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

Abstract

The present disclosure relates to a communication method, a communication device, a communication system, and a storage medium. The communication method comprises: receiving first information sent by a second network element, wherein the first information comprises resource information and capability information of a terminal, and the resource information and the capability information are used for determining some AI tasks to be executed by the terminal. The present disclosure achieves utilization of computing and storage resources of a terminal to effectively expand resources available for AI tasks.

Description

Communication method, communication device, communication system and storage medium Technical Field

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

[0002] Artificial intelligence (AI) or machine learning (ML) will become an important feature of the sixth generation mobile communication technology (6G) network.

[0003] Summary of the Invention

[0004] Currently, the computing and storage resources available for AI tasks are limited and urgently need to be expanded.

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

[0006] According to a first aspect of an embodiment of the present disclosure, a communication method is proposed, which is executed by a first network element. The method includes: receiving first information sent by a second network element, the first information including resource information and capability information of a terminal, and the resource information and capability information are used to determine part of the AI ​​tasks to be executed by the terminal.

[0007] According to a second aspect of an embodiment of the present disclosure, a communication method is proposed, which is executed by a second network element. The method includes: sending first information to a first network element, wherein the first information includes resource information and capability information of a terminal, and the resource information and capability information are used to determine part of the AI ​​tasks to be executed by the terminal.

[0008] According to a third aspect of an embodiment of the present disclosure, a communication method is proposed, which is executed by a terminal. The method includes: regularly sending resource information and capability information of the terminal to a second network element, wherein the resource information and capability information are used to determine part of the AI ​​tasks to be executed by the terminal.

[0009] According to a fourth aspect of an embodiment of the present disclosure, a communication method is proposed, comprising: a terminal periodically sending resource information and capability information of the terminal to a second network element, wherein the resource information and capability information are used to determine part of the AI ​​tasks to be performed by the terminal; the second network element sends first information to a first network element, wherein the first information includes the resource information and capability information of the terminal; and the first network element receives the first information.

[0010] According to the fifth aspect of an embodiment of the present disclosure, a core network network element is proposed, including: a transceiver module, used for the first network element to receive first information sent by the second network element, the first information including resource information and capability information of the terminal, and the resource information and capability information are used to determine part of the AI ​​tasks to be executed by the terminal.

[0011] According to the sixth aspect of an embodiment of the present disclosure, a core network network element is proposed, including: a transceiver module, used by a second network element to send first information to a first network element, wherein the first information includes resource information and capability information of the terminal, and the resource information and capability information are used to determine part of the AI ​​tasks to be executed by the terminal.

[0012] According to the seventh aspect of an embodiment of the present disclosure, a terminal is proposed, comprising: a transceiver module, configured to periodically send resource information and capability information of the terminal to a second network element, wherein the resource information and capability information are used to determine part of the AI ​​tasks to be performed by the terminal.

[0013] According to an eighth aspect of an embodiment of the present disclosure, a core network element is proposed, comprising: one or more processors; wherein the core network element is used to execute the first aspect and any one of the communication methods in the first aspect.

[0014] According to a ninth aspect of an embodiment of the present disclosure, a core network element is proposed, comprising: one or more processors; wherein the core network element is used to execute the second aspect and any one of the communication methods in the second aspect.

[0015] According to a tenth aspect of an embodiment of the present disclosure, a terminal is proposed, comprising: one or more processors; wherein the terminal is configured to execute any one of the communication methods in the first aspect, the third aspect, and the third aspect.

[0016] According to the eleventh aspect of an embodiment of the present disclosure, a communication system is proposed, including a terminal, a first network element, and a second network element, wherein the second network element is configured to implement the first aspect and any one of the communication methods in the first aspect, the second network element is configured to implement the second aspect, i.e., any one of the communication methods in the second aspect, and the terminal is configured to implement the third aspect and any one of the communication methods in the third aspect.

[0017] According to the twelfth aspect of the embodiment of the present disclosure, a storage medium is proposed, which stores instructions. When the instructions are executed on a communication device, the communication device executes the communication method of the first aspect and any one of the first aspects, or the communication method of the second aspect and any one of the second aspects, or the communication method of the third aspect and any one of the third aspects.

[0018] The present disclosure receives the resource information and capability information of the terminal sent by the second network element through the first network element to determine part of the AI ​​tasks to be executed by the terminal, that is, it is possible to hand over part of the AI ​​tasks to the terminal for execution, utilize the computing and storage resources of the terminal, and effectively expand the resources available for the AI ​​tasks. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] 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.

[0020] FIG1a is a schematic diagram of a 5G communication system architecture according to an embodiment of the present disclosure.

[0021] FIG1 b is a schematic diagram of a data storage architecture for storing unstructured data from any NF according to an embodiment of the present disclosure.

[0022] FIG1c is a schematic diagram of a data storage architecture according to an embodiment of the present disclosure.

