Communication method, access network device, network element, communication system, and storage medium

Abstract

Embodiments of the present disclosure provide a communication method, an access network device, a network element, a communication system, and a storage medium. The communication method comprises: sending first information to a first device, the first information being used for indicating a switch from a first model to a second model. By means of the embodiments of the present disclosure, switching of an AI model used for inference on an access network device and / or a core network element can be achieved.

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 elements, a communication system, and a storage medium. 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 propose a communication method, access network equipment, network element, communication system and storage medium, so as to realize the switching of AI models used for reasoning.

[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 switch from a first model to a second model.

[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 first device. The communication method includes receiving first information sent by a first network element, wherein the first information is used to indicate a switch from a first model to a second model.

[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: receiving third information sent by a first device, wherein the third information is used to request a second model; and sending fourth information to the first device, wherein the fourth information is used to indicate the second 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 fourth network element. The communication method includes receiving fifth information sent by a first device, wherein the fifth information is used to indicate switching from a first model to a second model.

[0009] According to a fifth aspect of an embodiment of the present disclosure, a communication method is provided, which includes: a first network element sending first information to a first device, wherein the first information is used to indicate a switch from a first model to a second model.

[0010] According to a sixth 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 switch from a first model to a second model.

[0011] According to a seventh aspect of an embodiment of the present disclosure, a second 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 switching from a first model to a second model.

[0012] According to an eighth aspect of an embodiment of the present disclosure, a third network element is provided. The third network element includes: a transceiver module configured to receive third information sent by a first device, wherein the third information is used to request a second model; and send fourth information to the first device, wherein the fourth information is used to indicate the second model.

[0013] According to a ninth aspect of the embodiments of the present disclosure, a fourth network element is provided, comprising: a transceiver module configured to receive fifth information sent by a first device, wherein the fifth information is used to instruct switching from the first model to the second model.

[0014] According to a tenth aspect of an embodiment 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 switching from a first model to a second model.

[0015] According to an eleventh aspect of the embodiments 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.

[0016] According to a twelfth 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.

[0017] According to a thirteenth 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 third network element executes the instructions, the third network element implements the communication method described in the third aspect.

[0018] According to a fourteenth 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.

[0019] According to a fifteenth 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 second aspect.

[0020] According to a sixteenth aspect of the embodiments of the present disclosure, a communication system is provided, which includes: a first network element configured to implement the communication method described in the first aspect; and a first device configured to implement the communication method described in the second aspect.

[0021] According to a seventeenth 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 fifth aspects.

[0022] According to an eighteenth 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 fifth aspects.

[0023] According to a nineteenth aspect of the present disclosure, a computer program is provided, which, when executed on a computer, causes the computer to execute the communication method according to any one of the first to fifth aspects.

[0024] According to a twentieth aspect 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 described in any one of the first to fifth aspects.

[0025] Through the embodiments of the present disclosure, it is possible to switch the AI ​​model used for reasoning on access network devices and / or core network elements.

[0026] 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

[0027] 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.

[0028] FIG1A is a schematic diagram of the architecture of a communication system provided according to an embodiment of the present disclosure.

[0029] FIG1B is a schematic diagram of an architecture of an implementation of a communication system provided according to an embodiment of the present disclosure.

[0030] FIG2A is a schematic diagram of an AI functional framework based on a communication system.

[0031] FIG2B is a schematic diagram of an ML model-based communication system providing architecture.

[0032] FIG3A is an exemplary interaction diagram of a communication method provided according to an embodiment of the present disclosure.

[0033] FIG3B is an exemplary interaction diagram of a communication method provided according to an embodiment of the present disclosure.

[0034] FIG4 is an exemplary flowchart of a communication method provided according to an embodiment of the present disclosure.

[0035] FIG5 is an exemplary flowchart of a communication method provided according to an embodiment of the present disclosure.

[0036] FIG6 is an exemplary flowchart of a communication method provided according to an embodiment of the present disclosure.

[0037] FIG7 is an exemplary flowchart of a communication method provided according to an embodiment of the present disclosure.

[0038] FIG8A is an illustrative diagram of a communication method according to an embodiment of the present disclosure.

[0039] FIG8B is an illustrative diagram of a communication method according to an embodiment of the present disclosure.

[0040] FIG8C is an illustrative diagram of a communication method according to an embodiment of the present disclosure.

[0041] FIG9 is a flowchart illustrating an exemplary implementation of a communication method according to an embodiment of the present disclosure.

[0042] FIG10 is an exemplary structural diagram of a communication device provided according to an embodiment of the present disclosure.

[0043] FIG11A is a schematic structural diagram of a communication device according to an embodiment of the present disclosure.

[0044] FIG11B is a schematic structural diagram of a chip provided according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0045] Embodiments of the present disclosure provide a communication method, access network equipment, network element, communication system, and storage medium.

[0046] In a first aspect, embodiments of the present disclosure provide 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 switch from a first model to a second model.

[0047] According to this embodiment, by sending first information to the first device to instruct to switch the model, the first device can learn and perform the switch from the first model to the second model.

[0048] 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; identification information of the second model; identification information of the model function of the second model; second model.

[0049] According to this embodiment, the first information may include one or more of the following: identification information of the first model, identification information of the model function of the first model, identification information of the second model, and identification information of the model function of the second model. Thus, after receiving the first information, the first device can know that the model has been switched from the first model to the second model. Furthermore, the first information may also include the second model. In this case, the first device can directly obtain the switched model, thereby implementing reasoning based on the second model.

