Communication method, device, system and storage medium

Abstract

The invention relates to a communication method, device and system and a storage medium, the method can be executed by a terminal, the method comprises the following steps: sending first information, the first information being used for indicating a first function or a first characteristic and a first structure, the first function being an artificial intelligence (AI) function supported by the terminal, the first characteristic being an AI characteristic supported by the terminal, and the first structure being a first structure supported by the terminal; the first structure is an AI model structure supported by the terminal; second information is received, the second information comprises the model parameters of at least one AI model, and the second information is further used for indicating the AI function or the AI characteristic and the AI model structure corresponding to each model parameter; wherein the number of the first functions, the number of the first characteristics and the number of the first structures are all larger than or equal to one, and the AI function or the AI characteristic and the AI model structure corresponding to each model parameter are all the AI function or the AI characteristic and the AI model structure supported by the terminal. And the reliability of communication in a communication scene using the AI is ensured.

Description

Communication method, device, system and storage medium TECHNICAL FIELD

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

[0002] In the communication technology combined with artificial intelligence (AI) and machine learning (ML), the network side can transmit an AI model to a terminal after the AI model is trained. In order to reduce the implementation complexity of the terminal side, the model structure can be pre-deployed on the terminal side, and the network side only needs to transmit the model parameters corresponding to the model structure.

[0003] SUMMARY

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

[0005] According to a first aspect of the present disclosure, a communication method is provided, executed by a terminal, and the method comprises:

[0006] sending first information, the first information being used for indicating a first structure and a first function and / or a first characteristic, the first function being an artificial intelligence (AI) function supported by the terminal, the first characteristic being an AI characteristic supported by the terminal, and the first structure being an AI model structure supported by the terminal;

[0007] receiving second information, the second information comprising model parameters of at least one AI model, and the second information being further used for indicating an AI function and / or an AI characteristic and an AI model structure corresponding to each of the model parameters;

[0008] wherein the number of the first function and the first characteristic is greater than or equal to one, and the number of the first structure is greater than or equal to one, and the AI function and / or the AI characteristic and the AI model structure corresponding to each of the model parameters are all AI functions and / or AI characteristics and AI model structures supported by the terminal.

[0009] According to a second aspect of the present disclosure, a communication method is provided, executed by a network device, and the method comprises:

[0010] receiving first information, the first information being used for indicating a first structure and a first function and / or a first characteristic, the first function being an artificial intelligence (AI) function supported by the terminal, the first characteristic being an AI characteristic supported by the terminal, and the first structure being an AI model structure supported by the terminal;

[0011] transmit second information, the second information including model parameters of at least one AI model, the second information further indicating AI functions and / or AI features corresponding to each of the model parameters and AI model structures;

[0012] wherein the number of the first functions and the number of the first features are both greater than or equal to one, and the AI functions and / or the AI features corresponding to each of the model parameters and the AI model structures are AI functions and / or AI features and AI model structures supported by the terminal.

[0013] According to a third aspect of the embodiments of the present disclosure, a communication device is provided, including:

[0014] a transceiver configured to transmit first information, the first information indicating first structures and first functions and / or first features, the first functions being artificial intelligence (AI) functions supported by the terminal, the first features being AI features supported by the terminal, and the first structures being AI model structures supported by the terminal;

[0015] the transceiver is further configured to receive second information, the second information including model parameters of at least one AI model, the second information further indicating AI functions and / or AI features corresponding to each of the model parameters and AI model structures;

[0016] wherein the number of the first functions and the number of the first features are both greater than or equal to one, and the AI functions and / or the AI features corresponding to each of the model parameters and the AI model structures are AI functions and / or AI features and AI model structures supported by the terminal. According to a fourth aspect of the embodiments of the present disclosure, a communication device is provided, including:

[0017] a transceiver configured to receive first information, the first information indicating first structures and first functions and / or first features, the first functions being artificial intelligence (AI) functions supported by the terminal, the first features being AI features supported by the terminal, and the first structures being AI model structures supported by the terminal;

[0018] the transceiver is further configured to transmit second information, the second information including model parameters of at least one AI model, the second information further indicating AI functions and / or AI features corresponding to each of the model parameters and AI model structures;

[0019] The first function, the number of the first characteristics, and the number of the first structure are all greater than or equal to one, the AI function and / or the AI characteristic corresponding to each model parameter and the AI model structure are AI functions and / or AI characteristics and AI model structures supported by the terminal. According to a fifth aspect of the embodiments of the present disclosure, a communication device is provided, including:

[0020] one or more processors;

[0021] The communication device is configured to perform the communication method in the first aspect or the second aspect.

[0022] According to a sixth aspect of the embodiments of the present disclosure, a communication system is provided, including a network device and a terminal. The network device is configured to implement the communication method in the second aspect, and the terminal is configured to implement the communication method in the first aspect.

[0023] According to a seventh aspect of the embodiments of the present disclosure, a storage medium is provided, which stores instructions. When the instructions are run on a communication device, the communication device performs the communication method in the first aspect or the second aspect.

[0024] According to an eighth aspect of the embodiments of the present disclosure, a computer program product is provided, including a computer program and / or instructions. When the computer program and / or the instructions are executed by a communication device, the communication method in the first aspect or the second aspect is implemented.

[0025] In the above embodiments, the terminal can report the AI function or AI characteristic supported by the terminal and the model structure supported by the terminal to the network device, so that the network device can send the model parameters of the model supported by the terminal to the terminal, effectively ensuring that the terminal can effectively utilize the model parameters transmitted by the network device, avoiding waste of communication resources, and ensuring the reliability of communication in the communication scenario using AI. BRIEF DESCRIPTION OF DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following describes the drawings required for the embodiments, and the following drawings are only some embodiments of the present disclosure, and do not specifically limit the protection scope of the present disclosure.

[0027] FIG. 1 is an exemplary schematic diagram of an architecture of a communication system according to an embodiment of the present disclosure.

[0028] FIG. 2 is an exemplary interactive schematic diagram of a communication method according to an embodiment of the present disclosure.

[0029] FIG. 3A is an exemplary flow diagram of a communication method according to an embodiment of the present disclosure.

[0030] FIG. 3B is an example flow diagram of a communication method according to embodiments of the present disclosure.

[0031] FIG. 4 is an example flow diagram of a communication method according to embodiments of the present disclosure.

[0032] FIG. 5 is an example interaction diagram of a communication method according to embodiments of the present disclosure.

[0033] FIG. 6A is an example flow diagram of a communication method according to embodiments of the present disclosure.

[0034] FIG. 6B is an example diagram of a mapping relationship between AI functions or AI features and AI model structures according to embodiments of the present disclosure.

[0035] FIG. 6C is another example diagram of a mapping relationship between AI functions or AI features and AI model structures according to embodiments of the present disclosure.

[0036] FIG. 7A is an example structural diagram of a terminal according to embodiments of the present disclosure.

[0037] FIG. 7B is an example structural diagram of a network device according to embodiments of the present disclosure.

[0038] FIG. 8A is an example structural diagram of a communication device according to embodiments of the present disclosure.

[0039] FIG. 8B is an example structural diagram of a communication device according to embodiments of the present disclosure. DETAILED DESCRIPTION

[0040] Embodiments of the present disclosure provide a communication method, device, system and storage medium.

[0041] sending first information, the first information being used to indicate a first structure and a first function and / or a first feature, the first function being an artificial intelligence (AI) function supported by the terminal, the first feature being an AI feature supported by the terminal, and the first structure being an AI model structure supported by the terminal;

[0042] receiving second information, the second information including model parameters of at least one AI model, and the second information being used to indicate an AI function and / or an AI feature corresponding to each model parameter and an AI model structure;

[0043] wherein a number of the first function and the first feature and a number of the first structure are both greater than or equal to one, and the AI function and / or the AI feature corresponding to each model parameter and the AI model structure are AI functions and / or AI features supported by the terminal and AI model structures supported by the terminal.

[0044] In the above embodiment, the terminal can report the AI function and / or AI feature supported by the terminal and the model structure supported by the terminal to the network device, so that the network device can send the model parameters of the model supported by the terminal to the terminal, effectively ensuring that the terminal can effectively utilize the model parameters transmitted by the network device, avoiding waste of communication resources, and ensuring the reliability of communication in the communication scenario using AI.

