Communication method, terminal, network device, system and storage medium

Abstract

The present disclosure relates to a communication method, a terminal, a network device, a system and a storage medium. The method comprises: sending first information to a network device, wherein the first information is used for indicating an AI function supported by a terminal, the AI function is associated with the value of a parameter in a first parameter set, the first parameter set at least comprises one or more configuration parameters, and value ranges of at least one configuration parameter in the first parameter set that correspond to different AI functions partially overlap with each other. Therefore, a mapping relationship between AI functions and parameter set values is configured, and corresponding AI functions are determined by means of configuring a parameter set having different values, thereby realizing life cycle management of the AI functions on the basis of the parameter set.

Description

Communication method, terminal, network device, system and storage medium Technical Field

[0001] The present disclosure relates to the field of communication technologies, and in particular to a communication method, terminal, network device, system, and storage medium. Background Art

[0002] Artificial intelligence technology has made continuous breakthroughs in many fields, and AI (Artificial Intelligence) technology is also accelerating its cross-penetration into other disciplines. Its development integrates knowledge from different disciplines and also provides new directions and methods for the development of different disciplines.

[0003] Among the related technologies, a research project on the application of artificial intelligence technology in wireless air interface communications has been established. The project aims to study how to introduce AI technology in wireless air interface communications, and at the same time explore how AI technology can assist and improve wireless air interface transmission technology.

[0004] Summary of the Invention

[0005] In order to overcome the technical problem of unclear lifecycle management information of AI functions in related technologies, the present disclosure provides a communication method, terminal, network device, system and storage medium.

[0006] The embodiments of the present disclosure provide a communication method, a terminal, a network device, a system, and a storage medium.

[0007] According to a first aspect of an embodiment of the present disclosure, a communication method is proposed, which is executed by a terminal. The method includes:

[0008] Send first information to the network device, where the first information is used to indicate an AI function supported by the terminal, where the AI ​​function is associated with a parameter value in a first parameter set, where the first parameter set includes at least one or more configuration parameters, and where the value range of at least one configuration parameter in the first parameter set corresponding to different AI functions partially overlaps.

[0009] According to a second aspect of an embodiment of the present disclosure, a communication method is provided, which is performed by a network device. The method includes:

[0010] Receive first information sent by a terminal, where the first information is used to indicate an AI function supported by the terminal, where the AI ​​function is associated with a parameter value in a first parameter set, where the first parameter set includes at least one or more configuration parameters, and where a value range of at least one configuration parameter in the first parameter set corresponding to different AI functions partially overlaps.

[0011] According to a third aspect of an embodiment of the present disclosure, a terminal is provided, including:

[0012] The transceiver module is configured to send first information to the network device, where the first information is used to indicate an AI function supported by the terminal, the AI ​​function is associated with a parameter value in a first parameter set, the first parameter set includes at least one or more configuration parameters, and different AI functions correspond to at least one configuration parameter in the first parameter set. The value range of the parameter partially overlaps.

[0013] According to a fourth aspect of an embodiment of the present disclosure, a network device is provided, including:

[0014] The transceiver module is configured to receive first information sent by a terminal, where the first information is used to indicate an AI function supported by the terminal, the AI ​​function is associated with a parameter value in a first parameter set, the first parameter set includes at least one or more configuration parameters, and the value range of at least one configuration parameter in the first parameter set corresponding to different AI functions partially overlaps.

[0015] According to a fifth aspect of an embodiment of the present disclosure, a terminal is provided, including:

[0016] one or more processors;

[0017] A memory coupled to the one or more processors, the memory comprising executable instructions, which, when executed by the one or more processors, causes the terminal to execute the communication method described in any one of the first aspects of the present disclosure.

[0018] According to a sixth aspect of an embodiment of the present disclosure, a network device is provided, including:

[0019] one or more processors;

[0020] A memory coupled to the one or more processors, the memory comprising executable instructions, which, when executed by the one or more processors, causes the first device to execute any one of the communication methods described in the second aspect of the present disclosure.

[0021] According to the seventh aspect of an embodiment of the present disclosure, a communication system is proposed, comprising a terminal and a network device, wherein the terminal is configured to implement the communication method described in any one of the first aspects of the present disclosure, and the network device is configured to implement the communication method described in any one of the second aspects of the present disclosure.

[0022] According to an eighth aspect of an embodiment of the present disclosure, a storage medium is proposed, which stores instructions, and is characterized in that when the instructions are executed on a communication device, the communication device executes a communication method as described in any one of the first aspect of the present disclosure or the second aspect of the present disclosure.

[0023] Through the above method, first information is sent to the network device. The first information is used to indicate the AI ​​functions supported by the terminal. The AI ​​functions are associated with parameter values ​​in a first parameter set. The first parameter set includes at least one or more configuration parameters. The value ranges of at least one configuration parameter in the first parameter set corresponding to different AI functions partially overlap. This configures a mapping relationship between the AI ​​functions and the parameter set values. By configuring parameter sets with different values, the corresponding AI functions are determined, thereby implementing parameter set-based lifecycle management of the AI ​​functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following drawings required for describing the embodiments are introduced. The following drawings are merely some embodiments of the present disclosure and do not impose specific limitations on the protection scope of the present disclosure.

[0025] FIG1a is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0026] FIG1 b is a schematic diagram illustrating an AI-functionality configuration method according to an embodiment of the present disclosure.

[0027] FIG1c is a schematic diagram illustrating an AI-functionality configuration method according to an embodiment of the present disclosure.

[0028] FIG2 is an interactive schematic diagram illustrating a communication method according to an embodiment of the present disclosure.

[0029] FIG3 is a flow chart of a communication method according to an embodiment of the present disclosure.

[0030] FIG4 is a flow chart showing a communication method according to an embodiment of the present disclosure.

[0031] FIG5 is a flowchart showing a communication method according to an embodiment of the present disclosure.

[0032] FIG6 is a schematic structural diagram of a terminal 6100 proposed in an embodiment of the present disclosure.

[0033] FIG7 is a schematic structural diagram of a network device 7100 proposed in an embodiment of the present disclosure.

[0034] FIG8 is a schematic structural diagram of a communication device 8100 proposed in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0035] The embodiments of the present disclosure provide a communication method, a terminal, a network device, a system, and a storage medium.

[0036] In a first aspect, an embodiment of the present disclosure provides a communication method, which is executed by a terminal. The method includes:

[0037] Send first information to the network device, where the first information is used to indicate an AI function supported by the terminal, where the AI ​​function is associated with a parameter value in a first parameter set, where the first parameter set includes at least one or more configuration parameters, and where the value range of at least one configuration parameter in the first parameter set corresponding to different AI functions partially overlaps.

[0038] Through the above method, the mapping relationship between AI functions and parameter sets is clarified. By configuring the mapping relationship between parameter set values ​​and AI functions, the lifecycle of AI functions can be managed according to the parameter sets, avoiding the problem of unclear relationship between configuration parameters and AI functions.

[0039] In combination with some embodiments of the first aspect, in some embodiments, the AI ​​function is associated with an AI feature, and the AI ​​feature includes one or more AI functions.

[0040] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0041] receiving second information sent by the network device, where the second information includes a first configuration parameter, where the first configuration parameter indicates a configuration parameter and a value range of the configuration parameter in the first parameter set;

[0042] Determining a lifecycle management action for the AI ​​function based on the first configuration parameter;

[0043] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0044] receiving third information sent by the network device;

[0045] A first AI function matching the current configuration parameters is activated according to the third information.

[0046] In conjunction with some embodiments of the first aspect, in some embodiments, determining the lifecycle management action of the AI ​​function based on the first configuration parameter includes:

[0047] Obtaining a mapping relationship between the AI ​​function and the first parameter set;

[0048] Determining a second AI function corresponding to the first configuration parameter from the mapping relationship;

[0049] determining that the first AI function is the same as the second AI function, and running the first AI function of the terminal;

[0050] Determining that the first AI function is different from the second AI function, and disabling the first AI function of the terminal.

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

[0052] determining that the first AI function is different from the second AI function and that activation signaling of the second AI function has not been received, and processing the first configuration parameter through a non-AI processing flow;

[0053] Determining that the first AI function is different from the second AI function and receiving the activation signaling of the second AI function, deactivating the first AI function, and activating the second AI function of the terminal.

[0054] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0055] Determine that the second AI function is activated, and send fourth information to the network device, where the fourth information is used to instruct the network device to activate the second AI function of the network device according to the fourth information.

