Communication method, core network device, terminal, communication system, and storage medium

Abstract

Embodiments of the present disclosure relate to a communication method, a core network device, a terminal, a communication system, and a storage medium. The communication method may be executed by a first network element, and the method comprises: receiving first information, wherein the first information is used for indicating an artificial intelligence (AI) / machine learning (ML) capability of a terminal. By means of a first message used for indicating the AI capability or ML capability of the terminal, the present disclosure implements an AI / ML capability negotiation between the terminal and a network, so that the communication system can provide support for an AI service or an ML service, and the system performance is improved.

Description

Communication method, core network equipment, terminal, communication system and storage medium Technical Field

[0001] The present disclosure relates to the field of communication technology, and in particular to a communication method, core network equipment, a terminal, a communication system, and a storage medium. Background Art

[0002] Models such as artificial intelligence (AI) and machine learning (ML) models can be deployed in communication systems. Therefore, the communication systems need to provide support for the management, training, and application of these models.

[0003] Summary of the Invention

[0004] The lack of interaction between terminals and networks regarding AI / ML capabilities in communication systems results in an inability to support the AI / ML functional framework, impacting system performance.

[0005] The embodiments of the present disclosure provide a communication method, a core network device, a terminal, a communication system, and a storage medium.

[0006] According to a first aspect of an embodiment of the present disclosure, a communication method is proposed, which is executed by a first network element. The method includes: receiving first information, where the first information is used to indicate the artificial intelligence AI / machine learning ML capability of the terminal.

[0007] According to a second aspect of an embodiment of the present disclosure, a communication method is proposed, which is performed by a second network element. The method includes: sending first information, where the first information is used to indicate the AI / ML capability of the terminal.

[0008] According to a third aspect of an embodiment of the present disclosure, a communication method is proposed, which is executed by a terminal. The method includes: sending first information, where the first information is used to indicate the AI / ML capability of the terminal.

[0009] According to a fourth aspect of an embodiment of the present disclosure, a communication method is proposed, which is executed by a core network. The method includes: receiving first information from a terminal, where the first information is used to indicate the AI / ML capabilities of the terminal; and sending second information to the terminal, where the second information is used to indicate the AI / ML capabilities of the network side.

[0010] According to a fifth aspect of an embodiment of the present disclosure, a core network device is proposed, including: a first transceiver module, configured to receive first information, where the first information is used to indicate the AI / ML capability of the terminal.

[0011] According to a sixth aspect of an embodiment of the present disclosure, a core network device is proposed, including: a second transceiver module, configured to send first information, where the first information is used to indicate the AI / ML capability of the terminal.

[0012] According to a seventh aspect of an embodiment of the present disclosure, a terminal is proposed, including: a third transceiver module, configured to send first information, where the first information is used to indicate the AI / ML capability of the terminal.

[0013] According to an eighth aspect of an embodiment of the present disclosure, a core network device is proposed, comprising: one or more processors; wherein the core network device is used to execute the communication method of the first aspect and the second aspect.

[0014] According to a ninth aspect of an embodiment of the present disclosure, a terminal is proposed, comprising: one or more processors; wherein the terminal is configured to execute the communication method of the third aspect.

[0015] According to the tenth aspect of an embodiment of the present disclosure, a communication system is proposed, comprising a core network device and a terminal, wherein the core network device is configured to implement the communication method of the first and second aspects, and the terminal is configured to implement the communication method of the third aspect.

[0016] According to the eleventh aspect of the embodiment of the present disclosure, a storage medium is proposed, which stores instructions. When the instructions are executed on a core network device or terminal, the core network device or terminal executes a communication method as described in any one of the first, second, and third aspects.

[0017] According to the twelfth aspect of the embodiments of the present disclosure, a computer program product is proposed, including a computer program, which implements the communication method described in any one of the first, second and third aspects when executed by a processor.

[0018] According to a thirteenth aspect of an embodiment of the present disclosure, a computer program is proposed, which includes codes, and when the codes are executed by a processor, they implement the communication method described in any one of the first aspect, the second aspect and the third aspect.

[0019] According to a fourteenth aspect of the embodiments of the present disclosure, a chip or chip system is provided. The chip or chip system includes a processing circuit. The processing circuit is configured to execute the communication method as described in any one of the first, second, and third aspects.

[0020] The embodiment of the present disclosure implements AI / ML capability negotiation between the terminal and the network through a first message for indicating the artificial intelligence capability or machine learning capability of the terminal, facilitates the communication system to provide support for artificial intelligence services or machine learning services, and improves system performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following drawings required for describing the embodiments are introduced. The following drawings are merely some embodiments of the present disclosure and do not impose specific limitations on the protection scope of the present disclosure.

[0022] FIG1A is a schematic diagram of the architecture of a communication system provided according to an embodiment of the present disclosure.

[0023] FIG1B is a schematic diagram of an architecture of an implementation of a communication system provided according to an embodiment of the present disclosure.

[0024] FIG2A is a schematic diagram of an AI functional framework based on a communication system.

[0025] FIG2B is a schematic diagram of an ML model-based communication system providing architecture.

[0026] FIG3A is a schematic diagram showing a first interaction of a communication method according to an embodiment of the present disclosure.

[0027] FIG3B is a second interaction diagram of a communication method according to an embodiment of the present disclosure.

[0028] FIG3C is a third interaction diagram of the communication method according to an embodiment of the present disclosure.

[0029] FIG4A is a schematic diagram of a first flow chart showing a communication method executed by a first network element side according to an embodiment of the present disclosure.

[0030] FIG4B is a schematic diagram of a second flow chart of a communication method executed by a first network element side according to an embodiment of the present disclosure.

[0031] FIG4C is a schematic diagram of a third flow chart of a communication method executed by a first network element side according to an embodiment of the present disclosure.

[0032] FIG4D is a schematic diagram showing a flow chart of a communication method executed by a second network element side according to an embodiment of the present disclosure.

[0033] FIG4E is a flow chart showing a method for executing communication on a terminal side according to an embodiment of the present disclosure.

[0034] FIG5A is another schematic flow chart showing a communication method executed by a first network element side according to an embodiment of the present disclosure.

[0035] FIG5B is another schematic flow chart showing a communication method executed by a second network element side according to an embodiment of the present disclosure.

[0036] FIG5C is another schematic flow chart of a communication method executed on a terminal side according to an embodiment of the present disclosure.

[0037] FIG6A is a schematic structural diagram of a core network device proposed in an embodiment of the present disclosure.

[0038] FIG6B is another structural diagram of the core network device proposed in an embodiment of the present disclosure.

[0039] FIG6C is a schematic structural diagram of a terminal proposed in an embodiment of the present disclosure.

[0040] FIG7 is a schematic structural diagram of a communication device proposed in an embodiment of the present disclosure.

[0041] FIG8 is a schematic structural diagram of a chip proposed in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0042] The embodiments of the present disclosure provide a communication method, a terminal, a network device, a communication system, and a storage medium.

[0043] In a first aspect, an embodiment of the present disclosure provides a communication method, which is performed by a first network element. The method includes: receiving first information, where the first information is used to indicate the AI / ML capability of the terminal.

[0044] In an embodiment of the present disclosure, by using first information indicating the artificial intelligence capability or machine learning capability of the terminal, capability negotiation regarding AI / ML is achieved between the terminal and the network, which facilitates the communication system to provide support for artificial intelligence services or machine learning services and improve system performance.

[0045] In combination with some embodiments of the first aspect, in some embodiments, the first information includes at least one of the following: third information, the third information being used to indicate the terminal's support capability for AI / ML; and fourth information, the fourth information being used to indicate a first AI / ML model or a first AI / ML function supported by the terminal.

[0046] In combination with some embodiments of the first aspect, in some embodiments, the first information is carried in a first message, and the first message is a registration request message.

[0047] In the disclosed embodiment, the interaction between the terminal and the network regarding the capability information of artificial intelligence or machine learning can be carried out in the registration process, and the registration of artificial intelligence / machine learning and the interaction of capability information can be realized at the same time, thereby reducing signaling interaction and saving overhead.

[0048] In combination with some embodiments of the first aspect, in some embodiments, the communication method further includes: determining context information of AI / ML associated with the terminal based on the first information.

[0049] In the embodiment of the present disclosure, based on the first information indicating the AI / ML of the terminal, the context information of the AI / ML of the terminal is determined, which facilitates the network to manage the entire life cycle of the AI / ML of the terminal and improves system performance.

[0050] In combination with some embodiments of the first aspect, in some embodiments, the context information of the AI / ML associated with the terminal includes the first information.

[0051] In combination with some embodiments of the first aspect, in some embodiments, determining the context information of the AI / ML associated with the terminal based on the first information includes one of the following: creating the context information of the AI / ML associated with the terminal based on the first information; updating the context information of the AI / ML associated with the terminal based on the first information.

[0052] In combination with some embodiments of the first aspect, in some embodiments, the communication method further includes: sending second information, where the second information is used to indicate the AI / ML capabilities of the network side.

[0053] In an embodiment of the present disclosure, by using second information for indicating the artificial intelligence capability or machine learning capability of the network side, negotiation between the terminal and the network regarding their respective AI / ML capabilities is achieved, thereby facilitating the communication system to provide support for artificial intelligence services or machine learning services and improving system performance.

[0054] In combination with some embodiments of the first aspect, in some embodiments, the second information includes at least one of the following: fifth information, the fifth information is used to indicate the network side's support capability for AI / ML; sixth information, the sixth information is used to indicate a second AI / ML model or a second AI / ML function supported by the network side.

[0055] In combination with some embodiments of the first aspect, in some embodiments, the sixth information includes: identification information of the second AI / ML model and / or identification information of the second AI / ML function.

[0056] In combination with some embodiments of the first aspect, in some embodiments, the second AI / ML model is at least a part of the first AI / ML model, and the second AI / ML function is at least a part of the first AI / ML function.

[0057] In the embodiments of the present disclosure, when the network sends its own AI / ML capability information to the terminal, it can select at least one of the models / functions supported by the terminal from the received models / functions supported by the terminal for sending, thereby improving the effectiveness and efficiency of the interaction between the terminal and the network regarding the AI / ML capability information, and facilitating the terminal to perform AI / ML services more quickly.

[0058] In combination with some embodiments of the first aspect, in some embodiments, the second information further includes: seventh information, where the seventh information is used to indicate the latest version of the second AI / ML model or the latest version of the second AI / ML function.

