Communication methods and apparatus, communication device and communication system

Abstract

The present disclosure relates to communication methods and apparatus, a communication device and a communication system, relating to the technical field of communications, and used for determining whether an AI function passes a test or whether the performance of the AI function satisfies a performance index, and improving communication efficiency. A method comprises: receiving first information, the first information being used for determining whether a first AI function passes a test or used for determining whether the performance of the first AI function satisfies a performance index, and the first AI function being one or more AI functions amongst AI functions supported by a terminal; and on the basis of the first information, determining whether the first AI function passes the test or determining whether the performance of the first AI function satisfies the performance index.

Description

Communication method and device, communication equipment, and communication system Technical Field

[0001] The present disclosure relates to the field of communication technologies, and in particular to communication methods and devices, communication equipment, and communication systems. Background Art

[0002] Artificial Intelligence (AI) technology has achieved continuous breakthroughs in multiple fields. By applying AI technology to wireless air interfaces for communication processing, including AI model training and model reasoning applications, it can assist in improving wireless air interface transmission technology.

[0003] Summary of the Invention

[0004] Some AI functions supported by the terminal have not been tested. How does the network device determine the test status of the AI ​​functions supported by the terminal?

[0005] The embodiments of the present disclosure provide a communication method and apparatus, a communication device, and a communication system.

[0006] According to a first aspect of an embodiment of the present disclosure, a communication method is provided, the method comprising: receiving first information, the first information being used to determine whether a first AI function passes a test or whether performance of the first AI function meets a performance indicator, the first AI function being one or more AI functions supported by a terminal; and determining, based on the first information, whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator.

[0007] According to a second aspect of an embodiment of the present disclosure, a communication method is provided, the method including: sending first information, where the first information is used to determine whether a first AI function passes a test or whether performance of the first AI function meets a performance indicator, where the first AI function is one or more AI functions supported by a terminal.

[0008] According to a third aspect of an embodiment of the present disclosure, a communication method is provided, comprising: a terminal sending first information to a network device; the first information being used to determine whether a first AI function passes a test or whether performance of the first AI function meets a performance indicator, where the first AI function is one or more AI functions supported by the terminal; and the network device determining, based on the first information, whether the first AI function passes the test or whether performance of the first AI function meets the performance indicator.

[0009] According to a fourth aspect of an embodiment of the present disclosure, a network device is provided, comprising: a transceiver module configured to receive first information; the first information being used to determine whether a first AI function passes a test or whether performance of the first AI function meets a performance indicator, where the first AI function is one or more AI functions supported by a terminal; and a processing module configured to determine, by the network device, whether the first AI function passes the test or whether performance of the first AI function meets the performance indicator based on the first information.

[0010] According to a fifth aspect of an embodiment of the present disclosure, a terminal is provided, the device including: a transceiver module, configured to send first information, where the first information is used to determine whether a first AI function passes a test or whether performance of the first AI function meets a performance indicator, where the first AI function is one or more AI functions supported by the terminal.

[0011] According to a sixth aspect of an embodiment of the present disclosure, a network device is provided, comprising: one or more processors; wherein the processor is used to call instructions so that the network device executes the communication method described in the first aspect.

[0012] According to a seventh aspect of an embodiment of the present disclosure, a terminal is provided, comprising: one or more processors; wherein the processor is used to call instructions so that the terminal executes the communication method described in the second aspect.

[0013] According to an eighth aspect of an embodiment of the present disclosure, a communication system is provided, comprising a terminal and a network device, wherein the terminal is configured to implement the communication method described in any one of the second aspects, and the network device is configured to implement the communication method described in the first aspect.

[0014] According to a ninth aspect of an embodiment of the present disclosure, a storage medium is provided, wherein the storage medium stores instructions, and wherein when the instructions are executed on a communication device, the communication device executes the communication method described in the first and second aspects.

[0015] Through the solution provided by the embodiments of the present disclosure, the network device can determine whether the AI ​​function supported by the terminal has passed the test or whether the performance of the AI ​​function meets the performance indicators, thereby improving communication efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] 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.

[0017] FIG1 is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0018] FIG2 is a schematic diagram showing interaction of a communication method according to an embodiment of the present disclosure.

[0019] FIG3 a is a flow chart showing a communication method according to an embodiment of the present disclosure.

[0020] FIG3 b is a flow chart of a communication method according to an embodiment of the present disclosure.

[0021] FIG4 a is a flow chart of a communication method according to an embodiment of the present disclosure.

[0022] FIG4 b is a flow chart of a communication method according to an embodiment of the present disclosure.

[0023] FIG5 is a flow chart showing a communication method according to an embodiment of the present disclosure.

[0024] FIG6A is a schematic diagram of a terminal according to an embodiment of the present disclosure.

[0025] FIG6B is a schematic diagram of a network device according to an embodiment of the present disclosure.

[0026] Fig. 7A is a schematic diagram showing a communication device according to an exemplary embodiment.

[0027] FIG7B is a schematic diagram showing a chip structure according to an exemplary embodiment. DETAILED DESCRIPTION

[0028] The embodiments of the present disclosure provide a communication method and apparatus, a communication device, and a communication system.

[0029] In a first aspect, an embodiment of the present disclosure proposes a communication method, which includes: receiving first information, where the first information is used to determine a test status of an AI function, where the test status is used to indicate whether the AI ​​function has passed the test or whether the performance of the AI ​​function meets performance indicators, where the AI ​​function is one or more AI functions supported by the terminal; and determining the test status of the AI ​​function based on the first information.

[0030] In the above embodiment, the network device determines whether the first AI function passes the test or whether the performance of the first AI function meets the performance index by receiving the first information, and can then accurately know whether the first AI function supported by the terminal passes the test or whether the performance meets the performance index, thereby avoiding the use of AI functions that fail the AI ​​test or whose performance does not meet the performance index, thereby improving communication efficiency.

[0031] In combination with some embodiments of the first aspect, in some embodiments, the first information is used to indicate at least one of the following: the first AI function passes the test; the performance of the first AI function meets the performance indicator; the first AI function fails the test; the performance of the first AI function does not meet the performance indicator.

[0032] In the above embodiment, the first information directly indicates the test status of the AI ​​function. The network device can directly determine the test status of the AI ​​function based on the first information, which saves time and improves communication efficiency.

[0033] In combination with some embodiments of the first aspect, in some embodiments, determining whether the first AI function passes the test or determining whether the performance of the first AI function meets the performance indicator based on the first information includes at least one of the following: determining that the first AI function passes the test or the performance of the first AI function meets the performance indicator if the value obtained based on the first information is consistent with the first value; and determining that the first AI function fails the test or the performance of the first AI function does not meet the performance indicator if the value obtained based on the first information is inconsistent with the first value.

[0034] In the above embodiment, by determining whether the value obtained from the first information is consistent with the first value, it is determined that the first AI function has passed the test or the performance of the first AI function meets the performance indicator, thereby ensuring accuracy and preventing the terminal from reporting an AI function that has failed the test as a passed AI function.

[0035] In combination with some embodiments of the first aspect, in some embodiments, the first information includes one or more bits.

[0036] In combination with some embodiments of the first aspect, in some embodiments, the first information is allocated to the terminal by a first network device or a third-party platform; the first network device is different from the second network device, and the second network device is the network device of the service cell to which the terminal currently belongs.

[0037] In the above embodiment, the first network device or the third-party platform allocates the first information to the terminal, so that the first information can determine whether the first AI function has passed the test, so that the terminal sends the first information to the network device, and the network device can determine the test status of the AI ​​function based on the first information, thereby improving communication efficiency.

[0038] In combination with some embodiments of the first aspect, in some embodiments, the first information includes at least one of the following: terminal identification information; terminal provider information; version information of the first AI model.

