Communication methods, access network devices, network elements, communication system and storage medium

By introducing an AI model update management mechanism into the communication system, the problem of inefficient AI model management is solved, efficient update and deployment of models is achieved, and the flexibility and adaptability of the system is improved.

WO2025166659A1PCT designated stage Publication Date: 2025-08-14BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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Patent Information

Application Number
PCT/CN2024/076782
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-02-07
Publication Date
2025-08-14

AI Technical Summary

Technical Problem

The lack of effective support for the management, training and application of AI models in existing communication systems, resulting in inefficient model updates and deployment.

Method used

By introducing an AI model update management mechanism in the communication system, the information interaction between network elements and devices is used to realize the issuance and update management of the trained AI model, including the transmission of model identification information and notification of model functions.

Benefits of technology

It improves the update efficiency of AI models, reduces interactive steps, shortens update time, and ensures timely update and deployment of models on the device.

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Abstract

Provided in the embodiments of the present disclosure are communication methods, access network devices, network elements, a communication system, a storage medium and a computer program product. A communication method comprises: sending first information to a first device, wherein the first information is used for instructing a first model to update. By means of the embodiments of the present disclosure, update management of an AI model in a communication system can be realized.
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Description

Communication method, access network equipment, network element, communication system and storage medium Technical Field

[0001] The present disclosure relates to the field of wireless communications, and in particular to a communication method, access network equipment, network element, communication system, storage medium, and computer program product. Background Art

[0002] Models such as artificial intelligence (AI) models can be deployed in communication systems, which require support for the management, training, and application of these models.

[0003] Summary of the Invention

[0004] The embodiments of the present disclosure provide a communication method, access network equipment, network element, communication system, storage medium and computer program product to implement the distribution of trained AI models.

[0005] According to a first aspect of an embodiment of the present disclosure, a communication method is provided. The communication method may be performed by a first network element. The communication method includes: sending first information to a first device, wherein the first information is used to indicate a first model update.

[0006] According to a second aspect of an embodiment of the present disclosure, a communication method is provided. The communication method may be performed by a second network element. The communication method includes receiving fourth information sent by a first device, wherein the fourth information is used to request a first model, and the first model is stored on the second network element.

[0007] According to a third aspect of an embodiment of the present disclosure, a communication method is provided. The communication method may be performed by a third network element. The communication method includes: sending second information to a first network element, wherein the second information is used to indicate an update of the first model.

[0008] According to a fourth aspect of an embodiment of the present disclosure, a communication method is provided. The communication method may be performed by a first device. The communication method includes: receiving first information sent by a first network element, wherein the first information is used to indicate a first model update.

[0009] According to a fifth aspect of an embodiment of the present disclosure, a communication method is provided. The communication method can be applied to a core network. The core network may include a first network element and a third network element. The communication method includes: the third network element sending second information to the first network element, where the second information indicates an update of the first model; and the first network element determining to send the first model to the first device.

[0010] According to a sixth aspect of an embodiment of the present disclosure, a communication method is provided. The communication method includes: a third network element sending second information to a first network element, wherein the second information is used to indicate a first model update; and the first network element sending first information to a first device, wherein the first information is used to indicate a first model update.

[0011] According to a seventh aspect of an embodiment of the present disclosure, a first network element is provided, comprising: a transceiver module configured to send first information to a first device, wherein the first information is used to indicate a first model update.

[0012] According to an eighth aspect of an embodiment of the present disclosure, a second network element is provided, comprising: a transceiver module configured to receive fourth information sent by a first device, wherein the fourth information is used to request a first model stored on the second network element.

[0013] According to a ninth aspect of the embodiments of the present disclosure, a third network element is provided, comprising: a transceiver module configured to send second information to the first network element, wherein the second information is used to indicate an update of the first model.

[0014] According to a tenth aspect of an embodiment of the present disclosure, a fourth network element is provided, comprising: a transceiver module configured to receive first information sent by a first network element, wherein the first information is used to indicate a first model update.

[0015] According to an eleventh aspect of the embodiments of the present disclosure, an access network device is provided, comprising: a transceiver module configured to receive first information sent by a first network element, wherein the first information is used to indicate a first model update.

[0016] According to a twelfth aspect of an embodiment of the present disclosure, a first network element is provided. The first network element includes: at least one processor and a memory storing instructions. When the instructions are executed by the first network element, the first network element implements the communication method described in the first aspect.

[0017] According to a thirteenth aspect of an embodiment of the present disclosure, a second network element is provided. The second network element includes: at least one processor and a memory storing instructions. When the instructions are executed by the second network element, the second network element implements the communication method described in the second aspect.

[0018] According to a fourteenth aspect of an embodiment of the present disclosure, a third network element is provided. The third network element includes: at least one processor and a memory storing instructions. When the instructions are executed by the third network element, the third network element implements the communication method described in the third aspect.

[0019] According to a fifteenth aspect of an embodiment of the present disclosure, a fourth network element is provided. The fourth network element includes: at least one processor and a memory storing instructions. When the instructions are executed by the fourth network element, the fourth network element implements the communication method described in the fourth aspect.

[0020] According to a sixteenth aspect of an embodiment of the present disclosure, an access network device is provided. The access network device includes: at least one processor and a memory storing instructions. When the instructions are executed by the access network device, the access network device implements the communication method described in the fourth aspect.

[0021] According to a seventeenth aspect of the embodiments of the present disclosure, a communication system is provided, comprising: a first network element configured to implement the communication method according to the first aspect; and a first device configured to implement the communication method according to the fourth aspect.

[0022] According to an eighteenth aspect of the embodiments of the present disclosure, a storage medium is provided. The storage medium stores instructions. When the instructions are executed on a communication device, the communication device executes the communication method as described in any one of the first to sixth aspects.

[0023] According to a nineteenth aspect of the embodiments of the present disclosure, a computer program product is provided. When the computer program product is executed by a communication device, the communication device executes the communication method as described in any one of the first to sixth aspects.

[0024] According to a twentieth aspect of the present disclosure, there is provided a computer program which, when executed on a computer, causes the computer to execute the communication method according to any one of the first to sixth aspects.

[0025] According to a twenty-first aspect of an embodiment of the present disclosure, a chip or a chip system is provided. The chip or chip system includes a processing circuit. The processing circuit is configured to execute the communication method as described in any one of the first to sixth aspects.

[0026] Through the embodiments of the present disclosure, the trained and / or updated AI model can be sent to the deployed core network equipment and / or access network equipment, thereby realizing the update management of the AI ​​model in the communication system.

[0027] It should be understood that the above general description and the following detailed description are merely exemplary and explanatory and do not constitute limitations on the embodiments of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present invention and, together with the description, serve to explain the principles of the embodiments of the present invention.

[0029] FIG1A is a schematic diagram of the architecture of a communication system provided according to an embodiment of the present disclosure.

[0030] FIG1B is a schematic diagram of an architecture of an implementation of a communication system provided according to an embodiment of the present disclosure.

[0031] FIG2A is a schematic diagram of an AI functional framework based on a communication system.

[0032] FIG2B is a schematic diagram of an ML model-based communication system providing architecture.

[0033] FIG3A is an exemplary interaction diagram of a communication method provided according to an embodiment of the present disclosure.

[0034] FIG3B is an exemplary interaction diagram of a communication method provided according to an embodiment of the present disclosure.

[0035] FIG4 is an exemplary flowchart of a communication method provided according to an embodiment of the present disclosure.

[0036] FIG5 is an exemplary flowchart of a communication method provided according to an embodiment of the present disclosure.

[0037] FIG6 is an exemplary flowchart of a communication method provided according to an embodiment of the present disclosure.

[0038] FIG7 is an exemplary flowchart of a communication method provided according to an embodiment of the present disclosure.

[0039] FIG8A is an illustrative diagram of a communication method according to an embodiment of the present disclosure.

[0040] FIG8B is an illustrative diagram of a communication method according to an embodiment of the present disclosure.

[0041] FIG8C is an illustrative diagram of a communication method according to an embodiment of the present disclosure.

[0042] FIG9 is a flowchart illustrating an exemplary implementation of a communication method according to an embodiment of the present disclosure.

[0043] FIG10 is an exemplary structural diagram of a communication device provided according to an embodiment of the present disclosure.

[0044] FIG11A is a schematic structural diagram of a communication device according to an embodiment of the present disclosure.

[0045] FIG11B is a schematic structural diagram of a chip provided according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0046] Embodiments of the present disclosure provide a communication method, access network equipment, network element, communication system, storage medium, and computer program product.

[0047] In a first aspect, an embodiment of the present disclosure provides a communication method. The communication method may be performed by a first network element. The communication method includes: sending first information to a first device, wherein the first information is used to indicate a first model update.

[0048] According to this embodiment, by sending the first information to the first device to indicate the first model update, the first device can be informed of the first model update. This can further trigger the first device to obtain the updated first model, thereby implementing update management of the first model on the first device.