[0059] In the disclosed embodiments, while the network is sending its own AI / ML capability information to the terminal, it also sends the latest version of the AI / ML model supported by the network or the latest version of the AI / ML function supported by the network, so that the terminal can improve the quality and efficiency of AI / ML services.

[0060] In combination with some embodiments of the first aspect, in some embodiments, the second information is carried in a second message, and the second message is a registration response message.

[0061] In the embodiments of the present disclosure, the AI / ML capability negotiation between the terminal and the network can be carried out in the registration process, reducing signaling interaction and saving overhead.

[0062] In combination with some embodiments of the first aspect, in some embodiments, the first network element is one of the following: a first core network network element, wherein the first core network network element is used to provide artificial intelligence management functions; a second core network network element, wherein the second core network network element is used to provide analysis data storage repository functions; a third core network network element, wherein the third core network network element is used to provide network data analysis functions; a fourth core network network element, wherein the fourth core network element is used to provide unified data management functions; and a fifth core network network element, wherein the fifth core network element is used to provide access and mobility management functions.

[0063] In combination with some embodiments of the first aspect, in some embodiments, the first network element is one of the first core network network element, the second core network network element, the third core network element and the fourth core network element, the first information is sent by the second network element, the second network element is the fifth core network element, and the fifth core network element is used to provide access and mobility management functions.

[0064] In combination with some embodiments of the first aspect, in some embodiments, the second information is sent to the second network element.

[0065] In combination with some embodiments of the first aspect, in some embodiments, the first network element is a fourth core network element, and the second network element is a fifth core network element; before receiving the first information, the method also includes: sending a third message, where the third message is used to indicate that the terminal is authorized to use AI / ML services.

[0066] In an embodiment of the present disclosure, during the interaction between the terminal and the network for information on artificial intelligence or machine learning capabilities, the network will also perform an authorization check process to determine the terminal's authorization information for AI / ML services.

[0067] In combination with some embodiments of the first aspect, in some embodiments, before sending the third message, the method further includes: receiving a fourth message, wherein the fourth message is used to request a query of the contract information of the AI / ML associated with the terminal, and the contract information is used to indicate the authorization status of the service of the AI / ML associated with the terminal.

[0068] In combination with some embodiments of the first aspect, in some embodiments, the first network element is a fifth core network element, and the first information is sent by the terminal.

[0069] In combination with some embodiments of the first aspect, in some embodiments, the second information is sent to the terminal.

[0070] In conjunction with some embodiments of the first aspect, in some embodiments, before receiving the first information, the method further includes:

[0071] Receive a third message, the third message is used to indicate that the terminal is authorized to use AI / ML services. In an embodiment of the present disclosure,

[0072] In combination with some embodiments of the first aspect, in some embodiments, before receiving the third message, the method further includes: sending a fourth message, wherein the fourth message is used to request a query of the contract information of the AI / ML associated with the terminal, and the contract information is used to indicate the authorization status of the service of the AI / ML associated with the terminal.

[0073] In a second aspect, an embodiment of the present disclosure proposes a communication method, which is performed by a second network element. The method includes: sending first information, where the first information is used to indicate the AI / ML capability of the terminal.

[0074] In an embodiment of the present disclosure, by using first information indicating the artificial intelligence capability or machine learning capability of the terminal, interaction of information about artificial intelligence or machine learning capabilities between the terminal and the network is achieved, thereby facilitating the communication system to provide support for artificial intelligence services or machine learning services and improving system performance.

[0075] In combination with some embodiments of the second aspect, in some embodiments, the first information includes at least one of the following: third information, the third information being used to indicate the terminal's support capability for AI / ML; and fourth information, the fourth information being used to indicate a first AI / ML model or a first AI / ML function supported by the terminal.

[0076] In combination with some embodiments of the second aspect, in some embodiments, the fourth information includes identification information of the first AI / ML model and / or identification information of the first AI / ML function.

[0077] In combination with some embodiments of the second aspect, in some embodiments, the first information is carried in a first message, and the first message is a registration request message.

[0078] In combination with some embodiments of the second aspect, in some embodiments, the communication method further includes: receiving second information, where the second information is used to indicate the AI / ML capabilities of the network side.

[0079] In combination with some embodiments of the second aspect, in some embodiments, the second information includes at least one of the following: fifth information, the fifth information is used to indicate the network side's support capability for AI / ML; sixth information, the sixth information is used to indicate a second AI / ML model or a second AI / ML function supported by the network side.

[0080] In combination with some embodiments of the second aspect, in some embodiments, the sixth information includes: identification information of the second AI / ML model and / or identification information of the second AI / ML function.

[0081] In combination with some embodiments of the second aspect, in some embodiments, the second AI / ML model is at least a part of the first AI / ML model, and the second AI / ML function is at least a part of the first AI / ML function.

[0082] In combination with some embodiments of the second aspect, in some embodiments, the second information further includes: seventh information, where the seventh information is used to indicate the latest version of the second AI / ML model or the latest version of the second AI / ML function.

[0083] In combination with some embodiments of the second aspect, in some embodiments, the second information is carried in a second message, and the second message is a registration response message.

[0084] In combination with some embodiments of the second aspect, in some embodiments, before sending the first information, the method further includes: receiving a third message, where the third message is used to indicate that the terminal is authorized to use AI / ML services.

[0085] In combination with some embodiments of the second aspect, in some embodiments, before receiving the third message, the method also includes: sending a fourth message, wherein the fourth message is used to request a query of the contract information of the AI / ML associated with the terminal, and the contract information is used to indicate the authorization status of the service of the AI / ML associated with the terminal.

[0086] In combination with some embodiments of the second aspect, in some embodiments, the second network element is a fifth core network element, and the fifth core network element is used to provide access and mobility management functions.

[0087] In combination with some embodiments of the second aspect, in some embodiments, before sending the first information, the method further includes: receiving a fifth message from the terminal, the fifth message carrying the first information, and the fifth message being a registration request message.

[0088] In combination with some embodiments of the second aspect, in some embodiments, the method further includes: sending a sixth message to the terminal, the sixth message carrying second information for indicating the AI / ML capabilities of the network side, and the sixth message being a registration response message.

[0089] In combination with some embodiments of the second aspect, in some embodiments, the first information is received by a first network element; the first network element is one of the following: a first core network network element, the first core network network element is used to provide artificial intelligence management functions; a second core network network element, the second core network network element is used to provide analysis data repository functions; a third core network network element, the third core network network element is used to provide network data analysis functions; a fourth core network network element, the fourth core network element is used to provide unified data management functions.

[0090] In combination with some embodiments of the second aspect, in some embodiments, the second information is sent by the first network element.

[0091] In a third aspect, an embodiment of the present disclosure proposes a communication method, which is executed by a terminal. The method includes: sending first information, where the first information is used to indicate the AI / ML capability of the terminal.

[0092] In an embodiment of the present disclosure, by using first information indicating the artificial intelligence capability or machine learning capability of the terminal, interaction of information about artificial intelligence or machine learning capabilities between the terminal and the network is achieved, thereby facilitating the communication system to provide support for artificial intelligence services or machine learning services and improving system performance.

[0093] In combination with some embodiments of the third aspect, in some embodiments, the first information includes at least one of the following: third information, the third information is used to indicate the terminal's support capability for AI / ML; fourth information, the fourth information is used to indicate the first AI / ML model or first AI / ML function supported by the terminal.

[0094] In combination with some embodiments of the third aspect, in some embodiments, the fourth information includes identification information of the first AI / ML model and / or identification information of the first AI / ML function.

[0095] In combination with some embodiments of the third aspect, in some embodiments, the first information is carried in a fifth message, and the fifth message is a registration request message.

[0096] In combination with some embodiments of the third aspect, in some embodiments, the communication method further includes: receiving second information, where the second information is used to indicate the AI / ML capabilities of the network side.

[0097] In combination with some embodiments of the third aspect, in some embodiments, the second information includes at least one of the following: fifth information, the fifth information is used to indicate the network side's support capability for AI / ML; sixth information, the sixth information is used to indicate a second AI / ML model or a second AI / ML function supported by the network side.

[0098] In combination with some embodiments of the third aspect, in some embodiments, the sixth information includes: identification information of the second AI / ML model and / or identification information of the second AI / ML function.

[0099] In combination with some embodiments of the third aspect, in some embodiments, the second AI / ML model is at least a part of the first AI / ML model, and the second AI / ML function is at least a part of the first AI / ML function.

[0100] In combination with some embodiments of the third aspect, in some embodiments, the second information further includes: seventh information, where the seventh information is used to indicate the latest version of the second AI / ML model or the latest version of the second AI / ML function.

[0101] In combination with some embodiments of the third aspect, in some embodiments, the second information is carried in a sixth message, and the sixth message is a registration response message.

[0102] In a fourth aspect, an embodiment of the present disclosure proposes a communication method, which is executed by a core network. The method includes: receiving first information from a terminal, where the first information is used to indicate the AI / ML capabilities of the terminal; and sending second information to the terminal, where the second information is used to indicate the AI / ML capabilities of the network side.

[0103] In a fifth aspect, an embodiment of the present disclosure proposes a core network device, applied to a first network element, including: a first transceiver module is configured to receive first information, where the first information is used to indicate the AI / ML capability of the terminal.

[0104] In combination with some embodiments of the fifth aspect, in some embodiments, the first information includes at least one of the following: third information, the third information being used to indicate the terminal's support capability for AI / ML; and fourth information, the fourth information being used to indicate a first AI / ML model or a first AI / ML function supported by the terminal.

[0105] In combination with some embodiments of the fifth aspect, in some embodiments, the fourth information includes identification information of the first AI / ML model and / or identification information of the first AI / ML function.

[0106] In combination with some embodiments of the fifth aspect, in some embodiments, the first information is carried in a first message, and the first message is a registration request message.

[0107] In combination with some embodiments of the fifth aspect, in some embodiments, the first transceiver module is further configured to determine context information of AI / ML associated with the terminal based on the first information.

[0108] In combination with some embodiments of the fifth aspect, in some embodiments, the context information of the AI / ML associated with the terminal includes the first information.

[0109] In combination with some embodiments of the fifth aspect, in some embodiments, the first transceiver module is further configured to perform one of the following: creating context information of the AI / ML associated with the terminal based on the first information; updating the context information of the AI / ML associated with the terminal based on the first information.

[0110] In combination with some embodiments of the fifth aspect, in some embodiments, the first transceiver module is further configured to send second information, where the second information is used to indicate the AI / ML capabilities of the network side.