[0045] In some embodiments of the first aspect, each of the first function and / or the first feature is associated with one or more of the first structures, and each of the first structures is associated with one or more of the first function and / or the first feature.

[0046] The first information is further used to indicate an association relationship between each of the first function and / or the first feature and each of the first structures.

[0047] In the above embodiment, the terminal can also support the association relationship between the AI function or AI feature supported by the terminal and the AI model structure, which can effectively ensure that the terminal can accurately know which AI function or AI feature and AI model structure the model parameters indicated by the network correspond to.

[0048] In some embodiments of the first aspect, each of the first structures has a unique structure identifier, each of the first functions has a unique function identifier, and each of the first features has a unique feature identifier.

[0049] In the above embodiment, the structures supported by the terminal can be identified by the structure identifier, and the functions or features supported by the terminal can be identified by the function identifier or the feature identifier, which can effectively reduce the complexity and improve the information processing efficiency.

[0050] In some embodiments of the first aspect, the first information includes the structure identifier of each of the first structures, and the function identifier of each of the first functions and / or the feature identifier of each of the first features.

[0051] In the above embodiment, the terminal can indicate the structure identifier of each of the model structures supported by the terminal and the function identifier of the AI function or the feature identifier of the AI function to the network device through the first information, so that the network device can effectively know the terminal capability.

[0052] In some embodiments of the first aspect, each of the first structures is associated with one of the first functions and / or the first features, and the second information includes the structure identifier corresponding to each of the model parameters.

[0053] The method comprises:

[0054] For any one of the model parameters, according to the structure identifier corresponding to the model parameter, determining the AI model structure corresponding to the model parameter, and the function identifier and / or the characteristic identifier corresponding to the model parameter;

[0055] According to the function identifier and / or the characteristic identifier corresponding to the model parameter, determining the AI function and / or the AI characteristic corresponding to the model parameter.

[0056] In the above embodiment, the network device can indicate the structure identifier corresponding to each model parameter through the second information, and the terminal can determine the function identifier or the characteristic identifier corresponding to each structure identifier based on the corresponding association relationship, and then accurately determine the AI model structure and the AI function or the AI characteristic corresponding to each model parameter, effectively ensuring the reliability of model deployment.

[0057] In combination with some embodiments of the first aspect, in some embodiments, the second information comprises the function identifier and / or the characteristic identifier and the structure identifier corresponding to each model parameter;

[0058] The method comprises:

[0059] For any one of the model parameters, according to the structure identifier corresponding to the model parameter, determining the AI model structure corresponding to the model parameter;

[0060] According to the function identifier and / or the characteristic identifier corresponding to the model parameter, determining the AI function and / or the AI characteristic corresponding to the model parameter.

[0061] In the above embodiment, the network device can indicate the structure identifier and the function identifier or the characteristic identifier corresponding to each model parameter through the second information, and the terminal can still accurately determine the AI model structure and the AI function or the AI characteristic corresponding to each model parameter when there is no association relationship between the model structure and the model function or the model characteristic, or when one model structure is associated with multiple functions or characteristics, effectively ensuring the reliability of model deployment.

[0062] In the second aspect, the embodiments of the present disclosure provide a communication method, executed by a network device, the method comprising:

[0063] receiving first information, the first information being used to indicate a first structure and a first function and / or a first characteristic, the first function being an artificial intelligence AI function supported by a terminal, the first characteristic being an AI characteristic supported by the terminal, and the first structure being an AI model structure supported by the terminal;

[0064] transmit second information, the second information including model parameters of at least one AI model, the second information further being used to indicate AI functions and / or AI characteristics corresponding to each model parameter and AI model structures;

[0065] wherein the number of the first functions, the number of the first characteristics, and the number of the first structures are all greater than or equal to one, and the AI functions and / or the AI characteristics corresponding to each model parameter and the AI model structures are AI functions and / or AI characteristics and AI model structures supported by the terminal.

[0066] In some embodiments in combination with the second aspect, in some embodiments, each first function and / or each first characteristic is associated with one or more first structures, and each first structure is associated with one or more first functions and / or one or more first characteristics.

[0067] The first information is further used to indicate an association relationship between each first function and / or each first characteristic and each first structure.

[0068] In some embodiments in combination with the second aspect, in some embodiments, each first structure has a unique structure identifier, each first function has a unique function identifier, and each first characteristic has a unique characteristic identifier.

[0069] In some embodiments in combination with the second aspect, in some embodiments, the first information includes a structure identifier of each first structure, and a function identifier of each first function and / or a characteristic identifier of each first characteristic.

[0070] In some embodiments in combination with the second aspect, in some embodiments, each first structure is associated with one first function and / or one first characteristic, and the second information includes a structure identifier corresponding to each model parameter.

[0071] In some embodiments in combination with the second aspect, in some embodiments, the second information includes a function identifier and / or a characteristic identifier and a structure identifier corresponding to each model parameter.

[0072] In a third aspect, the embodiments of the present disclosure provide a communication device, comprising:

[0073] a transceiver configured to transmit first information, the first information being used to indicate first structures and first functions and / or first characteristics, the first functions being artificial intelligence (AI) functions supported by the terminal, the first characteristics being AI characteristics supported by the terminal, and the first structures being AI model structures supported by the terminal;

[0074] The transceiver module is further configured to receive second information, the second information including model parameters of at least one AI model, the second information further being used to indicate AI functions and / or AI features and AI model structures corresponding to each of the model parameters;

[0075] The number of the first functions and the number of the first features are both greater than or equal to one, and the AI functions and / or the AI features and the AI model structures corresponding to each of the model parameters are AI functions and / or AI features and AI model structures supported by the terminal.

[0076] In a fourth aspect, an embodiment of the present disclosure provides a communication device, including:

[0077] The transceiver module is configured to receive first information, the first information being used to indicate first structures and first functions and / or first features, the first functions being AI functions supported by the terminal, the first features being AI features supported by the terminal, and the first structures being AI model structures supported by the terminal.

[0078] The transceiver module is further configured to send second information, the second information including model parameters of at least one AI model, the second information further being used to indicate AI functions and / or AI features and AI model structures corresponding to each of the model parameters.

[0079] The number of the first functions and the number of the first features are both greater than or equal to one, and the AI functions and / or the AI features and the AI model structures corresponding to each of the model parameters are AI functions and / or AI features and AI model structures supported by the terminal.

[0080] In a fifth aspect, an embodiment of the present disclosure provides a communication device, including:

[0081] One or more processors;

[0082] The communication device is configured to perform the communication method of the first aspect or the second aspect.

[0083] In a sixth aspect, an embodiment of the present disclosure provides a communication system, including: a terminal, a network device; wherein the terminal is configured to perform the method described in the optional implementation manner of the first aspect, and the network device is configured to perform the method described in the optional implementation manner of the second aspect.

[0084] In a seventh aspect, an embodiment of the present disclosure provides a storage medium, the storage medium storing instructions, when the instructions run on a communication device, causing the communication device to perform the method described in the optional implementation manner of the first aspect and the second aspect.

[0085] In an eighth aspect, the embodiments of the present disclosure provide a computer program product, comprising a computer program and / or instructions, which, when executed by a communication device, cause the communication device to perform the method described in the optional implementation manners of the first aspect and the second aspect.

[0086] In a ninth aspect, the embodiments of the present disclosure provide a computer program, which, when executed on a computer, causes the computer to perform the method described in the optional implementation manners of the first aspect and the second aspect.

[0087] In a tenth aspect, the embodiments of the present disclosure provide a chip or chip system. The chip or chip system comprises processing circuitry configured to perform the method described in the first aspect and the second aspect.

[0088] It can be understood that the terminal, the network device, the communication system, the storage medium, the program product, the computer program, the chip or the chip system are all used to execute the method proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved are referred to the beneficial effects in the corresponding method, which will not be described here.

[0089] The embodiments of the present disclosure propose a communication method, a communication device, a communication system and a storage medium. In some embodiments, the terms of the communication method, the information processing method, the model mapping method and the model parameter indication method can be replaced with each other, the terms of the communication device, the information processing device and the model parameter indication device can be replaced with each other, and the terms of the information processing system and the communication system can be replaced with each other.

[0090] 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, some or all steps of different embodiments can be combined arbitrarily, and an embodiment can be combined with the optional implementation manners of other embodiments.