[0050] In combination with some embodiments of the first aspect, in some embodiments, the above communication method may further include: determining to trigger the first device to switch from the model to the second model.

[0051] According to this embodiment, the first network element may determine whether to perform model switching. In this way, when it is determined that the second model needs to be used for inference, the first device may be notified of the switch from the first model to the second model.

[0052] In combination with some embodiments of the first aspect, in some embodiments, the above-mentioned communication method may further include: receiving second information sent by the first device, wherein the second information is used to indicate a result of switching from the first model to the second model.

[0053] According to this embodiment, the first network element may obtain the result of the model switching from the first device, so that the first network element can determine whether the model switching is successful.

[0054] In combination with some embodiments of the first aspect, in some embodiments, each of the first model and the second model can be an artificial intelligence model, a machine learning model, or a trainable model.

[0055] 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 second network element.

[0056] In a second 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 is used to indicate a switch from a first model to a second model.

[0057] According to this embodiment, by receiving the first information indicating the model switching, the first device is enabled to learn and perform the switching from the first model to the second model.

[0058] In combination with some embodiments of the second 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; identification information of the second model; identification information of the model function of the second model; second model.

[0059] In combination with some embodiments of the second aspect, in some embodiments, the above-mentioned communication method may also include: sending third information to a third network element, wherein the third information is used to request the second model; and receiving fourth information sent by the third network element, wherein the fourth information is used to indicate the second model.

[0060] In combination with some embodiments of the second aspect, in some embodiments, the third information may include at least one of the following: identification information of the second model; identification information of the model function of the second model; identification information of the first device.

[0061] In combination with some embodiments of the second aspect, in some embodiments, the above-mentioned communication method may further include: sending fifth information to the fourth network element, wherein the fifth information is used to indicate switching from the first model to the second model.

[0062] In combination with some embodiments of the second aspect, in some embodiments, the fifth 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 second model; identification information of the model function of the second model.

[0063] In combination with some embodiments of the second aspect, in some embodiments, each of the first model and the second model can be an artificial intelligence model, a machine learning model, or a trainable model.

[0064] 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 second network element.

[0065] In a third aspect, embodiments of the present disclosure provide a communication method. This communication method may be performed by a third network element. The communication method includes: receiving third information sent by a first device, wherein the third information is used to request a second model; and sending fourth information to the first device, wherein the fourth information is used to indicate the second model.

[0066] According to this embodiment, the third information can be used to request the third network element to obtain the model after switching, i.e., the second model. The second model is stored on the third network element. Thus, upon receiving the third information, the second network element can send the fourth information to distribute the second model.

[0067] In combination with some embodiments of the third aspect, in some embodiments, the third information may include at least one of the following: identification information of the second model; identification information of the model function of the second model; identification information of the first device, wherein the first device is used to implement reasoning based on the second model.

[0068] In combination with some embodiments of the third aspect, in some embodiments, the second model may be an artificial intelligence model, a machine learning model, or a trainable model.

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

[0070] In a fourth aspect, embodiments of the present disclosure provide a communication method. The communication method may be performed by a fourth network element. The communication method includes receiving fifth information sent by a first device, wherein the fifth information is used to indicate switching from a first model to a second model.

[0071] According to this embodiment, the first device may notify the fourth network element to switch from the first model to the second model through the fifth information. Then, the fourth network element may adjust the data for inference provided to the first device to adapt to the second model.

[0072] In combination with some embodiments of the fourth aspect, in some embodiments, the fifth 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 second model; identification information of the model function of the second model.

[0073] In combination with some embodiments of the fourth aspect, in some embodiments, each of the first model and the second model can be an artificial intelligence model, a machine learning model or a trainable model.

[0074] 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 second network element.

[0075] In a fifth aspect, an embodiment of the present disclosure provides a communication method, which may include: a first network element sending first information to a first device, wherein the first information is used to indicate a switch from a first model to a second model.

[0076] In combination with some embodiments of the fifth aspect, in some embodiments, the above method may also include: the first device sends third information to the third network element, wherein the third information is used to request the second model; the third network element sends fourth information to the first device, wherein the fourth information is used to indicate the second model.

[0077] In a sixth 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 switch from a first model to a second model.

[0078] In combination with some embodiments of the sixth 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; identification information of the second model; identification information of the model function of the second model; second model.

[0079] In combination with some embodiments of the sixth aspect, in some embodiments, the first network element may further include: a processing module configured to determine to trigger switching of the first device from the model to the second model.

[0080] In combination with some embodiments of the sixth aspect, in some embodiments, the transceiver module can also be configured to: receive second information sent by the first device, wherein the second information is used to indicate the switching result from the first model to the second model.

[0081] In combination with some embodiments of the sixth aspect, in some embodiments, each of the first model and the second model can be an artificial intelligence model, a machine learning model, or a trainable model.

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

[0083] In a seventh aspect, an embodiment of the present disclosure provides a second network element, comprising: a transceiver module configured to receive first information sent by a first network element, wherein the first information is used to indicate a switch from a first model to a second model.

[0084] 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; identification information of the second model; identification information of the model function of the second model; second model.

[0085] In combination with some embodiments of the seventh aspect, in some embodiments, the transceiver module can also be configured to: send third information to a third network element, wherein the third information is used to request the second model; and receive fourth information sent by the third network element, wherein the fourth information is used to indicate the second model.

[0086] 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 second model; identification information of the model function of the second model; identification information of the first device.

