CN118202675A

CN118202675A - Communication method, core network device, terminal, communication system, and storage medium

Info

Publication number: CN118202675A
Application number: CN202480000455.5A
Authority: CN
Inventors: 刘建宁
Original assignee: Beijing Xiaomi Mobile Software Co Ltd
Current assignee: Beijing Xiaomi Mobile Software Co Ltd
Priority date: 2024-02-07
Filing date: 2024-02-07
Publication date: 2024-06-14

Abstract

The embodiment of the disclosure relates to a communication method, core network equipment, a terminal, a communication system and a storage medium. The communication method may be performed by a first network element, the method comprising: first information is received, the first information being for indicating an artificial intelligence AI/machine learning ML capability of the terminal. The method and the device realize the capability negotiation about AI/ML between the terminal and the network through the first message for indicating the artificial intelligence capability or the machine learning capability of the terminal, are convenient for the communication system to provide support for the artificial intelligence service or the machine learning service, and improve the system performance.

Description

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

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a communication method, a core network device, a terminal, a communication system, and a storage medium.

Background

Models such as artificial intelligence (ARTIFICIAL INTELLIGENCE, AI)/machine learning (MACHINE LEARNING, ML) models may be deployed in a communication system. Then the communication system needs to provide support for the management, training, application of the model.

Disclosure of Invention

The lack of interactive procedures between terminals and networks in a communication system regarding AI/ML capabilities results in a functional framework that cannot support AI/ML, affecting system performance.

The embodiment of the disclosure provides a communication method, core network equipment, a terminal, a communication system and a storage medium.

According to a first aspect of embodiments of the present disclosure, a communication method is provided, performed by a first network element, the method comprising: first information is received, the first information being for indicating an artificial intelligence AI/machine learning ML capability of the terminal.

According to a second aspect of embodiments of the present disclosure, a communication method is proposed, performed by a second network element, the method comprising: and transmitting first information, wherein the first information is used for indicating the AI/ML capability of the terminal.

According to a third aspect of the embodiments of the present disclosure, a communication method is proposed, performed by a terminal, the method comprising: and transmitting first information, wherein the first information is used for indicating the AI/ML capability of the terminal.

According to a fourth aspect of embodiments of the present disclosure, a communication method is proposed, performed by a core network, the method comprising: receiving first information from a terminal, wherein the first information is used for indicating AI/ML (advanced technology information) capability of the terminal; and sending second information to the terminal, wherein the second information is used for indicating the AI/ML capability of the network side.

According to a fifth aspect of an embodiment of the present disclosure, there is provided a core network device, including: and a first transceiver module configured to receive first information indicating AI/ML capabilities of the terminal.

According to a sixth aspect of the embodiments of the present disclosure, there is provided a core network device, including: and the second transceiver module is configured to send first information, wherein the first information is used for indicating the AI/ML capability of the terminal.

According to a seventh aspect of the embodiments of the present disclosure, there is provided a terminal, including: and a third transceiver module configured to transmit first information indicating AI/ML capabilities of the terminal.

According to an eighth aspect of an embodiment of the present disclosure, there is provided a core network device, including: one or more processors; wherein the core network device is adapted to perform the communication method as in the first and second aspects.

According to a ninth aspect of an embodiment of the present disclosure, there is provided a terminal, including: one or more processors; wherein the terminal is adapted to perform the communication method as in the third aspect.

According to a tenth aspect of the embodiments 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 as in the first aspect and the second aspect, and the terminal is configured to implement the communication method as in the third aspect.

According to an eleventh aspect of the embodiments of the present disclosure, there is provided a storage medium storing instructions that, when run on a core network device or terminal, cause the core network device or terminal to perform the communication method as any one of the first, second, third aspects.

According to a twelfth aspect of an embodiment of the present disclosure, a computer program product is presented, comprising a computer program, which when executed by a processor implements the communication method according to any of the first, second and third aspects.

According to a thirteenth aspect of the embodiments of the present disclosure, a computer program is presented, comprising code which, when executed by a processor, implements the communication method of any of the first, second and third aspects.

According to a fourteenth aspect of 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 perform the communication method according to any of the first, second and third aspects.

According to the embodiment of the disclosure, the capability negotiation about AI/ML between the terminal and the network is realized through the first message for indicating the artificial intelligence capability or the machine learning capability of the terminal, so that the communication system is convenient to provide support for the artificial intelligence service or the machine learning service, and the system performance is improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following description of the embodiments refers to the accompanying drawings, which are only some embodiments of the present disclosure, and do not limit the protection scope of the present disclosure in any way.

Fig. 1A is a schematic architecture diagram of a communication system provided according to an embodiment of the present disclosure.

Fig. 1B is an architectural diagram of one implementation of a communication system provided in accordance with an embodiment of the present disclosure.

Fig. 2A is a schematic diagram of an AI-function framework based on a communication system.

Fig. 2B is a schematic diagram of an ML model provisioning architecture based on a communication system.

Fig. 3A is a first interactive schematic diagram of a communication method shown in accordance with an embodiment of the present disclosure.

Fig. 3B is a second interactive schematic diagram of a communication method shown in accordance with an embodiment of the present disclosure.

Fig. 3C is a third interactive schematic diagram of a communication method shown in accordance with an embodiment of the present disclosure.

Fig. 4A is a first flowchart illustrating a first network element side performing a communication method according to an embodiment of the present disclosure.

Fig. 4B is a second flowchart illustrating a first network element side performing a communication method according to an embodiment of the present disclosure.

Fig. 4C is a third flowchart illustrating a first network element side performing a communication method according to an embodiment of the present disclosure.

Fig. 4D is a schematic flow chart illustrating a method for performing communication on the second network element side according to an embodiment of the disclosure.

Fig. 4E is a schematic flow chart illustrating a method for performing communication at a terminal side according to an embodiment of the present disclosure.

Fig. 5A is another flow chart illustrating a method for performing communication at a first network element according to an embodiment of the disclosure.

Fig. 5B is another flow chart illustrating a method for performing communication at the second network element side according to an embodiment of the present disclosure.

Fig. 5C is another flow chart illustrating a method for performing communication at a terminal side according to an embodiment of the present disclosure.

Fig. 6A is a schematic structural diagram of a core network device according to an embodiment of the present disclosure.

Fig. 6B is another schematic structural diagram of a core network device according to an embodiment of the present disclosure.

Fig. 6C is a schematic structural diagram of a terminal according to an embodiment of the present disclosure.

Fig. 7 is a schematic structural diagram of a communication device according to an embodiment of the present disclosure.

Fig. 8 is a schematic structural diagram of a chip according to an embodiment of the present disclosure.

Detailed Description

The embodiment of the disclosure provides a communication method, a terminal, network equipment, a communication system and a storage medium.

In a first aspect, an embodiment of the present disclosure proposes a communication method performed by a first network element, the method comprising: first information is received, the first information being used to indicate AI/ML capabilities of the terminal.

In the embodiment of the disclosure, through the first information for indicating the artificial intelligence capability or the machine learning capability of the terminal, the capability negotiation about AI/ML between the terminal and the network is realized, so that the communication system is convenient to provide support for the artificial intelligence service or the machine learning service, and the system performance is improved.

With reference to some embodiments of the first aspect, in some embodiments, the first information includes at least one of: third information for indicating the AI/ML supporting capability of the terminal; fourth information indicating the first AI/ML model or the first AI/ML function supported by the terminal.

With reference to some embodiments of the first aspect, in some embodiments, the first information is carried on a first message, the first message being a registration request message.

In the embodiment of the disclosure, the interaction of the capability information about the artificial intelligence or the machine learning between the terminal and the network can be carried in the registration flow, and the registration of the artificial intelligence/machine learning and the interaction of the capability information are realized at the same time, so that signaling interaction is reduced, and the cost is saved.

With reference to some embodiments of the first aspect, in some embodiments, the communication method further includes: based on the first information, AI/ML context information associated with the terminal is determined.

In the embodiment of the disclosure, the context information of the terminal AI/ML is determined based on the first information indicating the terminal AI/ML, so that the network is convenient to manage the whole life cycle of the terminal AI/ML, and the system performance is improved.

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

With reference to some embodiments of the first aspect, in some embodiments, determining, based on the first information, AI/ML context information associated with the terminal includes one of: creating context information of AI/ML associated with the terminal based on the first information; based on the first information, the context information of AI/ML associated with the terminal is updated.

With reference to some embodiments of the first aspect, in some embodiments, the communication method further includes: and sending second information, wherein the second information is used for indicating the AI/ML capability of the network side.

In the embodiment of the disclosure, through the second information for indicating the artificial intelligence capability or the machine learning capability of the network side, the negotiation of the capability of the terminal and the network about the respective AI/ML is realized, so that the communication system is convenient to provide support for the artificial intelligence service or the machine learning service, and the system performance is improved.

With reference to some embodiments of the first aspect, in some embodiments, the second information includes at least one of: fifth information, the fifth information is used for indicating the supporting capability of the network side to the AI/ML; and sixth information for indicating a second AI/ML model or a second AI/ML function supported by the network side.

With reference to 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.

With reference to some embodiments of the first aspect, in some embodiments, a second AI/ML model is at least a portion of the first AI/ML model and a second AI/ML function is at least a portion of the first AI/ML function.

In the embodiment of the disclosure, in the process of transmitting the self AI/ML capability information to the terminal, the network can select at least one of the self-supported models/functions from the received models/functions supported by the terminal for transmitting, so that the interactive effectiveness and interactive efficiency of the capability information about the AI/ML between the terminal and the network are improved, and the terminal can conveniently and rapidly perform the AI/ML service.

With reference to some embodiments of the first aspect, in some embodiments, the second information further includes: seventh information indicating the latest version of the second AI/ML model or the latest version of the second AI/ML function.

In the embodiment of the disclosure, the network also can issue 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 in the process of issuing the self AI/ML capability information to the terminal, so that the terminal can conveniently improve the quality and efficiency of the AI/ML service.

With reference to some embodiments of the first aspect, in some embodiments, the second information is carried on a second message, the second message being a registration response message.

In the embodiment of the disclosure, the capability negotiation about AI/ML between the terminal and the network can be carried in the registration flow, so that signaling interaction is reduced, and overhead is saved.