[0049] In combination with some embodiments of the first aspect, in some embodiments, the first information may include at least one of the following: identification information of the first model; identification information of the model function of the first model; the first model; identification information of the second network element, wherein the first model is stored on the second network element.

[0050] According to this embodiment, the first information may include at least one of the identification information of the first model, the identification information of the model function of the first model, and the identification information of the first model and the second network element. The identification information of the first model or the model function of the first model can be used to notify the first device of the updated first model. The identification information of the second network element can be used to notify the first device of the network element that stores the updated first model. This allows the first device to request the updated first model from the second network element. In some cases, the first information can directly carry the first model, so the first device can directly obtain the first model without having to request it from the second network element. This further reduces interactions and speeds up updates.

[0051] In combination with some embodiments of the first aspect, in some embodiments, the above communication method may further include: receiving second information sent by a third network element, wherein the second information is used to indicate an update of the first model.

[0052] In combination with some embodiments of the first aspect, in some embodiments, the second information may include at least one of the following: identification information of the first model; identification information of the model function of the first model; the first model; identification information of the second network element, wherein the first model is stored on the second network element.

[0053] In combination with some embodiments of the first aspect, in some embodiments, the above communication method may further include: determining to send the first model to the first device.

[0054] According to this embodiment, the first network element may determine whether to send the first model. In this way, when it is determined that the first model is updated, the first device may be notified of the update of the first model.

[0055] In combination with some embodiments of the first aspect, in some embodiments, the above-mentioned communication method may further include: receiving third information sent by the first device, wherein the third information is used to subscribe to updates of the first model from the first network element.

[0056] According to this embodiment, the first device may send third information to the first network element to subscribe to updates of the first model. In this way, the first network element may know which model updates to notify the first device of.

[0057] In combination with some embodiments of the first aspect, in some embodiments, the third information may include at least one of the following: identification information of the first model; identification information of the model function of the first model; identification information of the first device.

[0058] According to this embodiment, by including the identification information of the first model, the identification information of the model function of the first model, and the identification information of the first device in the third information, the first device can subscribe to updates of the first model corresponding to the identification information from the first network element. For example, the first device can subscribe to updates of the first model identified by the identification information. For example, the first device can subscribe to updates of the first model having the model function identified by the identification information. For example, the first device can subscribe to updates of any first model deployed on the first device identified by the identification information.

[0059] In combination with some embodiments of the first aspect, in some embodiments, the first model may be an AI model, a machine learning (ML) model, or a trainable model.

[0060] In combination with some embodiments of the first aspect, in some embodiments, the first device may include at least one of the following: an access network device, a fourth network element.

[0061] According to this embodiment, the updated first model can be sent to the access network device and / or the core network device. In this way, the update notification of the first model can be implemented for both the access network device and the core network device.

[0062] In a second aspect, embodiments of the present disclosure provide a communication method. The communication method may be performed by a second network element. The communication method includes receiving fourth information sent by a first device, wherein the fourth information is used to request a first model, and the first model is stored on the second network element.

[0063] According to this embodiment, the fourth information can be used to request the second network element to update the first model. The updated first model is stored on the second network element. In this way, by receiving the fourth information, the second network element can issue the first model.

[0064] In combination with some embodiments of the second aspect, in some embodiments, the fourth information may include at least one of the following: identification information of the first model; identification information of the model function of the first model; identification information of the first device.

[0065] According to this embodiment, the second network element can determine the first model that needs to be delivered based on the identification information of the first model and / or the identification information of the model function of the first model in the fourth information. In addition, based on the identification information of the first device, the second network element can determine to deliver the updated first model to the first device.

[0066] In combination with some embodiments of the second aspect, in some embodiments, the above communication method may further include: sending fifth information to the first device, wherein the fifth information is used to indicate the first model.

[0067] In combination with some embodiments of the second aspect, in some embodiments, the above-mentioned communication method may further include: receiving sixth information sent by a third network element, wherein the sixth information is used to indicate the first model.

[0068] In combination with some embodiments of the second aspect, in some embodiments, the first model may be an AI model, an ML model, or a trainable model.

[0069] In combination with some embodiments of the second aspect, in some embodiments, the first device may include at least one of the following: an access network device, a fourth network element.

[0070] In a third aspect, embodiments of the present disclosure provide a communication method. The communication method may be performed by a third network element. The communication method includes: sending second information to a first network element, wherein the second information is used to indicate an update of a first model.

[0071] According to this embodiment, the third network element may notify the first network element of the first model update after the first model update is completed. In this way, the first network element may be informed of the update of the first model.

[0072] In combination with some embodiments of the third aspect, in some embodiments, the second information may include at least one of the following: identification information of the first model; identification information of the model function of the first model; the first model; identification information of the second network element, wherein the first model is stored on the second network element.

[0073] In combination with some embodiments of the third aspect, in some embodiments, the above-mentioned communication method may further include: sending sixth information to the second network element, wherein the sixth information is used to indicate the first model, and the first model is obtained through training.

[0074] In combination with some embodiments of the third aspect, in some embodiments, the first model may be an AI model, an ML model, or a trainable model.

[0075] In a fourth aspect, embodiments of the present disclosure provide a communication method. The communication method may be performed by a first device. The communication method includes receiving first information sent by a first network element, wherein the first information indicates a first model update.

[0076] According to this embodiment, after receiving the first information, the first device can determine that the subscribed first model is updated. In this way, the first information enables the first device to obtain or request the updated first model, and the first device can promptly use the updated first model to perform reasoning.

[0077] In combination with some embodiments of the fourth aspect, in some embodiments, the first information includes at least one of the following: identification information of the first model; identification information of the model function of the first model; the first model; identification information of the second network element, wherein the first model is stored on the second network element.

[0078] In combination with some embodiments of the fourth aspect, in some embodiments, the above-mentioned communication method may further include: sending fourth information to the second network element, wherein the fourth information is used to request the first model, and the first model is stored on the second network element.

[0079] In combination with some embodiments of the fourth aspect, in some embodiments, the fourth information may include at least one of the following: identification information of the first model; identification information of the model function of the first model; identification information of the first device.

[0080] In combination with some embodiments of the fourth aspect, in some embodiments, the above-mentioned communication method may further include: receiving fifth information sent by the second network element, wherein the fifth information is used to indicate the first model.

[0081] In combination with some embodiments of the fourth aspect, in some embodiments, the first model is an AI model, an ML model, or a trainable model.

[0082] In combination with some embodiments of the fourth aspect, in some embodiments, the first device may include at least one of the following: an access network device, a fourth network element.

[0083] In a fifth aspect, embodiments of the present disclosure provide a communication method. This communication method can be applied to a core network. The core network may include a first network element and a third network element. The communication method includes: the third network element sending second information to the first network element, where the second information indicates an update of the first model; and the first network element determining to send the first model to the first device.

[0084] In conjunction with some embodiments of the fifth aspect, in some embodiments, the core network may further include a second network element. The communication method may further include: the third network element sending sixth information to the second network element, wherein the sixth information is used to indicate the first model.

[0085] In a sixth aspect, embodiments of the present disclosure provide a communication method, including: a third network element sending second information to a first network element, wherein the second information indicates a first model update; and the first network element sending first information to a first device, wherein the first information indicates a first model update.

[0086] In combination with some embodiments of the sixth aspect, in some embodiments, the above-mentioned communication method may also include: the first device sends fourth information to the second network element, wherein the fourth information is used to request the first model, and the first model is stored on the second network element; the second network element sends fifth information to the first device, wherein the fifth information is used to indicate the first model.

[0087] In a seventh aspect, an embodiment of the present disclosure provides a first network element, comprising: a transceiver module configured to send first information to a first device, wherein the first information is used to indicate a first model update.

[0088] In combination with some embodiments of the seventh aspect, in some embodiments, the first information may include at least one of the following: identification information of the first model; identification information of the model function of the first model; the first model; identification information of the second network element, wherein the first model is stored on the second network element.

[0089] In combination with some embodiments of the seventh aspect, in some embodiments, the transceiver module can also be configured to: receive second information sent by a third network element, wherein the second information is used to indicate an update of the first model.

[0090] In combination with some embodiments of the seventh aspect, in some embodiments, the second information may include at least one of the following: identification information of the first model; identification information of the model function of the first model; the first model; identification information of the second network element, wherein the first model is stored on the second network element.

[0091] In combination with some embodiments of the seventh aspect, in some embodiments, the above-mentioned first network element may further include: a processing module configured to determine to send the first model to the first device.

[0092] In combination with some embodiments of the seventh aspect, in some embodiments, the transceiver module can also be configured to: receive third information sent by the first device, wherein the third information is used to subscribe to updates of the first model from the first network element.

[0093] In combination with some embodiments of the seventh aspect, in some embodiments, the third information may include at least one of the following: identification information of the first model; identification information of the model function of the first model; identification information of the first device.