[0087] In combination with some embodiments of the seventh aspect, in some embodiments, the transceiver module can also be configured to: send fifth information to the fourth network element, wherein the fifth information is used to indicate switching from the first model to the second model.

[0088] In combination with some embodiments of the seventh aspect, in some embodiments, the fifth 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 second model; identification information of the model function of the second model.

[0089] In combination with some embodiments of the seventh aspect, in some embodiments, each of the first model and the second model can be an artificial intelligence model, a machine learning model, or a trainable model.

[0090] In an eighth aspect, embodiments of the present disclosure provide a third network element, comprising: a transceiver module configured to receive third information sent by a first device, wherein the third information is used to request a second model; and to send fourth information to the first device, wherein the fourth information is used to indicate the second model.

[0091] In combination with some embodiments of the eighth aspect, in some embodiments, the third information may include at least one of the following: identification information of the second model; identification information of the model function of the second model; identification information of the first device, wherein the first device is used to implement reasoning based on the second model.

[0092] In combination with some embodiments of the eighth aspect, in some embodiments, the second model may be an artificial intelligence model, a machine learning model, or a trainable model.

[0093] 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 second network element.

[0094] In a ninth aspect, an embodiment of the present disclosure provides a fourth network element, comprising: a transceiver module configured to receive fifth information sent by a first device, wherein the fifth information is used to instruct switching from the first model to the second model.

[0095] In combination with some embodiments of the ninth aspect, in some embodiments, the fifth 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 second model; identification information of the model function of the second model.

[0096] In combination with some embodiments of the ninth aspect, in some embodiments, each of the first model and the second model can be an artificial intelligence model, a machine learning model or a trainable model.

[0097] In combination with some embodiments of the ninth aspect, in some embodiments, the first device may include at least one of the following: an access network device; a second network element.

[0098] In a tenth 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 switching from a first model to a second model.

[0099] In combination with some embodiments of the tenth 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; identification information of the second model; identification information of the model function of the second model; second model.

[0100] In combination with some embodiments of the tenth aspect, in some embodiments, the transceiver module can also be configured to: send third information to a third network element, wherein the third information is used to request the second model; and receive fourth information sent by the third network element, wherein the fourth information is used to indicate the second model.

[0101] In combination with some embodiments of the tenth aspect, in some embodiments, the third information may include at least one of the following: identification information of the second model; identification information of the model function of the second model; identification information of the first device.

[0102] In combination with some embodiments of the tenth aspect, in some embodiments, the transceiver module can also be configured to: send fifth information to the fourth network element, wherein the fifth information is used to indicate switching from the first model to the second model.

[0103] In combination with some embodiments of the tenth aspect, in some embodiments, the fifth 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 second model; identification information of the model function of the second model.

[0104] In combination with some embodiments of the tenth aspect, in some embodiments, each of the first model and the second model can be an artificial intelligence model, a machine learning model, or a trainable model.

[0105] In an eleventh 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 first network element executes the instructions, the first network element implements the communication method as described in any one of the first aspect and possible implementations thereof.

[0106] In a twelfth 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.

[0107] In a thirteenth aspect, an embodiment of the present disclosure provides 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.

[0108] In a fourteenth 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.

[0109] In a fifteenth 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. When executed by the access network device, the instructions enable the access network device to implement the communication method described in the second aspect and any one of its possible implementations.

[0110] In a sixteenth aspect, embodiments of the present disclosure provide a communication system. The communication system includes: a first network element configured to implement the communication method as described in the first aspect and any one of its possible implementations; and a first device configured to implement the communication method as described in the second aspect and any one of its possible implementations.

[0111] In a seventeenth 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 aspect, the second aspect, the third aspect, the fourth aspect, the fifth aspect, and any possible implementations thereof.

[0112] In an eighteenth aspect, an embodiment of the present disclosure provides a program product. When the program product is executed by a communication device, the communication device 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, and any possible implementations thereof.

[0113] In a nineteenth 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, and any possible implementations thereof.

[0114] In a twentieth 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 aspect, the second aspect, the third aspect, the fourth aspect, the fifth aspect, and any possible implementations thereof.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] In the embodiments of the present disclosure, “plurality” refers to two or more than two.

[0122] In some embodiments, the terms "at least one", "one or more", etc. can be used interchangeably.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] In some embodiments, "network" can be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

[0131] 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.

[0132] 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.

[0133] 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.

[0134] 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.

[0135] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0136] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0137] 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.

[0138] 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 .

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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 include all or part of the first network element 1021, 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).

[0143] In some embodiments, the first network element 1021 may be, for example, an AI management function (AIMF).

[0144] 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.

[0145] In some embodiments, the second network element 1022 can be used to deploy an AI model thereon and use the deployed AI model, without limitation to this.

[0146] In some embodiments, the third network element 1023 may be, for example, an analytics data repository function (ADRF).

[0147] In some embodiments, the third network element 1023 can be used to store collected data and analysis, and store AI models, but the name is not limited to this.

[0148] In some embodiments, the fourth network element 1024 may be, for example, a network data analytics function (NWDAF).

[0149] In some embodiments, the fourth network element 1024 can be used to support data collection and implement AI model updates, but the name is not limited to this.

[0150] In some embodiments, the fifth network element 1025 may be, for example, an access and mobility management function (AMF).

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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.

[0156] 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.

[0157] 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 outside of 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.

[0158] 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).

[0159] Based on AI network architectures, the integration of communication networks and AI technologies is advancing. 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) can support AI / ML operations at the application layer.

