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

Abstract

The invention provides a management method and device, equipment and a storage medium, and the method comprises the steps: receiving first information, the first information is used for indicating a first parameter corresponding to at least one artificial intelligence (AI) function supported by a terminal, the first parameter is a parameter except a second parameter in all parameters corresponding to the AI function, and the second parameter is a parameter corresponding to the AI function; the second parameter is used for determining the AI function, and the first parameter is used for determining an applicable scene of the AI function; and managing the AI function based on the first information. According to the method disclosed by the invention, the implementation performance and accuracy of the AI function can be ensured.

Description

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

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

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

[0003] Summary of the Invention

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

[0005] According to a first aspect of an embodiment of the present disclosure, a management method is provided, which is executed by a first network device and includes:

[0006] receiving first information, where the first information is used to indicate first parameters corresponding to at least one artificial intelligence (AI) function supported by the terminal, the first parameters being parameters of all parameters corresponding to the AI ​​function except a second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario of the AI ​​function;

[0007] Managing the AI ​​function based on the first information.

[0008] According to a second aspect of an embodiment of the present disclosure, a management method is proposed, which is executed by a terminal and includes:

[0009] Reporting first information, where the first information is used to indicate a first parameter corresponding to at least one AI function supported by the terminal, the first parameter being a parameter among all parameters corresponding to the AI ​​function except the second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine the applicable scenario of the AI ​​function.

[0010] According to a third aspect of an embodiment of the present disclosure, a management method is provided, which is executed by a second network device and includes:

[0011] Receive first information sent by a first network device; the first information is used to indicate first parameters corresponding to at least one artificial intelligence (AI) function supported by the terminal, the first parameter being a parameter of all parameters corresponding to the AI ​​function except the second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario of the AI ​​function.

[0012] According to a fourth aspect of an embodiment of the present disclosure, a management method is provided for a communication system, the communication system including a terminal, a first network device, and a second network device, the method including:

[0013] The terminal reports first information, where the first information is used to indicate first parameters corresponding to at least one AI function supported by the terminal, the first parameters being all parameters corresponding to the AI ​​function except a second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario of the AI ​​function;

[0014] The first network device receives the first information;

[0015] The first network device manages the AI ​​function based on the first information;

[0016] The first network device reports the first information to the second network device;

[0017] The second network device receives the first information.

[0018] According to a fifth aspect of an embodiment of the present disclosure, a first network device is provided, including:

[0019] a transceiver module, configured to receive first information, where the first information is used to indicate first parameters corresponding to at least one AI function supported by the terminal, the first parameters being all parameters corresponding to the AI ​​function except a second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario of the AI ​​function;

[0020] A processing module for managing the AI ​​function based on the first information

[0021] According to a sixth aspect of an embodiment of the present disclosure, a terminal is provided, including:

[0022] A transceiver module is configured to report first information, where the first information is used to indicate first parameters corresponding to at least one AI function supported by the terminal, the first parameters being all parameters corresponding to the AI ​​function except the second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario for the AI ​​function.

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

[0024] A transceiver module is configured to receive first information sent by a first network device; the first information is used to indicate first parameters corresponding to at least one artificial intelligence (AI) function supported by the terminal, the first parameter being a parameter of all parameters corresponding to the AI ​​function except a second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario of the AI ​​function.

[0025] According to an eighth aspect of an embodiment of the present disclosure, a communication device is provided, including:

[0026] one or more processors;

[0027] The processor is used to call instructions to enable the communication device to execute any one of the management methods described in the first to third aspects.

[0028] According to the ninth aspect of an embodiment of the present disclosure, a communication system is proposed, characterized in that it includes a terminal, a first network device, and a second network device, wherein the first network device is configured to implement the management method described in the first aspect, the terminal is configured to implement the management method described in the second aspect, and the second network device is configured to implement the management method described in the third aspect.

[0029] According to the ninth aspect of an embodiment of the present disclosure, a storage medium is proposed, which stores instructions, and is characterized in that when the instructions are executed on a communication device, the communication device executes the management method as described in any one of the first to third aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The above and / or additional aspects and advantages of the present disclosure will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0031] FIG1 is a schematic diagram of the architecture of some communication systems provided by embodiments of the present disclosure;

[0032] FIG2A is a flow chart of a management method provided in yet another embodiment of the present disclosure;

[0033] FIG2B is a flowchart of a management method provided in yet another embodiment of the present disclosure;

[0034] FIG2C is a flowchart of a management method provided in yet another embodiment of the present disclosure;

[0035] FIG3A is a flow chart of a management method provided in yet another embodiment of the present disclosure;

[0036] FIG3B is a flowchart of a management method provided in yet another embodiment of the present disclosure;

[0037] FIG3C is a flowchart of a management method provided in yet another embodiment of the present disclosure;

[0038] FIG3D is a flowchart of a management method provided in yet another embodiment of the present disclosure;

[0039] FIG4A is a flow chart of a management method provided in yet another embodiment of the present disclosure;

[0040] FIG4B is a flowchart of a management method provided in yet another embodiment of the present disclosure;

[0041] FIG4C is a flowchart of a management method provided in yet another embodiment of the present disclosure;

[0042] FIG4D is a flowchart of a management method provided in yet another embodiment of the present disclosure;

[0043] FIG5A is a flow chart of a management method provided in yet another embodiment of the present disclosure;

[0044] FIG5B is a flowchart of a management method provided in yet another embodiment of the present disclosure;

[0045] FIG6A is a schematic structural diagram of a first network device provided by an embodiment of the present disclosure;

[0046] FIG6B is a schematic structural diagram of a terminal provided by an embodiment of the present disclosure;

[0047] FIG6C is a schematic structural diagram of a second network device provided by an embodiment of the present disclosure;

[0048] FIG7A is a schematic structural diagram of a communication device provided by an embodiment of the present disclosure;

[0049] FIG7B is a schematic structural diagram of a chip provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0050] The embodiments of the present disclosure provide a management method and apparatus, a communication device, a communication system, and a storage medium.

[0051] In a first aspect, an embodiment of the present disclosure provides a management method, which is performed by a first network device. The method includes:

[0052] receiving first information, where the first information is used to indicate first parameters corresponding to at least one artificial intelligence (AI) function supported by the terminal, the first parameters being parameters of all parameters corresponding to the AI ​​function except a second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario of the AI ​​function;

[0053] Managing the AI ​​function based on the first information.

[0054] In the above embodiment, the network device receives the first information reported by the terminal and manages the AI ​​function based on the first information. The first information is used to indicate the first parameter corresponding to at least one AI function supported by the terminal, and the first parameter is used to determine the applicable scenario of the AI ​​function. The first parameter is actually a parameter of all parameters corresponding to the AI ​​function except the second parameter, and the second parameter is a parameter used to determine the AI ​​function. Therefore, it can be seen that in the above embodiment, the terminal reports the applicable scenario of at least one AI function supported by the terminal to the network device, and the network device can subsequently manage the AI ​​function of the terminal based on the applicable scenario of the AI ​​function reported by the terminal. For example, the network device can instruct the terminal to activate the AI ​​function whose applicable scenario is consistent with the applicable scenario supported by the terminal, and instruct the terminal to deactivate or turn off the AI ​​function whose applicable scenario is inconsistent with the applicable scenario supported by the terminal, thereby ensuring that the AI ​​function to be executed by the network device is: the AI ​​function whose applicable scenario is consistent with the applicable scenario supported by the terminal, thereby ensuring that the terminal can successfully and accurately implement the AI ​​function, and ensuring the implementation performance and accuracy of the AI ​​function.

[0055] In conjunction with some embodiments of the first aspect, in some embodiments, receiving the first information includes:

[0056] receiving the first information reported by the terminal simultaneously with reporting at least one AI function supported by the terminal.

[0057] In conjunction with some embodiments of the first aspect, in some embodiments, the receiving the first information reported by the terminal simultaneously when reporting at least one AI function supported by the terminal includes:

[0058] Receive the first information and at least one AI function supported by the terminal simultaneously reported by the terminal through the first signaling.

[0059] In combination with some embodiments of the first aspect, in some embodiments, the first signaling is used to indicate the terminal capability of the terminal.

[0060] In conjunction with some embodiments of the first aspect, in some embodiments, receiving the first information includes:

[0061] receiving the first information reported by the terminal after reporting at least one AI function supported by the terminal.

[0062] In conjunction with some embodiments of the first aspect, in some embodiments, receiving the first information includes:

[0063] Sending a first request to the terminal, where the first request is used to request the first information;

[0064] Receive the first information reported by the terminal.

[0065] In conjunction with some embodiments of the first aspect, in some embodiments, the first request is further used to request the terminal to report a first parameter corresponding to a first AI function, where the first AI function includes at least one AI function; and

[0066] The first information reported by the terminal is used to indicate first parameters corresponding to at least one AI function supported by the terminal in the first AI function.