[0094] In combination with some embodiments of the seventh aspect, in some embodiments, the first model may be an AI model, a machine learning (ML) model, or a trainable model.

[0095] In combination with some embodiments of the seventh aspect, in some embodiments, the first device may include at least one of the following: an access network device, a fourth network element.

[0096] In an eighth aspect, an embodiment of the present disclosure provides a second network element, comprising: a transceiver module configured to receive fourth information sent by a first device, wherein the fourth information is used to request a first model stored on the second network element.

[0097] In combination with some embodiments of the eighth aspect, in some embodiments, the fourth information may include at least one of the following: identification information of the first model; identification information of the model function of the first model; identification information of the first device.

[0098] In combination with some embodiments of the eighth aspect, in some embodiments, the transceiver module may also be configured to: send fifth information to the first device, wherein the fifth information is used to indicate the first model.

[0099] In combination with some embodiments of the eighth aspect, in some embodiments, the transceiver module can also be configured to: receive sixth information sent by a third network element, wherein the sixth information is used to indicate the first model.

[0100] In combination with some embodiments of the eighth aspect, in some embodiments, the first model may be an AI model, an ML model, or a trainable model.

[0101] In combination with some embodiments of the eighth aspect, in some embodiments, the first device may include at least one of the following: an access network device, a fourth network element.

[0102] In a ninth aspect, an embodiment of the present disclosure provides a third network element, which includes: a transceiver module configured to send second information to the first network element, wherein the second information is used to indicate that the first model is updated.

[0103] In combination with some embodiments of the ninth aspect, in some embodiments, the second information may include at least one of the following: identification information of the first model; identification information of the model function of the first model; the first model; identification information of the second network element, wherein the first model is stored on the second network element.

[0104] In combination with some embodiments of the ninth aspect, in some embodiments, the transceiver module can also be configured to: send sixth information to the second network element, wherein the sixth information is used to indicate the first model, and the first model is obtained through training.

[0105] In combination with some embodiments of the ninth aspect, in some embodiments, the first model may be an AI model, an ML model, or a trainable model.

[0106] In a tenth aspect, an embodiment of the present disclosure provides a fourth network element, which includes: a transceiver module configured to receive first information sent by a first network element, wherein the first information is used to indicate a first model update.

[0107] In combination with some embodiments of the tenth aspect, in some embodiments, the first information includes at least one of the following: identification information of the first model; identification information of the model function of the first model; the first model; identification information of the second network element, wherein the first model is stored on the second network element.

[0108] In combination with some embodiments of the tenth aspect, in some embodiments, the transceiver module can also be configured to: send fourth information to the second network element, wherein the fourth information is used to request the first model, and the first model is stored on the second network element.

[0109] In combination with some embodiments of the tenth aspect, in some embodiments, the fourth information may include at least one of the following: identification information of the first model; identification information of the model function of the first model; identification information of the first device.

[0110] In combination with some embodiments of the tenth aspect, in some embodiments, the transceiver module can also be configured to: receive fifth information sent by the second network element, wherein the fifth information is used to indicate the first model.

[0111] In combination with some embodiments of the tenth aspect, in some embodiments, the first model is an AI model, an ML model, or a trainable model.

[0112] In an eleventh aspect, an embodiment of the present disclosure provides an access network device, including: a transceiver module configured to receive first information sent by a first network element, wherein the first information is used to indicate a first model update.

[0113] In combination with some embodiments of the eleventh aspect, in some embodiments, the first information includes at least one of the following: identification information of the first model; identification information of the model function of the first model; the first model; identification information of the second network element, wherein the first model is stored on the second network element.

[0114] In combination with some embodiments of the eleventh aspect, in some embodiments, the transceiver module can also be configured to: send fourth information to the second network element, wherein the fourth information is used to request the first model, and the first model is stored on the second network element.

[0115] In combination with some embodiments of the eleventh aspect, in some embodiments, the fourth information may include at least one of the following: identification information of the first model; identification information of the model function of the first model; identification information of the first device.

[0116] In combination with some embodiments of the eleventh aspect, in some embodiments, the transceiver module can also be configured to: receive fifth information sent by the second network element, wherein the fifth information is used to indicate the first model.

[0117] In combination with some embodiments of the eleventh aspect, in some embodiments, the first model is an AI model, an ML model, or a trainable model.

[0118] In a twelfth aspect, an embodiment of the present disclosure provides a first network element. The first network element includes: at least one processor and a memory storing instructions. When the instructions are executed by the first network element, the first network element implements the communication method as described in any one of the first aspect and possible implementations thereof.

[0119] In a thirteenth aspect, an embodiment of the present disclosure provides a second network element. The second network element includes: at least one processor and a memory storing instructions. When the second network element executes the instructions, the second network element implements the communication method as described in any one of the second aspect and possible implementations thereof.

[0120] In a fourteenth aspect, embodiments of the present disclosure provide a third network element. The third network element includes: at least one processor and a memory storing instructions. When the third network element executes the instructions, the third network element implements the communication method as described in any one of the third aspect and possible implementations thereof.

[0121] In a fifteenth aspect, an embodiment of the present disclosure provides a fourth network element. The fourth network element includes: at least one processor and a memory storing instructions. When the fourth network element executes the instructions, the fourth network element implements the communication method as described in any one of the fourth aspect and possible implementations thereof.

[0122] In a sixteenth aspect, embodiments of the present disclosure provide an access network device. The access network device includes at least one processor and a memory storing instructions. The instructions, when executed by the access network device, enable the access network device to implement the communication method described in the fourth aspect and any one of its possible implementations.

[0123] In a seventeenth aspect, embodiments of the present disclosure provide a communication system. The communication system includes: a first network element configured to implement the communication method described in the first aspect and any one of its possible implementations; and a first device configured to implement the communication method described in the fourth aspect and any one of its possible implementations.

[0124] In an eighteenth aspect, an embodiment of the present disclosure provides a storage medium. The storage medium stores instructions. When the instructions are executed on a communication device, the communication device executes the communication method as described in any one of the first, second, third, fourth, fifth, and sixth aspects and any possible implementations thereof.

[0125] In a nineteenth aspect, an embodiment of the present disclosure provides a program product. When executed by a communication device, the program product causes the communication device to perform the communication method as described in any one of the first aspect, the second aspect, the third aspect, the fourth aspect, the fifth aspect, the sixth aspect, and any possible implementations thereof.

[0126] In a twentieth aspect, an embodiment of the present disclosure provides a computer program. When the computer program is executed on a computer, the computer executes the communication method as described in any one of the first aspect, the second aspect, the third aspect, the fourth aspect, the fifth aspect, the sixth aspect, and any possible implementations thereof.

[0127] In a twenty-first aspect, embodiments of the present disclosure provide a chip or chip system. The chip or chip system includes a processing circuit. The processing circuit is configured to execute the communication method as described in any one of the first, second, third, fourth, fifth, and sixth aspects and any possible implementations thereof.

[0128] It is understandable that the aforementioned access network devices, network elements, communication systems, storage media, program products, computer programs, chips, and chip systems are all used to implement the communication methods provided in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding methods and will not be repeated here.

[0129] The present disclosure provides a communication method, access network device, network element, communication system, storage medium, and computer program product. In some embodiments, the terms communication method, information processing method, and information transmission method are interchangeable; the terms network element, network device, network function, and network entity are interchangeable; and the terms communication system and information processing system are interchangeable.

[0130] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0131] In the embodiments of the present disclosure, unless otherwise specified or there is a logical conflict, 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.

[0132] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0133] 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 articles such as "a", "an", "the" in English are used in translation, the noun following the article may be understood as a singular expression or a plural expression.

[0134] In the embodiments of the present disclosure, “plurality” refers to two or more than two.

[0135] In some embodiments, the terms "at least one", "one or more", etc. can be used interchangeably.

[0136] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

[0137] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.

[0138] 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 example, if the description object is "information", then the "second information" and the "first information" can be the same information or different information, and their contents can be the same or different.

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] In some embodiments, "network" can be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

[0144] 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", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)" and the like may be used interchangeably.

[0145] 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.

[0146] In some embodiments, the access network device, the core network device, or the network device can be replaced by a terminal. For example, the various embodiments of the present disclosure can also be applied to a structure in which the communication between the access network device, the core network device, or the network device and the terminal is replaced by communication between multiple terminals (for example, device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, it is also possible to set the structure in which the terminal has all or part of the functions of the access network device. In addition, terms such as "uplink" and "downlink" can also be replaced by terms corresponding to communication between terminals (for example, "side"). For example, uplink channels, downlink channels, etc. can be replaced by side channels, and uplinks, downlinks, etc. can be replaced by side links.

[0147] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, the core network device, or the network device may have a structure that has all or part of the functions of the terminal.

[0148] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0149] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0150] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0151] FIG1A is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure. As shown in FIG1A , a communication system 100 includes an access network device 101 and a core network device 102 .