[0056] In conjunction with some embodiments of the first aspect, in some embodiments, the second AI function includes multiple AI functions, and determining that the first AI function is the same as the second AI function and running the first AI function of the terminal includes:

[0057] Determining that the first AI function is any one of the multiple AI functions;

[0058] Running the first AI function of the terminal.

[0059] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0060] Determining that no AI function matching the first configuration parameter exists in the mapping relationship;

[0061] The first configuration parameter is processed through a non-AI processing flow.

[0062] In conjunction with some embodiments of the first aspect, in some embodiments, obtaining a mapping relationship between the AI ​​function and the first parameter set includes:

[0063] Get the configuration protocol;

[0064] The mapping relationship is determined according to the configuration protocol.

[0065] In the above embodiment, first information is sent to a network device. The first information indicates AI functions supported by the terminal. A mapping relationship exists between the AI ​​functions and parameter values ​​in a first parameter set. The first parameter set includes at least one or more configuration parameters. The value ranges of at least one configuration parameter in the first parameter set corresponding to different AI functions in the AI ​​feature partially overlap. Thus, a mapping relationship between the AI ​​functions and the parameter set values ​​is configured. By configuring parameter sets with different values, the corresponding AI functions are determined, thereby implementing parameter set-based lifecycle management of the AI ​​functions.

[0066] In a second aspect, an embodiment of the present disclosure provides a communication method, which is performed by a network device. The method includes:

[0067] Receive first information sent by a terminal, where the first information is used to indicate an AI function supported by the terminal, where the AI ​​function is associated with a parameter value in a first parameter set, where the first parameter set includes at least one or more configuration parameters, and where a value range of at least one configuration parameter in the first parameter set corresponding to different AI functions partially overlaps.

[0068] In combination with some embodiments of the second aspect, in some embodiments, the AI ​​function is associated with an AI feature, and the AI ​​feature includes one or more AI functions.

[0069] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0070] generating second information according to the AI ​​function, where the second information includes a first configuration parameter, the first configuration parameter being used to indicate a configuration parameter and a value range of the configuration parameter in the first parameter set, and the first configuration parameter being further used to instruct the terminal to determine a lifecycle management action for the AI ​​function according to the first configuration parameter;

[0071] Send the second information to the terminal.

[0072] In conjunction with some embodiments of the second aspect, in some embodiments, generating the second information according to the AI ​​function includes:

[0073] Obtaining a mapping relationship between the AI ​​function and the first parameter set;

[0074] Determining the first configuration parameter according to the mapping relationship;

[0075] The second information is generated according to the first configuration parameter and sent to the terminal.

[0076] In conjunction with some embodiments of the second aspect, in some embodiments, obtaining a mapping relationship between the AI ​​function and the first parameter set includes:

[0077] Get the configuration protocol;

[0078] The mapping relationship is determined according to the configuration protocol.

[0079] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0080] Sending third information to the terminal, where the third information is used to instruct the terminal to activate a first AI function that matches the current configuration parameters according to the third information.

[0081] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0082] An activation signaling is sent to the terminal, where the activation signaling is used to instruct the terminal to activate a second AI function, where the second AI function corresponds to the first configuration parameter.

[0083] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0084] receiving fourth information sent by the terminal;

[0085] Determine, according to the fourth information, that the second AI function of the terminal is activated, and activate the second AI function of the network device.

[0086] In the above embodiment, a terminal receives first information sent by the terminal, the first information being used to indicate an AI function supported by the terminal. The AI ​​function is associated with a parameter value in a first parameter set, which includes at least one or more configuration parameters. The value ranges of at least one configuration parameter in the first parameter set corresponding to different AI functions partially overlap. Thus, in the network device, the mapping relationship between the values ​​of the configuration parameter set and the AI ​​function can be configured to correspond to different AI functions based on different configuration parameter values. This clarifies the relationship between the configuration parameters and the AI ​​function, and avoids the problem of disrupted AI function lifecycle management caused by ambiguous parameter configuration.

[0087] In a third aspect, an embodiment of the present disclosure provides a terminal, including:

[0088] The transceiver module is configured to send first information to the network device, where the first information is used to indicate an AI function supported by the terminal, the AI ​​function is associated with a parameter value in a first parameter set, the first parameter set includes at least one or more configuration parameters, and different AI functions correspond to at least one configuration parameter in the first parameter set. The value range of the parameter partially overlaps.

[0089] In a fourth aspect, an embodiment of the present disclosure provides a network device, including:

[0090] The transceiver module is configured to receive first information sent by a terminal, where the first information is used to indicate an AI function supported by the terminal, the AI ​​function is associated with a parameter value in a first parameter set, the first parameter set includes at least one or more configuration parameters, and the value range of at least one configuration parameter in the first parameter set corresponding to different AI functions partially overlaps.

[0091] In a fifth aspect, an embodiment of the present disclosure provides a terminal, including:

[0092] one or more processors;

[0093] A memory coupled to the one or more processors, the memory comprising executable instructions, which, when executed by the one or more processors, causes the terminal to execute the communication method described in any one of the first aspects of the present disclosure.

[0094] In a sixth aspect, an embodiment of the present disclosure provides a network device, including:

[0095] one or more processors;

[0096] A memory coupled to the one or more processors, the memory comprising executable instructions, which, when executed by the one or more processors, causes the first device to execute any one of the communication methods described in the second aspect of the present disclosure.

[0097] In the seventh aspect, an embodiment of the present disclosure proposes a communication system, comprising a terminal and a network device, wherein the terminal is configured to implement the communication method described in any one of the first aspects of the present disclosure, and the network device is configured to implement the communication method described in any one of the second aspects of the present disclosure.

[0098] In an eighth aspect, an embodiment of the present disclosure proposes a storage medium storing instructions. When the instructions are executed on a communication device, the communication device executes a communication method as described in any one of the first aspect or the second aspect of the present disclosure.

[0099] Through the above method, first information is sent to the network device. The first information is used to indicate the AI ​​functions supported by the terminal. The AI ​​functions are associated with parameter values ​​in a first parameter set. The first parameter set includes at least one or more configuration parameters. The value ranges of at least one configuration parameter in the first parameter set corresponding to different AI functions partially overlap. This allows the terminal to report the AI ​​functions supported, configure a mapping relationship between the AI ​​functions and the parameter set values, and determine the corresponding AI functions by configuring parameter sets with different values, thereby implementing parameter set-based lifecycle management of the AI ​​functions.

[0100] It is understandable that the above-mentioned terminal, access network device, first network element, second network element, core network device, communication system, storage medium, program product, computer program, chip or chip system are all used to perform the method proposed in the embodiment of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding method and will not be repeated here.

[0101] In some embodiments, the terms communication method and information processing method are interchangeable, the terms communication device and information processing device are interchangeable, and the terms information processing system and communication system are interchangeable.

[0102] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0103] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

[0104] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0105] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "the", "the", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun following the article may be understood as a singular expression or a plural expression.

[0106] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0107] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0108] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

[0109] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.

[0110] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for another example, if the description object is "information", then the "first information" and the "second information" can be the same information or different information, and their contents can be the same or different.

[0111] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0112] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0113] In some embodiments, terms such as "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not less than", and "above" can be replaced with each other, and terms such as "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

[0114] In some embodiments, devices, etc. can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. Terms such as "device", "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", and "subject" can be used interchangeably.

[0115] In some embodiments, "network" can be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

[0116] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal", "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, etc. can be used interchangeably.

[0117] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, the core network device, or the network device may have a structure that has all or part of the functions of the terminal.

[0118] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0119] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0120] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0121] FIG1a is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure. As shown in FIG1a , a communication system 100 includes a terminal 101 , an access network device 102 , and a core network device 103 .

[0122] In some embodiments, the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.

[0123] In some embodiments, the access network device 102 is, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

[0124] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0125] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0126] In some embodiments, the core network device 103 may be a single device including a first network element 1031, a second network element 1032, etc., or may be a plurality of devices or a device group including all or part of the first network element 1031, the second network element 1032, etc. The network element may be virtual or physical. The core network may include, for example, at least one of an evolved packet core (EPC), a 5G core network (5GCN), and a next generation core (NGC).