[0111] In combination with some embodiments of the fifth aspect, in some embodiments, the second information includes at least one of the following: fifth information, the fifth information is used to indicate the network side's support capability for AI / ML; sixth information, the sixth information is used to indicate a second AI / ML model or a second AI / ML function supported by the network side.

[0112] In combination with some embodiments of the fifth aspect, in some embodiments, the sixth information includes: identification information of the second AI / ML model and / or identification information of the second AI / ML function.

[0113] In combination with some embodiments of the fifth aspect, in some embodiments, the second AI / ML model is at least a part of the first AI / ML model, and the second AI / ML function is at least a part of the first AI / ML function.

[0114] In combination with some embodiments of the fifth aspect, in some embodiments, the second information further includes: seventh information, where the seventh information is used to indicate the latest version of the second AI / ML model or the latest version of the second AI / ML function.

[0115] In combination with some embodiments of the fifth aspect, in some embodiments, the second information is carried in a second message, and the second message is a registration response message.

[0116] With reference to some embodiments of the fifth aspect, in some embodiments, the first network element is one of the following:

[0117] A first core network network element, wherein the first core network network element is used to provide an artificial intelligence management function;

[0118] a second core network network element, the second core network network element being configured to provide an analysis data storage repository function;

[0119] A third core network element, configured to provide a network data analysis function;

[0120] a fourth core network network element, the fourth core network network element being configured to provide a unified data management function;

[0121] The fifth core network network element is used to provide access and mobility management functions.

[0122] In combination with some embodiments of the fifth aspect, in some embodiments, the first network element is one of the first core network network element, the second core network network element, the third core network element and the fourth core network element, the first information is sent by the second network element, the second network element is the fifth core network element, and the fifth core network element is used to provide access and mobility management functions.

[0123] In combination with some embodiments of the fifth aspect, in some embodiments, the second information is sent to the second network element.

[0124] In combination with some embodiments of the fifth aspect, in some embodiments, the first network element is a fourth core network element, and the second network element is a fifth core network element; the first transceiver module is also configured to send a third message, and the third message is used to indicate that the terminal is authorized to use AI / ML services.

[0125] In combination with some embodiments of the fifth aspect, in some embodiments, the first transceiver module is further configured to receive a fourth message, wherein the fourth message is used to request a query of the contract information of the AI / ML associated with the terminal, and the contract information is used to indicate the authorization status of the service of the AI / ML associated with the terminal.

[0126] In combination with some embodiments of the fifth aspect, in some embodiments, the first network element is a fifth core network element, and the first information is sent by the terminal.

[0127] In combination with some embodiments of the fifth aspect, in some embodiments, the second information is sent to the terminal.

[0128] In combination with some embodiments of the fifth aspect, in some embodiments, the first transceiver module is further configured to receive a third message, where the third message is used to indicate that the terminal is authorized to use the AI / ML service.

[0129] In combination with some embodiments of the fifth aspect, in some embodiments, the first transceiver module is further configured to send a fourth message, wherein the fourth message is used to request a query of the contract information of the AI / ML associated with the terminal, and the contract information is used to indicate the authorization status of the service of the AI / ML associated with the terminal.

[0130] In a sixth aspect, an embodiment of the present disclosure proposes a core network device, applied to a second network element, including: a second transceiver module is configured to send first information, where the first information is used to indicate the AI / ML capability of the terminal.

[0131] In combination with some embodiments of the sixth aspect, in some embodiments, the first information includes at least one of the following: third information, the third information being used to indicate the terminal's support capability for AI / ML; and fourth information, the fourth information being used to indicate a first AI / ML model or a first AI / ML function supported by the terminal.

[0132] In combination with some embodiments of the sixth aspect, in some embodiments, the fourth information includes identification information of the first AI / ML model and / or identification information of the first AI / ML function.

[0133] In combination with some embodiments of the sixth aspect, in some embodiments, the first information is carried in a first message, and the first message is a registration request message.

[0134] In combination with some embodiments of the sixth aspect, in some embodiments, the second transceiver module is further configured to receive second information, where the second information is used to indicate the AI / ML capabilities of the network side.

[0135] In combination with some embodiments of the sixth aspect, in some embodiments, the second information includes at least one of the following: fifth information, the fifth information is used to indicate the network side's support capability for AI / ML; sixth information, the sixth information is used to indicate a second AI / ML model or a second AI / ML function supported by the network side.

[0136] In combination with some embodiments of the sixth aspect, in some embodiments, the sixth information includes: identification information of the second AI / ML model and / or identification information of the second AI / ML function.

[0137] In combination with some embodiments of the sixth aspect, in some embodiments, the second AI / ML model is at least a part of the first AI / ML model, and the second AI / ML function is at least a part of the first AI / ML function.

[0138] In combination with some embodiments of the sixth aspect, in some embodiments, the second information further includes: seventh information, where the seventh information is used to indicate the latest version of the second AI / ML model or the latest version of the second AI / ML function.

[0139] In combination with some embodiments of the sixth aspect, in some embodiments, the second information is carried in a second message, and the second message is a registration response message.

[0140] In combination with some embodiments of the sixth aspect, in some embodiments, the second transceiver module is further configured to receive a third message, where the third message is used to indicate that the terminal is authorized to use the AI / ML service.

[0141] In combination with some embodiments of the sixth aspect, in some embodiments, the second transceiver module is further configured to send a fourth message, wherein the fourth message is used to request a query of the contract information of the AI / ML associated with the terminal, and the contract information is used to indicate the authorization status of the service of the AI / ML associated with the terminal.

[0142] In combination with some embodiments of the sixth aspect, in some embodiments, the second network element is a fifth core network element, and the fifth core network element is used to provide access and mobility management functions.

[0143] In combination with some embodiments of the sixth aspect, in some embodiments, the second transceiver module is further configured to receive a fifth message from the terminal, where the fifth message carries the first information, and the fifth message is a registration request message.

[0144] In combination with some embodiments of the sixth aspect, in some embodiments, the second transceiver module is further configured to send a sixth message to the terminal, wherein the sixth message carries second information for indicating the AI / ML capabilities of the network side, and the sixth message is a registration response message.

[0145] In combination with some embodiments of the sixth aspect, in some embodiments, the first information is received by a first network element; the first network element is one of the following: a first core network network element, the first core network network element is used to provide artificial intelligence management functions; a second core network network element, the second core network network element is used to provide analysis data repository functions; a third core network network element, the third core network network element is used to provide network data analysis functions; a fourth core network network element, the fourth core network element is used to provide unified data management functions.

[0146] In combination with some embodiments of the sixth aspect, in some embodiments, the second information is sent by the first network element.

[0147] In a seventh aspect, an embodiment of the present disclosure proposes a terminal, including: a third transceiver module is configured to send first information, where the first information is used to indicate the AI / ML capability of the terminal.

[0148] In combination with some embodiments of the seventh aspect, in some embodiments, the first information includes at least one of the following: third information, the third information being used to indicate the terminal's support capability for AI / ML; and fourth information, the fourth information being used to indicate a first AI / ML model or a first AI / ML function supported by the terminal.

[0149] In combination with some embodiments of the seventh aspect, in some embodiments, the fourth information includes identification information of the first AI / ML model and / or identification information of the first AI / ML function.

[0150] In combination with some embodiments of the seventh aspect, in some embodiments, the first information is carried in a fifth message, and the fifth message is a registration request message.

[0151] In combination with some embodiments of the seventh aspect, in some embodiments, the third transceiver module is further configured to receive second information, where the second information is used to indicate the AI / ML capabilities of the network side.

[0152] In combination with some embodiments of the seventh aspect, in some embodiments, the second information includes at least one of the following: fifth information, the fifth information is used to indicate the network side's support capability for AI / ML; sixth information, the sixth information is used to indicate a second AI / ML model or a second AI / ML function supported by the network side.

[0153] In combination with some embodiments of the seventh aspect, in some embodiments, the sixth information includes: identification information of the second AI / ML model and / or identification information of the second AI / ML function.

[0154] In combination with some embodiments of the sixth aspect, in some embodiments, the second AI / ML model is at least a part of the first AI / ML model, and the second AI / ML function is at least a part of the first AI / ML function.

[0155] In combination with some embodiments of the seventh aspect, in some embodiments, the second information further includes: seventh information, where the seventh information is used to indicate the latest version of the second AI / ML model or the latest version of the second AI / ML function.

[0156] In combination with some embodiments of the seventh aspect, in some embodiments, the second information is carried in a sixth message, and the sixth message is a registration response message.

[0157] In an eighth aspect, an embodiment of the present disclosure proposes a core network device, comprising: one or more processors; wherein the core network device is used to execute the communication methods of the first and second aspects.

[0158] In a ninth aspect, an embodiment of the present disclosure proposes a terminal, comprising: one or more processors; wherein the terminal is used to execute the communication method of the third aspect.

[0159] In the tenth aspect, an embodiment of the present disclosure proposes a communication system, comprising: a terminal and a core network device; wherein the core network device is configured to execute the method described in the optional implementation of the first and second aspects, and the terminal is configured to execute the method described in the optional implementation of the third aspect.

[0160] In the eleventh aspect, an embodiment of the present disclosure proposes a storage medium, which stores instructions. When the instructions are executed on a core network device or terminal, the core network device or terminal executes the method described in the optional implementation of the first, second and third aspects.

[0161] In the twelfth aspect, an embodiment of the present disclosure proposes a program product. When the program product is executed by a core network device or a terminal, the core network device or the terminal executes the method described in the optional implementation of the first aspect, the second aspect and the third aspect.

[0162] In a thirteenth 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 optional implementation of the first, second and third aspects.

[0163] In a fourteenth aspect, an embodiment of the present disclosure provides a chip or a chip system, which includes a processing circuit configured to execute the method described in the optional implementation of the first, second, and third aspects above.

[0164] It is understandable that the above-mentioned core network devices, terminals, communication systems, storage media, program products, computer programs, chips, or chip systems are all used to perform 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.

[0165] The present disclosure provides a communication method, core network device, terminal, communication system, and storage medium. In some embodiments, the terms "communication method" and "information processing method," "registration method," "model registration method," and "service registration method" are interchangeable, and the terms "information processing system," "communication system," and "registration system" are interchangeable.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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.

[0170] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0171] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0172] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

[0173] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.

[0174] 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.

[0175] 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.

[0176] 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.

[0177] 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.

[0178] 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.