[0023] FIG1d is a schematic diagram of an architecture for collecting data from any 5GC NF according to an embodiment of the present disclosure.

[0024] FIG. 1e is a schematic diagram of a data collection architecture using data collection coordination according to an embodiment of the present disclosure.

[0025] FIG1f is a schematic diagram of a communication system architecture according to an embodiment of the present disclosure.

[0026] FIG1g is a schematic diagram of a communication system architecture according to an embodiment of the present disclosure.

[0027] FIG2 is a schematic diagram showing an interaction of a communication method according to an embodiment of the present disclosure.

[0028] FIG3 a is a flow chart showing a communication method according to an embodiment of the present disclosure.

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

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

[0031] FIG4 b is a flow chart showing a communication method according to an embodiment of the present disclosure.

[0032] FIG5 a is a flow chart showing a communication method according to an embodiment of the present disclosure.

[0033] FIG5 b is a flow chart showing a communication method according to an embodiment of the present disclosure.

[0034] FIG6 is a schematic diagram showing an interaction of a communication method according to an embodiment of the present disclosure.

[0035] FIG7 is a flow chart showing a communication method according to an embodiment of the present disclosure.

[0036] FIG8 a is a schematic structural diagram of a core network element according to an embodiment of the present disclosure.

[0037] FIG8 b is a schematic structural diagram of a core network element according to an embodiment of the present disclosure.

[0038] FIG8c is a schematic structural diagram of a terminal according to an embodiment of the present disclosure.

[0039] Fig. 9a is a schematic structural diagram of a communication device according to an exemplary embodiment.

[0040] FIG9 b is a schematic diagram showing a chip structure according to an exemplary embodiment. DETAILED DESCRIPTION

[0041] The embodiments of the present disclosure provide a communication method, a communication device, a communication system, and a storage medium.

[0042] In a first aspect, an embodiment of the present disclosure proposes a communication method, which includes: receiving first information sent by a second network element, the first information including resource information and capability information of a terminal, and the resource information and capability information are used to determine part of the AI ​​tasks to be performed by the terminal.

[0043] In the above embodiment, the resource information and capability information of the terminal sent by the second network element is received by the first network element to determine part of the AI ​​tasks to be executed by the terminal. That is, part of the AI ​​tasks can be handed over to the terminal for execution, and the computing and storage resources of the terminal can be utilized to effectively expand the resources available for the AI ​​tasks.

[0044] In some optional embodiments of the first aspect, the resource information and capability information of the terminal are periodically sent by the terminal to the second network element.

[0045] In the above embodiment, the terminal resource information and capability information sent by the second network element to the first network element can be periodically sent by the terminal to the second network element, so as to periodically determine some AI tasks that can be executed by the terminal.

[0046] In some optional embodiments of the first aspect, the method further includes: determining deployment information of the AI ​​task; and determining part of the AI ​​task to be executed by the terminal based on resource information and capability information of the terminal and the deployment information of the AI ​​task.

[0047] In the above embodiment, the first network element can determine the deployment information of the AI ​​task, and determine part of the AI ​​tasks to be executed by the terminal based on the deployment information, as well as the resource information and capability information of the terminal, so as to hand over part of the AI ​​tasks that the terminal can execute to the terminal for execution, thereby improving communication efficiency.

[0048] In some optional embodiments of the first aspect, the deployment information of the AI ​​task includes at least one of the following: description information of the AI ​​task; configuration information of the AI ​​task; quality of service indicator QoAIS of the AI ​​task; Internet Protocol IP address of input data of the AI ​​task; IP address of output data of the AI ​​task.

[0049] In the above embodiment, the deployment information of the AI ​​task may include at least one of the above items, which can more accurately determine the part of the AI ​​tasks to be executed by the terminal.

[0050] In some optional embodiments of the first aspect, the method further includes: sending second information to the terminal, where the second information is used to indicate the terminal to execute a portion of the AI ​​task.

[0051] In the above embodiment, the first network element may indicate to the terminal some of the AI ​​tasks to be performed, so that the terminal performs some of the AI ​​tasks and fully utilizes the computing and storage resources of the terminal.

[0052] In some optional embodiments of the first aspect, the method further includes: sending third information to the second network element, where the third information is used to request the second network element to send resource information and capability information of the terminal.

[0053] In the above embodiment, the first network element may send a request message to the second network element, i.e., requesting the second network element to send the capability information and resource information of the terminal, so that the second network element can send the resource information and capability information of the terminal regularly reported by the terminal to the first network element.

[0054] In some optional embodiments of the first aspect, the method further includes: receiving fourth information sent by the second network element, the fourth information being used to indicate terminal status information and / or network status information; wherein the terminal status information is periodically sent by the terminal to the second network element.

[0055] In the above embodiment, the first network element can receive the terminal status information regularly reported by the terminal and sent by the second network element, as well as the network status information obtained by the second network element, so as to enable timely adjustment of the scheduling and allocation strategy of the AI ​​task, balance the task load, and improve the service quality.