With reference to some embodiments of the first aspect, in some embodiments, the first network element is one of: the first core network element is used for providing an artificial intelligent management function; the second core network element is used for providing an analysis data storage function; a third core network element, the third core network element being configured to provide a network data analysis function; a fourth core network element, configured to provide a unified data management function; and a fifth core network element, the fifth core network element being configured to provide access and mobility management functions.

With reference to some embodiments of the first aspect, in some embodiments, 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, and the first information is sent by the second network element, and the second network element is a fifth core network element, and the fifth core network element is configured to provide access and mobility management functions.

With reference to some embodiments of the first aspect, in some embodiments, the second information is sent to the second network element.

With reference to 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 said receiving the first information, the method further comprises: and transmitting a third message for indicating that the terminal is authorized to use the service of the AI/ML.

In the embodiment of the disclosure, during the interaction of the terminal with the capability information of the network for artificial intelligence or machine learning, the network also performs an authorization check process to determine authorization information of the terminal about the services of the AI/ML.

With reference to some embodiments of the first aspect, in some embodiments, before sending the third message, the method further includes: and receiving a fourth message, wherein the fourth message is used for requesting to inquire the subscription information of the AI/ML associated with the terminal, and the subscription information is used for indicating the authorization condition of the service of the AI/ML associated with the terminal.

With reference to 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.

With reference to some embodiments of the first aspect, in some embodiments, the second information is sent to the terminal.

With reference to some embodiments of the first aspect, in some embodiments, before receiving the first information, the method further includes:

a third message is received indicating that the terminal is authorized to use the AI/ML service. In an embodiment of the present disclosure, a method for processing a web,

With reference to some embodiments of the first aspect, in some embodiments, before receiving the third message, the method further includes: and sending a fourth message, wherein the fourth message is used for requesting to inquire the subscription information of the AI/ML associated with the terminal, and the subscription information is used for indicating the authorization condition of the service of the AI/ML associated with the terminal.

In a second aspect, an embodiment of the present disclosure proposes a communication method performed by a second network element, the method comprising: and transmitting first information, wherein the first information is used for indicating the AI/ML capability of the terminal.

In the embodiment of the disclosure, through the first information for indicating the artificial intelligence capability or the machine learning capability of the terminal, interaction of capability information about the artificial intelligence or the machine learning between the terminal and the network is realized, so that a communication system is convenient to provide support for an artificial intelligence service or a machine learning service, and system performance is improved.

With reference to some embodiments of the second aspect, in some embodiments, the first information includes at least one of: third information for indicating the AI/ML supporting capability of the terminal; fourth information indicating the first AI/ML model or the first AI/ML function supported by the terminal.

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.

With reference to some embodiments of the second aspect, in some embodiments, the first information is carried on a first message, the first message being a registration request message.

With reference to some embodiments of the second aspect, in some embodiments, the communication method further includes: and receiving second information, wherein the second information is used for indicating the AI/ML capability of the network side.

With reference to some embodiments of the second aspect, in some embodiments, the second information includes at least one of: fifth information, the fifth information is used for indicating the supporting capability of the network side to the AI/ML; and sixth information for indicating a second AI/ML model or a second AI/ML function supported by the network side.

With reference to 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.

With reference to some embodiments of the second aspect, in some embodiments, a second AI/ML model is at least a portion of the first AI/ML model and a second AI/ML function is at least a portion of the first AI/ML function.

With reference to some embodiments of the second aspect, in some embodiments, the second information further includes: seventh information indicating the latest version of the second AI/ML model or the latest version of the second AI/ML function.

With reference to some embodiments of the second aspect, in some embodiments, the second information is carried on a second message, the second message being a registration response message.

With reference to some embodiments of the second aspect, in some embodiments, before the sending the first information, the method further includes: a third message is received indicating that the terminal is authorized to use the AI/ML service.

With reference to some embodiments of the second aspect, in some embodiments, before the receiving the third message, the method further includes: and sending a fourth message, wherein the fourth message is used for requesting to inquire the subscription information of the AI/ML associated with the terminal, and the subscription information is used for indicating the authorization condition of the service of the AI/ML associated with the terminal.

With reference to 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 configured to provide access and mobility management functions.

With reference to some embodiments of the second aspect, in some embodiments, before the sending the first information, the method further includes: and receiving a fifth message from the terminal, wherein the fifth message carries the first information, and the fifth message is a registration request message.

With reference to some embodiments of the second aspect, in some embodiments, the method further comprises: and sending a sixth message to the terminal, wherein 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.

With reference to some embodiments of the second aspect, in some embodiments, the first information is received by the first network element; the first network element is one of the following: the first core network element is used for providing an artificial intelligent management function; the second core network element is used for providing an analysis data storage function; a third core network element, the third core network element being configured to provide a network data analysis function; and the fourth core network element is used for providing a unified data management function.

With reference to some embodiments of the second aspect, in some embodiments, the second information is sent by the first network element.

In a third aspect, an embodiment of the present disclosure proposes a communication method, performed by a terminal, the method including: and transmitting first information, wherein the first information is used for indicating the AI/ML capability of the terminal.

With reference to some embodiments of the third aspect, in some embodiments, the first information includes at least one of: third information for indicating the AI/ML supporting capability of the terminal; fourth information indicating the first AI/ML model or the first AI/ML function supported by the terminal.

With reference to 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.

With reference to some embodiments of the third aspect, in some embodiments, the first information is carried on a fifth message, the fifth message being a registration request message.

With reference to some embodiments of the third aspect, in some embodiments, the communication method further includes: and receiving second information, wherein the second information is used for indicating the AI/ML capability of the network side.

With reference to some embodiments of the third aspect, in some embodiments, the second information includes at least one of: fifth information, the fifth information is used for indicating the supporting capability of the network side to the AI/ML; and sixth information for indicating a second AI/ML model or a second AI/ML function supported by the network side.

With reference to 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.

With reference to some embodiments of the third aspect, in some embodiments, a second AI/ML model is at least a portion of the first AI/ML model and a second AI/ML function is at least a portion of the first AI/ML function.

With reference to some embodiments of the third aspect, in some embodiments, the second information further includes: seventh information indicating the latest version of the second AI/ML model or the latest version of the second AI/ML function.

With reference to some embodiments of the third aspect, in some embodiments, the second information is carried on a sixth message, the sixth message being a registration response message.

In a fourth aspect, an embodiment of the present disclosure provides a communication method, performed by a core network, the method including: receiving first information from a terminal, wherein the first information is used for indicating AI/ML (advanced technology information) capability of the terminal; and sending second information to the terminal, wherein the second information is used for indicating the AI/ML capability of the network side.

In a fifth aspect, an embodiment of the present disclosure proposes a core network device, applied to a first network element, including: the first transceiver module is configured to receive first information indicating AI/ML capabilities of the terminal.

With reference to some embodiments of the fifth aspect, in some embodiments, the first information includes at least one of: third information for indicating the AI/ML supporting capability of the terminal; fourth information indicating the first AI/ML model or the first AI/ML function supported by the terminal.

With reference to 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.

With reference to some embodiments of the fifth aspect, in some embodiments, the first information is carried on a first message, and the first message is a registration request message.

With reference to some embodiments of the fifth aspect, in some embodiments, the first transceiver module is further configured to determine, based on the first information, context information of AI/ML associated with the terminal.

With reference to some embodiments of the fifth aspect, in some embodiments, the context information of AI/ML associated with the terminal includes the first information.

With reference to some embodiments of the fifth aspect, in some embodiments, the first transceiver module is further configured to perform one of: creating context information of AI/ML associated with the terminal based on the first information; based on the first information, the context information of AI/ML associated with the terminal is updated.

With reference to 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 AI/ML capabilities on the network side.

With reference to some embodiments of the fifth aspect, in some embodiments, the second information includes at least one of: fifth information, the fifth information is used for indicating the supporting capability of the network side to the AI/ML; and sixth information for indicating a second AI/ML model or a second AI/ML function supported by the network side.

With reference to 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.

With reference to some embodiments of the fifth aspect, in some embodiments, a second AI/ML model is at least a portion of the first AI/ML model and a second AI/ML function is at least a portion of the first AI/ML function.

With reference to some embodiments of the fifth aspect, in some embodiments, the second information further includes: seventh information indicating the latest version of the second AI/ML model or the latest version of the second AI/ML function.

With reference to some embodiments of the fifth aspect, in some embodiments, the second information is carried on a second message, the second message being a registration response message.

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

the first core network element is used for providing an artificial intelligent management function;

the second core network element is used for providing an analysis data storage function;

A third core network element, the third core network element being configured to provide a network data analysis function;

A fourth core network element, configured to provide a unified data management function;

And a fifth core network element, the fifth core network element being configured to provide access and mobility management functions.

With reference to some embodiments of the fifth aspect, in some embodiments, 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, and the first information is sent by the second network element, and the second network element is a fifth core network element, and the fifth core network element is configured to provide access and mobility management functions.

With reference to some embodiments of the fifth aspect, in some embodiments, the second information is sent to the second network element.

With reference to 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 further configured to send a third message indicating that the terminal is authorized to enable AI/ML services.

With reference to some embodiments of the fifth aspect, in some embodiments, the first transceiver module is further configured to receive a fourth message, where the fourth message is used to request to query subscription information of AI/ML associated with the terminal, where the subscription information is used to indicate authorization status of services of AI/ML associated with the terminal.

With reference to 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.

With reference to some embodiments of the fifth aspect, in some embodiments, the second information is sent to the terminal.

With reference to 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.

With reference to some embodiments of the fifth aspect, in some embodiments, the first transceiver module is further configured to send a fourth message for requesting to query subscription information of AI/ML associated with the terminal, the subscription information being used to indicate an authorization status of a service of AI/ML associated with the terminal.

In a sixth aspect, an embodiment of the present disclosure proposes a core network device, applied to a second network element, including: the second transceiver module is configured to transmit first information indicating AI/ML capabilities of the terminal.

With reference to some embodiments of the sixth aspect, in some embodiments, the first information includes at least one of: third information for indicating the AI/ML supporting capability of the terminal; fourth information indicating the first AI/ML model or the first AI/ML function supported by the terminal.

With reference to 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.

With reference to some embodiments of the sixth aspect, in some embodiments, the first information is carried on a first message, the first message being a registration request message.

With reference to 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 AI/ML capabilities of the network side.