[0179] In some embodiments, "network" can be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

[0180] In some embodiments, the terms "network devices", "access network device (AN device)", "radio access network device (RAN device)", "base station (BS)", "radio base station" "fixed station", "node", "access network node", "access point", "transmission point (TP)", "reception point (RP)", "transmission and / or reception point (TRP)" "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femtocell", "picocell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)" and the like may be used interchangeably.

[0181] 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.

[0182] 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, device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, it is also possible to set the structure in which the terminal has all or part of the functions of the access network device. In addition, terms such as "uplink" and "downlink" can also be replaced by terms 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.

[0183] 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.

[0184] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0185] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0186] 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.

[0187] As shown in FIG1A , a communication system 100 includes a terminal 101 , an access network device 102 , and a core network device 103 .

[0188] In some embodiments, the terminal 101 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.

[0189] In some embodiments, the access network device 102 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 Wi-Fi system, but is not limited thereto.

[0190] 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.

[0191] In some embodiments, the access network device 102 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.

[0192] In some embodiments, the core network device 103 may be a single device including a first core network element, a second core network element, a third core network element, a fourth core network element, a fifth core network element, etc., or may be a plurality of devices or a group of devices including all or part of the first core network element, the second core network element, the third core network element, the fourth core network element, the fifth core network element, etc. The network element may be virtual or physical. The core network may include, for example, at least one of an evolved packet core (EPC), a 5G core network (5GCN), and a next generation core (NGC).

[0193] In some embodiments, the first core network element may be, for example, an AI management function (AIMF).

[0194] In some embodiments, the first core network element can be used to implement management and monitoring of the AI ​​model, and the name is not limited thereto.

[0195] In some embodiments, the second core network element may be, for example, an analytics data repository function (ADRF).

[0196] In some embodiments, the second core network element can be used to store collected data and analysis, and store AI models, without limitation.

[0197] In some embodiments, the third core network element may be, for example, a network data analytics function (NWDAF).

[0198] In some embodiments, the third core network element can be used to support data collection and implement AI model updates, and the name is not limited to this.

[0199] In some embodiments, the fourth core network element may be, for example, a unified data management function (UDM).

[0200] In some embodiments, the fourth core network element can be used to complete user identification processing, access authorization based on subscription data, service network function registration management of the terminal (for example, storing services AMF for UE, storing services SMF for UE's PDU session storage), supporting service / session continuity, etc., and the name is not limited to this.

[0201] In some embodiments, the fifth core network element may be, for example, an access and mobility management function (AMF).

[0202] In some embodiments, the fifth core network element can be used to complete mobility management, non-access stratum mobility management (NAS MM) signaling processing, NAS session management (SM) signaling routing, security anchor point and security context management, etc., and the name is not limited to this.

[0203] In some embodiments, at least one of the above-mentioned core network elements may be independent of the core network device 103 .

[0204] In some embodiments, the communication system 100 may be a 5G communication system. It should be noted that the communication system 100 may also be other communication systems, such as a 4G communication system or a 6G communication system, which is not specifically limited in the present disclosure.

[0205] In Figure 1B, the architecture of a communication system is exemplarily described by taking a 5G communication system as an example. Here, the access network device 101 may be a RAN.

[0206] Figure 1B is a schematic diagram of the architecture of an implementation of a communication system according to an embodiment of the present disclosure. As shown in Figure 1B, the architecture of the 5G communication system is presented in a service-based interface manner.

[0207] Namf is a service-based interface provided by the AMF. Nadrf is a service-based interface provided by the ADRF. Nnwdaf is a service-based interface provided by the NWDAF. Naimf is a service-based interface provided by the AIMF. Nudm is a service-based interface provided by the UDM. N2 is the anchor point between the AMF and the RAN. N1 is the anchor point between the AMF and the UE. Uu is the interface between the RAN and the UE.

[0208] 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 provided by 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 provided by the embodiment of the present disclosure is also applicable to similar technical problems.

[0209] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1A , or a portion thereof, but are not limited thereto. The entities shown in FIG1A are illustrative only. The communication system may include all or part of the entities shown in FIG1A , or may include other entities other than those shown in FIG1A . 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.

[0210] 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).

[0211] Based on AI network architectures, the integration of communication networks and AI technologies is progressing. In this process, data analysis through the NWDAF mechanism and AI / machine learning (ML) enable intelligent 5GC and air interfaces in data collection, machine learning (ML) model training, and analytical reasoning. By introducing 5GC support capabilities, the AIML system (AIMLsys) supports AI / ML operations at the application layer.

[0212] In some embodiments, the scope of AL services in the communication network can be expanded, thereby using AI / ML technology to realize the intelligence of 5GC and air interface, provide automation of the communication network and improve the efficiency of the 5G network architecture.

[0213] Figure 2A is a schematic diagram of an AI functional framework for a communication system. As shown in Figure 2A , an AI / ML functional framework for the NR air interface can be introduced for the RAN. This functional framework 2100 can include the following five functions: data collection function 2101, model training function 2102, management function 2103, inference function 2104, and model storage function 2105.

[0214] In some embodiments, data collection functionality 2101 is used to provide input data to model training, management, inference, and other functions. The data collected through data collection may include at least one of the following: training data, monitoring data, and inference data. Training data may be data provided to the model training functionality. Monitoring data may be data provided to the management functionality. Inference data may be data provided to the inference functionality.

[0215] In some embodiments, the model training function 2102 is used to implement AI / ML model training, verification, and testing. Here, as part of the model verification process, the model training function can generate model performance indicators. In some cases, the model training function can also be responsible for data preparation (e.g., data preprocessing and cleaning, formatting, and conversion) based on the training data from the data collection function. The model training function can provide the trained, verified, and tested model to the model storage function, or provide an updated version of the model to the model storage function.

[0216] In some embodiments, the management function 2103 is used to perform operational supervision (e.g., selection, activation, deactivation, switching, fallback) and monitoring (e.g., performance) of the model and its functions. In some embodiments, the management function may also be responsible for decision-making to ensure that appropriate reasoning operations are implemented based on data from the data collection function and the reasoning function. The management instructions of the management function can be information used to manage the reasoning function. This information may include the selection, activation, deactivation, switching, fallback to non-AI / ML operations, etc. of the model. The model transfer request of the management function can be used to request a model from the model storage function. The management function can provide performance feedback / retention requests to the model training function, for example, for training or updating the model.

[0217] In some embodiments, the reasoning function 2104 is used to provide the output of the process of applying the model or model function. This process can use the data provided by the data collection function (i.e., reasoning data) as input. In some embodiments, the reasoning function can also be responsible for data preparation (e.g., pre-processing and cleaning, formatting, and conversion of data) based on the training data from the data collection function. The output of the reasoning function can be used by the management function to monitor the performance of the model or model function.

[0218] In some embodiments, the model storage function 2105 can be used to store trained / updated models that can be used to perform inference. The model storage function can pass the model to the inference function.

[0219] Figure 2B is a schematic diagram of an ML model provisioning architecture based on a communication system. As shown in Figure 2B , in a 5G system architecture, NWDAF 2201 may include an analytics logical function (AnLF). The AnLF may provide services using a trained ML model from another NWDAF 2202. The other NWDAF may include a model training logical function (MTLF).

[0220] In some embodiments, AnLF can perform inference, obtain analytical information, and expose analytical services.

[0221] In some embodiments, the MTLF can train ML models and expose new training services (e.g., providing trained ML models).

[0222] The ML model provisioning architecture shown in Figure 2B needs to be able to support the functional framework 2100 shown in Figure 2A. In some scenarios, model-based reasoning can be implemented by access network equipment (e.g., base stations). This requires sending the model to the base station.

[0223] FIG3A is a first interaction diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG3A , the embodiment of the present disclosure relates to a communication method. The communication method includes steps S3101 to S3107.

[0224] In the embodiments of the present disclosure, an example is given in which the core network device includes a first network element, a second network element, and a third network element, and the access network device is a gNB.

[0225] In some embodiments, the first network element is one of the following: a first core network network element, used to provide artificial intelligence management function (e.g., AIMF), a second core network network element, used to provide analysis data repository function (e.g., ADRF), and a third core network network element, used to provide network data analysis function (e.g., NWDAF).

[0226] In some embodiments, the second network element is a fifth core network element, which is used to provide access and mobility management functions (e.g., AMF).

[0227] In some embodiments, the third network element is a fourth core network element, configured to provide a unified data management function (eg, UDM).

[0228] The following takes the first network element as the first core network element (AIMF) as an example to illustrate the AI / ML capability negotiation process between the terminal side and the network side. In the following steps, the steps that can be performed by AIMF can also be performed by ADRF or NWDAF.

[0229] In step S3101, the terminal sends a fifth message.

[0230] In some embodiments, the AMF receives the fifth message.

[0231] In some embodiments, the terminal sends a fifth message to the AMF through the gNB.

[0232] In some embodiments, the fifth message may be a registration request message (e.g., registration request) or an AI / ML registration request message (e.g., AI / ML registration request), or an AI registration request message (e.g., AI registration request) or an ML registration request message (e.g., ML registration request).

[0233] In some embodiments, the fifth message carries first information, where the first information is used to indicate the AI / ML capability of the terminal.

[0234] In one example, the first information is used to indicate the AI / ML capability of the terminal, for example, the first information is AI / ML information (eg, AI / ML information).

[0235] In one example, the first information is used to indicate the AI ​​capability of the terminal. For example, the first information may be AI information (eg, AI information).

[0236] In one example, the first information is used to indicate the ML capability of the terminal. For example, the first information may be ML information (eg, ML information).

[0237] In some embodiments, the first information includes at least one of third information indicating the terminal's support capability for AI / ML and fourth information indicating a first AI / ML model or a first AI / ML function supported by the terminal.

[0238] In one example, the third information is used to indicate the terminal's support capability for AI / ML. For example, the third information is AI / ML capabilities (e.g., AI / ML capabilities).

[0239] In one example, the third information is used to indicate the terminal's ability to support AI. For example, the third information is AI capabilities (e.g., AI capabilities).

[0240] In one example, the third information is used to indicate the terminal's support capability for ML. For example, the third information is ML capabilities (eg, AI capabilities).

[0241] In one example, the fourth information is used to indicate an AI / ML model supported by the terminal. For example, the fourth information is an AI / ML model (e.g., AI / ML model).

[0242] In one example, the fourth information is used to indicate an AI model supported by the terminal. For example, the fourth information is an AI model (eg, AI model).

[0243] In one example, the fourth information is used to indicate an ML model supported by the terminal. For example, the fourth information is an ML model (eg, ML model).

[0244] In some embodiments, the fourth information includes identification information of the first AI / ML model and / or identification information of the first AI / ML function.