[0152] In some embodiments, the access network device 101 can be, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a satellite base station, a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

[0153] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces within the access network equipment involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0154] In some embodiments, the access network device 101 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.

[0155] In some embodiments, the core network device 102 may be a single device that integrates the first network element 1021, the second network element 1022, the third network element 1023, the fourth network element 1024, the fifth network element 1025, etc., or may be multiple devices or a device group that respectively includes all or part of the first network element 1021, the second network element 1022, the third network element 1023, the fourth network element 1024, the fifth network element 1025, etc. The core network device may be virtual or physical. The core network includes, for example, at least one of an evolved packet core (EPC), a 5G core network (5GCN), and a next generation core (NGC).

[0156] In some embodiments, the first network element 1021 may be, for example, an AI management function (AIMF).

[0157] In some embodiments, the first network element 1021 can be used to implement management and monitoring of AI models, and the name is not limited thereto.

[0158] In some embodiments, the second network element 1022 may be, for example, an analytics data repository function (ADRF).

[0159] In some embodiments, the second network element 1022 can be used to store collected data and analysis, and store AI models, without limitation.

[0160] In some embodiments, the third network element 1023 may be, for example, a network data analytics function (NWDAF).

[0161] In some embodiments, the third network element 1023 can be used to support data collection and implement AI model updates, and the name is not limited to this.

[0162] In some embodiments, the fifth network element 1025 may be, for example, an access and mobility management function (AMF).

[0163] In some embodiments, the fifth network element 1025 can be used to complete mobility management, non-access stratum mobility management (NAS MM) signaling processing, NAS session management (SM) signaling routing, security anchor point and security context management, etc., and the name is not limited to this.

[0164] In some embodiments, the fourth network element 1024 can be used to deploy an AI model thereon and use the deployed AI model, without limitation to the name.

[0165] In some embodiments, the communication system 100 may be a 5G communication system. It should be noted that the communication system 100 may also be other communication systems, such as a 4G communication system or a 6G communication system, which is not specifically limited in the present disclosure.

[0166] In Figure 1B, the architecture of a communication system is exemplarily described by taking a 5G communication system as an example. Here, the access network device 101 may be a RAN.

[0167] Figure 1B is a schematic diagram of the architecture of an implementation of a communication system according to an embodiment of the present disclosure. As shown in Figure 1B, the architecture of the 5G communication system is presented in a service-based interface manner.

[0168] Namf is a service-based interface provided by the AMF. Nadrf is a service-based interface provided by the ADRF. Nnwdaf is a service-based interface provided by the NWDAF. Naimf is a service-based interface provided by the AIMF. Nudm is a service-based interface provided by the UDM. N2 is the anchor point between the AMF and the RAN. N1 is the anchor point between the AMF and the UE. Uu is the interface between the RAN and the UE.

[0169] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution provided by the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution provided by the embodiment of the present disclosure is also applicable to similar technical problems.

[0170] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1A , or a portion thereof, but are not limited thereto. The entities shown in FIG1A are illustrative only. The communication system may include all or part of the entities shown in FIG1A , or may include other entities other than those shown in FIG1A . The number and form of the entities may be arbitrary. The connection relationship between the entities is illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0171] The embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), future radio access (FRA), new radio access technology (RAT), new radio (NR), new radio access (NX), future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X), systems utilizing other communication methods, and next-generation systems based on and extending these methods. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0172] Based on AI network architectures, the integration of communication networks and AI technologies is progressing. In this process, data analysis through the NWDAF mechanism and AI / machine learning (ML) enable intelligent 5GC and air interfaces in data collection, machine learning (ML) model training, and analytical reasoning. By introducing 5GC support capabilities, the AIML system (AIMLsys) supports AI / ML operations at the application layer.

[0173] In some embodiments, the scope of AL services in the communication network can be expanded, thereby using AI / ML technology to realize the intelligence of 5GC and air interface, provide automation of the communication network and improve the efficiency of the 5G network architecture.

[0174] Figure 2A is a schematic diagram of an AI functional framework for a communication system. As shown in Figure 2A , an AI / ML functional framework for the NR air interface can be introduced for the RAN. This functional framework 2100 can include the following five functions: data collection function 2101, model training function 2102, management function 2103, inference function 2104, and model storage function 2105.

[0175] In some embodiments, data collection functionality 2101 is used to provide input data to model training, management, inference, and other functions. The data collected through data collection may include at least one of the following: training data, monitoring data, and inference data. Training data may be data provided to the model training functionality. Monitoring data may be data provided to the management functionality. Inference data may be data provided to the inference functionality.

[0176] In some embodiments, the model training function 2102 is used to implement AI / ML model training, verification, and testing. Here, as part of the model verification process, the model training function can generate model performance indicators. In some cases, the model training function can also be responsible for data preparation (e.g., data preprocessing and cleaning, formatting, and conversion) based on the training data from the data collection function. The model training function can provide the trained, verified, and tested model to the model storage function, or provide an updated version of the model to the model storage function.

[0177] In some embodiments, the management function 2103 is used to perform operational supervision (e.g., selection, activation, deactivation, switching, fallback) and monitoring (e.g., performance) of the model and its functions. In some embodiments, the management function may also be responsible for decision-making to ensure that appropriate reasoning operations are implemented based on data from the data collection function and the reasoning function. The management instructions of the management function can be information used to manage the reasoning function. This information may include the selection, activation, deactivation, switching, fallback to non-AI / ML operations, etc. of the model. The model transfer request of the management function can be used to request a model from the model storage function. The management function can provide performance feedback / retention requests to the model training function, for example, for training or updating the model.

[0178] In some embodiments, the reasoning function 2104 is used to provide the output of the process of applying the model or model function. This process can use the data provided by the data collection function (i.e., reasoning data) as input. In some embodiments, the reasoning function can also be responsible for data preparation (e.g., pre-processing and cleaning, formatting, and conversion of data) based on the training data from the data collection function. The output of the reasoning function can be used by the management function to monitor the performance of the model or model function.

[0179] In some embodiments, the model storage function 2105 can be used to store trained / updated models that can be used to perform inference. The model storage function can pass the model to the inference function.

[0180] Figure 2B is a schematic diagram of an ML model provisioning architecture for a communication system. As shown in Figure 2B , in a 5G system architecture, NWDAF 2201 may include an analytics logical function (AnLF). The AnLF may provide services using a trained ML model from another NWDAF 2202. The other NWDAF may include a model training logical function (MTLF).

[0181] In some embodiments, AnLF can perform inference, obtain analytical information, and expose analytical services.

[0182] In some embodiments, the MTLF can train ML models and expose new training services (e.g., provide trained ML models).

[0183] The ML model provisioning architecture shown in Figure 2B needs to be able to support the functional framework 2100 shown in Figure 2A. In some scenarios, model-based reasoning can be implemented by access network equipment (e.g., base stations) and / or network elements in the core network. This requires sending the model to the base stations and / or network elements.

[0184] FIG3A is an exemplary interaction diagram of a communication method provided according to an embodiment of the present disclosure. As shown in FIG3A , an embodiment of the present disclosure relates to a communication method. The communication method includes steps S3101 to S3107.

[0185] In step S3101 , the access network device 101 sends third information to the first network element 1021 .

[0186] In some embodiments, the first network element 1021 may receive third information.

[0187] In some embodiments, the third information may be used to subscribe to updates of the first model. In some embodiments, the third information may be used to subscribe to updates of the first model from the first network element 1021 .

[0188] In some embodiments, the third information may be used to subscribe to an update notification service from the first network element 1021. In some embodiments, the third information may be used to request the first network element 1021 to send a notification regarding an update of the first model.

[0189] In some embodiments, the name of the third information is not limited, for example, it can be subscription information, model update request information, etc.

[0190] In some embodiments, the third information may include identification information of the access network device 101. In this case, the third information may be used to subscribe to updates of one or more models associated with the access network device 101. The first model may be at least one of the one or more models.

[0191] In some embodiments, the third information may include at least one of the following: identification information of the first model, identification information of the model function of the first model.

[0192] In some embodiments, the identification information of the first model may be an identifier of the first model.

[0193] In some embodiments, the identification information of the first model may be used to identify the first model. In this case, the third information may be used to subscribe to updates of the first model identified by the identification information.

[0194] In some embodiments, the identification information of the model function of the first model may be an identifier of the model function of the first model.

[0195] In some embodiments, identification information of the model function of the first model may be used to identify the first model. In this case, the third information may be used to subscribe to updates of the first model identified by the identification information.

[0196] In some embodiments, the first model may be at least one of the following types: an AI model, an ML model, a trainable model.

[0197] In some embodiments, the first network element 1021 may be, for example, an AI management function (AIMF).

[0198] In some embodiments, the first network element 1021 can be used to implement management and monitoring of AI models, and the name is not limited thereto.

[0199] In step S3102 , the third network element 1023 sends sixth information to the second network element 1022 .

[0200] In some embodiments, the second network element 1022 may receive the sixth information.

