Communication method, communication device, communication system and storage medium

Abstract

The invention relates to a communication method, communication equipment, a communication system and a storage medium. The communication method comprises the steps that a first network device receives first information sent by a terminal, and the first information is used for indicating the capability, related to an artificial intelligence AI model, of the terminal; due to the fact that the capability, related to the AI model, of the terminal can be interacted between the terminal and the network device, efficient deployment and application of the AI model can be supported.

Description

Communication method, communication device, communication system, and storage medium TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of communication, and in particular to a communication method, a communication device, a communication system, and a storage medium. BACKGROUND

[0002] In recent years, the Artificial Intelligence (AI) technology has made constant breakthroughs in many fields. For example, the AI technology has been widely applied in many fields such as education, transportation, home, medical treatment, retail, and security, which brings convenience to people's life and promotes the industrial upgrading in various fields. In the field of communication, it has been proposed to introduce the AI technology in the wireless air interface to assist in improving the transmission technology of the wireless air interface.

[0003] SUMMARY

[0004] The embodiments of the present disclosure provide a communication method, a network device, a terminal, a communication device, a chip system, a storage medium, a computer program, and a computer program product, which can be applied in the technical field of communication, and are used to solve the technical problem that the deployment and application effect of the AI model are poor in the related art.

[0005] The present disclosure provides a communication method, a communication device, a communication system, and a storage medium.

[0006] According to a first aspect of the embodiments of the present disclosure, a communication method is provided, which is executed by a first network device, and includes: receiving first information sent by a terminal, wherein the first information is used to indicate the capability of the terminal related to an Artificial Intelligence (AI) model.

[0007] According to a second aspect of the embodiments of the present disclosure, a communication method is provided, which is executed by a second network device, and includes: determining first information, wherein the first information is used to indicate the capability of the terminal related to an Artificial Intelligence (AI) model.

[0008] According to a third aspect of the embodiments of the present disclosure, a communication method is provided, which is executed by a third network device, and includes: determining first information, wherein the first information is used to indicate the capability of the terminal related to an Artificial Intelligence (AI) model.

[0009] According to a fourth aspect of the embodiments of the present disclosure, a communication method is provided, which is executed by a terminal, and includes: sending first information to a first network device, wherein the first information is used to indicate the capability of the terminal related to an Artificial Intelligence (AI) model.

[0010] According to a fifth aspect of the embodiments of the present disclosure, a communication method is provided, including: a terminal sending first information to a first network device, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence AI model; the first network device receiving the first information; and a second network device and a third network device determining the first information.

[0011] According to a sixth aspect of the embodiments of the present disclosure, a first network device is provided, including: a transceiver module, configured to receive first information sent by a terminal, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence AI model.

[0012] According to a seventh aspect of the embodiments of the present disclosure, a second network device is provided, including: a processing module, configured to determine first information, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence AI model.

[0013] According to an eighth aspect of the embodiments of the present disclosure, a third network device is provided, including: a processing module, configured to determine first information, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence AI model.

[0014] According to a ninth aspect of the embodiments of the present disclosure, a terminal is provided, including: a transceiver module, configured to send first information to a first network device, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence AI model.

[0015] According to a tenth aspect of the embodiments of the present disclosure, a communication device is provided, including: one or more processors; wherein the processor is configured to invoke instructions to enable the communication device to perform the communication method of any one of the first aspect, the second aspect, the third aspect, the fourth aspect or the fifth aspect.

[0016] According to an eleventh aspect of the embodiments of the present disclosure, a communication system is provided, including a network device and a terminal, wherein the network device is configured to implement the communication method of the first aspect or the second aspect or the third aspect, and the terminal is configured to implement the communication method of the fourth aspect.

[0017] According to a twelfth aspect of the embodiments of the present disclosure, a storage medium is provided, which stores instructions, and the instructions, when executed on a communication device, enable the communication device to perform the communication method of any one of the first aspect, the second aspect, the third aspect, the fourth aspect or the fifth aspect.

[0018] According to a thirteenth aspect of the embodiments of the present disclosure, a computer program product is provided, including a computer program, which, when executed by a processor, implements the communication method of any one of the first aspect, the second aspect, the third aspect, the fourth aspect or the fifth aspect. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the background, the drawings needed to be used in the embodiments of the present disclosure or the background will be described below.

[0020] FIG. 1 is a schematic diagram of an architecture of a communication system according to an embodiment of the present disclosure;

[0021] FIG. 2A is a schematic diagram of interactions of a communication method according to an embodiment of the present disclosure;

[0022] FIG. 2B is a schematic diagram of interactions of a communication method according to another embodiment of the present disclosure;

[0023] FIG. 2C is a schematic diagram of interactions of a communication method according to another embodiment of the present disclosure;

[0024] FIG. 3A is a schematic diagram of interactions of a communication method according to another embodiment of the present disclosure;

[0025] FIG. 3B is a schematic diagram of interactions of a communication method according to another embodiment of the present disclosure;

[0026] FIG. 4A is a schematic diagram of interactions of a communication method according to another embodiment of the present disclosure;

[0027] FIG. 4B is a schematic diagram of interactions of a communication method according to another embodiment of the present disclosure;

[0028] FIG. 5A is a schematic diagram of interactions of a communication method according to yet another embodiment of the present disclosure;

[0029] FIG. 5B is a schematic diagram of interactions of a communication method according to yet another embodiment of the present disclosure;

[0030] FIG. 6A is a schematic diagram of interactions of a communication method according to still another embodiment of the present disclosure;

[0031] FIG. 6B is a schematic diagram of interactions of a communication method according to still another embodiment of the present disclosure;

[0032] FIG. 7 is a schematic diagram of interactions of a communication method according to yet another embodiment of the present disclosure;

[0033] FIG. 8A is a schematic diagram of a structure of a first network device according to an embodiment of the present disclosure;

[0034] FIG. 8B is a schematic diagram of a structure of a second network device according to an embodiment of the present disclosure;

[0035] FIG. 8C is a schematic diagram of a structure of a third network device according to an embodiment of the present disclosure;

[0036] FIG. 8D is a schematic diagram of a structure of a terminal according to an embodiment of the present disclosure;

[0037] FIG. 9A is a structural schematic diagram of a communication device according to an embodiment of the present disclosure;

[0038] FIG. 9B is a structural schematic diagram of a chip according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0039] The present disclosure provides a communication method, a communication device, a communication system, and a storage medium.

[0040] In a first aspect, a communication method is provided, performed by a first network device. The method comprises:

[0041] receiving first information sent by a terminal, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence (AI) model.

[0042] In the above embodiment, the first network device can receive the first information sent by the terminal, wherein the first information is used to indicate the capability of the terminal related to the AI model. The capability of the terminal related to the AI model can be interacted between the terminal and the network device, so that efficient deployment and application of the AI model can be supported.

[0043] In some embodiments of the first aspect, the first information comprises at least one of:

[0044] first reference information, wherein the first reference information is used to indicate whether the terminal has a capability of AI model parameter update;

[0045] second reference information, wherein the second reference information is used to indicate a model structure of an AI model deployed by the terminal and supporting parameter update.

[0046] In the above embodiment, the terminal can share whether it has the capability of AI model parameter update and / or the model structure of the deployed model with the first network device, so that flexibility of information sharing is improved.

[0047] In some embodiments of the first aspect, the method further comprises at least one of:

[0048] receiving second information sent by a third network device, wherein the second information is used to indicate that the third network device supports AI model parameter update;

[0049] receiving third information sent by the third network device, wherein the third information is used to indicate that the third network device requests to obtain the first information.

[0050] In the above embodiments, the first network device can learn in time that the third network device supports AI model parameter updating, thereby triggering in time subsequent sharing of the terminal's AI model related capability to the third network device, and / or the first network device can learn in time that the third network device has a demand for obtaining the first information, thereby triggering in time subsequent sharing of the terminal's AI model related capability to the third network device.

[0051] In some embodiments of the first aspect, the method further includes:

[0052] satisfying the first condition, sending the first information to the second network device.

[0053] In the above embodiments, the first network device can send the first information to the second network device in the case of satisfying the first condition, thereby enabling interaction of the terminal's AI model related capability among the terminal, the first network device and the second network device, to support efficient deployment and application of the AI model.