[0091] In each embodiment of the present disclosure, the terms and / or descriptions between the embodiments are consistent if there is no special description and logical conflict, and can be referred to each other, and the technical features in different embodiments can be combined to form a new embodiment according to their inherent logical relationship.

[0092] 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.

[0093] In the embodiments of the present disclosure, an element expressed in singular form, such as "a", "an", "the", "said", "the aforementioned", "the foregoing", "this", and the like, can represent "one and only one", or can represent "one or more", "at least one", and the like, unless otherwise specified. For example, in the case of using articles such as "a", "an", "the" in English, the noun after the article can be understood as a singular expression, or can be understood as a plural expression.

[0094] In the embodiments of the present disclosure, "plurality" refers to two or more.

[0095] In some embodiments, the terms "at least one of", "one or more of", "a plurality of", "multiple", and the like can be replaced with each other.

[0096] In some embodiments, the description manner such as "at least one of A, B", "A and / or B", "A in one case, B in another case", "in response to a case A, in response to another case B", and the like can include the following technical solutions according to the case: A in some embodiments (A is executed regardless of B); B in some embodiments (B is executed regardless of A); A and B are selectively executed in some embodiments (A and B are selected from A and B); A and B are executed in some embodiments (A and B are executed). When there are more branches such as A, B, C, and the like, the above is similar.

[0097] In some embodiments, the description manner such as "A or B" and the like can include the following technical solutions according to the case: A in some embodiments (A is executed regardless of B); B in some embodiments (B is executed regardless of A); A and B are selectively executed in some embodiments (A and B are selected from A and B). When there are more branches such as A, B, C, and the like, the above is similar.

[0098] The prefix words "first", "second", etc. in the embodiments of the present disclosure are merely used to distinguish different description objects, and do not constitute limitation on the position, sequence, 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 redundant 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 sequence between "fields". "First" and "second" do not limit whether the "fields" modified thereby are in the same message, nor do they limit the sequence 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.

[0099] In some embodiments, "including A", "containing A", "for indicating A", "carrying A" can be interpreted as directly carrying A, or indirectly indicating A.

[0100] In some embodiments, the terms "time / frequency", "time / frequency domain" and the like refer to the time domain and / or the frequency domain.

[0101] 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.

[0102] 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 lower 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.

[0103] In some embodiments, an apparatus or the like can be interpreted as an entity, and can also be interpreted as virtual, and the name thereof is not limited to the name described in the embodiments. The terms "apparatus", "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject" and the like can be replaced with each other.

[0104] In some embodiments, a "network" can be interpreted as an apparatus (for example, an access network device, a core network device, and the like) included in the network.

[0105] In some embodiments, the terms "access network device (AN device)", "radio access network device (RAN device)", "base station (BS)", "radio base station", "fixed station", "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission / reception point (TRP)", "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)" and the like can be replaced with each other.

[0106] In some embodiments, the terms "terminal," "terminal device," "user equipment (UE)," "user terminal," "mobile station (MS)," "mobile terminal (MT)," "subscriber station," "mobile unit," "subscriber unit," "wireless unit," "remote unit," "mobile device," "wireless device," "wireless communication device," "remote device," "mobile subscriber station," "access terminal," "mobile terminal," "wireless terminal," "remote terminal," "handset," "user agent," "mobile client," "client," and so on can be replaced with each other.

[0107] In some embodiments, the access network device, the core network device, or the network device can be replaced with a terminal. For example, the embodiments of the present disclosure can also be applied to a structure in which communication between the access network device, the core network device, or the network device and the terminal is replaced with communication between a plurality of terminals (e.g., device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, the terminal can also be configured to have all or part of the functions of the access network device. In addition, the terms "uplink," "downlink," and the like can also be replaced with terms corresponding to the inter-terminal communication (e.g., "side"). For example, the uplink channel, the downlink channel, and the like can be replaced with the side channel, and the uplink, the downlink, and the like can be replaced with the sidelink.

[0108] In some embodiments, the terminal can be replaced with the access network device, the core network device, or the network device. In this case, the access network device, the core network device, or the network device can also be configured to have all or part of the functions of the terminal.

[0109] In some embodiments, obtaining data, information, and the like can comply with laws and regulations of the country where the location is.

[0110] In some embodiments, data, information, and the like can be obtained after obtaining the consent of the user.

[0111] In addition, each element, each row, or each column in the table of the embodiments of the present disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0112] FIG. 1 is an architecture schematic diagram of a communication system according to an embodiment of the present disclosure. As shown in FIG. 1, the communication system 100 includes a terminal 101 and a network device 102. Optionally, the network device 102 can include an access network device, a core network device.

[0113] 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 Pad, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in smart grid, a wireless terminal device in transportation safety, a wireless terminal device in smart city, a wireless terminal device in smart home, and the like, but is not limited thereto.

[0114] In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network, and the access network device can include at least one of 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 base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, an access node in a Wi-Fi system, but is not limited thereto.

[0115] In some embodiments, the technical solutions of the present disclosure can be applicable to an Open RAN architecture, at this time, 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 realized through software or programs.

[0116] In some embodiments, the access network device can be composed of a central unit (CU) and a distributed unit (DU), wherein 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, and the functions of part of the protocol layers are controlled by the CU, and the functions of the remaining part or all of the protocol layers are distributed in the DU and controlled by the CU, but are not limited thereto.

[0117] In some embodiments, the core network device 103 can be one device including the first network element 1031, the second network element 1032, and the like, or can be a plurality of devices or device groups including all or part of the first network element 1031, the second network element 1032, and the like, respectively. The network element can be virtual or physical. The core network includes at least one of an evolved packet core (EPC), a 5G core network (5GCN), a next generation core (NGC), and the like.

[0118] 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 in the embodiments of the present disclosure. It can be known by those skilled in the art that, as the system architecture evolves and new business scenarios appear, the technical solutions proposed in the embodiments of the present disclosure are also applicable to similar technical problems.

[0119] 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 FIG. 1. The number and form of each subject is arbitrary, each subject can be physical or virtual, the connection relationship between each subject is exemplary, each subject can not be connected or can be connected, the connection can be in any way, can be direct connection or indirect connection, can be wired connection or wireless connection.

[0120] 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. In addition, a plurality of systems can be combined (for example, combination of LTE or LTE-A and 5G, and the like).

[0121] In some embodiments, in the research of wireless AI, the AI model structure of the present application can be applied to include but not limited to AI-based CSI enhancement, AI-based beam management, AI-based positioning, and the like.

[0122] In some embodiments, three concepts of AI / ML feature, AI / ML functionality and AI model are defined. For AI / ML feature, it can be a certain UE feature that is empowered by AI / ML. For functionality, it can be determined by the division of some key parameters. And these key parameters are all contained in the UE capability information. And AI model is an AI algorithm, that is, an algorithm that obtains target output parameters through input parameters. Generally, an AI / ML feature can contain an AI / ML functionality. An AI / ML functionality can contain one or more AI models.

[0123] In some embodiments, the AI model is associated with the AI functionality or the AI feature. However, the association relationship between the AI model structure, the AI model parameter and the AI functionality or the AI feature is not clear.

[0124] FIG. 2 is an interaction diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 2, the embodiment of the present disclosure relates to a communication method, and the method comprises:

[0125] In step S2101, the terminal sends first information to the network device.

[0126] In some embodiments, the first information is used to indicate the first functionality and / or the first feature supported by the terminal and the first structure. Optionally, the first functionality is an AI functionality supported by the terminal, the first feature is an AI feature supported by the terminal, and the first structure is an AI model structure supported by the terminal.

[0127] In some embodiments, the first information can only indicate any one of the first functionality and the first feature supported by the terminal, or can indicate the first functionality and the first feature supported by the terminal. In some embodiments, the AI functionality and the AI feature correspond to each other. If a terminal supports a certain AI functionality, the terminal also supports the corresponding AI feature. Or, if a terminal supports a certain AI feature, the terminal also supports the corresponding AI functionality. That is, according to the AI functionality supported by the terminal, the AI feature supported by the terminal can be inferred, or according to the AI feature supported by the terminal, the AI functionality supported by the terminal can also be inferred.

[0128] In some embodiments, the AI functionality or the AI feature supported by the terminal can be a specific functionality or feature that can be implemented by the terminal. For example, the terminal can support AI functionality such as CSI compression and recovery, image recognition, beam prediction, etc.

