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, the first information being used for indicating AI functions supported by a terminal, the AI functions being associated with values of parameters in a first parameter set, the first parameter set comprising one or more configuration parameters, and different AI functions corresponding to different value ranges of the configuration parameters in the first parameter set. Thus, mapping relationships between AI functions and values of a parameter set are configured, and corresponding AI functions are determined by means of parameter sets configured with different values, thereby achieving management of lifecycles 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] A research project on the application of artificial intelligence technology in wireless air interface communications has been established in related technologies. 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 a 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 one or more configuration parameters, and different AI functions correspond to different value ranges of the configuration parameters in the first parameter set.

[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 one or more configuration parameters, and different AI functions correspond to different value ranges of the configuration parameters in the first parameter set.

[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 one or more configuration parameters, and different AI functions correspond to different value ranges of the configuration parameters in the first parameter set.

[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, where the AI ​​function is associated with a parameter value in a first parameter set, where the first parameter set includes one or more configuration parameters, and different AI functions correspond to different value ranges of the configuration parameters in the first parameter set.

[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. 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.

[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 one or more configuration parameters. Different AI functions correspond to different value ranges of the configuration parameters in the first parameter set. 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 another 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 schematic flow chart showing a communication method according to an embodiment of the present disclosure.

[0031] FIG5 is a schematic diagram 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 a 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 one or more configuration parameters, and different AI functions correspond to different value ranges of the configuration parameters in the first parameter set.

[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 is used to indicate a configuration parameter and a value range of the configuration parameter in the first parameter set;

[0042] Determine the first configuration parameter and associate it with the AI ​​function;

[0043] Determine a first AI function corresponding to the first configuration parameter.

[0044] In conjunction with some embodiments of the first aspect, in some embodiments, determining the first AI function corresponding to the first configuration parameter includes:

[0045] Obtaining a mapping relationship between the AI ​​function and the first parameter set;

[0046] Determine the first AI function that matches the first configuration parameter from the mapping relationship.

[0047] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0048] Determining that no AI function matching the first configuration parameter exists in the mapping relationship, and processing the first configuration parameter through a non-AI processing flow.

[0049] In conjunction with some embodiments of the first aspect, in some embodiments, obtaining the mapping relationship between the AI ​​function and the first parameter set includes:

[0050] Get the configuration protocol;

[0051] The mapping relationship is determined according to the configuration protocol.

[0052] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0053] determining that the first AI function does not match a second AI function currently running on the terminal, and disabling the second AI function;

[0054] Activate the first AI function.

[0055] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0056] Determine that the first AI function in the terminal is activated, and send the third information to the network device, where the third information is used to instruct the network device to activate the first AI function in the network device according to the third information.

[0057] In the above embodiment, first information is sent to a network device. The first information is used to indicate AI functions supported by the terminal. The AI ​​functions are associated with parameter values ​​in a first parameter set. The first parameter set includes one or more configuration parameters. Different AI functions in the AI ​​feature have different value ranges for the configuration parameters in the first parameter set. This allows for configuring a mapping 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.

[0058] In a second aspect, an embodiment of the present disclosure provides a communication method, which is performed by a network device. The method includes:

[0059] 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 one or more configuration parameters, and different AI functions correspond to different value ranges of the configuration parameters in the first parameter set.

[0060] Through the above method, the mapping relationship between the values ​​of the configuration parameter set and the AI ​​function is configured in the network device, so that different AI functions can be mapped according to different configuration parameters with different values. The relationship between the configuration parameters and the AI ​​function is clarified, and the problem of disordered AI function lifecycle management caused by ambiguous parameter configuration is avoided.

[0061] 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.

[0062] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0063] generating second information according to the AI ​​function, where the second information includes a first configuration parameter, where the first configuration parameter is used to indicate a configuration parameter and a value range of the configuration parameter in the first parameter set;

[0064] Send the second information to the terminal.

[0065] In conjunction with some embodiments of the second aspect, in some embodiments, generating the second information according to the AI ​​function includes:

[0066] Obtaining a mapping relationship between the AI ​​function and the first parameter set;

[0067] Determining the first configuration parameter according to the mapping relationship;

[0068] The second information is generated according to the first configuration parameters.

[0069] 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:

[0070] Get the configuration protocol;

[0071] According to the configuration protocol, the mapping relationship between the AI ​​function and the first parameter set is determined.

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

[0073] receiving third information sent by the terminal;

[0074] According to the third information, a first AI function corresponding to the first configuration parameter in the network device is activated.

[0075] In the above embodiment, the first information sent by the terminal is received. 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 one or more configuration parameters. Different AI functions in the AI ​​feature have different value ranges for the configuration parameters in the first parameter set. This allows the mapping between the values ​​of the parameter set and the AI ​​functions to be configured in the network device, avoiding the problem of disrupted AI function lifecycle management caused by ambiguous parameter configuration.