[0054] In some embodiments of the first aspect, satisfying the first condition includes any of:

[0055] receiving the first information sent by the terminal;

[0056] determining that the terminal accesses the third network device;

[0057] receiving second information sent by the third network device, wherein the second information is used to indicate that the third network device supports AI model parameter updating;

[0058] receiving third information sent by the third network device, wherein the third information is used to indicate that the third network device requests to obtain the first information.

[0059] In the above embodiments, in the case of satisfying the above various conditions, the first information can be sent to the second network device, which can effectively improve the flexibility of sharing of the terminal's AI model related capability, and effectively adapt to individualized application scenarios.

[0060] In some embodiments of the first aspect, determining that the terminal accesses the third network device includes any of:

[0061] determining that the terminal switches from accessing the first network device to accessing the third network device;

[0062] determining that the terminal accesses the third network device based on a random access manner.

[0063] In the above embodiments, the terminal accessing the third network device can be determined in time and quickly, to support timeliness of subsequent sharing of the terminal's AI model related capability.

[0064] In a second aspect, the embodiments of the present disclosure provide a communication method, executed by a second network device; the method comprises:

[0065] determining first information, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence AI model.

[0066] In the above embodiments, the second network device can learn the capability of the terminal related to the AI model in a timely manner, thereby supporting efficient deployment and application of the AI model.

[0067] In combination with some embodiments of the second aspect, in some embodiments, the first information comprises at least one of:

[0068] first reference information, wherein the first reference information is used to indicate whether the terminal has a capability of AI model parameter update;

[0069] second reference information, wherein the second reference information is used to indicate a model structure of an AI model deployed by the terminal and supporting parameter update.

[0070] In combination with some embodiments of the second aspect, in some embodiments, the method further comprises:

[0071] receiving the first information sent by the first network device.

[0072] In combination with some embodiments of the second aspect, in some embodiments, the method further comprises:

[0073] satisfying a second condition, and sending the first information to a third network device.

[0074] In the above embodiments, the second network device can send the first information to the third network device when it is determined that the second condition is satisfied. Thereby, the capability of the terminal related to the AI model can be exchanged between the second network device and the third network device, so as to support efficient deployment and application of the AI model.

[0075] In combination with some embodiments of the second aspect, in some embodiments, satisfying the second condition comprises any of:

[0076] determining that the terminal accesses the third network device;

[0077] having received second information sent by the third network device, wherein the second information is used to indicate that the third network device supports AI model parameter update;

[0078] having received third information sent by the third network device, wherein the third information is used for the third network device to request to obtain the first information.

[0079] In the above embodiments, in the case where the above various conditions are met, the sending of the first information to the third network device can be triggered, the flexibility of sharing the capability of the terminal related to the AI model can be effectively improved, and the personalized application scenarios can be effectively applied.

[0080] In some embodiments combined with the second aspect, in some embodiments, the determining that the terminal accesses the third network device includes any of the following:

[0081] The determining that the terminal switches from accessing the first network device to accessing the third network device.

[0082] The determining that the terminal accesses the third network device based on a random access manner.

[0083] In the third aspect, the embodiments of the present disclosure provide a communication method, executed by a third network device; the method includes:

[0084] The determining of the first information, where the first information is used to indicate a capability of a terminal related to an artificial intelligence (AI) model.

[0085] In the above embodiments, the third network device can timely learn the capability of the terminal related to the AI model, thereby supporting efficient deployment and application of the AI model.

[0086] In some embodiments combined with the third aspect, in some embodiments, the first information includes at least one of the following:

[0087] First reference information, where the first reference information is used to indicate whether the terminal has a capability of AI model parameter updating;

[0088] Second reference information, where the second reference information is used to indicate a model structure of an AI model deployed by the terminal and supporting parameter updating.

[0089] In some embodiments combined with the third aspect, in some embodiments, the method further includes:

[0090] The receiving of the first information sent by the terminal.

[0091] In some embodiments combined with the third aspect, in some embodiments, the method further includes at least one of the following:

[0092] The sending of second information to the first network device or the second network device, where the second information is used to indicate that the third network device supports AI model parameter updating.

[0093] The sending of third information to the first network device or the second network device, where the third information is used to request the first information by the third network device.

[0094] In some embodiments combined with the third aspect, in some embodiments, the method further includes:

[0095] receive the first information sent by the second network device.

[0096] In a fourth aspect, the embodiments of the present disclosure provide a communication method, executed by a terminal; the method comprises:

[0097] sending, to the first network device, first information, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence (AI) model.

[0098] In the above embodiments, the terminal can send the first information to the first network device, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence (AI) model. The capability of the terminal related to the AI model can be interacted between the terminal and the network device, thereby supporting efficient deployment and application of the AI model.

[0099] In combination with some embodiments of the fourth aspect, in some embodiments, the first information comprises at least one of:

[0100] first reference information, wherein the first reference information is used to indicate whether the terminal has a capability of AI model parameter update;

[0101] second reference information, wherein the second reference information is used to indicate a model structure of an AI model deployed by the terminal and supporting parameter update.

[0102] In combination with some embodiments of the fourth aspect, in some embodiments, the method further comprises:

[0103] accessing a third network device;

[0104] sending, to the third network device, the first information.

[0105] In combination with some embodiments of the fourth aspect, in some embodiments, the accessing the third network device comprises any one of:

[0106] switching from accessing the first network device to accessing the third network device;

[0107] accessing the third network device based on a random access manner.

[0108] In a fifth aspect, the embodiments of the present disclosure provide a communication method, the method comprising:

[0109] sending, by a terminal, first information to a first network device, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence (AI) model;

[0110] receiving, by the first network device, the first information;

[0111] determining, by a second network device and a third network device, the first information.

[0112] In a sixth aspect, an embodiment of the present disclosure provides a first network device, the first network device comprising:

[0113] a transceiver configured to receive first information sent by the terminal, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence (AI) model.

[0114] In a seventh aspect, an embodiment of the present disclosure provides a second network device, the second network device comprising:

[0115] a processing module configured to determine the first information, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence (AI) model.

[0116] In an eighth aspect, an embodiment of the present disclosure provides a third network device, the third network device comprising:

[0117] a processing module configured to determine the first information, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence (AI) model.

[0118] In a ninth aspect, an embodiment of the present disclosure provides a terminal, the terminal comprising:

[0119] a transceiver configured to send first information to the first network device, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence (AI) model.

[0120] In a tenth aspect, an embodiment of the present disclosure provides a communication device, comprising:

[0121] one or more processors;

[0122] The processor is configured to perform the communication method in any one of the first aspect, the second aspect, the third aspect, the fourth aspect, or the fifth aspect.

[0123] In an eleventh aspect, an embodiment of the present disclosure provides a communication system comprising a terminal and a network device, wherein the network device is configured to implement the communication method in the first aspect or the second aspect or the third aspect, and the terminal is configured to implement the communication method in the fourth aspect.

[0124] In a twelfth aspect, an embodiment of the present disclosure provides a storage medium, the storage medium storing instructions, when the instructions are executed on a communication device, causing the communication device to perform the communication method in any one of the first aspect, the second aspect, the third aspect, the fourth aspect, or the fifth aspect.

[0125] In a thirteenth aspect, an embodiment of the present disclosure provides a computer program product, comprising a computer program, when the computer program is executed by a processor, implementing the communication method in any one of the first aspect, the second aspect, the third aspect, the fourth aspect, or the fifth aspect.

[0126] It can be understood that the communication method, network device, terminal, communication device, chip system, storage medium, computer program and computer program product are used to execute the method proposed in the embodiments of the present disclosure. Therefore, the beneficial effects achieved thereby can refer to the beneficial effects in the corresponding method, which will not be described here.

[0127] The embodiments of the present disclosure propose a communication method and device, a communication device, a communication system, and a storage medium. In some embodiments, the terms of communication method, information processing method, and communication control method can be replaced with each other, the terms of communication device, information processing device, and communication control device can be replaced with each other, and the terms of information processing system and communication system can be replaced with each other.