[0056] In some optional embodiments of the first aspect, the method further includes: the method further includes: redetermining the configuration information of the AI ​​task based on the terminal status information and / or network status information; and sending the redetermined configuration information of the AI ​​task to the terminal.

[0057] In the above embodiment, the first network element can redetermine the configuration information of the AI ​​task based on the terminal status information and / or the network status information, and send the redetermined AI configuration information to the terminal to achieve flexible scheduling of AI tasks and reuse of network resources.

[0058] In some optional embodiments of the first aspect, the terminal state information includes at least one of the following: channel state information CSI; terminal remaining power; and terminal link bandwidth resources.

[0059] In the above embodiment, the terminal status information may include at least one of the above, so that the AI ​​configuration information can be re-determined accurately and quickly.

[0060] In some optional embodiments of the first aspect, the network status information includes at least one of the following: network load; and network congestion information.

[0061] In the above embodiment, the network status information may include at least one of the above, so that the AI ​​configuration information can be re-determined accurately and quickly.

[0062] In some optional embodiments of the first aspect, the method further includes: determining part of the AI ​​tasks to be executed by the first network element based on the resource information and capability information of the first network element, and the deployment information of the AI ​​tasks; executing part of the AI ​​tasks to be executed by the first network element to obtain a first execution result; and sending the first execution result to the second network element, so that the second network element stores the first execution result.

[0063] In the above embodiment, the first network element can determine part of the AI ​​tasks to be executed by itself based on the AI ​​deployment information, and obtain a first execution result after execution, and send the first execution result to the third network element so that the third network element can store the first execution result to facilitate related data analysis services and avoid repeated calculations.

[0064] In a second aspect, a communication method is provided, comprising: sending first information to a first network element, wherein the first information includes resource information and capability information of a terminal, and the resource information and capability information are used to determine part of an AI task to be performed by the terminal.

[0065] In some optional embodiments of the second aspect, the method further includes: receiving resource information and capability information of the terminal periodically sent by the terminal.

[0066] In some optional embodiments of the second aspect, the portion of the AI ​​tasks to be executed by the terminal is determined based on resource information and capability information of the terminal, and deployment information of the AI ​​tasks.

[0067] In some optional embodiments of the second aspect, the deployment information of the AI ​​task includes at least one of the following: description information of the AI ​​task; configuration information of the AI ​​task; quality of service indicator QoAIS of the AI ​​task; Internet Protocol IP address of input data of the AI ​​task; IP address of output data of the AI ​​task.

[0068] In some optional embodiments of the second aspect, the method further includes: receiving third information sent by the first network element, where the third information is used to request the second network element to send resource information and capability information of the terminal.

[0069] In some optional embodiments of the second aspect, the method further includes: sending fourth information to the first network element, the fourth information being used to indicate terminal status information and / or network status information; wherein the terminal status information is periodically sent by the terminal to the second network element.

[0070] In some optional embodiments of the second aspect, the terminal status information and / or network status information is used by the first network element to re-determine configuration information of the AI ​​task.

[0071] In some optional embodiments of the second aspect, the terminal status information includes at least one of the following: channel state information CSI; terminal remaining power; terminal link bandwidth resources.

[0072] In some optional embodiments of the second aspect, the network status information includes at least one of the following: network load; network congestion information.

[0073] In a third aspect, a communication method is provided, comprising: periodically sending resource information and capability information of a terminal to a second network element, wherein the resource information and capability information are used to determine part of the AI ​​tasks to be performed by the terminal.

[0074] In some optional embodiments of the third aspect, the portion of the AI ​​tasks to be executed by the terminal is determined based on resource information and capability information of the terminal, and deployment information of the AI ​​tasks.

[0075] In some optional embodiments of the third aspect, the deployment information of the AI ​​task includes at least one of the following: description information of the AI ​​task; configuration information of the AI ​​task; quality of service indicator QoAIS of the AI ​​task; Internet Protocol IP address of input data of the AI ​​task; IP address of output data of the AI ​​task.

[0076] In some optional embodiments of the third aspect, the method further includes: receiving second information sent by the first network element, where the second information is used to indicate a portion of the AI ​​task to be executed by the terminal.

[0077] In some optional embodiments of the third aspect, the method further includes: periodically sending terminal status information to the second network element.

[0078] In some optional embodiments of the third aspect, the terminal status information is used by the first network element to re-determine configuration information of the AI ​​task.

[0079] In some optional embodiments of the third aspect, the terminal status information includes at least one of the following: channel state information CSI; terminal remaining power; terminal link bandwidth resources.

[0080] In some optional embodiments of the third aspect, the method further includes: executing part of the AI ​​task to be executed by the terminal to obtain a second execution result; and sending the second execution result to a third network element, so that the third network element stores the second execution result.