[0076] In a third aspect, an embodiment of the present disclosure provides a terminal, including:

[0077] 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 one or more configuration parameters, and different AI functions correspond to different value ranges of the configuration parameters in the first parameter set.

[0078] In a fourth aspect, an embodiment of the present disclosure provides a network device, including:

[0079] 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, where the AI ​​function is associated with a parameter value in a first parameter set, where the first parameter set includes one or more configuration parameters, and different AI functions correspond to different value ranges of the configuration parameters in the first parameter set.

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

[0081] one or more processors;

[0082] 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.

[0083] In a sixth aspect, an embodiment of the present disclosure provides a network device, including:

[0084] one or more processors;

[0085] 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.

[0086] 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.

[0087] 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.

[0088] 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 one or more configuration parameters. Different AI functions correspond to different value ranges of the configuration parameters in the first parameter set. 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.

[0089] It is understandable that the above-mentioned terminals, network devices, communication systems, storage media, and computer programs are all used to execute the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding methods and will not be repeated here.

[0090] The present disclosure provides a communication method, a terminal, a network device, a system, and a storage medium. In some embodiments, the terms communication method and information processing method are interchangeable, the terms information processing device and communication device are interchangeable, and the terms information processing system and communication system are interchangeable.

[0091] 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.

[0092] 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.

[0093] 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.

[0094] 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.

[0095] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0096] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0097] 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.

[0098] 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.

[0099] 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.

[0100] 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.

[0101] 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.

[0102] 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.

[0103] 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.

[0104] In some embodiments, "network" can be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

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

[0106] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal", "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, etc. can be used interchangeably.

[0107] In some embodiments, the access network device, the core network device, or the network device can be replaced by a terminal. For example, the various embodiments of the present disclosure can also be applied to a structure in which the communication between the access network device, the core network device, or the network device and the terminal is replaced by communication between multiple terminals (for example, device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, it is also possible to set the structure in which the terminal has all or part of the functions of the access network device. In addition, terms such as "uplink" and "downlink" can also be replaced by terms corresponding to communication between terminals (for example, "side"). For example, uplink channels, downlink channels, etc. can be replaced by side channels, and uplinks, downlinks, etc. can be replaced by side links.

[0108] 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.

[0109] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0110] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0111] 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.

[0112] 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 .

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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).

[0118] 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.

[0119] 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.

[0120] 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).

[0121] 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.

[0122] 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.

[0123] In some embodiments, two approaches to AI model lifecycle management during communication are defined: one is based on AI-functionality lifecycle management, including activation, deactivation, switching, or fallback to non-AI processing. The other is that a single AI / ML (Machine Learning) feature can include multiple AI-functionalities, with each AI-functionality corresponding to a series of parameter configuration items. Different AI-functionalities can correspond to different parameter values. However, in related art, how to construct AI-functionality based on different parameter values ​​is not clearly defined. Because AI-functionality lifecycle management can be performed based on AI-functionality configuration parameters, and the relationship between 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. For example, in this embodiment, the definition of AI-functionality is the same as that of AI function, and the definition of AI-feature is the same as that of AI feature.

[0124] In some implementations, both the terminal and the network device may include one or more AI features, with different AI features corresponding to different AI functions during the communication process. Each AI feature may include one or more AI functionalities, and the AI ​​functionalities may be determined based on one or more configuration parameters. Different value ranges of the configuration parameters correspond to different AI functionalities, and the value ranges of the configuration parameters for different AI functionalities do not overlap at all. Different value ranges of the configuration parameters correspond one-to-one to different AI functionalities.

[0125] For example, Figure 1b is a schematic diagram illustrating a method for configuring AI-functionality according to an embodiment of the present disclosure. As shown in Figure 1b, the AI-functionality under the same AI-feature is determined by the value range of configuration parameter A. Different AI-functionalities are configured according to different value ranges of configuration parameter A, wherein the value ranges of configuration parameter A for different AI-functionalities do not overlap. For example, when the value range of configuration parameter A is [A1, A2], it corresponds to AI-functionality-1 in the AI-feature; when the value range of configuration parameter A is [A2, A3], it corresponds to AI-functionality-2 in the AI-feature.

[0126] Figure 1c is a schematic diagram illustrating another method for configuring AI functionality according to an embodiment of the present disclosure. As shown in Figure 1c, the AI ​​functionality of the same AI feature is determined by the value ranges of configuration parameters A and B. Different AI functionalities can be determined based on the different value ranges of configuration parameters A and B. For example, when the value range of configuration parameter A is [A1, A2] and the value range of configuration parameter B is [B2, B3], it corresponds to AI-functionality-1 in the AI-feature; when the value range of configuration parameter A is [A2, A3] and the value range of configuration parameter B is [B2, B3], it corresponds to AI-functionality-2 in the AI-feature; when the value range of configuration parameter A is [A1, A2] and the value range of configuration parameter B is [B1, B2], it corresponds to AI-functionality-3 in the AI-feature; when the value range of configuration parameter A is [A2, A3] and the value range of configuration parameter B is [B1, B2], it corresponds to AI-functionality-4 in the AI-feature. In the above embodiment, 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 allocated by the value range of a one-dimensional configuration parameter, for example, the AI-functionality can be determined by the value of configuration parameter A or configuration parameter B. AI-functionality can also be allocated by the value range of multiple-dimensional configuration parameters, for example, the AI-functionality can be determined by the value range of configuration parameter A, configuration parameter B, ..., configuration parameter N, etc.