[0128] The embodiments of the present disclosure are not exhaustive, but only illustrate some embodiments, and are not specific limitations on the protection scope of the present disclosure. In the case of no contradiction, each step in an embodiment can be implemented as an independent embodiment, and the steps can be combined arbitrarily, for example, the scheme after removing some steps in an embodiment can also be implemented as an independent embodiment, and the order of the steps in an embodiment can be exchanged arbitrarily, in addition, the optional implementation manners in an embodiment can be combined arbitrarily; in addition, the embodiments can be combined arbitrarily, for example, the steps of different embodiments or part or all of the steps of different embodiments can be combined arbitrarily, an embodiment can be combined with the optional implementation manners of other embodiments.

[0129] In each embodiment of the present disclosure, the terms and / or descriptions of the embodiments are consistent and can be referred to each other if there is no special description and logical conflict, and the technical features in different embodiments can be combined to form a new embodiment according to their inherent logical relationship.

[0130] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments, and not as a limitation on the present disclosure.

[0131] In the embodiments of the present disclosure, unless otherwise specified, the elements expressed in singular form, such as "one", "a", "the", "above", "said", "preceding", "this" and the like, can represent "one and only one", or "one or more", "at least one" and the like. For example, in the case of using articles such as "a", "an", "the" and the like in English, the noun after the article can be understood as singular expression, or can be understood as plural expression.

[0132] In the embodiments of the present disclosure, "a plurality of" means two or more.

[0133] In some embodiments, the terms "at least one of," "one or more of," "a plurality of," "multiple," and the like can be used interchangeably.

[0134] In some embodiments, the recitations "at least one of A, B," "A and / or B," "in one case A, in another case B," "in response to a case A, in response to a case B," and the like can include the following technical solutions according to the case: in some embodiments A (A is executed regardless of B); in some embodiments B (B is executed regardless of A); in some embodiments, A and B are selectively executed (A and B are selectively executed); in some embodiments, A and B (A and B are executed). When there are more branches such as A, B, C, and the like, the above is similar.

[0135] In some embodiments, the recitations "A or B" and the like can include the following technical solutions according to the case: in some embodiments A (A is executed regardless of B); in some embodiments B (B is executed regardless of A); in some embodiments, A and B are selectively executed (A and B are selectively executed). When there are more branches such as A, B, C, and the like, the above is similar.

[0136] The prefix words "first", "second", and the like in the embodiments of the present disclosure are only used to distinguish different description objects, and do not constitute a limitation on the position, order, priority, quantity, or content of the description objects. The description of the description objects should refer to the description in the context of the claims or embodiments, and should not constitute an additional limitation because of the use of the prefix words. For example, the description objects are "fields", and the ordinal words before "fields" in "first field" and "second field" do not limit the position or order between "fields", and "first" and "second" do not limit whether the "fields" modified thereby are in the same message or not, nor do they limit the order of "first field" and "second field". For another example, the description objects are "levels", and the ordinal words before "levels" in "first level" and "second level" do not limit the priority between "levels". For another example, the quantity of the description objects is not limited by the ordinal words, and can be one or more. For example, "first device", wherein the quantity of "devices" can be one or more. In addition, the objects modified by different prefix words can be the same or different, for example, the description objects are "devices", and "first device" and "second device" can be the same device or different devices, and their types can be the same or different; for another example, the description objects are "information", and "first information" and "second information" can be the same information or different information, and their contents can be the same or different.

[0137] In some embodiments, "comprising", "including", "to indicate", "carrying", can be interpreted as directly carrying A, or indirectly indicating A.

[0138] In some embodiments, the terms "in response to", "in response to determining", "in the case of", "when", "when", "if", "if" and the like can be replaced with each other.

[0139] In some embodiments, the terms "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", "above" and the like can be replaced with each other, and the terms "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", "below" and the like can be replaced with each other.

[0140] In some embodiments, the apparatus and device can be interpreted as physical or virtual, and its name is not limited to the name described in the embodiments, and in some cases can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject" and the like.

[0141] In some embodiments, "network" can be interpreted as an apparatus included in the network, such as an access network device, a core network device, and the like.

[0142] In some embodiments, an “access network device (AN device)” can also be referred to as a “radio access network device (RAN device),” a “base station (BS),” a “radio base station,” a “fixed station,” and in some embodiments can also be understood as a “node,” an “access point,” a “transmission point (TP),” a “reception point (RP),” a “transmission / reception point (TRP),” a “panel,” an “antenna panel,” an “antenna array,” a “cell,” a “macro cell,” a “small cell,” a “femto cell,” a “pico cell,” a “sector,” a “cell group,” a “serving cell,” a “carrier,” a “component carrier,” a “bandwidth part (BWP),” and the like.

[0143] In some embodiments, a "terminal" or "terminal device" can be referred to as a "user equipment" (UE), a "user terminal," a "mobile station" (MS), a "mobile terminal" (MT), a subscriber station, a mobile unit, a subscriber unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile subscriber station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, and / or the like.

[0144] In some embodiments, data, information, and / or the like can be obtained in compliance with laws and regulations of a country in which a location is situated.

[0145] In some embodiments, data, information, and / or the like can be obtained after consent of a user is obtained.

[0146] FIG. 1 is an architecture diagram of a communication system, according to an embodiment of the present disclosure. As shown in FIG. 1, the communication system 100 can include a terminal 101, a network device 102. The network device 102 can include at least one of an access network device and a core network device.

[0147] In some embodiments, the terminal 101 includes at least one of a mobile phone, a wearable device, an Internet of Things device, a communication-capable automobile, a smart automobile, a tablet (Pad), a wireless transceiver-equipped computer, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, a wireless terminal device in a smart home, or the like, but is not limited thereto.

[0148] In some embodiments, the access network device is at least one of a node or a device that accesses a terminal to a wireless network, and can include an evolved NodeB (eNB) in a 5G communication system, a next generation eNB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved node B (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 RAN, a Cloud RAN, a base station in other communication systems, an access node in a WiFi system, or the like, but is not limited thereto.

[0149] In some embodiments, the technical solutions of the present disclosure can be applied to an Open RAN architecture, in which case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can become internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0150] In some embodiments, the access network device can be composed of a central unit (CU) and a distributed unit (DU), where the CU can also be referred to as a control unit. The CU-DU structure can split the protocol layers of the access network device, with some protocol layer functions being controlled by the CU and the rest or all protocol layer functions being distributed in the DU and controlled by the CU, but is not limited thereto.

[0151] In some embodiments, the core network device can be one device including one or more network elements, or can be multiple devices or device groups including all or part of the one or more network elements. The network element can be virtual or physical. The core network includes at least one of, for example, an evolved packet core (EPC), a 5G core network (5GCN), and a next generation core (NGC).

[0152] It can be understood that the communication system described in the embodiments of the present disclosure is for more clearly illustrating the technical solutions of the embodiments of the present disclosure, and does not constitute a limitation on the technical solutions proposed by the embodiments of the present disclosure. Those skilled in the art can know that, as the system architecture evolves and new business scenarios appear, the technical solutions proposed by the embodiments of the present disclosure are also applicable to similar technical problems.

[0153] The following embodiments of the present disclosure can be applied to the communication system 100 shown in FIG. 1, or part of the subject, but are not limited thereto. The subjects shown in FIG. 1 are exemplary, and the communication system can include all or part of the subjects in FIG. 1, or other subjects other than those in FIG. 1. The number and form of each subject is arbitrary, and the connection relationship between the subjects is exemplary. The subjects can be connected or not connected, and the connection can be in any way, can be direct connection or indirect connection, can be wired connection or wireless connection.

[0154] 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 (Bluetooth (registered trademark)), Public Land Mobile Network (PLMN) network, Device-to-Device (D2D) system, Machine to Machine (M2M) system, Internet of Things (IoT) system, Vehicle-to-Everything (V2X), system using other communication methods, next-generation system expanded based thereon, and the like. Further, a plurality of systems can be applied in combination (for example, combination of LTE or LTE-A and 5G, and the like).

[0155] In recent years, artificial intelligence (AI) technology has made continuous breakthroughs in many fields. The continuous development of intelligent voice, computer vision and other fields not only brings colorful applications to intelligent terminals, but also has wide application in education, transportation, home, medical care, retail, security and other fields. Therefore, AI technology not only brings convenience to people's life, but also promotes the industrial upgrading of various industries. In addition, AI technology is also accelerating the cross-penetration with other disciplines. Its development and integration of different disciplines of knowledge also provide a new direction and method for the development of different disciplines.