[0039] In the above embodiment, the network device can obtain relevant information of the terminal based on the first information, so that the network device can perform better scheduling based on the first information and improve communication efficiency.

[0040] In combination with some embodiments of the first aspect, in some embodiments, determining whether the first AI function passes the test or determining whether the performance of the first AI function meets the performance indicators based on the first information includes at least one of the following: the fourth information includes the first information, and it is determined that the first AI function passes the test or the performance of the first AI function meets the performance indicators; the fourth information does not include the first information, and it is determined that the first AI function fails the test or the performance of the first AI function does not meet the performance indicators; the fourth information includes at least one of the following: one or more terminal identification information; one or more terminal provider information; one or more AI model version information.

[0041] In the above embodiment, by determining whether the fourth information includes the first information, it is determined whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator, thereby improving communication efficiency.

[0042] In combination with some embodiments of the first aspect, in some embodiments, the fourth information is provided to the second network device by a third-party platform, a first network device, or a provider of the first AI function; the second network device is a network device of the service cell to which the terminal currently belongs; and the first network device is different from the second network device.

[0043] In combination with some embodiments of the first aspect, in some embodiments, the first information also includes at least one of the following: the AI ​​feature to which the first AI function belongs; the test method of the first AI function; the test scenario of the first AI function; the testing organization that tests the first AI function; the provider of the first AI function; and the performance range of the first AI function.

[0044] In the above embodiment, the network device can determine the relevant information of the first AI function based on the first information, so that the network device can manage the AI ​​function based on the first information.

[0045] In combination with some embodiments of the first aspect, in some embodiments, the method further includes: receiving fifth information; the fifth information is used to indicate at least one of the following: the first AI function; parameter information of the first AI function.

[0046] In the above embodiment, the network device receives the fifth information to obtain the AI ​​function supported by the terminal and the corresponding parameter information, so that the network device can configure the AI ​​function for the terminal.

[0047] In a second aspect, an embodiment of the present disclosure proposes a communication method, comprising: sending first information, where the first information is used to determine whether a first AI function passes a test or whether the performance of the first AI function meets a performance indicator, where the first AI function is one or more AI functions supported by the terminal.

[0048] In combination with some embodiments of the second aspect, in some embodiments, the first information is used to indicate at least one of the following: the first AI function passes the test; the performance of the first AI function meets the performance indicator; the first AI function fails the test; the performance of the first AI function does not meet the performance indicator.

[0049] In some embodiments, whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator includes at least one of the following: if a value obtained based on the first information is consistent with the first value, the first AI function passes the test or the performance of the first AI function meets the performance indicator; if the value obtained based on the first information is inconsistent with the first value, the first AI function fails the test or the performance of the first AI function does not meet the performance indicator.

[0050] In some embodiments, the first information comprises one or more bits.

[0051] In some embodiments, the first information is allocated to the terminal by a first network device or a third-party platform; the first network device is different from a second network device, and the second network device is a network device of a serving cell to which the terminal currently belongs.

[0052] In some embodiments, the first information includes at least one of the following: terminal identification information; terminal provider information; version information of the first AI model.

[0053] In some embodiments, determining whether the first AI function passes the test or determining whether the performance of the first AI function meets the performance indicator includes at least one of the following: the second information includes the first information, the first AI function passes the test or the performance of the first AI function meets the performance indicator; the second information does not include the first information, the first AI function fails the test or the performance of the first AI function does not meet the performance indicator; the fourth information includes at least one of the following: one or more terminal identification information; one or more terminal provider information; one or more AI model version information.

[0054] In some embodiments, the fourth information is provided to the second network device by a third-party platform, a first network device, or a provider of the first AI function; the second network device is a network device of the serving cell to which the terminal currently belongs; and the first network device is different from the second network device.

[0055] In some embodiments, the first information further includes at least one of the following: an AI feature to which the first AI function belongs; a test method for the first AI function; a test scenario for the first AI function; a testing organization that tests the first AI function; a provider of the first AI function; and a performance range of the first AI function.

[0056] In some embodiments, the method further includes: sending fifth information; the fifth information is used to indicate at least one of the following: the first AI function; parameter information of the first AI function.

[0057] In a third aspect, an embodiment of the present disclosure provides a communication method, comprising: a terminal sending first information to a network device; the first information is used to determine whether a first AI function passes a test or is used to determine whether the performance of the first AI function meets a performance indicator, where the first AI function is one or more AI functions supported by the terminal; the network device determines, based on the first information, whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator.

[0058] In a fourth aspect, an embodiment of the present disclosure provides a network device, comprising: a transceiver module for receiving first information; the first information is used to determine whether a first AI function passes a test or whether the performance of the first AI function meets a performance indicator, where the first AI function is one or more AI functions supported by a terminal; and a processing module for the network device to determine, based on the first information, whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator.

[0059] In a fifth aspect, an embodiment of the present disclosure proposes a terminal, which includes: a transceiver module for sending first information, where the first information is used to determine whether a first AI function passes a test or whether the performance of the first AI function meets a performance indicator, where the first AI function is one or more AI functions supported by the terminal.

[0060] In a sixth aspect, an embodiment of the present disclosure proposes a network device, which includes: one or more processors; wherein the network device is used to execute optional implementation methods such as the first aspect and the third aspect.

[0061] In a seventh aspect, an embodiment of the present disclosure proposes a terminal, which includes: one or more processors; wherein the terminal application executes optional implementation methods such as the second aspect and the third aspect.

[0062] In the eighth aspect, an embodiment of the present disclosure proposes a communication system, which includes: a network device and a terminal; wherein the network device is configured to execute the method described in the optional implementation of the first and third aspects, and the terminal is configured to execute the method described in the optional implementation of the second and third aspects.

[0063] In the ninth aspect, an embodiment of the present disclosure proposes a storage medium, which stores instructions. When the instructions are executed on a communication device, the communication device executes the method described in the optional implementation of the first and third aspects, and the second and third aspects.

[0064] In a tenth aspect, an embodiment of the present disclosure proposes a program product. When the program product is executed by a communication device, the communication device executes the method described in the optional implementation of the first and third aspects, and the second and third aspects.

[0065] In an eleventh aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the method as described in the first and third aspects, and the optional implementation of the second and third aspects.

[0066] It is understandable that the above-mentioned terminals, network devices, communication devices, communication systems, storage media, program products, 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 of the corresponding methods and will not be repeated here.

[0067] In some embodiments, the terms communication method and information processing method are interchangeable, the terms communication device and information processing device are interchangeable, and the terms information processing system and communication system are interchangeable.

[0068] 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.

[0069] 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.

[0070] 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.

[0071] 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.

[0072] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0073] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0074] 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.

[0075] 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.

[0076] 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.

[0077] 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.

[0078] 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.

[0079] 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.

[0080] 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.

[0081] In some embodiments, "network" can be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

[0082] 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.

[0083] 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.

[0084] 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.

[0085] 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.

[0086] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0087] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0088] 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.

[0089] FIG1 is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0090] As shown in FIG1 , a communication system 100 includes a terminal 101 and a network device 102 .

[0091] 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.

[0092] In some embodiments, the network device 102 may include at least one of an access network device and a core network device.

[0093] 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 101 device, an augmented reality (AR) terminal 101 device, a wireless terminal 101 device in industrial control, a wireless terminal 101 device in self-driving, a wireless terminal 101 device in remote medical surgery, a wireless terminal 101 device in a smart grid, a wireless terminal 101 device in transportation safety, a wireless terminal 101 device in a smart city, and at least one of a wireless terminal 101 device in a smart home, but is not limited thereto.

[0094] In some embodiments, the access network device is, for example, a node or device that accesses the terminal 101 to the 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 wireless fidelity (WiFi) system, but is not limited thereto.