[0160] 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.

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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).

[0168] In some embodiments, AnLF can perform inference, obtain analytical information, and expose analytical services.

[0169] In some embodiments, the MTLF can train ML models and expose new training services (e.g., provide trained ML models).

[0170] 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 devices (e.g., base stations) or core network elements. Core network devices or elements can implement reasoning using different models as needed. Therefore, it is necessary to switch the model used for reasoning in the core network devices or core network elements.

[0171] 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 S3108.

[0172] In step S3101 , the first network element 1021 determines model switching.

[0173] In some scenarios, model switching can be interpreted as the first network element 1021 determining that the model currently applied by the first device (eg, an AI model) needs to be switched to another model.

[0174] In some embodiments, the first network element 1021 may determine to trigger the model switching. It is understandable that after the first network element 1021 determines to trigger the model switching, it may perform subsequent operations.

[0175] In some embodiments, the first network element 1021 may determine to trigger the first device to switch from the first model to the second model.

[0176] In some embodiments, the first model may be referred to as a source model. In other words, the first model may be a model used by the first device to implement reasoning before the model switching.

[0177] In some embodiments, the first model may be one of the following types: an AI model, an ML model, a trainable model.

[0178] In some embodiments, the second model may be referred to as a target model. In other words, the second model may be the model used by the first device to implement reasoning after the model switch.

[0179] In some embodiments, the second model can be one of the following types: AI model, ML model, trainable model.

[0180] In some embodiments, the type of the first model and the type of the second model may be the same or different.

[0181] In some embodiments, the reasoning function implemented by the first model and / or the second model on the first network element 1021 may include at least one of the following: data analysis, processing, prediction, and optimization. It is understood that the first model and / or the second model may also be used to implement other functions, which are not specifically limited in the present embodiment.

[0182] In some embodiments, model switching may be determined based on at least one of: policy, service provider requirements, and application requirements.

[0183] In some embodiments, the policy may include a policy configured for inference of the first device.

[0184] In some embodiments, policies may be locally configured or may be obtained from other networks or devices.

[0185] In some embodiments, the service provider requirements may include requirement information related to the service provider.

[0186] In some embodiments, the application requirements may include requirement information from an application function (AF) or other network elements.

[0187] In some embodiments, the first network element 1021 may be, for example, an AI management function (AIMF).

[0188] 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.

[0189] In step S3102, the first network element 1021 sends first information to the first device.

[0190] In some embodiments, the first device may receive the first information, for example, receive the first information sent by the first network element 1021 .

[0191] In some embodiments, the first information may be used to indicate a switch from the first model to the second model. When the first device receives the first information, the first device determines that a switch from the first model to the second model needs to be performed.

[0192] It should be understood that in some cases, there may be multiple first devices, and the first network element 1021 may select a corresponding first device and send the first information to it. Moreover, when there are multiple first devices, the first information sent by the first network element 1021 to different first devices may be the same or different.

[0193] In some embodiments, the name of the first information is not limited. For example, it can be an AI model switching request, switching indication information, model switching information, etc.

[0194] In some embodiments, the first information may include at least one of the following: identification information of the first model, identification information of a model function of the first model, identification information of the second model, and identification information of the model function of the second model. When the first device obtains the first information, the first device can know the identification information and function of the model before and after the switching, thereby performing the model switching.

[0195] In some embodiments, the identification information of the first model may be used to identify the first model. In some embodiments, the identification information of the first model may include an identifier of the first model.

[0196] In some embodiments, the identification information of the model function of the first model may be used to identify the first model. In some embodiments, the identification information of the model function of the first model may include an identifier of the model function of the first model.

[0197] In some embodiments, the identification information of the second model may be used to identify the first model. In some embodiments, the identification information of the second model may include an identifier of the second model.

[0198] In some embodiments, the identification information of the model function of the second model may be used to identify the second model. In some embodiments, the identification information of the model function of the second model may include an identifier of the model function of the second model.

[0199] In some embodiments, the first device may perform inference based on the first model and / or the second model.

[0200] In some embodiments, the first device may include an access network device 101 .

[0201] In some embodiments, the first device may include a second network element 1022. It is understandable that the second network element 1022 may be a network element inside or outside the core network 102.

[0202] In step S3103 , the first device sends fifth information to the fourth network element 1024 .

[0203] In some embodiments, the fourth network element 1024 may receive the fifth information.

[0204] In some embodiments, the fifth information may be used to indicate switching from the first model to the second model.

[0205] In some embodiments, the sixth information may be used to instruct to provide inference data related to the second model.

[0206] In some embodiments, the name of the fifth information is not limited. For example, it can be switching indication information, AI reasoning data update request, data update request, data update indication information, etc.

[0207] In some embodiments, the fifth 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 second model, identification information of the model function of the second model.

[0208] In some embodiments, when the inference data used for inference of the second model is provided by the fourth network element 1024 , the first device may send the fifth information to the fourth network element 1024 .

[0209] In some embodiments, when the inference data used for inference of the second model is provided locally by the first device, step S3103 and the subsequent step S3104 may not be performed.

[0210] In some embodiments, the fourth network element 1024 may be, for example, a network data analytics function (NWDAF).

[0211] In some embodiments, the fourth network element 1024 can be used to support data collection and implement AI model updates, but the name is not limited to this.

[0212] In step S3104, the fourth network element 1024 sends sixth information to the first device.