[0245] In one example, the identification information of the first AI / ML model may be the ID of the first AI / ML model, for example, AI / ML model IDs.

[0246] In one example, the identification information of the first AI / ML function may be an ID of the first AI / ML function, such as AI functionality ID.

[0247] In step S3102, the AMF sends a fourth message.

[0248] In some embodiments, the UDM receives a fourth message.

[0249] In some embodiments, the fourth message is used to request to query the AI / ML subscription information of the terminal, where the subscription information is used to indicate the authorization status of the AI / ML service associated with the terminal.

[0250] In some embodiments, the subscription information may indicate whether the terminal has subscribed to the AI / ML service and whether the terminal has authorization to use the AI / ML service.

[0251] In one embodiment, when the UDM receives the fourth message, the UDM may query the AI / ML contract information of the terminal.

[0252] In some embodiments, when UDM queries the contract information of the terminal's AI / ML, UDM executes step S3103. When UDM does not query the contract information of the terminal's AI / ML, UDM may send a seventh message, which is used to indicate that the contract information of the terminal's AI / ML does not exist in the network.

[0253] In some embodiments, step S3102 may be omitted, that is, after step S3101, step S3102 may not be performed, and step S3103 may be performed directly.

[0254] In step S3103, the UDM sends a third message.

[0255] In some embodiments, the AMF receives the third message.

[0256] In some embodiments, the third message is used to indicate whether the terminal is authorized to use the first service.

[0257] In some embodiments, when the third message indicates that the terminal is not authorized to use the first service, steps S3104 to S3106 are not performed, and step S3107 is performed.

[0258] In some embodiments, when the third message indicates that the terminal is authorized to use the first service, step S3104 is performed.

[0259] In some embodiments, step S3102 and step S3103 may be omitted, that is, step S3104 may be directly executed after step S3101.

[0260] In step S3104, the AMF sends the first message.

[0261] In some embodiments, the AIMF receives the first message.

[0262] In some embodiments, the first message may be an AI registration request message (e.g., AI registration request), or an ML registration request message (e.g., AI registration request), or an AI model registration request message (e.g., AI model registration request), or an ML model registration request message (e.g., ML model registration request).

[0263] In some embodiments, the first message carries first information.

[0264] In some embodiments, step S3105 may also be omitted, that is, after step S3104, step S3105 is not executed and step S3106 is directly executed.

[0265] In step S3105 , the AIMF determines context information of the AI / ML associated with the terminal.

[0266] In some embodiments, the context information of the AI / ML associated with the terminal includes first information.

[0267] In an example, the AI / ML context information associated with the terminal (eg, UE AI / ML context) includes first information (AI / ML information).

[0268] In some embodiments, the AIMF may create AI / ML context information for the terminal based on the first information carried in the received first message.

[0269] In some embodiments, the AIMF updates the context information of the AI / ML of the terminal based on the first information carried in the received first message.

[0270] In some embodiments, step S3105 includes steps S31051 to S31055.

[0271] In step S31051, the AIMF sends the seventh message to the AMF.

[0272] In some embodiments, the seventh message is used to request identity information of the terminal.

[0273] In step S31052, the AMF sends a ninth message to the terminal.

[0274] In some embodiments, the ninth message is used to request identity information of the terminal.

[0275] In an example, the seventh message is an identity request message (eg, identity request).

[0276] In an example, the ninth message is an identity request message (eg, identity request).

[0277] In step S31053, the terminal sends the tenth message to AMF.

[0278] In some embodiments, the tenth message is used to respond to the identity request of the terminal.

[0279] In an example, the tenth message is an identity response message (eg, identity response).

[0280] In some embodiments, the tenth message carries eighth information, and the eighth information is used to indicate the identity of the terminal.

[0281] In one example, the eighth information is identity information of the terminal (eg, identity information).

[0282] In step S31054, the AMF sends the eighth message to the AIMF.

[0283] In some embodiments, the eighth message is used to respond to the identity request of the terminal.

[0284] In some embodiments, the eighth message carries eighth information.

[0285] In step S31055 , the AIMF creates / updates the context information of the AI / ML associated with the terminal.

[0286] In step S3106, the AIMF sends a second message to the AMF.

[0287] In some embodiments, the AMF receives the second message.

[0288] In some embodiments, the second message may be an AI registration response message (e.g., AI registration response), or an ML registration response message (e.g., ML registration response), or an AI model registration response message (e.g., AI model registration response), or an ML model registration response message (e.g., ML model registration response).

[0289] In some embodiments, the second message carries second information, and the second information is used to indicate the AI / ML capability of the network side.

[0290] In some embodiments, the second information includes at least one of fifth information and sixth information, the fifth information is used to indicate the network side's support capability for AI / ML; the sixth information is used to indicate a second AI / ML model or a second AI / ML function supported by the network side.

[0291] In some embodiments, the sixth information includes: identification information of the second AI / ML model and / or identification information of the second AI / ML function.

[0292] In some embodiments, step S3106 may be omitted and not executed. In this case, it can be understood that the terminal sends the AI ​​capability / ML capability of the terminal to the AIMF through the fifth message and the first message, and the AIMF does not respond, that is, the AIMF does not send the AI ​​capability / ML capability of the network to the terminal.

[0293] In some embodiments, when step S3106 is executed, it can be understood that the terminal sends the terminal's AI capability / ML capability (first information) to the AIMF through the fifth message and the first message, and the AIMF sends the network's AI / ML capability (second information) to the terminal. In other words, the AI / ML capability sent by the terminal itself and the AI / ML capability sent by the network side may be unrelated to each other, and the first information and the second information may be the same or different.

[0294] In some embodiments, when step S3106 is performed, the second AI / ML model in the second information is at least a portion of the first AI / ML model in the first information, and the second AI / ML function in the second information is at least a portion of the first AI / ML function in the first information.

[0295] At this point, it can be understood that the terminal sends the terminal's AI / ML capabilities to the AIMF through the fifth message and the first message. The AIMF selects at least a portion of the AI / ML models supported by the network from the first AI / ML models supported by the terminal as the second AI / ML model and sends it to the terminal. Alternatively, the AIMF selects at least a portion of the AI / ML functions supported by the network from the first AI / ML functions supported by the terminal as the second AI / ML functions and sends them to the terminal. In other words, the network side determines the second information based on the first information. That is, the second information is at least partially identical to the first information.

[0296] In some embodiments, the second information may further include seventh information, and the seventh information is used to indicate the latest version of the second AI / ML model or the latest version of the second AI / ML function. At this time, it can be understood that: in the case where the network side selects at least a part of the model supported by itself from the AI / ML models supported by the terminal as the second AI / ML model to be delivered, the AIMF can perform a version check on the selected model and send the latest version of the second AI / ML model; or, in the case where the network side selects at least a part of the function supported by itself from the AI / ML functions supported by the terminal as the second AI / ML function to be delivered, the AIMF can perform a version check on the selected function and send the latest version of the second AI / ML function.

[0297] In step S3107, the AMF sends the sixth message.

[0298] In some embodiments, the terminal receives a sixth message.

[0299] In some embodiments, the sixth message may be a registration response message (eg, registration response), or an AI registration response message (eg, AI registration response), or an ML registration response message (eg, ML registration response).

[0300] In some embodiments, the sixth message may carry second information, where the second information is used to indicate the AI / ML capability of the network side.

[0301] In one embodiment, when the third message indicates that the terminal is not authorized to use the first service, the sixth message is used to indicate that the AI / ML registration of the terminal has failed. In this case, the sixth message may be a registration reject message (eg, registration reject).

[0302] In some embodiments, in steps S3101 to S3107, steps S3101 and S3104 may be used to send the AI / ML capability information of the terminal to the network. Steps S3106 and S3107 may be used to send the AI / ML capability information of the network to the terminal.

[0303] In some embodiments, in the above steps S3101 to S3107, the AI / ML capability negotiation process between the terminal side and the network side can be carried out in the registration process or in other communication processes, without limitation.

[0304] The communication method involved in the embodiments of the present disclosure may include at least one of steps S3101 to S3107. For example, step S3101 can be implemented as an independent embodiment. For example, step S3102 can be implemented as an independent embodiment. For example, step S3103 can be implemented as an independent embodiment. For example, step S3104 can be implemented as an independent embodiment. For example, step S3105 can be implemented as an independent embodiment. For example, step S3106 can be implemented as an independent embodiment. For example, step S3107 can be implemented as an independent embodiment.

[0305] For example, the combination of step S3102 and step S3103 can be implemented as an independent embodiment. The combination of step S3104 and step S3106 can be implemented as an independent embodiment. For example, the combination of step S3104, step S3105, and step S3106 can be implemented as an independent embodiment. For example, the combination of step S3103, step S3104, and step S3106 can be implemented as an independent embodiment. For example, the combination of step S3101, step S3104, step S3106, and step S3107 can be implemented as an independent embodiment. For example, the combination of step S3103, step S3104, step S3105, and step S3106 can be implemented as an independent embodiment. For example, the combination of step S3101, step S3103, step S3104, step S3105, step S3106, and step S3107 can be implemented as an independent embodiment. For example, a combination of step S3101, step S3104, step S3105, step S3106, and step S3107 may be implemented as an independent embodiment, but is not limited thereto.

[0306] In some embodiments, step S3102, step S3103, and step S3105 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0307] FIG3B is a second interaction diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG3B , an embodiment of the present disclosure relates to a communication method. The communication method includes steps S3201 to S3205.

[0308] In the embodiments of the present disclosure, an example is given in which the core network device includes a first network element and a third network element, and the access network device is a gNB.

[0309] In some embodiments, the first network element is a fifth core network element, configured to provide an access and mobility management function (AMF).

[0310] In some embodiments, the third network element is a fourth core network element, configured to provide a unified data management function (UDM).

[0311] In step S3201, the terminal sends a fifth message.

[0312] The optional implementation of step S3201 can refer to the optional implementation of step S3101 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0313] In step S3202, the AMF sends the fourth message.

[0314] The optional implementation of step S3202 can refer to the optional implementation of step S3102 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0315] In step S3203, the UDM sends a third message.

[0316] The optional implementation of step S3203 can refer to the optional implementation of step S3103 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0317] In step S3204, the AMF determines the context information of the AI / ML associated with the terminal.

[0318] In some embodiments, step S3204 includes steps S32041 to S32042.

[0319] In step S32041, the AMF sends a ninth message to the terminal.

[0320] In some embodiments, the ninth message is used to request identity information of the terminal.

