Method for information indication method, device, system, and storage medium

Abstract

Embodiments of the present disclosure relate to the technical field of communications. Disclosed are a method and apparatus for an information indication method, and a computer-readable storage medium. The method comprises: acquiring signaling, the signaling being used for indicating at least one of the following: first information related to switching of an artificial intelligence (AI) operation in an AI operation mode; second information related to rollback of the AI operation in the AI operation mode; and third information related to switching from a non-AI operation mode to the AI operation mode; and performing a corresponding operation on the basis of the signaling. The embodiments of the present disclosure provide an indication method for implementing the switching and rollback of an AI model or an AI function, thereby meeting the AI or non-AI based communication requirements in future wireless communication systems.

Description

Method, device, system and storage medium for information indication method Technical Field

[0001] The present disclosure relates to the field of communication technology, and in particular to a method, device, system and storage medium for an information indication method. Background Art

[0002] In recent years, artificial intelligence (AI) technology has achieved continuous breakthroughs in various fields. The continued development of fields such as intelligent voice and computer vision has not only brought a rich variety of applications to smart terminals, but has also found widespread application in education, transportation, home furnishings, healthcare, retail, security, and other fields. While bringing convenience to people's lives, it is also promoting industrial upgrading across various industries.

[0003] Summary of the Invention

[0004] Embodiments of the present disclosure provide a method, device, system, and storage medium for an information indication method.

[0005] A first aspect of the present disclosure provides an information indication method, the method comprising:

[0006] Acquire signaling, the signaling being used to indicate at least one of the following:

[0007] First information related to switching of AI operation in artificial intelligence (AI) operation mode;

[0008] Second information related to rollback of AI operation in AI operation mode;

[0009] third information related to switching from a non-AI operating mode to an AI operating mode;

[0010] A corresponding operation is performed based on the signaling.

[0011] A second aspect of the present disclosure provides an information indication method, the method comprising:

[0012] Sending signaling, the signaling being used to indicate at least one of the following:

[0013] first information related to switching of AI operation in the AI ​​operation mode;

[0014] Second information related to rollback of AI operation in AI operation mode;

[0015] Third information related to switching from the non-AI operating mode to the AI ​​operating mode.

[0016] According to a third aspect of the present disclosure, a terminal is provided, including:

[0017] The first transceiver module is configured to obtain signaling, where the signaling is configured to indicate at least one of the following:

[0018] First information related to switching of AI operation in artificial intelligence (AI) operation mode;

[0019] Second information related to rollback of AI operation in AI operation mode;

[0020] third information related to switching from a non-AI operating mode to an AI operating mode;

[0021] The first processing module is configured to perform corresponding operations based on the signaling.

[0022] A fourth aspect of the embodiments of the present disclosure provides a network device, including:

[0023] The second transceiver module is configured to send signaling, where the signaling is configured to indicate at least one of the following:

[0024] First information related to switching of AI operation in artificial intelligence (AI) operation mode;

[0025] Second information related to rollback of AI operation in AI operation mode;

[0026] Third information related to switching from the non-AI operating mode to the AI ​​operating mode.

[0027] According to a fifth aspect of the present disclosure, a terminal is provided, including:

[0028] one or more processors;

[0029] The terminal is used to execute the optional implementation of the aforementioned first aspect.

[0030] According to a sixth aspect of the present disclosure, a network device is provided, including:

[0031] one or more processors;

[0032] The network device is used to execute the optional implementation method of the aforementioned second aspect.

[0033] In a seventh aspect of an embodiment of the present disclosure, a communication system is proposed, including a terminal and a network device, wherein the terminal is used to implement the method described in the optional implementation manner of the first aspect, and the network device is used to implement the method described in the optional implementation manner of the second aspect.

[0034] According to an eighth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, in which executable instructions are stored. The executable instructions are loaded and executed by the processor to implement the method described in the optional implementation of the first or second aspect above.

[0035] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0037] FIG1 is a schematic structural diagram of a wireless communication system according to an exemplary embodiment;

[0038] FIG2 is a flow chart showing an information indication method according to an exemplary embodiment;

[0039] FIG3a is a schematic flow chart of an information indication method according to an embodiment of the present disclosure;

[0040] FIG3 b is a schematic flow chart of an information indication method according to an embodiment of the present disclosure;

[0041] FIG3c is a schematic flow chart of an information indication method according to an embodiment of the present disclosure;

[0042] FIG3 d is a schematic flow chart of an information indication method according to an embodiment of the present disclosure;

[0043] FIG3e is a flow chart of an information indication method according to an embodiment of the present disclosure.

[0044] FIG4a is a schematic flow chart of an information indication method according to an embodiment of the present disclosure;

[0045] FIG4 b is a schematic flow chart of an information indication method according to an embodiment of the present disclosure;

[0046] FIG4c is a schematic flow chart of an information indication method according to an embodiment of the present disclosure;

[0047] FIG4 d is a schematic flow chart of an information indication method according to an embodiment of the present disclosure;

[0048] FIG4e is a schematic flow chart of an information indication method according to an embodiment of the present disclosure;

[0049] FIG5 is a flow chart of an information indication method according to an embodiment of the present disclosure;

[0050] FIG6 a is a schematic structural diagram of a terminal proposed in an embodiment of the present disclosure;

[0051] FIG6 b is a schematic diagram of the structure of a network device proposed in an embodiment of the present disclosure;

[0052] FIG7a is a schematic structural diagram of a communication device proposed in an embodiment of the present disclosure;

[0053] FIG7 b is a schematic diagram of the structure of the chip proposed in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0054] The embodiments of the present disclosure provide a method, a device, a communication system, and a storage medium for an information indication method.

[0055] In a first aspect, an embodiment of the present disclosure provides an information indication method, the method comprising:

[0056] Acquire signaling, the signaling being used to indicate at least one of the following:

[0057] First information related to switching of AI operation in artificial intelligence (AI) operation mode;

[0058] Second information related to rollback of AI operation in AI operation mode;

[0059] third information related to switching from a non-AI operating mode to an AI operating mode;

[0060] A corresponding operation is performed based on the signaling.

[0061] In the above embodiments, signaling is used to indicate the switching of AI models or AI functions, as well as fallback, so as to meet the communication needs based on AI or non-AI in future wireless communication systems.

[0062] In conjunction with some embodiments of the first aspect, in some embodiments, the first information includes: at least one of information related to switching of an AI function and information related to switching of an AI model;

[0063] The second information includes: at least one of AI function rollback and AI model rollback;

[0064] The third information includes at least one of the following:

[0065] Switch from non-AI operation mode to AI operation mode;

[0066] Switch from non-AI operation mode to AI operation mode AI function;

[0067] Switches the AI ​​model from non-AI operation mode to AI operation mode.

[0068] In the above embodiment, indications of various situations related to AI model or AI function switching and fallback can be implemented.

[0069] In conjunction with some embodiments of the first aspect, in some embodiments, the signaling includes first signaling and second signaling,

[0070] The first signaling is used to indicate at least one of the following:

[0071] Information related to switching of AI functions;

[0072] Information related to switching of AI models;

[0073] Switch from non-AI operation mode to AI operation mode AI function;

[0074] Switching from non-AI operating mode to AI model in AI operating mode;

[0075] The second signaling is used to indicate at least one of the following:

[0076] AI function regression;

[0077] AI model rollback;

[0078] Switches from non-AI operating mode to AI operating mode.

[0079] In the above embodiment, independent instructions are used for switching of the AI ​​model or AI function, and for rolling back the AI ​​model or AI function, so as to ensure the validity of the instructions.

[0080] In combination with some embodiments of the first aspect, in some embodiments, the first signaling is used to indicate an AI function or AI model to be activated.

[0081] In the above embodiment, by indicating the AI ​​model or AI function to be activated, the implementation of the AI ​​model or AI function switching can be ensured.

[0082] In conjunction with some embodiments of the first aspect, in some embodiments, performing the corresponding operation based on the signaling includes at least one of the following: switching the currently used AI function to the AI ​​function indicated by the first signaling;

[0083] Switching the currently used AI model to the AI ​​model indicated by the first signaling;

[0084] Switching the non-AI operation to the AI ​​operation of the AI ​​function indicated by the first signaling;

[0085] Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first signaling;

[0086] Falling back from the AI ​​operation mode to the non-AI operation mode based on an instruction of the second signaling;

[0087] Based on the instruction of the second signaling, the non-AI operation mode is switched to the AI ​​operation mode.

[0088] In the above embodiment, the corresponding operation is performed based on the instruction of the signaling, which can ensure the accuracy of the performed operation.

[0089] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0090] Obtaining first configuration information related to AI operations, the first configuration information including at least one of at least one available AI model and at least one available AI function;

[0091] The AI ​​model indicated by the first signaling is one of the at least one available AI model; or,

[0092] The AI ​​function indicated by the first signaling is one of the at least one available AI function.

[0093] In the above embodiment, by indicating that an AI model or AI function in the configured available AI model or AI function set is the AI ​​model or AI function to be activated, the success rate of the AI ​​model or AI function switching can be ensured.

[0094] In conjunction with some embodiments of the first aspect, in some embodiments, the first information field in the signaling is used to indicate at least one of the following:

[0095] Information related to switching of AI functions;

[0096] Information related to switching of AI models;

[0097] Switch from non-AI operation mode to AI operation mode AI function;

[0098] Switching from non-AI operating mode to AI model in AI operating mode;

[0099] The second information field in the signaling indicates at least one of the following:

[0100] AI function regression;

[0101] AI model rollback;

[0102] Switches from non-AI operating mode to AI operating mode.

[0103] In the above embodiment, different information fields of a signaling are used to indicate AI model or AI function switching, as well as fallback, which can effectively save signaling overhead.

[0104] In combination with some embodiments of the first aspect, in some embodiments, the first information field is used to indicate the AI ​​function or AI model to be activated.

[0105] In the above embodiment, by indicating the AI ​​model or AI function to be activated, the implementation of the AI ​​model or AI function switching can be ensured.

[0106] In conjunction with some embodiments of the first aspect, in some embodiments, performing the corresponding operation based on the signaling includes at least one of the following: switching the currently used AI function to the AI ​​function indicated by the first information field;

[0107] Switching the currently used AI model to the AI ​​model indicated by the first information field;

[0108] Switching the non-AI operation to the AI ​​operation based on the AI ​​function indicated by the first information field;

[0109] Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first information field;

[0110] Falling back from the AI ​​operation mode to the non-AI operation mode based on an indication of the second information field;

[0111] Based on the indication of the second information field, the operation mode is switched from the non-AI operation mode to the AI ​​operation mode.

[0112] In the above embodiment, the corresponding operation is performed based on the instruction of the signaling, which can ensure the accuracy of the performed operation.

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

[0114] Obtaining first configuration information related to AI operations, the first configuration information including at least one of at least one available AI model and at least one available AI function;

[0115] The AI ​​model indicated by the first information field is one of the at least one available AI model; or,

[0116] The AI ​​function indicated by the first information field is one of the at least one available AI function.

[0117] In the above embodiment, by indicating that an AI model or AI function in the configured available AI model or AI function set is the AI ​​model or AI function to be activated, the success rate of the AI ​​model or AI function switching can be ensured.

[0118] In combination with some embodiments of the first aspect, in some embodiments, the signaling is used to jointly indicate at least two of the first information, the second information, and the third information.

[0119] In the above embodiment, one signaling is used to jointly indicate the switching of the AI ​​model or AI function and the fallback, which can effectively save the signaling overhead.

[0120] In combination with some embodiments of the first aspect, the present invention further includes:

[0121] Acquire second configuration information related to the AI ​​operation, where the second configuration information includes a correspondence between a plurality of indicator values ​​and the AI ​​operation;

[0122] The multiple indicator values ​​are determined by at least one of the following methods:

[0123] The second information and at least one available AI model are jointly encoded;

[0124] The third information and at least one available AI model are jointly encoded;

[0125] The second information, the third information, and at least one available AI model are jointly encoded;

[0126] The second information and the available at least one AI function are jointly encoded;

[0127] The third information and at least one available AI function are jointly encoded;

[0128] The second information, the third information, and at least one available AI function are jointly encoded.