[0213] In some embodiments, the fourth network element 1024 may send sixth information to the first device in response to the fifth information.

[0214] In some embodiments, the first device may receive sixth information.

[0215] In some embodiments, the sixth information may be used to indicate completion of switching from the first model to the second model.

[0216] In some embodiments, the name of the sixth information is not limited. For example, it can be a switching completion indication, an AI reasoning data update response, a data update response, a data update confirmation message, etc.

[0217] In step S3105 , the first device sends third information to the third network element 1023 .

[0218] In some embodiments, the third network element 1023 may receive third information.

[0219] In some embodiments, the third information may be used to request the second model.

[0220] In some embodiments, the third information may be used to instruct the third network element 1023 to provide the second model.

[0221] In some embodiments, the name of the third information is not limited. For example, it can be an AI model acquisition request, model acquisition information, etc.

[0222] In some embodiments, the third information may include at least one of the following: identification information of the second model, identification information of a model function of the second model, and identification information of the first device.

[0223] In some embodiments, the identification information of the first device may be used to identify the first device.

[0224] In some embodiments, the identification information of the first device may include identification information of the access network device 101 .

[0225] In some embodiments, the identification information of the first device may include identification information of the second network element 1022 .

[0226] In some embodiments, upon receiving the first information, the first device may determine whether it has the second model. In other words, the first device may determine whether the second model is available. If the second model is not available, the first device may send the third information. If the second model is available, step S3105 and the subsequent step S3106 may not be performed.

[0227] In some embodiments, the third network element 1023 may be, for example, an analytics data repository function (ADRF).

[0228] In some embodiments, the third network element 1023 can be used to store collected data and analysis, and store AI models, but the name is not limited to this.

[0229] In step S3106, the third network element 1023 sends fourth information to the first device.

[0230] In some embodiments, the first device may receive fourth information.

[0231] In some embodiments, the fourth information may be used to indicate the second model.

[0232] In some embodiments, the fourth information may carry the second model.

[0233] In some embodiments, the fourth information may include model parameters of the second model.

[0234] In some embodiments, the second model may be stored in the third network element 1023 and carried in the fourth information according to the third information.

[0235] In some embodiments, the name of the fourth information is not limited. For example, it can be an AI model response, model information, model provided information, model configuration information, etc.

[0236] In some embodiments, the third network element 1023 may send the fourth information to the first device via the control plane. In one example, the first device may be the access network device 101, and the third network element 1023 may send the fourth information to the access network device 101 via the control plane. In another example, the first device may be the sixth network element 1026, and the third network element 1023 may send the fourth information to the sixth network element 1026 via the control plane.

[0237] In some embodiments, the third network element 1023 may send the fourth information to the first device via the user. In one example, the first device may be the access network device 101, and the third network element 1023 may send the fourth information to the access network device 101 via the user.

[0238] In step S3107, the first device performs model switching.

[0239] In some embodiments, the first device may switch from the first model to the second model based on the first information, so that the first device may perform reasoning using the second model.

[0240] In some embodiments, if the second model is available in the first device, the first device can switch directly from the first model to the second model.

[0241] In some embodiments, if the second model is not available in the first device, the first device may obtain the second model based on the fourth information and switch from the first model to the second model.

[0242] In step S3108 , the first device sends second information to the first network element 1021 .

[0243] In some embodiments, after completing the model switching, the first device may send second information to the first network element 1021 .

[0244] In some embodiments, the first network element 1021 may receive the second information.

[0245] In some embodiments, the second information may be used to indicate a result of switching from the first model to the second model.

[0246] In some embodiments, the name of the second information is not limited. For example, it can be an AI model switching request, switching indication information, model switching information, etc.

[0247] In some embodiments, the second information may be used to indicate that the switch from the first model to the second model is successful.

[0248] It is understandable that the model switching of the first device may fail. In the event of a model switching failure, the second information may be used to indicate the failure to switch from the first model to the second model. In some embodiments, in the event of a model switching failure, the second information may include a reason for the failure to switch from the first model to the second model.

[0249] In some embodiments, the first device may send the second information directly to the first network element 1021 .

[0250] In some embodiments, the first device may send the second information to the first network element 1021 through the fifth network element 1025. In one example, the second network element may send the second information to the fifth network element 1025, and the fifth network element 1025 may send the received second information to the first network element 1021.

[0251] The communication method according to the embodiments of the present disclosure may include at least one of steps S3101 to S3108. For example, step S3102 may be implemented as an independent embodiment, step S3103 may be implemented as an independent embodiment, step S3106 may be implemented as an independent embodiment, the combination of steps S3102 and S3103 may be implemented as an independent embodiment, the combination of steps S3102 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.

[0252] In some embodiments, steps S3101, S3103, S3104, S3105, S3106, S3107, and S3108 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0253] In some embodiments, steps S3101, S3102, S3104, S3105, S3106, S3107, and S3108 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0254] In some embodiments, steps S3101, S3102, S3103, S3104, S3105, S3107, and S3108 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0255] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 3A .

[0256] 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 S3206.

[0257] In step S3201 , the first network element 1021 determines model switching.

[0258] 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.

[0259] In step S3202, the first network element 1021 sends first information to the first device.

[0260] 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.

[0261] 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, identification information of the second model, identification information of the model function of the second model.

[0262] In some embodiments, the first information may include the second model. In other words, the first information may carry the second model.

[0263] In some embodiments, the first information may include identification information of the second model, and the second model.

[0264] In some embodiments, the second information may include identification information of a model function of the second model, and the second model.