[0067] In combination with some embodiments of the first aspect, in some embodiments, the first AI function is one or more AI functions supported by the first network device, or the first AI function is one or more AI functions of interest to the first network device.

[0068] In the above embodiment, a method is provided for how a network device specifically receives the first information, so that the network device can successfully receive the first information reported by the terminal. When the network device subsequently manages the AI ​​function of the terminal, the AI ​​function of the terminal can be managed in a targeted manner based on the applicable scenarios supported by the terminal indicated by the first information, so that the AI ​​function to be executed by the terminal configured by the network device is: an AI function whose applicable scenario is consistent with the applicable scenario supported by the terminal, thereby ensuring that the terminal can successfully and accurately implement the AI ​​function, thereby ensuring the implementation performance and accuracy of the AI ​​function.

[0069] In conjunction with some embodiments of the first aspect, in some embodiments, managing the AI ​​function based on the first information includes:

[0070] determining a first parameter corresponding to a second AI function, where the second AI function is an AI function currently running on the terminal, or the second AI function is an AI function to be run on the terminal, and the second AI function includes one or more AI functions;

[0071] First signaling and / or second signaling is sent based on the first information and a first parameter corresponding to the second AI function; the first signaling is used to activate the AI ​​function in which the first parameter is the same as the first parameter indicated by the first information; and the second signaling is used to deactivate or disable the AI ​​function in which the first parameter is different from the first parameter indicated by the first information.

[0072] In the above embodiment, a method is provided for how a network device specifically manages an AI function based on first information, so that the network device can perform targeted management of the AI ​​function of the terminal based on the applicable scenarios supported by the terminal indicated by the first information, so that the AI ​​function to be executed by the network device configured to the terminal is: an AI function whose applicable scenario is consistent with the applicable scenario supported by the terminal, thereby ensuring that the terminal can successfully and accurately implement the AI ​​function, and ensuring the implementation performance and accuracy of the AI ​​function.

[0073] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0074] Report the first information to the second network device.

[0075] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0076] The terminal undergoes cell switching, and the first network device is a source network device in the cell switching process, and sends the first information to the second network device and / or the target network device in the cell switching process.

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

[0078] The terminal undergoes a cell handover, and the first network device is a target network device in the cell handover process, and receives the first information from a second network device and / or a source network device in the cell handover process.

[0079] In the above embodiment, the first network device reports the first information to the second network device, so that the second network device can centrally store the first information of each terminal, so that other network devices (such as the target network device in the terminal cell switching process) can obtain the first information of the terminal from the second network device, and accurately manage the AI ​​function of the terminal based on the obtained first information. In addition, in the above embodiment, when the terminal undergoes cell switching, the source network device in the cell switching process sends the first information to the target network device, so that the target network device can obtain the first information in a timely manner, and manage the AI ​​function of the terminal in a timely and accurate manner based on the obtained first information, thereby ensuring the implementation performance and accuracy of the AI ​​function.

[0080] In combination with some embodiments of the first aspect, in some embodiments, the first parameter indicated by the first information is: the first parameter used by the terminal when training the AI ​​model of the AI ​​function, or the first parameter supported by the training scenario when the terminal trains the AI ​​model of the AI ​​function.

[0081] In the above embodiment, the first parameter indicated by the first information is defined as: the first parameter used when the terminal trains the AI ​​model of the AI ​​function, or the first parameter supported by the training scenario when the terminal trains the AI ​​model of the AI ​​function. Thus, when the network device manages the AI ​​function of the terminal based on the first information, the parameters used in the inference process of the AI ​​model (i.e., the process in which the trained AI model of the terminal implements the AI ​​function based on the configuration of the network device) can be made consistent with the parameters used in the AI ​​model training process, thereby greatly improving the accuracy of the AI ​​function implementation and ensuring the implementation performance of the AI ​​function.

[0082] In a second aspect, an embodiment of the present disclosure provides a management method, which is executed by a network device. The method includes:

[0083] Reporting first information, where the first information is used to indicate a first parameter corresponding to at least one AI function supported by the terminal, the first parameter being a parameter of all parameters corresponding to the AI ​​function except the second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine the applicable scenario of the AI ​​function.

[0084] In the above embodiment, the terminal will report first information to the network device, and the first information is used to indicate the first parameters corresponding to at least one AI function supported by the terminal, and the first parameters are used to determine the applicable scenario of the AI ​​function. The first parameters are actually all the parameters corresponding to the AI ​​function except the second parameter, and the second parameter is a parameter used to determine the AI ​​function. It can be seen that in the above embodiment, the terminal will report the applicable scenario of at least one AI function supported by the terminal to the network device, and the network device can subsequently manage the AI ​​function of the terminal based on the applicable scenario of the AI ​​function reported by the terminal. For example, the network device can instruct the terminal to activate the AI ​​function whose applicable scenario is consistent with the applicable scenario supported by the terminal, and instruct the terminal to deactivate or turn off the AI ​​function whose applicable scenario is inconsistent with the applicable scenario supported by the terminal, thereby ensuring that the AI ​​function to be executed by the network device is: the AI ​​function whose applicable scenario is consistent with the applicable scenario supported by the terminal, thereby ensuring that the terminal can successfully and accurately implement the AI ​​function, and ensuring the implementation performance and accuracy of the AI ​​function.

[0085] In conjunction with some embodiments of the second aspect, in some embodiments, reporting the first information includes:

[0086] When reporting at least one AI function supported by the terminal, the first information is reported at the same time.

[0087] In conjunction with some embodiments of the second aspect, in some embodiments, reporting the at least one AI function supported by the terminal while simultaneously reporting the first information includes:

[0088] The first information and at least one AI function supported by the terminal are reported simultaneously through the first signaling.

[0089] In combination with some embodiments of the second aspect, in some embodiments, the first signaling is used to indicate the terminal capability of the terminal.

[0090] In conjunction with some embodiments of the second aspect, in some embodiments, reporting the first information includes:

[0091] The first information is reported after reporting at least one AI function supported by the terminal.

[0092] In conjunction with some embodiments of the second aspect, in some embodiments, reporting the first information includes:

[0093] receiving a first request sent by a first network device, where the first request is used to request the first information;

[0094] Report the first information to the first network device.

[0095] In conjunction with some embodiments of the second aspect, in some embodiments, the first request is further used to request the terminal to report a first parameter corresponding to a first AI function, where the first AI function includes at least one AI function; and

[0096] The first information reported by the terminal is used to indicate first parameters corresponding to at least one AI function supported by the terminal in the first AI function.

[0097] In combination with some embodiments of the second aspect, in some embodiments, the first AI function is one or more AI functions supported by the first network device, or the first AI function is one or more AI functions of interest to the first network device.

[0098] In a third aspect, an embodiment of the present disclosure provides a management method, which is performed by a second network device. The method includes:

[0099] Receive first information sent by a first network device; the first information is used to indicate first parameters corresponding to at least one artificial intelligence (AI) function supported by the terminal, the first parameter being a parameter of all parameters corresponding to the AI ​​function except the second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario of the AI ​​function.

[0100] In the above embodiment, the first network device reports the first information to the second network device, so that the second network device can centrally store the first information of each terminal, so that other network devices (such as the target network device in the terminal cell switching process) can obtain the first information of the terminal from the second network device, and accurately manage the AI ​​function of the terminal based on the obtained first information, thereby ensuring the implementation performance and accuracy of the AI ​​function.

[0101] In a fourth aspect, an embodiment of the present disclosure provides a management method for a communication system, wherein the communication system includes a terminal, a first network device, and a second network device, and the method includes:

[0102] The terminal reports first information, where the first information is used to indicate first parameters corresponding to at least one AI function supported by the terminal, the first parameters being all parameters corresponding to the AI ​​function except a second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario of the AI ​​function;

[0103] The first network device receives the first information;

[0104] The first network device manages the AI ​​function based on the first information;

[0105] The first network device reports the first information to the second network device;

[0106] The second network device receives the first information.

[0107] In a fifth aspect, an embodiment of the present disclosure provides a first network device, including:

[0108] a transceiver module, configured to receive first information, where the first information is used to indicate first parameters corresponding to at least one AI function supported by the terminal, the first parameters being all parameters corresponding to the AI ​​function except a second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario of the AI ​​function;

[0109] A processing module is used to manage the AI ​​function based on the first information.

[0110] In conjunction with some embodiments of the fifth aspect, in some embodiments, the transceiver module is further configured to:

[0111] receiving the first information reported by the terminal simultaneously with reporting at least one AI function supported by the terminal.

[0112] In conjunction with some embodiments of the fifth aspect, in some embodiments, the transceiver module is further configured to:

[0113] Receive the first information and at least one AI function supported by the terminal simultaneously reported by the terminal through the first signaling.

[0114] In combination with some embodiments of the fifth aspect, in some embodiments, the first signaling is used to indicate the terminal capability of the terminal.