[0095] 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.

[0096] 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.

[0097] In some embodiments, the core network device may be a device including one or more network elements, or may be multiple devices or a group of devices including one or more network elements, or may be 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).

[0098] 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.

[0099] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1 , or a portion thereof, but are not limited thereto. The entities shown in FIG1 are illustrative only. The communication system may include all or part of the entities shown in FIG1 , or may include other entities outside of FIG1 . The number and form of the entities are arbitrary, and the entities may be physical or virtual. The connection relationships between the entities are illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0100] 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).

[0101] In recent years, artificial intelligence (AI) technology has achieved continuous breakthroughs in numerous fields. The continued development of fields such as intelligent voice and computer vision has not only brought a rich variety of applications to smart terminals, but has also found widespread application in education, transportation, home living, healthcare, retail, security, and other fields. This has brought convenience to people's lives while also promoting industrial upgrading across various industries. AI technology is also rapidly interpenetrating with other disciplines, integrating knowledge from different disciplines while also providing new directions and methods for their development.

[0102] In an embodiment of the present disclosure, a research project on AI technology in the radio air interface is established in the Radio Access Network (RAN) to introduce artificial intelligence technology in the radio air interface and assist in improving the transmission technology of the radio air interface. In addition, the application of AI technology in the radio air interface for communication processing is currently supported, including the training of AI models and the application of model reasoning. For example, AI-based channel state information (CSI) enhancement, AI-based beamforming enhancement, and AI-based positioning are used.

[0103] In some embodiments, multiple AI functionalities are defined, such as AI-based time-domain prediction, AI-based positioning, etc.

[0104] In the embodiment of the present disclosure, before a terminal accesses a network device, it is necessary to test the AI ​​function, for example, to test whether the nominal performance of the AI ​​function meets the performance index.

[0105] Optionally, after the performance of the AI ​​function meets the performance indicator, the terminal can report the AI ​​function it supports or the function parameters associated with the AI ​​function to the network device when accessing the network device.

[0106] However, because AI functions rely on AI models, which can be downloaded from network devices to terminals for local testing, the AI ​​models supported by terminals may be updated. This means that untested AI functions can be downloaded and used wirelessly after the terminal is connected to the network device. Therefore, how the network device determines whether the AI ​​functions supported by the terminal have passed the test is a problem that needs to be solved.

[0107] Based on this, embodiments of the present disclosure provide a communication method in which a network device determines the test status of an AI function supported by a terminal by receiving first information. The network device can thereby determine whether the AI ​​function has passed the test or whether the performance of the AI ​​function meets performance indicators, and then schedule services based on the test status of the AI ​​function, thereby preventing the use of AI functions that have failed the AI ​​test or whose performance does not meet performance indicators, thereby improving communication efficiency.

[0108] FIG2 is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG2 , the embodiment of the present disclosure relates to a communication method for use in a communication system 100, the method comprising:

[0109] Step S2101 , the terminal 101 sends fifth information to the network device 102 .

[0110] In some embodiments, network device 102 receives fifth information.

[0111] In some embodiments, the network device 102 is a network device of a serving cell to which the terminal currently belongs.

[0112] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0113] 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.

[0114] In some embodiments, the fifth information is used to indicate the first AI function.

[0115] Optionally, the first AI function is one or more AI functions supported by the terminal.

[0116] Optionally, the first AI function is one or more AI functions deployed on the terminal.

[0117] For example, the first AI function may be one or more of a CSI compression function, an AI-based beam prediction function, an AI-based positioning function, and the like.

[0118] In some embodiments, the fifth information is used to indicate parameter information of the first AI function.

[0119] Optionally, the parameter information is used to indicate parameters that need to be used when the AI ​​function is actually used.

[0120] Optionally, the parameter information is used to indicate the performance of the AI ​​function.

[0121] Optionally, parameter information of different AI functions is different.

[0122] For example, if the AI ​​function is an AI-based beam prediction function, the parameter information includes that the number of beams in the actual measurement subset is 16 and the number of beams in the predicted full set is 64. For another example, if the AI ​​function is an AI-based positioning function, the parameter information includes positioning angle, positioning distance, etc.

[0123] Optionally, parameter information can also be called "function information", "performance information", etc.

[0124] In some embodiments, the fifth information is used to indicate the first AI function and parameter information of the first AI function.

[0125] In some embodiments, the name of the fifth information is not limited, and it can be, for example, "function information" or "status information".

[0126] 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", etc. can be used interchangeably.

[0127] 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.

[0128] Step S2102 , the terminal 101 sends first information to the network device 102 .

[0129] In some embodiments, network device 102 receives first information.

[0130] In some embodiments, the first information is used to determine whether the first AI function passes the test.

[0131] Optionally, the first information is used to determine whether the first AI function passes the test.

[0132] Optionally, the first information is used to determine that the first AI function fails the test.

[0133] In some embodiments, the first information is used to determine whether the performance of the first AI function meets the performance indicator.

[0134] Optionally, the first information is used to determine whether the performance of the first AI function meets the performance indicator.

[0135] Optionally, the first information is used to determine that the performance of the first AI function does not meet a performance indicator.

[0136] In some embodiments, the first information is used to determine whether the first AI function passes the test and whether the performance of the first AI function meets the performance indicator.

[0137] Optionally, the first information is used to determine whether the first AI function passes the test and the performance of the first AI function meets the performance indicator.

[0138] Optionally, the first information is used to determine whether the first AI function passes the test and whether the performance of the first AI function does not meet the performance indicator.

[0139] Optionally, the first information is used to determine that the first AI function fails the test and the performance of the first AI function does not meet the performance indicator.

[0140] Optionally, the first information is used to determine whether the first AI function fails the test and whether the performance of the first AI function meets the performance indicator.

[0141] In some embodiments, the name of the first information is not limited, and it can be, for example, "test information", "test status", "test situation", etc.

[0142] In some embodiments, the first information is a single bit. Alternatively, the first information may be a single character, a single indicator, a single code point, etc., which is not limited in the embodiments of the present disclosure.

[0143] Optionally, the first information directly indicates whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator.

[0144] For example, the first information indicates whether the first AI function passes the test using 1 bit. Optionally, when the first information is 0, it indicates that the first AI function passes the test; when the first information is 1, it indicates that the first AI function fails the test.

[0145] In some embodiments, the first information is used to indicate at least one of the following:

[0146] The first AI function passed the test;

[0147] The performance of the first AI function meets the performance indicators;

[0148] The first AI function failed the test;

[0149] The performance of the first AI function does not meet the performance indicators.

[0150] Optionally, the first information is used to indicate that the first AI function passes the test.

[0151] Optionally, the first information is used to indicate that the performance of the first AI function meets the performance indicator.

[0152] Optionally, the first information is used to indicate that the first AI function fails the test.

[0153] Optionally, the first information is used to indicate that the performance of the first AI function does not meet a performance indicator.

[0154] Optionally, the first information is used to indicate that the first AI function passes the test and the performance of the first AI function meets the performance indicator.

[0155] Optionally, the first information is used to indicate that the first AI function passes the test and the performance of the first AI function does not meet the performance indicator.

[0156] Optionally, the first information is used to indicate that the first AI function failed the test and the performance of the first AI function did not meet the performance indicator.

[0157] Optionally, the first information is used to indicate that the first AI function failed the test and that the performance of the first AI function meets the performance indicator.

[0158] In some embodiments, the first information is a plurality of bits. Alternatively, the first information may be a plurality of characters, a plurality of indicators, a plurality of code points, etc., which is not limited in the embodiments of the present disclosure.

[0159] In some embodiments, the first information is allocated to the terminal by a first network device or a third-party platform.