[0127] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

[0128] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1a, or a portion thereof, but are not limited thereto. The entities shown in FIG1a are illustrative only. The communication system may include all or part of the entities shown in FIG1a, or may include other entities other than those shown in FIG1a. The number and form of the entities may be arbitrary, and the entities may be physical or virtual. The connection relationship between the entities is illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0129] The embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), future radio access (FRA), new radio access technology (RAT), new radio (NR), new radio access (NX), future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X), systems utilizing other communication methods, and next-generation systems based on and extending these methods. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0130] In some implementations, the widespread application of new air interface communication technology will bring significant changes to all aspects of people's lives. According to the application vision provided by the ITU (International Telecommunication Union), new air interface communication technology will penetrate all areas of future society, building a comprehensive information ecosystem centered on users. Among them, user communication experience rates can reach 100Mbit / s to 1Gbit / s, supporting a variety of service experiences such as mobile virtual reality; communication peak rates can reach 10Gbit / s to 20Gbit / s, and traffic density can reach 10Mbit / s / m², supporting more than a thousand-fold increase in mobile service traffic; communication connection density can reach 1 million / m², effectively supporting massive IoT devices; communication transmission latency can reach milliseconds, meeting the stringent requirements of vehicle networking and industrial control; new air interface communication can support communication transmission at speeds of 500km / h, ensuring a good user communication experience in high-speed environments such as high-speed rail. Therefore, new air interface communication technology can represent a new type of infrastructure to build a new information society.

[0131] In some implementations, AI (Artificial Intelligence) technology has made continuous breakthroughs in multiple fields. The continuous development of fields such as intelligent voice and computer vision has not only brought a variety of rich and colorful applications to smart terminals, but has also been widely used in multiple fields such as education, transportation, home, medical care, retail, and security. While bringing convenience to people's lives, it is also promoting industrial upgrading in various industries. AI technology is also accelerating its cross-penetration with other disciplines. Its development integrates knowledge from different disciplines while also providing new directions and methods for the development of different disciplines. For example, in order to cope with the complex and changeable communication process in the new air interface communication technology, AI technology is introduced to assist the transmission technology of the wireless air interface, thereby improving the communication transmission efficiency. For example, in the research of wireless AI, AI application cases include: AI-based CSI (Channel State Information) enhancement, AI-based beam management, and AI-based terminal positioning.

[0132] In some embodiments, two methods for AI model lifecycle management during communication are defined: one is a lifecycle management method based on AI functionality, including activation, deactivation, switching, or fallback to non-AI processing methods; the other is a method in which a single AI / ML (Machine Learning) feature can include multiple AI functionalities, each corresponding to a series of parameter configuration items, and different AI functionalities can be associated with different parameter values. However, in related art, how to construct AI functionality based on different parameter values ​​is not clearly defined. Since AI functionality lifecycle management can be performed based on the configuration parameters of the AI ​​functionality, and the relationship between the configuration parameters and AI functionality lifecycle management is also unclear, the configuration parameter-based AI functionality determination method and AI functionality lifecycle management are disordered.

[0133] In some embodiments, one or more AI-features may be included in both the terminal and the network device. Different AI-features correspond to different AI assistance in the communication process. Each AI-feature may include one or more AI-functionalities, and the AI-functionality may be determined based on the values ​​of one or more configuration parameters. The value ranges of the configuration parameters corresponding to different AI-functionalities may partially overlap. For example, when the value range of configuration parameter A is [1, 4], it corresponds to AI-functionality-1 in the AI-feature. When the value range of configuration parameter A is [2, 5], it corresponds to AI-functionality-2 in the AI-feature. For the same AI-feature, the values ​​of configuration parameter A corresponding to AI-functionality-1 and AI-functionality-2 partially overlap in [2, 4]. In this case, if the value of configuration parameter A in the first parameter set is 3, then the AI-functionality corresponding to the first parameter set includes AI-functionality-1 and AI-functionality-2.

[0134] Figure 1b is a schematic diagram of a method for configuring AI-functionality according to an embodiment of the present disclosure. As shown in Figure 1b, the same AI-feature corresponding to the terminal includes multiple AI-functionalities, and the different AI-functionalities are determined by the value range of configuration parameter A. When the value range of configuration parameter A is [A1, A3], it corresponds to AI-functionality-1 in the AI-feature; when the value range of configuration parameter A is [A2, A4], it corresponds to AI-functionality-2 in the AI-feature. In this case, the value range of configuration parameter A corresponding to AI-functionality-1 and AI-functionality-2 overlaps within the range of [A2, A3]. That is, when the value of the same AI-feature configuration parameter A is [A2, A3], the configuration parameter A corresponds to both AI-functionality-1 and AI-functionality-2.

[0135] Figure 1c is a schematic diagram illustrating a method for configuring AI-functionality according to an embodiment of the present disclosure. As shown in Figure 1c, a terminal may include multiple AI-functionalities corresponding to the same AI-feature, namely AI-functionality-1, AI-functionality-2, AI-functionality-3, and AI-functionality-4. These multiple AI-functionalities are determined based on the value ranges of configuration parameters A and B. Different value ranges of configuration parameters A and B correspond to different AI-functionalities. As shown in Figure 2b, under the AI-feature, when the value range of configuration parameter A is [A1, A3] and the value range of configuration parameter B is [B2, B4], it corresponds to AI-functionality-1; when the value range of configuration parameter A is [A2, A4] and the value range of configuration parameter B is [B2, B4], it corresponds to AI-functionality-2; at this time, when the value range of configuration parameter A is [A2, A3] and the value range of configuration parameter B is [B2, B3], it can correspond to AI-functionality-1 and AI-functionality-2 under the AI-feature, that is, there is some overlap in the values ​​of the configuration parameters corresponding to AI-functionality-1 and AI-functionality-1, and the overlapping part is configuration parameter A [A2, A3] and configuration parameter B [B2, B3].

[0136] In some embodiments, in the above embodiments, AI-functionality is determined by configuration parameter A and / or configuration parameter B. However, in this embodiment, the number of corresponding types of configuration parameters is not limited. AI-functionality can be assigned by the value range of a one-dimensional configuration parameter, for example, by the value of configuration parameter A or configuration parameter B. AI-functionality can also be assigned by the value range of multiple configuration parameters, for example, by the value range of configuration parameter A, configuration parameter B, ..., configuration parameter N, etc. The value ranges of each configuration parameter collectively constitute the value range of the corresponding AI-functionality, and the value ranges of configuration parameters for different AI-functionalities under the same AI-feature may partially overlap.

[0137] For example, taking AI-based CSI compression as an example, AI / ML features are configured in both the terminal and the network device, which are used to enable the terminal and the network device to compress the CSI measured on the terminal side by AI, and decompress the CSI information uploaded by the terminal by using an AI-based method on the network device side, thereby obtaining the CSI information reported by the terminal. For the AI / ML feature configured in the terminal and the network device, four types of AI-functionality are configured under the AI / ML feature, and the AI-functionality is determined by the value range of the CSI frequency domain configuration parameter CSI-RS frequency and the terminal antenna configuration parameter CSI-RS port. According to the value range of AI-functionality and the value range of the CSI-RS frequency configuration parameter and the value range of the CSI-RS port configuration parameter, the following mapping table is configured:

[0138] According to the above mapping table, AI-functionality-1 and AI-functionality-2 overlap in the configuration parameters: CSI-RS frequency {16RBs, 32RBs, 48RBs} and CSI-RS port {64ports}; AI-functionality-2 and AI-functionality-3 overlap in the configuration parameters: CSI-RS frequency {48RBs} and CSI-RS port {64ports}; AI-functionality-3 and AI-functionality-4 overlap in the configuration parameters: CSI-RS frequency {48RBs, 96RBs, 128RBs} and CSI-RS port {64ports}. The frequency domain configuration parameters and antenna configuration parameters corresponding to the four AI-functionalities partially overlap.

[0139] In some implementations, the network device sends parameter configuration information to the terminal to indicate configuration parameters and value ranges of the configuration parameters. For example, in this embodiment, the configuration parameters are different from the lifecycle management message for AI-functionality in the terminal, where the lifecycle management message is used to indicate whether the terminal supports activation, deactivation, or switching of AI-functionality.

[0140] In some embodiments, the configuration parameter sent by the network device is used to indicate a value range of the configuration parameter, and the configuration parameter is associated with the AI-functionality supported by the terminal. In this embodiment, the parameter configuration information and / or parameter reconfiguration information of the configuration parameter does not cause the lifecycle management action of the AI-functionality in the terminal, that is, the configuration parameter does not bring about the activation, deactivation and switching actions of the AI-functionality in the terminal.

[0141] In some implementations, the configuration parameter sent by the network device indicates a value range for the configuration parameter. The terminal can determine the AI ​​functionality associated with the configuration parameter based on the value range and the mapping relationship in the mapping table. When the network device needs to activate the AI ​​functionality in the terminal, the network device needs to resend activation signaling for the AI ​​functionality to the terminal, and the terminal activates the corresponding AI functionality based on the activation signaling.