[0081] In a fourth aspect, a communication method is proposed, which includes: the terminal periodically sends the terminal's resource information and capability information to the second network element, and the resource information and capability information are used to determine part of the AI ​​tasks to be performed by the terminal; the second network element sends first information to the first network element, and the first information includes the terminal's resource information and capability information; the first network element receives the first information.

[0082] In the fifth aspect, a core network network element is proposed, including: a transceiver module, used for the first network element to receive first information sent by the second network element, the first information including resource information and capability information of the terminal, and the resource information and capability information are used to determine part of the AI ​​tasks to be executed by the terminal.

[0083] In the sixth aspect, a core network network element is proposed, including: a transceiver module, used by the second network element to send first information to the first network element, wherein the first information includes resource information and capability information of the terminal, and the resource information and capability information are used to determine part of the AI ​​tasks to be executed by the terminal.

[0084] In the seventh aspect, a terminal is proposed, including: a transceiver module, used to periodically send resource information and capability information of the terminal to a second network element, wherein the resource information and capability information are used to determine part of the AI ​​tasks to be performed by the terminal.

[0085] In an eighth aspect, a core network element is proposed, comprising: one or more processors; wherein the core network element is used to execute the first aspect and any one of the communication methods in the first aspect.

[0086] In the ninth aspect, a core network element is proposed, comprising: one or more processors; wherein the core network element is used to execute the second aspect and any one of the communication methods in the second aspect.

[0087] In a tenth aspect, a terminal is proposed, comprising: one or more processors; wherein the terminal is used to execute the communication method of the first aspect, the third aspect, and any one of the third aspects.

[0088] In the eleventh aspect, a communication system is proposed, including a terminal, a first network element, and a second network element, wherein the second network element is configured to implement the first aspect and any one of the communication methods in the first aspect, the second network element is configured to implement the second aspect, i.e., any one of the communication methods in the second aspect, and the terminal is configured to implement the third aspect and any one of the communication methods in the third aspect.

[0089] In the twelfth aspect, a storage medium is proposed, which stores instructions. When the instructions are executed on a communication device, the communication device executes the communication method of the first aspect and any one of the first aspects, or the communication method of the second aspect and any one of the second aspects, or the communication method of the third aspect and any one of the third aspects.

[0090] In a thirteenth 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 manner of the first aspect or the second aspect.

[0091] In a fourteenth aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the method described in the optional implementation of the first or second aspect.

[0092] In a fifteenth aspect, an embodiment of the present disclosure provides a chip or a chip system, wherein the chip or chip system includes a processing circuit configured to execute the method described in the optional implementation of the first or second aspect.

[0093] It is understandable that the terminal, access network device, first network element, other network elements, core network device, communication system, storage medium, program product, computer program, chip, or chip system involved in each embodiment of the present disclosure are all used to perform the method proposed in the embodiment of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding method and will not be repeated here.

[0094] The present disclosure provides a communication method, a communication device, a communication system, and a storage medium. In some embodiments, the terms "communication method," "information processing method," and "communication method" are interchangeable; the terms "communication device," "information processing device," and "communication device" are interchangeable; and the terms "information processing system," and "communication system" are interchangeable.

[0095] 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.

[0096] In each embodiment of the present disclosure, unless otherwise specified or provided for, the terms and / or descriptions between the embodiments are consistent and may be referenced by each other. The technical environments in different embodiments may be combined to form new embodiments based on their inherent logical relationships.

[0097] 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.

[0098] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "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.

[0099] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0100] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0101] 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.

[0102] 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.

[0103] 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 example, if the description object is "information", then the "first information" and "the performance of each AI model" can be the same information or different information, and their contents can be the same or different.

[0104] 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.

[0105] 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.

[0106] 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.

[0107] In some embodiments, devices and equipment can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", etc.

[0108] In some embodiments, "network" can be interpreted as devices included in the network, such as access network equipment, core network equipment, etc.

[0109] In some embodiments, "access network device (AN device)" may also be referred to as "radio access network device (RAN device)", "base station (BS)", "radio base station", "fixed station", and in some embodiments may also be understood as "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission and / or 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)", etc.

[0110] In some embodiments, "terminal" or "terminal device" may be referred to as "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.

[0111] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0112] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0113] 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.

[0114] AI and machine learning will become key features of 6G networks. In 5G, AI and machine learning utilize network data analysis functions (NWDAF) through plug-ins, providing AI algorithms as patching tools. However, this approach suffers from issues such as limited application scenarios, complex data transmission, and low computing resource utilization.

[0115] FIG1a is a schematic diagram of a 5G communication system architecture according to an embodiment of the present disclosure.