[0129] In some embodiments, the AI model structure supported by the terminal can be a model structure pre-deployed by the terminal. For example, the terminal can pre-deploy the structures of multiple models, and then the network device only needs to send the parameters of the model to the terminal to enable the terminal to perform inference based on the model.

[0130] In some embodiments, each first function and / or first feature is associated with one or more first structures, and each first structure is associated with one or more first functions and / or first features. That is, a certain function or feature can be implemented using one or more corresponding model structures, and the same model structure can be used to implement different functions or features.

[0131] In some embodiments, the first information is further used to indicate the association relationship between each first function (or first feature) and each first structure. Alternatively, there can be no association relationship between each first function or first feature and each first structure. Alternatively, there can be a certain association relationship between each first function or first feature and each first structure.

[0132] In some embodiments, each first structure has a unique structure identifier, each first function has a unique function identifier, and each first feature has a unique feature identifier. Alternatively, the first information includes the structure identifier of each first structure, and the function identifier of each first function and / or the feature identifier of each first feature.

[0133] Alternatively, there can be no association relationship between the first structure and the first function and / or the first feature. The first information can send the function identifier of each first function and the function identifier of each first function and / or the feature identifier of each first feature respectively.

[0134] Alternatively, there can be an association relationship between the first structure and the first function and / or the first feature. The first information can include the function identifier corresponding to each first function (or the feature identifier corresponding to the first feature), and the structure identifier of one or more first structures associated with each first function (or first feature).

[0135] For example, if the terminal supports 4 AI model structures and 4 AI functionalities (or AI features), the first information can include 4 structure identifiers and 4 functionality identifiers, each structure identifier uniquely corresponding to a first structure, and each functionality identifier uniquely corresponding to a first functionality. The terminal can report the supported model structures {model structure#1, model structure#2, … model structure#4} and the supported AI functionalities {AI functionality#1, AI functionality#2, … AI functionality#4} through the first information. In this way, the network device can determine which AI model structures and AI functionalities (or AI features) the terminal supports, and the identifiers of the AI model structures and AI functionalities (or AI features).

[0136] It can be understood that, since each first functionality or first feature has a unique identifier, each functionality identifier or feature identifier can be associated with one or more first structures. Moreover, since each first structure associated with any one first functionality or first feature has a different structure identifier, one functionality identifier or feature identifier can also be associated with one or more structure identifiers, and the structure identifiers of the first structures corresponding to the associated functionality identifier or feature identifier are all different from the structure identifiers of other first structures, i.e., each first structure has a unique structure identifier.

[0137] In some embodiments, one first structure or structure identifier can be associated with different AI functionalities or AI features, or one first structure or structure identifier can be associated with multiple functionality identifiers or feature identifiers. For example, a certain first structure can be associated with functionality A and functionality B at the same time, and the structure identifiers associated with the functionality A are all different, and the structure identifiers associated with the functionality B are also all different.

[0138] For example, if the terminal supports function A and function B, and also supports structure C, structure D and structure E, where function A is associated with structure C and structure D, and function B is associated with structure D and structure E, structure C has structure identifier 1, structure D has structure identifier 2, and structure E has structure identifier 3. Accordingly, the first information can include function identifier 1 corresponding to function A, function identifier 2 corresponding to function B, structure identifier 1 and structure identifier 2 corresponding to structure C and structure D associated with function A, structure identifier 2 and structure identifier 3 corresponding to structure D and structure E associated with function B, and the association between each function identifier and structure identifier, i.e., function identifier 1 is associated with structure identifier 1 and structure identifier 2, and function identifier 2 is associated with structure identifier 1 and structure identifier 2. For example, the terminal can report {AI functionality#1, model structure#1, model structure#2}, {AI functionality#2, model structure#3}.

[0139] In some embodiments, a first structure or structure identifier can be associated with a first function or first feature, or a first structure or structure identifier can be associated with a function identifier or feature identifier. In this way, the unique AI feature or AI function associated with each structure identifier can be determined according to each structure identifier.

[0140] For example, if function A is associated with structure C and structure D, and function B is associated with structure E, structure identifier C can have structure identifier 1, structure D can have structure identifier 2, and structure E can have structure identifier 3. Accordingly, the first information can include function identifier 1 corresponding to function A, function identifier 2 corresponding to function B, structure identifier 1 corresponding to structure C, structure identifier 2 corresponding to structure D, and structure identifier 3 corresponding to structure E, and the association between each function identifier and structure identifier. That is, function identifier 1 is associated with structure identifier 1 and structure identifier 2, and function identifier 2 is associated with structure identifier 3. For example, the terminal can report {AI functionality#1, model structure#1, model structure#2}, {AI functionality#2, model structure#3}.

[0141] It is worth noting that the first structure can belong to one or more candidate structure sets, each candidate structure set can include multiple model structures, and different model structures in the same candidate structure set can only differ in the output part. For example, when different AI functions or AI characteristics are implemented based on the same candidate structure set, different candidate structures in the structure set can be used to match the output type requirements of different AI functions or AI characteristics.

[0142] In an example, the candidate structure set can include two candidate structures, and the structure identifiers corresponding to the two candidate structures are structure identifier 1 and structure identifier 2, respectively. If the terminal supports the two model structures, the terminal can report the structure identifiers corresponding to the two model structures to the network device through the first information. Optionally, if the structure identifier 1 and the structure identifier 2 are associated with the functions or characteristics supported by the terminal, the terminal can also report the association to the network device.

[0143] In some embodiments, the terms “association”, “mapping relationship”, “correspondence”, “binding relationship” and the like can be replaced with each other.

[0144] In some embodiments, “associated with”, “corresponding to”, “mapped to”, “bound to” and the like can be replaced with each other.

[0145] In some embodiments, the first information can be referred to as “AI capability information”, “model identifier information”, “mapping information” and the like, and the name of the embodiment of the present disclosure is not limited.

[0146] Step S2102, the network device sends second information to the terminal.

[0147] In some embodiments, the second information includes model parameters of at least one AI model. Optionally, the model parameters of each AI model included in the second information correspond to AI function and / or AI characteristic and AI model structure, which are AI function and / or AI characteristic and AI model structure supported by the terminal.

[0148] In some embodiments, the network device can send to the terminal what second information can be determined based on the first information. Optionally, the second information sent by the network device to the terminal can be determined based on the association relationship between the first structure and the first function (or based on the association relationship between the first structure and the first characteristic). For example, if the first structure has no association relationship with the first function or the first characteristic, the second information can include the structure identifier corresponding to each model parameter and the function identifier (or the structure identifier corresponding to each model parameter and the characteristic identifier); if the first structure has an association relationship with the first function or the first characteristic, the second information can only include the structure identifier corresponding to each model parameter, and the terminal can determine the associated first function or first characteristic according to the structure identifier; or the second information can include the function identifier or characteristic identifier corresponding to each model parameter, and the structure identifier associated with the function identifier or characteristic identifier.

[0149] In some embodiments, the second information is used to indicate the AI function (or AI characteristic) corresponding to the model parameter of each AI model and the AI model structure included in the second information. Optionally, the second information is used to indicate at least one of the function identifier, the characteristic identifier, and the structure identifier corresponding to the model parameter of each AI model included in the second information.

[0150] In some embodiments, the second information includes the structure identifier and the function identifier corresponding to each model parameter (or the structure identifier and the characteristic identifier corresponding to each model parameter). At this time, there can be no association relationship between the first function (or the first characteristic) and the first structure, or the first information does not include the association relationship between the first function (or the first characteristic) and the first structure, or one structure identifier corresponds to multiple first functions (or first characteristics). In some embodiments, the second information includes the structure identifier corresponding to each model parameter. At this time, each first structure is associated with one first function or first characteristic, that is, one structure identifier can be uniquely associated with one first function or first characteristic, or one structure identifier can be uniquely associated with one function identifier or characteristic identifier.

[0151] In some embodiments, the second information can be referred to as "parameter indication information", "parameter association information", and the like, and the name of the embodiment of the present disclosure is not limited.

[0152] Step S2103, the terminal determines the AI function and / or AI characteristic corresponding to each model parameter and the AI model structure according to the second information.

[0153] In some embodiments, the second information includes the function identifier and / or characteristic identifier and the structure identifier corresponding to each model parameter, and for any one model parameter, the terminal can determine the AI function and / or AI characteristic corresponding to the model parameter according to the function identifier and / or characteristic identifier corresponding to the model parameter.