[0127] For example, using AI-based CSI compression, both the terminal and network equipment are configured with an AI / ML feature to compress CSI measured on the terminal side using AI, and decompress CSI information uploaded by the terminal using AI-based methods on the network equipment side. For this AI-feature, the following four AI-functionalities are defined, generating the following mapping table.

[0128] As shown in the table above, the four AI-functionalities are determined by the frequency domain configuration parameter: CSI-RS (Channel State Information-Reference Signal) frequency and the antenna configuration parameter: CSI-RS port. The value of CSI-RS frequency in the terminal can be {16RBs, 32RBs, 48RBs, 96RBs, 128RBs}, and the value of CSI-RS port can be {16ports, 32ports, 64ports, 128ports}. When the AI-feature is activated in the terminal, the corresponding AI-functionality can be determined according to the values ​​of CSI-RS frequency and CSI-RS port in the above table. For example, when the network device indicates that the frequency domain configuration parameter is 32RBs and the antenna configuration parameter is 64ports, refer to the above table to determine that CSI-RS frequency: 32RBs, CSI-RS port: 64ports corresponds to AI-functionality-2. For example, in this embodiment, the parameter value ranges of the configuration parameters corresponding to each AI-functionality-N are independent of each other and do not overlap.

[0129] In some implementations, the terminal needs to report the supported AI-functionality to the network device. For example, the terminal can also report the configuration parameters supported by the terminal to the network device based on the above table. For example, taking the above table as an example, the terminal reports to the network device that the value range of the supported CSI-RS frequency parameter is {16RBs, 32RBs, 48RBs, 96RBs}, and the value range of the CSI-RS port parameter is {16ports, 32ports, 64ports}. The network device side refers to the above table to determine that the AI-functionality supported in the terminal is AI-functionality-1, AI-functionality-2, and AI-functionality-3. The network device then sends specific frequency domain configuration parameters and antenna configuration parameters to the terminal based on the current communication conditions and the AI-functionality supported by the terminal to call the corresponding AI-functionality-N in the terminal, so that the terminal activates AI-functionality-N based on the frequency domain configuration parameters and antenna configuration parameters.

[0130] In some implementations, the network device side can perform lifecycle management of AI-functionality through configuration parameters. For example, when the AI-feature is activated, the corresponding AI-functionality-1 can be activated based on the value range of the configuration parameter; when the AI-feature is activated and the corresponding configuration parameter is reconfigured, the AI-functionality-1 corresponding to the original configuration parameter value range is disabled, and the AI-functionality-2 corresponding to the new configuration parameter value range is activated; when the AI-feature is activated and the corresponding configuration parameter is reconfigured, if there is no corresponding AI-functionality within the configuration parameter value range according to the above table, the terminal falls back to a non-AI processing mode to process the configuration parameter.

[0131] Through the above method, the mapping relationship between the values ​​of the configuration parameter set and the AI ​​function is configured in the network device and the terminal. The AI ​​function can be configured for the terminal based on the parameter set with different values, thereby realizing the lifecycle management of the AI ​​function in the terminal, avoiding the ambiguity of the configuration parameters, and clarifying the role of the configuration parameters.

[0132] Figure 2 is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in Figure 2, the embodiment of the present disclosure relates to a communication method, which is executed by a terminal and a network device, and the method includes:

[0133] Step S2101: The terminal sends first information to the network device.

[0134] In some embodiments, the first information is used to indicate an AI function supported by the terminal. For example, the terminal is configured with multiple models, and different models correspond to different AI functions. The AI ​​function specified in the terminal is indicated to the network device based on the first information, so that the network device can perform lifecycle management of the AI ​​function in the terminal based on the first information. The lifecycle management action may include activation, deactivation, or switching of the AI ​​function in the terminal.

[0135] In some embodiments, an AI function is associated with a parameter value in a first parameter set, the first parameter set includes one or more configuration parameters, and different AI functions have different value ranges for the configuration parameters in the first parameter set. For example, a mapping relationship between the AI ​​function and the corresponding parameter values ​​in the first parameter set is configured in both the terminal and the network device. The first parameter set may include one or more configuration parameters, and the same AI feature may include one or more AI functions. If multiple AI functions exist under the same AI function, the value ranges of the same type of configuration parameters in the first parameter set corresponding to different AI functions may be different.