[0201] In some embodiments, the sixth information may be used to indicate the first model.

[0202] In some embodiments, the sixth information may be used to send the first model to the second network element 1022 .

[0203] In some embodiments, the name of the sixth information is not limited. For example, it can be model upload information, model update information, etc.

[0204] In some embodiments, the sixth information may carry the first model. In some embodiments, the first model carried in the sixth information may be a trained first model and / or an updated first model.

[0205] In some embodiments, the sixth information may include at least one of the following: identification information of the first model, identification information of the model function of the first model. The identification information of the first model and / or the identification information of the model function of the first model may be used to identify the first model carried in the sixth information.

[0206] In some embodiments, the first model may be obtained through training.

[0207] In some embodiments, the first model may be trained and / or updated in the third network element 1023 .

[0208] In some embodiments, after receiving the sixth information, the second network element 1022 may store the first model indicated by the sixth information.

[0209] In some embodiments, the second network element 1022 may be, for example, an analytics data repository function (ADRF).

[0210] In some embodiments, the second network element 1022 can be used to store collected data and analysis, and store AI models, without limitation.

[0211] In some embodiments, the third network element 1023 may be, for example, a network data analytics function (NWDAF).

[0212] In some embodiments, the third network element 1023 can be used to support data collection and implement AI model updates, and the name is not limited to this.

[0213] In step S3103 , the third network element 1023 sends second information to the first network element 1021 .

[0214] In some embodiments, the first network element 1021 receives the second information.

[0215] In some embodiments, the second information may be used to indicate an update of the first model.

[0216] In some embodiments, the name of the second information is not limited, for example, it can be model update notification information, model update indication information, etc.

[0217] In some embodiments, the second information may include at least one of the following: identification information of the first model, identification information of the model function of the first model, and identification information of the second network element 1022.

[0218] In some embodiments, the identification information of the second network element 1022 may be used to identify the second network element 1022 in which the first model is stored.

[0219] In some embodiments, step S3103 may be performed after step S3102. For example, after the third network element 1023 successfully uploads the first model to the second network element 1022 via the sixth information, the third network element 1023 may send the second information to the first network element 1021. It is understood that step S3103 may also be performed before step S3102 or simultaneously with step S3102, and this is not specifically limited in the present embodiment.

[0220] In step S3104, the first network element 1021 determines to send the first model.

[0221] In some embodiments, after receiving the second information, the first network element 1021 may determine to send the first model.

[0222] In some embodiments, the first network element 1021 may determine to issue the first model based on the second information. In one example, after the first network element 1021 determines that the first model is updated based on the second information, the first network element 1021 may determine to issue the first model.

[0223] In some embodiments, the first network element 1021 may determine that the first model is updated based on the identification information of the first model and / or the identification information of the model function of the first model carried in the second information.

[0224] In some embodiments, the first network element 1021 may determine to send the first model to the access network device 101 in response to the subscription of the third information from the access network device 101 .

[0225] In some embodiments, the first network element 1021 may determine, based on the identification information of the first model and / or the identification information of the model function of the first model carried in the second information, that the first model indicated by the second information is associated with the identification information of the access network device 101. In this case, the first network element 1021 may determine to send the first model to the access network device 101.

[0226] In some embodiments, the first network element 1021 may determine that the identification information of the first model and / or the identification information of the model function of the first model carried in the second information matches the identification information of the first model and / or the identification information of the model function of the first model carried in the first information. In this case, the first network element 1021 may determine to send the first model to the access network device 101.

[0227] In step S3105 , the first network element 1021 sends first information to the access network device 101 .

[0228] In some embodiments, the first network element 1021 may send the first information indirectly to the access network device 101 .

[0229] In some embodiments, the first network element 1021 may send the first information through the control plane.

[0230] In some embodiments, the first network element 1021 sends the first information to the access network device 101 through the fifth network element 1025. In one example, the first information may be sent to the fifth network element 1025; the fifth network element 1025 may send the received first information to the access network device 101.

[0231] In some embodiments, the fifth network element 1025 may be, for example, an access and mobility management function (AMF).

[0232] In some embodiments, the fifth network element 1025 can be used to complete mobility management, non-access stratum mobility management (NAS MM) signaling processing, NAS session management (SM) signaling routing, security anchor point and security context management, etc., and the name is not limited to this.

[0233] In some embodiments, the first network element 1021 may directly send the first information to the access network device 101 .

[0234] In some embodiments, the first network element 1021 may send the first information to the access network device 101 according to the IP address of the access network device 101 .

[0235] In some embodiments, the first information may be used to indicate a first model update.

[0236] In some embodiments, the name of the first information is not limited, for example, it can be update notification information, update indication information, etc.

[0237] In some embodiments, the first information may include at least one of the following: identification information of the first model, identification information of the model function of the first model, and identification information of the second network element 1022.

[0238] In some embodiments, the access network device 101 may determine to update the first model based on the first information. In some embodiments, the access network device 101 may determine to update the first model based on identification information of the first model and / or identification information of the model function of the first model carried in the first information.

[0239] In step S3106 , the access network device 101 sends fourth information to the second network element 1022 .

[0240] In some embodiments, the access network device 101 may send the fourth information to the second network element 1022 based on the identification information of the second network element 1022 carried in the first information.

[0241] In some embodiments, the second network element 1022 may receive fourth information.

[0242] In some embodiments, the fourth information may be used to request the first model.

[0243] In some embodiments, the fourth information may be used to request the second network element 1022 to send the first model.

[0244] In some embodiments, the name of the fourth information is not limited. For example, it can be model acquisition information, model request information, model query information, etc.

[0245] In some embodiments, the fourth information may include at least one of the following: identification information of the first model, identification information of the model function of the first model, and identification information of the access network device 101.

[0246] In step S3107 , the second network element 1022 sends fifth information to the access network device 101 .

[0247] In some embodiments, the access network device 101 may receive the fifth information.

[0248] In some embodiments, the fifth information may be used to indicate the first model.

[0249] In some embodiments, the fifth information may carry the first model.

[0250] In some embodiments, the first model may be stored in the second network element 1022 and carried in the fifth information according to the fourth information.

[0251] In some embodiments, the name of the fifth information is not limited. For example, it can be model delivery information, model provision information, model configuration information, etc.

[0252] In some embodiments, the second network element 1022 may directly send the fifth information to the access network device 101 .

[0253] In some embodiments, the second network element 1022 may send the fifth information to the access network device 101 through operation, administration and maintenance (OAM).

[0254] In some embodiments, the second network element 1022 may send fifth information to the access network device 101 in response to the fourth information. That is, steps S3106 and S3107 may be performed sequentially.

[0255] In some embodiments, the second network element 1022 may autonomously send the fifth information to the access network device 101. That is, step S3106 may not need to be performed before step S3107.

[0256] The communication method involved in the embodiments of the present disclosure may include at least one of steps S3101 to S3107. For example, step S3103 may be implemented as an independent embodiment, step S3105 may be implemented as an independent embodiment, step S3106 may be implemented as an independent embodiment, the combination of steps S3103 and S3105 may be implemented as an independent embodiment, the combination of steps S3103 and S3106 may be implemented as an independent embodiment, and the combination of steps S3105 and S3106 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0257] In some embodiments, steps S3101, S3102, S3104, S3105, S3106, and S3107 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0258] In some embodiments, steps S3101, S3102, S3103, S3104, S3106, and S3107 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0259] In some embodiments, steps S3101, S3102, S3103, S3104, S3105, and S3107 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0260] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 3A .

[0261] FIG3B is an exemplary interaction diagram of a communication method provided according to an embodiment of the present disclosure. As shown in FIG3B , an embodiment of the present disclosure relates to a communication method. The communication method includes steps S3201 to S3205.

[0262] In step S3201 , the access network device 101 sends third information to the first network element 1021 .

[0263] The optional implementation of step S3201 can refer to the optional implementation of step S3101 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0264] In step S3202 , the third network element 1023 sends sixth information to the second network element 1022 .

[0265] The optional implementation of step S3202 can refer to the optional implementation of step S3102 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0266] In step S3203 , the third network element 1023 sends second information to the first network element 1021 .

[0267] The optional implementation of step S3203 can refer to the optional implementation of step S3103 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0268] In some embodiments, the second information may include at least one of the following: identification information of the first model, identification information of the model function of the first model.

[0269] In some embodiments, the second information may include the first model. In other words, the second information may carry the first model.

[0270] In some embodiments, the first information may include identification information of the first model and the first model.

[0271] In some embodiments, the first information may include identification information of a model function of the first model, and the first model.

[0272] In some embodiments, the first information may include identification information of the first model, identification information of a model function of the first model, and the first model.

[0273] In some embodiments, the first information may include model parameters of the first model.

[0274] In some embodiments, the first information may include all model parameters of the trained and / or updated first model.

[0275] In some embodiments, the first information may include part of the model parameters of the trained and / or updated first model. For example, the first information may include a portion of the model parameters of the trained and / or updated first model that has changed.