[0116] As shown in Figure 1a, service-based interfaces are used within the control plane. The architecture includes the following service-based interfaces and reference points. For example, N1, N2, ..., N9 in Figure 1a are reference points. For example, Nnssf, Nnef, Naf, etc. are all service-based interfaces. NSSF, NEF, etc. in Figure 1a are core network elements, and the plane formed by these core network elements can be considered the control plane. The (R)AN in Figure 1a represents the access network. Reference points show how various network functions interact with each other and how network functions (NFs) in the control plane transmit data or information to other NFs via the control bus.

[0117] FIG1b is a schematic diagram of a data storage architecture for storing unstructured data from any NF, according to an embodiment of the present disclosure. As shown in FIG1b , the 5G system architecture allows any NF to store its unstructured data in an unstructured data storage function (UDSF), such as a UE context, and retrieve it from the UDSF. NFs can share a UDSF to store their respective unstructured data, or each can have its own UDSF. For example, the UDSF can be located near each NF. Nudsf in FIG1b represents a service interface, and N18 represents a reference point.

[0118] FIG1c is a schematic diagram of a data storage architecture according to an embodiment of the present disclosure.

[0119] As shown in Figure 1c, the 5G system architecture allows the unified data management entity (UDM), policy control function entity (PCF), and network element function (NEF) to store data in a unified data repository (UDR). The UDM and PCF store subscription data and policy data, and the NEF stores structured data and application data for exposure, including packet flow descriptions for application detection and application function (AF) request information of multiple UEs.

[0120] FIG1d is a schematic diagram of an architecture for collecting data from any 5GC NF according to an embodiment of the present disclosure.

[0121] As shown in Figure 1d, network data analysis can be performed using NWDAF. The 5G system architecture allows NWDAF to collect data from any 5GC NF.

[0122] FIG. 1e is a schematic diagram of a data collection architecture using data collection coordination according to an embodiment of the present disclosure.

[0123] As shown in Figure 1e, the 5G system architecture allows the NWDAF to collect data from any 5GC NF or operation administration and maintenance (OAM) using the data collection control function (DCCF) with related Ndccf services.

[0124] The current network architecture has limited computing and storage resources available for AI tasks and urgently needs to be expanded.

[0125] FIG1f is a schematic diagram of a communication system architecture according to an embodiment of the present disclosure.

[0126] As shown in FIG1 f , the communication system 100 includes a terminal 101 , a first network element 102 , a second network element 103 , and a third network element 104 .

[0127] 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.

[0128] In some embodiments, the first network element 102 is a core network element, for example, a network intelligent computing function (NICF). The second network element 103 is a core network element, for example, a network data collection function (NDCF). The third network element 104 is a core network element, for example, a network data repository function (NDRF).

[0129] In some embodiments, the NICF includes several functional modules:

[0130] (1) Task computing function. It retrieves data collected by NDCF and stored by NDRF, and then provides model training and inference decisions throughout the AI ​​lifecycle. During task execution, data and signaling exchanges occur between different nodes. Model training uses distributed AI models such as federated learning, split learning, and multi-agent reinforcement learning. NICF acts as a scheduler, collaborating with gNB / UE to split data and models. After training is complete, NICF uses test data from the data plane to make inference decisions and provide results.

[0131] (2) Task scheduling. It is responsible for the control and scheduling of the AI ​​task execution phase, including information collection control and resource management scheduling. Information collection control refers to the ability of the NICF to perceive the computing power load, data processing capacity, AI algorithm model, and channel status information of each network node. It can adjust the AI ​​model and task ratio in real time, or adjust the connection and computing power allocation in real time as the network environment changes.

[0132] (3) Task anchor function. It is responsible for task lifecycle management, completing task deployment, startup, deletion, and monitoring based on task QoS requirements, and regulating task-related connection, computing, data, and algorithm resources to achieve coarse-grained QoS guarantee for task deployment.

[0133] In some embodiments, the communication system 100 may also include other network devices, such as other core network elements, access network devices, etc.

[0134] In some embodiments, the NDCF can obtain real-time network information from different NFs, such as real-time network traffic, network congestion, and illegal access. It can also collect data transmitted by NFs and gNBs. After collecting the data, it can perform preprocessing operations on the data, such as normalization and regularization.

[0135] In some embodiments, NDRF integrates all storage-related functions, such as network repository function (NRF), unified data repository function (UDR), UDSF, and analytical data repository function (ADRF). The information it can store includes user data, such as user registration data, service-related data, NF configuration files, network data, such as network service SLA data, network node load, and computing-related data, such as AI training data, computing power resource status, and location assistance information. It can also store calculation results as historical data and provide them to service consumers, reducing resource waste caused by redundant calculations.

[0136] FIG1g is a schematic diagram of a communication system architecture according to an embodiment of the present disclosure.

[0137] As shown in Figure 1g, the communication system adopts a dual-bus design for the control and data planes. Both the control and user planes utilize new transport protocols. For example, the control plane can use STCP / IP to address latency issues and offer higher reliability than TCP / IP, while the user plane can use UDP / IP to ensure high-volume, low-latency service transmission. The PCF, NSSF, and other components in Figure 1g represent core network equipment, while the RAN represents access network equipment.