[0160] Optionally, the first information is allocated by a first network device. Optionally, the first network device is different from a second network device, and the second network device is a network device of a serving cell to which the terminal currently belongs.

[0161] For example, at a first moment, the network device of the serving cell to which the terminal belongs is a first network device, and the first network device tests the first AI function. When the terminal moves, at a second moment, the network device of the serving cell to which the terminal belongs is a second network device. The first network device then distributes the first information to the terminal, which is then transmitted to the second network device.

[0162] Optionally, the first information is allocated to the terminal by a third-party platform.

[0163] For example, if the first AI function is tested by a third-party platform, the first information is allocated to the terminal by the third-party platform.

[0164] Optionally, the third-party platform refers to a server other than a terminal and a network device, such as a server of a chip manufacturer, a server of a terminal manufacturer, a server jointly established by certain manufacturers, or a server jointly established by certain organizations.

[0165] In some embodiments, the first information is sent from the first network device to the second network device.

[0166] In some embodiments, the first information includes at least one of the following:

[0167] Terminal identification information;

[0168] Terminal provider information;

[0169] Version information of the first AI model.

[0170] Optionally, the first information includes terminal identification information. Optionally, the terminal identification information of different terminals is different. Optionally, the terminal identification information can also be called terminal identity information, terminal identification code information, etc.

[0171] For example, the terminal identification information is used to indicate the identity document (ID) of the terminal.

[0172] Optionally, the first information includes provider information of the terminal. Optionally, the provider information of the terminal is used to indicate the provider to which the terminal belongs.

[0173] For example, the provider of terminal A is Provider A; the provider of terminal B is Provider B.

[0174] Optionally, the terminal information includes version information of the first AI function. Optionally, the version information of the first AI function is used to indicate the terminal version to which the first AI function belongs. For example, the terminal version of AI function A is version 12; the terminal version of AI function B is version 13.

[0175] Optionally, the terminal information includes one or more of terminal identification information, terminal provider information, and terminal version information.

[0176] In some embodiments, the first information is further used to assist the network device 102 in managing the first AI function.

[0177] In some embodiments, the information used to assist the network device 102 in managing the first AI function is different from the first information.

[0178] In some embodiments, the first information also includes at least one of the following: the AI ​​feature to which the first AI function belongs; the test method of the first AI function; the test scenario of the first AI function; the testing organization that tests the first AI function; the provider of the first AI function; and the performance range of the first AI function.

[0179] In one embodiment, the first information includes an AI feature to which the first AI function belongs.

[0180] Optionally, an AI feature can be an AI use case. Optionally, an AI feature includes one or more first AI functions.

[0181] For example, if the AI ​​feature is CSI compression, the first AI function may be CSI compression function 1 or CSI compression function 2. The application scenarios of CSI compression function 1 and CSI compression function 2 are different. For example, CSI compression function 1 is applied to macro cells, and CSI compression function 2 is applied to micro cells.

[0182] In one embodiment, the first information includes a test method of the first AI function.

[0183] Optionally, the testing method of the first AI function includes testing based on a preset data set or actual testing performed when communicating based on the first AI function.

[0184] In one embodiment, the first information includes a test scenario of the first AI function.

[0185] Optionally, the test scenario of the first AI function is used to indicate a scenario in which the first AI function is tested. For example, the first AI function is tested at high speed; or the first AI function is tested at low speed; or the first AI function is tested in a microcell; or the first AI function is tested in a macrocell.

[0186] In one embodiment, the first information includes a testing organization that tests the first AI function.

[0187] Optionally, the testing mechanism includes network equipment or a third-party platform.

[0188] In one embodiment, the first information includes a provider of the first AI function.

[0189] Optionally, the provider of the first AI function refers to a manufacturer that provides the first AI function. For example, the first AI function 1 belongs to provider A; the first AI function 2 belongs to provider B.

[0190] In one embodiment, the first information includes a performance range of the first AI function. Optionally, the performance range of the first AI function represents a performance indicator of the first AI function, such as the accuracy of reasoning performed based on the first AI function, the latency range of reasoning, etc.

[0191] In one embodiment, the first information includes one or more of the following: an AI feature of the first AI function, a test method of the first AI function, a test scenario of the first AI function, a testing organization that tests the first AI function, a provider of the first AI function, and a performance range of the first AI function.

[0192] In step S2103 , the network device 102 determines whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator.

[0193] In some embodiments, the network device 102 determines whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator based on the first information.

[0194] In some embodiments, the first information is used to indicate at least one of the following: the first AI function passes the test; the performance of the first AI function meets the performance index; the first AI function fails the test; the performance of the first AI function does not meet the performance index.

[0195] In some embodiments, the network device 102 determines whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator based on the first information, including at least one of the following:

[0196] The first information is used to indicate that the first AI function passed the test, and the network device 102 determines that the first AI function passed the test;

[0197] The first information is used to indicate that the performance of the first AI function meets the performance indicator, and the network device 102 determines that the performance of the first AI function meets the performance indicator;

[0198] The first information is used to indicate that the first AI function fails the test, and the network device 102 determines that the first AI function fails the test;

[0199] The first information is used to indicate that the performance of the first AI function does not meet the performance indicator, and the network device 102 determines that the performance of the first AI function does not meet the performance indicator.

[0200] In some embodiments, the network device 102 determines whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator based on the first information, including at least one of the following:

[0201] The second information is consistent with the third information, determining that the first AI function has passed the test or that the performance of the first AI function meets the performance indicator;

[0202] The second information is inconsistent with the third information, and it is determined that the first AI function has failed the test or the performance of the first AI function does not meet the performance indicator.

[0203] In some embodiments, the second information is obtained based on the first information.

[0204] Optionally, the second information is the first information.

[0205] Optionally, an operation is performed on the first information, and the second information is the first information after the operation.

[0206] Optionally, the second information is a value obtained based on the first information.

[0207] Optionally, the name of the second information is not limited, and may be, for example, "character", "indicator", "operation result", "bit value", etc.

[0208] In some embodiments, the third information is information pre-set in the network device 102 .

[0209] Optionally, the third information is used to indicate that the first AI function passes the test or that the performance of the first AI function meets a performance indicator.

[0210] Optionally, the third information is used to verify the second information.

[0211] Optionally, the third information is a plurality of bits. Optionally, the third information is a plurality of indicators. Optionally, the third information is a plurality of characters. Optionally, the third information is a preset value.

[0212] Optionally, the name of the third information is not limited, and it can be, for example, "character", "indicator", "operation result", "bit value", etc.

[0213] In some embodiments, the second information is consistent with the third information, and it is determined that the first AI function passes the test or the performance of the first AI function meets the performance indicator.

[0214] For example, the second information is the first information, the second information is 111111, and the third information is 111111. The second information is consistent with the third information, and the first AI function passes the test or the performance of the first AI function meets the performance indicator.

[0215] For another example, the first information is 11110001, and the second information is the first information after calculation, for example, 4. If the third information is 4, the first AI function passes the test or the performance of the first AI function meets the performance indicator.

[0216] In some embodiments, the second information is inconsistent with the third information, and it is determined that the first AI function has failed the test or the performance of the first AI function does not meet the performance indicator.

[0217] For example, the second information is the first information, the second information is 111111, and the third information is 110111. If the second information is inconsistent with the third information, the first AI function fails the test or the performance of the first AI function does not meet the performance indicators.

[0218] For another example, the first information is 11110001, and the second information is the first information after calculation, for example, 4. If the third information is 2, the first AI function fails the test or the performance of the first AI function does not meet the performance index.

[0219] In some embodiments, the third information is a first value. Optionally, the third information may also be a first result, a first character, a first indicator, etc., which is not limited in the embodiments of the present disclosure.