[0115] In conjunction with some embodiments of the fifth aspect, in some embodiments, the transceiver module is further configured to:

[0116] receiving the first information reported by the terminal after reporting at least one AI function supported by the terminal.

[0117] In conjunction with some embodiments of the fifth aspect, in some embodiments, the transceiver module is further configured to:

[0118] Sending a first request to the terminal, where the first request is used to request the first information;

[0119] Receive the first information reported by the terminal.

[0120] In conjunction with some embodiments of the fifth aspect, in some embodiments, the first request is further used to request the terminal to report a first parameter corresponding to a first AI function, where the first AI function includes at least one AI function; and

[0121] The first information reported by the terminal is used to indicate first parameters corresponding to at least one AI function supported by the terminal in the first AI function.

[0122] In combination with some embodiments of the fifth aspect, in some embodiments, the first AI function is one or more AI functions supported by the first network device, or the first AI function is one or more AI functions of interest to the first network device.

[0123] In conjunction with some embodiments of the fifth aspect, in some embodiments, the processing module is further configured to:

[0124] determining a first parameter corresponding to a second AI function, where the second AI function is an AI function currently running on the terminal, or the second AI function is an AI function to be run on the terminal, and the second AI function includes one or more AI functions;

[0125] First signaling and / or second signaling is sent based on the first information and a first parameter corresponding to the second AI function; the first signaling is used to activate the AI ​​function in which the first parameter is the same as the first parameter indicated by the first information; and the second signaling is used to deactivate or disable the AI ​​function in which the first parameter is different from the first parameter indicated by the first information.

[0126] In conjunction with some embodiments of the fifth aspect, in some embodiments, the first network device is further configured to:

[0127] Report the first information to the second network device.

[0128] In conjunction with some embodiments of the fifth aspect, in some embodiments, the first network device is further configured to:

[0129] The terminal undergoes cell switching, and the first network device is a source network device in the cell switching process, and sends the first information to the second network device and / or the target network device in the cell switching process.

[0130] In conjunction with some embodiments of the fifth aspect, in some embodiments, the transceiver module is further configured to:

[0131] The terminal undergoes a cell handover, and the first network device is a target network device in the cell handover process, and receives the first information from a second network device and / or a source network device in the cell handover process.

[0132] In combination with some embodiments of the fifth aspect, in some embodiments, the first parameter indicated by the first information is: the first parameter used by the terminal when training the AI ​​model of the AI ​​function, or the first parameter supported by the training scenario when the terminal trains the AI ​​model of the AI ​​function.

[0133] In a sixth aspect, an embodiment of the present disclosure provides a terminal, including:

[0134] A transceiver module is configured to report first information, where the first information is used to indicate first parameters corresponding to at least one AI function supported by the terminal, the first parameters being all parameters corresponding to the AI ​​function except the second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario for the AI ​​function.

[0135] With reference to some embodiments of the sixth aspect, in some embodiments, the sending and receiving is further used for:

[0136] When reporting at least one AI function supported by the terminal, the first information is reported at the same time.

[0137] With reference to some embodiments of the sixth aspect, in some embodiments, the sending and receiving is further used for:

[0138] The first information and at least one AI function supported by the terminal are reported simultaneously through the first signaling.

[0139] In combination with some embodiments of the sixth aspect, in some embodiments, the first signaling is used to indicate the terminal capability of the terminal.

[0140] With reference to some embodiments of the sixth aspect, in some embodiments, the sending and receiving is further used for:

[0141] The first information is reported after reporting at least one AI function supported by the terminal.

[0142] With reference to some embodiments of the sixth aspect, in some embodiments, the sending and receiving is further used for:

[0143] receiving a first request sent by a first network device, where the first request is used to request the first information;

[0144] Report the first information to the first network device.

[0145] In conjunction with some embodiments of the sixth aspect, in some embodiments, the first request is further used to request the terminal to report a first parameter corresponding to a first AI function, where the first AI function includes at least one AI function; and

[0146] The first information reported by the terminal is used to indicate first parameters corresponding to at least one AI function supported by the terminal in the first AI function.

[0147] In combination with some embodiments of the sixth aspect, in some embodiments, the first AI function is one or more AI functions supported by the first network device, or the first AI function is one or more AI functions of interest to the first network device.

[0148] In a seventh aspect, an embodiment of the present disclosure provides a second network device, including:

[0149] A transceiver module is configured to receive first information sent by a first network device; the first information is used to indicate first parameters corresponding to at least one artificial intelligence (AI) function supported by the terminal, the first parameter being a parameter of all parameters corresponding to the AI ​​function except a second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario of the AI ​​function.

[0150] In the eighth aspect, an embodiment of the present disclosure proposes a communication device, which includes: one or more processors; one or more memories for storing instructions; wherein the processor is used to call the instructions so that the communication device executes the management method described in the first aspect, the optional implementation of the first aspect, the second aspect, the optional implementation of the second aspect, the third aspect, and the optional implementation of the third aspect.

[0151] In the ninth aspect, an embodiment of the present disclosure proposes a communication system, which includes: a terminal and a network device; wherein the terminal is configured to execute the method described in the first aspect and the optional implementation of the first aspect, and the network device is configured to execute the method described in the second aspect and the optional implementation of the second aspect, the third aspect, and the optional implementation of the third aspect.

[0152] In the tenth aspect, an embodiment of the present disclosure proposes a storage medium, which stores instructions. When the instructions are executed on a communication device, the communication device executes the management method described in the first aspect, the optional implementation of the first aspect, the second aspect, the optional implementation of the second aspect, the third aspect, and the optional implementation of the third aspect.

[0153] In the eleventh aspect, an embodiment of the present disclosure proposes a program product. When the program product is executed by a communication device, the communication device executes the management method described in the first aspect, the optional implementation of the first aspect, the second aspect, the optional implementation of the second aspect, the third aspect, and the optional implementation of the third aspect.

[0154] In the twelfth aspect, an embodiment of the present disclosure proposes a computer program, which, when running on a computer, enables the computer to execute the management method described in the first aspect, the optional implementation of the first aspect, the second aspect, the optional implementation of the second aspect, the third aspect, and the optional implementation of the third aspect.

[0155] It is understandable that the above-mentioned terminals, network devices, communication devices, communication systems, storage media, program products, and computer programs are all used to execute the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding methods and will not be repeated here.

[0156] The present disclosure provides invention titles. In some embodiments, the terms "management method" and "information processing method," "information sending method," and "information receiving method" are interchangeable; the terms "communication device" and "information processing device," "information sending device," and "information receiving device" are interchangeable; and the terms "information processing system," "communication system," "information sending system," and "information receiving system" are interchangeable.

[0157] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0158] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

[0159] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0160] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "the", "the", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun following the article may be understood as a singular expression or a plural expression.

[0161] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0162] In some embodiments, the terms "at least one of", "at least one of", "at least one of", "one or more", "a plurality of", "multiple", etc. can be used interchangeably.

[0163] In the embodiments of the present disclosure, descriptions such as “at least one of A, B, C…”, “A and / or B and / or C…”, etc. include the situation where any one of A, B, C… exists alone, and also include any combination of any multiple of A, B, C…, and each situation can exist alone; for example, “at least one of A, B, C” includes the situation where A exists alone, B exists alone, C exists alone, the combination of A and B, the combination of A and C, the combination of B and C, and the combination of A, B, and C; for example, A and / or B includes the situation where A exists alone, B exists alone, and the combination of A and B.

[0164] In some embodiments, descriptions such as "in one case A, in another case B," or "in response to one case A, in response to another case B," may include the following technical solutions depending on the situation: executing A independently of B (in some embodiments, A); executing B independently of A (in some embodiments, B); selectively executing A and B (in some embodiments, selecting between A and B); and executing both A and B (in some embodiments, A and B). The same applies when there are more branches, such as A, B, and C.

[0165] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for another example, if the description object is "information", then the "first information" and the "second information" can be the same information or different information, and their contents can be the same or different.

[0166] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0167] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0168] In some embodiments, terms such as "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not less than", and "above" can be replaced with each other, and terms such as "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

[0169] In some embodiments, devices, etc. can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. Terms such as "device", "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", and "subject" can be used interchangeably.

[0170] In some embodiments, "network" can be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

[0171] In some embodiments, the terms "access network device (AN device)", "radio access network device (RAN device)", "base station (BS)", "radio base station" "fixed station", "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission / reception point (TRP)", "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "carrier", "component carrier", "bandwidth part (BWP)" and the like may be used interchangeably.

[0172] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal", "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, etc. can be used interchangeably.