[0154] The terminal can determine the AI model structure corresponding to the model parameter according to the structure identifier corresponding to the model parameter.

[0155] It can be understood that one model parameter can correspond to only one AI model structure and one AI function or AI feature. After the model parameter is deployed to the AI model structure corresponding to the model parameter, an AI model can be obtained, and the AI model can be used to implement the AI function or AI feature corresponding to the model parameter.

[0156] At this time, there can be no association relationship between the first function or feature and the first structure, or the first information does not include the association relationship between the first function or feature and the first structure, or one first structure or structure identifier is associated with different functions or features, or one first structure or structure identifier can be associated with different function identifiers or feature identifiers.

[0157] In the case where one first structure or structure identifier is associated with different functions or features, or one first structure or structure identifier can be associated with different function identifiers or feature identifiers, the structure identifier corresponding to each model parameter is associated with the function identifier or feature identifier corresponding to the model parameter.

[0158] For example, if the second information indicates that a certain model parameter corresponds to structure identifier 1 and function identifier (or feature identifier) 3, the terminal can determine that the model parameter is used for the model structure corresponding to structure identifier 1, and is used to implement the AI function corresponding to function identifier 3.

[0159] Alternatively, one first structure or structure identifier can be associated with different functions or features, or one first structure or structure identifier can be associated with different function identifiers or feature identifiers. The second information includes the function identifier and the structure identifier corresponding to each model parameter, or the second information includes the feature identifier and the structure identifier corresponding to each model parameter. The structure identifier corresponding to the model parameter is associated with the function identifier or feature identifier corresponding to the model parameter.

[0160] In some embodiments, the second information includes the structure identifier corresponding to each model parameter. For any one model parameter, the terminal can determine the AI model structure corresponding to the model parameter and the function identifier and / or feature identifier according to the structure identifier corresponding to the model parameter.

[0161] According to the function identifier and / or feature identifier corresponding to the model parameter, the AI function and / or AI feature corresponding to the model parameter are determined.

[0162] At this time, each first structure is associated with a first function or each first structure is associated with a first characteristic, and the second information includes a structure identifier corresponding to each model parameter.

[0163] For example, if the second information indicates that a certain model parameter corresponds to structure identifier 2, the terminal can determine the function identifier and / or the characteristic identifier corresponding to the structure identifier 2 according to the structure identifier 2, for example, the function identifier corresponding to the structure identifier 2 is function identifier 8, and then the terminal can determine that the model parameter is used for the model structure corresponding to the structure identifier 2, and is used to implement the AI function corresponding to the function identifier 8.

[0164] In some embodiments, the names of information and the like are not limited to the names described in the embodiments, and the terms of "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "code point", "bit", "data", "program", "chip", and the like can be replaced with each other.

[0165] In some embodiments, "acquire", "obtain", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be replaced with each other, which can be interpreted as receiving from other subjects, acquiring from protocols, acquiring from higher layers, obtaining by self-processing, autonomously implementing, and the like.

[0166] In some embodiments, the terms of "send", "transmit", "report", "issue", "transmit", "bidirectional transmission", "send and / or receive" can be replaced with each other.

[0167] In some embodiments, the terms "certain", "preset", "pre-set", "set", "indicated", "any", "first", and the like can be replaced with each other, and "certain A", "preset A", "pre-set A", "set A", "indicated A", "any A", "first A" can be interpreted as A predetermined in a protocol or the like, or A obtained by setting, configuration, or indication, or a specific A, any A, or first A, but are not limited thereto.

[0168] In some embodiments, the determination or judgment can be made by a value represented by 1 bit (0 or 1), or by a true or false value (Boolean value) represented by true or false, or by comparison of numerical values (for example, comparison with a predetermined value), but is not limited thereto.

[0169] In some embodiments, "not expected to receive" can be interpreted as not receiving on the time domain resource and / or the frequency domain resource, or as not performing subsequent processing on the data or the like after receiving the data or the like; "not expected to send" can be interpreted as not sending, or as sending but not expecting the receiver to respond to the content of the sending.

[0170] The communication method related to the embodiments of the present disclosure can include at least one of steps S2101-S2103. For example, step S2102 can be implemented as an independent embodiment, step S2103 can be implemented as an independent embodiment, step S2102+step S2103 can be implemented as an independent embodiment, step S2101+step S2102 can be implemented as an independent embodiment, but is not limited thereto.

[0171] In some embodiments, steps S2102 and S2103 are optional, and one or more of these steps can be omitted or replaced in different embodiments.

[0172] In the embodiments of the present disclosure, part or all of the steps, or optional implementation manners thereof, can be combined with part or all of the steps in other embodiments, or combined with optional implementation manners of other embodiments.

[0173] In some embodiments, other optional implementation manners described before or after the description corresponding to FIG. 2 can be referred to.

[0174] FIG. 3A is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 3A, the embodiments of the present disclosure relate to a communication method (terminal side), and the above method includes:

[0175] Step S3101: transmitting first information.

[0176] The optional implementation of step S3101 can refer to the optional implementation of step S2101 in FIG. 2 and other associated parts in the embodiments involved in FIG. 2, which will not be repeated here.

[0177] In some embodiments, the terminal transmits the first information to the network device, but is not limited thereto, and can also transmit the first information to other subjects.

[0178] Step S3102: obtaining second information.

[0179] The optional implementation of step S3102 can refer to the optional implementation of step S2102 in FIG. 2 and other associated parts in the embodiments involved in FIG. 2, which will not be repeated here.

[0180] In some embodiments, the terminal receives the second information transmitted by the network device, but is not limited thereto, and can also receive the second information transmitted by other subjects.

[0181] Step S3103: determining, according to the second information, an AI function and / or AI characteristic corresponding to each model parameter and an AI model structure.

[0182] The optional implementation of step S3103 can refer to the optional implementation of step S2103 in FIG. 2 and other associated parts in the embodiments involved in FIG. 2, which will not be repeated here.

[0183] The communication method involved in the embodiments of the present disclosure can include at least one of steps S3101-S3103. For example, step S3102 can be implemented as an independent embodiment, step S3103 can be implemented as an independent embodiment, step S3102+step S3103 can be implemented as an independent embodiment, step S3101+step S3102 can be implemented as an independent embodiment, but is not limited thereto.

[0184] In some embodiments, steps S3102 and S3103 are optional, and one or more of these steps can be omitted or replaced in different embodiments.

[0185] In the embodiments of the present disclosure, part or all of the steps and their optional implementations can be combined with part or all of the steps in other embodiments, or combined with the optional implementations of other embodiments.

[0186] FIG. 3B is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 3BB, the present disclosure involves a communication method (terminal side), which includes:

[0187] Step S3201: transmitting the first information.

[0188] The optional implementation of step S3201 can refer to the optional implementation of step S2101 in FIG.2, the optional implementation of step S3101 in FIG.3A, and other associated parts in the embodiments related to FIG.2 and FIG.3A, which will not be repeated here.

[0189] Step S3202: obtaining the second information.

[0190] The optional implementation of step S3202 can refer to step S2102 in FIG.2, the optional implementation of step S3102 in FIG.3A, and other associated parts in the embodiments related to FIG.2 and FIG.3A, which will not be repeated here.

[0191] In some embodiments, the first information is used to indicate the first structures and the first functions and / or the first characteristics, the first functions are artificial intelligence (AI) functions supported by the terminal, the first characteristics are AI characteristics supported by the terminal, and the first structures are AI model structures supported by the terminal.

[0192] The second information includes model parameters of at least one AI model, and is further used to indicate AI functions and / or AI characteristics corresponding to each model parameter and AI model structures.

[0193] The number of the first functions and / or the first characteristics and the number of the first structures are both greater than or equal to one, and the AI functions and / or the AI characteristics corresponding to each model parameter and the AI model structures are AI functions and / or AI characteristics supported by the terminal and AI model structures.

[0194] In some embodiments, each first function and / or first characteristic is associated with one or more first structures, and each first structure is associated with one or more first functions and / or first characteristics.

[0195] The first information is further used to indicate an association relationship between each first function and / or first characteristic and each first structure.

[0196] In some embodiments, each first structure has a unique structure identifier, each first function has a unique function identifier, and each first characteristic has a unique characteristic identifier.