[0136] For example, the terminal is configured with AI Feature 1, which includes AI Function 1, AI Function 2, AI Function 3, and AI Function 4. The first parameter set corresponding to each of the multiple AI functions includes configuration parameter A and configuration parameter B. The value range of the corresponding first parameter set is determined by the values ​​of configuration parameter A and configuration parameter B. The value range of the first parameter set corresponding to each AI function is different. Therefore, the AI ​​function corresponding to the terminal can be indicated according to the values ​​of different configuration parameters, thereby forming the following mapping relationship:

[0137] 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 values ​​of configuration parameter A and configuration parameter B together constitute the value range of the first parameter set. Different value ranges corresponding to the first parameter set correspond to different AI functions under the same AI feature. Therefore, the value range of the first parameter set under the same AI feature is different. It should be noted that in this embodiment, the first parameter set can include multiple types of configuration parameters, and the value range of the first parameter set can be determined based on the values ​​of different types of configuration parameters.

[0138] 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. 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 parameter set, and to determine that the AI ​​function is an AI function supported by the terminal.

[0139] Optionally, in some embodiments, the AI ​​function is associated with an AI feature, and the AI ​​feature includes one or more AI functions.

[0140] For example, a terminal is configured with at least one AI feature, each of which includes one or more AI functions. These one or more AI functions are used to implement the corresponding AI feature. Different AI functions under the same AI feature have different value ranges for configuration parameters in a first parameter set. 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.

[0141] Step S2102: The network device receives first information sent by the terminal.

[0142] 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.

[0143] For example, the first information reported by the terminal can be the name information of the AI ​​function supported by the terminal, or the value range information of different configuration parameters in the first parameter set corresponding to the AI ​​function supported by the terminal. The network device determines the AI ​​function that matches the value range information in the mapping relationship based on the mapping relationship between the configured AI function and the configuration parameter value, and determines that it is the AI ​​function supported by the terminal. Among them, the mapping relationship configured in the terminal is the mapping relationship between the AI ​​function supported by the terminal and the corresponding value range in the first parameter set, and the mapping relationship configured in the network device is the mapping relationship between the AI ​​function supported by the network device and the value range in the corresponding parameter set. Generally, the network device can support multiple AI functions, and the multiple AI functions include the AI ​​function supported by the terminal. Therefore, the mapping relationship configured in the network device includes the mapping relationship in the terminal.

[0144] Optionally, in some embodiments, the AI ​​function is associated with an AI feature, and the AI ​​feature includes one or more AI functions.

[0145] For example, a network device 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 network device. Based on the first parameter set, the AI ​​function associated with the first parameter set under the current AI feature can be determined as the AI ​​function supported by the terminal.

[0146] Optionally, in some embodiments, the method further comprises:

[0147] The network device generates second information according to the AI ​​function, where the second information includes a first configuration parameter, where the first configuration parameter is used to instruct the terminal to determine an associated first AI function according to the first configuration parameter;

[0148] The network device sends the second information to the terminal.

[0149] 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 and the value range of one or more configuration parameters in the first parameter set based on the mapping relationship. Then, based on the first parameter set, it generates second information, where the second information includes the first configuration parameter, which is a configuration parameter in the first parameter set, including the configuration parameter type and the configuration parameter value. The second information is sent to the terminal, and the terminal can determine the associated first AI function based on the first configuration parameter in the second information. After the network device determines the AI ​​function supported by the terminal and the first parameter set corresponding to the AI ​​function based on the first information, it selects the configured first AI function from multiple AI functions according to the communication conditions and communication requirements of the current network environment, and determines the first configuration parameter corresponding to the first AI function based on the mapping relationship. The second information is generated based on the first configuration parameter and sent to the terminal.

[0150] Optionally, in some embodiments, the above steps generate the second information according to the AI ​​function, including:

[0151] The network device obtains a mapping relationship between the AI ​​function and the first parameter set;

[0152] The network device determines the first configuration parameter according to the mapping relationship;

[0153] The network device generates second information according to the first configuration parameter.

[0154] For example, in this embodiment, after the network device determines the AI ​​function supported by the terminal, it obtains the mapping relationship between the AI ​​function and the first parameter set, which includes the corresponding relationship between the AI ​​function and the parameter value range of one or more configuration parameters. The network device determines the value range of the first parameter set corresponding to the AI ​​function based on the mapping relationship. Based on the current network communication requirements and network communication conditions, the first configuration parameter for indicating the AI ​​function is determined from the mapping relationship, and the second information is generated based on the first configuration parameter. The first configuration parameter includes the value range of one or more configuration parameters. With reference to the above mapping relationship, the first AI function corresponding to the first configuration parameter can be determined. The network device indicates to the terminal the AI ​​function that currently needs to be activated in the form of indicating the first configuration parameter, thereby realizing the lifecycle management of the AI ​​function in the terminal.