[0173] In some embodiments, the access network device, the core network device, or the network device can be replaced by a terminal. For example, the various embodiments of the present disclosure can also be applied to a structure in which the communication between the access network device, the core network device, or the network device and the terminal is replaced by communication between multiple terminals (for example, it can also be called device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, it can also be set as a structure in which the terminal has all or part of the functions of the access network device. In addition, language such as "uplink" and "downlink" can also be replaced by language corresponding to communication between terminals (for example, "side"). For example, uplink channels, downlink channels, etc. can be replaced by side channels, and uplinks, downlinks, etc. can be replaced by side links.

[0174] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, the core network device, or the network device may have a structure that has all or part of the functions of the terminal.

[0175] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0176] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0177] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0178] The correspondences shown in the tables of the present disclosure can be configured or predefined. The values ​​of the information in each table are merely examples and can be configured to other values, which are not limited by the present disclosure. When configuring the correspondences between information and parameters, it is not necessarily required to configure all the correspondences shown in each table. For example, in the tables of the present disclosure, the correspondences shown in certain rows may not be configured. For another example, appropriate deformation adjustments can be made based on the above tables, such as splitting, merging, etc. The names of the parameters shown in the titles of the above tables may also adopt other names that can be understood by the communication device, and the values ​​or representations of the parameters may also adopt other values ​​or representations that can be understood by the communication device. When implementing the above tables, other data structures may also be used, such as arrays, queues, containers, stacks, linear lists, pointers, linked lists, trees, graphs, structures, classes, heaps, hash tables or hash tables, etc.

[0179] The predefined in the present disclosure may be understood as defined, predefined, stored, pre-stored, pre-negotiated, pre-configured, solidified, or pre-burned.

[0180] Figure 1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure. As shown in Figure 1, the communication system 100 may include a terminal, a first network device, and a second network device. Optionally, the network device may include at least one of an access network device and a core network device.

[0181] In some embodiments, the terminal includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.

[0182] In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a wireless fidelity (WiFi) system, but is not limited thereto.

[0183] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0184] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0185] In some embodiments, the core network device may be a device including one or more network elements, or may be multiple devices or a group of devices, each including all or part of one or more network elements. The network element may be virtual or physical. The core network, for example, includes at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC). Alternatively, the core network device may also be a location management function network element. Exemplarily, the location management function network element includes a location server (location server), which may be implemented as any one of the following: Location Management Function (LMF), Enhanced Serving Mobile Location Centre (E-SMLC), Secure User Plane Location (SUPL), and Secure User Plane Location Platform (SUPLLP).

[0186] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

[0187] The following embodiments of the present disclosure may be applied to the communication system 100 shown in Figure 1, or a portion thereof, but are not limited thereto. The entities shown in Figure 1 are illustrative only. The communication system may include all or part of the entities shown in Figure 1, or may include other entities outside of Figure 1. The number and form of the entities may be arbitrary. The connection relationship between the entities is illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0188] The embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), future radio access (FRA), new radio access technology (RAT), new radio (NR), new radio access (NX), future generation radio access (FX), Global System for Mobile Communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X) systems, systems utilizing other management methods, and next-generation systems based on and extending these systems. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0189] Optionally, there are multiple AI use cases (features) in the AI ​​technology mentioned in the above background technology. The AI ​​use case can be understood as a specific application case when AI is used. The AI ​​use case can include at least one of the following: AI-based channel state information (CSI) enhancement, AI-based beam management, and AI-based positioning. Among them, one or more AI functions (functionality) may correspond to one AI use case. The AI ​​function may be, for example, an AI function to be implemented when executing the corresponding AI use case. Optionally, the AI ​​function may correspond to a parameter set, and the parameter set may include specific parameters. The specific parameters are used to define the AI ​​function. For example, the specific parameters can be used to indicate what the specific function of the AI ​​function is. The specific parameters can be called, for example, a condition. In addition, the parameters in the parameter set of the AI ​​function other than the specific parameters can be used to indicate the applicable scenario of the AI ​​function. Optionally, the applicable scenario can be understood as, for example, the parameters actually used when implementing the AI ​​function. The parameters in the parameter set of the AI ​​function other than the specific parameters can be called, for example, an additional condition. The following examples introduce the condition and additional condition in the parameter set of the above-mentioned AI function.

[0190] For example, assume that the parameter set of an AI function for the AI ​​use case of "AI-based beam management" is: the number of model input measurement subsets is "a" and the number of model output beam sets is "b"; among them, the "number of model input measurement subsets" and "number of model output beam sets" can define a specific AI function. At this time, the "number of model input measurement subsets" and "number of model output beam sets" are the conditions corresponding to the AI ​​function, and "a" and "b" are the additional conditions corresponding to the AI ​​function.

[0191] Optionally, in a communication system, the AI ​​function may be implemented by an AI model. Optionally, the terminal may train an AI model and deploy the trained AI model on the terminal, and the network device may configure one or more AI functions to the terminal, and the terminal may select at least one AI function supported by the terminal from the AI ​​functions configured by the network device and report it to the network device. Among them, the AI ​​functions supported by the terminal can be understood as: AI functions that can be implemented by the AI ​​model deployed on the terminal. And, after the network device receives the AI ​​functions supported by the terminal reported by the terminal, it can select the target AI function that needs to be executed by the terminal from at least one AI function supported by the terminal based on the current operating environment, and determine the parameter set corresponding to the target AI function based on the current operating environment, and then configure the target AI function and its corresponding parameter set to the terminal, so that the terminal can use the trained AI model and based on the parameter set corresponding to the target AI function configured by the network device to implement the target AI function. Among them, the process in which the terminal uses the trained AI model to implement the AI ​​function can be called the "inference process of the AI ​​model".

[0192] However, under normal circumstances, since an AI model can only be used in a limited environment or configuration, it is difficult for an AI model to adapt to all environments and configurations. Among them, the applicable scenario of an AI model (that is, the environment or configuration to which the AI ​​model is adapted) is closely related to the parameter set of the AI ​​function used in the training process of the AI ​​model. Therefore, in order to ensure the accuracy and performance of the AI ​​function, it is usually necessary to make the additional condition used in the inference process of the AI ​​model consistent with the additional condition used in the training process of the AI ​​model. Therefore, the terminal usually needs to report the additional condition used by the terminal when training the AI ​​model (or the additional condition supported by the terminal) to the network device, so that the additional condition in the parameter set of the AI ​​function subsequently configured to the terminal by the network device is consistent with the additional condition used in the AI ​​model training process, ensuring the accuracy and performance of the AI ​​function when using the AI ​​model. However, the current communication system only includes a method for the terminal to implicitly report the condition by reporting the AI ​​function it supports, and there is no method for the terminal to report the additional condition used in the AI ​​model training process.

[0193] FIG2A is an interactive diagram of a management method according to an embodiment of the present disclosure. As shown in FIG2A , the present disclosure embodiment relates to a management method for a communication system 100, the method comprising:

[0194] Step 2101: The terminal reports first information and / or at least one AI function supported by the terminal to the first network device at the same time.

[0195] Optionally, the first network device may be, for example, an access network device (such as a base station) and / or a location management function (LMF).

[0196] Optionally, in some embodiments, the aforementioned "at least one AI function supported by the terminal" may be an AI function that can be implemented by an AI model deployed on the terminal. Optionally, the AI ​​model may be trained by the terminal. Optionally, the terminal may report the at least one AI function supported by the terminal by reporting the function identifier corresponding to the at least one AI function supported by the terminal. For a detailed description of AI functions and AI models, please refer to the description of the embodiment in FIG. 2A .

[0197] Optionally, the first information may be used to indicate first parameters corresponding to at least one AI function supported by the terminal. Optionally, the first parameter may be a parameter other than a second parameter among all parameters corresponding to the AI ​​function. The second parameter may be used to determine the AI ​​function, that is, the second parameter may be used to define the specific function of the AI ​​function. The first parameter may be used to determine an applicable scenario for the AI ​​function. Optionally, the applicable scenario may be understood as, for example, a parameter actually used to implement the AI ​​function. The "all parameters corresponding to the AI ​​function" may be, for example, the "AI function parameter set" in the description before the embodiment of FIG. 2A , the "first parameter" may be, for example, the "additional condition in the AI ​​function parameter set" in the description before the embodiment of FIG. 2A , and the "second parameter" may be, for example, the "condition in the AI ​​function parameter set" in the description before the embodiment of FIG. For detailed descriptions of the first and second parameters, please refer to the description before the embodiment of FIG. 2A .

[0198] Optionally, in some embodiments, the first parameters corresponding to at least one AI function supported by the terminal indicated by the first information may be, for example, first parameters used by the terminal when training an AI model of the AI ​​function.

[0199] Optionally, in other embodiments, the first parameter corresponding to the at least one AI function supported by the terminal indicated by the first information may be, for example, a first parameter supported by the training environment when the terminal trains the AI ​​model of the AI ​​function. Specifically, for the AI ​​model, it may not support the use of only one parameter, but may support the use of a range of parameters. For example, assuming that the first parameter used when training the AI ​​model is b, the AI ​​model may not only support the use of the first parameter b. When the first parameter used by the AI ​​model is between [bs, b+s], the accuracy of the AI ​​model can also be ensured. s can be understood as the allowable error range of the AI ​​model. In this case, the first parameter between [bs, b+s] can be the above-mentioned "first parameter supported by the training environment when training the AI ​​model of the AI ​​function."