With reference to some embodiments of the sixth aspect, in some embodiments, the second information includes at least one of: fifth information, the fifth information is used for indicating the supporting capability of the network side to the AI/ML; and sixth information for indicating a second AI/ML model or a second AI/ML function supported by the network side.

With reference to 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.

With reference to some embodiments of the sixth aspect, in some embodiments, a second AI/ML model is at least a portion of the first AI/ML model and a second AI/ML function is at least a portion of the first AI/ML function.

With reference to some embodiments of the sixth aspect, in some embodiments, the second information further includes: seventh information indicating the latest version of the second AI/ML model or the latest version of the second AI/ML function.

With reference to some embodiments of the sixth aspect, in some embodiments, the second information is carried on a second message, the second message being a registration response message.

With reference to 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.

With reference to some embodiments of the sixth aspect, in some embodiments, the second transceiver module is further configured to send a fourth message for requesting to query subscription information of AI/ML associated with the terminal, the subscription information being used to indicate an authorization status of a service of AI/ML associated with the terminal.

With reference to 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 configured to provide access and mobility management functions.

With reference to 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.

With reference to some embodiments of the sixth aspect, in some embodiments, the second transceiver module is further configured to send a sixth message to the terminal, where the sixth message carries second information for indicating AI/ML capabilities of the network side, and the sixth message is a registration response message.

With reference to some embodiments of the sixth aspect, in some embodiments, the first information is received by the first network element; the first network element is one of the following: the first core network element is used for providing an artificial intelligent management function; the second core network element is used for providing an analysis data storage function; a third core network element, the third core network element being configured to provide a network data analysis function; and the fourth core network element is used for providing a unified data management function.

With reference to some embodiments of the sixth aspect, in some embodiments, the second information is sent by the first network element.

In a seventh aspect, an embodiment of the present disclosure proposes a terminal, including: the third transceiver module is configured to transmit first information indicating AI/ML capabilities of the terminal.

With reference to some embodiments of the seventh aspect, in some embodiments, the first information includes at least one of: third information for indicating the AI/ML supporting capability of the terminal; fourth information indicating the first AI/ML model or the first AI/ML function supported by the terminal.

With reference to 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.

With reference to some embodiments of the seventh aspect, in some embodiments, the first information is carried on a fifth message, the fifth message being a registration request message.

With reference to 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 AI/ML capabilities of the network side.

With reference to some embodiments of the seventh aspect, in some embodiments, the second information includes at least one of: fifth information, the fifth information is used for indicating the supporting capability of the network side to the AI/ML; and sixth information for indicating a second AI/ML model or a second AI/ML function supported by the network side.

With reference to 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.

With reference to some embodiments of the seventh aspect, in some embodiments, the second information further includes: seventh information indicating the latest version of the second AI/ML model or the latest version of the second AI/ML function.

With reference to some embodiments of the seventh aspect, in some embodiments, the second information is carried on a sixth message, and the sixth message is a registration response message.

In an eighth aspect, an embodiment of the present disclosure provides a core network device, including: one or more processors; wherein the core network device is configured to perform the communication methods of the first and second aspects.

In a ninth aspect, an embodiment of the present disclosure proposes a terminal, including: one or more processors; wherein the terminal is configured to perform the communication method of the third aspect.

In a tenth aspect, embodiments of the present disclosure provide a communication system, including: a terminal and a core network device; wherein the core network device is configured to perform the method as described in the alternative implementations of the first and second aspects and the terminal is configured to perform the method as described in the alternative implementations of the third aspect.

In an eleventh aspect, embodiments of the present disclosure provide a storage medium storing instructions that, when executed on a core network device or terminal, cause the core network device or terminal to perform a method as described in the alternative implementations of the first, second and third aspects.

In a twelfth aspect, embodiments of the present disclosure propose a program product which, when executed by a core network device or terminal, causes the core network device or terminal to perform the method as described in the alternative implementations of the first, second and third aspects.

In a thirteenth aspect, embodiments of the present disclosure propose a computer programme which, when run on a computer, causes the computer to carry out the method as described in the alternative implementations of the first, second and third aspects.

In a fourteenth aspect, embodiments of the present disclosure provide a chip or chip system. The chip or chip system comprises processing circuitry configured to perform the method described in accordance with alternative implementations of the first, second and third aspects described above.

It will be appreciated that the core network device, the terminal, the communication system, the storage medium, the program product, the computer program, the chip or the chip system described above are all configured to perform the methods set forth in the embodiments of the present disclosure. Therefore, the advantages achieved by the method can be referred to as the advantages of the corresponding method, and will not be described herein.

The embodiment of the disclosure provides a communication method, core network equipment, a terminal, a communication system and a storage medium. In some embodiments, the terms of the communication method and the terms of the information processing method, the registration method of the model, the registration method of the service, and the like may be replaced with each other, and the terms of the information processing system, the communication system, the registration system, and the like may be replaced with each other.

The embodiments of the present disclosure are not intended to be exhaustive, but rather are exemplary of some embodiments and are not intended to limit the scope of the disclosure. In the case of no contradiction, each step in a certain embodiment may be implemented as an independent embodiment, and the steps may be arbitrarily combined, for example, a scheme in which part of the steps are removed in a certain embodiment may also be implemented as an independent embodiment, the order of the steps in a certain embodiment may be arbitrarily exchanged, and further, alternative implementations in a certain embodiment may be arbitrarily combined; furthermore, various embodiments may be arbitrarily combined, for example, some or all steps of different embodiments may be arbitrarily combined, and an embodiment may be arbitrarily combined with alternative implementations of other embodiments.

In the various embodiments of the disclosure, terms and/or descriptions of the various embodiments are consistent throughout the various embodiments and may be referenced to each other in the absence of any particular explanation or logic conflict, and features from different embodiments may be combined to form new embodiments in accordance with their inherent logic relationships.

The terminology used in the embodiments of the disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure.

In the presently disclosed embodiments, elements that are referred to in the singular, such as "a," "an," "the," "said," etc., may mean "one and only one," or "one or more," "at least one," etc., unless otherwise indicated. For example, where an article (article) is used in translation, such as "a," "an," "the," etc., in english, a noun following the article may be understood as a singular expression or as a plural expression.

In the presently disclosed embodiments, "plurality" refers to two or more.

In some embodiments, terms such as "at least one of", "one or more of", "multiple of" and the like may be substituted for each other.

In some embodiments, "A, B" at least one of "," a and/or B "," a in one case, B in another case "," a in response to one case, B "in response to another case, etc., may include the following technical solutions, as appropriate: in some embodiments a (a is performed independently of B); b (B is performed independently of a) in some embodiments; in some embodiments, execution is selected from a and B (a and B are selectively executed); in some embodiments a and B (both a and B are performed). Similar to the above when there are more branches such as A, B, C.

In some embodiments, the description modes such as "a or B" may include the following technical schemes according to circumstances: in some embodiments a (a is performed independently of B); b (B is performed independently of a) in some embodiments; in some embodiments execution is selected from a and B (a and B are selectively executed). Similar to the above when there are more branches such as A, B, C.

The prefix words "first", "second", etc. in the embodiments of the present disclosure are only for distinguishing different description objects, and do not limit the location, order, priority, number, content, etc. of the description objects, and the statement of the description object refers to the claims or the description of the embodiment context, and should not constitute unnecessary limitations due to the use of the prefix words. For example, if the description object is a "field", the ordinal words before the "field" in the "first field" and the "second field" do not limit the position or the order between the "fields", and the "first" and the "second" do not limit whether the "fields" modified by the "first" and the "second" are in the same message or not. For another example, describing an object as "level", ordinal words preceding "level" in "first level" and "second level" do not limit priority between "levels". As another example, the number of descriptive objects is not limited by ordinal words, and may be one or more, taking "first device" as an example, where the number of "devices" may be one or more. Furthermore, objects modified by different prefix words may be the same or different, e.g., the description object is "a device", then "a first device" and "a second device" may be the same device or different devices, and the types may be the same or different; for another example, the description object is "information", and the "first information" and the "second information" may be the same information or different information, and the contents thereof may be the same or different.

In some embodiments, "comprising a", "containing a", "for indicating a", "carrying a", may be interpreted as carrying a directly, or as indicating a indirectly.

In some embodiments, the terms "responsive to … …", "responsive to determination … …", "in the case of … …", "at … …", "when … …", "if … …", "if … …", and the like may be interchanged.

In some embodiments, terms "greater than", "greater than or equal to", "not less than", "more than or equal to", "not less than", "above" and the like may be interchanged, and terms "less than", "less than or equal to", "not greater than", "less than or equal to", "not more than", "below", "lower than or equal to", "no higher than", "below" and the like may be interchanged.

In some embodiments, an apparatus or the like may be interpreted as an entity, or may be interpreted as a virtual, and the names thereof are not limited to the names described in the embodiments, "apparatus," "device," "circuit," "network element," "node," "function," "unit," "section," "system," "network," "chip system," "entity," "body," and the like may be replaced with each other.

In some embodiments, a "network" may be interpreted as an apparatus (e.g., access network device, core network device, etc.) contained in a network.

In some embodiments, a "network device" (access network device) "," access network device (access network device, AN device) "," radio access network device (radio access network device, RAN DEVICE) "," Base Station (BS) "," radio base station (radio base station) "," fixed station (fixed station) "," node) "," access network node "," access point (access point) "," sending point (transmission point, TP) "," Receiving Point (RP) "," sending and/or receiving point (transmission/reception point), the terms TRP) "," panel "," antenna panel (ANTENNA PANEL) "," antenna array (ANTENNA ARRAY) "," cell "," macro cell "," small cell (SMALL CELL) "," microcell (femtocell) "," pico cell (picocell) "," sector "," cell group "," serving cell "," carrier "," component carrier (component carrier) "," bandwidth part (BWP) ", etc. may be replaced with each other.

In some embodiments, terms such as "terminal" (terminal) "," terminal device (TERMINAL DEVICE) "," User Equipment (UE) "," user terminal "(MS)", "Mobile Station (MS)", mobile Terminal (MT) ", subscriber station (subscriber station), mobile unit (mobile unit), subscriber unit (subsumer unit), wireless unit (wireless unit), remote unit (remote unit), mobile device (mobiledevice), wireless device (WIRELESS DEVICE), wireless communication device (wireless communication device), remote device (remote device), mobile subscriber station (mobile subscriber station), access terminal (ACCESS TERMINAL), mobile terminal (mobile terminal), wireless terminal (WIRELESS TERMINAL), remote terminal (remote terminal), handheld device (handset), mobile agent (user agent), mobile client (mobile client), client (client), and the like may be substituted for one another.