[0138] In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

[0139] 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.

[0140] 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.

[0141] In some embodiments, a core network device may be a device including one or more network elements, or may be multiple devices or device groups, each including all or part of the one or more network elements. The network element may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0142] 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.

[0143] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1a, or a portion thereof, but are not limited thereto. The entities shown in FIG1a are illustrative only. The communication system may include all or part of the entities shown in FIG1a, or may include other entities other than those shown in FIG1a. The number and form of the entities may be arbitrary, and the entities may be physical or virtual. The connection relationship between the entities is illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0144] 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).

[0145] FIG2 is a schematic diagram illustrating an interaction of a communication method according to an embodiment of the present disclosure. As shown in FIG2 , the present disclosure embodiment relates to a communication method for use in a communication system 100, the method comprising:

[0146] Step S2101: The first network element 102 sends third information to the second network element 103.

[0147] In some embodiments, the second network element 103 receives the third information sent by the first network element 102 .

[0148] In some embodiments, the third information is used to request the second network element to send resource information and capability information of the terminal.

[0149] In some embodiments, the first network element may also send a message to the terminal requesting reporting of resource information and capability information. Alternatively, after receiving the third message sent by the first network element, the second network element may simply request the terminal to report its resource information and capability information. The resource information and capability information are used to determine the portion of AI tasks to be performed by the terminal. It will be understood that the terminal's resource information may indicate the resources available for the terminal to perform the AI ​​task, and the terminal's capability information may indicate the terminal's ability to perform the AI ​​task. Examples of AI tasks include training AI tasks and reasoning AI tasks.

[0150] In step S2102 , the terminal 101 periodically sends resource information and capability information of the terminal 101 to the second network element 103 .

[0151] In some embodiments, the second network element 103 may receive resource information and capability information of the terminal 101 periodically sent by the terminal 101 .

[0152] In some embodiments, different terminals may periodically report resource and capability information to the second network element. That is, the first network element can request resource and capability information from different terminals. This allows different parts of the AI ​​task to be executed by different terminals, fully utilizing the computing and storage resources of different terminals. The second network element can aggregate the resource and capability information reported by different terminals and send the aggregated resource and capability information to the first network element.

[0153] Step S2103 , the second network element 103 sends first information to the first network element 102 .

[0154] In some embodiments, the first network element 102 receives first information sent by the second network element 103 .

[0155] In some embodiments, the first information includes resource information and capability information of the terminal, and the resource information and capability information are used to determine part of the AI ​​tasks to be performed by the terminal.

[0156] In some embodiments, there may be one or more terminals. The first network element may obtain capability information and resource information for one terminal, or for multiple terminals. This allows for subsequent determination of a portion of AI tasks to be executed by one terminal, or for determination of portions of AI tasks to be executed by multiple terminals, to fully utilize the computing and storage resources of the terminals.

[0157] In step S2104 , the first network element 102 determines some AI tasks to be executed by the terminal 101 .

[0158] In some embodiments, the first network element may determine part of the AI ​​tasks to be performed by the terminal based on the resource information and capability information of the terminal.

[0159] In some embodiments, the first network element may decompose the AI ​​task into multiple subtasks, that is, decompose the task into multiple partial AI tasks, and generate AI service quality, resource requirements, etc. corresponding to each subtask.

[0160] In some embodiments, the first network element may determine deployment information of the AI ​​task and determine a portion of the AI ​​task to be executed by the terminal based on the deployment information of the AI ​​task and resource information and capability information of the terminal.

[0161] In some embodiments, the deployment information of the AI ​​task includes at least one of the following: description information of the AI ​​task; configuration information of the AI ​​task; quality of service indicator QoAIS of the AI ​​task; Internet Protocol IP address of the input data of the AI ​​task; IP address of the output data of the AI ​​task.

[0162] Optionally, the AI ​​task deployment information may include description information of the AI ​​task. The description information of the AI ​​task is used to describe the characteristics of the AI ​​task. For example, it can be used to describe the type of AI task, the AI ​​function or AI model corresponding to the AI ​​task, etc. Based on the description information of the AI ​​task and the capability information of the terminal, it can be determined whether the terminal is suitable for executing the AI ​​task, or which part of the AI ​​task it is suitable for executing.

[0163] Optionally, the deployment information of the AI ​​task may include configuration information of the AI ​​task. For example, the configuration information of the AI ​​task may include a training model for the AI ​​task, data for the AI ​​task, etc. For example, the portion of the AI ​​task to be executed by the terminal may be determined based on the AI ​​configuration information and the resource information and capability information of the terminal.

[0164] Optionally, the AI ​​task deployment information may include service quality indicators for the AI ​​task, such as energy consumption, latency, overhead, and connection quality caused by the AI ​​task. For example, based on the service quality indicators for the AI ​​task and the terminal's capability information, it can be determined whether the terminal's capabilities can meet the energy consumption, latency, and other requirements caused by the AI ​​task.