[0200] Optionally, in some embodiments, the terminal may simultaneously report the first information and at least one AI function supported by the terminal to the first network device through a first signaling. The first signaling may be used to indicate the terminal capability of the terminal. For example, the first signaling may be a user equipment capability (UE capability) signaling. Alternatively, in some embodiments, when the first network device is an access network device, the terminal may report the first information to the first network device through Radio Resource Control (RRC) signaling; when the first network device is an LMF, the terminal may report the first information to the first network device through Long Term Evolution Positioning Protocol (LPP) signaling.

[0201] Step 2102: The first network device determines a first parameter corresponding to the second AI function.

[0202] Optionally, the second AI function may be determined by the first network device based on at least one AI function supported by the terminal. Optionally, the second AI function may be one or more AI functions selected by the first network device from the at least one AI function supported by the terminal and required to be implemented by the terminal. After determining the second AI function, the first network device may also determine a first parameter corresponding to the second AI function based on the current operating environment. The first network device may configure the determined second AI function and the first parameter corresponding to the second AI function to the terminal, so that the terminal implements the second AI function.

[0203] Optionally, the second AI function mentioned in this step 2102 may be an AI function that has been configured to the terminal by the first network device and is currently running on the terminal, or the second AI function may be an AI function to be run on the terminal determined by the first network device.

[0204] Step 2103: The first network device sends a first signaling and / or a second signaling based on the first information and a first parameter corresponding to the second AI function.

[0205] Optionally, the first network device may send a first signaling and / or a second signaling to the terminal, and the terminal may receive the first signaling and / or the second signaling. The first signaling and the second signaling may be used to manage the AI ​​function of the terminal.

[0206] Optionally, in some embodiments, the first signaling may be used to activate an AI function in which the first parameter of the second AI function is the same as the first parameter indicated by the first information, and the second signaling may be used to deactivate or disable an AI function in which the first parameter of the second AI function is different from the first parameter indicated by the first information.

[0207] Alternatively, in some further embodiments, the first signaling may be used to activate an AI function in which the error between the first parameter in the second AI function and the first parameter indicated by the first information is less than or equal to a first threshold, and the second signaling may be used to deactivate or turn off an AI function in which the error between the first parameter in the second AI function and the first parameter indicated by the first information is greater than the first threshold.

[0208] Optionally, the above-mentioned first signaling may be to configure the terminal to activate the corresponding AI function by indicating the function identifier of the second AI function to be activated, and the above-mentioned second signaling may be to configure the terminal to deactivate or turn off the corresponding AI function by indicating the function identifier of the second AI function to be deactivated or turned off.

[0209] Step 2104: The terminal manages the AI ​​function based on the first signaling and / or the second signaling.

[0210] Optionally, the terminal may activate, based on the first signaling, an AI function in which the first parameter in the second AI function is the same as the first parameter indicated by the first information, or, based on the first signaling, activate an AI function in which the error between the first parameter in the second AI function and the first parameter indicated by the first information is less than or equal to a first threshold;

[0211] Furthermore, the terminal may deactivate or disable an AI function in which the first parameter in the second AI function is different from the first parameter indicated by the first information based on the second signaling, or deactivate or disable an AI function in which the error between the first parameter in the second AI function and the first parameter indicated by the first information is greater than the first threshold based on the second signaling.

[0212] Optionally, in some embodiments, the terminal may specifically activate the AI ​​function corresponding to the function identifier indicated by the first signaling, and deactivate or disable the AI ​​function corresponding to the function identifier indicated by the second signaling.

[0213] Step 2105: The first network device sends the first information and / or at least one AI function supported by the terminal to the second network device.

[0214] Optionally, the first network device may send the first information and / or at least one AI function supported by the terminal to the second network device through an interface between the first network device and the second network device.

[0215] Optionally, the second network device may be used to store the first information of different terminals and at least one AI function supported by the terminal. For example, the second network device may be used to centrally store the first information of terminals in multiple areas and at least one AI function supported by the terminal. Optionally, the second network device may be, for example, an Access and Mobility Management Function (AMF).

[0216] Optionally, in some embodiments, when the terminal undergoes a cell handover and the first network device is the source network device in the cell handover process, the first network device may send the first information to the target network device in the cell handover process in addition to sending the first information to the second network device, so that the target network device can subsequently manage the AI ​​function of the terminal in a timely manner based on the first information.

[0217] Optionally, in other embodiments, when a cell switch occurs in the terminal and the first network device is the target network device in the cell switching process, the first network device may also receive the first information from the second network device and / or the source network device in the cell switching process, so that the first network device can subsequently manage the AI ​​function of the terminal in a timely manner based on the first information.

[0218] Optionally, the above step 2105 may be located before or after any step from step 2102 to step 2104 .

[0219] In the above embodiment, the network device receives the first information reported by the terminal and manages the AI ​​function based on the first information. The first information is used to indicate the first parameter corresponding to at least one AI function supported by the terminal, and the first parameter is used to determine the applicable scenario of the AI ​​function. The first parameter is actually a parameter of all parameters corresponding to the AI ​​function except the second parameter, and the second parameter is a parameter used to determine the AI ​​function. Therefore, it can be seen that in the above embodiment, the terminal reports the applicable scenario of at least one AI function supported by the terminal to the network device, and the network device can subsequently manage the AI ​​function of the terminal based on the applicable scenario of the AI ​​function reported by the terminal. For example, the network device can instruct the terminal to activate the AI ​​function whose applicable scenario is consistent with the applicable scenario supported by the terminal, and instruct the terminal to deactivate or turn off the AI ​​function whose applicable scenario is inconsistent with the applicable scenario supported by the terminal, thereby ensuring that the AI ​​function to be executed by the network device is: the AI ​​function whose applicable scenario is consistent with the applicable scenario supported by the terminal, thereby ensuring that the terminal can successfully and accurately implement the AI ​​function, and ensuring the implementation performance and accuracy of the AI ​​function.

[0220] The management method according to the embodiments of the present disclosure may include at least one of steps 2101 to 2105. For example, step 2101 may be implemented as an independent embodiment, step 2102 may be implemented as an independent embodiment, step 2103 may be implemented as an independent embodiment, and step 2101 + step 2102 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0221] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0222] FIG2B is an interactive diagram of a management method according to an embodiment of the present disclosure. As shown in FIG2B , the present disclosure embodiment relates to a management method for a communication system 100, the method comprising:

[0223] Step 2201: The terminal reports at least one AI function supported by the terminal to the first network device.

[0224] Step 2202: After reporting at least one AI function supported by the terminal, the terminal reports the first information.

[0225] Optionally, in some embodiments, after the terminal reports at least one AI function supported by the terminal to the first network device, the terminal may directly report the above-mentioned first information to the first network device.

[0226] Step 2203: The first network device determines a first parameter corresponding to the second AI function.

[0227] Step 2204: The first network device sends a first signaling and / or a second signaling based on the first information and a first parameter corresponding to the second AI function.

[0228] Step 2205: The terminal manages the AI ​​function based on the first signaling and / or the second signaling.

[0229] Step 2206: The first network device sends the first information and / or at least one AI function supported by the terminal to the second network device.

[0230] For a detailed description of steps 2201-2206, please refer to the above embodiment description.

[0231] The management method according to the embodiments of the present disclosure may include at least one of steps 2201 to 2206. For example, step 2201 may be implemented as an independent embodiment, step 2202 may be implemented as an independent embodiment, step 2203 may be implemented as an independent embodiment, and step 2201 + step 2202 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0232] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0233] FIG2C is an interactive diagram of a management method according to an embodiment of the present disclosure. As shown in FIG2C , the present disclosure embodiment relates to a management method for a communication system 100, the method comprising:

[0234] Step 2301: A first network device sends a first request to a terminal.

[0235] Optionally, the first request may be used to request first information. Specifically, the first request may be used to request the terminal to report a first parameter corresponding to a first AI function, where the first AI function may include at least one AI function. Optionally, the first AI function may be one or more AI functions supported by the first network device, or the first AI function may be one or more AI functions of interest to the first network device.

[0236] Step 2302: The terminal reports first information to the first network device.

[0237] Optionally, the first information may be used to indicate first parameters corresponding to at least one AI function supported by the terminal. Optionally, in some embodiments, when the first request is used to request the terminal to report first parameters corresponding to the first AI function, the first information may indicate first parameters corresponding to at least one AI function supported by the terminal in the first AI function.

[0238] For further detailed description of the first information, please refer to the above embodiment description.

[0239] Step 2303: The first network device determines a first parameter corresponding to the second AI function.