[0129] In the above embodiment, the corresponding operation is performed based on the instruction of the signaling, which can ensure the accuracy of the performed operation.

[0130] In conjunction with some embodiments of the first aspect, the signaling is used to indicate a first indication value among the multiple indication values, and the performing a corresponding operation based on the signaling includes:

[0131] Determine an operation to be performed and perform the operation according to the first indication value and the corresponding relationship;

[0132] The operation includes any of the following:

[0133] Switching the currently used AI function to the AI ​​function indicated by the first indication value;

[0134] Switching the currently used AI model to the AI ​​model indicated by the first indication value;

[0135] Switching the non-AI operation to the AI ​​operation of the AI ​​function indicated by the first indication value;

[0136] Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first indication value;

[0137] Fall back from AI operation mode to non-AI operation mode;

[0138] Switches from non-AI operating mode to AI operating mode.

[0139] In the above embodiment, the corresponding operation is performed based on the instruction of the signaling, which can ensure the accuracy of the performed operation.

[0140] In a second aspect, an embodiment of the present disclosure provides a method for information indication, the method comprising:

[0141] Sending signaling, the signaling being used to indicate at least one of the following:

[0142] first information related to switching of AI operation in the AI ​​operation mode;

[0143] Second information related to rollback of AI operation in AI operation mode;

[0144] Third information related to switching from the non-AI operating mode to the AI ​​operating mode.

[0145] In conjunction with some embodiments of the second aspect, in some embodiments, the first information includes: at least one of information related to switching of an AI function and information related to switching of an AI model; the second information includes: at least one of AI function fallback and AI model fallback; and the third information includes at least one of the following:

[0146] Switch from non-AI operation mode to AI operation mode;

[0147] Switch from non-AI operation mode to AI operation mode AI function;

[0148] Switches the AI ​​model from non-AI operation mode to AI operation mode.

[0149] In conjunction with some embodiments of the second aspect, in some embodiments, the signaling includes first signaling and second signaling,

[0150] The first signaling is used to indicate at least one of the following:

[0151] Information related to switching of AI functions;

[0152] Information related to switching of AI models;

[0153] Switch from non-AI operation mode to AI operation mode AI function;

[0154] Switching from non-AI operating mode to AI model in AI operating mode;

[0155] The second signaling is used to indicate at least one of the following:

[0156] AI function regression;

[0157] AI model rollback;

[0158] Switches from non-AI operating mode to AI operating mode.

[0159] In combination with some embodiments of the second aspect, in some embodiments, the first signaling is used to indicate an AI function or AI model to be activated.

[0160] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0161] Sending first configuration information related to AI operation, the first configuration information including at least one of at least one available AI model and at least one available AI function;

[0162] The AI ​​model indicated by the first signaling is one of the at least one available AI model; or,

[0163] The AI ​​function indicated by the first signaling is one of the at least one available AI function.

[0164] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0165] Perform at least one of the following operations based on the signaling:

[0166] Switching the currently used AI function to the AI ​​function indicated by the first signaling;

[0167] Switching the currently used AI model to the AI ​​model indicated by the first signaling;

[0168] Switching the non-AI operation to the AI ​​operation of the AI ​​function indicated by the first signaling;

[0169] Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first signaling;

[0170] Falling back from the AI ​​operation mode to the non-AI operation mode based on an instruction of the second signaling;

[0171] Based on the instruction of the second signaling, the non-AI operation mode is switched to the AI ​​operation mode.

[0172] In conjunction with some embodiments of the second aspect, in some embodiments, the first information field in the signaling is used to indicate at least one of the following:

[0173] Information related to switching of AI functions;

[0174] Information related to switching of AI models;

[0175] Switch from non-AI operation mode to AI operation mode AI function;

[0176] Switching from non-AI operating mode to AI model in AI operating mode;

[0177] The second information field in the signaling indicates at least one of the following:

[0178] AI function regression;

[0179] AI model rollback;

[0180] Switches from non-AI operating mode to AI operating mode.

[0181] In combination with some embodiments of the second aspect, in some embodiments, the first information field is used to indicate the AI ​​function or AI model to be activated.

[0182] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0183] Sending first configuration information related to AI operation, the first configuration information including at least one of at least one available AI model and at least one available AI function;

[0184] The AI ​​model indicated by the first information field is one of the at least one available AI model; or,

[0185] The AI ​​function indicated by the first information field is one of the at least one available AI function.

[0186] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0187] Perform at least one of the following operations based on the signaling:

[0188] Switching the currently used AI function to the AI ​​function indicated by the first information field;

[0189] Switching the currently used AI model to the AI ​​model indicated by the first information field;

[0190] Switching the non-AI operation to the AI ​​operation based on the AI ​​function indicated by the first information field;

[0191] Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first information field;

[0192] Falling back from the AI ​​operation mode to the non-AI operation mode based on an indication of the second information field;

[0193] Based on the indication of the second information field, the operation mode is switched from the non-AI operation mode to the AI ​​operation mode.

[0194] In combination with some embodiments of the second aspect, in some embodiments, the signaling is used to jointly indicate at least two of the first information, the second information, and the third information.

[0195] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0196] Sending second configuration information related to the AI ​​operation, where the second configuration information includes a correspondence between a plurality of indicator values ​​and the AI ​​operation;

[0197] The multiple indicator values ​​are determined by at least one of the following methods:

[0198] jointly encoding the second information and at least one available AI model;

[0199] jointly encoding the third information and at least one available AI model;

[0200] jointly encoding the second information, the third information, and at least one available AI model;

[0201] jointly encoding the second information and at least one available AI function;

[0202] jointly encoding the third information and at least one available AI function;

[0203] The second information, the third information, and at least one available AI function are jointly encoded.

[0204] In conjunction with some embodiments of the second aspect, in some embodiments, the signaling is used to indicate a first indication value among the multiple indication values, and the method further includes:

[0205] Determine an operation to be performed and perform the operation according to the first indication value and the corresponding relationship;

[0206] The operation includes any of the following:

[0207] Switching the currently used AI function to the AI ​​function indicated by the first indication value;

[0208] Switching the currently used AI model to the AI ​​model indicated by the first indication value;

[0209] Switching the non-AI operation to the AI ​​operation of the AI ​​function indicated by the first indication value;

[0210] Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first indication value;

[0211] Fall back from AI operation mode to non-AI operation mode;

[0212] Switches from non-AI operating mode to AI operating mode.

[0213] In a third aspect, an embodiment of the present disclosure provides a terminal, including:

[0214] The first transceiver module is configured to obtain signaling, where the signaling is configured to indicate at least one of the following:

[0215] First information related to switching of AI operation in artificial intelligence (AI) operation mode;

[0216] Second information related to rollback of AI operation in AI operation mode;

[0217] third information related to switching from a non-AI operating mode to an AI operating mode;

[0218] The first processing module is configured to perform corresponding operations based on the signaling.

[0219] In a fourth aspect, an embodiment of the present disclosure provides a network device, including:

[0220] The second transceiver module is configured to send signaling, where the signaling is configured to indicate at least one of the following:

[0221] First information related to switching of AI operation in artificial intelligence (AI) operation mode;

[0222] Second information related to rollback of AI operation in AI operation mode;

[0223] Third information related to switching from the non-AI operating mode to the AI ​​operating mode.

[0224] In a fifth aspect, an embodiment of the present disclosure provides a terminal, including:

[0225] one or more processors;

[0226] The terminal executes the method described in the optional implementation manner of the first aspect.

[0227] According to a sixth aspect of an embodiment of the present disclosure, a network device is provided, including:

[0228] one or more processors;

[0229] In which, the network device executes the method described in the optional implementation manner of the second aspect.

[0230] In the seventh aspect, an embodiment of the present disclosure proposes a communication system, including a terminal and a network device, wherein the terminal is used to implement the method described in the optional implementation mode of the first aspect, and the network device is used to implement the method described in the optional implementation mode of the second aspect.

[0231] In an eighth aspect, an embodiment of the present disclosure proposes a storage medium, which stores instructions. When the instructions are executed on a communication device, the communication device executes the method described in the optional implementation of the first aspect or the second aspect.

[0232] In a ninth aspect, an embodiment of the present disclosure proposes a program product. When the program product is executed by a communication device, the communication device executes the method described in the optional implementation manner of the first aspect or the second aspect.

[0233] In a tenth aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the method described in the optional implementation of the first aspect or the second aspect.

[0234] In an eleventh aspect, an embodiment of the present disclosure proposes a chip or a chip system, which includes a processing circuit for executing the method described in the optional implementation of the first or second aspect above.

[0235] It is understood that the apparatus, communication device, communication system, storage medium, program product, and computer program of the above-mentioned information indication method are all used to perform the method 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 method and will not be repeated here. Among them, the communication device can be a terminal or a network device.

[0236] The present disclosure provides a method, apparatus, communication device, communication system, and storage medium for an information indication method. In some embodiments, the terms "information indication method," "information processing method," and "information indication method" are interchangeable; the terms "information indication method apparatus," "information processing apparatus," and "communication apparatus" are interchangeable; and the terms "information processing system," "communication system," and "communication system" are interchangeable.

[0237] 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 embodiments 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.

[0238] 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.

[0239] 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 embodiments of the present disclosure.

[0240] 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.

[0241] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0242] 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.

[0243] 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.

[0244] 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.

[0245] 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 configuration" and the "second configuration" can be the same information or different information, and their contents can be the same or different.

[0246] 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.

[0247] 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.

[0248] 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.

[0249] 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.

[0250] 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.

[0251] 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.

[0252] 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 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, which can also be referred to as 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, languages ​​such as "uplink" and "downlink" can also be replaced with languages ​​corresponding to communication between terminals (for example, "side").

[0253] For example, an uplink channel, a downlink channel, etc. may be replaced by a side channel, and an uplink, a downlink, etc. may be replaced by a side link.

[0254] In some embodiments, terms such as "uplink", "uplink", "physical uplink" can be interchangeable with each other, and terms such as "downlink", "downlink", "physical downlink" can be interchangeable with each other, and terms such as "side", "sidelink", "side communication", "sidelink communication", "direct connection", "direct link", "direct communication", "direct link communication" can be interchangeable with each other.

[0255] In some embodiments, the terms "downlink control information (DCI)", "downlink (DL) assignment", "DL DCI", "uplink (UL) grant", "UL DCI" and the like may be used interchangeably.

[0256] In some embodiments, terms such as "physical downlink shared channel (PDSCH)" and "DL data" can be used interchangeably, and terms such as "physical uplink shared channel (PUSCH)" and "UL data" can be used interchangeably.

[0257] In some embodiments, the determination or judgment can be performed by a value represented by 1 bit (0 or 1), or by a true or false value (Boolean value) represented by true or false, or by comparison of numerical values ​​(for example, comparison with a predetermined value), but is not limited thereto.

[0258] In some embodiments, "network" can be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

[0259] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0260] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0261] FIG1 is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0262] As shown in FIG1 , a communication system 100 includes a terminal 101 and a network device 102 .

[0263] In some embodiments, the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.

[0264] In some embodiments, the network device 102 may include at least one of an access network device and a core network device.

[0265] In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network. The 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.

[0266] In some embodiments, the technical solutions of the embodiments of the present disclosure may be applicable to the Open RAN architecture. In this case, the interfaces between or within the network devices involved in the embodiments of the present disclosure may become internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces may be implemented through software or programs.

[0267] 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 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.

[0268] In some embodiments, the access network device may be a single device, or may be multiple devices or a group of devices, each including all or part of a first network element, a second network element, etc. The network element may be virtual or physical. The network device may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0269] In some embodiments, a core network device may be a device including one or more network elements, or may be multiple devices or device groups, each including all or part of the one or more network elements. The network element may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0270] 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.

[0271] 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.