[0220] In some embodiments, the network device 102 determines whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator based on the first information, including at least one of the following:

[0221] The second information is consistent with the first value, determining that the first AI function has passed the test or that the performance of the first AI function meets the performance indicator;

[0222] The second information is inconsistent with the first value, and it is determined that the first AI function fails the test or the performance of the first AI function does not meet the performance indicator.

[0223] Optionally, the second information is consistent with the first value, and it is determined that the first AI function passes the test or the performance of the first AI function meets the performance indicator.

[0224] Optionally, the second information is inconsistent with the first value, and it is determined that the first AI function fails the test or the performance of the first AI function does not meet the performance indicator.

[0225] Optionally, if the second information is consistent with the first value, it is determined that the first AI function has passed the test or the performance of the first AI function meets the performance indicator. If the second information is inconsistent with the first value, it is determined that the first AI function has failed the test or the performance of the first AI function does not meet the performance indicator.

[0226] In some embodiments, the network device 102 determines whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator based on the first information, including at least one of the following:

[0227] The value obtained based on the first information is consistent with the first value, determining that the first AI function passes the test or the performance of the first AI function meets the performance indicator;

[0228] The value obtained based on the first information is inconsistent with the first value, and it is determined that the first AI function fails the test or the performance of the first AI function does not meet the performance indicator.

[0229] Optionally, the first value can be replaced with "character", "indicator", "operation result", "bit value", etc.

[0230] Optionally, the value obtained based on the first information is consistent with the first value, and it is determined that the first AI function passes the test or the performance of the first AI function meets the performance indicator.

[0231] Optionally, the value obtained based on the first information is inconsistent with the first value, and it is determined that the first AI function fails the test or the performance of the first AI function does not meet the performance indicator.

[0232] Optionally, if the value obtained based on the first information is consistent with the first value, it is determined that the first AI function has passed the test or that the performance of the first AI function meets the performance indicator. If the value obtained based on the first information is inconsistent with the first value, it is determined that the first AI function has failed the test or that the performance of the first AI function does not meet the performance indicator.

[0233] Optionally, the value obtained based on the first information is the value of the first information. Alternatively, the value obtained based on the first information is a value obtained by performing an operation on the value of the first information.

[0234] In some embodiments, the first information includes at least one of the following: terminal identification information; terminal provider information; version information of the first AI model.

[0235] In some embodiments, determining whether the first AI function passes the test or determining whether the performance of the first AI function meets the performance indicator based on the first information includes at least one of the following:

[0236] The fourth information includes the first information, determining that the first AI function passes the test or that the performance of the first AI function meets the performance indicator;

[0237] The fourth information does not include the first information, and it is determined that the first AI function fails the test or the performance of the first AI function does not meet the performance indicator.

[0238] In some embodiments, the fourth information is used to indicate whether the AI ​​function meets the performance indicator through testing or performance.

[0239] In some embodiments, the fourth information includes at least one of the following: one or more terminal identification information; one or more terminal provider information; one or more AI model version information.

[0240] In some embodiments, the name of the fourth information is not limited, and it can be, for example, "white list", "list", "collection", etc.

[0241] In some embodiments, the fourth information includes the first information, and determines whether the first AI function passes the test or the performance of the first AI function meets the performance indicator.

[0242] For example, the fourth information includes identification information of one or more terminals, and the first information is terminal identification information. If the identification information of the multiple terminals included in the fourth information includes the terminal information indicated by the first information, it is determined that the first AI function passes the test or that the performance of the first AI function meets the performance indicator.

[0243] In some embodiments, the fourth information does not include the first information, and it is determined that the first AI function fails the test or the performance of the first AI function does not meet the performance indicator.

[0244] For example, the fourth information includes identification information of one or more terminals, and the first information is terminal identification information. If the identification information of the multiple terminals included in the fourth information does not include the terminal information indicated by the first information, it is determined that the first AI function passes the test or that the performance of the first AI function meets the performance indicator.

[0245] In some embodiments, it is determined whether the fourth information includes the first information, and whether the first AI function passes the test or whether the performance of the first AI function meets the performance index.

[0246] 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.

[0247] In some embodiments, the fourth information is determined by a third-party platform for the first network device. Optionally, the third-party platform tests the AI ​​function, creates a terminal information list of terminals that pass the AI ​​function test, and sends it to the second network device.

[0248] In some embodiments, the fourth information is determined by the first network device. Optionally, the first network device tests the AI ​​function, creates a terminal information list of terminals that pass the AI ​​function test, forms the fourth information, and sends it to the second network device.

[0249] In some embodiments, the fourth information is determined by the provider of the AI ​​function for the second network device. Optionally, if the AI ​​function under the provider of the AI ​​function passes the test, the provider of the AI ​​function sends a list of terminal information that passed the test, i.e., the fourth information, to the second network device.

[0250] In some embodiments, the network device determines whether the first AI function has passed the test or whether the performance of the first AI function meets the performance indicator based on the first information indicating whether the first AI function has passed the test or whether the performance of the first AI function meets the performance indicator. The network device then determines whether the second information is consistent with the third information to further verify whether the first AI function has passed the test or whether the performance of the first AI function meets the performance indicator.

[0251] Optionally, the priority of the result of whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator obtained based on the second information and the third information is higher than the priority of whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator indicated by the first information.

[0252] For example, the first information indicates that the first AI function passed the test. The second information and the third information are inconsistent, and it is determined that the first AI function failed the test. In this case, the first AI function is determined to have failed the test based on the second information and the third information.

[0253] Optionally, the priority of the result of whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator obtained based on the second information and the third information is lower than the priority of whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator indicated by the first information.

[0254] Optionally, the first information indicates that the first AI function passed the test. The second information is inconsistent with the third information, and it is determined that the first AI function failed the test. In this case, it is determined based on the first information that the first AI function failed the test.

[0255] In some embodiments, the network device determines whether the first AI function has passed the test or whether the performance of the first AI function meets the performance indicator based on whether the first information indicates whether the first AI function has passed the test or whether the performance of the first AI function meets the performance indicator. The network device then determines whether the fourth information includes the first information to further verify whether the first AI function has passed the test or whether the performance of the first AI function meets the performance indicator.

[0256] Optionally, the priority of the result of whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator determined based on the fourth information is higher than the priority of whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator indicated by the first information.

[0257] For example, the first information indicates that the first AI function passed the test. The fourth information does not include the first information, and it is determined that the first AI function failed the test. In this case, it is determined that the first AI function failed the test based on the fact that the fourth information does not include the first information.

[0258] Optionally, the priority of the result of whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator determined based on the fourth information is lower than the priority of whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator indicated by the first information.

[0259] For example, the first information indicates that the first AI function passed the test. The fourth information does not include the first information, and it is determined that the first AI function failed the test. In this case, it is determined based on the first information that the first AI function failed the test.

[0260] In some embodiments, the first information includes a performance range of the first AI function.

[0261] In some embodiments, the network device 102 determines whether the first AI function passes the test based on the performance interval of the first AI function.

[0262] For example, the network device 102 determines that the performance of the first AI function is lower than a threshold based on the performance interval of the first AI function, and then determines that the first AI function fails the test or the performance of the first AI function does not meet the performance indicator.

[0263] In some embodiments, the network device 102 manages the AI ​​function based on the first information.

[0264] For example, the network device 102 determines that the performance of the first AI function is lower than a threshold based on the performance range of the first AI function, and then informs the terminal not to use the first AI function for communication.

[0265] The communication method involved in the embodiments of the present disclosure may include at least one of steps S2101 to S2103. For example, step S2102 may be implemented as an independent embodiment, step S2103 may be implemented as an independent embodiment, and steps S2102+S2103 may be implemented as independent embodiments, but are not limited thereto.

[0266] In some embodiments, steps S2101 and S2102 may be executed in an interchanged order or simultaneously.