[0155] Optionally, in some embodiments, the above step of obtaining a mapping relationship between the AI ​​function and the first parameter set includes:

[0156] Network device acquisition configuration protocol;

[0157] The network device determines a mapping relationship between the AI ​​function and the first parameter set according to the configuration protocol.

[0158] For example, the mapping relationship in the network device is set in the terminal through a configuration protocol, and the mapping relationship in the terminal can be determined according to the configuration protocol. The content included in the mapping relationship is consistent with that in the above embodiment, and can be referred to the above embodiment, and will not be repeated here.

[0159] Optionally, in some embodiments, the method further comprises:

[0160] The network device receives the third information sent by the terminal;

[0161] The network device activates the first AI function corresponding to the first configuration parameter in the network device according to the third information.

[0162] For example, after the terminal activates the corresponding first AI function according to the first configuration parameter, it sends third information to the network device, indicating that the first AI function in the terminal has been activated. Based on the third information, the first AI function in the network device is also activated. In subsequent communication processes, the terminal and the network device can communicate based on the first AI function.

[0163] Optionally, in some embodiments, the method further comprises:

[0164] 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 configure a configuration parameter in the first parameter set;

[0165] The terminal determines a first configuration parameter and associates it with the AI ​​function;

[0166] The terminal determines a first AI function corresponding to the first configuration parameter.

[0167] For example, the terminal receives the second information sent by the network device, obtains the first configuration parameter in the second information, and when determining that the first configuration parameter is a configuration parameter associated with the AI ​​function, determines the first AI function corresponding to the first configuration parameter based on the above mapping relationship. If the terminal determines that the first configuration parameter is not a configuration parameter associated with the AI ​​function, the terminal processes the first configuration parameter according to a preset parameter processing method.

[0168] Optionally, in some embodiments, determining the first AI function corresponding to the first configuration parameter includes:

[0169] The terminal obtains a mapping relationship between the AI ​​function and the first parameter set;

[0170] The terminal determines, from the mapping relationship, a first AI function that matches the first configuration parameter.

[0171] By way of example, in this embodiment, a mapping relationship between one or more AI functions corresponding to an AI feature configured in a terminal and a first parameter set is obtained, and a first AI function matching the first configuration parameter is determined based on the first configuration parameter in the second information. The first configuration parameter includes one or more configuration parameters and different value ranges for different types of configuration parameters, and the value ranges of the one or more configuration parameters collectively constitute the value range of the first configuration parameter. From the mapping relationship, an AI function matching the configuration parameter type and configuration parameter value range corresponding to the first configuration parameter is determined as the first AI function matching the first configuration parameter.

[0172] Optionally, in some embodiments, the method further comprises:

[0173] The terminal determines that no AI function matching the first configuration parameter exists in the mapping relationship, and processes the first configuration parameter through a non-AI processing flow.

[0174] For example, the associated AI function is determined based on the first configuration parameter in the second information. When no AI function matching the first configuration parameter exists in the mapping relationship corresponding to the terminal, that is, the value range of the configuration parameter in one or more configuration parameters corresponding to each AI function in the mapping relationship is different from the value range of the first configuration parameter, the terminal determines that the first configuration parameter is a non-AI processing configuration parameter and processes the first configuration parameter using the non-AI processing flow.

[0175] Optionally, in some embodiments, the above step of “obtaining a mapping relationship between the AI ​​function and the first parameter set” includes:

[0176] The terminal obtains the configuration protocol;

[0177] The terminal determines the mapping relationship according to the configuration protocol.

[0178] For example, the mapping relationship in the terminal in this embodiment is set in the terminal through a configuration protocol, and the mapping relationship in the terminal can be determined according to the configuration protocol. The content included in the mapping relationship is consistent with that in the above embodiment, and can be referred to the above embodiment, and will not be repeated here.

[0179] Optionally, in some embodiments, the method further comprises:

[0180] The terminal determines that the first AI function is incompatible with the second AI function currently running on the terminal, and disables the second AI function;

[0181] The terminal activates the first AI function.

[0182] For example, when it is determined that the first AI function corresponding to the first configuration parameter does not match the second AI function currently running on the terminal, the second information is used to instruct the terminal to switch the AI ​​function, shut down the currently running second AI function, and activate the first AI function on the terminal.

[0183] Optionally, in some embodiments, the method further comprises:

[0184] The terminal determines that the first AI function in the terminal is activated, and sends third information to the network device, where the third information is used to instruct the network device to activate the first AI function in the network device according to the third information.

[0185] For example, after determining that the first AI function is activated, the terminal feeds back third information to the network device. After receiving the third information, the network device activates the first AI function in the network device. This enables communication between the network device and the terminal based on the first AI function.

[0186] 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.

[0187] In some embodiments, the terms "radio", "wireless", "radio access network (RAN)", "access network (AN)", "RAN-based" and the like may be used interchangeably.