[0142] In some embodiments, before receiving the configuration parameters sent by the network device, AI-functionality-1 under the same AI-feature is activated in the terminal. After receiving the configuration parameters, the terminal determines according to the above-mentioned mapping table that the configuration parameters correspond to an AI-functionality, and the AI-functionality is AI-functionality-1, then the terminal continues to run the current AI-functionality-1; when it is determined according to the above-mentioned mapping table that the AI-functionality corresponding to the configuration parameters is AI-functionality-2, and the terminal receives activation signaling for activating AI-functionality-2 corresponding to the configuration parameters, the terminal performs AI-functionality switching, and switches the AI-functionality currently running in the terminal from AI-functionality-1 to AI-functionality-2.

[0143] In some embodiments, when it is determined according to the mapping table that the AI-functionality-2 corresponding to the configuration parameter is different from the AI-functionality-1 currently running on the terminal, and the terminal does not receive activation signaling for AI-functionality-2, the configuration parameter is processed according to a non-AI processing method.

[0144] In some embodiments, when the value range of the configuration parameter determined according to the mapping table is different from the value range of the configuration parameter corresponding to each AI-functionality in the mapping table, the configuration parameter is processed according to a non-AI processing method.

[0145] In some embodiments, a network device may perform lifecycle management of AI functions supported in a terminal based on configuration parameters. For example, when it is determined according to the above mapping table that a configuration parameter corresponds to only one AI-functionality, if the terminal currently has not activated other AI-functionalities under the same AI-feature, the AI-functionality corresponding to the configuration parameter is activated. If the terminal currently has activated AI-functionality-1 under the same AI-feature, and this AI-functionality-1 is different from AI-functionality-2 corresponding to the configuration parameter, the currently activated AI-functionality-1 is deactivated and AI-functionality-2 is activated.

[0146] In some embodiments, when it is determined, based on the above-described mapping relationship, that a configuration parameter corresponds to multiple AI-functionalities, the terminal needs to determine the currently running AI-functionality based on the lifecycle management information of the AI ​​function. For example, when the multiple AI-functionalities include AI-functionality-1 under the same AI-feature currently running on the terminal, the terminal runs AI-functionality-1 based on the configuration parameters. When the multiple AI-functionalities do not include AI-functionality-1 under the same AI-feature currently running on the terminal, the network device may indicate AI-functionality-2 from the multiple AI-functionalities using the lifecycle management information, and the terminal may switch the currently running AI-functionality from AI-functionality-1 to AI-functionality-2 based on the lifecycle management information.

[0147] In some implementations, for example, after AI-based CSI compression is activated, a network device performs lifecycle management of the AI-functionality corresponding to CSI compression according to configuration parameters. When the network device sends the configuration parameters: CSI-RS frequency {32 RBs} and CSI-RS port {16 ports} to a terminal, and referring to the above mapping table, the configuration parameters correspond to a unique AI-functionalit-1, the terminal activates the AI-functionalit-1 according to the configuration parameters.

[0148] In some embodiments, when AI-based CSI compression of a terminal is activated, the terminal currently runs AI-functionalit-1. When the network device sends configuration parameters: CSI-RS frequency {48 RBs} and CSI-RS port {128 ports} to the terminal, it is determined according to the above mapping table that the configuration parameters correspond to AI-functionalit-2 and AI-functionalit-4. At this time, the network device needs to send separate lifecycle management information to indicate which of AI-functionalit-2 and AI-functionalit-4 is to be activated. For example, after sending the configuration parameters, the network device sends activation signaling to the terminal, and the terminal activates AI-functionalit-4 in the terminal according to the activation signaling.

[0149] In some embodiments, when AI-based CSI compression of a terminal is activated, the terminal currently runs AI-functionalit-1. When the network device sends configuration parameters: CSI-RS frequency {48 RBs} and CSI-RS port {64 ports} to the terminal, the terminal determines with reference to the above-mentioned mapping table that the configuration parameters correspond to AI-functionalit-1, AI-functionalit-2, AI-functionalit-3, and AI-functionalit-4, including AI-functionalit-1 currently running by the terminal, and the terminal continues to run AI-functionalit-1 based on the configuration parameters.

[0150] By configuring the mapping between parameter sets and AI functions in the terminal and network device, the terminal reports the supported AI functions. The network device can then send the parameter set to the terminal based on this mapping, thus managing the lifecycle of the AI ​​functions in the terminal. This avoids the problem of unclear correspondence between parameter sets and AI functions, which leads to disordered lifecycle management of AI functions.

[0151] Figure 2 is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in Figure 2, the communication method according to the embodiment of the present disclosure is performed by a network device and a terminal, and the method includes:

[0152] Step S2101: The terminal sends first information to the network device.

[0153] In some embodiments, the first information is used to indicate the AI ​​function supported by the terminal. For example, in this embodiment, the first information sent by the terminal to the network device may include function name information, function ID information, and function sequence information corresponding to the AI ​​function supported by the terminal. The network device can determine the AI ​​function supported by the terminal based on the first information. The AI ​​function is used to assist in wireless communication between the network device and the terminal to ensure communication parameters such as the quality and rate of the communication signal during wireless communication, thereby ensuring the stability of wireless communication.

[0154] In some embodiments, a mapping relationship is configured in both the terminal and the network device. The mapping relationship is a correspondence between AI functions and parameter values ​​in the first parameter set, and different AI functions correspond to the values ​​of the first parameter set. The first parameter set includes one or more configuration parameters, each of which has a different value range. The value ranges of one or more configuration parameters together constitute the value range of the first parameter set. For example, the following mapping relationship is configured in the terminal and the network device:

[0155] As shown in the above mapping relationship, the first parameter set corresponding to each AI function includes configuration parameter A and configuration parameter B. The value of configuration parameter A and the value of configuration parameter B together constitute the value range of the first parameter set. The above mapping relationship can determine that there is partial overlap in the value ranges of the first parameter set corresponding to AI function-1, AI function-2, AI function-3, and AI function-4. For example, there is overlap between AI function-1 and AI function-2 when configuration parameter A is {1,2,3} and configuration parameter B is {4}. That is, when the configuration parameters are A{1,2,3}B{4}, AI function-1 and AI function-2 can be mapped according to the above mapping relationship. In this case, the correspondence between configuration parameters and AI functions is not unique. Therefore, other configuration parameters are required to indicate the terminal to implement lifecycle management of AI functions in the terminal. The configuration parameter types corresponding to the first parameter set can include multiple types, and the value ranges of the multiple configuration parameter types can collectively constitute the value range of the first parameter set.

[0156] In some embodiments, the first information includes a first parameter set, which includes one or more configuration parameters and a value range for each configuration parameter, and the value range of the one or more configuration parameters collectively constitutes a value range of the first parameter set. The first parameter set is used to instruct the network device to determine an AI function that matches the first parameter set based on a mapping relationship between the AI ​​function and the first parameter set, where the AI ​​function is an AI function supported by the terminal.

[0157] Optionally, in some embodiments, the AI ​​function is associated with an AI feature, and the AI ​​feature includes one or more AI functions.

[0158] For example, a terminal is configured with at least one AI feature, each of which includes one or more AI functions, each of which is used to implement the corresponding AI feature. Therefore, only one AI function can be running under the same AI feature at the same time in the terminal. The AI ​​function associated with the first parameter set under the current AI feature can be determined based on the first parameter set.

[0159] Step S2102: The network device receives the first information sent by the terminal.

[0160] In some embodiments, the first information is used to indicate AI functions supported by the terminal. For example, a network device is configured with multiple models, and different models correspond to different AI functions. The network device can determine the AI ​​functions supported by the terminal based on the first information reported by the terminal, and perform lifecycle management of the AI ​​functions in the terminal based on the AI ​​functions supported by the terminal. The lifecycle management actions may include activation, deactivation, or switching of the AI ​​functions in the terminal.

[0161] In some embodiments, a mapping relationship is configured in both the terminal and the network device. This mapping relationship is a correspondence between AI functions and parameter values ​​in the first parameter set. Different AI functions are mapped based on the values ​​of the first parameter set. The function of this mapping relationship is the same as in the above embodiment, and reference can be made to the above embodiment, and will not be repeated here.

[0162] Optionally, in some embodiments, the AI ​​function is associated with an AI feature, and the AI ​​feature includes one or more AI functions.

[0163] For example, the network device is also configured with at least one AI feature. Each AI feature includes one or more AI functions, each of which is used to implement the corresponding AI feature. Therefore, only one AI function can be running under the same AI feature at the same time in the terminal. The AI ​​function associated with the first parameter set under the current AI feature can be determined based on the first parameter set.