[0276] In step S3204, the first network element 1021 determines to send the first model.

[0277] The optional implementation of step S3204 can refer to the optional implementation of step S3104 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0278] In some embodiments, the first network element 1021 may determine that the second information carries the first model, and then the first network element 1021 may determine to send the first model.

[0279] In step S3205 , the first network element 1021 sends first information to the access network device 101 .

[0280] The optional implementation of step S3205 can refer to the optional implementation of step S3105 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0281] In some embodiments, the first information may include a first model.

[0282] In some embodiments, the first network element 1021 may obtain the first model from the second information and carry the first model in the first information.

[0283] The communication method according to the embodiments of the present disclosure may include at least one of steps S3201 to S3205. For example, step S3203 may be implemented as an independent embodiment, step S3205 may be implemented as an independent embodiment, and a combination of steps S3203 and S3205 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0284] In some embodiments, steps S3201, S3202, S3204, and S3205 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0285] In some embodiments, steps S3201, S3202, S3203, and S3204 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0286] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 3B .

[0287] It should be noted that in the communication method shown in Figures 3A and 3B, the access network device 101 can also be replaced by the fourth network element 1024. In this case, the communication method can also be applied to the fourth network element 1024 to obtain the trained and / or updated first model. Therefore, the communication method in the embodiment of the present disclosure can be used to implement the delivery of the trained first model to the access network device 101 and / or the fourth network element 1024.

[0288] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codeword", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0289] In some embodiments, the terms "radio", "wireless", "radio access network (RAN)", "access network (AN)", "RAN-based" and the like may be used interchangeably.

[0290] In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.

[0291] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0292] 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.

[0293] FIG4 is an exemplary flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4 , an embodiment of the present disclosure relates to a communication method. The communication method includes steps S401 to S404.

[0294] In step S401, third information is obtained.

[0295] Optional implementations of step S401 can refer to the optional implementations of step S3101 in FIG. 3A , step S3201 in FIG. 3B , and other related parts in the embodiments involved in FIG. 3A and FIG. 3B , which will not be described in detail here.

[0296] In some embodiments, the first network element 1021 may receive third information sent by the access network device 101 and / or the fourth network element 1024, but is not limited thereto and may also receive third information sent by other entities.

[0297] In some embodiments, the first network element 1021 may obtain third information specified by the protocol.

[0298] In some embodiments, the first network element 1021 may obtain the third information from an upper layer.

[0299] In some embodiments, the first network element 1021 may perform processing to obtain the third information.

[0300] In some embodiments, step S4101 may be omitted, and the first network element 1021 may autonomously implement the function indicated by the third information, or the above function may be default or by default.

[0301] In step S402, second information is obtained.

[0302] Optional implementations of step S402 can refer to the optional implementations of step S3103 in FIG. 3A , step S3203 in FIG. 3B , and other related parts in the embodiments involved in FIG. 3A and FIG. 3B , which will not be described in detail here.

[0303] In some embodiments, the first network element 1021 may receive the second information sent by the third network element 1023 , but is not limited thereto and may also receive the second information sent by other entities.

[0304] In step S403, it is determined to send the first model.

[0305] Optional implementations of step S4103 can refer to the optional implementations of step S3104 in FIG. 3A , step S3204 in FIG. 3B , and other related parts in the embodiments involved in FIG. 3A and FIG. 3B , which will not be described in detail here.

[0306] In step S404, the first information is sent.

[0307] Optional implementations of step S404 can refer to the optional implementations of step S3105 in FIG. 3A , step S3204 in FIG. 3B , and other related parts in the embodiments involved in FIG. 3A and FIG. 3B , which will not be described in detail here.

[0308] In some embodiments, the first network element 1021 may send the first information to the access network device 101 and / or the fourth network element 1024, but is not limited thereto and may also send the first information to other entities.

[0309] The communication method involved in the embodiments of the present disclosure may include at least one of steps S401 to S404. For example, step S402 may be implemented as an independent embodiment, step S404 may be implemented as an independent embodiment, and a combination of steps S402 and S404 may be implemented as an independent embodiment, but is not limited thereto.

[0310] In some embodiments, steps S401 , S403 , and S404 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0311] In some embodiments, steps S401 , S402 , and S403 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0312] FIG5 is an exemplary flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG5 , an embodiment of the present disclosure relates to a communication method. The communication method includes steps S501 to S503.

[0313] In step S501, sixth information is obtained.

[0314] Optional implementations of step S501 can refer to the optional implementations of step S3102 in FIG. 3A , step S3202 in FIG. 3B , and other related parts in the embodiments involved in FIG. 3A and FIG. 3B , which will not be described in detail here.

[0315] In some embodiments, the second network element 1022 may receive the sixth information sent by the third network element 1023 , but is not limited thereto and may also receive the sixth information sent by other entities.

[0316] In step S502, fourth information is obtained.

[0317] The optional implementation of step S502 can refer to the optional implementation of step S3106 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0318] In some embodiments, the second network element 1022 may receive fourth information sent by the access network device 101 and / or the fourth network element 1024, but is not limited thereto and may also receive fourth information sent by other entities.

[0319] In step S503, the fifth information is sent.

[0320] The optional implementation of step S503 can refer to the optional implementation of step S3107 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0321] In some embodiments, the second network element 1022 may send the fifth information to the access network device 101 and / or the fourth network element 1024, but is not limited thereto and may also send the fifth information to other entities.

[0322] The communication method involved in the embodiment of the present disclosure may include at least one of steps S501 to S503. For example, step S502 may be implemented as an independent embodiment, but is not limited thereto.

[0323] In some embodiments, steps S501 and S503 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0324] FIG6 is an exemplary flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG6 , an embodiment of the present disclosure relates to a communication method. The communication method includes steps S601 to S602.

[0325] In step S601, the sixth information is sent.

[0326] Optional implementations of step S601 can refer to the optional implementations of step S3102 in FIG. 3A , step S3202 in FIG. 3B , and other related parts in the embodiments involved in FIG. 3A and FIG. 3B , which will not be described in detail here.

[0327] In some embodiments, the third network element 1023 may send the sixth information to the second network element 1022, but is not limited thereto and may also send the sixth information to other entities.

[0328] In step S602, the second information is sent.

[0329] Optional implementations of step S602 can refer to the optional implementations of step S3103 in FIG. 3A , step S3203 in FIG. 3B , and other related parts in the embodiments involved in FIG. 3A and FIG. 3B , which will not be described in detail here.

[0330] In some embodiments, the third network element 1023 may send the second information to the first network element 1021 , but is not limited thereto and may also send the second information to other entities.

[0331] The communication method involved in the embodiment of the present disclosure may include at least one of steps S601 to S602. For example, step S602 may be implemented as an independent embodiment, but is not limited thereto.

[0332] In some embodiments, step S601 is optional and may be omitted or replaced in different embodiments.

[0333] FIG7 is an exemplary flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG7 , an embodiment of the present disclosure relates to a communication method. The communication method includes steps S701 to S704.

[0334] In step S701, the third information is sent.

[0335] Optional implementations of step S701 can refer to the optional implementations of step S3101 in FIG. 3A , step S3201 in FIG. 3B , and other related parts in the embodiments involved in FIG. 3A and FIG. 3B , which will not be described in detail here.

[0336] In some embodiments, the access network device 101 and / or the fourth network element 1024 may send the third information to the first network element 1021 , but is not limited thereto and the third information may also be sent to other entities.

[0337] In step S702, first information is obtained.

[0338] Optional implementations of step S702 can refer to the optional implementations of step S3105 in FIG. 3A , step S3205 in FIG. 3B , and other related parts in the embodiments involved in FIG. 3A and FIG. 3B , which will not be described in detail here.

[0339] In some embodiments, the access network device 101 and / or the fourth network element 1024 may receive the first information sent by the first network element 1021, but is not limited thereto and may also receive the first information sent by other entities.

[0340] In step S703, the fourth information is sent.

[0341] The optional implementation of step S703 can refer to the optional implementation of step S3106 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0342] In some embodiments, the access network device 101 and / or the fourth network element 1024 may send the fourth information to the second network element 1022 , but is not limited thereto and the fourth information may also be sent to other entities.

[0343] In step S704, the fifth information is obtained.

[0344] The optional implementation of step S704 can refer to the optional implementation of step S3107 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0345] In some embodiments, the access network device 101 and / or the fourth network element 1024 may receive the fifth information sent by the second network element 1022 , but is not limited thereto and may also receive the fifth information sent by other entities.

[0346] The communication method involved in the embodiments of the present disclosure may include at least one of steps S701 to S704. For example, step S702 may be implemented as an independent embodiment, step S703 may be implemented as an independent embodiment, and the combination of steps S702 and S703 may be implemented as an independent embodiment, but is not limited thereto.