[0188] In some embodiments, terms such as "synchronization signal (SS)", "synchronization signal block (SSB)", "reference signal (RS)", "pilot", and "pilot signal" can be used interchangeably.

[0189] 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.

[0190] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0191] 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.

[0192] 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.

[0193] 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.

[0194] Through the above method, the mapping relationship between the parameter values ​​of the parameter set and the AI ​​function is configured in both the network equipment and the terminal, and the correspondence between the configuration parameters and the lifecycle management of the AI ​​function is clarified, so that the lifecycle management of the AI ​​function based on the parameter set can be realized.

[0195] FIG3 is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG3 , the communication method involved in the embodiment of the present disclosure is executed by a terminal, and the method includes:

[0196] Step S3101: Send first information to the network device.

[0197] In some embodiments, the first information is used to indicate an AI function supported by the terminal. For example, the terminal is configured with multiple models, and different models correspond to different AI functions. The AI ​​function specified in the terminal is indicated to the network device based on the first information, so that the network device can perform lifecycle management of the AI ​​function in the terminal based on the first information. The lifecycle management action may include activation, deactivation, or switching of the AI ​​function in the terminal.

[0198] In some embodiments, an AI function is associated with a parameter value in a first parameter set, the first parameter set includes one or more configuration parameters, and different AI functions have different value ranges for the configuration parameters in the first parameter set. For example, a mapping relationship between the AI ​​function and the corresponding parameter values ​​in the first parameter set is configured in both the terminal and the network device. The first parameter set may include one or more configuration parameters, and the same AI feature may include one or more AI functions. If multiple AI functions exist under the same AI function, the value ranges of the same type of configuration parameters in the first parameter set corresponding to different AI functions may be different.

[0199] 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.

[0200] In some embodiments, the AI ​​functionality is associated with an AI feature, which includes one or more AI functions.

[0201] In some embodiments, the method further comprises:

[0202] 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;

[0203] Determine a first configuration parameter and associate it with an AI function;

[0204] Determine a first AI function corresponding to the first configuration parameter.

[0205] In some embodiments, determining the first AI function corresponding to the first configuration parameter includes:

[0206] Obtaining a mapping relationship between the AI ​​function and the first parameter set;

[0207] A first AI function matching the first configuration parameter is determined from the mapping relationship.

[0208] In some embodiments, the method further comprises:

[0209] It is determined that no AI function matching the first configuration parameter exists in the mapping relationship, and the first configuration parameter is processed through a non-AI processing flow.

[0210] In some embodiments, obtaining a mapping relationship between the AI ​​function and the first parameter set includes:

[0211] Get the configuration protocol;

[0212] Determine the mapping relationship based on the configuration protocol.

[0213] In some embodiments, the method further comprises:

[0214] Determining that the first AI function is incompatible with a second AI function currently running on the terminal, and disabling the second AI function;

[0215] Activate the first AI function.

[0216] In some embodiments, the method further comprises:

[0217] It is determined that the first AI function in the terminal is activated, and third information is sent to the network device, where the third information is used to instruct the network device to activate the first AI function of the network device according to the third information.

[0218] 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 one or more configuration parameters. Different AI functions in the AI ​​feature have different value ranges for the configuration parameters in the first parameter set. 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.

[0219] 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:

[0220] Step S4101: receiving the first information sent by the terminal.

[0221] 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.

[0222] In some embodiments, the first information reported by the terminal may be the name information of the AI ​​function supported by the terminal, or the value range information of different configuration parameters in the first parameter set corresponding to the AI ​​function supported by the terminal. The network device determines the AI ​​function that matches the value range information in the mapping relationship based on the mapping relationship between the configured AI function and the configuration parameter value, and determines that it is the AI ​​function supported by the terminal. Among them, the mapping relationship configured in the terminal is the mapping relationship between the AI ​​function supported by the terminal and the corresponding value range in the first parameter set, and the mapping relationship configured in the network device is the mapping relationship between the AI ​​function supported by the network device and the value range in the corresponding parameter set. Generally, the network device can support multiple AI functions, and the multiple AI functions include the AI ​​function supported by the terminal. Therefore, the mapping relationship configured in the network device includes the mapping relationship in the terminal.

[0223] In some embodiments, the AI ​​functionality is associated with an AI feature, which includes one or more AI functions.

[0224] In some embodiments, the method further comprises:

[0225] Generate second information according to the AI ​​function, 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;

[0226] Sending the second information to the terminal.

[0227] In some embodiments, the above steps generate the second information based on the AI ​​function, including:

[0228] Obtaining a mapping relationship between the AI ​​function and the first parameter set;

[0229] Determining a first configuration parameter according to the mapping relationship;

[0230] Second information is generated according to the first configuration parameter.