[0240] Step 2304: The first network device sends a first signaling and / or a second signaling based on the first information and a first parameter corresponding to the second AI function.

[0241] Step 2305: The terminal manages the AI ​​function based on the first signaling and / or the second signaling.

[0242] Step 2306: The first network device sends the first information and / or at least one AI function supported by the terminal to the second network device.

[0243] For a detailed description of steps 2301-2306, please refer to the above embodiment description.

[0244] The management method according to the embodiments of the present disclosure may include at least one of steps 2301 to 2306. For example, step 2301 may be implemented as an independent embodiment, step 2302 may be implemented as an independent embodiment, step 2303 may be implemented as an independent embodiment, and step 2301 + step 2302 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0245] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0246] FIG3A is an interactive diagram of a management method according to an embodiment of the present disclosure. As shown in FIG3A , the embodiment of the present disclosure relates to a management method for a first network device, the method comprising:

[0247] Step 3101: Receive first information reported by the terminal simultaneously with reporting at least one AI function supported by the terminal.

[0248] Step 3102: Determine a first parameter corresponding to the second AI function.

[0249] Step 3103: Send the first signaling and / or the second signaling.

[0250] Step 3104: Report the first information and / or at least one AI function supported by the terminal to the second network device.

[0251] For a detailed description of steps 3101-3104, please refer to the above embodiment description.

[0252] The management method involved in the embodiment of the present disclosure may include at least one of steps 3101 to 3104. For example, step 3101 may be implemented as an independent embodiment, step 3102 may be implemented as an independent embodiment, and step 3101+S3102 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0253] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0254] FIG3B is an interactive diagram of a management method according to an embodiment of the present disclosure. As shown in FIG3B , the embodiment of the present disclosure relates to a management method for a first network device, the method comprising:

[0255] Step 3201: Receive at least one AI function supported by the terminal reported by the terminal.

[0256] Step 3202: Receive first information reported by the terminal after reporting at least one AI function supported by the terminal.

[0257] Step 3203: Determine a first parameter corresponding to the second AI function.

[0258] Step 3204: Send the first signaling and / or the second signaling.

[0259] Step 3205: Report the first information and / or at least one AI function supported by the terminal to the second network device.

[0260] For a detailed description of steps 3201-3205, please refer to the above embodiment description.

[0261] The management method involved in the embodiment of the present disclosure may include at least one of steps 3201 to 3205. For example, step 3201 may be implemented as an independent embodiment, step 3202 may be implemented as an independent embodiment, and step 3201+S3202 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0262] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0263] FIG3C is an interactive diagram of a management method according to an embodiment of the present disclosure. As shown in FIG3C , the embodiment of the present disclosure relates to a management method for a first network device, the method comprising:

[0264] Step 3301: Send a first request to the terminal.

[0265] Step 3302: Receive the first information reported by the terminal.

[0266] Step 3303: Determine a first parameter corresponding to the second AI function.

[0267] Step 3304: Send the first signaling and / or the second signaling.

[0268] Step 3305: Report the first information and / or at least one AI function supported by the terminal to the second network device.

[0269] For a detailed description of steps 3301-3305, please refer to the above embodiment description.

[0270] The management method involved in the embodiment of the present disclosure may include at least one of steps 3301 to 3305. For example, step 3301 may be implemented as an independent embodiment, step 3302 may be implemented as an independent embodiment, and step 3301+S3302 may be implemented as an independent embodiment, but the present invention is not limited thereto.

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

[0272] FIG3D is an interactive diagram of a management method according to an embodiment of the present disclosure. As shown in FIG3D , the embodiment of the present disclosure relates to a management method for a first network device, the method comprising:

[0273] Step 3401: Receive first information.

[0274] Step 3402: Manage AI functions based on the first information.

[0275] Optionally, the first information is used to indicate first parameters corresponding to at least one artificial intelligence (AI) function supported by the terminal, the first parameters being parameters of all parameters corresponding to the AI ​​function except a second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario of the AI ​​function;

[0276] Optionally, the receiving the first information includes:

[0277] receiving the first information reported by the terminal simultaneously with reporting at least one AI function supported by the terminal.

[0278] Optionally, the receiving the first information reported by the terminal simultaneously when reporting at least one AI function supported by the terminal includes:

[0279] Receive the first information and at least one AI function supported by the terminal simultaneously reported by the terminal through the first signaling.

[0280] Optionally, the first signaling is used to indicate terminal capabilities of the terminal.

[0281] Optionally, the receiving the first information includes:

[0282] receiving the first information reported by the terminal after reporting at least one AI function supported by the terminal.

[0283] Optionally, the receiving the first information includes:

[0284] Sending a first request to the terminal, where the first request is used to request the first information;

[0285] Receive the first information reported by the terminal.

[0286] Optionally, the first request is further used to request the terminal to report a first parameter corresponding to a first AI function, where the first AI function includes at least one AI function; and

[0287] The first information reported by the terminal is used to indicate first parameters corresponding to at least one AI function supported by the terminal in the first AI function.

[0288] Optionally, the first AI function is one or more AI functions supported by the first network device, or the first AI function is one or more AI functions in which the first network device is interested.

[0289] Optionally, managing the AI ​​function based on the first information includes:

[0290] determining a first parameter corresponding to a second AI function, where the second AI function is an AI function currently running on the terminal, or the second AI function is an AI function to be run on the terminal, and the second AI function includes one or more AI functions;

[0291] First signaling and / or second signaling is sent based on the first information and a first parameter corresponding to the second AI function; the first signaling is used to activate the AI ​​function in which the first parameter is the same as the first parameter indicated by the first information; and the second signaling is used to deactivate or disable the AI ​​function in which the first parameter is different from the first parameter indicated by the first information.

[0292] Optionally, the method further includes:

[0293] Report the first information to the second network device.

[0294] Optionally, the method further includes:

[0295] The terminal undergoes cell switching, and the first network device is a source network device in the cell switching process, and sends the first information to the second network device and / or the target network device in the cell switching process.

[0296] Optionally, the receiving the first information includes:

[0297] The terminal undergoes a cell handover, and the first network device is a target network device in the cell handover process, and receives the first information from a second network device and / or a source network device in the cell handover process.

[0298] Optionally, the first parameter indicated by the first information is: the first parameter used by the terminal when training the AI ​​model of the AI ​​function, or the first parameter supported by the training scenario when the terminal trains the AI ​​model of the AI ​​function.

[0299] For a detailed description of steps 3401-3402, please refer to the above embodiment description.

[0300] The management method involved in the embodiment of the present disclosure may include at least one of steps 3401 to 3405. For example, step 3401 may be implemented as an independent embodiment, step 3402 may be implemented as an independent embodiment, and step 3401+S3402 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0301] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0302] FIG4A is an interactive diagram of a management method according to an embodiment of the present disclosure. As shown in FIG4A , the present disclosure embodiment relates to a management method for a terminal, the method comprising:

[0303] Step 4101: When reporting at least one AI function supported by the terminal to the first network device, first information is also reported at the same time.

[0304] Step 4102: Receive the first signaling and / or the second signaling sent by the first network device.

[0305] Step 4103: Manage the AI ​​function based on the first signaling and / or the second signaling.

[0306] For a detailed description of steps 4101-4103, please refer to the above embodiment.

[0307] The management method involved in the embodiment of the present disclosure may include at least one of steps 4101 to 4103. For example, step 4101 may be implemented as an independent embodiment, and step 4102 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0308] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0309] FIG4B is an interactive diagram of a management method according to an embodiment of the present disclosure. As shown in FIG4B , the present disclosure embodiment relates to a management method for a terminal, the method comprising:

[0310] Step 4201: Report at least one AI function supported by the terminal to the first network device.

[0311] Step 4202: After reporting at least one AI function supported by the terminal, report the first information.

[0312] Step 4203: Receive the first signaling and / or the second signaling sent by the first network device.

[0313] Step 4204: Manage the AI ​​function based on the first signaling and / or the second signaling.

[0314] For a detailed description of steps 4201-4204, please refer to the above embodiment.

[0315] The management method involved in the embodiment of the present disclosure may include at least one of steps 4201 to 4204. For example, step 4201 may be implemented as an independent embodiment, and step 4202 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0316] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0317] FIG4C is an interactive diagram of a management method according to an embodiment of the present disclosure. As shown in FIG4C , the present disclosure embodiment relates to a management method for a terminal, the method comprising:

[0318] Step 4301: Receive a first request sent by a first network device.

[0319] Step 4302: Report first information to the first network device.

[0320] Step 4303: Receive the first signaling and / or the second signaling sent by the first network device.

[0321] Step 4304: Manage the AI ​​function based on the first signaling and / or the second signaling.

[0322] For a detailed description of steps 4301 - 4304 , please refer to the above embodiment.