[0156] Optionally, in the field of communication, it has been proposed to introduce AI technology in the wireless air interface to assist in improving the transmission technology of the wireless air interface.

[0157] Optionally, in the research of wireless AI, the application cases of AI technology may include, for example, AI-based channel state information (CSI) enhancement, AI-based beam management, and AI-based positioning.

[0158] Optionally, the deployment mode of the AI model includes: the first mode, the AI model is trained in the network device, and then the network device transmits the AI model to the terminal. The second mode, in order to reduce complexity, the model structure can be deployed in the terminal in advance. The network device transmits the model parameters of the model structure deployed in the terminal to the terminal.

[0159] Optionally, the terminal can provide the following capability information to the network device:

[0160] Whether the terminal supports the network device to transmit the model parameters and apply the model parameters on the model structure deployed in advance.

[0161] The model structure supported by the terminal.

[0162] Optionally, it is necessary to interact the capabilities related to the AI model of the terminal among the devices in the network (for example: terminal, access network device, core network device) to support efficient deployment and application of the AI model.

[0163] Optionally, the network device can also be referred to as a network node, node, etc., which is not limited.

[0164] FIG. 2A is an interaction diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 2A, the embodiment of the present disclosure relates to a communication method, which can be used in the communication system 100, and the above method includes:

[0165] In step S2101, the terminal sends first information to the first network device.

[0166] In some embodiments, the first network device can be an access network device to which the terminal currently accesses. The first network device can be, for example, the base station 1.

[0167] The first information is used to indicate the capability of the terminal related to the AI model.

[0168] In some embodiments, the first information includes at least one of the following: first reference information, second reference information. The first reference information is used to indicate whether the terminal has the capability of AI model parameter update. The second reference information is used to indicate the model structure of the AI model deployed by the terminal and supporting parameter update. In this way, the terminal can share with the first network device whether it has the capability of AI model parameter update and / or the model structure of the AI model deployed by the terminal, thereby improving the flexibility of information sharing.

[0169] In some embodiments, the terminal can indicate to the first network device whether it has the capability of AI model parameter update.

[0170] In some embodiments, the terminal can indicate to the first network device the model structure of the AI model deployed by the terminal and supporting parameter update.

[0171] In some embodiments, the terminal can indicate to the first network device whether it has the capability of AI model parameter update and the model structure of the AI model deployed by the terminal and supporting parameter update.

[0172] In step S2102, the first network device sends the first information to the second network device.

[0173] In some embodiments, the second network device can be a core network device.

[0174] In some embodiments, after receiving the first information sent by the terminal, the first network device can send the first information to the second network device. In this way, the capability of the terminal related to the AI model can be timely shared with the second network device to support efficient deployment and application of the AI model.

[0175] For example, the first network device is a base station, and the second network device is a core network device. The terminal can send the first information to the base station to which it accesses, and then the base station can forward the first information to the core network device.

[0176] In step S2103, the terminal accesses the third network device.

[0177] In some embodiments, the third network device can be an access network device to which the terminal newly accesses. The third network device can be, for example, the base station 2.

[0178] In some embodiments, the terminal accessing the third network device can include any of the following: switching from accessing the first network device to accessing the third network device; and accessing the third network device based on a random access manner. That is, the terminal can access the third network device in the following two ways: switching from accessing the first network device to accessing the third network device; or disconnecting the connection with the first network device, and then accessing the third network device based on a random access manner. Thus, in various possible ways of accessing the third network device, the terminal's AI model related capability can be timely shared between different network devices.

[0179] In step S2104, the second network device sends the first information to the third network device.

[0180] In some embodiments, when determining that the terminal accesses the third network device, the second network device can send the first information to the third network device, so as to share the terminal's AI model related capability between the second network device and the third network device.

[0181] For example, the first network device is a base station 1, the second network device is a core network device, and the third network device is a base station 2. The terminal can send the first information to the base station 1, and then the base station 1 can forward the first information to the core network device. If the terminal accesses the base station 2, the core network device can forward the first information to the base station 2, and the base station 2 can receive the first information sent by the core network device.

[0182] The communication method disclosed in the embodiments can include at least one of steps S2101-S2105. For example, step S2101 can be implemented as an independent embodiment, step S2102 can be implemented as an independent embodiment, and so on, but is not limited thereto. Steps S2101+S2102 can be implemented as an independent embodiment, steps S2101+S2102+S2103 can be implemented as an independent embodiment, but are not limited thereto.

[0183] In the embodiments or examples, each step can be independent, arbitrarily combined or exchanged in order, the optional mode or optional example can be arbitrarily combined, and can be arbitrarily combined with any step of other embodiments or other examples.

[0184] In the embodiments, the terminal sends the first information to the first network device, the first network device sends the first information to the second network device, the terminal accesses the third network device, and the second network device sends the first information to the third network device. Thus, the terminal's AI model related capability can be exchanged between the terminal, the first network device, the second network device and the third network device, so as to support efficient deployment and application of the AI model.

[0185] It should be noted that the description of the same or corresponding terms and method steps in the following embodiments can refer to the description of the above embodiments, and will not be repeated here.

[0186] FIG. 2B is an interaction diagram of a communication method according to another embodiment of the present disclosure. As shown in FIG. 2B, the embodiment of the present disclosure relates to a communication method, which can be used in the communication system 100, and the above method comprises:

[0187] In step S2201, the terminal sends first information to the first network device.

[0188] In step S2202, the third network device sends second information and / or third information to the first network device or the second network device.

[0189] The second information is used to indicate that the third network device supports AI model parameter updating. The third information is used to indicate that the third network device requests to obtain the first information.

[0190] In some embodiments, the third network device can send the second information to the first network device to indicate to the second network device that the third network device supports AI model parameter updating.

[0191] In some embodiments, the third network device can send the third information to the first network device to indicate to the second network device that the third network device requests to obtain the first information.

[0192] In step S2203, the first network device sends the first information to the second network device.

[0193] In some embodiments, if the first network device receives the second information and / or the third information sent by the third network device, the first network device knows that the third network device supports AI model parameter updating, and / or knows that the third network device requests to obtain the first information. Then the subsequent steps can be triggered.

[0194] In some embodiments, the first network device can also directly send the first information to the third network device.

[0195] In step S2204, the second network device sends the first information to the third network device.

[0196] In some embodiments, the second network device receives the first information sent by the first network device, and determines that the third network device supports AI model parameter updating, and / or determines that the third network device requests to obtain the first information. Then the second network device can send the first information to the third network device to realize sharing of the terminal's AI model related capabilities between the second network device and the third network device.

[0197] For example, the first network device is a base station 1, the second network device is a core network device, and the third network device is a base station 2. The terminal can send the first information to the base station 1, and then the base station 2 informs the base station 1 that the base station 2 supports AI model parameter updating, and / or the base station 2 requests to obtain the first information. The base station 1 can forward the first information to the core network device, and the core network device provides the first information to the base station 2.

[0198] The communication method related to the embodiments of the present disclosure can include at least one of steps S2201-S2205. For example, step S2201 can be implemented as an independent embodiment, step S2202 can be implemented as an independent embodiment, and so on, but is not limited thereto. Steps S2201+S2202 can be implemented as an independent embodiment, steps S2201+S2202+S2203 can be implemented as an independent embodiment, but are not limited thereto.

[0199] In the present embodiment or example, each step can be independently combined or exchanged in order, and optional modes or examples can be combined arbitrarily, and can be combined with any step of other embodiments or other examples.

[0200] In the present embodiment, the terminal sends the first information to the first network device, the third network device sends the second information and / or the third information to the first network device, the first network device sends the first information to the second network device, and the second network device sends the first information to the third network device. Thus, the terminal's AI model-related capabilities can be exchanged between the terminal, the first network device, the second network device, and the third network device to support efficient deployment and application of AI models.

[0201] FIG. 2C is an interaction diagram of a communication method according to another embodiment of the present disclosure. As shown in FIG. 2C, the embodiments of the present disclosure relate to a communication method, which can be used in the communication system 100. The above method includes:

[0202] Step S2301, the terminal sends the first information to the first network device.

[0203] Step S2302, the terminal accesses the third network device.

[0204] Step S2303, the terminal sends the first information to the third network device.