[0347] In some embodiments, steps S701 , S703 , and S704 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0348] In some embodiments, steps S701 , S702 , and S704 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0349] FIG8A is an exemplary diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG8A , an embodiment of the present disclosure relates to a communication method. The communication method includes step S8101.

[0350] In step S8101, the first network element 1021 sends first information to the first device.

[0351] Optional implementations of step S8101 can refer to the optional implementations of step S3105 in Figure 3A, step S3205 in Figure 3B, and other related parts in the embodiments involved in Figures 3A and 3B, which will not be repeated here.

[0352] In some implementations, the first device may include at least one of the following: an access network device 101 , a fourth network element 1024 .

[0353] FIG8B is an exemplary diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG8B , an embodiment of the present disclosure relates to a communication method. The communication method includes step S8201.

[0354] In step S8201 , the first device sends fourth information to the second network element 1022 .

[0355] The optional implementation of step S8201 can refer to the optional implementation of step S3106 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0356] In some implementations, the first device may include at least one of the following: an access network device 101 , a fourth network element 1024 .

[0357] FIG8C is an exemplary diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG8C , an embodiment of the present disclosure relates to a communication method. The communication method includes step S8301.

[0358] In step S8301 , the third network element 1023 sends second information to the first network element 1021 .

[0359] Optional implementations of step S8301 can refer to the optional implementations of step S3103 in Figure 3A, step S3203 in Figure 3B, and other related parts in the embodiments involved in Figures 3A and 3B, which will not be repeated here.

[0360] In some embodiments, the above method may include the method described in the above embodiments related to the access network side, core network side, etc., which will not be repeated here.

[0361] Hereinafter, the embodiments of the present disclosure are exemplarily described through specific implementation methods.

[0362] Referring again to the architecture shown in FIG. 1B , the functions of the AIMF (ie, the first network element), the ADRF (ie, the second network element), the NWDAF (ie, the third network element), and the UDM are described.

[0363] In some embodiments, the AIMF may be a new network element that is responsible for the lifecycle management (LCM) of the AI ​​model (e.g., registration, selection, activation, deactivation, switching) and supports gNB (i.e., access network equipment) to subscribe to the AI ​​model update notification service.

[0364] In some embodiments, ADRF may be an enhanced function that is used to store trained AI models.

[0365] In some embodiments, NWDAF can be an enhanced function that is used to implement data collection and AI model training. In addition, NWDAF can also send AI model update notifications to AIMF.

[0366] In some embodiments, the UDM may be an enhanced function for storing subscription data related to the AI ​​model for the UE.

[0367] Figure 9 is a flow chart of an exemplary implementation of a communication method according to an embodiment of the present disclosure. As shown in Figure 9 , the communication method may exemplarily include steps S901 to S907.

[0368] In step S901, the gNB needs to subscribe to the AI ​​model update notification service from the AIMF.

[0369] In step S902 , after completing the training of the AI ​​model (ie, the first model), the NWDAF may upload the trained / updated AI model to the ADRF.

[0370] In step S903, after successfully uploading the AI ​​model, the NWDAF may send an AI model update notification to the AIMF. The AI ​​model update notification may include: ADRF ID (i.e., identification information of the second network element), AI model ID (i.e., identification information of the first model), or AI function ID (i.e., identification information of the model function of the first model).

[0371] In step S904, the AIMF may determine to deliver the trained / updated AI model to the gNB subscribed in step S901.

[0372] In step S905, the gNB may send an AI model update notification (i.e., first information) to the subscribed gNB directly or through the AMF (i.e., the fifth network element). The AI ​​model update notification may include: ADRF ID, AI model ID, or AI function ID.

[0373] In step S906, the gNB may trigger the sending of an AI model acquisition request to the ADRF. The AI ​​model acquisition request may include: gNB ID (i.e., identification information of the access network device), AI model ID, or AI function ID.

[0374] In step S907, the ADRF may send the requested AI model to the gNB directly or through the OAMF.

[0375] In the embodiments of the present disclosure, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with the optional implementations of other embodiments.

[0376] The embodiments of the present disclosure also provide a communication device for implementing any of the above methods. For example, the embodiments of the present disclosure also provide a communication device including units or modules for implementing each step performed by a network device (including an access network device, a first network element, a second network element, a third network element, a fourth network element, and a fifth network element) in any of the above methods.

[0377] It should be understood that the division of the various units or modules in the above devices 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 devices, 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.

[0378] 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, 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 a dedicated integrated circuit or a programmable logic device, 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.

[0379] FIG10 is an exemplary structural diagram of a communication device according to an embodiment of the present disclosure. As shown in FIG10 , the communication device 1000 may include at least one of the following: a transceiver module 1001 and a processing module 1002 .

[0380] In some embodiments, the communication device 1000 can be used to implement the first network element 1021. In some embodiments, the transceiver module 1001 can be configured to: send first information to the first device, wherein the first information is used to indicate the first model update. In some embodiments, the transceiver module 1001 can be configured to execute at least one of the communication steps such as sending and / or receiving (for example, steps S3101, S3103, S3105, S3201, S3203, S3205) performed by the first network element 1021 in any of the above methods, which are not repeated here. In some embodiments, the processing module 1002 can be configured to execute at least one of the other steps (for example, steps S3104, S3204) performed by the first network element 1021 in any of the above methods except the communication steps such as sending and / or receiving, which are not repeated here.

[0381] In some embodiments, the communication device 1000 can be used to implement the second network element 1022. In some embodiments, the transceiver module 1001 can be configured to receive fourth information sent by the first device, wherein the fourth information is used to request the first model, and the first model is stored on the second network element. In some embodiments, the transceiver module 1001 can be configured to perform at least one of the communication steps (e.g., steps S3102, S3106, S3107, and S3202) such as sending and / or receiving performed by the second network element 1022 in any of the above methods, which will not be further described here.

[0382] In some embodiments, the communication device 1000 can be used to implement the third network element 1023. In some embodiments, the transceiver module 1001 can be configured to send second information to the first network element, where the second information is used to indicate an update to the first model. In some embodiments, the transceiver module 1001 can be configured to perform at least one of the communication steps (e.g., steps S3102, S3103, S3202, and S3203) such as sending and / or receiving performed by the third network element 1023 in any of the above methods, which will not be further described here.

[0383] In some embodiments, the communication device 1000 can be used to implement the fourth network element 1024. In some embodiments, the transceiver module 1001 can be configured to receive first information sent by the first network element, where the first information is used to indicate a first model update. In some embodiments, the transceiver module 1001 can be configured to perform at least one of the communication steps (e.g., steps S3101, S3105, S3106, S3107, S3201, and S3205) of sending and / or receiving performed by the fourth network element 1024 in any of the above methods, which are not further described here.

[0384] In some embodiments, the communication apparatus 1000 can be used to implement the access network device 101. In some embodiments, the transceiver module 1001 can be configured to receive first information sent by a first network element, where the first information indicates a first model update. In some embodiments, the transceiver module 1001 can be configured to perform at least one of the communication steps (e.g., steps S3101, S3105, S3106, S3107, S3201, and S3205) performed by the access network device 101 in any of the above methods, which are not further described herein.

[0385] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module. The transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

[0386] Figure 11A is a schematic diagram of the structure of a communication device provided according to an embodiment of the present disclosure. Communication device 11100 can be an access network device or a core network device, or can be a chip, chip system, or processor that supports an access network device in implementing any of the above methods. It can also be a chip, chip system, or processor that supports a core network device in implementing any of the above methods. Communication device 11100 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.

[0387] As shown in Figure 11A, the communication device 11100 includes one or more processors 11101. The processor 11101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process the communication protocol and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process program data. Optionally, the communication device 11100 is used to perform any of the above methods. Optionally, one or more processors 11101 are used to call instructions to enable the communication device 11100 to perform any of the above methods.

[0388] In some embodiments, the communication device 11100 further includes one or more transceivers 11102. When the communication device 11100 includes one or more transceivers 11102, the transceiver 11102 performs at least one of the communication steps of sending and / or receiving in the above method (e.g., steps S3101, S3102, S3103, S3105, S3106, S3107, S3201, S3202, S3203, S3205, but not limited thereto). The processor 11101 performs at least one of the other steps (e.g., steps S3104, S3204). In an optional embodiment, the transceiver 11102 may include a receiver and / or a transmitter, and the receiver and transmitter may be separate or integrated. Optionally, terms such as transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, and interface can be replaced with each other, terms such as transmitter, transmitting unit, transmitter, and transmitting circuit can be replaced with each other, and terms such as receiver, receiving unit, receiver, and receiving circuit can be replaced with each other.

[0389] In some embodiments, the communication device 11100 further includes one or more memories 11103 for storing data. Alternatively, all or part of the memories 11103 may be located outside the communication device 11100. In alternative embodiments, the communication device 11100 may include one or more interface circuits 11104. Optionally, the interface circuits 11104 are connected to the memories 11103 and may be configured to receive data from the memories 11103 or other devices, or to send data to the memories 11103 or other devices. For example, the interface circuits 11104 may read data stored in the memories 11103 and send the data to the processor 11101.