[0231] In some embodiments, the above steps of obtaining the mapping relationship between the AI ​​function and the first parameter set include:

[0232] Get the configuration protocol;

[0233] According to the configuration protocol, a mapping relationship between the AI ​​function and the first parameter set is determined.

[0234] In some embodiments, the method further comprises:

[0235] receiving third information sent by the terminal;

[0236] According to the third information, a first AI function corresponding to the first configuration parameter in the network device is activated.

[0237] 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.

[0238] In the above manner, first information sent by a terminal is received. 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 one or more configuration parameters. Different AI functions in the AI ​​feature have different value ranges for the configuration parameters in the first parameter set. This allows the mapping between the values ​​of the parameter set and the AI ​​functions to be configured in the network device, avoiding the problem of disrupted AI function lifecycle management caused by ambiguous parameter configuration.

[0239] FIG5 is a schematic diagram 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, and the method includes:

[0240] In step S5101, the terminal reports the AI ​​functionality supported by the terminal to the network device.

[0241] 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.

[0242] Step S5102: The network device sends configuration parameters to the terminal.

[0243] For example, after the network device determines the AI-functionality supported by the terminal, based on the current network environment and communication requirements, it selects the currently required target AI-functionality from the AI-functionality supported by the terminal, and refers to the above-mentioned mapping table to obtain the configuration parameters corresponding to the target AI-functionality and the value range of the configuration parameters, and sends the configuration parameters to the terminal to instruct the terminal to activate the corresponding target AI-functionality according to the configuration parameters.

[0244] Step S5103: The terminal activates the target AI-functionality according to the configuration parameters.

[0245] For example, the terminal determines the target AI-functionality corresponding to the value range of the current configuration parameter according to the configuration parameter and the value range of the configuration parameter, and activates the target AI-functionality by referring to the above mapping table.

[0246] In some embodiments, taking the above-mentioned AI-based CSI compression as an example, when AI-based CSI is activated, the network device configures the terminal with a CSI-RS frequency of 32 RBs and a CSI-RS port of 16 ports. The terminal determines, based on the value range of the configuration parameters, that CSI-RS frequency: 32 RBs, CSI-RS port: 16 ports corresponds to AI-functionality-1 with reference to the above-mentioned mapping table, and then activates AI-functionality-1 in the terminal. When AI-based CSI compression is activated, the network device configures the terminal with a CSI-RS frequency of 32 RBs and a CSI-RS port of 16 ports, and switches the CSI-RS port from 16 ports to 64 ports, then the AI-functionality currently used in the terminal is switched from AI-functionality-1 to AI-functionality-2. When AI-based CSI compression is activated, the network device configures the terminal with CSI-RS frequency: 32 RBs, and CSI-RS port: switching from 16 ports to 256 ports. Referring to the above mapping table, there is no AI-functionality-N corresponding to the configuration parameters CSI-RS frequency: 32 RBs, CSI-RS port: 256 ports. In this case, non-AI processing is used to process this configuration parameter.

[0247] In some embodiments, a network device receives first information, where the first information is used to indicate AI-functionality supported by a terminal, where the AI-functionality is determined by values ​​of one or more configuration parameters. For example, the AI-functionality supported by the terminal, as well as the configuration parameters and configuration parameter value ranges associated with the AI-functionality, can be determined with reference to the above-mentioned mapping table.

[0248] Optionally, in some embodiments, one AI-feature in a network device may include multiple AI-functionalities, and different AI-functionalities under the same AI-feature may have different corresponding configuration parameters and / or value ranges of configuration parameters, that is, there is no overlap in the value ranges of the configuration parameters corresponding to each AI-functionality.

[0249] Optionally, in some embodiments, the network device sends second information to the terminal, where the second information is used to configure a first parameter set, where the first parameter includes one or more configuration parameter types and one or more configuration parameter value ranges. The first parameter set is associated with AI functionality, and the terminal can refer to the mapping table based on the first parameter set to determine the target AI functionality indicated by the network device.

[0250] Optionally, in some embodiments, after the network device determines that the AI-feature in the terminal is activated, it determines the AI-functionality supported by the terminal based on the first information, determines a parameter set of configuration parameters corresponding to the supported AI-functionality with reference to the above-mentioned mapping table, and determines the target parameters corresponding to the target AI-functionality to be called from the parameter set based on the parameter set and the communication requirements of the current network environment.

[0251] Optionally, in some embodiments, after determining that an AI feature in a terminal is activated, the network device sends second information to the terminal based on the AI ​​functionality supported by the terminal, instructing the terminal to activate a target AI functionality corresponding to the second information. After determining that the terminal has completed activation of the target AI functionality, the network device initiates a network operation corresponding to the activation of the target AI functionality.

[0252] Optionally, in some embodiments, when the terminal determines, based on the first parameter set in the second information and referring to the above-mentioned mapping relationship, that the target AI-functionality corresponding to the first parameter set is different from the AI-functionality currently running on the terminal, the terminal shuts down the AI-functionality currently in use based on the first parameter set.