[0205] In some embodiments, after accessing the third network device, the terminal can send the first information to the third network device to share the terminal's AI model-related capabilities between the terminal and the third network device.

[0206] For example, the first network device is taken as a base station 1, and the third network device is taken as a base station 2. The terminal can send the first information to the base station 1, and then, if the terminal accesses the base station 2, the terminal can also send the first information to the base station 2, and the base station 2 can receive the first information sent by the terminal.

[0207] The communication method related to the embodiments of the present disclosure can include at least one of steps S2301-S2303. For example, step S2301 can be implemented as an independent embodiment, step S2302 can be implemented as an independent embodiment, and so on, but is not limited thereto. Steps S2301+S2302 can be implemented as an independent embodiment, steps S2301+S2302+S2303 can be implemented as an independent embodiment, but are not limited thereto.

[0208] In the present embodiment or example, each step can be independent, arbitrarily combined or exchanged in order, and optional modes or examples can be arbitrarily combined, and can be arbitrarily combined with any step of other embodiments or other examples, without contradiction.

[0209] In the present embodiment, the terminal sends the first information to the first network device, the terminal accesses the third network device, and the terminal sends the first information to the third network device. Thus, the terminal's AI model-related capabilities can be exchanged between the terminal, the first network device and the third network device to support efficient deployment and application of AI models.

[0210] FIG. 3A is an interaction diagram of a communication method according to another embodiment of the present disclosure. As shown in FIG. 3A, the embodiments of the present disclosure relate to a communication method, which can be used for a first network device. The above method includes:

[0211] Step S3101, receiving first information sent by a terminal, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence AI model.

[0212] The communication method related to the embodiments of the present disclosure can include step S3101. For example, step S3101 can be implemented as an independent embodiment, but is not limited thereto.

[0213] In the present embodiment or example, each step can be independent, arbitrarily combined or exchanged in order, and optional modes or examples can be arbitrarily combined, and can be arbitrarily combined with any step of other embodiments or other examples, without contradiction.

[0214] FIG. 3B is an interaction diagram of a communication method according to another embodiment of the present disclosure. As shown in FIG. 3B, the embodiments of the present disclosure relate to a communication method, which can be used for a first network device. The above method includes:

[0215] In step S3201, the first information sent by the terminal is received, where the first information is used to indicate the capability of the terminal related to the AI model.

[0216] In step S3202, the first condition is met, and the first information is sent to the second network device.

[0217] In some embodiments of the present disclosure, the first condition is met, including any one of the following:

[0218] The first information sent by the terminal has been received;

[0219] The terminal accesses the third network device is determined;

[0220] The second information sent by the third network device has been received, where the second information is used to indicate that the third network device supports AI model parameter update;

[0221] The third information sent by the third network device has been received, where the third information is used for the third network device to request to obtain the first information.

[0222] In some embodiments of the present disclosure, the terminal accesses the third network device is determined, including any one of the following:

[0223] The terminal is determined to switch from accessing the first network device to accessing the third network device;

[0224] The terminal is determined to access the third network device based on a random access manner.

[0225] The communication method related to the embodiments of the present disclosure can include at least one of steps S3201-S3202. For example, step S3201 can be implemented as an independent embodiment, step S3202 can be implemented as an independent embodiment, and so on, but is not limited thereto. Steps S3201+S3202 can be implemented as an independent embodiment, but are not limited thereto.

[0226] In the present embodiment or embodiment, each step can be independently combined or exchanged in order without contradiction, optional modes or optional examples can be combined arbitrarily, and can be combined with any step of other embodiments or other embodiments.

[0227] In some embodiments of the present disclosure, the first information includes at least one of the following:

[0228] The first reference information, where the first reference information is used to indicate whether the terminal has the capability of AI model parameter update;

[0229] The second reference information, where the second reference information is used to indicate the model structure of the AI model deployed by the terminal and supporting parameter update.

[0230] In some embodiments of the present disclosure, the method further includes:

[0231] receiving second information sent by the third network device, wherein the second information is used to indicate that the third network device supports AI model parameter updating.

[0232] In some embodiments of the present disclosure, the method further includes:

[0233] receiving third information sent by the third network device, wherein the third information is used to indicate that the third network device requests to obtain the first information.

[0234] In some embodiments of the present disclosure, determining that the terminal accesses the third network device includes any of the following:

[0235] determining that the terminal switches from accessing the first network device to accessing the third network device;

[0236] determining that the terminal accesses the third network device based on a random access manner.

[0237] FIG. 4A is an interaction diagram of a communication method according to another embodiment of the present disclosure. As shown in FIG. 4A, the embodiment of the present disclosure relates to a communication method, which can be used for a second network device. The above method includes:

[0238] step S4101, determining first information, wherein the first information is used to indicate a capability of a terminal related to an artificial intelligence (AI) model.

[0239] The communication method related to the embodiment of the present disclosure can include step S4101. For example, step S4101 can be implemented as an independent embodiment, but is not limited thereto.

[0240] In the present embodiment or embodiment, each step can be independent, arbitrarily combined or exchanged in order, the optional mode or optional example can be arbitrarily combined, and can be arbitrarily combined with any step of other embodiments or other embodiments.

[0241] FIG. 4B is an interaction diagram of a communication method according to another embodiment of the present disclosure. As shown in FIG. 4B, the embodiment of the present disclosure relates to a communication method, which can be used for a second network device. The above method includes:

[0242] step S4201, receiving first information sent by a first network device, wherein the first information is used to indicate a capability of a terminal related to an artificial intelligence (AI) model.

[0243] step S4202, satisfying a second condition, and sending the first information to a third network device.

[0244] In some embodiments of the present disclosure, satisfying the second condition includes any of the following:

[0245] determining that the terminal accesses the third network device;

[0246] receiving second information sent by the third network device, wherein the second information is used to indicate that the third network device supports AI model parameter updating;

[0247] receiving third information sent by the third network device, wherein the third information is used to indicate that the third network device requests to obtain the first information.

[0248] In some embodiments of the present disclosure, determining that the terminal accesses the third network device includes any of the following:

[0249] determining that the terminal switches from accessing the first network device to accessing the third network device;

[0250] determining that the terminal accesses the third network device based on a random access manner.

[0251] The communication method related to the embodiments of the present disclosure can include at least one of steps S4201-S4202. For example, step S4201 can be implemented as an independent embodiment, step S4202 can be implemented as an independent embodiment, and so on, but is not limited thereto. Steps S4201+S4202 can be implemented as an independent embodiment, but are not limited thereto.

[0252] In the present embodiment or the present example, each step can be independent, arbitrarily combined, or the order can be exchanged without contradiction. The optional mode or the optional example can be arbitrarily combined, and can be arbitrarily combined with any step of other embodiments or other examples.

[0253] FIG. 5A is an interaction diagram of a communication method according to yet another embodiment of the present disclosure. As shown in FIG. 5A, the embodiments of the present disclosure relate to a communication method, which can be used for a third network device. The above method includes:

[0254] Step S5101, determining first information, wherein the first information is used to indicate the capability of the terminal related to an artificial intelligence (AI) model.

[0255] The communication method related to the embodiments of the present disclosure can include step S5101. For example, step S5101 can be implemented as an independent embodiment, but is not limited thereto.

[0256] In the present embodiment or the present example, each step can be independent, arbitrarily combined, or the order can be exchanged without contradiction. The optional mode or the optional example can be arbitrarily combined, and can be arbitrarily combined with any step of other embodiments or other examples.

[0257] FIG. 5B is an interaction diagram of a communication method according to another embodiment of the present disclosure. As shown in FIG. 5B, the embodiment of the present disclosure relates to a communication method, which can be used for a third network device. The above method includes the following steps.

[0258] In step S5201, second information and / or third information are sent to the first network device or the second network device, where the second information is used to indicate that the third network device supports AI model parameter updating, and the third information is used to request the first information from the third network device.

[0259] In step S5202, the first information sent by the terminal or the second network device is received.

[0260] The communication method related to the embodiment of the present disclosure can include at least one of steps S5201-S5202. For example, step S5201 can be implemented as an independent embodiment, step S5202 can be implemented as an independent embodiment, and so on, but is not limited thereto. Steps S5201+S5202 can be implemented as an independent embodiment, but are not limited thereto.