[0390] The communication device 11100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 11100 described in the present disclosure is not limited thereto, and the structure of the communication device 11100 may not be limited to FIG. 11A. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0391] FIG11B is a schematic diagram of the structure of a chip provided according to an embodiment of the present disclosure. If the communication device 11100 can be a chip or a chip system, reference can be made to the schematic diagram of the structure of the chip 11200 shown in FIG11B , but the present invention is not limited thereto.

[0392] The chip 11200 includes one or more processors 11201. The chip 11200 is configured to execute any of the above methods.

[0393] In some embodiments, chip 11200 further includes one or more interface circuits 11202. Alternatively, the terms interface circuit, interface, and transceiver pins may be used interchangeably. In some embodiments, chip 11200 further includes one or more memories 11203 for storing data. Alternatively, all or part of memory 11203 may be located external to chip 11200. Optionally, interface circuit 11202 is connected to memory 11203. Interface circuit 11202 may be configured to receive data from memory 11203 or other devices, or to send data to memory 11203 or other devices. For example, interface circuit 11202 may read data stored in memory 11203 and send the data to processor 11201.

[0394] In some embodiments, the interface circuit 11202 performs at least one of the communication steps of sending and / or receiving in the above method (e.g., steps S3101, S3102, S3103, S3105, S3106, S3107, S3201, S3202, S3203, and S3205, but not limited thereto). The interface circuit 11202 performing the communication steps of sending and / or receiving in the above method, for example, means that the interface circuit 11202 performs data exchange between the processor 11201, the chip 11200, the memory 11203, or the transceiver device. In some embodiments, the processor 11201 performs at least one of the other steps (e.g., steps S3104 and S3204).

[0395] The modules and / or devices described in various embodiments, such as virtual devices, physical devices, and chips, can be arbitrarily combined or separated according to circumstances. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0396] The embodiments of the present disclosure further provide a storage medium having instructions stored thereon. When the instructions are executed on the communication device 11100, the communication device 11100 is caused to execute any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a temporary storage medium.

[0397] The embodiments of the present disclosure further provide a program product, which, when executed by the communication device 11100, enables the communication device 11100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0398] The embodiments of the present disclosure further provide a computer program, which, when executed on a computer, enables the computer to execute any of the above methods.

[0399] 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.

[0400] It should be understood that the present invention is not limited to the exact construction described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A communication method, performed by a first network element, wherein: The method comprises: First information is sent to a first device, where the first information is used to indicate a first model update.

2. The method according to claim 1, wherein The first information includes at least one of the following: identification information of the first model; identification information of the model function of the first model; the first model; Identification information of a second network element, wherein the first model is stored on the second network element.

3. The method according to claim 1 or 2, wherein: The method further comprises: Receive second information sent by a third network element, wherein the second information is used to indicate that the first model is updated.

4. The method according to claim 3, wherein: The second information includes at least one of the following: identification information of the first model; identification information of the model function of the first model; the first model; Identification information of a second network element, wherein the first model is stored on the second network element.

5. The method according to any one of claims 1 to 4, wherein The method further comprises: Determine to send the first model to the first device.

6. The method according to any one of claims 1 to 5, wherein The method further comprises: Receive third information sent by the first device, wherein the third information is used to subscribe to updates of the first model from the first network element.

7. The method according to claim 6, wherein: The third information includes at least one of the following: identification information of the first model; identification information of the model function of the first model; Identification information of the first device.

8. The method according to any one of claims 1 to 7, wherein The first model is an artificial intelligence model, a machine learning model or a trainable model.

9. The method according to any one of claims 1 to 8, wherein The first device includes at least one of the following: an access network device, a fourth network element.

10. A communication method, performed by a second network element, wherein: The method comprises: Receive fourth information sent by the first device, wherein the fourth information is used to request a first model, and the first model is stored on the second network element.

11. The method according to claim 10, wherein: The fourth information includes at least one of the following: identification information of the first model; identification information of the model function of the first model; Identification information of the first device.

12. The method according to claim 10 or 11, wherein: The method further comprises: Fifth information is sent to the first device, where the fifth information is used to indicate the first model.

13. The method according to any one of claims 10 to 12, wherein The method further comprises: Receive sixth information sent by a third network element, where the sixth information is used to indicate the first model.

14. The method according to any one of claims 10 to 13, wherein The first model is an artificial intelligence model, a machine learning model or a trainable model.

15. The method according to any one of claims 10 to 14, wherein The first device includes at least one of the following: an access network device, a fourth network element.

16. A communication method, performed by a third network element, wherein: The method comprises: Second information is sent to the first network element, where the second information is used to indicate that the first model is updated.

17. The method according to claim 16, wherein The second information includes at least one of the following: identification information of the first model; identification information of the model function of the first model; the first model; Identification information of a second network element, wherein the first model is stored on the second network element.

18. The method according to claim 16 or 17, wherein The method further comprises: Send sixth information to the second network element, wherein the sixth information is used to indicate the first model, and the first model is obtained through training.

19. The method according to any one of claims 16 to 18, wherein The first model is an artificial intelligence model, a machine learning model or a trainable model.

20. A communication method, performed by a first device, wherein: The method comprises: First information sent by a first network element is received, wherein the first information is used to indicate an update of a first model.

21. The method according to claim 20, wherein The first information includes at least one of the following: identification information of the first model; identification information of the model function of the first model; the first model; Identification information of a second network element, wherein the first model is stored on the second network element.

22. The method according to claim 20 or 21, wherein The method further comprises: Sending fourth information to the second network element, wherein the fourth information is used to request the first model, and the first model is stored on the second network element.

23. The method according to claim 22, wherein The fourth information includes at least one of the following: identification information of the first model; identification information of the model function of the first model; Identification information of the first device.

24. The method according to claim 22 or 23, wherein The method further comprises: Receive fifth information sent by the second network element, where the fifth information is used to indicate the first model.

25. The method according to any one of claims 20 to 24, wherein The first model is an artificial intelligence model, a machine learning model or a trainable model.

26. The method according to any one of claims 20 to 25, wherein The first device includes at least one of the following: an access network device, a fourth network element.

27. A communication method, applied to a core network, wherein: The core network includes a first network element and a third network element; The method comprises: The third network element sends second information to the first network element, wherein the second information is used to indicate that the first model is updated; The first network element determines to send the first model to the first device.

28. The method according to claim 27, wherein The core network further includes a second network element; The method further comprises: The third network element sends sixth information to the second network element, where the sixth information is used to indicate the first model.

29. A communication method comprising: The third network element sends second information to the first network element, wherein the second information is used to indicate that the first model is updated; The first network element sends first information to the first device, where the first information is used to indicate that the first model is updated.

30. The method according to claim 29, wherein The method further comprises: The first device sends fourth information to the second network element, wherein the fourth information is used to request the first model, and the first model is stored on the second network element; The second network element sends fifth information to the first device, where the fifth information is used to indicate the first model.

31. A first network element, comprising: The transceiver module is configured to send first information to the first device, wherein the first information is used to indicate the update of the first model.

32. A second network element, comprising: The transceiver module is configured to receive fourth information sent by the first device, wherein the fourth information is used to request the first model, and the first model is stored on the second network element.

33. A third network element, comprising: The transceiver module is configured to send second information to the first network element, wherein the second information is used to indicate that the first model is updated.

34. A fourth network element, comprising: The transceiver module is configured to receive first information sent by a first network element, wherein the first information is used to indicate an update of the first model.

35. An access network device comprising: The transceiver module is configured to receive first information sent by a first network element, wherein the first information is used to indicate an update of the first model.

36. A first network element, comprising: at least one processor; a memory storing instructions; When the instruction is executed by the first network element, the first network element implements the communication method according to any one of claims 1 to 9.

37. A second network element, comprising: at least one processor; a memory storing instructions; When the instruction is executed by the second network element, the second network element implements the communication method according to any one of claims 10 to 15.

38. A first network element, comprising: at least one processor; a memory storing instructions; When the instruction is executed by the third network element, the third network element implements the communication method according to any one of claims 16 to 19.

39. A fourth network element, comprising: at least one processor; a memory storing instructions; When the instruction is executed by the fourth network element, the fourth network element implements the communication method according to any one of claims 20 to 26.

40. An access network device, comprising: at least one processor; a memory storing instructions; When the instruction is executed by the access network device, the access network device implements the communication method according to any one of claims 20 to 26.

41. A communication system comprising: A first network element, configured to implement the communication method according to any one of claims 1 to 9; A first device is configured to implement the communication method according to any one of claims 20 to 26.

42. A storage medium storing instructions, wherein: When the instruction is executed on a communication device, the communication device is caused to execute the communication method according to any one of claims 1 to 30.

43. A computer program product comprising instructions, wherein: When the instructions are executed by a processor, the communication method according to any one of claims 1 to 30 is implemented.

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