In some embodiments, the access network device, core network device, or network device may be replaced with a terminal. For example, the embodiments of the present disclosure may also be applied to a configuration in which an access network device, a core network device, or communication between a network device and a terminal is replaced with communication between a plurality of terminals (for example, device-to-device (D2D), vehicle-to-everything (V2X), or the like). In this case, the terminal may have all or part of the functions of the access network device. In addition, terms such as "uplink", "downlink", and the like may be replaced with terms corresponding to communication between terminals (e.g., "side)". For example, uplink channels, downlink channels, etc. may be replaced with side-uplink channels, uplink, downlink, etc. may be replaced with side-downlink channels.

In some embodiments, the terminal may be replaced with 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 all or part of the functions of the terminal.

In some embodiments, the acquisition of data, information, etc. may comply with laws and regulations of the country of locale.

In some embodiments, data, information, etc. may be obtained after user consent is obtained.

Furthermore, each element, each row, or each column in the tables of the embodiments of the present disclosure may be implemented as a separate embodiment, and any combination of elements, any rows, or any columns may also be implemented as a separate embodiment.

As shown in fig. 1A, the communication system 100 includes a terminal (terminal) 101, an access network device 102, and a core network device (core network device) 103.

In some embodiments, the terminal 101 includes at least one of, for example, a mobile phone (mobile phone), a wearable device, an internet of things device, a communication enabled car, a smart car, a tablet (Pad), a wireless transceiver enabled computer, a Virtual Reality (VR) terminal device, an augmented reality (augmented reality, AR) terminal device, a wireless terminal device in industrial control (industrial control), a wireless terminal device in unmanned-driving (self-driving), a wireless terminal device in teleoperation (remote medical surgery), a wireless terminal device in smart grid (SMART GRID), a wireless terminal device in transportation security (transportation safety), a wireless terminal device in smart city (SMART CITY), a wireless terminal device in smart home (smart home), but is not limited thereto.

In some embodiments, the access network device 102 is, for example, a node or device that accesses a terminal to a wireless network, and the access network device may include at least one of an evolved NodeB (eNB), a next generation evolved NodeB (next generation eNB, ng-eNB), a next generation NodeB (next generation NodeB, gNB), a NodeB (node B, NB), a Home NodeB (HNB), a home NodeB (home evolved nodeB, heNB), a wireless backhaul device, a radio network controller (radio network controller, RNC), a base station controller (base station controller, BSC), a base transceiver station (base transceiver station, BTS), a baseband 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, an access node in a Wi-Fi system, but is not limited thereto.

In some embodiments, the technical solutions of the present disclosure may be applied to an Open RAN architecture, where an access network device or an interface in an access network device according to the embodiments of the present disclosure may become an internal interface of the Open RAN, and flow and information interaction between these internal interfaces may be implemented by using software or a program.

In some embodiments, the access network device 102 may be composed of a Central Unit (CU) and a Distributed Unit (DU), where the CU may also be referred to as a control unit (control unit), and the protocol layer of the access network device may be split by adopting a CU-DU structure, where functions of part of the protocol layer are put in CU centralized control, and functions of part or all of the remaining protocol layer are distributed in the DU, and the DU is centralized controlled by the CU, but is not limited thereto.

In some embodiments, the core network device 103 may be a 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, or may be a plurality of devices or device groups, 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, or the like, respectively. The network element may be virtual or physical. The core network comprises, for example, at least one of an evolved packet core (Evolved Packet Core, EPC), a 5G core network (5G Core Network,5GCN), a next generation core (Next Generation Core, NGC).

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

In some embodiments, the first core network element may be used to implement management and monitoring of the AI model, the name not being limited thereto.

In some embodiments, the second core network element may be, for example, an analytical data storage function (ANALYTICS DATA repository function, ADRF).

In some embodiments, the second core network element may be configured to store the collected data and analysis, store the AI model, and name is not limited thereto.

In some embodiments, the third core network element may be, for example, a network data analysis function (network DATA ANALYTICS function, NWDAF).

In some embodiments, the third core network element may be configured to support data collection, implement updating of AI models, and the name is not limited thereto.

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

In some embodiments, the fourth core network element may be configured to perform user identification processing, access authorization based on subscription data, service network function registration management of the terminal (e.g., storing a service AMF for the UE, storing a service SMF for a PDU session of the UE), supporting continuity of services/sessions, and the like, with the name not limited thereto.

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

In some embodiments, the fifth core network element may be used to perform mobility management, non-access stratum mobility management (non-access stratummobility management, NAS MM) signaling processing, NAS session management (session management, SM) signaling routing, security anchor and security context management, and the like, with the name not limited thereto.

In some embodiments, at least one of the core network elements described above may be independent of the core network device 103.

In some embodiments, the communication system 100 described above may be a 5G communication system. It should be noted that, the communication system 100 may also be other communication systems, for example, a 4G communication system, a 6G communication system, which is not specifically limited in the embodiments of the present disclosure.

In fig. 1B, an architecture of a communication system is exemplarily illustrated taking a 5G communication system as an example. Here, the access network device 101 may be a RAN.

Fig. 1B is an architectural diagram of one implementation of a communication system provided in accordance with an embodiment of the present disclosure. As shown in fig. 1B, the architecture of the 5G communication system is presented in the form of a service-based interface.

Namf is a service-based interface provided by the AMF. Nadrf is a service-based interface provided by ADRF. Nnwdaf is a service-based interface provided by NWDAF. Naimf is a service-based interface provided by 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 RAN and UE.

It may be understood that, the communication system described in the embodiments of the present disclosure is for more clearly describing the technical solutions of the embodiments of the present disclosure, and is not limited to the technical solutions provided in the embodiments of the present disclosure, and those skilled in the art may know that, with the evolution of the system architecture and the appearance of new service scenarios, the technical solutions provided in the embodiments of the present disclosure are applicable to similar technical problems.

The embodiments of the present disclosure described below may be applied to the communication system 100 shown in fig. 1A, or a part of the main body, but are not limited thereto. The respective bodies shown in fig. 1A are examples, and the communication system may include all or part of the bodies in fig. 1A, or may include other bodies than fig. 1A, and the number and form of the respective bodies are arbitrary, and the connection relationship between the respective bodies is examples, and the respective bodies may not be connected or may be connected, and the connection may be arbitrary, direct connection or indirect connection, or wired connection or wireless connection.

Embodiments of the present disclosure may be applied to long term evolution (Long Term Evolution, LTE), LTE-Advanced (LTE-a), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, fourth generation mobile communication system (4th generation mobile communication system,4G)), fifth generation mobile communication system (5th generation mobile communication system,5G), 5G New air interface (New Radio, NR), future Radio access (Future Radio Access, FRA), new Radio access technology (New-Radio Access Technology, RAT), new Radio (New Radio, NR), new Radio access (New Radio access, NX), future generation Radio access (Future generation Radio access, FX), global System for Mobile communications (GSM (registered trademark)), CDMA2000, ultra mobile broadband (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)), land public mobile network (Public Land Mobile Network, PLMN) network, device-to-Device (D2D) system, machine-to-machine (Machine to Machine, M2M) system, internet of things (Internet of Things, ioT) system, vehicle-to-eventing (V2X), system utilizing other communication methods, next generation system extended based on them, and the like. In addition, a plurality of system combinations (e.g., LTE or a combination of LTE-a and 5G, etc.) may be applied.

Based on AI network architecture, a convergence of communication networks and AI technology is advancing. In the process, through data analysis of NWDAF mechanisms and AI/machine learning (MACHINE LEARNING, ML), the 5GC and the air interface (AIR INTERFACE) can realize intellectualization in the aspects of data collection, machine learning (MACHINE LEARNING, ML) model training, analysis reasoning and the like. By introducing 5GC support capability, AIML systems (system support for AI/ML-based services, AIMLsys) can support AL/ML operations at the application layer.

In some embodiments, the range of AL services in the communication network may be expanded, so that the intellectualization of 5GC and air interface is achieved by using AI/ML technology, automation of the communication network is provided, and efficiency of the 5G network architecture is improved.

Fig. 2A is a schematic diagram of an AI-function framework based on a communication system. As shown in fig. 2A, an AI/ML functional framework for NR air interfaces may be introduced for the RAN. The function framework 2100 may include the following five functions: a data collection function 2101, a model training function 2102, a management function 2103, an inference function 2104, and a model storage function 2105.

In some embodiments, the data collection function 2101 is used to provide input data to model training, management, reasoning, and the like. The data obtained by data collection may include at least one of: training data, monitoring data, reasoning data. The training data may be data provided to a model training function. The monitoring function may be data provided to the management function. The inference data may be data provided to an inference function.

In some embodiments, the model training function 2102 is used to implement AI/ML model training, validation, testing. Here, the model training function may generate model performance metrics as part of the model verification process. In some cases, the model training function may also be responsible for data preparation (e.g., preprocessing and cleansing of data, formatting, converting) based on training data from the data collection function. The model training function may provide a trained, validated, tested model to the model storage function, or an updated version of the model to the model storage function.

In some embodiments, the management function 2103 is used to run supervision (e.g., select, activate, deactivate, switch, rollback) and monitor (e.g., performance) of the model and its functions. In some embodiments, the management function may also be responsible for decisions to ensure that proper reasoning operations are implemented based on data from the data collection function and the reasoning function. The management indication of the management function may be information for managing the inference function. This information may include selection, activation, deactivation, switching of the model, fallback to non-AI/ML operation, etc. The model transfer request of the management function may be used to request the model from the model storage function. The management function may provide performance feedback/reservation requests to the model training function, for example, for training or updating of the model.

In some embodiments, the inference function 2104 is used to provide an output of a process that applies a model or model function. The process may use as input the data provided by the data collection function (i.e., the inferential data). In some embodiments, the reasoning function may also be responsible for data preparation (e.g., preprocessing and cleansing of data, formatting, conversion) based on training data from the data collection function. The output of the inference function can be used by the management function to monitor the performance of the model or model functions.

