes at least one of the following: Choice of AI functions; Configuration of AI functions; Switching of AI function.

12. The method according to claim 10 or 11, characterized in that The fourth information is used to indicate at least one of the following: An identifier corresponding to the AI ​​function selected by the network device; An identifier corresponding to the AI ​​function that needs to be activated on the terminal; The identifier corresponding to the target AI function to be switched by the terminal.

13. A determination method, characterized in that: The method comprises: The terminal determines at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter; Among them, different AI functions correspond to different identifiers; Different AI functions correspond to different parameters, and / or different AI functions correspond to different parameter values ​​of the same parameter; One or more AI functions correspond to the same AI feature, and the parameters corresponding to the AI ​​functions are used to implement the AI ​​features corresponding to the AI ​​functions.

14. The method according to claim 13, characterized in that The determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes: At least one of the following is determined based on the protocol agreement: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

15. The method according to claim 14, characterized in that The determining at least one of the following based on the protocol agreement: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes: Based on the protocol agreement, an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter are determined.

16. The method according to claim 13 or 14, characterized in that The method further comprises: Determine at least one parameter corresponding to each AI function based on the protocol agreement; Reporting first information to a network device, the first information comprising: a parameter value of at least one parameter supported by the terminal; wherein the first information is used by the network device to determine an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

17. The method according to claim 16, characterized in that The determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes: An identifier corresponding to the at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter are received from the network device.

18. The method according to claim 13, characterized in that The method further comprises: The terminal autonomously determines at least one parameter corresponding to each AI function supported by the terminal and a parameter of the at least one parameter; Reporting second information to the network device, the second information comprising: at least one parameter corresponding to each AI function supported by the terminal and a parameter value of the at least one parameter; wherein the second information is used by the network device to determine an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

19. The method according to claim 18, characterized in that The determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes: Receive an identifier corresponding to at least one AI function sent by the network device.

20. The method of claim 13, wherein: The determining at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter includes: The terminal autonomously determines an identifier corresponding to at least one AI function supported by the terminal, at least one parameter corresponding to each AI function, and a parameter of the at least one parameter.

21. The method of claim 20, wherein: The method further comprises: Reporting third information to the network device, the third information comprising: an identifier corresponding to at least one AI function supported by the terminal, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter; wherein the third information is used by the network device to determine an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter.

22. The method according to any one of claims 13 to 21, characterized in that: The method further comprises: Reporting a first identifier to a network device terminal, where the first identifier is an identifier corresponding to an AI function supported by the terminal; receiving fourth information sent by the network device, where the fourth information is used to manage the AI ​​function; The AI ​​function is managed based on the fourth information.

23. The method of claim 22, wherein: The AI ​​function management includes at least one of the following: Choice of AI functions; Configuration of AI functions; Switching of AI function.

24. The method according to claim 22 or 23, characterized in that The fourth information is used to indicate at least one of the following: An identifier corresponding to the AI ​​function selected by the network device; An identifier corresponding to the AI ​​function that needs to be activated on the terminal; The identifier corresponding to the target AI function to be switched by the terminal.

25. A communication method, characterized in that: Used in a communication system, the communication system includes a network device and a terminal, and the method includes at least one of the following: The network device determines at least one of the following: an identifier corresponding to at least one artificial intelligence (AI) function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter; wherein different AI functions correspond to different identifiers; different AI functions correspond to different parameters, and / or different AI functions correspond to different parameter values ​​of the same parameter; one or more AI functions correspond to the same AI feature, and the parameters corresponding to the AI ​​functions are used to implement the AI ​​features corresponding to the AI ​​functions; The terminal determines at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter; The terminal reports a first identifier to the network device terminal, where the first identifier is an identifier corresponding to the AI ​​function supported by the terminal; The network device receives a first identifier; The network device sends fourth information to the terminal, where the fourth information is used to manage the AI ​​function; The terminal receives fourth information sent by the network device; The terminal manages the AI ​​function based on the fourth information.

26. A network device comprising: a processing module, configured to determine at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter; Among them, different AI functions correspond to different identifiers; Different AI functions correspond to different parameters, and / or different AI functions correspond to different parameter values ​​of the same parameter; One or more AI functions correspond to the same AI feature, and the parameters corresponding to the AI ​​functions are used to implement the AI ​​features corresponding to the AI ​​functions.

27. A terminal, comprising: a processing module, configured to determine at least one of the following: an identifier corresponding to at least one AI function, at least one parameter corresponding to each AI function, and a parameter value of the at least one parameter; Among them, different AI functions correspond to different identifiers; Different AI functions correspond to different parameters, and / or different AI functions correspond to different parameter values ​​of the same parameter; One or more AI functions correspond to the same AI feature, and the parameters corresponding to the AI ​​functions are used to implement the AI ​​features corresponding to the AI ​​functions.

28. A communication device, characterized in that: include: one or more processors; The one or more processors are used to call instructions so that the communication device executes the communication method described in any one of claims 1-12 and 13-24.

29. A communication system, characterized in that: It comprises a terminal and a network device, wherein the terminal is configured to implement the communication method according to any one of claims 1 to 12, and the network device is configured to implement the communication method according to any one of claims 13 to 24.

30. A storage medium storing instructions, characterized in that: When the instruction is executed on a communication device, the communication device is caused to execute the communication method according to any one of claims 1-12 and 13-24.

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