[0165] Optionally, the deployment information of the AI ​​task may include the internet protocol (IP) address of the AI ​​task input data. For example, based on the IP address of the input data and the resource information of the terminal, the portion of the AI ​​task that the terminal is suitable for executing may be determined.

[0166] Optionally, the deployment information of the AI ​​task may include the IP address of the AI ​​task output data. For example, based on the IP address of the output data and the resource information of the terminal, the portion of the AI ​​task that the terminal is suitable for executing may be determined.

[0167] In some embodiments, the first network element may send deployment information corresponding to part of the AI ​​tasks to be performed by the terminal to the terminal.

[0168] In some embodiments, the first network element may determine its own portion of the AI ​​task to be performed based on its own capabilities and resources, so as to perform different portions of the AI ​​task simultaneously with the terminal, thereby fully utilizing resources to perform AI tasks and improving efficiency.

[0169] Step S2105 , the first network element 102 sends second information to the terminal 101 .

[0170] In some embodiments, the second network element 103 receives the second information sent by the first network element 102 .

[0171] In some embodiments, the second information is used to indicate a portion of the AI ​​task to be performed by the terminal.

[0172] In some embodiments, the first network element may also send the second information to the second network element, and the second network element may instruct the terminal on part of the AI ​​tasks to be performed.

[0173] In some embodiments, after receiving the second information, the terminal may execute part of the AI ​​task according to the instruction of the second information.

[0174] In some embodiments, the terminal may send a request to the second network element for the AI ​​model and AI training data required for the portion of the AI ​​task to be performed, and the second network element may return the corresponding initial model and training data. The initial model may be understood as an untrained model. The terminal may use the training data to train the initial model.

[0175] In some embodiments, the first network element may send a request to the second network element for the AI ​​model and AI training data required for part of the AI ​​task to be performed, and the second network element may return the corresponding initial model and training data.

[0176] Step S2106 , the second network element 103 sends fourth information to the first network element 102 .

[0177] In some embodiments, the first network element 102 receives fourth information sent by the third network element 103 .

[0178] In some embodiments, the fourth information is used to indicate terminal status information and / or network status information.

[0179] In some embodiments, the terminal state information includes at least one of the following: channel state information (CSI); remaining battery power of the terminal; and link bandwidth resources of the terminal.

[0180] Optionally, the terminal status information may include CSI, which may indicate the terminal's channel status. For example, if the terminal's channel status is good, more or more complex AI tasks may be executed. If the terminal's channel status is poor, better or less complex AI tasks may be executed. This allows the first network element to dynamically adjust task allocation based on the terminal's channel status, reducing load.

[0181] Optionally, the terminal status information may include the remaining battery power of the terminal. For example, the more battery power a terminal has remaining, the more or more complex some AI tasks can be executed. The less battery power a terminal has remaining, the fewer or less complex some AI tasks can be executed. This avoids the situation where executing some AI tasks when the terminal battery power is low causes increased power consumption, which in turn causes the terminal battery power to decrease faster. For another example, when the remaining battery power of the terminal falls below a threshold, the execution of some AI tasks may be stopped.

[0182] Optionally, the terminal status information may include terminal link bandwidth resources. For example, when the terminal link bandwidth resources are good, more or more complex AI tasks can be executed; when the terminal link bandwidth resources are poor, fewer or less complex AI tasks can be executed.

[0183] In some embodiments, the terminal status information may be periodically sent by the terminal to the second network element, and the second network element summarizes the terminal status information and sends it to the first network element.

[0184] In some embodiments, the network status information includes at least one of the following: network load; and network congestion information.

[0185] Optionally, the network status information may include network load. For example, when the network load is large, some AI tasks performed by the first network element may be reduced. When the network load is small, the complexity of the tasks performed by the first network element may be increased.

[0186] Optionally, the network status information may include network congestion. The network congestion may indicate the amount of transmitted data or signaling. The greater the amount of transmitted data or signaling, the greater the degree of network congestion. For example, if the network congestion is high, some AI tasks executed by the first network element may be reduced. If the network congestion is low, some AI tasks executed by the network element may be increased.

[0187] In some embodiments, the second network element sends the terminal status information regularly reported by the terminal and the network status information obtained by the second network element to the first network element. The first network element flexibly allocates AI tasks to fully utilize resources, balance the task load of each device and each network node, and improve the service quality of the communication system.

[0188] Step S2107 : The first network element 102 sends the configuration information of the re-determined AI task to the terminal 101 .

[0189] In some embodiments, the terminal 101 receives configuration information of the re-determined AI task sent by the first network element 102 .