[0272] The embodiments of the present disclosure may be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), future radio access (FRA), new radio access technology (RAT), new radio (NR), new radio access (NX), future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X), systems utilizing other information indication 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).

[0273] The widespread adoption of 5G technology is bringing profound changes to every aspect of our lives. According to the ITU's vision, 5G will permeate every aspect of future society, building a comprehensive, user-centric information ecosystem. 5G user experience rates can reach 100Mbit / s to 1Gbit / s, enabling premium services like mobile virtual reality. 5G peak rates can reach 10Gbit / s to 20Gbit / s, with traffic density reaching 10Mbit / s / m², supporting a future growth of more than a thousand-fold in mobile traffic. 5G connection density can reach 1 million connections / m², effectively supporting massive IoT devices. 5G transmission latency can reach milliseconds, meeting the stringent requirements of connected vehicles and industrial control. 5G can support speeds of 500km / h, ensuring a superior user experience even in high-speed rail environments. It is clear that 5G, as a representative of new infrastructure, will reshape the future information society.

[0274] In recent years, artificial intelligence (AI) technology has achieved continuous breakthroughs in numerous fields. The continued development of fields such as intelligent voice and computer vision has not only brought a rich variety of applications to smart terminals, but has also found widespread application in education, transportation, home furnishings, healthcare, retail, security, and other fields. This has brought convenience to people's lives while also promoting industrial upgrades across various industries. AI technology is also rapidly intersecting with other disciplines, integrating knowledge from different disciplines while also providing new directions and methods for their development.

[0275] In the field of communications, there is an urgent need to study how to introduce artificial intelligence technology into wireless air interfaces, and at the same time explore how artificial intelligence technology can assist in improving the transmission technology of wireless air interfaces.

[0276] In the research of wireless AI, application cases of artificial intelligence include but are not limited to AI-based CSI enhancement, AI-based beam management, and AI-based positioning.

[0277] For an AI application case (e.g., AI-based CSI compression, AI-based CSI prediction, etc.), multiple AI functionalities or AI models are defined. The management of AI functionality or AI model under an AI application case (also referred to as an AI use case, AI feature) includes switching between multiple AI functionalities and AI models. Switching of AI models or AI functionality means shutting down (deactivating) the currently used AI model or AI functionality and activating other AI models or AI functionalities. In addition, the management of AI models or AI functionality also includes falling back from AI operation mode to non-AI operation mode, or switching from non-AI operation mode to AI operation mode.

[0278] Regarding AI function management or AI model management, including the switching of AI models or AI functionality, as well as the fallback or switching of AI operation modes, the problem of how to indicate this needs to be solved urgently.

[0279] The solution provided by the embodiments of the present disclosure proposes an AI model or AI functionality switching, as well as an indication method for AI operation mode fallback or switching.

[0280] Based on the above wireless communication system, various embodiments of the information indication method proposed in the present disclosure are described in detail below.

[0281] FIG2 is an interactive diagram of an information indication method according to an embodiment of the present disclosure. As shown in FIG2 , the information indication method is used in a communication system 100, and the method includes:

[0282] S201 , the network device 102 sends a signaling to the terminal 101 .

[0283] In some embodiments, the terminal receives signaling sent by the network device 102.

[0284] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", and "data" can be used interchangeably.

[0285] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0286] In some embodiments, the signaling is used to indicate at least one of the following:

[0287] First information related to switching of AI operation in artificial intelligence (AI) operation mode;

[0288] Second information related to rollback of AI operation in AI operation mode;

[0289] Third information related to switching from the non-AI operating mode to the AI ​​operating mode.

[0290] In some embodiments, the first information includes at least one of information related to switching of an AI function and information related to switching of an AI model.

[0291] In some embodiments, the second information includes at least one of: AI function fallback and AI model fallback.

[0292] In some embodiments, the third information includes at least one of the following:

[0293] Switch from non-AI operation mode to AI operation mode;

[0294] Switch from non-AI operation mode to AI operation mode AI function;

[0295] Switches the AI ​​model from non-AI operation mode to AI operation mode.

[0296] In the embodiments of the present disclosure, the switching of the AI ​​model or AI functionality and the indication of fallback or switching of the AI ​​operation mode can be achieved by any of the following three methods.

[0297] The first method: Use two signalings to indicate switching and fallback separately. Specifically:

[0298] The signaling includes first signaling and second signaling, wherein the first signaling is used to indicate at least one of the following:

[0299] Information related to switching of AI functions;

[0300] Information related to switching of AI models;

[0301] Switch from non-AI operation mode to AI operation mode AI function;

[0302] Switching from non-AI operating mode to AI model in AI operating mode;

[0303] The second signaling is used to indicate at least one of the following:

[0304] AI function regression;

[0305] AI model rollback;

[0306] Switches from non-AI operating mode to AI operating mode.

[0307] In some embodiments, the first signaling is used to indicate an AI function or AI model to be activated.

[0308] In some embodiments, the first signaling may be carried by downlink signaling of the physical layer, such as downlink control information (DCI), or by media access control (MAC) layer signaling, such as MAC CE (Control Element), or by higher layer signaling, such as radio resource control (RRC) signaling, or by LPP (Positioning Protocol, LTE Positioning Protocol; LTE: Long Term Evolution) signaling. The second signaling may be carried by signaling such as LPP, RRC, MAC, DCI, but is not limited thereto.

[0309] The second method is to use two information fields in one signaling to indicate switching and fallback respectively. Specifically:

[0310] The first information field in the signaling is used to indicate at least one of the following:

[0311] Information related to switching of AI functions;

[0312] Information related to switching of AI models;

[0313] Switch from non-AI operation mode to AI operation mode AI function;

[0314] Switching from non-AI operating mode to AI model in AI operating mode;

[0315] The second information field in the signaling indicates at least one of the following:

[0316] AI function regression;

[0317] AI model rollback;

[0318] Switches from non-AI operating mode to AI operating mode.

[0319] In some embodiments, the first information field is used to indicate an AI function or AI model to be activated.

[0320] In some embodiments, the signaling may be, but is not limited to, LPP, RRC, MAC, DCI and other signaling.

[0321] It should be noted that, in this embodiment, the information domain may also be referred to as an information field.

[0322] The third method: using one signaling to jointly indicate switching and fallback, specifically: the signaling is used to jointly indicate at least two of the first information, the second information and the third information.

[0323] In some embodiments, the signaling may be, but is not limited to, LPP, RRC, MAC, DCI and other signaling.

[0324] When the first and second methods are adopted, the method may further include:

[0325] S202 . The network device 102 sends first configuration information to the terminal 101 .

[0326] In some embodiments, the network device may send first configuration information related to the AI ​​operation to the terminal.

[0327] In some embodiments, the first configuration information includes at least one of at least one available AI model and at least one available AI function.

[0328] In some embodiments, the network device may determine at least one available AI model or AI function based on the capabilities reported by the terminal.

[0329] In some embodiments, the network device may perform matching based on the applicable scope of the AI ​​model or AI function to determine at least one available AI model or AI function.

[0330] In the case of adopting the first manner described above, the AI ​​model indicated by the first signaling is one of the at least one available AI models; or, the AI ​​function indicated by the first signaling is one of the at least one available AI function.

[0331] When the second method is adopted, the AI ​​model indicated by the first information field is one of the at least one available AI models; or, the AI ​​function indicated by the first information field is one of the at least one available AI function.

[0332] In the case of adopting the third manner, the method may further include:

[0333] S203 : The network device 102 sends second configuration information to the terminal 101 .

[0334] In some embodiments, the network device may send second configuration information related to the AI ​​operation to the terminal.

[0335] In some embodiments, the second configuration information includes a correspondence between a plurality of indication values ​​and AI operations;

[0336] In some embodiments, the plurality of indicator values ​​are obtained by encoding at least one of the second information and the third information in conjunction with at least one available AI model or AI function.

[0337] In some embodiments, the plurality of indicator values ​​may be determined by at least one of the following methods:

[0338] jointly encoding the second information and at least one available AI model;

[0339] jointly encoding the third information and at least one available AI model;

[0340] jointly encoding the second information, the third information, and at least one available AI model;

[0341] jointly encoding the second information and at least one available AI function;

[0342] jointly encoding the third information and at least one available AI function;

[0343] The second information, the third information, and at least one available AI function are jointly encoded.

[0344] In some embodiments, the at least one available AI model or AI function can be matched and determined based on the applicable scope of the AI ​​model or AI function, or determined based on the capabilities reported by the terminal.

[0345] In some embodiments, the signaling is used to indicate a first indication value among the multiple indication values.

[0346] S204. Terminal 101 performs corresponding operations.

[0347] In some embodiments, the terminal may perform corresponding operations based on the received signaling and the first configuration information; or, perform corresponding operations based on the received signaling and the second configuration information.

[0348] Optionally, the operation to be performed is determined based on the instruction method adopted in the above step S201.

[0349] First, when the first method in step S201 is adopted:

[0350] In some embodiments, the terminal performs corresponding operations based on the received first signaling and first configuration information.

[0351] In some embodiments, the received signaling is first signaling, and the terminal may perform at least one of the following operations:

[0352] Switching the currently used AI function to the AI ​​function indicated by the first signaling;

[0353] Switching the currently used AI model to the AI ​​model indicated by the first signaling;

[0354] Switching the non-AI operation to the AI ​​operation of the AI ​​function indicated by the first signaling;

[0355] The non-AI operation is switched to the AI ​​operation based on the AI ​​model indicated by the first signaling.

[0356] In some embodiments, the AI ​​model indicated by the first signaling is one of at least one available AI model; or the AI ​​function indicated by the first signaling is one of at least one available AI function. The at least one available AI model or the at least one available AI function is included in the first configuration information.

[0357] Exemplarily, in this embodiment, for an AI use case, the available AI functions configured on the network side include: AI function 1, AI function 2, and AI function 3. DCI can be used to indicate the AI ​​function to be activated. If the AI ​​function to be activated indicated by the DCI is AI function 3 and the currently used AI function is AI function 4, the terminal can perform an operation of switching from AI function 4 to AI function 3. At this time, AI function 4 is turned off (or AI function 4 is deactivated), and AI function 3 is activated. Alternatively, the terminal can perform a switch from a non-AI operation to an AI operation based on AI function 3.

[0358] For example, in this embodiment, for an AI use case, the available AI models configured on the network side include: AI model 1, AI model 2, and AI model 3. DCI signaling can be used to indicate the AI ​​model to be activated. If the AI ​​model to be activated indicated by the DCI is AI model 2 and the currently used AI model is AI model 4, the terminal switches from AI model 4 to AI model 2. At this time, AI model 4 is turned off (or AI model 4 is deactivated), and AI model 2 is activated. Alternatively, the terminal can switch from non-AI operation to AI operation based on AI model 2.

[0359] In some embodiments, the terminal performs corresponding operations based on the received second signaling.

[0360] In some embodiments, the received signaling is the second signaling, and the terminal may perform at least one of the following operations:

[0361] Falling back from the AI ​​operation mode to the non-AI operation mode based on an instruction of the second signaling;

[0362] Based on the instruction of the second signaling, the non-AI operation mode is switched to the AI ​​operation mode.

[0363] For example, in this embodiment, for an AI use case, such as AI-based beam management, a MAC CE may be used to indicate one of the following situations:

[0364] 1. Falling back from AI-based beam management to traditional beam management (non-AI-based beam management);

[0365] 2. Regarding the transition from traditional beam management to AI-based beam management.

[0366] The first case includes two methods: AI function rollback or AI model rollback.

[0367] Second, when the second method in step S201 is adopted:

[0368] In some embodiments, the terminal performs corresponding operations based on the first information field and the first configuration information in the signaling.

[0369] In some embodiments, the terminal may perform at least one of the following operations:

[0370] Switching the currently used AI function to the AI ​​function indicated by the first information field;

[0371] Switching the currently used AI model to the AI ​​model indicated by the first information field;

[0372] Switching the non-AI operation to the AI ​​operation based on the AI ​​function indicated by the first information field;

[0373] The non-AI operation is switched to the AI ​​operation based on the AI ​​model indicated by the first information field.