[0265] In some embodiments, the second information may include identification information of the second model, identification information of a model function of the second model, and the second model.

[0266] In some embodiments, the second information may include model parameters of the second model.

[0267] In step S3203 , the first device sends fifth information to the fourth network element 1024 .

[0268] 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.

[0269] In step S3204, the fourth network element 1024 sends sixth information to the first device.

[0270] 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.

[0271] In step S3205, the first device performs model switching.

[0272] The optional implementation of step S3205 can refer to the optional implementation of step S3107 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0273] In step S3206 , the first device sends second information to the first network element 1021 .

[0274] The optional implementation of step S3206 can refer to the optional implementation of step S3108 in FIG3A and other related parts in the embodiment involved in FIG3A , which will not be described in detail here.

[0275] The communication method according to the embodiments of the present disclosure may include at least one of steps S3201 to S3206. For example, step S3202 may be implemented as an independent embodiment, step S3203 may be implemented as an independent embodiment, and a combination of steps S3202 and S3203 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0276] In some embodiments, steps S3201, S3203, S3204, S3205, and S3206 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0277] In some embodiments, steps S3201, S3202, S3204, S3205, and S3206 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0278] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 3B .

[0279] 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.

[0280] In some embodiments, the terms "radio", "wireless", "radio access network (RAN)", "access network (AN)", "RAN-based" and the like may be used interchangeably.

[0281] 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.

[0282] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0283] 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.

[0284] 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 S403.

[0285] In step S401 , model switching is determined.

[0286] 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.

[0287] In step S402, first information is sent.

[0288] Optional implementations of step S402 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.

[0289] In some embodiments, the first network element 1021 may send the first information to the access network device 101 and / or the second network element 1022 , but is not limited thereto and may also send the first information to other entities.

[0290] In step S403, the second information is obtained.

[0291] Optional implementations of step S403 can refer to the optional implementations of step S3108 in FIG. 3A , step S3206 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.

[0292] In some embodiments, the first network element 1021 may receive the second information sent by the access network device 101 and / or the second network element 1022, but is not limited thereto and may also receive the second information sent by other entities.

[0293] The communication method involved in the embodiment of the present disclosure may include at least one of steps S401 to S403. For example, step S402 may be implemented as an independent embodiment, but is not limited thereto.

[0294] In some embodiments, steps S401 and S403 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0295] 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 S507.

[0296] In step S501, first information is obtained.

[0297] 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.

[0298] In some embodiments, the access network device 101 and / or the second network element 1022 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.

[0299] In step S502, the fifth information is sent.

[0300] Optional implementations of step S502 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.

[0301] In some embodiments, the access network device 101 and / or the second network element 1022 may send the fifth information to the fourth network element 1024 , but is not limited thereto and the fifth information may also be sent to other entities.

[0302] In step S503, the sixth information is obtained.

[0303] Optional implementations of step S503 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.

[0304] In some embodiments, the access network device 101 and / or the second network element 1022 may receive the sixth information sent by the fourth network element 1024, but is not limited thereto and may also receive the sixth information sent by other entities.

[0305] In step S504, the third information is sent.

[0306] The optional implementation of step S504 can refer to the optional implementation of step S3105 in FIG3A and other related parts in the embodiment involved in FIG3A , which will not be described in detail here.

[0307] In some embodiments, the access network device 101 and / or the second network element 1022 may send the third information to the third network element 1023 , but is not limited thereto and the third information may also be sent to other entities.

[0308] In step S505, fourth information is obtained.

[0309] The optional implementation of step S505 can refer to the optional implementation of step S3106 in FIG3A and other related parts in the embodiment involved in FIG3A , which will not be described in detail here.

[0310] In some embodiments, the access network device 101 and / or the second network element 1022 may receive the fourth information sent by the third network element 1023 , but is not limited thereto and may also receive the fourth information sent by other entities.

[0311] In step S506 , model switching is performed.

[0312] Optional implementations of step S506 can refer to the optional implementations of step S3107 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.

[0313] In step S507, the second information is sent.

[0314] Optional implementations of step S507 can refer to the optional implementations of step S3108 in FIG. 3A , step S3206 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 access network device 101 and / or the second network element 1022 may send the second information to the first network element 1021 , but is not limited thereto and the second information may also be sent to other entities.

[0316] The communication method according to the embodiments of the present disclosure may include at least one of steps S501 to S507. For example, step S501 may be implemented as an independent embodiment, step S502 may be implemented as an independent embodiment, step S505 may be implemented as an independent embodiment, the combination of steps S501 and S502 may be implemented as an independent embodiment, and the combination of steps S501 and S505 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0317] In some embodiments, steps S502, S503, S504, S505, S506, and S507 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0318] In some embodiments, steps S501, S503, S504, S505, S506, and S507 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0319] In some embodiments, steps S501, S502, S503, S504, S506, and S507 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0320] 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.

[0321] In step S601, third information is obtained.

[0322] The optional implementation of step S601 can refer to the optional implementation of step S3105 in FIG3A and other related parts in the embodiment involved in FIG3A , which will not be described in detail here.

[0323] In some embodiments, the third network element 1023 may receive third information sent by the access network device 101 and / or the second network element 1022, but is not limited thereto and may also receive third information sent by other entities.

[0324] In step S602, the fourth information is sent.

[0325] The optional implementation of step S602 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.

[0326] In some embodiments, the third network element 1023 may send the fourth information to the access network device 101 and / or the second network element 1022, but is not limited thereto and may also send the fourth information to other entities.