[0197] In some embodiments, the first information includes the structure identifier of each first structure, and the function identifier of each first function and / or the characteristic identifier of each first characteristic.

[0198] In some embodiments, each first structure is associated with one first function and / or first characteristic, and the second information includes a structure identifier corresponding to each model parameter.

[0199] The method includes:

[0200] For any one model parameter, the AI model structure corresponding to the model parameter is determined according to the structure identifier corresponding to the model parameter, and the AI function and / or AI characteristic corresponding to the model parameter are determined according to the function identifier and / or characteristic identifier corresponding to the model parameter.

[0201] For any one model parameter, the AI model structure corresponding to the model parameter is determined according to the structure identifier corresponding to the model parameter, and the AI function and / or AI characteristic corresponding to the model parameter are determined according to the function identifier and / or characteristic identifier corresponding to the model parameter.

[0202] In some embodiments, the second information includes the function identifier and / or characteristic identifier and the structure identifier corresponding to each model parameter.

[0203] The method includes:

[0204] For any one model parameter, the AI model structure corresponding to the model parameter is determined according to the structure identifier corresponding to the model parameter.

[0205] For any one model parameter, the AI model structure corresponding to the model parameter is determined according to the structure identifier corresponding to the model parameter, and the AI function and / or AI characteristic corresponding to the model parameter are determined according to the function identifier and / or characteristic identifier corresponding to the model parameter.

[0206] FIG. 4 is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 4, the embodiment of the present disclosure relates to a communication method (network device side), and the above method includes:

[0207] In step S4101, first information is acquired.

[0208] The optional implementation of step S4101 can refer to the optional implementation of step S2101 in FIG. 2 and other associated parts in the embodiments involved in FIG. 2, which will not be described here.

[0209] In some embodiments, the network device receives the first information sent by the terminal, but is not limited thereto, and can also receive the first information sent by other subjects.

[0210] In some embodiments, the network device acquires the first information specified by a protocol.

[0211] In some embodiments, the network device acquires the first information from the upper layer(s).

[0212] In some embodiments, the network device processes to obtain the first information.

[0213] In some embodiments, step S4101 is omitted, and the network device autonomously implements the function indicated by the first information, or the above function is default or default.

[0214] In step S4102, second information is sent.

[0215] The optional implementation of step S4102 can refer to the optional implementation of step S2102 in FIG. 2 and other associated parts in the embodiments related by FIG. 2, which will not be repeated here.

[0216] In some embodiments, the first information is used to indicate the first structures and the first functions and / or the first characteristics, the first functions are artificial intelligence (AI) functions supported by the terminal, the first characteristics are AI characteristics supported by the terminal, and the first structures are AI model structures supported by the terminal.

[0217] The second information includes model parameters of at least one AI model, and the second information is further used to indicate AI functions and / or AI characteristics corresponding to each model parameter and AI model structures.

[0218] The number of the first functions and / or the first characteristics and the number of the first structures are both greater than or equal to one, and the AI functions and / or the AI characteristics corresponding to each model parameter and the AI model structures are AI functions and / or AI characteristics supported by the terminal and AI model structures.

[0219] In some embodiments, each first function and / or first characteristic is associated with one or more first structures, and each first structure is associated with one or more first functions and / or first characteristics.

[0220] The first information is further used to indicate an association relationship between each first function and / or first characteristic and each first structure.

[0221] In some embodiments, each first structure has a unique structure identifier, each first function has a unique function identifier, and each first characteristic has a unique characteristic identifier.

[0222] In some embodiments, the first information includes a structure identifier of each first structure, a function identifier of each first function, and / or a characteristic identifier of each first characteristic.

[0223] In some embodiments, each first structure is associated with one first function and / or first characteristic, and the second information includes a structure identifier corresponding to each model parameter.

[0224] In some embodiments, the second information includes a function identifier and / or characteristic identifier and structure identifier corresponding to each model parameter.

[0225] FIG. 5 is an interaction schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 5, the embodiment of the present disclosure relates to a communication method, and the above method includes:

[0226] In step S5101, the terminal sends first information to the network device.

[0227] The optional implementation of step S5101 can refer to the optional implementation of step S2101 in FIG. 2, step S3101 in FIG. 3A, step S3201 in FIG. 3B, step S4101 in FIG. 4, and other associated parts in the embodiments related to FIG. 2, FIG. 3A, FIG. 3B, and FIG. 4, which are not described here again.

[0228] In step S5102, the network device sends the second information to the terminal.

[0229] The optional implementation of step S5102 can refer to the optional implementation of step S2102 in FIG. 2, step S3102 in FIG. 3A, step S3202 in FIG. 3B, step S4102 in FIG. 4, and other associated parts in the embodiments related to FIG. 2, FIG. 3A, FIG. 3B, and FIG. 4, which are not described here again.

[0230] In some embodiments, the above method can include the method described in the embodiments related to the network device side, the terminal side, etc., which are not described here again.

[0231] FIG. 6A is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 6, the embodiment of the present disclosure relates to a communication method, and the above method includes:

[0232] In step S6101, the terminal reports the AI model structure and AI functionality / AI feature supported by the terminal side.

[0233] In some optional implementations, the AI model structure is not bound to the AI functionality / AI feature.

[0234] Optionally, the terminal independently reports the AI model structure and AI functionality / AI feature supported by the terminal side.

[0235] Optionally, each model structure has a corresponding identifier, and different model structures have different identifiers.

[0236] Optionally, the identifier corresponding to each model structure is irrelevant to the AI functionality / AI feature.

[0237] In some optional implementations, the AI model structure is bound to the AI functionality / AI feature.

[0238] Optionally, when the terminal reports the supported model structure, it needs to report the corresponding AI functionality / AI feature.

[0239] Optionally, each model structure corresponding to each AI functionality / AI feature has a unique identification. That is, the corresponding identification can be different when two model structures that are actually the same are mapped to different AI functionality / AI features.

[0240] Optionally, the model parameters on the network side correspond one-to-one with the above-mentioned identification.

[0241] Optionally, when the network side sends the model parameters to the terminal, it only needs to indicate the model structure identification corresponding to the model parameters.

[0242] In some optional implementations, the AI model structure is bound to the AI functionality / AI feature.

[0243] Optionally, when the terminal reports the supported model structure, it needs to report the corresponding AI functionality / AI feature.

[0244] Optionally, the model structure is only identified within an AI functionality / AI feature.

[0245] Optionally, the model parameters on the network side correspond to an AI functionality / AI feature and a model structure identification within the AI functionality / AI feature.

[0246] Optionally, when the network side sends the corresponding model parameters, it needs to indicate the AI functionality / AI feature corresponding to the model parameters and the model structure under the AI functionality / AI feature.

[0247] Based on some of the above embodiments, in an example, for the mapping relationship between the AI model structure supported by the terminal and the structure identification and the function and characteristic identification of the AI functionality / AI feature, it can be as shown in FIG. 6B. Referring to FIG. 6B, the terminal can support three AI functionality / AI features with function and characteristic identifications of 1, 2, and 3, respectively. Each AI functionality / AI feature corresponds to three AI model structures, and the structure identifications of the AI model structures corresponding to different AI functionality / AI features are all different. That is, the model structure supported by the terminal includes nine AI model structures with structure identifications of 1 to 9.

[0248] At this time, when the network side sends the model parameters to the terminal, it only needs to indicate the structure identifier corresponding to the model parameters.

[0249] Based on the above other embodiments, in an instance, the mapping relationship between the structure identifier of the AI model structure supported by the terminal and the function and characteristic identifier of the AI functionality / AI feature can be as shown in FIG. 6C. Referring to FIG. 6C, the terminal can support three AI functionality / AI features with function and characteristic identifiers 1, 2 and 3 respectively. For each AI functionality / AI feature, it corresponds to three AI functions or AI features, and the structure identifiers of the respective AI model structures corresponding to the same AI functionality / AI feature are all different. The structure identifiers of the respective AI model structures corresponding to different AI functionality / AI features can be the same or different. That is, the model structures supported by the terminal include three model structures corresponding to AI functionality / AI feature #1 (i.e. AI functionality / AI feature with function identifier or characteristic identifier 1) and structure identifier 1-3, two model structures corresponding to AI functionality / AI feature #2 and structure identifier 1-2, and four model structures corresponding to AI functionality / AI feature #3 and structure identifier 1-4. Among them, different AI functionality / AI features can correspond to the same model structure. For example, the model structure corresponding to AI model structure #1 corresponding to AI functionality / AI feature #1 can be the same as the model structure corresponding to AI model structure #1 corresponding to AI functionality / AI feature #2.