[0374] In some embodiments, the AI ​​model indicated by the first information field is one of at least one available AI model; or the AI ​​function indicated by the first information field is one of at least one available AI function. The at least one available AI model or the at least one available AI function is included in the first configuration information.

[0375] Exemplarily, in this embodiment, for an AI use case, such as AI-based beam management, the available AI functions configured on the network side include: AI function 1, AI function 2, and AI function 3, and the first information field (2 bits) in the first DCI is used to indicate the AI ​​function to be activated. For example, "00" indicates that the AI ​​function to be activated is AI function 1, "01" indicates that the AI ​​function to be activated is AI function 2, and "10" indicates that the AI ​​function to be activated is AI function 3. The currently used AI function is AI function 4. If the indication value in the DCI signaling is "10", the terminal can perform an operation of switching from AI function 4 to AI function 3. At this time, AI function 4 is turned off (or AI function 4 is deactivated), and AI function 3 is activated. Alternatively, the terminal can perform a switch from non-AI operation to AI operation based on AI function 3.

[0376] Exemplarily, in this embodiment, for an AI use case, such as AI-based beam management, the available AI models configured on the network side include: AI model 1, AI model 2, and AI model 3, and the first information field (2 bits) in the first DCI is used to indicate the AI ​​model to be activated. For example, "00" indicates that the AI ​​model to be activated is AI model 1, "01" indicates that the AI ​​model to be activated is AI model 2, and "10" indicates that the AI ​​model to be activated is AI model 3. The currently used AI model is AI model 4. If the indication value in the DCI signaling is "01", the terminal performs an operation of switching from AI model 4 to AI model 2. At this time, AI model 4 is turned off (or AI model 4 is deactivated), and AI model 2 is activated. Alternatively, the terminal can switch from non-AI operation to AI operation based on AI model 2.

[0377] In some embodiments, the terminal performs corresponding operations based on the second information field in the received signaling.

[0378] In some embodiments, the terminal may perform at least one of the following operations:

[0379] Falling back from the AI ​​operation mode to the non-AI operation mode based on an indication of the second information field;

[0380] Based on the indication of the second information field, the operation mode is switched from the non-AI operation mode to the AI ​​operation mode.

[0381] Exemplarily, in this embodiment, for an AI use case, such as AI-based beam management, the second information field (bit) in the first DCI is used to indicate one of the following situations:

[0382] 1. Falling back from AI-based beam management to traditional beam management (non-AI-based beam management);

[0383] 2. Regarding the transition from traditional beam management to AI-based beam management.

[0384] Case 1 includes two modes: AI function fallback or AI model fallback. For example, "0" indicates AI function fallback or AI model fallback, and "1" indicates the transition from traditional beam management to AI-based beam management. Alternatively, "1" indicates AI function fallback or AI model fallback, and "0" indicates the transition from traditional beam management to AI-based beam management.

[0385] Third, when the third method in step S201 is adopted:

[0386] In some embodiments, the terminal performs corresponding operations based on the received signaling and the second configuration information.

[0387] In some embodiments, the terminal may determine and execute the operation to be performed based on the correspondence between the first indication value indicated by the signaling and the multiple indication values ​​included in the second configuration information and the AI ​​operation.

[0388] In some embodiments, the operation of determining includes any of the following:

[0389] Switching the currently used AI function to the AI ​​function indicated by the first indication value;

[0390] Switching the currently used AI model to the AI ​​model indicated by the first indication value;

[0391] Switching the non-AI operation to the AI ​​operation of the AI ​​function indicated by the first indication value;

[0392] Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first indication value;

[0393] Fall back from AI operation mode to non-AI operation mode;

[0394] Switches from non-AI operating mode to AI operating mode.

[0395] For example, in this embodiment, for an AI use case, such as AI-based beam management, the available AI functions configured on the network side include: AI Function 1, AI Function 2, and AI Function 3. DCI signaling (2 bits) is used to jointly indicate the AI ​​function to be activated and the fallback. For example, "00" indicates that the AI ​​function to be activated is AI Function 1, "01" indicates that the AI ​​function to be activated is AI Function 2, "10" indicates that the AI ​​function to be activated is AI Function 3, and "11" indicates a fallback from AI-based beam management to traditional beam management (non-AI-based beam management). If the currently used AI function is AI Function 4, if the indication value in the DCI signaling is "10," the terminal can switch from AI Function 4 to AI Function 3. In this case, AI Function 4 is disabled (or deactivated), and AI Function 3 is activated. Alternatively, the terminal can switch from non-AI operation to AI operation based on AI Function 3. If the indication value in the DCI signaling is "11," the terminal falls back from AI-based beam management to traditional beam management (non-AI-based beam management).

[0396] In some embodiments, it may also include:

[0397] S205. The network device 102 performs corresponding operations.

[0398] In some embodiments, the network device may perform corresponding operations based on the sent signaling and the first configuration information; or perform corresponding operations based on the sent signaling and the second configuration information.

[0399] Optionally, the operation to be performed is determined based on the instruction method adopted in the above step S201.

[0400] First, when the first method in step S201 is adopted:

[0401] In some embodiments, the network device performs corresponding operations based on the first signaling and the first configuration information.

[0402] In some embodiments, the network device may perform at least one of the following operations:

[0403] Switching the currently used AI function to the AI ​​function indicated by the first signaling;

[0404] Switching the currently used AI model to the AI ​​model indicated by the first signaling;

[0405] Switching the non-AI operation to the AI ​​operation of the AI ​​function indicated by the first signaling;

[0406] The non-AI operation is switched to the AI ​​operation based on the AI ​​model indicated by the first signaling.

[0407] In some embodiments, the AI ​​model indicated by the first signaling is one of at least one available AI model; or the AI ​​function indicated by the first signaling is one of at least one available AI function. The at least one available AI model or the at least one available AI function is included in the first configuration information.

[0408] In some embodiments, the network device performs corresponding operations based on the second signaling.

[0409] In some embodiments, the network device may perform at least one of the following operations:

[0410] Falling back from the AI ​​operation mode to the non-AI operation mode based on an instruction of the second signaling;

[0411] Based on the instruction of the second signaling, the non-AI operation mode is switched to the AI ​​operation mode.

[0412] Second, when the second method in step S201 is adopted:

[0413] In some embodiments, the network device performs corresponding operations based on the first information field and the first configuration information in the signaling.

[0414] In some embodiments, the network device may perform at least one of the following operations:

[0415] Switching the currently used AI function to the AI ​​function indicated by the first information field;

[0416] Switching the currently used AI model to the AI ​​model indicated by the first information field;

[0417] Switching the non-AI operation to the AI ​​operation based on the AI ​​function indicated by the first information field;

[0418] The non-AI operation is switched to the AI ​​operation based on the AI ​​model indicated by the first information field.

[0419] In some embodiments, the AI ​​model indicated by the first information field is one of at least one available AI model; or the AI ​​function indicated by the first information field is one of at least one available AI function. The at least one available AI model or the at least one available AI function is included in the first configuration information.

[0420] In some embodiments, the network device performs corresponding operations based on the second information field in the signaling.

[0421] In some embodiments, the network device may perform at least one of the following operations:

[0422] Falling back from the AI ​​operation mode to the non-AI operation mode based on an indication of the second information field;

[0423] Based on the indication of the second information field, the operation mode is switched from the non-AI operation mode to the AI ​​operation mode.

[0424] Third, when the third method in step S201 is adopted:

[0425] In some embodiments, the network device performs corresponding operations based on the signaling and the second configuration information.

[0426] In some embodiments, the network device may determine and execute the operation to be performed based on the correspondence between the first indication value indicated by the signaling and the multiple indication values ​​included in the second configuration information and the AI ​​operation.

[0427] In some embodiments, the operation of determining includes any of the following:

[0428] Switching the currently used AI function to the AI ​​function indicated by the first indication value;

[0429] Switching the currently used AI model to the AI ​​model indicated by the first indication value;

[0430] Switching the non-AI operation to the AI ​​operation of the AI ​​function indicated by the first indication value;

[0431] Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first indication value;

[0432] Fall back from AI operation mode to non-AI operation mode;

[0433] Switches from non-AI operating mode to AI operating mode.

[0434] In some embodiments, terms such as "in the case of", "at the time of", "when", "if", and "if" can be used interchangeably.

[0435] In some embodiments, the terms "radio", "wireless", "radio access network (RAN)", "access network (AN)", "RAN-based" and the like may be used interchangeably.

[0436] In some embodiments, determining can be interpreted as judging, calculating, computing, processing, deriving, ascertaining, selecting, choosing, comparing, “assuming,” “expecting,” “considering,” broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, assigning, etc., but is not limited to.

[0437] The method involved in the embodiments of the present disclosure may include at least one of steps S201 to S205. For example, step S201 can be implemented as an independent embodiment, steps S201 and S204 can be implemented as independent embodiments, steps S201, S202, and S204 can be implemented as independent embodiments, steps S201, S203, and S204 can be implemented as independent embodiments, and steps S201 and S205 can be implemented as independent embodiments, but are not limited thereto.

[0438] In some embodiments, steps S201 and S202 may be performed in an interchangeable order or simultaneously.

[0439] In some embodiments, steps S201 and S203 may be performed in an interchangeable order or simultaneously.

[0440] In some embodiments, steps S204 and S205 may be performed in an interchangeable order or simultaneously.

[0441] In some embodiments, steps S202 and S203 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0442] In some embodiments, step S204 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0443] In some embodiments, step S205 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0444] FIG3a is a flow chart of an information indication method according to an embodiment of the present disclosure. As shown in FIG3a , the information indication method can be executed by the terminal 101, and the method includes:

[0445] S301: Obtain first signaling or second signaling.

[0446] The optional implementation of step S301 can refer to the first optional implementation of step S201 in FIG2 and other related parts in the embodiment involved in FIG2 , which will not be described in detail here.

[0447] In some embodiments, the terminal 101 receives the first signaling or the second signaling sent by the network device 102. The first signaling or the second signaling may also be received from other entities, or obtained from a protocol, and so on.

[0448] S302: Obtain first configuration information.

[0449] In some embodiments, the terminal 101 receives first configuration information sent by the network device 102 .

[0450] In some embodiments, the first configuration information includes at least one AI model or AI function available to the terminal.

[0451] In some embodiments, at least one available AI model or AI function is determined by the network side based on matching according to the applicable scope of the AI ​​model or AI function, or determined based on the capabilities reported by the terminal.

[0452] In some embodiments, "obtain", "get", "obtain", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from a protocol, obtaining by self-processing, autonomous implementation, etc.

[0453] The optional implementation of step S302 can refer to the optional implementation of step S202 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0454] S303: Perform a corresponding operation based on the obtained first signaling and the first configuration information, or perform a corresponding operation based on the obtained second signaling.

[0455] In some embodiments, the acquired signaling is the first signaling, and the corresponding operation is performed based on the indication of the first signaling and the first configuration information.

[0456] In some embodiments, the first signaling is used to indicate an AI model or AI function to be activated.

[0457] In some embodiments, the AI ​​model to be activated indicated by the first signaling is one of the at least one available AI model in the first configuration information.

[0458] In some embodiments, the AI ​​function to be activated indicated by the first signaling is one of the at least one available AI function in the first configuration information.

[0459] In some embodiments, the acquired signaling is second signaling, and a corresponding operation is performed based on an instruction of the second signaling.

[0460] The optional implementation of step S303 can refer to the optional implementation of step S204 in FIG2 and other related parts in the embodiment involved in FIG2 , which will not be described in detail here.

[0461] The method involved in the embodiment of the present disclosure may include at least one of steps S301 to S303. For example, step S301 may be implemented as an independent embodiment, and steps S301 and S303 may be implemented as independent embodiments, but are not limited thereto.

[0462] In some embodiments, step S302 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0463] FIG3b is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG3b , the communication method can be executed by the terminal 101, and the method includes:

[0464] S311: Acquire signaling, where the signaling includes a first information field and a second information field.