[0164] Optionally, in some embodiments, the method further comprises:

[0165] The network device generates second information based on the AI ​​function, where the second information includes a first configuration parameter, where the first configuration parameter is used to configure a parameter value in the first parameter set, and the first configuration parameter is used to instruct the terminal to determine a lifecycle management action for the AI ​​function based on the first configuration parameter.

[0166] The network device sends the second information to the terminal.

[0167] For example, after the network device determines the AI ​​function supported by the terminal based on the first information, it determines the first parameter set corresponding to the AI ​​function supported by the terminal based on the mapping relationship. The first parameter set may include one or more configuration parameters and the value range of one or more configuration parameters. After the network device determines the AI ​​function that needs to be scheduled in the current communication process based on the communication requirements of the current network communication environment, it determines the first configuration parameter corresponding to the AI ​​function that needs to be scheduled based on the mapping relationship. The first configuration parameter includes the value of one or more configuration parameters. The AI ​​function that needs to be scheduled may be an AI function supported by the terminal or may not be an AI function supported by the terminal. Second information is generated based on the first configuration parameter and sent to the terminal.

[0168] In some embodiments, the second information is used to configure a first configuration parameter to the terminal, and the first configuration parameter is used to configure a parameter value in a first parameter set. The parameter value range may be within the value range of the corresponding configuration parameter in the first parameter set. For example, the parameter value range may not be within the value range of the corresponding configuration parameter in the first parameter set.

[0169] Optionally, in some embodiments, the above steps generate the second information according to the AI ​​function, including:

[0170] The network device obtains a mapping relationship between the AI ​​function and the first parameter set;

[0171] The network device determines the first configuration parameter according to the mapping relationship;

[0172] The network device generates second information according to the first configuration parameter and sends the second information to the terminal.

[0173] For example, in this embodiment, after the network device determines the AI ​​function supported by the terminal based on the first information, it obtains the mapping relationship between the AI ​​function and the first parameter set, thereby determining the first parameter set corresponding to the AI ​​function supported by the terminal. The first parameter set includes one or more configuration parameters and the value range of each configuration parameter. Based on the first parameter set in the mapping relationship and the network requirements and network configuration of the current network environment, the network device selects the configuration parameters and the values ​​of the configuration parameters from the first parameter set as the first configuration parameters, and then generates the second information based on the first configuration parameters and sends it to the terminal. In this way, the lifecycle management of the terminal's AI function is performed based on the first configuration parameters.

[0174] Optionally, in some embodiments, the above step of obtaining a mapping relationship between the AI ​​function and the first parameter set includes:

[0175] Network device acquisition configuration protocol;

[0176] The network device determines the mapping relationship according to the configuration protocol.

[0177] For example, in this embodiment, the network device determines the mapping relationship between the first parameter set in the terminal and the AI ​​function according to a configuration protocol. The configuration protocol can be configured in advance in the terminal. When the terminal receives the first configuration parameter sent by the network device, the mapping relationship between the first parameter set and the AI ​​function is determined by calling the configuration protocol.

[0178] Optionally, in some embodiments, the method further comprises:

[0179] The network device sends third information to the terminal, where the third information is used to instruct the terminal to activate the first AI function that matches the current configuration parameters according to the third information.

[0180] For example, the network device sends third information to the terminal, where the third information is activation information for the first AI function, and instructs the terminal to activate the first AI function that matches the current configuration parameters. The current configuration parameters may be parameters corresponding to the AI ​​function configured by the network device to the terminal before sending the third information. The terminal determines the first AI function based on the current configuration parameters and then activates the AI ​​function based on the third information.

[0181] In some embodiments, the current configuration parameter may also be a configuration parameter associated with an AI function supported by the terminal. The terminal may determine a first AI function that matches the current configuration parameter from a mapping relationship. In this case, the current configuration parameter and the first AI function have a unique corresponding relationship in the mapping relationship. After determining the first AI function based on the current configuration parameter, the first AI function in the terminal is activated based on the third information.

[0182] Optionally, in some embodiments, the method further comprises:

[0183] The terminal receives second information sent by the network device, where the second information includes a first configuration parameter, where the first configuration parameter is used to indicate a configuration parameter in the first parameter set and a value range of the configuration parameter;

[0184] The terminal determines a lifecycle management action for the AI ​​function based on the first configuration parameter.

[0185] For example, the terminal receives a second message sent by the network device, where the second message includes a first configuration parameter. The definition of the second information in this embodiment is consistent with that in the above embodiment and can be referred to in the above embodiment, and will not be repeated here. After the terminal receives the second message sent by the network device, it performs lifecycle management on the AI ​​function supported by the terminal based on the first configuration parameter in the second message. The lifecycle management actions include activation, deactivation, and switching of the AI ​​function.

[0186] Optionally, in some embodiments, the method further comprises:

[0187] The terminal receives the third information sent by the network device;

[0188] The terminal activates the first AI function that matches the current configuration parameters according to the third information.

[0189] For example, the function of the third information in this embodiment is the same as that in the above embodiment, and reference may be made to the above embodiment, which will not be repeated here.

[0190] Optionally, in some embodiments, the above steps of determining the lifecycle management action of the AI ​​function according to the first configuration parameter include:

[0191] The terminal obtains a mapping relationship between the AI ​​function and the first parameter set;

[0192] The terminal determines, from the mapping relationship, a second AI function corresponding to the first configuration parameter;

[0193] The terminal determines that the first AI function is the same as the second AI function, and runs the first AI function of the terminal;

[0194] The terminal determines that the first AI function is different from the second AI function, and disables the first AI function of the terminal.

[0195] For example, both the terminal and the network device are configured with a mapping relationship between the AI ​​function and the first parameter set. The definition of the mapping relationship is the same as in the above embodiment, and can refer to the above embodiment, and will not be repeated here. After receiving the first configuration parameter sent by the network device, the terminal determines the second AI function that matches the first configuration parameter according to the mapping relationship. Based on the above mapping relationship, the second AI function may include one AI function or multiple AI functions. When the determined second AI function is the same as the first AI function currently activated and running on the terminal, the first AI function of the terminal continues to run; when the determined second AI function is different from the first AI function currently activated and running on the terminal, the currently running first AI function is turned off, and life cycle management of other AI functions in the terminal is performed based on the first configuration parameter.

[0196] Optionally, in some embodiments, the above step of obtaining a mapping relationship between the AI ​​function and the first parameter set includes:

[0197] The terminal obtains the configuration protocol;

[0198] The terminal determines the mapping relationship according to the configuration protocol.

[0199] For example, in this embodiment, a mapping relationship between a first parameter set and an AI function in a terminal is determined based on a configuration protocol. The configuration protocol may be pre-configured in the terminal, and upon receiving the first configuration parameter sent by the network device, the mapping relationship between the first parameter set and the AI ​​function is determined by calling the configuration protocol.

[0200] Optionally, in some embodiments, the method further comprises:

[0201] The terminal determines that the first AI function is different from the second AI function and has not received activation signaling for the second AI function, and processes the first configuration parameter through a non-AI processing flow;

[0202] The terminal determines that the first AI function is different from the second AI function and receives activation signaling of the second AI function, disables the first AI function, and activates the second AI function of the terminal.

[0203] For example, in this embodiment, when the first AI function and the second AI function are different, the network device needs to reconfigure activation signaling to the terminal as lifecycle management information to perform lifecycle management of the AI ​​function in the terminal. After the terminal determines the second AI function corresponding to the first configuration parameter based on the mapping relationship, it compares the second AI function with the first AI function currently running on the terminal. When the first AI function and the second AI function are different, and the terminal does not receive the activation signaling sent by the network device to activate the second AI function within a set time, the first configuration parameter is processed through a non-AI processing flow; when the first AI function and the second AI function are different, and the terminal receives the activation signaling of the second AI function, the AI ​​function is switched in the terminal, the currently running first AI function is turned off, and the second AI function in the terminal is activated.

[0204] Optionally, in some embodiments, the second AI function includes multiple AI functions, and the above steps determine that the first AI function is the same as the first AI function, and running the first AI function of the terminal includes:

[0205] The terminal determines that the first AI function is any one of the multiple AI functions;

[0206] The terminal runs the first AI function.

[0207] For example, in this embodiment, when it is determined based on the above mapping relationship that the second AI function corresponding to the first configuration parameter is multiple AI functions, the first AI function is compared with the multiple AI functions in the second AI function. If the multiple AI functions include the first AI function, the first AI function is executed based on the first configuration parameter.

[0208] Optionally, in some embodiments, the method further comprises:

[0209] The terminal determines that no AI function matching the first configuration parameter exists in the mapping relationship;

[0210] The terminal processes the first configuration parameter through a non-AI processing flow.