[0261] In the present embodiment or example, each step can be independent, arbitrarily combined, or the order can be exchanged, the optional mode or optional example can be arbitrarily combined, and can be arbitrarily combined with any step of other embodiments or other examples.

[0262] FIG. 6A is an interaction diagram of a communication method according to another embodiment of the present disclosure. As shown in FIG. 6A, the embodiment of the present disclosure relates to a communication method, which can be used for a terminal. The above method includes the following steps.

[0263] In step S6101, first information is sent to the first network device, where the first information is used to indicate the capability of the terminal related to an artificial intelligence (AI) model.

[0264] The communication method related to the embodiment of the present disclosure can include step S6101. For example, step S6101 can be implemented as an independent embodiment, but is not limited thereto.

[0265] In the present embodiment or example, each step can be independent, arbitrarily combined, or the order can be exchanged, the optional mode or optional example can be arbitrarily combined, and can be arbitrarily combined with any step of other embodiments or other examples.

[0266] FIG. 6B is an interaction diagram of a communication method according to another embodiment of the present disclosure. As shown in FIG. 6B, the embodiment of the present disclosure relates to a communication method, which can be used for a terminal. The above method includes the following steps.

[0267] In step S6201, the first information is sent to the first network device, where the first information is used to indicate the capability of the terminal related to the AI model.

[0268] In step S6202, the third network device is accessed.

[0269] In step S6203, the first information is sent to the third network device.

[0270] The communication method related to the embodiments of the present disclosure can include at least one of steps S6201-S6203. For example, step S6201 can be implemented as an independent embodiment, step S6202 can be implemented as an independent embodiment, and so on, but is not limited thereto. Steps S6201+S6202 can be implemented as an independent embodiment, but are not limited thereto.

[0271] In the present embodiment or example, each step can be independent, arbitrarily combined, or the order can be exchanged, the optional mode or optional example can be arbitrarily combined, and can be arbitrarily combined with any step of other embodiments or other examples.

[0272] FIG. 7 is an interaction diagram of a communication method according to yet another embodiment of the present disclosure. As shown in FIG. 7, the embodiments of the present disclosure relate to a communication method, which can be used in a communication system. The above method includes:

[0273] In step S7101, the first information is sent to the first network device, where the first information is used to indicate the capability of the terminal related to the AI model.

[0274] In step S7102, the first information is received by the first network device.

[0275] In step S7103, the first information is determined by the second network device and the third network device.

[0276] The communication method related to the embodiments of the present disclosure can include at least one of steps S7101-S7103. For example, step S7101 can be implemented as an independent embodiment, step S7102 can be implemented as an independent embodiment, and so on, but is not limited thereto. Steps S7101+S7102 can be implemented as an independent embodiment, but are not limited thereto.

[0277] In the present embodiment or example, each step can be independent, arbitrarily combined, or the order can be exchanged, the optional mode or optional example can be arbitrarily combined, and can be arbitrarily combined with any step of other embodiments or other examples.

[0278] The following is an exemplary introduction to the above method.

[0279] In embodiments of the present disclosure, the network device can also be referred to as a network node. The core network device can also be referred to as a core network node.

[0280] Optionally, the embodiments are as follows:

[0281] (1) The terminal sends first information to the first network node, the first information being used to indicate whether the terminal has the capability of AI model parameter update and / or a model structure pre-deployed at the terminal side to support parameter update for the model structure. For example, the first network node can be a base station.

[0282] (2) In response to the first network node receiving the first information, the first network node sends the first information to the second network node, the first information being used to report to the second network node whether the terminal has the capability of AI model parameter update and / or a model structure pre-deployed at the terminal side to support parameter update for the model structure. The second network node can be a core network node.

[0283] (3) In response to the terminal switching from accessing the first network node to accessing the third network node, the first network node sends the first information to the second network node, the first information being used to report to the second network node whether the terminal has the capability of AI model parameter update and / or a model structure pre-deployed at the terminal side to support parameter update for the model structure. The second network node can be a core network node.

[0284] (4) In response to the terminal accessing the third network node, the second network node sends the first information to the third network node, the first information being used to indicate to the third network node whether the terminal has the capability of AI model parameter update and / or a model structure pre-deployed at the terminal side to support parameter update for the model structure.

[0285] Wherein, the terminal accessing the third network node can include: the terminal switching from the first network node to the third network node, or the terminal entering an idle state and then accessing the third network node based on a random access manner in the idle state.

[0286] (5) Further, the method further includes: in response to the third network node supporting model parameter update and / or the third network node requesting the first network node to learn whether the terminal supports the capability of AI model parameter update and / or a model structure pre-deployed at the terminal side to support parameter update for the model structure, the first network node sending the first information.

[0287] (6) Further, the method further comprises: in response to the third network node supporting model parameter updating and / or the third network node requesting the first network node to learn whether the terminal supports the capability of AI model parameter updating and / or the model structure pre-deployed at the terminal side to support parameter updating for the model structure, the second network node sending the first information to the third network node.

[0288] (7) In response to the terminal accessing to the third network node, the terminal re-sends the first information to the third network node, for indicating whether the terminal has the capability of AI model parameter updating and / or the model structure pre-deployed at the terminal side to support parameter updating for the model structure. For example, the third network node can be a base station.

[0289] (8) According to the content in (1)-(7), in response to the content included in the first information being different, the steps in (1)-(7) that can be used can be different. For example, when the first information is used to indicate whether the terminal has the capability of AI model parameter updating, any one of the methods (2)-(6) can be used, and if the first information is used to indicate the model structure deployed at the terminal side, the method in (7) is used at this time.

[0290] Embodiments of the present disclosure also propose an apparatus for implementing any one of the above methods, for example, an apparatus is proposed, which comprises units or modules for implementing each step performed by the terminal in any one of the above methods. For another example, another apparatus is proposed, which comprises units or modules for implementing each step performed by the network device (such as RAN, etc.) in any one of the above methods.

[0291] It should be understood that the division of each unit or module in the above apparatus is only a logical function division, and all or part of them can be integrated into a physical entity or physically separated in actual implementation. In addition, the units or modules in the apparatus can be implemented in the form of processor calling software: for example, the apparatus includes a processor connected with a memory, the memory stores instructions, and the processor calls the instructions stored in the memory to implement any of the above methods or realize the functions of each unit or module of the above apparatus, wherein the processor is, for example, a general processor such as a central processing unit (CPU) or a microprocessor, and the memory is a memory in the apparatus or a memory outside the apparatus. Or, the units or modules in the apparatus can be implemented in the form of hardware circuit, and the functions of part or all of the units or modules can be realized by the design of hardware circuit, and the above hardware circuit can be understood as one or more processors; for example, in one implementation, the above hardware circuit is an application-specific integrated circuit (ASIC), and the functions of part or all of the units or modules are realized by the design of logical relationship of elements in the circuit; for another example, in another implementation, the above hardware circuit is a programmable logic device (PLD), and a field programmable gate array (FPGA) is taken as an example, which can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by a configuration file, so as to realize the functions of part or all of the units or modules. All units or modules of the above apparatus can be implemented in the form of processor calling software, or all units or modules can be implemented in the form of hardware circuit, or part of the units or modules are implemented in the form of processor calling software, and the remaining part is implemented in the form of hardware circuit.

[0292] In the embodiments of the present disclosure, the processor is a circuit with signal processing capability. In one implementation, the processor can be a circuit with instruction reading and running capability, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), a digital signal processor (DSP), and the like. In another implementation, the processor can implement certain functions through a logical relationship of hardware circuits, and the logical relationship of the hardware circuits is fixed or can be reconfigured. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In the reconfigurable hardware circuit, the processor loads a configuration document to implement the configuration of the hardware circuit. It can be understood that the processor loads instructions to implement the functions of the above part or all 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), and the like.

[0293] FIG. 8A is a structural schematic diagram of a first network device according to an embodiment of the present disclosure. As shown in FIG. 8A, the first network device 8100 can include at least one of a transceiver module 8101, a processing module 8102, and the like. The first network device 8100 can include:

[0294] The transceiver module 8101 is configured to receive first information sent by a terminal, wherein the first information is used to indicate a capability of the terminal related to an artificial intelligence (AI) model.