[0465] The optional implementation of step S311 can refer to the second optional implementation of step S201 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0466] In some embodiments, the terminal 101 receives signaling sent by the network device 102. The signaling may also be received from other entities, or obtained from a protocol, etc.

[0467] S312: Obtain first configuration information.

[0468] Optional implementations of step S312 may refer to step S202 in FIG. 2 , optional implementations of step S302 in FIG. 3 a , and other related parts in the embodiments involved in FIG. 2 or FIG. 3 a , which will not be described in detail here.

[0469] S313: Perform a corresponding operation based on the first information field and the first configuration information in the acquired signaling, or perform a corresponding operation based on the second information field in the acquired signaling.

[0470] In some embodiments, the acquired signaling includes a first information field, and a corresponding operation is performed based on an indication of the first information field and the first configuration information.

[0471] In some embodiments, the first information field is used to indicate the AI ​​model or AI function to be activated.

[0472] In some embodiments, the AI ​​model to be activated indicated by the first information field is one of the at least one available AI model in the first configuration information.

[0473] In some embodiments, the AI ​​function to be activated indicated by the first information field is one of the at least one available AI function in the first configuration information.

[0474] In some embodiments, the acquired signaling includes a second information field, and a corresponding operation is performed based on an indication of the second information field.

[0475] The optional implementation of step S313 can refer to the optional implementation of step S204 in FIG2 and other related parts in the embodiment involved in FIG2 , which will not be described in detail here.

[0476] The method involved in the embodiment of the present disclosure may include at least one of steps S311 to S313. For example, step S311 may be implemented as an independent embodiment, and steps S311 and S313 may be implemented as independent embodiments, but are not limited thereto.

[0477] In some embodiments, step S312 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0478] FIG3c is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG3c, the communication method can be executed by the terminal 101, and the method includes:

[0479] S321. Acquire signaling, where the signaling is used to jointly indicate at least two items of the first information, the second information, and the third information.

[0480] In some embodiments, the terminal 101 receives signaling sent by the network device 102. The signaling may also be received from other entities, or obtained from a protocol, etc.

[0481] In some embodiments, the signaling sent by the network device 102 is received, but this is not limited to this, and the signaling sent by other entities can also be received.

[0482] In some embodiments, the first information includes at least one of information related to switching of an AI function and information related to switching of an AI model.

[0483] In some embodiments, the second information includes at least one of: AI function fallback and AI model fallback.

[0484] In some embodiments, the third information includes at least one of the following:

[0485] Switch from non-AI operation mode to AI operation mode;

[0486] Switch from non-AI operation mode to AI operation mode AI function;

[0487] Switches the AI ​​model from non-AI operation mode to AI operation mode.

[0488] The optional implementation of step S311 can refer to the third implementation of step S201 in FIG2 and other related parts in the embodiment involved in FIG2 , which will not be described in detail here.

[0489] S322: Obtain second configuration information.

[0490] In some embodiments, the terminal 101 receives second configuration information sent by the network device 102 .

[0491] In some embodiments, the second configuration information includes a correspondence between a plurality of indication values ​​and AI operations.

[0492] In some embodiments, the plurality of indicator values ​​are obtained by encoding at least one of the second information and the third information in conjunction with at least one available AI model or AI function.

[0493] In some embodiments, the at least one available AI model or AI function can be matched and determined based on the applicable scope of the AI ​​model or AI function, or determined based on the capabilities reported by the terminal.

[0494] In some embodiments, "obtain", "get", "obtain", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from a protocol, obtaining by self-processing, autonomous implementation, etc.

[0495] The optional implementation of step S322 can refer to the optional implementation of step S203 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0496] S323: Perform corresponding operations based on the acquired signaling and the second configuration information.

[0497] The optional implementation of step S323 can refer to the optional implementation of step S204 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0498] The method involved in the embodiment of the present disclosure may include at least one of steps S321 to S323. For example, step S321 may be implemented as an independent embodiment, and steps S321 and S323 may be implemented as independent embodiments, but are not limited thereto.

[0499] In some embodiments, step S322 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0500] FIG3 d is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG3 d , the communication method can be executed by the terminal 101, and the method includes:

[0501] S331. Obtain signaling.

[0502] In some embodiments, the signaling includes first signaling and second signaling, wherein the first signaling is used to indicate the switching of at least one of the AI ​​model and the AI ​​function in the AI ​​operation mode, and the second signaling is used to indicate the fallback of the AI ​​operation or the switching from non-AI operation to AI operation.

[0503] In some embodiments, the signaling includes a first information field and a second information field, wherein the first information field is used to indicate the switching of the AI ​​model or AI function in the AI ​​operation mode, and the second information field is used to indicate the fallback of the AI ​​operation or the switching from non-AI operation to AI operation.

[0504] In some embodiments, signaling is used for joint indication of switching of AI models or AI functions in AI operation mode, fallback of AI operation, and switching from non-AI operation to AI operation.

[0505] For optional implementations of step S331, please refer to the optional implementations of step S201 in Figure 2, step S301 in Figure 3a, step S311 in Figure 3b, step S321 in Figure 3c, and other related parts in the embodiments involved in Figures 2 and 3a-3c, which will not be repeated here.

[0506] S332: Execute corresponding operations based on the acquired signaling.

[0507] The optional implementation of step S332 can refer to the optional implementation of step S204 in Figure 2, step S303 in Figure 3a, step S313 in Figure 3b, step S323 in Figure 3c, and other related parts in the embodiments involved in Figure 2 and Figures 3a-3c, which will not be repeated here.

[0508] FIG3e is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG3ee, the communication method can be executed by the terminal 101, and the method includes:

[0509] S341. Obtain signaling.

[0510] For optional implementations of step S341, please refer to the optional implementations of step S201 in Figure 2, step S301 in Figure 3a, step S311 in Figure 3b, step S321 in Figure 3c, step S331 in Figure 3d, and other related parts in the embodiments involved in Figures 2 and 3a-3d, which will not be repeated here.

[0511] In some embodiments, the acquired signaling is used to indicate at least one of the following:

[0512] First information related to switching of AI operation in artificial intelligence (AI) operation mode;

[0513] Second information related to rollback of AI operation in AI operation mode;

[0514] Third information related to switching from the non-AI operating mode to the AI ​​operating mode.

[0515] In some embodiments, the acquired signaling may include first signaling and second signaling.

[0516] In some embodiments, the first signaling is used to indicate at least one of the following:

[0517] Information related to switching of AI functions;

[0518] Information related to switching of AI models;

[0519] Switch from non-AI operation mode to AI operation mode AI function;

[0520] Switching from non-AI operating mode to AI model in AI operating mode;

[0521] In some embodiments, the second signaling is used to indicate at least one of the following:

[0522] AI function regression;

[0523] AI model rollback;

[0524] Switches from non-AI operating mode to AI operating mode.

[0525] In some embodiments, the first signaling is used to indicate an AI function or AI model to be activated.

[0526] In some embodiments, the acquired signaling may include a first information field and a second information field.

[0527] In some embodiments, the first information field in the signaling is used to indicate at least one of the following:

[0528] Information related to switching of AI functions;

[0529] Information related to switching of AI models;

[0530] Switch from non-AI operation mode to AI operation mode AI function;

[0531] Switching from non-AI operating mode to AI model in AI operating mode;

[0532] In some embodiments, the second information field in the signaling indicates at least one of the following:

[0533] AI function regression;

[0534] AI model rollback;

[0535] Switches from non-AI operating mode to AI operating mode.

[0536] In some embodiments, the first information field is used to indicate the AI ​​function or AI model to be activated.

[0537] In some embodiments, the acquired signaling is used to jointly indicate at least two of the first information, the second information, and the third information.

[0538] In some embodiments, the first information includes at least one of information related to switching of an AI function and information related to switching of an AI model.

[0539] In some embodiments, the second information includes at least one of: AI function fallback and AI model fallback.

[0540] In some embodiments, the third information includes at least one of the following:

[0541] Switch from non-AI operation mode to AI operation mode;

[0542] Switch from non-AI operation mode to AI operation mode AI function;

[0543] Switches the AI ​​model from non-AI operation mode to AI operation mode.

[0544] The optional implementation methods of the above optional embodiments can refer to the optional implementation methods of step S201 in Figure 2, step S301 in Figure 3a, step S311 in Figure 3b, step S321 in Figure 3c, step S331 in Figure 3d, and other related parts in the embodiments involved in Figure 2 and Figures 3a-3d, which will not be repeated here.

[0545] In some embodiments, the method further includes: obtaining first configuration information related to the AI ​​operation, the first configuration information including at least one of at least one available AI model and at least one available AI function;

[0546] The AI ​​model indicated by the first signaling is one of the at least one available AI model; or,

[0547] The AI ​​function indicated by the first signaling is one of the at least one available AI function.

[0548] In some embodiments, the method further includes: obtaining first configuration information related to the AI ​​operation, the first configuration information including at least one of at least one available AI model and at least one available AI function;

[0549] The AI ​​model indicated by the first information field is one of the at least one available AI model; or,

[0550] The AI ​​function indicated by the first information field is one of the at least one available AI function.

[0551] For optional implementations of the optional embodiments, reference may be made to the optional implementations of step S202 in FIG. 2 , step S302 in FIG. 3 a , step S312 in FIG. 3 b , and other related parts in the embodiments involved in FIG. 2 and FIG. 3 a - 3 b , which will not be described in detail here.

[0552] In some embodiments, the method further includes: acquiring second configuration information related to the AI ​​operation, where the second configuration information includes a correspondence between multiple indicator values ​​and the AI ​​operation.

[0553] In some embodiments, the plurality of indicator values ​​are determined by at least one of the following methods:

[0554] The second information and at least one available AI model are jointly encoded;

[0555] The third information is jointly encoded with at least one available AI model;

[0556] The second information, the third information, and at least one available AI model are jointly encoded;

[0557] The second information and the available at least one AI function are jointly encoded;

[0558] The third information and the available at least one AI function are jointly encoded;

[0559] The second information, the third information, and at least one available AI function are jointly encoded.

[0560] For optional implementations of the optional embodiments, reference may be made to step S203 of FIG. 2 , the optional implementations of step S322 of FIG. 3 c , and other related parts of the embodiments involved in FIG. 2 and FIG. 3 c , which will not be described in detail here.

[0561] In some embodiments, the method further includes: performing corresponding operations based on the acquired signaling.

[0562] In some embodiments, the corresponding operation may include at least one of the following:

[0563] Switching the currently used AI function to the AI ​​function indicated by the first signaling;

[0564] Switch the currently used AI model to the AI ​​model indicated by the first signaling;

[0565] Switching the non-AI operation to the AI ​​operation of the AI ​​function indicated by the first signaling;

[0566] Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first signaling;

[0567] Falling back from the AI ​​operation mode to the non-AI operation mode based on an instruction of the second signaling;

[0568] Based on the instruction of the second signaling, the non-AI operation mode is switched to the AI ​​operation mode.

[0569] In some embodiments, the corresponding operation may include at least one of the following:

[0570] Switch the currently used AI function to the AI ​​function indicated by the first information field;

[0571] Switch the currently used AI model to the AI ​​model indicated by the first information field;

[0572] Switching the non-AI operation to the AI ​​operation based on the AI ​​function indicated by the first information field;

[0573] Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first information field;

[0574] Falling back from the AI ​​operation mode to the non-AI operation mode based on the indication of the second information field;

[0575] Based on the indication of the second information field, the operation mode is switched from the non-AI operation mode to the AI ​​operation mode.

[0576] In some embodiments, the operation to be performed is determined and performed based on the first indication value and the corresponding relationship.

[0577] Optionally, the operation to be performed includes any of the following:

[0578] Switching the currently used AI function to the AI ​​function indicated by the first indication value;

[0579] Switching the currently used AI model to the AI ​​model indicated by the first indication value;

[0580] Switching the non-AI operation to the AI ​​operation of the AI ​​function indicated by the first indication value;

[0581] Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first indication value;

[0582] Fall back from AI operation mode to non-AI operation mode;

[0583] Switches from non-AI operating mode to AI operating mode.