[0211] For example, after receiving a first configuration parameter, the terminal matches the first configuration parameter with a mapping relationship. If no AI function matching the first configuration parameter exists in the mapping relationship, the first configuration parameter is processed using a non-AI processing flow. The mismatch between the first configuration parameter and the mapping relationship includes the following situations: the first configuration parameter includes a configuration parameter type that is not included in the mapping relationship; and the value range of the configuration parameter in the mapping relationship differs from the value range corresponding to the first configuration parameter.

[0212] Optionally, in some embodiments, the method further comprises:

[0213] The terminal determines that the second AI function is activated, and sends fourth information to the network device.

[0214] In some embodiments, the fourth information is used to instruct the network device to activate the second AI function of the network device based on the fourth information. For example, after the terminal activates the second AI function based on the first configuration parameter, the terminal feeds back the fourth information to the network device, allowing the network device to determine that the second AI function in the terminal is activated and activate the second AI function in the network device based on the fourth information. This allows the terminal and the network device to wirelessly communicate based on the second AI function.

[0215] Optionally, in some embodiments, the method further comprises:

[0216] The network device receives the fourth information sent by the terminal;

[0217] The network device determines, according to the fourth information, that the second AI function of the terminal is activated, and activates the second AI function of the network device.

[0218] For example, the definition of the fourth information in this embodiment is the same as that in the above embodiment, and reference may be made to the above embodiment, which will not be repeated here.

[0219] Through the above method, first information is sent to the network device. The first information is used to indicate the AI ​​functions supported by the terminal. The AI ​​functions are associated with parameter values ​​in a first parameter set. The first parameter set includes at least one or more configuration parameters. The value ranges of at least one configuration parameter in the first parameter set corresponding to different AI functions in the AI ​​feature partially overlap. This configures a mapping relationship between the AI ​​functions and the parameter set values. By configuring parameter sets with different values, the corresponding AI functions are determined, thereby implementing parameter set-based lifecycle management of the AI ​​functions.

[0220] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codeword", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0221] In some embodiments, the terms "radio", "wireless", "radio access network (RAN)", "access network (AN)", "RAN-based" and the like may be used interchangeably.

[0222] In some embodiments, terms such as "synchronization signal (SS)", "synchronization signal block (SSB)", "reference signal (RS)", "pilot", and "pilot signal" can be used interchangeably.

[0223] In some embodiments, terms such as wireless access scheme and waveform may be used interchangeably.

[0224] In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.

[0225] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0226] In some embodiments, terms such as "certain", "preset", "preset", "setting", "indicated", "a certain", "any", and "first" can be interchangeable. "Specific A", "preset A", "preset A", "setting A", "indicated A", "a certain A", "any A", and "first A" can be interpreted as A pre-specified in a protocol, etc., or as A obtained through setting, configuration, or indication, etc., or as specific A, a certain A, any A, or first A, etc., but not limited to this.

[0227] In some embodiments, the determination or judgment can be performed by a value represented by 1 bit (0 or 1), or by a true or false value (Boolean value) represented by true or false, or by comparison of numerical values ​​(for example, comparison with a predetermined value), but is not limited thereto.

[0228] In some embodiments, "not expecting to receive" can be interpreted as not receiving on time domain resources and / or frequency domain resources, or as not performing subsequent processing on the data after receiving it; "not expecting to send" can be interpreted as not sending, or as sending but not expecting the recipient to respond to the content sent.

[0229] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 2 .

[0230] FIG3 is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG3 , the communication method according to the embodiment of the present disclosure is performed by a terminal, and the method includes:

[0231] Step S3101: Send first information to the network device.

[0232] In some embodiments, the first information is used to indicate the AI ​​function supported by the terminal. For example, in this embodiment, the first information sent by the terminal to the network device may include function name information, function ID information, and function sequence information corresponding to the AI ​​function supported by the terminal. The network device can determine the AI ​​function supported by the terminal based on the first information. The AI ​​function is used to assist in wireless communication between the network device and the terminal to ensure communication parameters such as the quality and rate of the communication signal during wireless communication, thereby ensuring the stability of wireless communication.

[0233] In some embodiments, a mapping relationship is configured in both the terminal and the network device, which is a correspondence between AI functions and parameter values ​​in a first parameter set, and different AI functions are mapped according to the values ​​of the first parameter set. The first parameter set includes one or more configuration parameters, each of which has a different value range, and the value ranges of the one or more configuration parameters together constitute the value range of the first parameter set.

[0234] The optional implementation of step S3101 can refer to the optional implementation of step S2101 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0235] In some embodiments, the AI ​​functionality is associated with an AI feature, which includes one or more AI functions.

[0236] In some embodiments, the method further comprises:

[0237] receiving second information sent by the network device, where the second information includes a first configuration parameter, where the first configuration parameter is used to indicate a configuration parameter in a first parameter set and a value range of the configuration parameter;

[0238] Determine a lifecycle management action for the AI ​​function based on the first configuration parameter.

[0239] In some embodiments, the method further comprises:

[0240] receiving third information sent by the network device;

[0241] A first AI function matching the current configuration parameters is activated according to the third information.

[0242] In some embodiments, the step of determining a lifecycle management action for the AI ​​function based on the first configuration parameter includes:

[0243] Obtaining a mapping relationship between the AI ​​function and the first parameter set;

[0244] Determining a second AI function corresponding to the first configuration parameter from the mapping relationship;

[0245] Determining that the first AI function is the same as the second AI function, and running the first AI function of the terminal;

[0246] It is determined that the first AI function is different from the second AI function, and the first AI function of the terminal is disabled.

[0247] In some embodiments, the method further comprises:

[0248] determining that the first AI function is different from the second AI function and that activation signaling of the second AI function has not been received, and processing the first configuration parameter through a non-AI processing flow;

[0249] It is determined that the first AI function is different from the second AI function and activation signaling of the second AI function is received, the first AI function is disabled, and the second AI function of the terminal is activated.

[0250] In some embodiments, the method further comprises:

[0251] It is determined that the second AI function is activated, and fourth information is sent to the network device, where the fourth information is used to instruct the network device to activate the second AI function of the network device according to the fourth information.

[0252] In some embodiments, the second AI function includes multiple second AI functions, determining that the first AI function is the same as the second AI function, and running the first AI function of the terminal include:

[0253] determining that the first AI function is any one of a plurality of second AI functions;

[0254] Run the terminal's first AI function.

[0255] In some embodiments, the method further comprises:

[0256] Determining that no AI function matching the first configuration parameter exists in the mapping relationship;

[0257] The first configuration parameter is processed through a non-AI processing flow.

[0258] In some embodiments, the step of obtaining a mapping relationship between the AI ​​function and the first parameter set includes:

[0259] Get the configuration protocol;

[0260] Determine the mapping relationship based on the configuration protocol.

[0261] Through the above method, first information is sent to the network device. The first information is used to indicate the AI ​​functions supported by the terminal. A mapping relationship exists between the AI ​​functions and parameter values ​​in a first parameter set. The first parameter set includes at least one or more configuration parameters. The value range of at least one configuration parameter in the first parameter set corresponding to different AI functions in the AI ​​feature partially overlaps. Thus, a mapping relationship between the AI ​​functions and the parameter set values ​​is configured. By configuring parameter sets with different values, the corresponding AI functions are determined, thereby implementing parameter set-based lifecycle management of the AI ​​functions.

[0262] FIG4 is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4 , the communication method according to the embodiment of the present disclosure is performed by a network device, and the method includes:

[0263] Step S4101: receiving the first information sent by the terminal.

[0264] In some embodiments, the first information is used to indicate AI functions supported by the terminal. For example, a network device is configured with multiple models, and different models correspond to different AI functions. The network device can determine the AI ​​functions supported by the terminal based on the first information reported by the terminal, and perform lifecycle management of the AI ​​functions in the terminal based on the AI ​​functions supported by the terminal. The lifecycle management actions may include activation, deactivation, or switching of the AI ​​functions in the terminal.

[0265] In some embodiments, a mapping relationship is configured in both the terminal and the network device. This mapping relationship is a correspondence between AI functions and parameter values ​​in the first parameter set. Different AI functions are mapped based on the values ​​of the first parameter set. The function of this mapping relationship is the same as in the above embodiment, and reference can be made to the above embodiment, and will not be repeated here.

[0266] The optional implementation of step S4101 can refer to the optional implementation of step S2102 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0267] In some embodiments, the AI ​​functionality is associated with an AI feature, which includes one or more AI functions.