[0295] In some embodiments of the present disclosure, the first information includes at least one of the following:

[0296] First reference information, wherein the first reference information is used to indicate whether the terminal has a capability of AI model parameter updating;

[0297] Second reference information, wherein the second reference information is used to indicate a model structure of an AI model deployed by the terminal and supporting parameter updating.

[0298] In some embodiments of the present disclosure, the transceiver module 8101 is configured to receive second information sent by the third network device, where the second information is used to indicate that the third network device supports AI model parameter updating.

[0299] In some embodiments of the present disclosure, the transceiver module 8101 is configured to receive third information sent by the third network device, where the third information is used to indicate that the third network device requests to obtain the first information.

[0300] In some embodiments of the present disclosure, the transceiver module 8101 is configured to send the first information to the second network device when the first condition is met.

[0301] In some embodiments of the present disclosure, the first condition is met by any one of the following:

[0302] the first information has been received from the terminal;

[0303] the terminal accesses the third network device;

[0304] the second information has been received from the third network device, where the second information is used to indicate that the third network device supports AI model parameter updating;

[0305] the third information has been received from the third network device, where the third information is used to indicate that the third network device requests to obtain the first information.

[0306] In some embodiments of the present disclosure, the processing module 8102 is configured to perform any one of the following:

[0307] the terminal is determined to switch from accessing the first network device to accessing the third network device;

[0308] the terminal is determined to access the third network device based on a random access manner.

[0309] FIG. 8B is a structural schematic diagram of a second network device according to an embodiment of the present disclosure. As shown in FIG. 8B, the second network device 8200 can include at least one of a transceiver module 8201, a processing module 8202, and the like. The second network device 8200 can include:

[0310] The processing module 8202 is configured to determine first information, where the first information is used to indicate the capability of the terminal related to an artificial intelligence (AI) model.

[0311] In some embodiments of the present disclosure, the first information includes at least one of the following:

[0312] first reference information, where the first reference information is used to indicate whether the terminal has the capability of AI model parameter updating;

[0313] The second reference information is used to indicate a model structure of an AI model deployed by the terminal and supporting parameter updating.

[0314] In some embodiments of the present disclosure, the transceiver 8201 is configured to receive the first information sent by the first network device.

[0315] In some embodiments of the present disclosure, the transceiver 8201 is configured to send the first information to the third network device when the second condition is met.

[0316] In some embodiments of the present disclosure, the second condition is met by any of the following:

[0317] It is determined that the terminal accesses the third network device.

[0318] The second information sent by the third network device has been received, and the second information is used to indicate that the third network device supports AI model parameter updating.

[0319] The third information sent by the third network device has been received, and the third information is used to indicate that the third network device requests to obtain the first information.

[0320] In some embodiments of the present disclosure, the processing module 8202 is configured to perform any of the following:

[0321] It is determined that the terminal switches from accessing the first network device to accessing the third network device.

[0322] It is determined that the terminal accesses the third network device based on a random access manner.

[0323] FIG. 8C is a structural schematic diagram of a third network device according to an embodiment of the present disclosure. As shown in FIG. 8C, the third network device 8300 can include at least one of a transceiver 8301, a processing module 8302, and the like. The third network device 8300 can include:

[0324] The processing module 8302 is configured to determine the first information, and the first information is used to indicate the capability of the terminal related to an artificial intelligence (AI) model.

[0325] In some embodiments of the present disclosure, the first information includes at least one of the following:

[0326] The first reference information is used to indicate whether the terminal has the capability of AI model parameter updating.

[0327] The second reference information is used to indicate a model structure of an AI model deployed by the terminal and supporting parameter updating.

[0328] In some embodiments of the present disclosure, the transceiver 8301 is configured to receive the first information sent by the terminal.

[0329] In some embodiments of the present disclosure, the transceiver module 8301 is configured to send second information to the first network device or the second network device, where the second information is used to indicate that the third network device supports AI model parameter updating.

[0330] In some embodiments of the present disclosure, the transceiver module 8301 is configured to send third information to the first network device or the second network device, where the third information is used to request the first information from the third network device.

[0331] In some embodiments of the present disclosure, the transceiver module 8301 is configured to receive the first information sent by the second network device.

[0332] FIG. 8D is a structural schematic diagram of a terminal according to an embodiment of the present disclosure. As shown in FIG. 8D, the terminal 8400 can include at least one of a transceiver module 8401, a processing module 8402, and the like. The terminal 8400 can include:

[0333] The transceiver module 8401 is configured to send first information to the first network device, where the first information is used to indicate the capability of the terminal related to an artificial intelligence (AI) model.

[0334] In some embodiments of the present disclosure, the first information includes at least one of the following:

[0335] First reference information, where the first reference information is used to indicate whether the terminal has the capability of AI model parameter updating;

[0336] Second reference information, where the second reference information is used to indicate the model structure of an AI model deployed by the terminal and supporting parameter updating.

[0337] In some embodiments of the present disclosure, the transceiver module 8401 is configured to access a third network device and send the first information to the third network device.

[0338] In some embodiments of the present disclosure, accessing the third network device includes any of the following:

[0339] Switching from accessing the first network device to accessing the third network device;

[0340] Accessing the third network device based on a random access manner.

[0341] In some embodiments, the transceiver module can include a sending module and / or a receiving module, which can be separate or integrated together. Optionally, the transceiver module can be replaced by a transceiver.

[0342] In some embodiments, the processing module can be one module, or can include multiple sub-modules. Optionally, the multiple sub-modules perform all or part of the steps required to be performed by the processing module, respectively. Optionally, the processing module can be mutually replaced with the processor.

[0343] FIG. 9A is a structural schematic diagram of a communication device according to an embodiment of the present disclosure. The communication device 9100 can be a terminal, or a network device, or a chip, chip system, or processor, etc. supporting the terminal to implement any of the above methods, or a chip, chip system, or processor, etc. supporting the network device to implement any of the above methods. The communication device 9100 can be used to implement the methods described in the above method embodiments, and details can be referred to the descriptions in the above method embodiments.

[0344] As shown in FIG. 9A, the communication device 9100 includes one or more processors 9101. The processor 9101 can be a general-purpose processor or a special-purpose processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process data of the programs. The communication device 9100 is used to execute any of the above methods.

[0345] In some embodiments, the communication device 9100 further includes one or more memories 9102 for storing instructions. Optionally, all or part of the memory 9102 can also be outside the communication device 9100.

[0346] In some embodiments, the communication device 9100 further includes one or more transceivers 9103. When the communication device 9100 includes one or more transceivers 9103, the transceiver 9103 performs at least one of the communication steps such as transmitting and / or receiving in the above methods, and the processor 9101 performs other steps.

[0347] In some embodiments, the transceiver can include a receiver and / or a transmitter, which can be separate or integrated together. Optionally, the terms of transceiver, transceiving unit, transceiver, transceiving circuit, etc. can be mutually replaced, and the terms of transmitter, transmitting unit, transmitter, transmitting circuit, etc. can be mutually replaced, and the terms of receiver, receiving unit, receiver, receiving circuit, etc. can be mutually replaced.

[0348] In some embodiments, the communication device 9100 can include one or more interface circuits 9104. Optionally, the interface circuits 9104 are connected with the memory 9102, and the interface circuits 9104 can be used to receive signals from the memory 9102 or other devices, and can be used to send signals to the memory 9102 or other devices. For example, the interface circuits 9104 can read instructions stored in the memory 9102 and send the instructions to the processor 9101.

[0349] The communication device 9100 in the above embodiments can be a terminal or a network device or a third entity, but the scope of the communication device 9100 described in the present disclosure is not limited thereto, and the structure of the communication device 9100 can not be limited by FIG. 9A. The communication device can be a standalone device or can be part of a larger device. For example, the communication device can be: 1) a standalone integrated circuit (IC), or a chip, or a chip system or subsystem; (2) a set of one or more ICs, which can optionally also include storage components for storing data, programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, a smart terminal device, a cellular phone, a wireless device, a handset, a mobile unit, a vehicle-mounted device, a network device, a cloud device, an artificial intelligence device, and the like; (6) other devices, and the like.

[0350] FIG. 9B is a structural diagram of a chip according to an embodiment of the present disclosure. For the case where the communication device 9100 is a chip or a chip system, the structure of the chip 9200 can be as shown in FIG. 9B, but is not limited thereto.