[0321] In an example, the seventh message is an identity request message (eg, identity request).

[0322] In an example, the ninth message is an identity request message (eg, identity request).

[0323] In step S32042, the terminal sends the tenth message to the AMF.

[0324] In some embodiments, the tenth message is used to respond to the identity request of the terminal.

[0325] In an example, the tenth message is an identity response message (eg, identity response).

[0326] In some embodiments, the tenth message carries eighth information, and the eighth information is used to indicate the identity of the terminal.

[0327] In one example, the eighth information is identity information of the terminal (eg, identity information).

[0328] In step S32043, the AIMF creates / updates the context information of the AI / ML associated with the terminal.

[0329] The optional implementation of step S3204 can refer to the optional implementation of step S3105 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0330] In step S3205, the AMF sends the sixth message.

[0331] The optional implementation of step S3205 can refer to the optional implementation of step S3107 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0332] In some embodiments, in steps S3201 to S3205 above, step S3201 may be used to report the AI / ML capability information of the terminal to the network, and step S3205 may be used to send the AI / ML capability information of the network to the terminal.

[0333] The communication method involved in the embodiments of the present disclosure may include at least one of steps S3201 to S3205. For example, step S3201 can be implemented as an independent embodiment. For example, step S3202 can be implemented as an independent embodiment. For example, step S3203 can be implemented as an independent embodiment. For example, step S3204 can be implemented as an independent embodiment. For example, step S3205 can be implemented as an independent embodiment.

[0334] For example, the combination of step S3202 and step S3203 can be implemented as an independent embodiment. The combination of step S3201 and step S3205 can be implemented as an independent embodiment. For example, the combination of step S3201, step S3204, and step S3205 can be implemented as an independent embodiment. For example, the combination of step S3203, step S3204, and step S3205 can be implemented as an independent embodiment. For example, the combination of step S3201, step S3203, step S3204, and step S3205 can be implemented as an independent embodiment. However, this is not limited to this.

[0335] In some embodiments, step S3202, step S3203, and step S3204 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0336] FIG3C is a third interaction diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG3C , an embodiment of the present disclosure relates to a communication method. The communication method includes steps S3301 to S3307.

[0337] In the embodiments of the present disclosure, an example is given in which a core network device includes a first network element and a second network element, and an access network device is a gNB.

[0338] In some embodiments, the first network element is a fourth core network element, configured to provide a unified data management (UDM) function.

[0339] In some embodiments, the second network element is a fifth core network element, configured to provide an access and mobility management function (AMF).

[0340] In step S3301, the terminal sends the fifth message.

[0341] The optional implementation of step S3301 can refer to the optional implementation of step S3101 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0342] In step S3302, the AMF sends the fourth message.

[0343] The optional implementation of step S3302 can refer to the optional implementation of step S3102 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0344] In step S3303, the UDM sends a third message.

[0345] The optional implementation of step S3303 can refer to the optional implementation of step S3103 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0346] In step S3304, the AMF sends the first message.

[0347] The optional implementation of step S3304 can refer to the optional implementation of step S3104 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0348] In step S3305 , the UDM determines the context information of the AI / ML associated with the terminal.

[0349] In some embodiments, step S3305 includes steps S33051 to S33055.

[0350] In step S33051, the AIMF sends the seventh message to the AMF.

[0351] In some embodiments, the seventh message is used to request identity information of the terminal.

[0352] In step S33052, the AMF sends a ninth message to the terminal.

[0353] In some embodiments, the ninth message is used to request identity information of the terminal.

[0354] In an example, the seventh message is an identity request message (eg, identity request).

[0355] In an example, the ninth message is an identity request message (eg, identity request).

[0356] In step S33053, the terminal sends the tenth message to AMF.

[0357] In some embodiments, the tenth message is used to respond to the identity request of the terminal.

[0358] In an example, the tenth message is an identity response message (eg, identity response).

[0359] In some embodiments, the tenth message carries eighth information, and the eighth information is used to indicate the identity of the terminal.

[0360] In one example, the eighth information is identity information of the terminal (eg, identity information).

[0361] In step S33054, the AMF sends the eighth message to the AIMF.

[0362] In some embodiments, the eighth message is used to respond to the identity request of the terminal.

[0363] In some embodiments, the eighth message carries eighth information.

[0364] In step S33055, the AIMF creates / updates the context information of the AI / ML associated with the terminal.

[0365] The optional implementation of step S3305 can refer to the optional implementation of step S3105 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0366] In step S3306, the UDM sends a second message.

[0367] The optional implementation of step S3306 can refer to the optional implementation of step S3106 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0368] In step S3307, the AMF sends the sixth message.

[0369] The optional implementation of step S3307 can refer to the optional implementation of step S3107 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0370] In the above steps S3301 to S3307, steps S3301 and S3304 can be used to report the terminal's AI / ML capability information to the network. Steps S3306 and S3307 can be used to send the network's AI / ML capability information to the terminal.

[0371] The communication method involved in the embodiments of the present disclosure may include at least one of steps S3301 to S3307. For example, step S3301 can be implemented as an independent embodiment. For example, step S3302 can be implemented as an independent embodiment. For example, step S3303 can be implemented as an independent embodiment. For example, step S3304 can be implemented as an independent embodiment. For example, step S3305 can be implemented as an independent embodiment. For example, step S3306 can be implemented as an independent embodiment. For example, step S3307 can be implemented as an independent embodiment.

[0372] For example, the combination of step S3302 and step S3303 can be implemented as an independent embodiment. The combination of step S3304 and step S3306 can be implemented as an independent embodiment. For example, the combination of step S3304, step S3305, and step S3306 can be implemented as an independent embodiment. For example, the combination of step S3303, step S3304, and step S3306 can be implemented as an independent embodiment. For example, the combination of step S3301, step S3304, step S3306, and step S3307 can be implemented as an independent embodiment. For example, the combination of step S3303, step S3304, step S3305, and step S3306 can be implemented as an independent embodiment. For example, the combination of step S3301, step S3303, step S3304, step S3305, step S3306, and step S3307 can be implemented as an independent embodiment. For example, a combination of step S3301, step S3304, step S3305, step S3306, and step S3307 may be implemented as an independent embodiment, but is not limited thereto.

[0373] In some embodiments, step S3302, step S3303, and step S3305 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0374] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codeword", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0375] In some embodiments, the terms "AI / ML", "AI", "ML", etc. can be used interchangeably.

[0376] In some embodiments, the terms "carry", "include", "contain", "encapsulate", etc. can be used interchangeably.

[0377] In some embodiments, the terms "radio", "wireless", "radio access network (RAN)", "access network (AN)", "RAN-based" and the like may be used interchangeably.

[0378] In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.

[0379] In some embodiments, terms such as "send", "transmit", "report", "transmit", "request", "bidirectional transmission", "send and / or receive" and the like can be used interchangeably.

[0380] In some embodiments, terms such as "send", "return", "feedback", "response", and "answer" can be used interchangeably.

[0381] In some embodiments, terms such as "certain", "preset", "preset", "setting", "indicated", "a certain", "any", and "first" can be interchangeable. "Specific A", "preset A", "preset A", "setting A", "indicated A", "a certain A", "any A", and "first A" can be interpreted as A pre-specified in a protocol, etc., or as A obtained through setting, configuration, or indication, etc., or as specific A, a certain A, any A, or first A, etc., but not limited to this.

[0382] In some embodiments, the determination or judgment can be performed by a value represented by 1 bit (0 or 1), or by a true or false value (Boolean value) represented by true or false, or by comparison of numerical values ​​(for example, comparison with a predetermined value), but is not limited thereto.

[0383] Figure 4A is a schematic diagram of a first implementation flow of a communication method performed by a first network element according to an embodiment of the present disclosure. As shown in Figure 4A, the present embodiment relates to a communication method performed by a first network element. The communication method includes steps S4101 to S4103.

[0384] In some embodiments, the first network element is one of the following:

[0385] The first core network element is used to provide artificial intelligence management function (AIMF).

[0386] The second core network element is used to provide an analysis data repository function (ADRF).

[0387] The third core network element is used to provide the network data analysis function (NWDAF).

[0388] In step S4101, a first message is received.

[0389] The optional implementation of step S4101 can refer to the optional implementation of step S3104 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0390] In step S4102 , context information of AI / ML associated with the terminal is determined.

[0391] The optional implementation of step S4102 can refer to the optional implementation of step S3105 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0392] In step S4103, a second message is sent.

[0393] The optional implementation of step S4103 can refer to the optional implementation of step S3106 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0394] As shown in Figure 4B, Figure 4B is a schematic diagram of a second implementation flow of a communication method performed by a first network element according to an embodiment of the present disclosure. The present embodiment of the present disclosure relates to a communication method, which is performed by a first network element. The above communication method includes steps S4201 to S4205.

[0395] In some embodiments, the first network element is a fifth core network element, configured to provide an access and mobility management function (AMF).

[0396] In step S4201, the fifth message is received.

[0397] The optional implementation of step S4201 can refer to the optional implementation of step S3201 in Figure 3B and other related parts in the embodiment involved in Figure 3B, which will not be repeated here.

[0398] In step S4202, the fourth message is sent.

[0399] The optional implementation of step S4202 can refer to the optional implementation of step S3202 in Figure 3B and other related parts in the embodiment involved in Figure 3B, which will not be repeated here.

[0400] In step S4203, a third message is received.

[0401] The optional implementation of step S4203 can refer to the optional implementation of step S3203 in Figure 3B and other related parts in the embodiment involved in Figure 3B, which will not be repeated here.

[0402] In step S4204, context information of AI / ML associated with the terminal is determined.

[0403] The optional implementation of step S4204 can refer to the optional implementation of step S3204 in Figure 3B and other related parts in the embodiment involved in Figure 3B, which will not be repeated here.

[0404] In step S4205, the sixth message is sent.

[0405] The optional implementation of step S4205 can refer to the optional implementation of step S3205 in Figure 3B and other related parts in the embodiment involved in Figure 3B, which will not be repeated here.

[0406] As shown in Figure 4C, Figure 4C is a schematic diagram of a third implementation flow of a communication method performed by a first network element according to an embodiment of the present disclosure. The present embodiment of the present disclosure relates to a communication method performed by a first network element. The above communication method includes steps S4301 to S4305.

[0407] In some embodiments, the first network element is a fourth core network element, configured to provide a unified data management (UDM) function.

[0408] In step S4301, the fourth message is received.