[0323] The management method involved in the embodiment of the present disclosure may include at least one of steps 4301 to 4304. For example, step 4301 may be implemented as an independent embodiment, and step 4302 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0324] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0325] FIG4D is an interactive diagram of a management method according to an embodiment of the present disclosure. As shown in FIG4D , the present disclosure embodiment relates to a management method for a terminal, the method comprising:

[0326] Step 4401: Report the first information.

[0327] Optionally, the first information is used to indicate the first parameters corresponding to at least one AI function supported by the terminal, the first parameter is a parameter among all parameters corresponding to the AI ​​function except the second parameter, the second parameter is used to determine the AI ​​function, and the first parameter is used to determine the applicable scenario of the AI ​​function.

[0328] The reporting of the first information includes:

[0329] When reporting at least one AI function supported by the terminal, the first information is reported at the same time.

[0330] Optionally, the reporting of the at least one AI function supported by the terminal and simultaneously reporting the first information includes:

[0331] The first information and at least one AI function supported by the terminal are reported simultaneously through the first signaling.

[0332] Optionally, the first signaling is used to indicate terminal capabilities of the terminal.

[0333] Optionally, reporting the first information includes:

[0334] The first information is reported after reporting at least one AI function supported by the terminal.

[0335] Optionally, reporting the first information includes:

[0336] receiving a first request sent by a first network device, where the first request is used to request the first information;

[0337] Report the first information to the first network device.

[0338] Optionally, the first request is further used to request the terminal to report a first parameter corresponding to a first AI function, where the first AI function includes at least one AI function; and

[0339] The first information reported by the terminal is used to indicate first parameters corresponding to at least one AI function supported by the terminal in the first AI function.

[0340] Optionally, the first AI function is one or more AI functions supported by the first network device, or the first AI function is one or more AI functions in which the first network device is interested.

[0341] For a detailed introduction to step 4301, please refer to the content of the above embodiment.

[0342] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0343] FIG5A is an interactive diagram of a management method according to an embodiment of the present disclosure. As shown in FIG5A , the embodiment of the present disclosure relates to a management method for a second network device, the method comprising:

[0344] Step 5101: Receive first information sent by a first network device.

[0345] For a detailed introduction to step 5101, please refer to the content of the above embodiment.

[0346] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0347] FIG5B is an interactive diagram of a management method according to an embodiment of the present disclosure. As shown in FIG5A , an embodiment of the present disclosure relates to a management method for a communication system including a terminal, a first network device, and a second network device, wherein the method includes at least one of the following:

[0348] Step 5201: The terminal reports first information;

[0349] Step 5202: The first network device receives the first information;

[0350] Step 5203: The first network device manages the AI ​​function of the terminal based on the first information.

[0351] Step 5204: The first network device reports the first information to the second network device.

[0352] Step 5205: The second network device receives the first information.

[0353] The optional implementation of steps 5201 to 5205 can be found in the above embodiments.

[0354] In some embodiments, the above method may include the method described in the above embodiments of the communication system side, terminal side, network device side, etc., which will not be repeated here.

[0355] The management method involved in the embodiment of the present disclosure may include at least one of steps 5201 to 5205. For example, step 5201 may be implemented as an independent embodiment, and step 5202 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0356] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0357] The following is an exemplary introduction to the above method.

[0358] Optional embodiment: reporting of additional conditions

[0359] Optionally, when reporting the supported AI functionality, the terminal also reports the additional condition associated with the supported AI functionality, that is, the additional condition is reported in the UE capability.

[0360] Optionally: The additional condition corresponding to the AI ​​functionality supported by the terminal is reported after the terminal reports the supported AI functionality.

[0361] Optionally, the terminal can report additional conditions based on the network's request, and only report additional conditions when receiving the network's report request. Furthermore, the network can send signaling to request the terminal to report, and can configure the terminal to report only some additional conditions associated with AI functionality.

[0362] Optional embodiment: additional condition management

[0363] The first network node (e.g., AMF) can centrally manage the AI ​​functionality and corresponding additional conditions supported by terminals in multiple areas.

[0364] The terminal reports the supported AI functionality and the corresponding additional condition to the second network node, and the first network node then transmits the AI ​​functionality and the additional condition supported by the terminal through the interface between the first network node and the second network node. For example, the terminal reports to the base station through RRC signaling. The base station then transmits the AI ​​functionality and the corresponding additional condition to the first network node for storage through the interface between the base station and the first network node. Alternatively, the terminal reports to the LMF through LPP signaling, and the LMF then transmits the AI ​​functionality and the corresponding additional condition through the interface between the LMF and the first network node.

[0365] When the terminal switches from one cell to another, the source base station can send the AI ​​functionality supported by the terminal and the corresponding additional condition from the source base station to the target base station, or the target base station can obtain the AI ​​functionality supported by the terminal and the corresponding additional condition from the first network node.

[0366] Optional embodiment: application of additional condition

[0367] The network side (the first network node side) may compare the additional condition associated with the AI ​​functionality with the current additional condition to determine whether to activate the functionality or disable the AI ​​functionality.

[0368] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0369] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), which realizes the functions of some or all of the above units or modules by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.

[0370] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationship of the hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and implementing the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0371] FIG6A is a schematic diagram of the structure of the first network device proposed in an embodiment of the present disclosure. As shown in FIG6A , it includes:

[0372] a transceiver module, configured to receive first information, where the first information is used to indicate first parameters corresponding to at least one AI function supported by the terminal, the first parameters being all parameters corresponding to the AI ​​function except a second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario of the AI ​​function;

[0373] A processing module is used to manage the AI ​​function based on the first information.

[0374] Optionally, the processing module is used to execute the steps related to "processing" executed by the first network device in any of the above methods, and the transceiver module is used to execute the steps related to "transmitting and receiving" executed by the first network device in any of the above methods.

[0375] FIG6B is a schematic diagram of the structure of the terminal proposed in an embodiment of the present disclosure. As shown in FIG6B , it includes:

[0376] A transceiver module is configured to report first information, where the first information is used to indicate first parameters corresponding to at least one AI function supported by the terminal, the first parameters being all parameters corresponding to the AI ​​function except the second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario for the AI ​​function.

[0377] Optionally, the above-mentioned transceiver module is used to execute the steps related to "transmitting and receiving" executed by the terminal in any of the above methods, and the above-mentioned terminal also includes a processing module, and the above-mentioned processing module is used to execute the steps related to "processing" executed by the terminal in any of the above methods.

[0378] FIG6C is a schematic diagram of the structure of the second network device proposed in an embodiment of the present disclosure. As shown in FIG6C , it includes:

[0379] A transceiver module is configured to receive first information sent by a first network device; the first information is used to indicate first parameters corresponding to at least one artificial intelligence (AI) function supported by the terminal, the first parameter being a parameter of all parameters corresponding to the AI ​​function except a second parameter, the second parameter being used to determine the AI ​​function, and the first parameter being used to determine an applicable scenario of the AI ​​function.

[0380] Optionally, the above-mentioned transceiver module is used to execute the steps related to "transmitting and receiving" performed by the second network device in any of the above methods, and the above-mentioned terminal also includes a processing module, and the above-mentioned processing module is used to execute the steps related to "processing" performed by the second network device in any of the above methods.

[0381] Figure 7A is a schematic diagram of the structure of a communication device 7100 proposed in an embodiment of the present disclosure. Communication device 7100 can be a network device (e.g., an access network device, a core network device, etc.), a terminal (e.g., a user equipment, etc.), a chip, a chip system, or a processor that supports a network device to implement any of the above methods, or a chip, a chip system, or a processor that supports a terminal to implement any of the above methods. Communication device 7100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

[0382] As shown in Figure 7A, the communication device 7100 includes one or more processors 7101. The processor 7101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process program data. The processor 7101 is used to call instructions to enable the communication device 7100 to perform any of the above methods.

[0383] In some embodiments, the communication device 7100 further includes one or more memories 7102 for storing instructions. Optionally, all or part of the memories 7102 may be located outside the communication device 7100.

[0384] In some embodiments, the communication device 7100 further includes one or more transceivers 7103. When the communication device 7100 includes one or more transceivers 7103, the communication steps such as sending and receiving in the above method are performed by the transceiver 7103, and the other steps are performed by the processor 7101.

[0385] In some embodiments, a transceiver may include a receiver and a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, and transceiver circuit may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

[0386] Optionally, the communication device 7100 further includes one or more interface circuits 7104, which are connected to the memory 7102. The interface circuits 7104 may be configured to receive signals from the memory 7102 or other devices, and may be configured to send signals to the memory 7102 or other devices. For example, the interface circuits 7104 may read instructions stored in the memory 7102 and send the instructions to the processor 7101.

[0387] The communication device 7100 described in the above embodiment may be a network device or a terminal, but the scope of the communication device 7100 described in the present disclosure is not limited thereto, and the structure of the communication device 7100 may not be limited by FIG. 7a. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0388] 7B is a schematic diagram of the structure of a chip 7200 proposed in an embodiment of the present disclosure. If the communication device 7100 can be a chip or a chip system, please refer to the schematic diagram of the structure of the chip 7200 shown in FIG7B , but the present disclosure is not limited thereto.