[0268] In some embodiments, the method further comprises:

[0269] Generate second information based on the AI ​​function, where the second information includes a first configuration parameter, where the first configuration parameter is used to configure a parameter value in the first parameter set, and the first configuration parameter is used to instruct the terminal to determine a lifecycle management action for the AI ​​function based on the first configuration parameter;

[0270] The second information is sent to the terminal.

[0271] In some embodiments, the step of generating the second information according to the AI ​​function includes:

[0272] Obtaining a mapping relationship between the AI ​​function and the first parameter set;

[0273] Determining a first configuration parameter according to the mapping relationship;

[0274] According to the first configuration parameter, second information is generated and sent to the terminal.

[0275] In some embodiments, the step of obtaining a mapping relationship between the AI ​​function and the first parameter set includes:

[0276] Get the configuration protocol;

[0277] Determine the mapping relationship based on the configuration protocol.

[0278] In some embodiments, the method further comprises:

[0279] Sending third information to the terminal, where the third information is used to instruct the terminal to activate the first AI function that matches the current configuration parameters according to the third information.

[0280] In some embodiments, the method further comprises:

[0281] An activation signaling is sent to the terminal, where the activation signaling is used to instruct the terminal to activate the second AI function, where the second AI function corresponds to the first configuration parameter.

[0282] In some embodiments, the method further comprises:

[0283] receiving fourth information sent by the terminal;

[0284] It is determined according to the fourth information that the second AI function of the terminal is activated, and the second AI function of the network device is activated.

[0285] In the above embodiment, a terminal receives first information sent by the terminal, the first information being used to indicate AI functions supported by the terminal. A mapping relationship exists between the AI ​​functions and parameter values ​​in a first parameter set. The first parameter set includes at least one or more configuration parameters, and the value ranges of at least one configuration parameter in the first parameter set corresponding to different AI functions in the AI ​​feature partially overlap. Thus, in the network device, the mapping relationship between the values ​​of the configuration parameter set and the AI ​​functions can be configured to correspond to different AI functions based on different configuration parameter values. This clarifies the relationship between the configuration parameters and the AI ​​functions and avoids the problem of disrupted AI function lifecycle management caused by ambiguous parameter configuration.

[0286] FIG5 is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG5 , the embodiment of the present disclosure relates to a communication method, which is executed by a terminal and a network device. The method includes:

[0287] In step S5101, the terminal sends first information to a network device, where the first information is used to indicate AI-functionality supported by the terminal.

[0288] In some embodiments, both the terminal and the network device are configured with a mapping relationship between AI functions and parameter values ​​in a first parameter set. The first parameter set includes one or more configuration parameters, the values ​​of which collectively constitute the value range of the first parameter set. The value ranges of at least one configuration parameter in the first parameter set corresponding to different AI functions partially overlap. The mapping relationship in this embodiment is the same as in the above embodiment, and reference can be made to the above embodiment, and will not be repeated here.

[0289] In some embodiments, the terminal may also report the value range of the configuration parameters corresponding to the supported AI-functionality based on the mapping table in the above embodiment, and the network device may determine the AI-functionality supported by the terminal based on the value range and refer to the above mapping table.

[0290] In some embodiments, one or more AI features are configured in the terminal and network device, and each AI feature includes one or more AI-functionalities. Based on the above mapping relationship, the corresponding AI-functionality can be determined by the value range of one or more configuration parameters. The parameter value ranges corresponding to different AI-functionalities under the same AI feature may partially overlap.

[0291] Step S5102: The network device sends second information to the terminal, where the second information is used to activate AI-functionality that matches current configuration parameters.

[0292] For example, the definition of the second information in this embodiment has the same function as the third information in the above embodiment, and reference may be made to the definition of the above third information, which will not be repeated here.

[0293] Step S5103: The network device sends third information to the terminal, where the third information includes the first configuration parameter.

[0294] For example, in this embodiment, the first configuration parameter is associated with the AI ​​function supported by the terminal, and the network device instructs the lifecycle management action in the terminal according to the first configuration parameter.

[0295] In step S5104, the terminal determines a lifecycle management action for the AI ​​function based on the third information.

[0296] For example, lifecycle management actions include activation, deactivation, and switching of AI functions in the terminal.

[0297] In some embodiments, after the terminal activates the AI ​​feature corresponding to the AI ​​function, when it is determined that the terminal supports the AI ​​function associated with the first configuration parameter, and the first configuration parameter corresponds to only one AI function, the AI ​​function in the terminal is activated, and after the AI ​​function is activated, feedback information is sent to the network device, so that the network device activates the AI ​​function in the network device based on the feedback information.

[0298] In some embodiments, when it is determined that the AI ​​function corresponding to the first configuration parameter is different from the AI ​​function currently running in the terminal, the AI ​​function currently running in the terminal is disabled.

[0299] In some embodiments, when it is determined based on the above mapping relationship that the AI ​​function corresponding to the first configuration parameter includes multiple AI functions, the multiple AI functions are compared with the currently running AI function. If the currently running AI function is any one of the multiple AI functions, the currently used AI function continues to run.

[0300] In some embodiments, when it is determined based on the mapping relationship that the AI ​​function corresponding to the first configuration parameter includes multiple AI functions, and the multiple AI functions are all different from the currently running AI function, fourth information sent by the network device is received, where the fourth information is used to instruct the terminal to activate a specific AI function among the multiple AI functions. If the fourth information sent by the network device is not received within a preset time, the first configuration parameter is processed in a preset non-AI processing method.

[0301] In some embodiments, when there is no AI function matching the first configuration parameter in the mapping relationship, the first configuration parameter is processed by falling back to a non-AI processing method.

[0302] In some embodiments, taking the above-mentioned AI-based CSI compression as an example, when the AI-based CSI compression in the terminal is activated, the network device configures the first configuration parameter to the terminal: the frequency domain configuration parameter CSI-RS frequency is 32RBs, and the antenna configuration parameter CSI-RS port is 16ports. Based on the above-mentioned mapping table, it is determined that the first configuration parameter uniquely corresponds to AI-functionality-1, and then AI-functionality-1 in the terminal is activated.

[0303] When AI-based CSI compression is activated in the terminal, the terminal currently runs AI-functionality-1. At this time, the terminal receives the first configuration parameter sent to the terminal by the network device: the frequency domain configuration parameter CSI-RS frequency is 48RBs, and the antenna configuration parameter CSI-RS port is 128ports. Based on the above mapping table, it is determined that the first configuration parameter corresponds to AI-functionality-2 and AI-functionality-4. At this time, the network device needs to reconfigure the activation signaling to instruct the terminal to activate AI-functionality-2 or AI-functionality-4.

[0304] After AI-based CSI compression is activated in the terminal, the terminal currently runs AI-functionality-1. At this time, the terminal receives the first configuration parameter sent to the terminal by the network device: the frequency domain configuration parameter CSI-RS frequency is 48 RBs, and the antenna configuration parameter CSI-RS port is 64 ports. Based on the above mapping table, it is determined that the first configuration parameter corresponds to AI-functionality-1, and the terminal continues to run AI-functionality-1.

[0305] By configuring the mapping between parameter sets and AI functions in the terminal and network device, the terminal reports the supported AI functions. The network device can then send the parameter set to the terminal based on this mapping, thus managing the lifecycle of the AI ​​functions in the terminal. This avoids the problem of unclear correspondence between parameter sets and AI functions, which leads to disordered lifecycle management of AI functions.

[0306] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0307] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), which realizes the functions of some or all of the above units or modules by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.

[0308] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationship of the hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and implementing the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0309] Figure 6 is a structural diagram of a terminal 6100 proposed in an embodiment of the present disclosure. As shown in Figure 6, the terminal 6100 may include: a transceiver module 6101. In some embodiments, the transceiver module 6101 is configured to send a first information to a network device, where the first information is used to indicate an AI function supported by the terminal, and the AI ​​function is associated with a parameter value in a first parameter set. The first parameter set includes one or more configuration parameters, and the value range of at least one configuration parameter in the first parameter set corresponding to different AI functions partially overlaps. Optionally, the above-mentioned transceiver module is used to perform at least one of the communication steps such as sending and / or receiving performed by the terminal 101 in any of the above methods, which will not be repeated here.

[0310] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

[0311] In some embodiments, the transceiver module may be a single module or may include multiple submodules. Optionally, the multiple submodules respectively execute all or part of the steps required to be executed by the processing module.