In some embodiments, the model storage function 2105 may be used to store trained/updated models that may be used to perform reasoning. The model storage function may pass the model to the inference function.

Fig. 2B is a schematic diagram of an ML model provisioning architecture based on a communication system. As shown in fig. 2B, NWDAF 2201 may include an analysis logic function (ANALYTICS LOGICAL FUNCTION, anLF) in the 5G system architecture. The AnLF may provide services using a trained ML model from another NWDAF 2202. Another NWDAF may include model training logic functions (model training logical function, MTLF).

In some embodiments AnLF can make inferences, obtain analysis information, and disclose analysis services.

In some embodiments, MTLF may train the ML model and disclose new training services (e.g., provide the trained ML model).

The ML model provisioning architecture shown in fig. 2B needs to be able to support the functional framework 2100 shown in fig. 2A. In some scenarios, model-based reasoning may be implemented by an access network device (e.g., a base station). This then requires the model to be sent to the base station.

Fig. 3A is a first interactive schematic diagram of a communication method provided according to an embodiment of the present disclosure. As shown in fig. 3A, embodiments of the present disclosure relate to a communication method. The communication method includes steps S3101 to S3107.

In the embodiment of the present disclosure, a core network device includes a first network element, a second network element, and a third network element, and an access network device is illustrated as a gNB.

In some embodiments, the first network element is one of: a first core network element for providing artificial intelligence management functions (e.g., AIMF), a second core network element for providing analysis data repository functions (e.g., ADRF), and a third core network element for providing network data analysis functions (e.g., NWDAF).

In some embodiments, the second network element is a fifth core network element for providing access and mobility management functions (e.g., AMF).

In some embodiments, the third network element is a fourth core network element for providing a unified data management function (e.g., UDM).

The AI/ML capability negotiation procedure between the terminal side and the network side is described below using the first network element as the first core network element (AIMF), and the following steps may be executed by AIMF, or may be executed by ADRF or NWDAF.

In step S3101, the terminal transmits a fifth message.

In some embodiments, the AMF receives the fifth message.

In some embodiments, the terminal sends the fifth message to the AMF through the gNB.

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).

In some embodiments, the fifth message carries first information indicating AI/ML capabilities of the terminal.

In an example, the first information is used to indicate AI/ML capabilities of the terminal, such as: the first information is AI/ML information (e.g., AI/ML information).

In an example, the first information is used to indicate AI capabilities of the terminal. For example: the first information may be AI information (e.g., AI information).

In an example, the first information is used to indicate ML capabilities of the terminal. For example: the first information may be ML information (e.g., ML information).

In some embodiments, the first information includes at least one of third information and fourth information. Third information for indicating the terminal's supporting ability for AI/ML; fourth information indicating the first AI/ML model or the first AI/ML function supported by the terminal.

In an 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).

In an example, the third information is used to indicate the terminal's support capability for AI. For example, the third information is AI capabilities (e.g., AI capabilities).

In an example, the third information is used to indicate the support capability of the terminal for ML. For example, the third information is ML capabilities (e.g., AI capabilities).

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

In an example, the fourth information is used to indicate AI models supported by the terminal. For example, the fourth information is an AI model (e.g., AI model).

In an example, the fourth information is used to indicate ML models supported by the terminal. For example, the fourth information is an ML model (e.g., ML model).

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.

In an example, the identification information of the first AI/ML model may be an ID of the first AI/ML model, such as: AI/ML model IDs.

In an 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.

In step S3102, the AMF transmits a fourth message.

In some embodiments, the UDM receives the fourth message.

In some embodiments, the fourth message is for requesting to query the terminal for AI/ML subscription information indicating authorization status of AI/ML services associated with the terminal.

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.

In an embodiment, in case the UDM receives the fourth message, the UDM may query the subscription information of AI/ML of the terminal.

In some embodiments, in a case where the UDM inquires the subscription information of the AI/ML of the terminal, the UDM performs step S3103, and in a case where the UDM does not inquire the subscription information of the AI/ML of the terminal, the UDM may send a seventh message indicating that the subscription information of the AI/ML of the terminal does not exist in the network.

In some embodiments, step S3102 may be omitted. That is, after step S3101, step S3103 may be directly performed without performing step S3102.

In step S3103, the UDM transmits a third message.

In some embodiments, the AMF receives the third message.

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

In some embodiments, in case 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.

In some embodiments, step S3104 is performed in the event that the third message indicates that the terminal is authorized to use the first service.

In some embodiments, step S3102 and step S3103 may be omitted, i.e., step S3104 may be performed directly after step S3101.

In step S3104, the AMF transmits a first message.

In some embodiments, AIMF receives the first message.

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).

In some embodiments, the first message carries first information.

In some embodiments, step S3105 may also be omitted, i.e., after step S3104, step S3106 is directly performed without performing step S3105.

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

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

In an example, the first information (AI/ML information) is included in AI/ML context information (e.g., UE AI/ML context) associated with the terminal.

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

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

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

In step S31051, AIMF sends a seventh message to the AMF.

In some embodiments, the seventh message is for requesting identity information of the terminal.

In step S31052, the AMF transmits a ninth message to the terminal.

In some embodiments, the ninth message is for requesting identity information of the terminal.

In an example, the seventh message is an identity request message (e.g., identity rquest).

In an example, the ninth message is an identity request message (e.g., identity request).

In step S31053, the terminal transmits a tenth message to the AMF.

In some embodiments, the tenth message is for responding to an identity request of the terminal.

In an example, the tenth message is an identity response message (e.g., identity response).

In some embodiments, the tenth message carries eighth information, where the eighth information is used to indicate the identity of the terminal.

In an example, the eighth information is identity information (e.g., identity information) of the terminal.

In step S31054, the AMF sends an eighth message to AIMF.

In some embodiments, the eighth message is for responding to an identity request of the terminal.

In some embodiments, the eighth message carries eighth information.

In step S31055, AIMF creates/updates context information for AI/ML associated with the terminal.

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

In some embodiments, the AMF receives the second message.

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).

In some embodiments, the second message carries second information, where the second information is used to indicate AI/ML capabilities on the network side.

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

In some embodiments, the sixth information comprises: identification information of the second AI/ML model and/or identification information of the second AI/ML function.

In some embodiments, step S3106 may also be omitted from being performed, and at this time, it may be understood that the terminal sends the AI/ML capabilities of the terminal to AIMF through the fifth message and the first message, AIMF does not respond, i.e., AIMF does not send the AI/ML capabilities of the network to the terminal.

In some embodiments, in the case where step S3106 is performed, it may be understood that at this time, the terminal transmits AI/ML capabilities (first information) of the terminal to AIMF through the fifth message and the first message, and AIMF transmits AI/ML capabilities (second information) of the network to the terminal. That is, the AI/ML capability of the terminal for transmitting itself and the AI/ML capability of the network side for transmitting itself may not be associated with each other, and the first information and the second information may be the same or different.

In some embodiments, 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, as performed at step S3106.

At this time, it can be understood that the terminal transmits AI/ML capabilities of the terminal to AIMF through the fifth message and the first message, AIMF selects at least a part of AI/ML models supported by the network from the first AI/ML models supported by the terminal as the second AI/ML models to be transmitted to the terminal; or AIMF selects at least a part of the network-supported AI/ML functions from the first AI/ML functions supported by the terminal as the second AI/ML functions to transmit to the terminal. That is, the network side determines the second information based on the first information. I.e. the second information is at least partly identical to the first information.

In some embodiments, the second information may further include seventh information indicating a latest version of the second AI/ML model or a latest version of the second AI/ML function. At this time, it can be understood that: for the case that the network side selects at least one part of the self-supported models from the AI/ML models supported by the terminal as the second AI/ML model to issue, AIMF can perform version check on the selected models and send the latest version of the second AI/ML model; or for the case that the network side selects at least a part of the self-supported functions from the AI/ML functions supported by the terminal as the second AI/ML functions to issue, AIMF may perform version check for the selected functions and send the latest version of the second AI/ML functions.

In step S3107, the AMF transmits a sixth message.

In some embodiments, the terminal receives the sixth message.

In some embodiments, the sixth message may be a registration response message (e.g., registration response), or an AI registration response message (e.g., AI registration response), or an ML registration response message (e.g., ML registration response).

In some embodiments, the sixth message may carry second information indicating AI/ML capabilities on the network side.

In an embodiment, the sixth message is used to indicate that AI/ML registration of the terminal fails in case the third message indicates that the terminal is not authorized to use the first service. At this time, the sixth message may be a registration reject message (e.g., registration reject).

In some embodiments, in the above steps S3101 to S3107, the steps S3101 and S3104 may be used to transmit AI/ML capability information of the terminal to the network. Step S3106 and step S3107 may be used to transmit capability information of AI/ML of the network to the terminal.

In some embodiments, in the above steps S3101 to S3107, the AI/ML capability negotiation process between the terminal side and the network side may be carried in the registration procedure or may be carried in another communication procedure, which is not limited thereto.

The communication method according to the embodiment of the present disclosure may include at least one of step S3101 to step S3107. For example, step S3101 may be implemented as a stand-alone embodiment. For example, step S3102 may be implemented as a stand-alone embodiment. For example, step S3103 may be implemented as a stand-alone embodiment. For example, step S3104 may be implemented as a stand-alone embodiment. For example, step S3105 may be implemented as a stand-alone embodiment. For example, step S3106 may be implemented as a stand-alone embodiment. For example, step S3107 may be implemented as a stand-alone embodiment.

For example, the combination of step S3102 and step S3103 may be implemented as a separate embodiment. The combination of step S3104 and step S3106 may be implemented as a stand-alone embodiment. For example, the combination of step S3104, step S3105 and step S3106 may be implemented as a stand-alone embodiment. For example, the combination of step S3103, step S3104 and step S3106 may be implemented as a stand-alone embodiment. For example, the combination of step S3101, step S3104, step S3106, and step S3107 may be implemented as a separate embodiment. For example, the combination of step S3103, step S3104, step S3105 and step S3106 may be implemented as a separate embodiment. For example, the combination of step S3101, step S3103, step S3104, step S3105, step S3106, and step S3107 may be implemented as a stand-alone embodiment. For example, the combination of step S3101, step S3104, step S3105, step S3106, and step S3107 may be implemented as a stand-alone embodiment. But is not limited thereto.