[0584] For optional implementation methods of the optional embodiment, please refer to the optional implementation methods of step S204 in Figure 2, step S303 in Figure 3a, step S313 in Figure 3b, step S323 in Figure 3c, step S332 in Figure 3d, and other related parts in the embodiments involved in Figure 2 and Figures 3a-3d, which will not be repeated here.

[0585] FIG4a is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4a , the method according to the embodiment of the present disclosure is executed by the network device 102, and the method includes:

[0586] S401: Send a first signaling or a second signaling.

[0587] The optional implementation of step S401 can refer to the first optional implementation of step S201 in FIG2 and other related parts in the embodiment involved in FIG2 , which will not be described in detail here.

[0588] In some embodiments, the first signaling or the second signaling is sent to the terminal 101, but is not limited thereto. The first signaling or the second signaling may also be sent to other entities.

[0589] S402: Send first configuration information.

[0590] In some embodiments, the network side sends the first configuration information to the terminal 101, but is not limited thereto, and the first configuration information may also be sent to other entities.

[0591] In some embodiments, the first configuration information is used to configure at least one AI model or AI function available to the terminal.

[0592] In some embodiments, the network side matches according to the applicable scope of the AI ​​model or AI function, or determines at least one available AI model or AI function based on the capabilities reported by the terminal.

[0593] The optional implementation of step S402 can refer to the optional implementation of step S202 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0594] S403: Perform a corresponding operation based on the first signaling and the first configuration information, or perform a corresponding operation based on the second signaling.

[0595] In some embodiments, the signaling sent is the first signaling, and the corresponding operation is performed based on the indication of the first signaling and the first configuration information.

[0596] In some embodiments, the first signaling is used to indicate an AI model or AI function to be activated.

[0597] In some embodiments, the AI ​​model to be activated indicated by the first signaling is one of the at least one available AI model in the first configuration information.

[0598] In some embodiments, the AI ​​function to be activated indicated by the first signaling is one of the at least one available AI function in the first configuration information.

[0599] In some embodiments, the signaling sent is a second signaling, and a corresponding operation is performed based on an instruction of the second signaling.

[0600] The optional implementation of step S403 can refer to the optional implementation of step S205 in FIG2 and other related parts in the embodiment involved in FIG2 , which will not be described in detail here.

[0601] The method involved in the embodiment of the present disclosure may include at least one of steps S401 to S403. For example, step S401 may be implemented as an independent embodiment, and steps S401 and S403 may be implemented as independent embodiments, but are not limited thereto.

[0602] In some embodiments, step S402 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0603] FIG4 b is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4 b , the method according to the embodiment of the present disclosure is executed by the network device 102, and the method includes:

[0604] S411: Send signaling, where the signaling includes a first information field and a second information field.

[0605] The optional implementation of step S411 can refer to the second optional implementation of step S201 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0606] In some embodiments, the network device 102 may send signaling to the terminal 101, but is not limited thereto and may also send signaling to other entities.

[0607] S412: Send first configuration information.

[0608] Optional implementations of step S412 may refer to step S202 in FIG. 2 , optional implementations of step S402 in FIG. 4 a , and other related parts in the embodiments involved in FIG. 2 or FIG. 4 a , which will not be described in detail here.

[0609] S413: Perform a corresponding operation based on the first information field and the first configuration information, or perform a corresponding operation based on the second information field.

[0610] In some embodiments, the sent signaling includes a first information field, and a corresponding operation is performed based on an indication of the first information field and the first configuration information.

[0611] In some embodiments, the first information field is used to indicate the AI ​​model or AI function to be activated.

[0612] In some embodiments, the AI ​​model to be activated indicated by the first information field is one of the at least one available AI model in the first configuration information.

[0613] In some embodiments, the AI ​​function to be activated indicated by the first information field is one of the at least one available AI function in the first configuration information.

[0614] In some embodiments, the sent signaling includes a second information field, and a corresponding operation is performed based on an indication of the second information field.

[0615] The optional implementation of step S413 can refer to the optional implementation of step S205 in FIG2 and other related parts in the embodiment involved in FIG2 , which will not be described in detail here.

[0616] The method involved in the embodiment of the present disclosure may include at least one of steps S411 to S413. For example, step S411 may be implemented as an independent embodiment, and steps S411 and S413 may be implemented as independent embodiments, but are not limited thereto.

[0617] In some embodiments, step S412 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0618] FIG4c is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4c, the method according to the embodiment of the present disclosure is executed by the network device 102, and the method includes:

[0619] S421. Send signaling, where the signaling is used to jointly indicate at least two items of the first information, the second information, and the third information.

[0620] In some embodiments, signaling is sent to terminal 101, but is not limited thereto, and signaling may also be sent to other entities.

[0621] In some embodiments, the first information includes at least one of information related to switching of an AI function and information related to switching of an AI model.

[0622] In some embodiments, the second information includes at least one of: AI function fallback and AI model fallback.

[0623] In some embodiments, the third information includes at least one of the following:

[0624] Switch from non-AI operation mode to AI operation mode;

[0625] Switch from non-AI operation mode to AI operation mode AI function;

[0626] Switches the AI ​​model from non-AI operation mode to AI operation mode.

[0627] The optional implementation of step S421 can refer to the third implementation of step S201 in FIG2 and other related parts in the embodiment involved in FIG2 , which will not be described in detail here.

[0628] S422: Send second configuration information.

[0629] In some embodiments, the second configuration information is sent to the terminal 101, but is not limited thereto, and the second configuration information may also be sent to other entities.

[0630] In some embodiments, the second configuration information is used to configure a correspondence between a plurality of indication values ​​and AI operations.

[0631] In some embodiments, multiple indication values ​​are obtained by encoding based on at least one of the second information and the third information and at least one available AI model or AI function.

[0632] In some embodiments, the network side matches according to the applicable scope of the AI ​​model or AI function, or determines at least one available AI model or AI function based on the capabilities reported by the terminal.

[0633] The optional implementation of step S422 can refer to the optional implementation of step S203 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0634] S423: Perform corresponding operations based on the instruction of the signaling and the second configuration information.

[0635] The optional implementation of step S423 can refer to the optional implementation of step S205 in FIG2 and other related parts in the embodiment involved in FIG2 , which will not be described in detail here.

[0636] The method involved in the embodiment of the present disclosure may include at least one of steps S421 to S423. For example, step S421 may be implemented as an independent embodiment, and steps S421 and S423 may be implemented as independent embodiments, but are not limited thereto.

[0637] In some embodiments, step S422 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0638] In some embodiments, step S423 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0639] FIG4 d is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4 d , the method according to the embodiment of the present disclosure is executed by the network device 102, and the method includes:

[0640] S431. Send signaling.

[0641] In some embodiments, the signaling includes first signaling and second signaling, wherein the first signaling is used to indicate the switching of the AI ​​model or AI function in the AI ​​operation mode, and the second signaling is used to indicate the fallback of the AI ​​operation or the switching from non-AI operation to AI operation.

[0642] In some embodiments, the signaling includes a first information field and a second information field, wherein the first information field is used to indicate the switching of the AI ​​model or AI function in the AI ​​operation mode, and the second information field is used to indicate the fallback of the AI ​​operation or the switching from non-AI operation to AI operation.

[0643] In some embodiments, signaling is used for joint indication of switching of AI models or AI functions in AI operation mode, fallback of AI operation, and switching from non-AI operation to AI operation.

[0644] The optional implementation of step S431 can refer to the optional implementation of step S201 in Figure 2, step S401 in Figure 4a, step S411 in Figure 4b, step S421 in Figure 4c, and other related parts in the embodiments involved in Figure 2 and Figures 4a-4c, which will not be repeated here.

[0645] S432: Execute corresponding operations based on the sent signaling.

[0646] The optional implementation of step S432 can refer to the optional implementation of step S205 in Figure 2, step S403 in Figure 4a, step S413 in Figure 4b, step S423 in Figure 4c, and other related parts in the embodiments involved in Figure 2 and Figures 4a-4c, which will not be repeated here.

[0647] FIG4e is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4e , the communication method can be executed by the terminal network device 102, and the method includes:

[0648] S441. Send signaling.

[0649] For optional implementations of step S441, reference may be made to step S201 in FIG. 2 , step S401 in FIG. 4a , step S411 in FIG. 4b , step S421 in FIG. 4c , and the optional implementations of step S431 in FIG. 4d , as well as other related parts in the embodiments involved in FIG. 2 and FIG. 4a - 4c , which will not be repeated here.

[0650] In some embodiments, the signaling sent is used to indicate at least one of the following:

[0651] First information related to switching of AI operation in artificial intelligence (AI) operation mode;

[0652] Second information related to the rollback of AI operation in the I operation mode;

[0653] Third information related to switching from the non-AI operating mode to the AI ​​operating mode.

[0654] In some embodiments, the transmitted signaling may include first signaling and second signaling.

[0655] In some embodiments, the first signaling is used to indicate at least one of the following:

[0656] Information related to switching of AI functions;

[0657] Information related to switching of AI models;

[0658] Switch from non-AI operation mode to AI operation mode AI function;

[0659] Switching from non-AI operating mode to AI model in AI operating mode;

[0660] In some embodiments, the second signaling is used to indicate at least one of the following:

[0661] AI function regression;

[0662] AI model rollback;

[0663] Switches from non-AI operating mode to AI operating mode.

[0664] In some embodiments, the first signaling is used to indicate an AI function or AI model to be activated.

[0665] In some embodiments, the sent signaling may include a first information field and a second information field.

[0666] In some embodiments, the first information field in the signaling is used to indicate at least one of the following:

[0667] Information related to switching of AI functions;

[0668] Information related to switching of AI models;

[0669] Switch from non-AI operation mode to AI operation mode AI function;

[0670] Switching from non-AI operating mode to AI model in AI operating mode;

[0671] In some embodiments, the second information field in the signaling indicates at least one of the following:

[0672] AI function regression;

[0673] AI model rollback;

[0674] Switches from non-AI operating mode to AI operating mode.

[0675] In some embodiments, the first information field is used to indicate the AI ​​function or AI model to be activated.

[0676] In some embodiments, the signaling sent is used to jointly indicate at least two of the first information, the second information, and the third information.

[0677] In some embodiments, the first information includes at least one of information related to switching of an AI function and information related to switching of an AI model.

[0678] In some embodiments, the second information includes at least one of: AI function fallback and AI model fallback.

[0679] In some embodiments, the third information includes at least one of the following:

[0680] Switch from non-AI operation mode to AI operation mode;

[0681] Switch from non-AI operation mode to AI operation mode AI function;

[0682] Switches the AI ​​model from non-AI operation mode to AI operation mode.

[0683] The optional implementation methods of the above optional embodiments can refer to the optional implementation methods of step S201 in Figure 2, step S401 in Figure 4a, step S411 in Figure 4b, step S421 in Figure 4c, step S431 in Figure 4d, and other related parts in the embodiments involved in Figure 2 and Figures 4a-4c, which will not be repeated here.

[0684] In some embodiments, the method further includes: sending first configuration information related to the AI ​​operation, the first configuration information including at least one of at least one available AI model and at least one available AI function;

[0685] The AI ​​model indicated by the first signaling is one of the at least one available AI model; or,

[0686] The AI ​​function indicated by the first signaling is one of the at least one available AI function.

[0687] In some embodiments, the method further includes: sending first configuration information related to the AI ​​operation, the first configuration information including at least one of at least one available AI model and at least one available AI function;

[0688] The AI ​​model indicated by the first information field is one of the at least one available AI model; or,

[0689] The AI ​​function indicated by the first information field is one of the at least one available AI function.

[0690] Optional implementations of the optional embodiments can refer to the optional implementations of step S202 in FIG. 2 , step S402 in FIG. 4 a , step S412 in FIG. 4 b , and other related parts in the embodiments involved in FIG. 2 and FIG. 4 a - 4 b , which will not be repeated here.