[0351] The chip 9200 includes one or more processors 9201, and the chip 9200 is configured to execute any of the above methods.

[0352] In some embodiments, the chip 9200 further includes one or more interface circuits 9202. Optionally, the interface circuits 9202 are connected with the memory 9203, and the interface circuits 9202 can be used to receive signals from the memory 9203 or other devices, and can be used to send signals to the memory 9203 or other devices. For example, the interface circuits 9202 can read instructions stored in the memory 9203 and send the instructions to the processor 9201.

[0353] In some embodiments, the interface circuits 9202 perform at least one of the communication steps such as sending and / or receiving in the above methods, and the processor 9201 performs other steps.

[0354] In some embodiments, the terms interface circuit, interface, transceiver pin, and transceiver can be replaced with each other.

[0355] In some embodiments, chip 9200 also includes one or more memories 9203 for storing instructions. Optionally, all or some of the memories 9203 can be external to chip 9200.

[0356] The disclosure also provides a storage medium having stored thereon instructions which, when executed by a communication device 9100, cause the communication device 9100 to perform any of the methods described above. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but this is not a requirement. Optionally, the storage medium can be a non-transitory storage medium, but this is not a requirement.

[0357] The disclosure also provides a program product which, when executed by a communication device 9100, causes the communication device 9100 to perform any of the methods described above. Optionally, the program product is a computer program product.

[0358] The disclosure also provides a computer program which, when executed on a computer, causes the computer to perform any of the methods described above.

[0359] In the embodiments described above, all or some of the steps can be implemented by software, hardware or firmware, or any combination thereof. When implemented by software, all or some of the steps can be implemented by one or more computer program products. When the computer program products are loaded into and executed by a computer, all or some of the steps described above are performed. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable apparatus capable of executing computer program products. The computer program products can be stored in a computer-readable storage medium, or transmitted by a computer-readable storage medium. For example, the computer program products can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (for example, coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (for example, infrared, wireless, microwave, etc.) manner. The computer-readable storage medium can be any available medium or a set of medium that is accessible by a computer, or a data storage device such as a server, data center, etc. that includes one or more available media. The available medium can be a magnetic medium (for example, floppy disk, hard disk, magnetic tape), an optical medium (for example, high-density digital video disc (DVD)), or a semiconductor medium (for example, solid state disk (SSD)), etc.

[0360] Those skilled in the art can clearly understand that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software manner depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the disclosure.

[0361] Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be described here.

[0362] The above is only a specific implementation of the present disclosure, but the protection scope of the present disclosure is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical scope disclosed by the present disclosure, which should be covered within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be subject to the protection scope of the claims.

Claims

1. A communication method, characterized in that, Performed by a first network device; the method includes: The receiving terminal sends first information, wherein the first information is used to indicate the terminal's capabilities related to an artificial intelligence (AI) model.

2. The method as described in claim 1, characterized in that, The first information includes at least one of the following: First reference information, wherein the first reference information is used to indicate whether the terminal has the ability to update AI model parameters; The second reference information is used to indicate the model structure of the AI ​​model deployed on the terminal and supporting parameter updates.

3. The method according to any one of claims 1-2, characterized in that, The method further includes: If the first condition is met, the first information is sent to the second network device.

4. The method according to any one of claims 1-3, characterized in that, The method further includes at least one of the following: Receive second information sent by a third network device, wherein the second information is used to instruct the third network device to support AI model parameter updates; Receive third information sent by a third network device, wherein the third information is used by the third network device to request the first information.

5. The method according to any one of claims 3-4, characterized in that, The first condition being met includes any one of the following: The first message sent by the terminal has been received; It is determined that the terminal is connected to a third network device; The second information sent by the third network device has been received, wherein the second information is used to instruct the third network device to support AI model parameter updates; The third information sent by the third network device has been received, wherein the third information is used by the third network device to request the first information.

6. The method as described in claim 5, characterized in that, The determination that the terminal accesses the third network device includes any one of the following: Determine whether the terminal switches from accessing the first network device to accessing the third network device; It is determined that the terminal accesses the third network device based on a random access method.

7. A communication method, characterized in that, Performed by a second network device; the method includes: Determine first information, wherein the first information is used to indicate the terminal's capabilities related to an artificial intelligence (AI) model.

8. The method as described in claim 7, characterized in that, The first information includes at least one of the following: First reference information, wherein the first reference information is used to indicate whether the terminal has the ability to update AI model parameters; The second reference information is used to indicate the model structure of the AI ​​model deployed on the terminal and supporting parameter updates.

9. The method according to any one of claims 7-8, characterized in that, The method further includes: Receive the first information sent by the first network device.

10. The method according to any one of claims 7-9, characterized in that, The method further includes: If the second condition is met, the first information is sent to the third network device.

11. The method as described in claim 10, characterized in that, The second condition being met includes any one of the following: It is determined that the terminal is connected to a third network device; The second information sent by the third network device has been received, wherein the second information is used to instruct the third network device to support AI model parameter updates; The third information sent by the third network device has been received, wherein the third information is used by the third network device to request the first information.

12. The method as described in claim 11, characterized in that, The determination that the terminal accesses the third network device includes any one of the following: Determine whether the terminal switches from accessing the first network device to accessing the third network device; It is determined that the terminal accesses the third network device based on a random access method.

13. A communication method, characterized in that, Performed by a third network device; the method includes: Determine first information, wherein the first information is used to indicate the terminal's capabilities related to an artificial intelligence (AI) model.

14. The method as described in claim 13, characterized in that, The first information includes at least one of the following: First reference information, wherein the first reference information is used to indicate whether the terminal has the ability to update AI model parameters; The second reference information is used to indicate the model structure of the AI ​​model deployed on the terminal and supporting parameter updates.

15. The method according to any one of claims 13-14, characterized in that, The method further includes: Receive the first information sent by the terminal.

16. The method according to any one of claims 13-15, characterized in that, The method further includes at least one of the following: Send a second message to a first network device or a second network device, wherein the second message is used to instruct the third network device to support AI model parameter updates; Send third information to a first network device or a second network device, wherein the third information is used by the third network device to request the first information.

17. The method according to any one of claims 13-16, characterized in that, The method further includes: Receive the first information sent by the second network device.

18. A communication method, characterized in that, Executed by a terminal; the method includes: Send first information to a first network device, wherein the first information is used to indicate the terminal's capabilities related to an artificial intelligence (AI) model.

19. The method as described in claim 18, characterized in that, The first information includes at least one of the following: First reference information, wherein the first reference information is used to indicate whether the terminal has the ability to update AI model parameters; The second reference information is used to indicate the model structure of the AI ​​model deployed on the terminal and supporting parameter updates.

20. The method according to any one of claims 18-19, characterized in that, The method further includes: Connect to a third network device; The first information is sent to the third network device.

21. The method as described in claim 20, characterized in that, The third network access device includes any one of the following: Switch from accessing the first network device to accessing the third network device; Access to a third network device is based on a random access method.

22. A communication method, characterized in that, The method includes: The terminal sends first information to the first network device, wherein the first information is used to indicate the terminal's capabilities related to an artificial intelligence (AI) model; The first network device receives the first information; The second and third network devices determine the first information.

23. A first network device, characterized in that, The first network device includes: The transceiver module is used to receive first information sent by the terminal, wherein the first information is used to indicate the terminal's capabilities related to an artificial intelligence (AI) model.

24. A second network device, characterized in that, The second network device includes: A processing module is used to determine first information, wherein the first information is used to indicate the terminal's capabilities related to an artificial intelligence (AI) model.

25. A third network device, characterized in that, The third network device includes: A processing module is used to determine first information, wherein the first information is used to indicate the terminal's capabilities related to an artificial intelligence (AI) model.

26. A terminal, characterized in that, The terminal includes: A transceiver module is used to send first information to a first network device, wherein the first information is used to indicate the terminal's capabilities related to an artificial intelligence (AI) model.

27. A communication device, characterized in that, include: One or more processors; The processor is used to execute the communication method according to any one of claims 1-22.

28. A storage medium storing instructions, characterized in that, When the instruction is executed on the communication device, the communication device performs the communication method as described in any one of claims 1-22.

29. A computer program product, characterized in that, It includes a computer program that, when executed by a processor, implements the communication method according to any one of claims 1-22.

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