[0253] Optionally, in some embodiments, when the terminal determines that the terminal does not support the AI-functionality corresponding to the first parameter set based on the first parameter set sent by the network device and refers to the above-mentioned mapping table, the terminal determines that the terminal uses a non-AI processing method, that is, uses a preset processing method to process the first parameter set.

[0254] Through the above method, a method for determining AI functions and a method for lifecycle management of corresponding AI functions are proposed. The corresponding AI functions are determined based on configuration parameters, which avoids the problem of AI function disorder caused by configuration parameters and clarifies the relationship between configuration parameters and lifecycle management of AI functions.

[0255] 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.

[0256] 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.

[0257] 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.

[0258] 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. The AI ​​function is associated with a parameter value in a first parameter set. The first parameter set includes one or more configuration parameters. Different AI functions correspond to different value ranges of the configuration parameters in the first parameter set. 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.

[0259] 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.

[0260] 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.

[0261] 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 different AI functions correspond to different value ranges of the configuration parameters in the first parameter set. 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.

[0262] 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.

[0263] 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.

[0264] 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.

[0265] 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.

[0266] 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.

[0267] 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 FIG8 . 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 and 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.

[0268] 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.

[0269] 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.

[0270] 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.

[0271] 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 the 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 different AI functions corresponding to different value ranges of the configuration parameters in the first parameter set.

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

3. The method according to claim 1, wherein The method further includes: Receiving second information sent by the network device, the second information including a first configuration parameter, the first configuration parameter being used to indicate the configuration parameters and the value ranges of the configuration parameters in the first parameter set; Determining the first configuration parameter and associating the AI functions; Determining a first AI function corresponding to the first configuration parameter.

4. The method according to claim 2, wherein The determining the first AI function corresponding to the first configuration parameter includes: Obtaining a mapping relationship between the AI functions and the first parameter set; Determining, from the mapping relationship, the first AI function that matches the first configuration parameter.

5. The method according to claim 3, characterized in that, The method further includes: Determining that there is no AI function in the mapping relationship that matches the first configuration parameter, and processing the first configuration parameter through a non-AI processing process.

6. The method according to claim 4, wherein 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.

7. The method according to any one of claims 3-6, characterized in that, The method further includes: Determining that the first AI function does not match a second AI function currently running on the terminal, and closing the second AI function; Activating the first AI function.

8. The method according to claim 7, characterized in that, The method further includes: Determining that the first AI function in the terminal is activated, and sending third information to the network device, the third information being used to indicate the network device to activate the first AI function in the network device.

9. 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 the 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 different AI functions corresponding to different value ranges of the configuration parameters in the first parameter set.

10. The method according to claim 9, characterized in that, The AI functions are associated with AI features, and the AI features include one or more AI functions.

11. The method according to claim 9, wherein The method further includes: Generating second information according to the AI functions, the second information including a first configuration parameter, the first configuration parameter being used to indicate the configuration parameters and the value ranges of the configuration parameters in the first parameter set; Sending the second information to the terminal.

12. The method according to claim 11, wherein The generating the second information according to the AI functions includes: Obtaining a mapping relationship between the AI functions 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.

13. The method according to claim 12, wherein The obtaining the mapping relationship between the AI functions corresponding to the first parameter set includes: Obtaining a configuration protocol; Determining the mapping relationship between the AI functions corresponding to the first parameter set according to the configuration protocol.

14. The method according to any one of claims 11-13, characterized in that, The method further includes: Receiving third information sent by the terminal; Activate the first AI function corresponding to the first configuration parameter in the network device according to the third information.

15. A terminal, characterized in that, Comprising: A transceiver module configured to send first information to a network device, the first information being used to indicate the 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 different AI functions corresponding to different value ranges of the configuration parameters in the first parameter set.

16. A network device, characterized in that, Comprising: A transceiver module configured to receive first information sent by a terminal, the first information being used to indicate the 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 different AI functions corresponding to different value ranges of the configuration parameters in the first parameter set.

17. A terminal, characterized in that, Comprising: One or more processors; A memory coupled to the one or more processors, the memory including executable instructions that, when executed by the one or more processors, cause the terminal to perform the communication method according to any one of claims 1-8.

18. A network device, characterized in that, Comprising: One or more processors; A memory coupled to the one or more processors, the memory including executable instructions that, when executed by the one or more processors, cause the first device to perform the communication method according to any one of claims 9-14.

19. A communication system, characterized in that, Comprising a terminal and a network device, wherein the terminal is configured to implement the communication method according to any one of claims 1-8, and the network device is configured to implement the communication method according to any one of claims 9-14.

20. A storage medium, the storage medium stores instructions, characterized in that, When the instruction runs on the communication device, the communication device is caused to perform the communication method according to any one of claims 1-8 or claims 9-14.

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