[0267] In some embodiments, steps S2101 and S2103 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0268] In some embodiments, steps S2102 and S2103 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0269] In some embodiments, reference may be made to other optional implementations recorded before or after the description corresponding to FIG. 2 .

[0270] FIG3a is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG3a, the embodiment of the present disclosure relates to a communication method, which is executed by terminal 101 and includes:

[0271] Step S3101, sending the fifth information.

[0272] 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.

[0273] In some embodiments, the terminal 101 sends the fifth information to the network device 102, but is not limited thereto and the fifth information may also be sent to other entities.

[0274] Step S3102, sending the first information.

[0275] In some embodiments, the terminal 101 sends the first information to the network device 102, but is not limited thereto and the first information may also be sent to other entities.

[0276] The optional implementation of step S3102 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.

[0277] The communication method involved in the embodiment of the present disclosure may include at least one of steps S3101 to S3102. For example, step S3101 may be implemented as an independent embodiment, and step S3102 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0278] In some embodiments, step S3101 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0279] FIG3b is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG3b, the embodiment of the present disclosure relates to a communication method, which is executed by terminal 101 and includes:

[0280] Step S3201, sending the first information.

[0281] The optional implementation of step S3201 can refer to the optional implementation of step S2102 in Figure 2 and other related parts in the embodiment involved in Figure 2. In an optional embodiment, the optional implementation of step S3201 can refer to step S3102 in Figure 3a and other related parts in the embodiment involved in Figure 3a, which will not be repeated here.

[0282] In some embodiments, the first information is used to indicate at least one of the following: the first AI function passes the test; the performance of the first AI function meets the performance index; the first AI function fails the test; the performance of the first AI function does not meet the performance index.

[0283] In some embodiments, whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator includes at least one of the following: if the value obtained based on the first information is consistent with the first value, the first AI function passes the test or the performance of the first AI function meets the performance indicator; if the value obtained based on the first information is inconsistent with the first value, the first AI function fails the test or the performance of the first AI function does not meet the performance indicator.

[0284] In some embodiments, the first information includes one or more bits.

[0285] In some embodiments, the first information is allocated to the terminal by a first network device or a third-party platform; the first network device is different from the second network device, and the second network device is a network device of a serving cell to which the terminal currently belongs.

[0286] In some embodiments, the first information includes at least one of the following: terminal identification information; terminal provider information; version information of the first AI model.

[0287] In some embodiments, whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicators includes at least one of the following: the second information includes the first information, the first AI function passes the test or the performance of the first AI function meets the performance indicators; the second information does not include the first information, the first AI function fails the test or the performance of the first AI function does not meet the performance indicators; the fourth information includes at least one of the following: one or more terminal identification information; one or more terminal provider information; one or more AI model version information.

[0288] In some embodiments, the fourth information is provided to the second network device by a third-party platform, the first network device, or the provider of the first AI function; the second network device is the network device of the serving cell to which the terminal currently belongs; and the first network device is different from the second network device.

[0289] In some embodiments, the first information also includes at least one of the following: the AI ​​feature to which the first AI function belongs; the test method of the first AI function; the test scenario of the first AI function; the testing organization that tests the first AI function; the provider of the first AI function; and the performance range of the first AI function.

[0290] In some embodiments, the method further includes: sending fifth information; the fifth information is used to indicate at least one of the following: the first AI function; parameter information of the first AI function.

[0291] FIG4a is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4a , the present disclosure embodiment relates to a communication method, which is executed by a network device 102 and includes:

[0292] Step S4101, obtain the fifth information.

[0293] The optional implementation of step S4101 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.

[0294] In some embodiments, the network device 102 receives the fifth information from the terminal 101 , but may also receive the fifth information from other entities.

[0295] In some embodiments, the network device 102 obtains fifth information specified by the protocol.

[0296] In some embodiments, the network device 102 obtains the fifth information from upper layer(s).

[0297] In some embodiments, the network device 102 performs processing to obtain the fifth information.

[0298] In some embodiments, step S4101 is omitted, and the network device 102 autonomously determines the fifth information.

[0299] Step S4102, obtaining first information.

[0300] The optional implementation of step S4102 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.

[0301] In some embodiments, the network device 102 receives the first information from the terminal 101 , but may also receive the first information from other entities.

[0302] In some embodiments, the network device 102 obtains first information specified by the protocol.

[0303] In some embodiments, the network device 102 obtains the first information from an upper layer(s).

[0304] In some embodiments, the network device 102 performs processing to obtain the first information.

[0305] In some embodiments, step S4102 is omitted, and the network device 102 autonomously determines the first information.

[0306] Step S4103: Determine whether the first AI function passes the test or whether the performance of the first AI function meets the performance index.

[0307] The optional implementation of step S4103 can refer to the optional implementation of step S2103 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0308] The communication method involved in the embodiments of the present disclosure may include at least one of steps S4101 to S4103. For example, step S4102 may be implemented as an independent embodiment, step S4103 may be implemented as an independent embodiment, step S4101 + step S4102 may be implemented as an independent embodiment, and step S4102 + step S4103 may be implemented as independent embodiments, but the present invention is not limited thereto.

[0309] In some embodiments, steps S4101 and S4102 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0310] In some embodiments, steps S4101 and S4103 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0311] FIG4 b is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4 b , the present disclosure embodiment relates to a communication method, which is executed by the network device 102 and includes:

[0312] Step S4201, obtain first information.

[0313] The optional implementation of step S4201 can refer to the optional implementation of step S2102 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here. In an optional embodiment, the optional implementation of step S4201 can refer to step S4102 in Figure 4a and other related parts of the embodiment involved in Figure 4a, which will not be repeated here.

[0314] In some embodiments, the first information is used to indicate at least one of the following: the first AI function passes the test; the performance of the first AI function meets the performance index; the first AI function fails the test; the performance of the first AI function does not meet the performance index.

[0315] In some embodiments, the first information includes one or more bits.

[0316] In some embodiments, the first information is allocated to the terminal by a first network device or a third-party platform; the first network device is different from the second network device, and the second network device is a network device of a serving cell to which the terminal currently belongs.

[0317] In some embodiments, the first information includes at least one of the following: terminal identification information; terminal provider information; version information of the first AI model.

[0318] In some embodiments, the first information also includes at least one of the following: the AI ​​feature to which the first AI function belongs; the test method of the first AI function; the test scenario of the first AI function; the testing organization that tests the first AI function; the provider of the first AI function; and the performance range of the first AI function.

[0319] In some embodiments, the method further includes: receiving fifth information; the fifth information is used to indicate at least one of the following: the first AI function; parameter information of the first AI function.

[0320] Step S4202: Based on the first information, determine whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator.

[0321] In some embodiments, if the value obtained based on the first information is consistent with the first value, it is determined that the first AI function has passed the test or the performance of the first AI function meets the performance index; if the value obtained based on the first information is inconsistent with the first value, it is determined that the first AI function has failed the test or the performance of the first AI function does not meet the performance index.

[0322] In some embodiments, the fourth information includes the first information, determining that the first AI function passes the test or the performance of the first AI function meets the performance indicators; the fourth information does not include the first information, determining that the first AI function fails the test or the performance of the first AI function does not meet the performance indicators; the fourth information includes at least one of the following: one or more terminal identification information; one or more terminal provider information; one or more AI model version information.

[0323] In some embodiments, the fourth information is provided to the second network device by a third-party platform, the first network device, or the provider of the first AI function; the second network device is the network device of the serving cell to which the terminal currently belongs; and the first network device is different from the second network device.

[0324] The optional implementation of step S4202 can refer to the optional implementation of step S2103 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here. In an optional embodiment, the optional implementation of step S4202 can refer to step S4103 in Figure 4a and other related parts of the embodiment involved in Figure 4a, which will not be repeated here.