[0389] The chip 7200 includes one or more processors 7201 , and the processor 7201 is used to call instructions so that the chip 7200 executes any of the above methods.

[0390] In some embodiments, chip 7200 further includes one or more interface circuits 7202, which are connected to memory 7203. Interface circuit 7202 can be used to receive signals from memory 7203 or other devices, and can be used to send signals to memory 7203 or other devices. For example, interface circuit 7202 can read instructions stored in memory 7203 and send the instructions to processor 7201. Optionally, the terms interface circuit, interface, transceiver pin, and transceiver are interchangeable.

[0391] In some embodiments, the chip 7200 further includes one or more memories 7203 for storing instructions. Alternatively, all or part of the memories 7203 may be located outside the chip 7200.

[0392] The present disclosure also proposes a storage medium having instructions stored thereon. When the instructions are executed on the communication device 7100, the communication device 7100 executes any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a temporary storage medium.

[0393] The present disclosure also provides a program product, which, when executed by the communication device 7100, enables the communication device 7100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0394] The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to perform any one of the above methods.

[0395] In the above embodiments, all or part of the embodiments can be implemented by software, hardware, firmware or any combination thereof. When implemented using software, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer programs. When the computer program is loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present disclosure are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer program can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer program can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a high-density digital video disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0396] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0397] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0398] The above description is merely a specific embodiment of the present disclosure, but the scope of protection of the present disclosure is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this disclosure should be included in the scope of protection of the present disclosure. Therefore, the scope of protection of the present disclosure should be based on the scope of protection of the claims.

Claims

1. A management method, characterized in that, Performed by a first network device, the method includes: Receiving first information, where the first information is used to indicate first parameters respectively corresponding to at least one artificial intelligence (AI) function supported by a terminal. The first parameters are parameters other than a second parameter among all parameters corresponding to the AI function. The second parameter is used to determine the AI function, and the first parameter is used to determine the applicable scenario of the AI function; Managing the AI function based on the first information.

2. The method according to claim 1, characterized in that, The receiving of the first information includes: Receiving the first information reported by the terminal simultaneously when reporting at least one AI function supported by the terminal.

3. The method according to claim 2, wherein The receiving of the first information reported by the terminal simultaneously when reporting at least one AI function supported by the terminal includes: Receiving the first information and at least one AI function supported by the terminal reported by the terminal through a first signaling.

4. The method according to claim 3, wherein The first signaling is used to indicate the terminal capabilities of the terminal.

5. The method according to claim 1, characterized in that, The receiving of the first information includes: Receiving the first information reported by the terminal after reporting at least one AI function supported by the terminal.

6. The method according to claim 1, wherein The receiving of the first information includes: Sending a first request to the terminal, where the first request is used to request the first information; Receiving the first information reported by the terminal.

7. The method according to claim 6, wherein The first request is further used to request the terminal to report first parameters corresponding to a first AI function, where the first AI function includes at least one AI function; and The first information reported by the terminal is used to indicate first parameters respectively corresponding to at least one AI function supported by the terminal in the first AI function.

8. The method according to claim 7, wherein The first AI function is one or more AI functions supported by the first network device, or the first AI function is one or more AI functions that the first network device is interested in.

9. The method according to any one of claims 1-8, characterized in that, The managing of the AI function based on the first information includes: Determining first parameters corresponding to a second AI function, where the second AI function is an AI function currently running on the terminal or an AI function to be run on the terminal, and the second AI function includes one or more AI functions; Sending a first signaling and / or a second signaling based on the first information and the first parameters corresponding to the second AI function; the first signaling is used to activate an AI function in the second AI function whose first parameters are the same as the first parameters indicated by the first information; the second signaling is used to deactivate or turn off an AI function in the second AI function whose first parameters are different from the first parameters indicated by the first information.

10. The method according to any one of claims 1-9, characterized in that, The method further includes: Reporting the first information to a second network device.

11. The method according to any one of claims 1-9, characterized in that, The method further includes: When the terminal undergoes a cell handover and the first network device is the source network device in the cell handover process, sending the first information to the second network device and / or the target network device in the cell handover process.

12. The method according to any one of claims 1-9, characterized in that, The receiving of the first information includes: The terminal undergoes cell handover, and the first network device is the target network device in the cell handover process, and receives the first information from the second network device and / or the source network device in the cell handover process.

13. The method according to any one of claims 1-12, characterized in that, The first parameter indicated by the first information is: the first parameter used by the terminal when training the AI model of the AI function, or the first parameter supported by the training scenario when the terminal trains the AI model of the AI function.

14. A management method, characterized in that, Executed by the terminal, the method includes: Reporting first information, where the first information is used to indicate the first parameters respectively corresponding to at least one AI function supported by the terminal. The first parameter is a parameter other than the second parameter among all the parameters corresponding to the AI function. The second parameter is used to determine the AI function, and the first parameter is used to determine the applicable scenario of the AI function.

15. The method according to claim 14, characterized in that, The reporting of the first information includes: Reporting the first information simultaneously when reporting at least one AI function supported by the terminal.

16. The method according to claim 15, wherein The reporting of the first information simultaneously when reporting at least one AI function supported by the terminal includes: Reporting the first information and at least one AI function supported by the terminal simultaneously through a first signaling.

17. The method according to claim 16, wherein The first signaling is used to indicate the terminal capabilities of the terminal.

18. The method according to claim 14, wherein The reporting of the first information includes: Reporting the first information after reporting at least one AI function supported by the terminal.

19. The method according to claim 14, wherein The reporting of the first information includes: Receiving a first request sent by the first network device, where the first request is used to request the first information; Reporting the first information to the first network device.

20. The method according to claim 19, wherein The first request is further used to request the terminal to report the first parameter corresponding to the first AI function, and the first AI function includes at least one AI function; and The first information reported by the terminal is used to indicate the first parameters respectively corresponding to at least one AI function supported by the terminal in the first AI function.

21. The method according to claim 20, wherein The first AI function is one or more AI functions supported by the first network device, or the first AI function is one or more AI functions that the first network device is interested in.

22. A management method, characterized in that, Executed by the second network device, the method includes: Receiving the first information sent by the first network device; the first information is used to indicate the first parameters respectively corresponding to at least one AI function supported by the terminal. The first parameter is a parameter other than the second parameter among all the parameters corresponding to the AI function. The second parameter is used to determine the AI function, and the first parameter is used to determine the applicable scenario of the AI function.

23. A management method for a communication system, where the communication system includes a terminal, a first network device, and a second network device. The method includes: The terminal reports first information, where the first information is used to indicate the first parameters respectively corresponding to at least one AI function supported by the terminal. The first parameter is a parameter other than the second parameter among all the parameters corresponding to the AI function. The second parameter is used to determine the AI function, and the first parameter is used to determine the applicable scenario of the AI function; The first network device receives the first information; The first network device manages the AI function based on the first information; The first network device reports the first information to the second network device; The second network device receives the first information.

24. A first network device, characterized in that, Comprising: a transceiver module, configured to receive first information, where the first information is used to indicate first parameters respectively corresponding to at least one AI function supported by a terminal, the first parameter being a parameter other than a second parameter among all parameters corresponding to the AI function, the second parameter being used to determine the AI function, and the first parameter being used to determine an applicable scenario of the AI function; a processing module, configured to manage the AI function based on the first information. Comprising:

25. A terminal, characterized in that, a transceiver module, configured to report first information, where the first information is used to indicate first parameters respectively corresponding to at least one AI function supported by a terminal, the first parameter being a parameter other than a second parameter among all parameters corresponding to the AI function, the second parameter being used to determine the AI function, and the first parameter being used to determine an applicable scenario of the AI function. Comprising:

26. A second network device, characterized in that, a transceiver module, configured to receive first information sent by a first network device; The first information is used to indicate first parameters respectively corresponding to at least one artificial intelligence (AI) function supported by a terminal, the first parameter being a parameter other than a second parameter among all parameters corresponding to the AI function, the second parameter being used to determine the AI function, and the first parameter being used to determine an applicable scenario of the AI function. Comprising:

27. A communication device, characterized in that, one or more processors; a memory coupled to the processor, where instructions are stored on the memory, and when the instructions are executed by the processor, the communication device is caused to execute the method according to any one of claims 1 to 22. Comprising a terminal, a first network device, and a second network device, where the first network device is configured to implement the method according to any one of claims 1 to 13, the terminal is configured to implement the method according to any one of claims 14 to 21, and the second network device is configured to implement the method according to claim 22.

28. A communication system, characterized in that, When the instructions run on the communication device, the communication device is caused to execute the method according to any one of claims 1 to 22.

29. A storage medium, the storage medium stores instructions, characterized in that, ​

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