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

Fig. 3B is a second interaction schematic of a communication method provided according to an embodiment of the present disclosure. As shown in fig. 3B, embodiments of the present disclosure relate to a communication method. The communication method includes steps S3201 to S3205.

In the embodiment of the present disclosure, a core network device includes a first network element and a third network element, and an access network device is illustrated as a gNB.

In some embodiments, the first network element is a fifth core network element for providing access and mobility management functions (AMFs).

In some embodiments, the third network element is a fourth core network element for providing a unified data management function (UDM).

In step S3201, the terminal transmits a fifth message.

Alternative implementations of step S3201 may refer to alternative implementations of step S3101 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In step S3202, the AMF transmits a fourth message.

Alternative implementations of step S3202 may refer to alternative implementations of step S3102 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In step S3203, the UDM transmits a third message.

Alternative implementations of step S3203 may refer to alternative implementations of step S3103 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

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

In some embodiments, step S3204 includes steps S32041 through S32042.

In step S32041, the AMF transmits a ninth message to the terminal.

In step S32042, the terminal transmits a tenth message to the AMF.

In step S32043, AIMF creates/updates context information for AI/ML associated with the terminal.

Alternative implementations of step S3204 may refer to alternative implementations of step S3105 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In step S3205, the AMF transmits a sixth message.

Alternative implementations of step S3205 may refer to alternative implementations of step S3107 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In some embodiments, in the above steps S3201 to S3205, the step S3201 may be used to report AI/ML capability information of the terminal to a network. Step S3205 may be used to issue AI/ML capability information for the network to the terminal.

The communication method according to the embodiments of the present disclosure may include at least one of step S3201 to step S3205. For example, step S3201 may be implemented as a stand-alone embodiment. For example, step S3202 may be implemented as a stand-alone embodiment. For example, step S3203 may be implemented as a stand-alone embodiment. For example, step S3204 may be implemented as a stand-alone embodiment. For example, step S3205 may be implemented as a stand-alone embodiment.

For example, the combination of step S3202 and step S3203 may be implemented as a stand-alone embodiment. The combination of step S3201 and step S3205 may be implemented as a stand-alone embodiment. For example, the combination of step S3201, step S3204, and step S3205 may be implemented as a stand-alone embodiment. For example, the combination of step S3203, step S3204, and step S3205 may be implemented as a stand-alone embodiment. For example, the combination of step S3201, step S3203, step S3204, and step S3205 may be implemented as a stand-alone embodiment. But is not limited thereto.

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

Fig. 3C is a third interactive schematic diagram of a communication method provided according to an embodiment of the present disclosure. As shown in fig. 3C, embodiments of the present disclosure relate to a communication method. The communication method includes steps S3301 to S3307.

In the embodiment of the present disclosure, a core network device includes a first network element and a second network element, and an access network device is illustrated as a gNB.

In some embodiments, the first network element is a fourth core network element for providing a unified data management function (UDM).

In some embodiments, the second network element is a fifth core network element for providing access and mobility management functions (AMFs).

In step S3301, the terminal transmits a fifth message.

Alternative implementations of step S3301 may refer to alternative implementations of step S3101 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In step S3302, the AMF sends a fourth message.

Alternative implementations of step S3302 may refer to alternative implementations of step S3102 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In step S3303, the UDM sends a third message.

Alternative implementations of step S3303 may refer to alternative implementations of step S3103 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In step S3304, the AMF transmits a first message.

Alternative implementations of step S3304 may refer to alternative implementations of step S3104 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

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

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

In step S33051, AIMF sends a seventh message to the AMF.

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

In step S33053, the terminal transmits a tenth message to the AMF.

In step S33054, the AMF sends an eighth message to AIMF.

In some embodiments, the eighth message carries eighth information.

In step S33055, AIMF creates/updates context information for AI/ML associated with the terminal.

Alternative implementations of step S3305 may refer to alternative implementations of step S3105 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In step S3306, the UDM sends a second message.

Alternative implementations of step S3306 may refer to alternative implementations of step S3106 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In step S3307, the AMF transmits a sixth message.

Alternative implementations of step S3307 may refer to alternative implementations of step S3107 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In the above steps S3301 to S3307, the steps S3301 and S3304 may be used to report AI/ML capability information of the terminal to the network. Step S3306 and step S3307 may be used to issue AI/ML capability information of the network to the terminal.

The communication method according to the embodiment of the present disclosure may include at least one of step S3301 to step S3307. For example, step S3301 may be implemented as a separate embodiment. For example, step S3302 may be implemented as a separate embodiment. For example, step S3303 may be implemented as a separate embodiment. For example, step S3304 may be implemented as a separate embodiment. For example, step S3305 may be implemented as a separate embodiment. For example, step S3306 may be implemented as a separate embodiment. For example, step S3307 may be implemented as a separate embodiment.

For example, the combination of step S3302 and step S3303 may be implemented as a separate embodiment. The combination of step S3304 and step S3306 may be implemented as a separate embodiment. For example, the combination of step S3304, step S3305, and step S3306 may be implemented as a separate embodiment. For example, the combination of step S3303, step S3304, and step S3306 may be implemented as a separate embodiment. For example, the combination of step S3301, step S3304, step S3306, and step S3307 may be implemented as a separate embodiment. For example, the combination of step S3303, step S3304, step S3305, and step S3306 may be implemented as a separate embodiment. For example, the combination of step S3301, step S3303, step S3304, step S3305, step S3306, and step S3307 may be implemented as a separate embodiment. For example, the combination of step S3301, step S3304, step S3305, step S3306, and step S3307 may be implemented as a separate embodiment. But is not limited thereto.

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

In some embodiments, the names of information and the like are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "instruction", "command", "channel", "parameter", "field", "symbol", "codebook", "code word", "code point", "codepoint", "bit", "data", "program", "chip", and the like may be replaced with each other.

In some embodiments, the terms "AI/ML", "AI", "ML", and the like may be interchanged.

In some embodiments, the terms "carry," "include," "comprise," and the like may be used interchangeably.

In some embodiments, terms such as "radio," "wireless," "radio access network," "RAN," and "RAN-based" may be used interchangeably.

In some embodiments, "acquire," "obtain," "receive," "transmit," "bi-directional transmit," "send and/or receive" may be used interchangeably and may be interpreted as receiving from other principals, acquiring from protocols, acquiring from higher layers, processing itself, autonomous implementation, etc.

In some embodiments, terms such as "send," "transmit," "report," "transmit," "request," "bi-directional transmit," "send and/or receive," and the like may be used interchangeably.

In some embodiments, the terms "issue", "return", "feedback", "response", "reply" and the like may be interchanged.

In some embodiments, terms such as "specific (certains)", "predetermined (preseted)", "preset", "set", "indicated (indicated)", "certain", "arbitrary", "first", and the like may be replaced with each other, and "specific a", "predetermined a", "preset a", "set a", "indicated a", "certain a", "arbitrary a", "first a" may be interpreted as a predetermined in a protocol or the like, may be interpreted as a obtained by setting, configuring, or indicating, or the like, may be interpreted as specific a, certain a, arbitrary a, or first a, or the like, but are not limited thereto.

In some embodiments, the determination or judgment may be performed by a value (0 or 1) expressed in 1 bit, may be performed by a true-false value (boolean) expressed in true (true) or false (false), or may be performed by a comparison of values (e.g., a comparison with a predetermined value), but is not limited thereto.

Fig. 4A is a schematic flow chart of a first implementation of a communication method performed by a first network element according to an embodiment of the disclosure. As shown in fig. 4A, embodiments of the present disclosure relate to a communication method performed by a first network element. The above communication method includes steps S4101 to S4103.

In some embodiments, the first network element is one of:

a first core network element for providing Artificial Intelligence Management Functions (AIMF).

A second core network element for providing an Analysis Data Repository Function (ADRF).

A third core network element for providing a network data analysis function (NWDAF).

In step S4101, a first message is received.

Alternative implementations of step S4101 may refer to alternative implementations of step S3104 of fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In step S4102, context information for AI/ML associated with the terminal is determined.

Alternative implementations of step S4102 may refer to alternative implementations of step S3105 of fig. 3A, and other relevant parts of the embodiment related to fig. 3A, which are not described herein.

In step S4103, a second message is sent.

Alternative implementations of step S4103 may refer to alternative implementations of step S3106 of fig. 3A, and other relevant parts of the embodiment related to fig. 3A, which are not described herein.

As shown in fig. 4B, fig. 4B is a schematic flow chart illustrating a second implementation of the communication method performed by the first network element according to an embodiment of the disclosure. Embodiments of the present disclosure relate to a communication method performed by a first network element. The above communication method includes steps S4201 to S4205.

In step S4201, a fifth message is received.

Alternative implementations of step S4201 may refer to alternative implementations of step S3201 of fig. 3B, and other relevant parts of the embodiment related to fig. 3B, which are not described herein.

In step S4202, a fourth message is transmitted.

Alternative implementations of step S4202 may refer to alternative implementations of step S3202 of fig. 3B, and other relevant parts of the embodiment related to fig. 3B, which are not described herein.

In step S4203, a third message is received.

Alternative implementations of step S4203 may refer to alternative implementations of step S3203 of fig. 3B, and other relevant parts of the embodiment related to fig. 3B, which are not described herein.

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

Alternative implementations of step S4204 may refer to alternative implementations of step S3204 of fig. 3B, and other relevant parts of the embodiment related to fig. 3B, which are not described herein.

In step S4205, a sixth message is transmitted.

Alternative implementations of step S4205 may refer to alternative implementations of step S3205 of fig. 3B, and other relevant parts of the embodiment related to fig. 3B, which are not described herein.

As shown in fig. 4C, fig. 4C is a schematic flow chart illustrating a third implementation of the communication method performed by the first network element according to an embodiment of the disclosure. Embodiments of the present disclosure relate to a communication method performed by a first network element. The above communication method includes steps S4301 to S4305.

In step S4301, a fourth message is received.

Alternative implementations of step S4301 may refer to alternative implementations of step S3302 of fig. 3C, and other relevant parts of the embodiment related to fig. 3C, which are not described herein.

In step S4302, a third message is sent.

Alternative implementations of step S4302 may refer to alternative implementations of step S3303 of fig. 3C, and other relevant parts of the embodiment related to fig. 3C, which are not described herein.