[0691] In some embodiments, the method further includes: sending second configuration information related to the AI ​​operation, where the second configuration information includes a correspondence between multiple indicator values ​​and the AI ​​operation.

[0692] In some embodiments, the plurality of indicator values ​​are determined by at least one of the following methods:

[0693] The second information and at least one available AI model are jointly encoded;

[0694] The third information is jointly encoded with at least one available AI model;

[0695] The second information, the third information, and at least one available AI model are jointly encoded;

[0696] The second information and the available at least one AI function are jointly encoded;

[0697] The third information and the available at least one AI function are jointly encoded;

[0698] The second information, the third information, and at least one available AI function are jointly encoded.

[0699] For optional implementations of the optional embodiments, reference may be made to step S203 of FIG. 2 , the optional implementations of step S422 of FIG. 4 c , and other related parts of the embodiments involved in FIG. 2 and FIG. 4 c , which will not be described in detail here.

[0700] In some embodiments, it also includes: performing corresponding operations based on the sent signaling.

[0701] In some embodiments, the corresponding operation may include at least one of the following:

[0702] Switching the currently used AI function to the AI ​​function indicated by the first signaling;

[0703] Switch the currently used AI model to the AI ​​model indicated by the first signaling;

[0704] Switching the non-AI operation to the AI ​​operation of the AI ​​function indicated by the first signaling;

[0705] Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first signaling;

[0706] Falling back from the AI ​​operation mode to the non-AI operation mode based on an instruction of the second signaling;

[0707] Based on the instruction of the second signaling, the non-AI operation mode is switched to the AI ​​operation mode.

[0708] In some embodiments, the corresponding operation may include at least one of the following:

[0709] Switch the currently used AI function to the AI ​​function indicated by the first information field;

[0710] Switch the currently used AI model to the AI ​​model indicated by the first information field;

[0711] Switching the non-AI operation to the AI ​​operation based on the AI ​​function indicated by the first information field;

[0712] Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first information field;

[0713] Falling back from the AI ​​operation mode to the non-AI operation mode based on the indication of the second information field;

[0714] Based on the indication of the second information field, the operation mode is switched from the non-AI operation mode to the AI ​​operation mode.

[0715] In some embodiments, the method further includes: determining and executing an operation to be performed based on the first indication value and the corresponding relationship.

[0716] Optionally, the operation to be performed includes any of the following:

[0717] Switching the currently used AI function to the AI ​​function indicated by the first indication value;

[0718] Switching the currently used AI model to the AI ​​model indicated by the first indication value;

[0719] Switching the non-AI operation to the AI ​​operation of the AI ​​function indicated by the first indication value;

[0720] Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first indication value;

[0721] Fall back from AI operation mode to non-AI operation mode;

[0722] Switches from non-AI operating mode to AI operating mode.

[0723] For optional implementation methods of the optional embodiment, please refer to the optional implementation methods of step S205 in Figure 2, step S403 in Figure 4a, step S413 in Figure 4b, step S423 in Figure 4c, step S432 in Figure 4d, and other related parts in the embodiments involved in Figure 2 and Figures 4a-4c, which will not be repeated here.

[0724] FIG5 is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG5 , the method according to the embodiment of the present disclosure is used in a communication system 100, and the method includes:

[0725] S501: The network device sends a signaling to the terminal.

[0726] For optional implementations of step S501, reference may be made to step S201 of Figure 2, step S301 of Figure 3a, step S311 of Figure 3b, step S321 of Figure 3c, step S331 of Figure 3d, step S341 of Figure 3e, step S401 of Figure 4a, step S411 of Figure 4b, step S421 of Figure 4c, step S431 of Figure 4d, and step S441 of Figure 4e, as well as other related parts in the embodiments involved in Figure 2, Figures 3a to 3e, and Figures 4a to 4e, which will not be repeated here.

[0727] S502: The terminal performs corresponding operations based on the acquired signaling.

[0728] The optional implementation methods of step S502 can refer to the optional implementation methods of step S204 in Figure 2, step S303 in Figure 3a, step S313 in Figure 3b, step S323 in Figure 3c, and step S332 in Figure 3d, as well as other related parts in the embodiments involved in Figures 2 and 3a to 3d, which will not be repeated here.

[0729] In some embodiments, the above method may include the method described in the above embodiments of the communication system side, terminal side, network equipment side, core network equipment side, etc., which will not be repeated here.

[0730] The present disclosure also provides an optional implementation scheme, in which the network side can independently indicate the switching of AI models or AI functions (AI model / AI functionality), as well as the fallback of AI models or AI functions.

[0731] In some embodiments, the indication for switching of an AI model or an AI function may be understood as an indication for a target AI model or a target AI function to be activated, that is, an indication for a target AI model or a target AI function to be activated.

[0732] In some embodiments, the rollback of an AI model or AI function refers to a rollback from an AI-based processing method to a traditional processing method (a non-AI-based processing method).

[0733] In one implementation, the switching of the AI ​​model or the AI ​​function is indicated by a first signaling, and the fallback of the AI ​​model or the AI ​​function is indicated by a second signaling.

[0734] In some embodiments, the first signaling is used to indicate the confirmed activated AI model or AI function.

[0735] In some embodiments, for switching of an AI model or AI function, the network side may configure a set of available AI models or AI functions (which may correspond to the first configuration information above). The set includes at least one AI model or AI function. Optionally, the first signaling indicates that the confirmed activated AI model or AI function is an AI model or AI function in the set.

[0736] In some embodiments, the network side may use second signaling to indicate the rollback of the AI ​​model or AI function.

[0737] In some embodiments, when the network instructs the terminal to enter an AI operation state from a non-AI operation state, a first signaling indication may be used. The network and the terminal may perform AI operations based on the target AI model or AI function indicated by the first signaling. Optionally, the target AI model or AI function indicated by the first signaling may be an AI model or AI function from the above set.

[0738] For example, for AI-based beam management, the network side configures AI function #1, AI function #2, and AI function #3. DCI can be used to indicate the target AI function to be activated, for example, the target AI function is AI function #2. When falling back from AI-based beam management to traditional beam management, a MAC CE can be used for indication. For example, a 1-bit indication value is carried in an information field / domain in the MAC CE. An indication value of "1" is used to indicate fallback from AI-based beam management to traditional beam management, or an indication value of "0" is used to indicate fallback from AI-based beam management to traditional beam management.

[0739] In another solution, the switching of the AI ​​model or AI function is indicated using the first information field of the first signaling, and the fallback of the AI ​​model or AI function is indicated using the second information field of the first signaling.

[0740] In some embodiments, the first information domain / information field of the first signaling is used to indicate the confirmed activated AI model or AI function.

[0741] In some embodiments, for switching of AI models or AI functions, the network side may configure a set of available AI models or AI functions. The set includes at least one AI model or AI function. Optionally, the first information field / information field of the first signaling indicates that the confirmed activated AI model or AI function is an AI model or AI function in the set.

[0742] In some embodiments, the network uses the second information field of the first signaling to indicate the fallback.

[0743] In some embodiments, when the network instructs the terminal to enter the AI ​​operation state from the non-AI operation state, the first information field of the first signaling is used to indicate that the AI ​​operation is performed based on the target AI model or AI function indicated by the first information field of the first signaling.

[0744] For example, for AI-based beam management, the network side configures AI function #1, AI function #2, and AI function #3. The first information field (2 bits) in the first DCI can be used to indicate the activated target AI function, for example: "00" indicates AI function #1, "01" indicates AI function #2, and "10" indicates AI function #3. Assuming that the indication value of the first information field in the DCI is "01", the target AI function to be activated is AI function #2. When falling back from AI-based beam management to traditional beam management, the second information field (1 bit) in the first DCI is used for indication.

[0745] In other embodiments, the network side may use one signaling to jointly indicate the switching of the AI ​​model or AI function and the fallback of the AI ​​model or AI function.

[0746] In some embodiments, a set of AI models or AI functions available on the terminal side and a joint encoding of the fallback state are indicated.

[0747] For example: For AI-based beam management, the network side configures AI function #1, AI function #2, and AI function #3. On this basis, the 2-bit joint encoding can be performed with the fallback indication as shown in the following table.

[0748] It should be understood that the examples in the above embodiments are merely examples and do not constitute a limitation on the solutions of the embodiments of the present disclosure.

[0749] FIG6 a is a schematic diagram of the structure of a terminal proposed in an embodiment of the present disclosure. As shown in FIG6 a , the terminal may include at least one of: a first transceiver module 611 , a first processing module 612 , and the like.

[0750] In some embodiments, the first transceiver module 611 is configured to obtain signaling, where the signaling is configured to indicate at least one of the following:

[0751] First information related to switching of AI operation in artificial intelligence (AI) operation mode;

[0752] Second information related to rollback of AI operation in AI operation mode;

[0753] Third information related to switching from the non-AI operating mode to the AI ​​operating mode.

[0754] Optionally, the first transceiver module 611 is used to execute steps related to signaling performed by the terminal 101 in any of the above methods, for example, at least one of steps S201, S202, and S203 shown in FIG2 , which will not be repeated here.

[0755] Optionally, the first processing module 612 is configured to execute steps related to performing corresponding operations based on signaling, which are executed by the terminal 101 in any of the above methods, for example, step S204 shown in FIG. 2 , which will not be described in detail here.

[0756] FIG6 b is a schematic diagram of the structure of a network device according to an embodiment of the present disclosure. As shown in FIG6 b , the network device includes at least one of a second transceiver module 621 and a second processing module 622 .

[0757] In some embodiments, the second transceiver module 621 is configured to send signaling, where the signaling is configured to indicate at least one of the following:

[0758] First information related to switching of AI operation in artificial intelligence (AI) operation mode;

[0759] Second information related to rollback of AI operation in AI operation mode;

[0760] Third information related to switching from the non-AI operating mode to the AI ​​operating mode.

[0761] Optionally, the second transceiver module 621 is used to execute steps related to sending and receiving signaling performed by the network device 102 in any of the above methods, for example, at least one of steps S201, S202, and S203 shown in Figure 2, which will not be repeated here.

[0762] Optionally, the second processing module 622 is configured to execute steps related to performing corresponding operations based on signaling performed by the network device 102 in any of the above methods, such as step S205 shown in FIG. 2 , which will not be described in detail here.

[0763] 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.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.

[0764] 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.

[0765] 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, baseband chip, terminal device, terminal device chip, DU or 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.

[0766] In some embodiments, the communication device 7100 further includes one or more transceivers 7102. When the communication device 7100 includes one or more transceivers 7102, the transceiver 7102 performs at least one of the communication steps such as sending and / or receiving in the above method (for example, at least one of steps S201, S202, and S203 shown in Figure 2, but not limited thereto), and the processor 7101 performs at least one of the other steps (for example, step S204 shown in Figure 2, but not limited thereto). In an optional embodiment, the transceiver may include a receiver and / or a transmitter, and the receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, and interface may be interchangeable, the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be interchangeable, and the terms receiver, receiving unit, receiver, and receiving circuit may be interchangeable.

[0767] 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.

[0768] 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.

[0769] 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.

[0770] 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.

[0771] 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 embodiment of 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 and 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.

[0772] FIG7 b is a schematic diagram of the structure of a chip 7200 according to an embodiment of the present disclosure. If the communication device 7100 can be a chip or a chip system, reference can be made to the schematic diagram of the structure of the chip 7200 shown in FIG7 b , but the present disclosure is not limited thereto.

[0773] The chip 7200 includes one or more processors 7201. The chip 7200 is configured to execute any of the above methods.

[0774] In some embodiments, chip 7200 further includes one or more interface circuits 7202. Alternatively, terms such as interface circuit, interface, and transceiver pins may be used interchangeably. In some embodiments, chip 7200 further includes one or more memories 7203 for storing data. Alternatively, all or part of memory 7203 may be located external to chip 7200. Optionally, interface circuit 7202 is connected to memory 7203 and may be used to receive data from memory 7203 or other devices, or may be used to send data to memory 7203 or other devices. For example, interface circuit 7202 may read data stored in memory 7203 and send the data to processor 7201.