[0312] Figure 7 is a structural diagram of a network device 7100 proposed in an embodiment of the present disclosure. The network device 7100 can be an access network device, a core network device, etc., or a terminal (such as a user device, etc.), or a chip, a chip system, or a processor that supports the network device to implement any of the above methods, or a chip, a chip system, or a processor that supports the terminal to implement any of the above methods. The network device 7100 may include: a transceiver module 7101, which is configured to receive first information sent by the terminal, the first information is used to indicate the AI ​​function supported by the terminal, the AI ​​function is associated with the parameter value in the first parameter set, the first parameter set includes one or more configuration parameters, and the value range of at least one configuration parameter in the first parameter set corresponding to different AI functions partially overlaps. Optionally, the above-mentioned transceiver module 7101 is used to perform at least one of the communication steps such as sending and / or receiving performed by the network device 102 in any of the above methods, which will not be repeated here.

[0313] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

[0314] Figure 8 is a schematic diagram of the structure of a communication device 8100 proposed in an embodiment of the present disclosure. Communication device 8100 can be a network device (e.g., an access network device, a core network device, etc.), a terminal (e.g., a user equipment, etc.), a chip, a chip system, or a processor that supports a network device to implement any of the above methods, or a chip, a chip system, or a processor that supports a terminal to implement any of the above methods. Communication device 8100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

[0315] As shown in Figure 8, the communication device 8100 includes one or more processors 8101. The processor 8101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process the communication protocol and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process program data. Optionally, the communication device 8100 is used to perform any of the above methods. Optionally, one or more processors 8101 are used to call instructions to enable the communication device 8100 to perform any of the above methods.

[0316] In some embodiments, the communication device 8100 further includes one or more transceivers 8102. When the communication device 8100 includes one or more transceivers 8102, the transceiver 8102 performs at least one of the communication steps, such as sending and / or receiving, in the above-described method, and the processor 8101 performs at least one of the other steps. In an optional embodiment, the transceiver may include a receiver and / or a transmitter, and the receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, and interface may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

[0317] 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 may be located outside the communication device 8100. In alternative embodiments, the communication device 8100 may include one or more interface circuits 8104. Optionally, the interface circuits 8104 are connected to the memory 8102 and may be configured to receive data from the memory 8102 or other devices, or to send data to the memory 8102 or other devices. For example, the interface circuits 8104 may read data stored in the memory 8102 and send the data to the processor 8101.

[0318] The communication device 8100 described in the above embodiment may 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 may not be limited by FIG. 8A. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0319] The modules and / or devices described in various embodiments, such as virtual devices, physical devices, and chips, can be arbitrarily combined or separated according to circumstances. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0320] The present disclosure also proposes a storage medium having instructions stored thereon, which, when executed on the communication device 8100, causes the communication device 8100 to execute any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto, and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto, and may also be a temporary storage medium.

[0321] The present disclosure also provides a program product, which, when executed by the communication device 8100, enables the communication device 8100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0322] The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to perform any one of the above methods.

Claims

1. A communication method, characterized in that, Executed by a terminal, the method includes: Sending first information to a network device, the first information being used to indicate AI functions supported by the terminal, the AI functions being associated with parameter values in a first parameter set, the first parameter set including one or more configuration parameters, and there being partial overlap in the value ranges of at least one configuration parameter in the first parameter set corresponding to different AI functions.

2. The method according to claim 1, wherein The AI functions are associated with AI features, and the AI features include one or more AI functions.

3. The method according to any one of claims 1-2, characterized in that The method further includes: Receiving second information sent by the network device, the second information including a first configuration parameter, the first configuration parameter indicating the configuration parameters and the value ranges of the configuration parameters in the first parameter set; Determining a lifecycle management action for the AI functions according to the first configuration parameter.

4. The method according to claim 3, characterized in that, The method further includes: Receiving third information sent by the network device; Activating a first AI function that matches the current configuration parameter according to the third information.

5. The method according to claim 4, characterized in that The determining the lifecycle management action for the AI functions according to the first configuration parameter includes: Obtaining a mapping relationship between the AI functions and the first parameter set; Determining a second AI function corresponding to the first configuration parameter from the mapping relationship; Determining that the first AI function is the same as the second AI function, and running the first AI function of the terminal; Determining that the first AI function is different from the second AI function, and closing the first AI function of the terminal.

6. The method according to claim 4, wherein The method further includes: Determining that the first AI function is different from the second AI function and no activation signaling for the second AI function is received, and processing the first configuration parameter through a non-AI processing flow; Determining that the first AI function is different from the second AI function and the activation signaling for the second AI function is received, closing the first AI function, and activating the second AI function of the terminal.

7. The method according to claim 6, characterized in that, The method further includes: Determining that the second AI function is activated, and sending fourth information to the network device, the fourth information being used to indicate the network device to activate the second AI function of the network device.

8. The method according to claim 5, wherein The second AI function includes multiple AI functions, and the determining that the first AI function is the same as the second AI function and running the first AI function of the terminal includes: Determining that the first AI function is any one of the multiple AI functions; Running the first AI function of the terminal.

9. The method according to claim 5, wherein The method further includes: Determining that there is no AI function in the mapping relationship that matches the first configuration parameter; Processing the first configuration parameter through a non-AI processing flow.

10. The method according to any one of claims 3-9, characterized in that, The obtaining the mapping relationship between the AI functions and the first parameter set includes: Obtaining a configuration protocol; Determining the mapping relationship according to the configuration protocol.

11. A communication method, characterized in that, Executed by a network device, the method includes: Receiving first information sent by a terminal, the first information being used to indicate AI functions supported by the terminal, the AI functions being associated with parameter values in a first parameter set, the first parameter set including one or more configuration parameters, different AI functions corresponding to the first parameter There is partial overlap in the value ranges of at least one configuration parameter.

12. The method according to claim 11, wherein The AI function is associated with AI features, and the AI features include one or more AI functions.

13. The method according to claim 11, wherein The method further includes: Generating second information according to the AI function, where the second information includes a first configuration parameter, the first configuration parameter is used to indicate the configuration parameters and the value ranges of the configuration parameters in the first parameter set, and the first configuration parameter is further used to indicate that the terminal determines the life cycle management action of the AI function according to the first configuration parameter; Sending the second information to the terminal.

14. The method according to claim 13, wherein The generating second information according to the AI function includes: Obtaining the mapping relationship between the AI function and the first parameter set; Determining the first configuration parameter according to the mapping relationship; Generating the second information according to the first configuration parameter and sending it to the terminal.

15. The method according to claim 14, wherein The obtaining the mapping relationship between the AI function and the first parameter set includes: Obtaining a configuration protocol; Determining the mapping relationship according to the configuration protocol.

16. The method according to any one of claims 13 - 15, characterized in that, The method further includes: Sending third information to the terminal, where the third information is used to instruct the terminal to activate a first AI function that matches the current configuration parameter according to the third information.

17. The method according to claim 16, wherein The method further includes: Sending an activation signaling to the terminal, where the activation signaling is used to instruct the terminal to activate a second AI function, and the second AI function corresponds to the first configuration parameter.

18. The method according to claim 17, wherein The method further includes: Receiving fourth information sent by the terminal; Determining that the second AI function of the terminal is activated according to the fourth information, and activating the second AI function of the network device.

19. A terminal, characterized in that, Includes: A transceiver module, configured to send first information to a network device, where the first information is used to indicate the AI functions supported by the terminal, the AI functions are associated with the parameter values in the first parameter set, the first parameter set includes at least one or more configuration parameters, and there is partial overlap in the value ranges of at least one configuration parameter corresponding to different AI functions.

20. A network device, characterized in that, Includes: A transceiver module, configured to receive first information sent by a terminal, where the first information is used to indicate the AI functions supported by the terminal, the AI functions are associated with the parameter values in the first parameter set, the first parameter set includes at least one or more configuration parameters, and there is partial overlap in the value ranges of at least one configuration parameter corresponding to different AI functions.

21. A terminal, characterized in that, Includes: One or more processors; A memory coupled to the one or more processors, where the memory includes executable instructions, and when the executable instructions are executed by the one or more processors, the terminal is caused to execute the communication method according to any one of claims 1-10.

22. A network device, characterized in that, Includes: One or more processors; A memory coupled to the one or more processors, where the memory includes executable instructions, when the executable instructions are executed by the one or more processors, the first device is caused to execute the communication method according to any one of claims 11-18.

23. A communication system, characterized in that, It includes a terminal and a network device. Among them, the terminal is configured to implement the communication method described in any one of claims 1-10, and the network device is configured to implement the communication method described in any one of claims 11-18.

24. A storage medium, the storage medium stores instructions, characterized in that, When the instruction runs on the communication device, it causes the communication device to execute the communication method described in any one of claims 1-10 or claims 11-18.

Images