[0327] 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.

[0328] In some embodiments, step S601 is optional and may be omitted or replaced in different embodiments.

[0329] 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 S702.

[0330] In step S701, fifth information is obtained.

[0331] Optional implementations of step S701 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.

[0332] In some embodiments, the fourth network element 1024 may receive the fifth information sent by the access network device 101 and / or the second network element 1022, but is not limited thereto and may also receive the fifth information sent by other entities.

[0333] In step S702, the sixth information is sent.

[0334] Optional implementations of step S702 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.

[0335] In some embodiments, the fourth network element 1024 may send the sixth information to the access network device 101 and / or the second network element 1022 , but is not limited thereto and may also send the sixth information to other entities.

[0336] The communication method involved in the embodiment of the present disclosure may include at least one of step S701 to step S702. For example, step S701 may be implemented as an independent embodiment, but is not limited thereto.

[0337] In some embodiments, step S702 is optional and may be omitted or replaced in different embodiments.

[0338] 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.

[0339] In step S8101, the first network element 1021 sends first information to the first device.

[0340] Optional implementations of step S8101 can refer to the optional implementations of step S3102 in Figure 3A, step S3202 in Figure 3B, and other related parts in the embodiments involved in Figures 3A and 3B, which will not be repeated here.

[0341] In some implementations, the first device may include at least one of the following: an access network device 101 , a second network element 1022 .

[0342] 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 steps S8201 and S8202.

[0343] In step S8201, the first device sends third information to the third network element 1023.

[0344] The optional implementation of step S8201 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.

[0345] In step S8202, the third network element 1023 sends fourth information to the first device.

[0346] The optional implementation of step S8202 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.

[0347] 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.

[0348] In step S8301, the first device sends fifth information to the fourth network element 1024.

[0349] 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.

[0350] In some implementations, the first device may include at least one of the following: an access network device 101 , a second network element 1022 .

[0351] 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.

[0352] Hereinafter, the embodiments of the present disclosure are exemplarily described through specific implementation methods.

[0353] Referring again to the architecture shown in FIG. 1B , the functions of the AIMF (ie, the first network element), the ADRF (ie, the third network element), the NWDAF (ie, the fourth network element), and the UDM are described.

[0354] 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.

[0355] In some embodiments, ADRF may be an enhanced function that is used to store trained AI models.

[0356] 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.

[0357] In some embodiments, the UDM may be an enhanced function for storing subscription data related to the AI ​​model for the UE.

[0358] 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 S908.

[0359] In step S901, the AIMF may determine to trigger an AI model switch on a specific gNB (i.e., access network device) / NF (i.e., second network element) based on a policy or a requirement from a service provider or AF, thereby switching from the source AI model (i.e., first model) ID to the target AI model (i.e., second model) ID.

[0360] In step S902, the AIMF may send an AI model switching request to the selected gNB / NF, including the source AI model ID and the target AI model ID.

[0361] In step S903, (optionally) if the inference data for the target AI model ID is provided by the NWDAF, the gNB / NF may send an AI model data update request to the NWDAF, including the source AI model ID and the target AI model ID.

[0362] In step S904, (optionally) the NWDAF may send an AI reasoning data update response to the gNB / NF.

[0363] In step S905, (optionally) if the target AI model is not available in the gNB / NF, the gNB / NF may send an AI model acquisition request to the ADRF, including the gNB-ID / NF-ID and the target AI model ID.

[0364] In step S906, the ADRF may send the AI ​​model to the gNB / NF via the control plane or the user plane to obtain a response, which includes the target AI model.

[0365] In step S907, the gNB / NF may switch from the source AI model to the target AI model.

[0366] In step S908, when the handover is completed, the gNB / NF may send an AI model handover response including the result to the AIMF directly or via the AMF (i.e., the fifth network element).

[0367] 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.

[0368] 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.

[0369] 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.

[0370] 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 .

[0371] 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 switch from the first model to the second model. 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 S3102, S3108, S3202, S3206) 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 S3101, S3201) 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.

[0372] 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 first information sent by the first network element, wherein the first information is used to indicate a switch from the first model to the second model. In some embodiments, the transceiver module 1001 can be configured to perform at least one of the communication steps such as sending and / or receiving performed by the second network element 1022 in any of the above methods (for example, steps S3102, S3103, S3104, S3105, S3106, S3108, S3202, S3203, S3204, S3206), which are not described in detail here. In some embodiments, the processing module 1002 can be configured to perform at least one of the other steps (for example, steps S3107, S3205) performed by the second network element 1022 in any of the above methods except the communication steps such as sending and / or receiving, which are not described in detail here.

[0373] 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: receive third information sent by the first device, wherein the third information is used to request the second model; and send fourth information to the first device, wherein the fourth information is used to indicate the second model. In some embodiments, the transceiver module 1001 can be configured to perform at least one of the communication steps (e.g., steps S3105 and S3106) 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.

[0374] 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 S3103, S3104, S3203, S3204) such as sending and / or receiving performed by the fourth network element 1024 in any of the above methods, which are not further described here.

[0375] In some embodiments, the communication device 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 the first network element, wherein the first information is used to indicate the switch from the first model to the second model. 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 S3102, S3103, S3104, S3105, S3106, S3108, S3202, S3203, S3204, S3206) executed by the access network device 101 in any of the above methods, which are not described in detail here. In some embodiments, the processing module 1002 can be configured to execute at least one of the other steps (for example, steps S3107, S3205) executed by the access network device 101 in any of the above methods except the communication steps such as sending and / or receiving, which are not described in detail here.