In step S4303, a first message is received.

Alternative implementations of step S4303 may refer to alternative implementations of step S3304 of fig. 3C, and other relevant parts of the embodiment related to fig. 3C, which are not described herein.

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

Alternative implementations of step S4304 may refer to alternative implementations of step S3305 of fig. 3C, and other relevant parts of the embodiment related to fig. 3C, which are not described herein.

In step S4305, a second message is sent.

Alternative implementations of step S4305 may refer to alternative implementations of step S3306 of fig. 3C, and other relevant parts of the embodiment related to fig. 3C, which are not described herein.

Fig. 4D is a flowchart illustrating an implementation of a communication method performed by a second network element according to an embodiment of the disclosure. As shown in fig. 4D, embodiments of the present disclosure relate to a communication method performed by a second network element. The above communication method includes steps S4401 to S4406.

In step S4401, a fifth message is received.

Alternative implementations of step S4401 may refer to alternative implementations of step S3101 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In step S4402, a fourth message is sent.

Alternative implementations of step S4402 may refer to alternative implementations of step S3102 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In step S4403, a third message is received.

Alternative implementations of step S4403 may refer to alternative implementations of step S3103 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In step S4404, a first message is transmitted.

Alternative implementations of step S4404 may refer to alternative implementations of step S3104 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In step S4405, a second message is received.

Alternative implementations of step S4405 may refer to alternative implementations of step S3106 of fig. 3A, and other relevant parts of the embodiment related to fig. 3A, which are not described herein.

In step S4406, a sixth message is sent.

Alternative implementations of step S4406 may refer to alternative implementations of step S3107 of fig. 3A, and other relevant parts of the embodiment related to fig. 3A, which are not described herein.

Fig. 4E is a schematic flow chart illustrating an implementation of a communication method performed by a terminal according to an embodiment of the disclosure. As shown in fig. 4E, embodiments of the present disclosure relate to a communication method, which is performed by a terminal. The communication method described above includes steps S601 to S602.

In step S4501, a fifth message is transmitted.

Alternative implementations of step S4501 may refer to alternative implementations of step S3101 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In step S4502, a sixth message is received.

Alternative implementations of step S4502 may refer to alternative implementations of step S3107 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

Fig. 5A is a schematic flow chart of another implementation of a communication method performed by a first network element according to an embodiment of the disclosure. As shown in fig. 5A, embodiments of the present disclosure relate to a communication method performed by a first network element. The above communication method includes steps S5101 to S5102.

In step S5101, a first message is received.

Alternative implementations of step S5101 may refer to alternative implementations of step S3104 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In some embodiments, the method may include the method described in the embodiment of the first network element side and the like, which is not described herein.

Fig. 5B is a flowchart illustrating another implementation of a communication method performed by a second network element according to an embodiment of the disclosure. As shown in fig. 5A, embodiments of the present disclosure relate to a communication method performed by a second network element. The above communication method includes steps S5101 to S5102.

In step S5201, a first message is sent.

Alternative implementations of step S5201 may refer to alternative implementations of step S3104 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In some embodiments, the method may include the method described in the embodiment of the second network element side and the like, which is not described herein.

Fig. 5C is a schematic flow chart illustrating an implementation of a communication method performed by a terminal according to an embodiment of the disclosure. As shown in fig. 5B, embodiments of the present disclosure relate to a communication method, which is performed by a terminal. The above communication method includes step S5201.

In step S5301, a fifth message is transmitted.

Alternative implementations of step S5301 may refer to alternative implementations of step S3101 in fig. 3A, and other relevant parts in the embodiment related to fig. 3A, which are not described herein.

In some embodiments, the method may include the method described in the embodiments of the terminal side and the like, which is not described herein.

In some embodiments, as shown in fig. 3A, the UE sends a registration request to the AMF through the gNB, the registration request including first information indicating AI/ML capabilities of the terminal.

In some embodiments, the first information includes at least one of: the terminal support capability of the terminal to the 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 may be contained in an AI/ML container (AI/ML container).

In some embodiments, the AMF sends a fourth message to the UDM, the fourth message being used to check whether the UE has subscribed to AI/ML services and has authorization to use AI/ML related services.

In some embodiments, if the UE has not subscribed to the AI/ML-related service, the UDM sends a third message to the AMF, which may indicate that the UE is not authorized to use the AI/ML-related service.

In some embodiments, in the event that the third message indicates that the UE is authorized to use the AI/ML-related service, the AMF sends an AI/ML model registration message to AIMF, the AI/ML model registration message including the first information.

In some embodiments, AIMF creates a UE AI/ML context, which includes the first information.

In some embodiments, AIMF sends an AI model registration response message to the AMF, the AI model registration response message including second information indicating AI/ML capabilities of the network.

In some embodiments, the second information includes at least one of: the support capability of the network to the AI/ML, the AI/ML model ID of the network support, the AI/ML function ID of the terminal support, the latest version of the AI/ML model of the network support, the latest version of the AI/ML function of the terminal support.

In some embodiments, the network side checks whether the AI/ML model ID reported by the terminal is the latest version.

In some embodiments, the AMF sends, to the UE via the gNB, a registration accept message comprising the second information.

The embodiments of the present disclosure also provide an apparatus for implementing any of the above methods, for example, providing a terminal, where the terminal includes a unit or a module configured to implement each step performed by the terminal in any of the above methods. As another example, another network device is also proposed, which includes a unit or a module configured to implement steps performed by the network device (e.g. the access network device, the core network function node, the core network device, etc.) in any of the above methods.

It should be understood that the division of each unit or module in the above apparatus is merely a division of a logic function, and may be fully or partially integrated into one physical entity or may be physically separated when actually implemented. Furthermore, units or modules in the apparatus may be implemented in the form of processor-invoked software: the device comprises, for example, a processor, the processor being connected to a memory, the memory having instructions stored therein, the processor invoking the instructions stored in the memory to perform any of the methods or to perform the functions of the units or modules of the device, wherein the processor is, for example, a general purpose processor, such as a central processing unit (Central Processing Unit, CPU) or microprocessor, and the memory is internal to the device or external to the device. Or a unit or module in the apparatus may be implemented in the form of a hardware circuit, and the functions of some or all of the unit or module may be implemented by the design of the hardware circuit, where the hardware circuit may be understood as one or more processors; for example, in one implementation, the hardware circuit is an application-specific integrated circuit (ASIC), and the functions of some or all of the units or modules are implemented by designing a logic relationship of elements in the circuit; for another example, in another implementation, the hardware circuit may be implemented by a programmable logic device (programmable logic device, PLD), for example, a field programmable gate array (Field Programmable GATE ARRAY, FPGA), which may include a large number of logic gates, and the connection relationship between the logic gates is configured by a configuration file, so as to implement the functions of some or all of the units or modules. All units or modules of the above device may be realized in the form of invoking software by a processor, or in the form of hardware circuits, or in part in the form of invoking software by a processor, and in the rest in the form of hardware circuits.

In the disclosed embodiments, the processor is a circuit with signal processing capabilities, and in one implementation, the processor may be a circuit with instruction reading and running capabilities, such as a central processing unit (Central Processing Unit, CPU), a microprocessor, a graphics processor (graphics processing unit, GPU) (which may be understood as a microprocessor), or a digital signal processor (DIGITAL SIGNAL processor, DSP), etc.; in another implementation, the processor may implement a function through a logic relationship of hardware circuits that are fixed or reconfigurable, such as a hardware circuit implemented as an application-specific integrated circuit (ASIC) or a programmable logic device (programmable logic device, PLD), such as an FPGA. In the reconfigurable hardware circuit, the processor loads the configuration document, and the process of implementing the configuration of the hardware circuit may be understood as a process of loading instructions by the processor to implement the functions of some or all of the above units or modules. Furthermore, a hardware circuit designed for artificial intelligence may be also be considered as an ASIC, such as a neural network Processing Unit (Neural Network Processing Unit, NPU), tensor Processing Unit (Tensor Processing Unit, TPU), deep learning Processing Unit (DEEP LEARNING Processing Unit, DPU), and the like.

Fig. 6A is a schematic structural diagram of a core network device according to an embodiment of the present disclosure. As shown in fig. 6A, the core network device 6100 may include: a first transceiver module 6101. In some embodiments, the first transceiver module 6101 is configured to receive first information indicating AI/ML capabilities of a terminal. In some embodiments, the first transceiver module 6101 is configured to perform at least one of the communication steps (e.g., step S4101, step S4102, step S4103, step S4201, step S4202, step S4203, step S4204, step S4205, but not limited thereto) performed by the core network device in any of the above methods, and will not be described herein.

Fig. 6B is an exemplary block diagram of a core network device provided according to an embodiment of the present disclosure. As shown in fig. 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 transmit first information indicating AI/ML capabilities of the terminal. In some embodiments, the second transceiver module 6201 may be configured to perform at least one of the communication steps (e.g. step S4401, step S4402, step S4403, step S4404, step S4405, step S4406, but not limited thereto) of the sending and/or receiving performed by the core network device in any of the above methods, which is not described herein.

Fig. 6C is an exemplary block diagram of a terminal provided according to an embodiment of the present disclosure. As shown in fig. 6C, the terminal 6300 may include a second transceiver module 6301. In some embodiments, the third transceiver module 6301 may be configured to transmit first information indicating AI/ML capabilities of the terminal. In some embodiments, the third transceiver module 6301 may be configured to perform at least one of the communication steps (e.g., step S4501, step S4502, but not limited thereto) performed by the terminal in any of the above methods, which is not described herein.

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 may be integrated. Alternatively, the transceiver module may be replaced with a transceiver.

Fig. 7 is a schematic structural diagram of a communication device provided according to an embodiment of the present disclosure. The communication device 7100 may be a core network device, a terminal (e.g., a user equipment, etc.), a chip system, a processor, etc. that supports the network device to implement any of the above methods, or a chip, a chip system, a processor, etc. that supports the terminal to implement any of the above methods. The communication device 7100 may be used to implement the methods described in the above method embodiments, and may be referred to in particular in the description of the above method embodiments.