[0325] The communication method involved in the embodiment of the present disclosure may include at least one of steps S4201 and S4202. For example, step S4201 may be implemented as an independent embodiment, and step S4202 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0326] In some embodiments, step S4201 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0327] In some embodiments, step S4202 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0328] FIG5 is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG5 , the embodiment of the present disclosure relates to a communication method for use in a communication system 100, the method comprising:

[0329] Step S5101: Terminal 101 sends first information to network device 102.

[0330] For optional implementations of step S5101, see the optional implementations of step S2102 in FIG. 2 and other related parts of the embodiment involved in FIG. For optional implementations of step S5101, see the optional implementations of step S3102 in FIG. 3a and other related parts of the embodiment involved in FIG. For optional implementations of step S5101, see the optional implementations of step S4102 in FIG. 4a and other related parts of the embodiment involved in FIG.

[0331] In step S5102, the network device 102 determines whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator based on the first information.

[0332] For optional implementations of step S5102, see the optional implementations of step S2103 in Figure 2 and other related parts of the embodiment involved in Figure 2. For optional implementations of step S5102, see the optional implementations of step S4103 in Figure 4a and other related parts of the embodiment involved in Figure 4a.

[0333] In some embodiments, the above method may include the method described in the above embodiments related to the communication system 100, the terminal 101, the network device 102, etc., which will not be repeated here.

[0334] The present disclosure also provides a communication method, as described below:

[0335] Method 1:

[0336] (1) The terminal reports a first artificial intelligence (AI) functionality locally supported by the terminal or parameters related to the first AI functionality. In addition, the terminal also reports second information used to determine whether the first AI functionality passes a test or meets a preset performance indicator.

[0337] For example, the first AI functionality can be AI-based spatial beam prediction, where the number of beams in the actual measurement subset is 16 and the predicted full set of beams is 64.

[0338] (2) Based on (1), the second information is allocated by a third-party platform or by the network. For example, when the AI ​​function is tested by a third-party platform, the second information is allocated by the third-party platform. If the AI ​​function is tested by the network side, the second information is allocated by the network side.

[0339] (3) Based on (1), the second information is an indicator directly used to indicate whether the first AI function has been tested.

[0340] (4) Based on (1), the second information is a string of indicators, which can represent one of the following information:

[0341] AI features as described in AI functionality;

[0342] Testing methods, such as whether based on a pre-set data set or actual measurements;

[0343] Test scenario, such as whether to test at high or low speed, or in a small or macro cell;

[0344] Testing agencies;

[0345] The manufacturer to which the first AI function belongs;

[0346] Performance range.

[0347] (5) Based on (1), the second information is a string of characters. Based on the second information, the network side needs to perform verification. Only when the verification is passed does it indicate that the first AI function has passed the test.

[0348] Method 2:

[0349] (1) Establish a whitelist of terminal information that has passed the AI ​​function test. When the terminal reports the AI ​​functions it supports, it also reports related terminal information. After receiving the AI ​​functions supported or the related parameters of the AI ​​functions and terminal information reported by the terminal, the network side determines whether the reported AI functions have passed the test by querying the whitelist.

[0350] (2) Based on (1), the terminal information may be the terminal ID that has passed the test, the manufacturer to which the terminal belongs, or a series described by the terminal.

[0351] (3) The terminal information whitelist can be established by the AI ​​function testing organization or the network itself, or the mobile phone manufacturer can continue to register with the network. For example, after the mobile phone manufacturer's AI function passes the test, it reports the terminal information list that has passed the test to the network.

[0352] In the embodiments of the present disclosure, the above methods and steps can be implemented as independent embodiments. Part or all of the methods, steps, or their optional implementations can be arbitrarily combined with part or all of the steps in other embodiments, or with the optional implementations of other embodiments.

[0353] 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.

[0354] 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.

[0355] 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.

[0356] Figure 6A is a schematic diagram of the structure of a network device proposed in an embodiment of the present disclosure. As shown in Figure 6A, the network device 6100 may include: at least one of a transceiver module 6101 and a processing module 6102. In some embodiments, the transceiver module is used to receive first information; the first information is used to determine whether a first AI function has passed a test or to determine whether the performance of the first AI function meets a performance indicator, where the first AI function is one or more AI functions supported by the terminal; the processing module is used by the network device to determine whether the first AI function has passed a test or to determine whether the performance of the first AI function meets the performance indicator based on the first information. Optionally, the transceiver module 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 (for example, step S2101 and step S2102, but not limited thereto), which are not further described here. Optionally, the processing module is used to perform at least one of the other steps (for example, step S2103, but not limited thereto) performed by the network device 102 in any of the above methods, which are not further described here.

[0357] Figure 6B is a schematic diagram of the structure of the terminal proposed in an embodiment of the present disclosure. As shown in Figure 6B, the terminal 6200 may include: a transceiver module 6201. In some embodiments, the above-mentioned transceiver module is used to send a first information, and the first information is used to determine whether the first AI function has passed the test or to determine whether the performance of the first AI function meets the performance index. The first AI function is one or more AI functions supported by the terminal. Optionally, the above-mentioned transceiver module is used to perform at least one of the communication steps such as sending and / or receiving (for example, step S2101, step S2102, but not limited to this) performed by the terminal 101 in any of the above methods, which will not be repeated here.

[0358] 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.

[0359] In some embodiments, the processing module can be a single module or can include multiple submodules. Optionally, the multiple submodules respectively execute all or part of the steps required to be executed by the processing module. Optionally, the processing module can be interchangeable with the processor.

[0360] Figure 7A is a schematic diagram of the structure of a communication device 7100 proposed in an embodiment of the present disclosure. Communication device 7100 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 7100 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.

[0361] As shown in FIG7A , the communication device 7100 includes one or more processors 7101. The processor 7101 may be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor may be used to process communication protocols and communication data, and the central processing unit may be used to control a communication device (e.g., 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. The communication device 7100 is used to perform any of the above methods.

[0362] In some embodiments, the communication device 7100 further includes one or more memories 7102 for storing instructions. Optionally, all or part of the memories 7102 may be located outside the communication device 7100.

[0363] In some embodiments, the communication device 7100 further includes one or more transceivers 7103. When the communication device 7100 includes one or more transceivers 7103, the transceiver 7103 performs at least one of the communication steps such as sending and / or receiving in the above method (for example, step S2101 and step S2102, but not limited thereto), and the processor 7101 performs at least one of the other steps (for example, step S2103, but not limited thereto).

[0364] In some embodiments, a transceiver may include a receiver and / or a transmitter. The receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, and transceiver circuit 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.

[0365] In some embodiments, the communication device 7100 may include one or more interface circuits 7104. Optionally, the interface circuit 7104 is connected to the memory 7102. The interface circuit 7104 may be configured to receive signals from the memory 7102 or other devices, and may be configured to send signals to the memory 7102 or other devices. For example, the interface circuit 7104 may read instructions stored in the memory 7102 and send the instructions to the processor 7101.

[0366] The communication device 7100 described in the above embodiment may be a network device or a terminal, but the scope of the communication device 7100 described in the present disclosure is not limited thereto, and the structure of the communication device 7100 may not be limited by FIG. 7A. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0367] 7B is a schematic diagram of the structure of a chip 7200 proposed in an embodiment of the present disclosure. If the communication device 7100 can be a chip or a chip system, please refer to the schematic diagram of the structure of the chip 7200 shown in FIG7B , but the present disclosure is not limited thereto.

[0368] The chip 7200 includes one or more processors 7201 , and the chip 7200 is configured to execute any of the above methods.