[0250] At this time, when the network side sends the model parameters to the terminal, it only needs to indicate the structure identifier corresponding to the model parameters.

[0251] In the embodiments of the present disclosure, part or all of the steps, optional implementation manners thereof, can be combined with part or all of the steps in other embodiments, or can be combined with optional implementation manners in other embodiments.

[0252] The embodiments of the present disclosure further provide a device for implementing any of the above methods, for example, a device comprising units or modules for implementing the steps performed by the terminal in any of the above methods. For another example, another device is provided, comprising units or modules for implementing the steps performed by the network device (such as an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0253] It should be understood that the division of each unit or module in the above device is only a logical function division, and all or part of the units or modules can be integrated into one physical entity or physically separated in actual implementation. In addition, the units or modules in the device can be implemented in the form of processor invoking software: for example, the device comprises a processor connected with a memory, the memory stores instructions, and the processor invokes the instructions stored in the memory to implement any of the above methods or to implement the functions of each unit or module of the device, wherein the processor is a general processor such as a central processing unit (CPU) or a microprocessor, and the memory is a memory in the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuit, and the functions of part or all of the units or modules can be implemented by designing the hardware circuit, and the hardware circuit can be understood as one or more processors; for example, in one implementation, the hardware circuit is an application-specific integrated circuit (ASIC), and the functions of part or all of the units or modules are implemented by designing the logical relationship of elements in the circuit; for another example, in another implementation, the hardware circuit is a programmable logic device (PLD), and taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by a configuration file, so as to implement the functions of part or all of the units or modules. All units or modules of the above device can be implemented in the form of processor invoking 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 invoking software, and the remaining part is implemented in the form of hardware circuit.

[0254] 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.

[0255] FIG. 7A is a structural schematic diagram of a terminal according to an embodiment of the present disclosure. As shown in FIG. 7A, the terminal 7100 can include at least one of a transceiver module 7101, a processing module 7102, and the like. Optionally, the transceiver module 7101 is configured to perform at least one of the communication steps such as sending and / or receiving performed by the terminal in any of the above methods, and details are not described herein again. Optionally, the processing module 7102 is configured to perform at least one of the other steps performed by the terminal in any of the above methods, and details are not described herein again.

[0256] In some embodiments, the transceiver module 7101 is configured to send first information, the first information being used to indicate a first structure and a first function and / or a first characteristic, the first function being an artificial intelligence (AI) function supported by the terminal, the first characteristic being an AI characteristic supported by the terminal, and the first structure being an AI model structure supported by the terminal.

[0257] The transceiving module 7101 is further configured to receive second information, the second information including model parameters of the at least one AI model, and the second information further being used to indicate AI functions and / or AI features corresponding to each model parameter and AI model structures;

[0258] wherein the number of the first functions, the first features, and the first structures is greater than or equal to one, and the AI functions and / or the AI features corresponding to each model parameter and the AI model structures are AI functions and / or AI features and AI model structures supported by the terminal.

[0259] In some embodiments, each first function and / or first feature is associated with one or more first structures, and each first structure is associated with one or more first functions and / or first features.

[0260] The first information is further used to indicate an association relationship between each first function and / or first feature and each first structure.

[0261] In some embodiments, each first structure has a unique structure identifier, each first function has a unique function identifier, and each first feature has a unique feature identifier.

[0262] In some embodiments, the first information includes the structure identifier of each first structure, and the function identifier of each first function and / or the feature identifier of each first feature.

[0263] In some embodiments, each first structure is associated with one first function and / or first feature, and the second information includes a structure identifier corresponding to each model parameter.

[0264] The processing module 7102 is configured to:

[0265] For any one model parameter, determine the AI model structure corresponding to the model parameter and the function identifier and / or feature identifier corresponding to the model parameter according to the structure identifier corresponding to the model parameter.

[0266] Determine the AI function and / or AI feature corresponding to the model parameter according to the function identifier and / or feature identifier corresponding to the model parameter.

[0267] In some embodiments, the second information includes the function identifier and / or feature identifier and the structure identifier corresponding to each model parameter.

[0268] The processing module 7102 is configured to:

[0269] For any one model parameter, determine the AI model structure corresponding to the model parameter according to the structure identifier corresponding to the model parameter.

[0270] The AI function and / or the AI feature corresponding to each model parameter are determined according to the function identifier and / or the feature identifier corresponding to the model parameter.

[0271] FIG. 7B is a structural schematic diagram of a network device according to an embodiment of the present disclosure. As shown in FIG. 7B, the network device 7200 can include at least one of a transceiver module 7201, a processing module 7202, and the like. Optionally, the transceiver module 7201 is configured to perform at least one of the communication steps such as receiving and / or sending performed by the network device in any of the above methods, details of which are not repeated here. Optionally, the processing module 7202 is configured to perform at least one of the other steps performed by the network device in any of the above methods, details of which are not repeated here.

[0272] In some embodiments, the transceiver module 7201 is configured to receive first information, the first information being used to indicate a first structure and a first function and / or a first feature, the first function being an artificial intelligence (AI) function supported by a terminal, the first feature being an AI feature supported by the terminal, and the first structure being an AI model structure supported by the terminal.

[0273] The transceiver module 7201 is further configured to send second information, the second information including model parameters of at least one AI model, and the second information being used to indicate an AI function and / or an AI feature corresponding to each model parameter and an AI model structure.

[0274] The number of the first functions and / or the first features and the number of the first structures are both greater than or equal to one, and the AI function and / or the AI feature corresponding to each model parameter and the AI model structure are all AI functions and / or AI features and AI model structures supported by the terminal.

[0275] In some embodiments, each first function and / or first feature is associated with one or more first structures, and each first structure is associated with one or more first functions and / or first features.

[0276] The first information is further used to indicate an association relationship between each first function and / or first feature and each first structure.

[0277] In some embodiments, each first structure has a unique structure identifier, each first function has a unique function identifier, and each first feature has a unique feature identifier.

[0278] In some embodiments, the first information includes a structure identifier of each first structure, a function identifier of each first function, and / or a feature identifier of each first feature.

[0279] In some embodiments, each first structure is associated with one first function and / or first feature, and the second information includes a structure identifier corresponding to each model parameter.

[0280] In some embodiments, the second information includes a function identifier and / or a characteristic identifier and a structure identifier corresponding to each model parameter.

[0281] 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. Optionally, the processing module can be mutually replaced with the processor.

[0282] FIG. 8A is a structural schematic diagram of a communication device 8100 according to the embodiments of the present disclosure. The communication device 8100 can be a network device (such as an access network device, a core network device, etc.), a terminal (such as a user equipment, etc.), a chip, a chip system, or a processor supporting the network device to implement any of the above methods, or a chip, a chip system, or a processor supporting the terminal to implement any of the above methods. The communication device 8100 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.

[0283] As shown in FIG. 8A, the communication device 8100 includes one or more processors 8101. The processor 8101 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. Optionally, the communication device 8100 is configured to perform any of the above methods. Optionally, the one or more processors 8101 are configured to invoke instructions to cause the communication device 8100 to perform any of the above methods.

[0284] In some embodiments, the communication device 8100 further includes one or more transceivers 8102. When the communication device 8100 includes the one or more transceivers 8102, the transceiver 8102 performs at least one of the communication steps such as transmitting and / or receiving in the above methods, and the processor 8101 performs at least one of the other steps. In an optional embodiment, 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, interface circuit, interface, 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.

[0285] In some embodiments, the communication device 8100 further includes one or more memories 8103 for storing data. Alternatively, all or part of the memories 8103 can be external to the communication device 8100. In optional embodiments, the communication device 8100 can include one or more interface circuits 8104. Optionally, the interface circuit 8104 is connected to the memory 8103, and the interface circuit 8104 can be used to receive data from the memory 8103 or other devices, and can be used to send data to the memory 8103 or other devices. For example, the interface circuit 8104 can read data stored in the memory 8103 and send the data to the processor 8101.

[0286] The communication device 8100 described in the above embodiments can be a network device or a terminal, but the scope of the communication device 8100 described in the present disclosure is not limited thereto, and the structure of the communication device 8100 can not be limited by Figure 8A. 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 include a storage component 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, etc.; (6) other devices, etc.