[0409] The optional implementation of step S4301 can refer to the optional implementation of step S3302 in Figure 3C and other related parts in the embodiment involved in Figure 3C, which will not be repeated here.

[0410] In step S4302, a third message is sent.

[0411] The optional implementation of step S4302 can refer to the optional implementation of step S3303 in Figure 3C and other related parts in the embodiment involved in Figure 3C, which will not be repeated here.

[0412] In step S4303, a first message is received.

[0413] The optional implementation of step S4303 can refer to the optional implementation of step S3304 in Figure 3C and other related parts in the embodiment involved in Figure 3C, which will not be repeated here.

[0414] In step S4304, context information of AI / ML associated with the terminal is determined.

[0415] The optional implementation of step S4304 can refer to the optional implementation of step S3305 in Figure 3C and other related parts in the embodiment involved in Figure 3C, which will not be repeated here.

[0416] In step S4305, the second message is sent.

[0417] The optional implementation of step S4305 can refer to the optional implementation of step S3306 in Figure 3C and other related parts in the embodiment involved in Figure 3C, which will not be repeated here.

[0418] Figure 4D is a schematic diagram of an implementation flow of a second network element executing a communication method according to an embodiment of the present disclosure. As shown in Figure 4D, the embodiment of the present disclosure relates to a communication method, which is executed by a second network element. The above communication method includes steps S4401 to S4406.

[0419] In some embodiments, the second network element is a fifth core network element, configured to provide an access and mobility management function (AMF).

[0420] In step S4401, the fifth message is received.

[0421] The optional implementation of step S4401 can refer to the optional implementation of step S3101 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0422] In step S4402, the fourth message is sent.

[0423] The optional implementation of step S4402 can refer to the optional implementation of step S3102 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0424] In step S4403, a third message is received.

[0425] The optional implementation of step S4403 can refer to the optional implementation of step S3103 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0426] In step S4404, a first message is sent.

[0427] The optional implementation of step S4404 can refer to the optional implementation of step S3104 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0428] In step S4405, a second message is received.

[0429] The optional implementation of step S4405 can refer to the optional implementation of step S3106 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0430] In step S4406, the sixth message is sent.

[0431] The optional implementation of step S4406 can refer to the optional implementation of step S3107 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0432] FIG4E is a schematic diagram of an implementation flow of a terminal executing 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, which is executed by a terminal. The communication method includes steps S601 to S602.

[0433] In step S4501, the fifth message is sent.

[0434] The optional implementation of step S4501 can refer to the optional implementation of step S3101 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0435] In step S4502, the sixth message is received.

[0436] The optional implementation of step S4502 can refer to the optional implementation of step S3107 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0437] Figure 5A is a schematic diagram of another implementation flow of a first network element executing a communication method according to an embodiment of the present disclosure. As shown in Figure 5A, the embodiment of the present disclosure relates to a communication method, which is executed by a first network element. The above communication method includes steps S5101 to S5102.

[0438] In step S5101, a first message is received.

[0439] The optional implementation of step S5101 can refer to the optional implementation of step S3104 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0440] In some embodiments, the above method may include the method described in the above embodiments on the first network element side, etc., which will not be repeated here.

[0441] Figure 5B is a schematic diagram of another implementation flow of a second network element executing a communication method according to an embodiment of the present disclosure. As shown in Figure 5A, the embodiment of the present disclosure relates to a communication method, which is executed by a second network element. The above communication method includes steps S5101 to S5102.

[0442] In step S5201, a first message is sent.

[0443] The optional implementation of step S5201 can refer to the optional implementation of step S3104 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0444] In some embodiments, the above method may include the method described in the above embodiments on the second network element side, etc., which will not be repeated here.

[0445] FIG5C is a schematic diagram of an implementation flow of a terminal executing a communication method according to an embodiment of the present disclosure. As shown in FIG5B , the embodiment of the present disclosure relates to a communication method, which is executed by a terminal. The communication method includes step S5201.

[0446] In step S5301, the fifth message is sent.

[0447] The optional implementation of step S5301 can refer to the optional implementation of step S3101 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0448] In some embodiments, the above method may include the method described in the above embodiments on the terminal side, etc., which will not be repeated here.

[0449] In some embodiments, as shown in Figure 3A, the UE sends a registration request to the AMF through the gNB, where the registration request includes first information indicating the AI / ML capability of the terminal.

[0450] In some embodiments, the first information includes at least one of the following: the terminal's support capability for AI / ML, the AI / ML model ID supported by the terminal, and the AI / ML function ID supported by the terminal. All of this information can be included in an AI / ML container.

[0451] In some embodiments, the AMF sends a fourth message to the UDM, where the fourth message is used to check whether the UE has subscribed to the AI / ML service and has authorization to use the AI / ML related services.

[0452] In some embodiments, if the UE has not subscribed to AI / ML related services, the UDM sends a third message to the AMF, and the third message may indicate that the UE is not authorized to use the AI / ML related services.

[0453] In some embodiments, when the third message indicates that the UE is authorized to use AI / ML related services, the AMF sends an AI / ML model registration message to the AIMF, where the AI / ML model registration message includes the first information.

[0454] In some embodiments, the AIMF creates a UE AI / ML context, where the UE AI / ML context includes the first information.

[0455] In some embodiments, the AIMF sends an AI model registration response message to the AMF, where the AI ​​model registration response message includes second information, where the second information is used to indicate the AI / ML capabilities of the network.

[0456] In some embodiments, the second information includes at least one of the following: the network's support capability for AI / ML, the AI / ML model ID supported by the network, the AI / ML function ID supported by the terminal, the latest version of the AI / ML model supported by the network, and the latest version of the AI / ML function supported by the terminal.

[0457] In some embodiments, the network side checks whether the AI / ML model ID and AI / ML function ID reported by the terminal are the latest versions.

[0458] In some embodiments, the AMF sends a registration accept message to the UE through the gNB, where the registration accept message includes the second information.

[0459] The embodiments of the present disclosure further provide a device for implementing any of the above methods, for example, a terminal including units or modules for implementing each step performed by the terminal in any of the above methods. For another example, another network device is provided, including 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.

[0460] 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.

[0461] 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.

[0462] Figure 6A is a structural diagram of a core network device proposed in an embodiment of the present disclosure. As shown in Figure 6A, the core network device 6100 may include: a first transceiver module 6101. In some embodiments, the first transceiver module 6101 is used to receive first information, and the first information is used to indicate the AI / ML capability of the terminal. In some embodiments, the above-mentioned first transceiver module 6101 is used to perform at least one of the communication steps such as sending and / or receiving performed by the core network device in any of the above methods (for example, step S4101, step S4102, step S4103, step S4201, step S4202, step S4203, step S4204, step S4205, but not limited to this), which will not be repeated here.

[0463] Figure 6B is an exemplary structural diagram of a core network device provided according to an embodiment of the present disclosure. As shown in Figure 6B, the core network device 6200 may include a second transceiver module 6201. In some embodiments, the second transceiver module 6201 may be configured to send first information, where the first information is used to indicate the AI / ML capability of the terminal. In some embodiments, the second transceiver module 6201 may be configured to perform at least one of the communication steps such as sending and / or receiving performed by the core network device in any of the above methods (for example, step S4401, step S4402, step S4403, step S4404, step S4405, step S4406, but not limited thereto), which will not be repeated here.

[0464] Figure 6C is an exemplary structural diagram of a terminal provided according to an embodiment of the present disclosure. As shown in Figure 6C, the terminal 6300 may include a second transceiver module 6301. In some embodiments, the third transceiver module 6301 may be configured to send first information, where the first information is used to indicate the AI / ML capability of the terminal. In some embodiments, the third transceiver module 6301 may be configured to perform at least one of the communication steps such as sending and / or receiving performed by the terminal in any of the above methods (for example, step S4501, step S4502, but not limited thereto), which will not be repeated here.

[0465] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module. The transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

[0466] Figure 7 is a schematic diagram of the structure of a communication device provided according to an embodiment of the present disclosure. Communication device 7100 can be a core network device, a terminal (e.g., user equipment), 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.

[0467] As shown in Figure 7, 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 the communication protocol 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. Optionally, the communication device 7100 is used to perform any of the above methods. Optionally, one or more processors 7101 are used to call instructions to enable the communication device 7100 to perform any of the above methods.

[0468] In some embodiments, the communication device 7100 further includes one or more transceivers 7102. When the communication device 7100 includes one or more transceivers 7102, the transceiver 7102 performs at least one of the communication steps (e.g., step S3101, step S3102, step S3103, step S3104, step S3106, step S3107, but not limited thereto) of transmitting and / or receiving in the above method, and the processor 7100 performs at least one of the other steps (e.g., step S3105, but not limited thereto). In an optional embodiment, the transceiver 7102 may include a receiver and / or a transmitter, and the receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, and interface may be interchangeable, the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be interchangeable, and the terms receiver, receiving unit, receiver, and receiving circuit may be interchangeable.

[0469] In some embodiments, the communication device 7100 further includes one or more memories 7103 for storing data. Alternatively, all or part of the memories 7103 may be located outside the communication device 7100. In alternative embodiments, the communication device 7100 may include one or more interface circuits 7104. Optionally, the interface circuits 7104 are connected to the memories 7103 and may be configured to receive data from the memories 7103 or other devices, or to send data to the memories 7103 or other devices. For example, the interface circuits 7104 may read data stored in the memories 7103 and send the data to the processor 7101.

[0470] 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. 7 . 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.

[0471] FIG8 is a schematic diagram of the structure of a chip provided according to 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 8100 shown in FIG8 , but the present invention is not limited thereto.

[0472] The chip 8100 includes one or more processors 8101. The chip 8100 is configured to execute any of the above methods.

[0473] In some embodiments, chip 8100 further includes one or more interface circuits 8102. Alternatively, terms such as interface circuit, interface, and transceiver pins may be used interchangeably. In some embodiments, chip 8100 further includes one or more memories 8103 for storing data. Alternatively, all or part of memory 8103 may be located external to chip 8100. Optionally, interface circuit 8102 is connected to memory 8103 and may be used to receive data from memory 8103 or other devices, or may be used to send data to memory 8103 or other devices. For example, interface circuit 8102 may read data stored in memory 8103 and send the data to processor 8101.

[0474] In some embodiments, the interface circuit 8102 performs at least one of the communication steps (e.g., step S3101, step S3102, step S3103, step S3104, step S3106, and step S3107) of the aforementioned method. The interface circuit 8102 performing the communication steps (e.g., step S3101, step S3102, step S3103, step S3104, step S3106, and step S3107) of the aforementioned method, for example, means that the interface circuit 8102 performs data exchange between the processor 8101, chip 8100, memory 8103, or transceiver device. In some embodiments, the processor 8101 performs at least one of the other steps (e.g., step S3105, but not limited thereto).