[0369] In some embodiments, the chip 7200 further includes one or more interface circuits 7202. Optionally, the interface circuit 7202 is connected to the memory 7203. The interface circuit 7202 can be used to receive signals from the memory 7203 or other devices, and can be used to send signals to the memory 7203 or other devices. For example, the interface circuit 7202 can read instructions stored in the memory 7203 and send the instructions to the processor 7201.

[0370] In some embodiments, the interface circuit 7202 performs at least one of the communication steps such as sending and / or receiving in the above method (for example, step S2101, step S2103, but not limited to this), and the processor 7201 performs at least one of the other steps (for example, step S2103, but not limited to this).

[0371] In some embodiments, terms such as interface circuit, interface, transceiver pin, and transceiver may be used interchangeably.

[0372] In some embodiments, the chip 7200 further includes one or more memories 7203 for storing instructions. Alternatively, all or part of the memories 7203 may be located outside the chip 7200.

[0373] The present disclosure also proposes a storage medium having instructions stored thereon. When the instructions are executed on the communication device 7100, the communication device 7100 executes 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.

[0374] The present disclosure also provides a program product, which, when executed by the communication device 7100, enables the communication device 7100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0375] 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: The method comprises: receiving first information, where the first information is used to determine whether a first AI function passes a test or to determine whether performance of the first AI function meets a performance indicator, where the first AI function is one or more AI functions supported by the terminal; Based on the first information, determine whether the first AI function passes the test or whether the performance of the first AI function meets a performance indicator.

2. The method according to claim 1, characterized in that The first information is used to indicate at least one of the following: The first AI function passed the test; The performance of the first AI function meets the performance indicators; The first AI function failed the test; The performance of the first AI function did not meet the performance indicators.

3. The method according to claim 1 or 2, characterized in that: The determining, based on the first information, whether the first AI function passes the test or whether the performance of the first AI function meets a performance indicator includes at least one of the following: A value obtained based on the first information is consistent with the first value, determining that the first AI function passes the test or that the performance of the first AI function meets the performance indicator; The value obtained based on the first information is inconsistent with the first value, and it is determined that the first AI function fails the test or the performance of the first AI function does not meet the performance indicator.

4. The method according to claim 2 or 3, characterized in that: The first information includes one or more bits.

5. The method according to any one of claims 1 to 4, characterized in that: The first information is allocated to the terminal by a first network device or a third-party platform; The first network device is different from the second network device, and the second network device is the network device of the serving cell to which the terminal currently belongs.

6. The method according to claim 1 or 2, characterized in that: The first information includes at least one of the following: Terminal identification information; The terminal provider's information; Version information of the first AI model.

7. The method according to claim 6, characterized in that The determining, based on the first information, whether the first AI function passes the test or whether the performance of the first AI function meets a performance indicator includes at least one of the following: The fourth information includes the first information, and determines that the first AI function passes the test or the performance of the first AI function meets the performance indicator; The fourth information does not include the first information, and it is determined that the first AI function fails the test or the performance of the first AI function does not meet the performance indicator; The fourth information includes at least one of the following: One or more terminal identification information; Provider information for one or more terminals; Version information of one or more AI models.

8. The method according to claim 7, characterized in that The fourth information is provided to the second network device by the third-party platform, the first network device, or the provider of the first AI function; The second network device is a network device of a serving cell to which the terminal currently belongs; The first network device is different from the second network device.

9. The method according to any one of claims 1 to 8, characterized in that The first information also includes at least one of the following: The AI ​​feature to which the first AI function belongs; A test method for the first AI function; A test scenario for the first AI function; A testing organization that tests the first AI function; A provider of the first AI function; The performance range of the first AI function.

10. The method according to any one of claims 1 to 9, characterized in that The method further comprises: receiving a fifth message; The fifth information is used to indicate at least one of the following: the first AI function; parameter information of the first AI function.

11. A communication method, characterized in that: The method comprises: Sending first information, where the first information is used to determine whether the first AI function passes the test or to determine whether the performance of the first AI function meets the performance indicator, where the first AI function is one or more AI functions supported by the terminal.

12. The method according to claim 11, characterized in that The first information is used to indicate at least one of the following: The first AI function passed the test; The performance of the first AI function meets the performance indicators; The first AI function failed the test; The performance of the first AI function did not meet the performance indicators.

13. The method according to claim 11 or 12, characterized in that: Whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator includes at least one of the following: The value obtained based on the first information is consistent with the first value, and the first AI function passes the test or the performance of the first AI function meets the performance indicator; The value obtained based on the first information is inconsistent with the first value, and the first AI function fails the test or the performance of the first AI function does not meet the performance indicator.

14. The method according to claim 12 or 13, characterized in that The first information includes one or more bits.

15. The method according to any one of claims 11 to 14, characterized in that The first information is allocated to the terminal by a first network device or a third-party platform; The first network device is different from the second network device, and the second network device is the network device of the serving cell to which the terminal currently belongs.

16. The method according to claim 11 or 12, characterized in that: The first information includes at least one of the following: Terminal identification information; The terminal provider's information; Version information of the first AI model.

17. The method according to claim 16, characterized in that Whether the first AI function passes the test or whether the performance of the first AI function meets the performance indicator includes at least one of the following: The fourth information includes the first information, and the first AI function passes the test or the performance of the first AI function meets the performance indicator; The fourth information does not include the first information, and the first AI function fails the test or the performance of the first AI function does not meet the performance indicator; The fourth information includes at least one of the following: One or more terminal identification information; Provider information for one or more terminals; Version information of one or more AI models.

18. The method according to claim 17, characterized in that The fourth information is provided to the second network device by the third-party platform, the first network device, or the provider of the first AI function; The second network device is a network device of a serving cell to which the terminal currently belongs; The first network device is different from the second network device.

19. The method according to any one of claims 11 to 18, characterized in that The first information also includes at least one of the following: The AI ​​feature to which the first AI function belongs; A test method for the first AI function; A test scenario for the first AI function; A testing organization that tests the first AI function; A provider of the first AI function; The performance range of the first AI function.

20. The method according to any one of claims 11 to 19, characterized in that The method further comprises: Send the fifth message; The fifth information is used to indicate at least one of the following: the first AI function; parameter information of the first AI function.

21. A communication method, characterized in that: The method comprises: The terminal sends first information to the network device; the first information is used to determine whether the first AI function passes the test or to determine whether the first AI function passes the test. whether the performance of the function meets the performance indicator, the first AI function being one or more AI functions among the AI ​​functions supported by the terminal; The network device determines, based on the first information, whether the first AI function passes the test or determines whether the performance of the first AI function meets a performance indicator.

22. A network device, characterized in that: include: A transceiver module, configured to receive first information; The first information is used to determine whether the first AI function passes the test or to determine whether the performance of the first AI function meets the performance indicator, where the first AI function is one or more AI functions supported by the terminal; A processing module is used for the network device to determine whether the first AI function passes the test or determines whether the performance of the first AI function meets the performance indicator based on the first information.

23. A terminal, characterized in that: include: The transceiver module is used to send first information, where the first information is used to determine whether the first AI function passes the test or to determine whether the performance of the first AI function meets the performance indicator, where the first AI function is one or more AI functions supported by the terminal.

24. A network device, characterized in that: include: one or more processors; The processor is used to execute the communication method according to any one of claims 1 to 10.

25. A terminal, characterized in that: include: one or more processors; The processor is used to execute the communication method described in any one of claims 11-20.

26. A communication system, characterized in that: The invention comprises a terminal and a network device, wherein the network device is configured to implement the communication method according to any one of claims 1 to 10, and the terminal is configured to implement the communication method according to any one of claims 11 to 20.

27. A storage medium storing instructions, characterized in that: When the instruction is executed on a communication device, the communication device is caused to execute the communication method according to any one of claims 1-10 and 11-20.

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