[0287] Figure 8B is a structural schematic diagram of a chip 8200 according to an embodiment of the present disclosure. For the case where the communication device 8100 is a chip or a chip system, the structural schematic diagram of the chip 8200 shown in Figure 8B can be referred to, but is not limited thereto.

[0288] The chip 8200 includes one or more processors 8201. The chip 8200 is configured to execute any of the above methods.

[0289] In some embodiments, the chip 8200 further includes one or more interface circuits 8202. Optionally, the terms interface circuit, interface, transceiver pin, etc. can be replaced by each other. In some embodiments, the chip 8200 further includes one or more memories 8203 for storing data. Optionally, all or part of the memories 8203 can be external to the chip 8200. Optionally, the interface circuit 8202 is connected to the memory 8203, and the interface circuit 8202 can be used to receive data from the memory 8203 or other devices, and the interface circuit 8202 can be used to send data to the memory 8203 or other devices. For example, the interface circuit 8202 can read data stored in the memory 8203 and send the data to the processor 8201.

[0290] In some embodiments, the interface circuit 8202 performs at least one of the communication steps such as transmitting and / or receiving in the above-described methods. The interface circuit 8202 performing the communication steps such as transmitting and / or receiving in the above-described methods refers to, for example, the interface circuit 8202 performing data interaction between the processor 8201, the chip 8200, the memory 8203, or a transceiver device. In some embodiments, the processor 8201 performs at least one of the other steps.

[0291] The modules and / or devices described in each of the embodiments of the virtual device, the physical device, the chip, etc. can be combined or separated according to actual conditions. Optionally, part or all of the steps can also be performed by a plurality of modules and / or devices in cooperation, which is not limited here.

[0292] The disclosure further proposes a storage medium having instructions stored thereon, which, when executed on the communication device 8100, causes the communication device 8100 to perform any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited to this, and it can also be a storage medium readable by other devices. Optionally, the storage medium can be a non-transitory storage medium, but is not limited to this, and it can also be a transitory storage medium.

[0293] The disclosure further proposes a program product which, when executed by the communication device 8100, causes the communication device 8100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0294] The disclosure further proposes a computer program which, when executed on a computer, causes the computer to perform any of the above methods.

Claims

1. A communication method, characterized in that, The method, executed by a terminal, includes: Send first information, the first information being used to indicate a first structure and a first function and / or a first characteristic, the first function being an artificial intelligence (AI) function supported by the terminal, the first characteristic being an AI characteristic supported by the terminal, and the first structure being an AI model structure supported by the terminal; Receive second information, the second information including model parameters of at least one AI model, the second information is also used to indicate the AI ​​function and / or AI characteristics and AI model structure corresponding to each model parameter; Wherein, the number of the first function, the number of the first feature, and the number of the first structure are all greater than or equal to one, and the AI ​​function and / or AI feature and AI model structure corresponding to each model parameter are all AI functions and / or AI features and AI model structures supported by the terminal.

2. The method according to claim 1, characterized in that, Each of the first functions and / or the first features is associated with one or more of the first structures, and each of the first structures is associated with one or more of the first functions and / or the first features; The first information is also used to indicate the association between each of the first functions and / or the first features and each of the first structures.

3. The method according to claim 1 or 2, characterized in that, Each of the first structures has a unique structure identifier, each of the first functions has a unique function identifier, and each of the first characteristics has a unique characteristic identifier.

4. The method according to claim 3, characterized in that, The first information includes a structural identifier for each of the first structures, a functional identifier for each of the first functions, and / or a characteristic identifier for each of the first features.

5. The method according to claim 3 or 4, characterized in that, Each of the first structures is associated with a first function and / or a first characteristic; the second information includes the structure identifier corresponding to each of the model parameters; The method includes: For any one of the model parameters, the AI ​​model structure corresponding to the model parameter and the function identifier and / or feature identifier corresponding to the model parameter are determined according to the structure identifier corresponding to the model parameter; Based on the function identifier and / or characteristic identifier corresponding to the model parameters, determine the AI ​​function and / or AI characteristic corresponding to the model parameters.

6. The method according to claim 3 or 4, characterized in that, The second information includes the functional identifier and / or characteristic identifier and structural identifier corresponding to each of the model parameters; The method includes: For any given model parameter, the AI ​​corresponding to that model parameter is determined based on the structure identifier corresponding to that model parameter. Model structure; Based on the function identifier and / or characteristic identifier corresponding to the model parameters, determine the AI ​​function and / or AI characteristic corresponding to the model parameters.

7. A communication method, characterized in that, Performed by a network device, the method includes: Receive first information, the first information being used to indicate a first structure and a first function and / or a first characteristic, the first function being an artificial intelligence (AI) function supported by the terminal, the first characteristic being an AI characteristic supported by the terminal, and the first structure being an AI model structure supported by the terminal. Send a second message, the second message including model parameters of at least one AI model, the second message also being used to indicate the AI ​​function and / or AI characteristics and AI model structure corresponding to each of the model parameters; Wherein, the number of the first function, the number of the first feature, and the number of the first structure are all greater than or equal to one, and the AI ​​function and / or AI feature and AI model structure corresponding to each model parameter are all AI functions and / or AI features and AI model structures supported by the terminal.

8. The method according to claim 7, characterized in that, Each of the first functions and / or the first features is associated with one or more of the first structures, and each of the first structures is associated with one or more of the first functions and / or the first features; The first information is also used to indicate the association between each of the first functions and / or the first features and each of the first structures.

9. The method according to claim 7 or 8, characterized in that, Each of the first structures has a unique structure identifier, each of the first functions has a unique function identifier, and each of the first characteristics has a unique characteristic identifier.

10. The method according to claim 9, characterized in that, The first information includes a structural identifier for each of the first structures, a functional identifier for each of the first functions, and / or a characteristic identifier for each of the first features.

11. The method according to claim 9 or 10, characterized in that, Each of the first structures is associated with a first function and / or a first characteristic; the second information includes the structure identifier corresponding to each of the model parameters.

12. The method according to claim 9 or 10, characterized in that, The second information includes the functional identifier and / or characteristic identifier and structural identifier corresponding to each of the model parameters.

13. A communication device, characterized in that, include: The transceiver module is configured to send first information, the first information being used to indicate a first structure and a first function and / or a first characteristic, the first function being an artificial intelligence (AI) function supported by the terminal, the first characteristic being an AI characteristic supported by the terminal, and the first structure being an AI model structure supported by the terminal. The transceiver module is further configured to receive second information, the second information including model parameters of at least one AI model, and the second information is also used to indicate the AI ​​function and / or AI characteristics and AI model structure corresponding to each model parameter; Wherein, the number of the first function, the number of the first feature, and the number of the first structure are all greater than or equal to one, and the AI ​​function and / or AI feature and AI model structure corresponding to each model parameter are all AI functions and / or AI features and AI model structures supported by the terminal.

14. A communication device, characterized in that, include: The transceiver module is configured to receive first information, the first information being used to indicate a first structure and a first function and / or a first characteristic, the first function being an artificial intelligence (AI) function supported by the terminal, the first characteristic being an AI characteristic supported by the terminal, and the first structure being an AI model structure supported by the terminal. The transceiver module is further configured to send second information, the second information including model parameters of at least one AI model, and the second information is also used to indicate the AI ​​function and / or AI characteristics and AI model structure corresponding to each model parameter; Wherein, the number of the first function, the number of the first feature, and the number of the first structure are all greater than or equal to one, and the AI ​​function and / or AI feature and AI model structure corresponding to each model parameter are all AI functions and / or AI features and AI model structures supported by the terminal.

15. A communication device, characterized in that, include: One or more processors; The communication device is used to perform the communication method according to any one of claims 1-6 or any one of claims 7-12.

16. A communication system, characterized in that, The device includes a network device and a terminal, the terminal being configured to implement the communication method of any one of claims 1-6, and the network device being configured to implement the communication method of any one of claims 7-12.

17. 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 claimed in any one of claims 1-6 or any one of claims 7-12.

18. A computer program product comprising a computer program and / or instructions, characterized in that, When the computer program and / or the instructions are executed by the communication device, they implement the communication method as described in any one of claims 1-6 or any one of claims 7-12.

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