[0475] The modules and / or devices described in various embodiments, such as virtual devices, physical devices, and chips, can be arbitrarily combined or separated according to circumstances. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0476] The embodiments of the present disclosure further provide 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.

[0477] The embodiment of the present disclosure further 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.

[0478] The embodiments of the present disclosure further provide a computer program, which, when executed on a computer, enables the computer to execute any of the above methods.

[0479] Other embodiments of the present invention will readily occur to those skilled in the art after considering the specification and practicing the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the invention that follow from the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the invention being indicated by the following claims.

[0480] It should be understood that the present invention is not limited to the exact construction described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A communication method, performed by a first network element, comprising: First information is received, where the first information is used to indicate the artificial intelligence (AI) / machine learning (ML) capability of the terminal.

2. The method according to claim 1, wherein The first information includes at least one of the following: third information, where the third information is used to indicate the terminal's support capability for AI / ML; Fourth information, where the fourth information is used to indicate a first AI / ML model or a first AI / ML function supported by the terminal.

3. The method according to claim 2, wherein: The fourth information includes identification information of the first AI / ML model and / or identification information of the first AI / ML function.

4. The method according to any one of claims 1 to 3, wherein: The first information is carried in a first message, and the first message is a registration request message.

5. The method according to any one of claims 1 to 4, wherein The method further comprises: Based on the first information, context information of AI / ML associated with the terminal is determined.

6. The method according to any one of claims 1 to 5, wherein The context information of the AI / ML associated with the terminal includes the first information.

7. The method according to any one of claims 1 to 6, wherein: The determining, based on the first information, context information of the AI / ML associated with the terminal includes one of the following: Creating AI / ML context information associated with the terminal based on the first information; Based on the first information, update the context information of the AI / ML associated with the terminal.

8. The method according to any one of claims 1 to 7, wherein: The method further comprises: Send second information, where the second information is used to indicate the AI / ML capability of the network side.

9. The method according to claim 8, wherein The second information includes at least one of the following: Fifth information, the fifth information is used to indicate the network side's support capability for AI / ML; Sixth information, where the sixth information is used to indicate a second AI / ML model or a second AI / ML function supported by the network side.

10. The method according to claim 9, wherein: The sixth information includes: identification information of the second AI / ML model and / or identification information of the second AI / ML function.

11. The method according to claim 9 or 10, wherein: The second AI / ML model is at least a portion of the first AI / ML model, and the second AI / ML function is at least a portion of the first AI / ML function.

12. The method according to claim 11, wherein The second information also includes: seventh information, where the seventh information is used to indicate the latest version of the second AI / ML model or the latest version of the second AI / ML function.

13. The method according to any one of claims 8 to 12, wherein: The second information is carried in a second message, and the second message is a registration response message.

14. The method according to any one of claims 1 to 13, wherein The first network element is one of the following: A first core network network element, wherein the first core network network element is used to provide an artificial intelligence management function; a second core network network element, the second core network network element being configured to provide an analysis data storage repository function; A third core network network element, wherein the third core network network element is used to provide a network data analysis function; a fourth core network network element, the fourth core network network element being configured to provide a unified data management function; The fifth core network network element is used to provide access and mobility management functions.

15. The method according to claim 14, wherein The first network element is one of the first core network element, the second core network element, the third core network element and the fourth core network element, the first information is sent by the second network element, the second network element is the fifth core network element, and the fifth core network element is used to provide access and mobility management functions.

16. The method according to claim 14, wherein The second information is sent to the second network element.

17. The method according to any one of claims 14 to 16, wherein: The first network element is a fourth core network element, and the second network element is a fifth core network element; before receiving the first information, the method further includes: Send a third message, where the third message is used to indicate that the terminal is authorized to use the AI / ML service.

18. The method according to claim 17, wherein Before sending the third message, the method further includes: A fourth message is received, where the fourth message is used to request to query contract information of the AI / ML associated with the terminal, where the contract information is used to indicate the authorization status of the service of the AI / ML associated with the terminal.

19. The method according to claim 14, wherein The first network element is a fifth core network element, and the first information is sent by the terminal.

20. The method according to claim 19, wherein The second information is sent to the terminal.

21. The method according to claim 19 or 20, wherein Before receiving the first information, the method further includes: A third message is received, where the third message is used to indicate that the terminal is authorized to use AI / ML services.

22. The method according to claim 21, wherein Before receiving the third message, the method further includes: A fourth message is sent, where the fourth message is used to request to query the contract information of the AI / ML associated with the terminal, where the contract information is used to indicate the authorization status of the service of the AI / ML associated with the terminal.

23. A communication method, performed by a second network element, the method comprising: Send first information, where the first information is used to indicate the AI / ML capability of the terminal.

24. The method according to claim 23, wherein The first information includes at least one of the following: third information, where the third information is used to indicate the terminal's support capability for AI / ML; Fourth information, where the fourth information is used to indicate a first AI / ML model or a first AI / ML function supported by the terminal.

25. The method according to claim 24, wherein The fourth information includes identification information of the first AI / ML model and / or identification information of the first AI / ML function.

26. The method according to any one of claims 23 to 25, wherein The first information is carried in a first message, and the first message is a registration request message.

27. The method according to any one of claims 23 to 26, wherein: The method further comprises: Second information is received, where the second information is used to indicate AI / ML capabilities on the network side.

28. The method according to claim 27, wherein The second information includes at least one of the following: Fifth information, the fifth information is used to indicate the network side's support capability for AI / ML; Sixth information, where the sixth information is used to indicate a second AI / ML model or a second AI / ML function supported by the network side.

29. The method according to claim 28, wherein The sixth information includes: identification information of the second AI / ML model and / or identification information of the second AI / ML function.

30. The method according to claim 28 or 29, wherein: The second AI / ML model is at least a portion of the first AI / ML model, and the second AI / ML function is at least a portion of the first AI / ML function.

31. The method according to claim 30, wherein The second information also includes: seventh information, where the seventh information is used to indicate the latest version of the second AI / ML model or the latest version of the second AI / ML function.

32. The method according to any one of claims 27 to 31, wherein The second information is carried in a second message, and the second message is a registration response message.

33. The method according to any one of claims 23 to 32, wherein Before sending the first information, the method further includes: A third message is received, where the third message is used to indicate that the terminal is authorized to use AI / ML services.

34. The method according to claim 33, wherein Before receiving the third message, the method further includes: A fourth message is sent, where the fourth message is used to request to query the contract information of the AI / ML associated with the terminal, where the contract information is used to indicate the authorization status of the service of the AI / ML associated with the terminal.

35. The method according to any one of claims 23 to 34, wherein The second network element is a fifth core network element, and the fifth core network element is used to provide access and mobility management functions.

36. The method according to claim 35, wherein Before sending the first information, the method further includes: A fifth message is received from the terminal, where the fifth message carries the first information and is a registration request message.

37. The method according to claim 35, wherein The method further comprises: A sixth message is sent to the terminal, where the sixth message carries second information for indicating the AI / ML capability of the network side, and the sixth message is a registration response message.

38. The method according to any one of claims 23 to 37, wherein The first information is received by a first network element; the first network element is one of the following: A first core network network element, wherein the first core network network element is used to provide an artificial intelligence management function; a second core network network element, the second core network network element being configured to provide an analysis data storage repository function; A third core network network element, wherein the third core network network element is used to provide a network data analysis function; The fourth core network network element is used to provide a unified data management function.

39. The method according to claim 38, wherein The second information is sent by the first network element.

40. A communication method, performed by a terminal, the method comprising: Send first information, where the first information is used to indicate the AI / ML capability of the terminal.

41. The method according to claim 40, wherein The first information includes at least one of the following: third information, where the third information is used to indicate the terminal's support capability for AI / ML; Fourth information, where the fourth information is used to indicate a first AI / ML model or a first AI / ML function supported by the terminal.

42. The method according to claim 41, wherein The fourth information includes identification information of the first AI / ML model and / or identification information of the first AI / ML function.

43. The method according to any one of claims 40 to 42, wherein: The first information is carried in a fifth message, and the fifth message is a registration request message.

44. The method according to any one of claims 40 to 43, wherein The method further comprises: Second information is received, where the second information is used to indicate AI / ML capabilities on the network side.

45. The method of claim 44, wherein: The second information includes at least one of the following: Fifth information, the fifth information is used to indicate the network side's support capability for AI / ML; Sixth information, where the sixth information is used to indicate a second AI / ML model or a second AI / ML function supported by the network side.

46. The method of claim 45, wherein The sixth information includes: identification information of the second AI / ML model and / or identification information of the second AI / ML function.

47. The method according to claim 45 or 46, wherein The second AI / ML model is at least a portion of the first AI / ML model, and the second AI / ML function is at least a portion of the first AI / ML function.

48. The method of claim 47, wherein The second information also includes: seventh information, where the seventh information is used to indicate the latest version of the second AI / ML model or the latest version of the second AI / ML function.

49. The method according to any one of claims 44 to 48, wherein The second information is carried in a sixth message, and the sixth message is a registration response message.

50. A communication method, performed by a core network, the method comprising: receiving first information from a terminal, where the first information is used to indicate an AI / ML capability of the terminal; Sending second information to the terminal, where the second information is used to indicate the AI / ML capability of the network side.

51. A core network device, comprising: The first transceiver module is configured to receive first information, where the first information is used to indicate the AI / ML capability of the terminal.

52. A core network device, comprising: The second transceiver module is configured to send first information, where the first information is used to indicate the AI / ML capability of the terminal.

53. A terminal comprising: The third transceiver module is configured to send first information, where the first information is used to indicate the AI / ML capability of the terminal.

54. A core network device, comprising: one or more processors; The core network device is used to execute the communication method described in any one of claims 1 to 39.

55. A terminal comprising: one or more processors; Wherein, the terminal is used to execute the communication method described in any one of claims 40 to 49.

56. A communication system comprising a core network device and a terminal, wherein: The core network device is configured to implement the communication method according to any one of claims 1 to 39; the terminal is configured to implement the communication method according to any one of claims 40 to 49.

57. A storage medium storing instructions, which, when executed on a core network device or a terminal, causes the core network device or the terminal to execute the communication method according to any one of claims 1 to 49.

58. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the communication method according to any one of claims 1 to 49.

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