As shown in fig. 7, the communication device 7100 includes one or more processors 7101. The processor 7101 may be a general-purpose processor or a special-purpose processor, etc., and may be, for example, a baseband processor or a central processing unit. The baseband processor may be used to process communication protocols and communication data, and the central processor may be used to control communication devices (e.g., base stations, baseband chips, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process data for the programs. Optionally, the communication device 7100 is used to perform any of the above methods. Optionally, the one or more processors 7101 are configured to invoke instructions to cause the communication device 7100 to perform any of the methods above.

In some embodiments, the communication device 7100 also 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., but not limited to, step S3101, step S3102, step S3103, step S3104, step S3106, step S3107) of the above-described method, and the transceiver 7100 performs at least one of the other steps (e.g., but not limited to, step S3105). In alternative embodiments, the transceiver 7102 may include a receiver and/or a transmitter, which may be separate or integrated. Alternatively, terms such as transceiver, transceiver unit, transceiver circuit, interface, etc. may be replaced with each other, terms such as transmitter, transmitter unit, transmitter circuit, etc. may be replaced with each other, and terms such as receiver, receiving unit, receiver, receiving circuit, etc. may be replaced with each other.

In some embodiments, the communication device 7100 also includes one or more memories 7103 for storing data. Alternatively, all or part of the memory 7103 may be external to the communication device 7100. In alternative embodiments, the communication device 7100 may include one or more interface circuits 7104. Optionally, the interface circuit 7104 is coupled to the memory 7103, and the interface circuit 7104 may be configured to receive data from the memory 7103 or other device and may be configured to transmit data to the memory 7103 or other device. For example, the interface circuit 7104 may read data stored in the memory 7103 and send the data to the processor 7101.

The communication device 7100 in the above embodiment description 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 a stand-alone device or may be part of a larger device. For example, the communication device may be: 1) A stand-alone integrated circuit IC, or chip, or a system-on-a-chip or subsystem; (2) A set of one or more ICs, optionally including storage means for storing data, programs; (3) an ASIC, such as a Modem (Modem); (4) modules that may be embedded within other devices; (5) A receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handset, a mobile unit, a vehicle-mounted device, a network device, a cloud device, an artificial intelligent device, and the like; (6) others, and so on.

Fig. 8 is a schematic structural diagram of a chip provided according to an embodiment of the present disclosure. For the case where the communication device 7100 may be a chip or a chip system, reference may be made to a schematic structural diagram of the chip 8100 shown in fig. 8, but is not limited thereto.

The chip 8100 includes one or more processors 8101. The chip 8100 is used to perform any of the above methods.

In some embodiments, the chip 8100 further includes one or more interface circuits 8102. Alternatively, the terms interface circuit, interface, transceiver pin, etc. may be interchanged. In some embodiments, the chip 8100 further includes one or more memories 8103 for storing data. Alternatively, all or part of the memory 8103 may be external to the chip 8100. Optionally, an interface circuit 8102 is coupled to the memory 8103, the interface circuit 8102 may be configured to receive data from the memory 8103 or other device, and the interface circuit 8102 may be configured to transmit data to the memory 8103 or other device. For example, the interface circuit 8102 may read data stored in the memory 8103 and transmit the data to the processor 8101.

In some embodiments, the interface circuit 8102 performs at least one of the communication steps (e.g., but not limited to, step S3101, step S3102, step S3103, step S3104, step S3106, step S3107) of the above-described methods, such as transmission and/or reception. The interface circuit 8102 performs the communication steps such as transmission and/or reception in the above-described method, for example, by: the interface circuit 8102 performs data interaction between the processor 8101, the chip 8100, the memory 8103, or a transceiver device. In some embodiments, processor 8101 performs at least one of the other steps (e.g., step S3105, but is not limited thereto).

The modules and/or devices described in the embodiments of the virtual device, the physical device, the chip, etc. may be arbitrarily combined or separated according to circumstances. Alternatively, some or all of the steps may be performed cooperatively by a plurality of modules and/or devices, without limitation.

The disclosed embodiments also provide a storage medium having instructions stored thereon that, when executed on a communication device 7100, cause the communication device 7100 to perform any of the above methods. Optionally, the storage medium is an electronic storage medium. Alternatively, the storage medium described above is a computer-readable storage medium, but is not limited thereto, and it may be a storage medium readable by other devices. Alternatively, the above-described storage medium may be a non-transitory (non-transitory) storage medium, but is not limited thereto, and it may also be a transitory storage medium.

The disclosed embodiments also propose a program product which, when executed by the communication device 7100, causes the communication device 7100 to perform any of the above methods. Optionally, the above-described program product is a computer program product.

The disclosed embodiments also propose a computer programme, which when run on a computer, causes the computer to carry out any of the above methods.

Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.

It is to be understood that the invention is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

Claims

1. A method of communication performed by a first network element, the method comprising:

first information is received, the first information being for indicating an artificial intelligence AI/machine learning ML capability of the terminal.

2. The method of claim 1, wherein the first information comprises at least one of:

Third information for indicating the AI/ML supporting capability of the terminal;

Fourth information indicating the first AI/ML model or the first AI/ML function supported by the terminal.

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

4. A method according to any one of claims 1 to 3, wherein the first information is carried on a first message, the first message being a registration request message.

5. The method of any one of claims 1 to 4, wherein the method further comprises:

based on the first information, AI/ML context information associated with the terminal is determined.

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

7. The method of any of claims 1-6, wherein the determining, based on the first information, AI/ML context information associated with the terminal comprises one of:

Creating context information of AI/ML associated with the terminal based on the first information;

Based on the first information, the context information of AI/ML associated with the terminal is updated.

8. The method of any one of claims 1 to 7, wherein the method further comprises:

And sending second information, wherein the second information is used for indicating the AI/ML capability of the network side.

9. The method of claim 8, wherein the second information comprises at least one of:

fifth information, the fifth information is used for indicating the supporting capability of the network side to the AI/ML;

And sixth information for indicating a second AI/ML model or a second AI/ML function supported by the network side.

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

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

12. The method of claim 11, wherein the second information further comprises: seventh information indicating the latest version of the second AI/ML model or the latest version of the second AI/ML function.

13. The method of any of claims 8 to 12, wherein the second information is carried on a second message, the second message being a registration response message.

14. The method of any of claims 1 to 13, wherein the first network element is one of:

15. The method of 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 a second network element, the second network element is a fifth core network element, and the fifth core network element is configured to provide access and mobility management functions.

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

17. The method according to any 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 said receiving the first information, the method further comprises:

and transmitting a third message for indicating that the terminal is authorized to use the service of the AI/ML.

18. The method of claim 17, wherein prior to the sending the third message, the method further comprises:

And receiving a fourth message, wherein the fourth message is used for requesting to inquire the subscription information of the AI/ML associated with the terminal, and the subscription information is used for indicating the authorization condition of the service of the AI/ML associated with the terminal.

19. The method of 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 of claim 19, wherein the second information is transmitted to the terminal.

21. The method of claim 19 or 20, wherein prior to the receiving the first information, the method further comprises:

A third message is received indicating that the terminal is authorized to use the AI/ML service.

22. The method of claim 21, wherein prior to the receiving the third message, the method further comprises:

And sending a fourth message, wherein the fourth message is used for requesting to inquire the subscription information of the AI/ML associated with the terminal, and the subscription information is used for indicating the authorization condition of the service of the AI/ML associated with the terminal.

23. A method of communication performed by a second network element, the method comprising:

and transmitting first information, wherein the first information is used for indicating the AI/ML capability of the terminal.

24. The method of claim 23, wherein the first information comprises at least one of:

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

26. The method of any of claims 23 to 25, wherein the first information is carried on a first message, the first message being a registration request message.

27. The method of any one of claims 23 to 26, wherein the method further comprises:

and receiving second information, wherein the second information is used for indicating the AI/ML capability of the network side.

28. The method of claim 27, wherein the second information comprises at least one of:

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

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

31. The method of claim 30, wherein the second information further comprises: seventh information indicating the latest version of the second AI/ML model or the latest version of the second AI/ML function.

32. A method according to any one of claims 27 to 31, wherein the second information is carried on a second message, the second message being a registration response message.

33. The method of any of claims 23 to 32, wherein prior to the sending the first information, the method further comprises:

34. The method of claim 33, wherein prior to the receiving the third message, the method further comprises:

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

36. The method of claim 35, wherein prior to the sending the first information, the method further comprises:

And receiving a fifth message from the terminal, wherein the fifth message carries the first information, and the fifth message is a registration request message.

37. The method of claim 35, wherein the method further comprises:

and sending a sixth message to the terminal, wherein 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 of any 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:

And the fourth core network element is used for providing a unified data management function.

39. The method of claim 38, wherein the second information is transmitted by a first network element.

40. A communication method performed by a terminal, the method comprising:

41. The method of claim 40, wherein the first information includes at least one of:

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

43. The method of any one of claims 40 to 42, wherein the first information is carried on a fifth message, the fifth message being a registration request message.

44. The method of any one of claims 40 to 43, wherein the method further comprises:

45. The method of claim 44, wherein the second information includes at least one of:

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

47. The method of claim 45 or 46, wherein the second AI/ML model is at least a portion of the first AI/ML model and a 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 further comprises: seventh information indicating the latest version of the second AI/ML model or the latest version of the second AI/ML function.

49. A method as claimed in any one of claims 44 to 48, wherein the second information is carried on a sixth message, the sixth message being a registration response message.

50. A method of communication performed by a core network, the method comprising:

receiving first information from a terminal, wherein the first information is used for indicating AI/ML (advanced technology information) capability of the terminal;

and sending second information to the terminal, wherein the second information is used for indicating the AI/ML capability of the network side.

51. A core network device, comprising:

And a first transceiver module configured to receive first information indicating AI/ML capabilities of the terminal.

52. A core network device, comprising:

and the second transceiver module is configured to send first information, wherein the first information is used for indicating the AI/ML capability of the terminal.

53. A terminal, comprising:

and a third transceiver module configured to transmit first information indicating AI/ML capabilities of the terminal.

54. A core network device, comprising:

one or more processors;

Wherein the core network device is configured to perform the communication method of any one of claims 1 to 39.

55. A terminal, comprising:

one or more processors;

Wherein the terminal is configured to perform the communication method of 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 of any of claims 1 to 39; the terminal is configured to implement the communication method of any of claims 40 to 49.

57. A storage medium storing instructions which, when run on a core network device or a terminal, cause the core network device or the terminal to perform the communication method of any one of claims 1 to 49.

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