[0376] 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.

[0377] 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.

[0378] 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.

[0379] 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 S3102, S3103, S3104, S3105, S3106, S3108, S3202, S3203, S3204, S3206, but not limited thereto). The processor 11101 performs at least one of the other steps (e.g., steps S3101, S3107, S3201, S3205). 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.

[0380] 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.

[0381] 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.

[0382] 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.

[0383] The chip 11200 includes one or more processors 11201. The chip 11200 is configured to execute any of the above methods.

[0384] 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.

[0385] In some embodiments, the interface circuit 11202 performs at least one of the communication steps such as sending and / or receiving in the above method (e.g., steps S3102, S3103, S3104, S3105, S3106, S3108, S3202, S3203, S3204, and S3206, but not limited thereto). The interface circuit 11202 performing the communication steps such as 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 S3101, S3107, S3201, and S3205).

[0386] 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.

[0387] 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.

[0388] 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.

[0389] 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.

[0390] 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.

[0391] 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 instruct the first device to switch from a first model to a second model.

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; identification information of the second model; identification information of the model function of the second model; The second model.

3. The method according to claim 1 or 2, wherein: The method further comprises: Determining triggers a switch of the first device from the first model to the second model.

4. The method according to any one of claims 1 to 3, wherein The method further comprises: Second information sent by the first device is received, wherein the second information is used to indicate a switching result from the first model to the second model.

5. The method according to any one of claims 1 to 4, wherein Each of the first model and the second model is an artificial intelligence model, a machine learning model or a trainable model.

6. The method according to any one of claims 1 to 5, wherein The first device includes at least one of the following: Access network equipment; Second network element.

7. 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 switching from a first model to a second model.

8. The method according to claim 7, 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; identification information of the second model; identification information of the model function of the second model; The second model.

9. The method according to claim 7 or 8, wherein The method further comprises: Sending third information to a third network element, wherein the third information is used to request the second model; Receive fourth information sent by the third network element, wherein the fourth information is used to indicate the second model.

10. The method according to claim 9, wherein: The third information includes at least one of the following: identification information of the second model; identification information of the model function of the second model; Identification information of the first device.

11. The method according to any one of claims 7 to 10, wherein The method further comprises: Send fifth information to the fourth network element, where the fifth information is used to indicate switching from the first model to the second model.

12. The method according to claim 11, wherein The fifth 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 second model; identification information of the model function of the second model.

13. The method according to any one of claims 7 to 12, wherein: Each of the first model and the second model is an artificial intelligence model, a machine learning model or a trainable model.

14. The method according to any one of claims 7 to 13, wherein The first device includes at least one of the following: Access network equipment; Second network element.

15. A communication method, performed by a third network element, wherein: The method comprises: receiving third information sent by the first device, wherein the third information is used to request the second model; Sending fourth information to the first device, where the fourth information is used to indicate the second model.

16. The method according to claim 15, wherein The third information includes at least one of the following: identification information of the second model; identification information of the model function of the second model; Identification information of the first device, wherein the first device is used to implement reasoning based on the second model.

17. The method according to claim 15 or 16, wherein The second model is an artificial intelligence model, a machine learning model or a trainable model.

18. The method according to any one of claims 15 to 17, wherein The first device includes at least one of the following: Access network equipment; Second network element.

19. A communication method, performed by a fourth network element, wherein: The method comprises: Fifth information sent by the first device is received, wherein the fifth information is used to indicate switching from the first model to the second model.

20. The method according to claim 19, wherein The fifth 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 second model; identification information of the model function of the second model.

21. The method according to claim 19 or 20, wherein Each of the first model and the second model is an artificial intelligence model, a machine learning model or a trainable model.

22. The method according to any one of claims 19 to 21, wherein The first device includes at least one of the following: Access network equipment; Second network element.

23. A communication method, wherein: The method comprises: The first network element sends first information to the first device, where the first information is used to indicate switching from the first model to the second model.

24. The method according to claim 23, wherein The method further comprises: The first device sends third information to a third network element, wherein the third information is used to request the second model; The third network element sends fourth information to the first device, where the fourth information is used to indicate the second model.

25. 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 switching from the first model to the second model.

26. A second network element, comprising: The transceiver module is configured to receive first information sent by the first network element, wherein the first information is used to indicate switching from the first model to the second model.

27. A third network element, comprising: Transceiver module, configured as: receiving third information sent by the first device, wherein the third information is used to request the second model; Sending fourth information to the first device, where the fourth information is used to indicate the second model.

28. A fourth network element, comprising: The transceiver module is configured to receive fifth information sent by the first device, wherein the fifth information is used to indicate switching from the first model to the second model.

29. An access network device, comprising: The transceiver module is configured to receive first information sent by the first network element, wherein the first information is used to indicate switching from the first model to the second model.

30. 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 6.

31. A second network element, comprising: at least one processor; a memory storing instructions; Wherein, when the instruction is executed by the second network element, the second network element implements any one of claims 7 to 14. The communication method described.

32. A third 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 15 to 18.

33. 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 19 to 22.

34. 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 7 to 14.

35. A communication system comprising: A first network element, configured to implement the communication method according to any one of claims 1 to 6; A first device is configured to implement the communication method according to any one of claims 7 to 14.

36. 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 24.

37. 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 24 is implemented.

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