[0775] In some embodiments, the interface circuit 7202 performs at least one of the communication steps, such as sending and / or receiving, in the above-described method (e.g., at least one of steps S201, S202, and S203 shown in FIG. 2 , but not limited thereto). The interface circuit 7202 performing the communication steps, such as sending and / or receiving, in the above-described method, for example, means that the interface circuit 7202 performs data exchange between the processor 7201, the chip 7200, the memory 7203, or the transceiver device. In some embodiments, the processor 7201 performs at least one of the other steps (e.g., step S205 shown in FIG. 2 , but not limited thereto).

[0776] 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.

[0777] 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.

[0778] The technical solutions described in the embodiments of the present disclosure can be combined arbitrarily unless there is any conflict.

[0779] Other embodiments of the present invention will readily occur to those skilled in the art after considering the specification and practicing the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the invention that follow from the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the invention being indicated by the following claims.

[0780] It should be understood that the present invention is not limited to the exact construction described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. An information indication method, characterized in that: include: Acquire signaling, the signaling being used to indicate at least one of the following: First information related to switching of AI operation in artificial intelligence AI operation mode; Second information related to rollback of AI operation in AI operation mode; third information related to switching from a non-AI operating mode to an AI operating mode; A corresponding operation is performed based on the signaling.

2. The method according to claim 1, characterized in that The first information includes: at least one of information related to switching of an AI function and information related to switching of an AI model; The second information includes: at least one of AI function rollback and AI model rollback; The third information includes at least one of the following: Switch from non-AI operation mode to AI operation mode; Switching from non-AI operation mode to AI operation mode AI function; Switch the AI ​​model from non-AI operation mode to AI operation mode.

3. The method according to claim 2, characterized in that The signaling includes a first signaling and a second signaling, The first signaling is used to indicate at least one of the following: Information related to switching of AI functions; Information related to switching of AI models; Switching from non-AI operation mode to AI operation mode AI function; Switching from non-AI operation mode to AI model in AI operation mode; The second signaling is used to indicate at least one of the following: AI function regression; AI model rollback; Switches from non-AI operating mode to AI operating mode.

4. The method according to claim 3, characterized in that The first signaling is used to indicate the AI ​​function or AI model to be activated.

5. The method according to claim 4, characterized in that The performing a corresponding operation based on the signaling includes at least one of the following: Switching the currently used AI function to the AI ​​function indicated by the first signaling; Switching the currently used AI model to the AI ​​model indicated by the first signaling; Switching the non-AI operation to the AI ​​operation based on the AI ​​function indicated by the first signaling; Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first signaling; Based on the instruction of the second signaling, fall back from the AI ​​operation mode to the non-AI operation mode; Based on the instruction of the second signaling, switch from the non-AI operation mode to the AI ​​operation mode.

6. The method according to claim 4 or 5, characterized in that: Also includes: Acquire first configuration information related to AI operation, wherein the first configuration information includes at least one of at least one available AI model and at least one available AI function; The AI ​​model indicated by the first signaling is one of the at least one available AI model; or, The AI ​​function indicated by the first signaling is one of the at least one available AI function.

7. The method according to claim 2, characterized in that The first information field in the signaling is used to indicate at least one of the following: Information related to switching of AI functions; Information related to switching of AI models; Switching from non-AI operation mode to AI operation mode AI function; Switching from non-AI operation mode to AI model in AI operation mode; The second information field in the signaling indicates at least one of the following: AI function regression; AI model rollback; Switches from non-AI operating mode to AI operating mode.

8. The method according to claim 7, characterized in that The first information field is used to indicate the AI ​​function or AI model to be activated.

9. The method according to claim 8, characterized in that The performing a corresponding operation based on the signaling includes at least one of the following: Switching the currently used AI function to the AI ​​function indicated by the first information field; Switching the currently used AI model to the AI ​​model indicated by the first information field; Switching the non-AI operation to the AI ​​operation based on the AI ​​function indicated by the first information field; Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first information field; Based on the indication of the second information field, fall back from the AI ​​operation mode to the non-AI operation mode; Based on the indication of the second information field, switch from the non-AI operation mode to the AI ​​operation mode.

10. The method according to claim 8 or 9, characterized in that: Also includes: Acquire first configuration information related to AI operation, wherein the first configuration information includes at least one of at least one available AI model and at least one available AI function; The AI ​​model indicated by the first information field is one of the at least one available AI model; or, The AI ​​function indicated by the first information field is one of the at least one available AI function.

11. The method according to claim 2, characterized in that The signaling is used to jointly indicate at least two of the first information, the second information, and the third information.

12. The method according to claim 11, characterized in that Also includes: Acquire second configuration information related to the AI ​​operation, where the second configuration information includes a correspondence between a plurality of indication values ​​and the AI ​​operation; The multiple indication values ​​are determined by at least one of the following methods: The second information is jointly encoded with at least one available AI model; The third information and at least one available AI model are jointly encoded; The second information, the third information and at least one available AI model are jointly encoded; The second information and the available at least one AI function are jointly encoded; The third information and at least one available AI function are jointly encoded; The second information, the third information and at least one available AI function are jointly encoded.

13. The method according to claim 12, characterized in that The signaling is used to indicate a first indication value among the multiple indication values, and the performing a corresponding operation based on the signaling includes: Determine and execute an operation to be performed according to the first indication value and the corresponding relationship; The operation includes any of the following: Switching the currently used AI function to the AI ​​function indicated by the first indication value; Switching the currently used AI model to the AI ​​model indicated by the first indication value; Switching the non-AI operation to the AI ​​operation of the AI ​​function indicated by the first indication value; Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first indication value; Fall back from AI operation mode to non-AI operation mode; Switches from non-AI operating mode to AI operating mode.

14. An information indication method, characterized in that: include: Sending signaling, the signaling is used to indicate at least one of the following: first information related to switching of AI operation in the AI ​​operation mode; Second information related to rollback of AI operation in AI operation mode; The third information is related to switching from the non-AI operation mode to the AI ​​operation mode.

15. The method according to claim 14, characterized in that The first information includes: at least one of information related to switching of an AI function and information related to switching of an AI model; The second information includes: at least one of AI function rollback and AI model rollback; The third information includes at least one of the following: Switch from non-AI operation mode to AI operation mode; Switching from non-AI operation mode to AI operation mode AI function; Switch the AI ​​model from non-AI operation mode to AI operation mode.

16. The method according to claim 15, characterized in that The signaling includes a first signaling and a second signaling, The first signaling is used to indicate at least one of the following: Information related to switching of AI functions; Information related to switching of AI models; Switching from non-AI operation mode to AI operation mode AI function; Switching from non-AI operation mode to AI model in AI operation mode; The second signaling is used to indicate at least one of the following: AI function regression; AI model rollback; Switches from non-AI operating mode to AI operating mode.

17. The method according to claim 16, characterized in that The first signaling is used to indicate the AI ​​function or AI model to be activated.

18. The method according to claim 17, characterized in that Also includes: Sending first configuration information related to AI operation, wherein the first configuration information includes at least one of at least one available AI model and at least one available AI function; The AI ​​model indicated by the first signaling is one of the at least one available AI model; or, The AI ​​function indicated by the first signaling is one of the at least one available AI function.

19. The method according to claim 17 or 18, characterized in that The method further comprises: Based on the signaling, at least one of the following operations is performed: Switching the currently used AI function to the AI ​​function indicated by the first signaling; Switching the currently used AI model to the AI ​​model indicated by the first signaling; Switching the non-AI operation to the AI ​​operation based on the AI ​​function indicated by the first signaling; Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first signaling; Based on the instruction of the second signaling, fall back from the AI ​​operation mode to the non-AI operation mode; Based on the instruction of the second signaling, switch from the non-AI operation mode to the AI ​​operation mode.

20. The method according to claim 15, characterized in that The first information field in the signaling is used to indicate at least one of the following: Information related to switching of AI functions; Information related to switching of AI models; Switching from non-AI operation mode to AI operation mode AI function; Switching from non-AI operation mode to AI model in AI operation mode; The second information field in the signaling indicates at least one of the following: AI function regression; AI model rollback; Switches from non-AI operating mode to AI operating mode.

21. The method according to claim 20, characterized in that The first information field is used to indicate the AI ​​function or AI model to be activated.

22. The method according to claim 21, characterized in that Also includes: Sending first configuration information related to AI operation, wherein the first configuration information includes at least one of at least one available AI model and at least one available AI function; The AI ​​model indicated by the first information field is one of the at least one available AI model; or, The AI ​​function indicated by the first information field is one of the at least one available AI function.

23. The method according to claim 21 or 22, characterized in that The method further comprises: Based on the signaling, at least one of the following operations is performed: Switching the currently used AI function to the AI ​​function indicated by the first information field; Switching the currently used AI model to the AI ​​model indicated by the first information field; Switching the non-AI operation to the AI ​​operation based on the AI ​​function indicated by the first information field; Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first information field; Based on the indication of the second information field, fall back from the AI ​​operation mode to the non-AI operation mode; Based on the indication of the second information field, switch from the non-AI operation mode to the AI ​​operation mode.

24. The method according to claim 15, characterized in that The signaling is used to jointly indicate at least two of the first information, the second information, and the third information.

25. The method according to claim 24, characterized in that Also includes: Sending second configuration information related to the AI ​​operation, wherein the second configuration information includes a correspondence between a plurality of indication values ​​and the AI ​​operation; The multiple indication values ​​are determined by at least one of the following methods: Jointly encoding the second information and at least one available AI model; Jointly encoding the third information and at least one available AI model; jointly encoding the second information, the third information, and at least one available AI model; jointly encoding the second information and at least one available AI function; jointly encoding the third information and at least one available AI function; The second information, the third information and at least one available AI function are jointly encoded.

26. The method according to claim 25, characterized in that The signaling is used to indicate a first indication value among the multiple indication values, and the method further includes: Determine and execute an operation to be performed according to the first indication value and the corresponding relationship; The operation includes any of the following: Switching the currently used AI function to the AI ​​function indicated by the first indication value; Switching the currently used AI model to the AI ​​model indicated by the first indication value; Switching the non-AI operation to the AI ​​operation of the AI ​​function indicated by the first indication value; Switching the non-AI operation to the AI ​​operation based on the AI ​​model indicated by the first indication value; Fall back from AI operation mode to non-AI operation mode; Switches from non-AI operating mode to AI operating mode.

27. A terminal, characterized in that: include: The first transceiver module is configured to obtain a signaling, where the signaling is used to indicate at least one of the following: First information related to switching of AI operation in artificial intelligence AI operation mode; Second information related to rollback of AI operation in AI operation mode; third information related to switching from a non-AI operating mode to an AI operating mode; The first processing module is used to perform corresponding operations based on the signaling.

28. A network device, characterized in that: include: The second transceiver module is configured to send a signaling, where the signaling is used to indicate at least one of the following: First information related to switching of AI operation in artificial intelligence AI operation mode; Second information related to rollback of AI operation in AI operation mode; The third information is related to switching from the non-AI operation mode to the AI ​​operation mode.

29. A terminal, characterized in that: include: one or more processors; Wherein, the terminal is used to execute the information indication method described in any one of claims 1 to 13.

30. A network device, characterized in that: include: one or more processors; Wherein, the network device is used to execute the information indication method described in any one of claims 14 to 26.

31. A communication system, characterized in that: include: A terminal and a network device, wherein the terminal is used to implement the method according to any one of claims 1 to 13, and the network device is used to implement the method according to any one of claims 14 to 26.

32. A computer-readable storage medium having a computer program stored thereon, characterized in that: The computer-readable storage medium stores executable instructions, and the executable instructions are loaded and executed by the processor to implement the method according to any one of claims 1 to 13, or claims 14 to 26.

Images