[0190] In some embodiments, the first network element may redetermine the configuration information of the AI ​​task. Specifically, the AI ​​task may be re-decomposed based on the terminal status information and the network status information to obtain a new portion of the AI ​​task to be executed by the terminal, determined based on the terminal status information. Furthermore, a new portion of the AI ​​task to be executed by the first network element, determined based on the network status information, may be obtained. The first network element may send the configuration information of the new portion of the AI ​​task to be executed by the terminal to the terminal.

[0191] Step S2108 , the first network element 102 sends the first execution result to the third network element 104 .

[0192] In some embodiments, the third network element 104 receives the first execution result sent by the first network element 102 .

[0193] In some embodiments, the first network element may execute part of the AI ​​task to be executed by the first network element to obtain a first execution result, and may send the first execution result to the third network element so that the third network element can store the first execution result.

[0194] In some embodiments, the third network element 104 may store the first execution result to facilitate related data analysis services and avoid repeated calculations.

[0195] Step S2109 , the terminal 101 sends the second execution result to the third network element 104 .

[0196] In some embodiments, the third network element 104 receives the second execution result sent by the terminal 101 .

[0197] In some embodiments, the terminal may execute a portion of the AI ​​task corresponding to the terminal to obtain a second execution result, and the second execution result may be sent to a third network element so that the third network element can store the second execution result.

[0198] In some embodiments, the third network element may store the second execution result to facilitate related data analysis services and avoid repeated calculations.

[0199] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0200] 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.

[0201] 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.

[0202] The communication method involved in the embodiment of the present disclosure may include at least one of steps S2101 to S2109. For example, step S2103 may be a separate embodiment, step S2106 may be a separate embodiment, and steps S2108 and S2109 may be separate embodiments, but are not limited thereto.

[0203] In some embodiments, step S2101, step S2102, step S2104, step S2105, and step S2107 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0204] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 2 .

[0205] 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 the first network element 102. The method includes:

[0206] Step S3101, sending the third information.

[0207] 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.

[0208] In some embodiments, the first network element 102 sends the third information to the second network element 103, but is not limited thereto. The third information may also be sent to other entities.

[0209] Step S3102, obtaining first information.

[0210] The optional implementation of step S3102 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.

[0211] In some embodiments, the first network element 102 receives the first information sent by the second network element 103, but is not limited thereto and may also receive the first information sent by other entities.

[0212] In some embodiments, the first network element 102 obtains first information specified by a protocol.

[0213] In some embodiments, the first network element 102 obtains the first information from an upper layer(s).

[0214] In some embodiments, the first network element 102 performs processing to obtain the first information.

[0215] In some embodiments, step S3102 is omitted, and the first network element 102 autonomously implements the function indicated by the first information, or the above function is default or by default.

[0216] Step S3103: Determine some AI tasks to be executed by the terminal 101.

[0217] The optional implementation of step S3103 can refer to the optional implementation of step S2104 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0218] Step S3104, sending the second information.

[0219] The optional implementation of step S3104 can refer to the optional implementation of step S2105 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0220] In some embodiments, the first network element 102 sends the second information to the terminal 101, but is not limited thereto and may also send the second information to other entities.

[0221] Step S3105, obtain the fourth information.

[0222] The optional implementation of step S3105 can refer to the optional implementation of step S2106 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0223] In some embodiments, the first network element 102 receives the fourth information sent by the second network element 103, but is not limited thereto and may also receive the fourth information sent by other entities.

[0224] In some embodiments, the first network element 102 obtains fourth information specified by the protocol.

[0225] In some embodiments, the first network element 102 obtains the fourth information from an upper layer(s).

[0226] In some embodiments, the first network element 102 performs processing to obtain the fourth information.

[0227] In some embodiments, step S3105 is omitted, and the first network element 102 autonomously implements the function indicated by the fourth information, or the above function is default or by default.

[0228] Step S3106: Send the configuration information of the re-determined AI task.

[0229] The optional implementation of step S3106 can refer to the optional implementation of step S2107 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0230] In some embodiments, the first network element 102 sends the configuration information of the re-determined AI task to the terminal 101, but is not limited thereto. The configuration information of the re-determined AI task may also be sent to other entities.

[0231] Step S3107: Send the first execution result.

[0232] The optional implementation of step S3107 can refer to the optional implementation of step S2108 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0233] In some embodiments, the first network element 102 sends the first execution result to the third network element 104, but is not limited thereto. The first execution result may also be sent to other entities.

[0234] 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 the first network element 102 and includes:

[0235] Step S3201, obtain first information.

[0236] The optional implementation of step S3201 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.

[0237] In some embodiments, the first network element 102 receives the first information sent by the second network element 103, but is not limited thereto and may also receive the first information sent by other entities.

[0238] In some embodiments, the first network element 102 obtains first information specified by a protocol.

[0239] In some embodiments, the first network element 102 obtains the first information from an upper layer(s).

[0240] In some embodiments, the first network element 102 performs processing to obtain the first information.

[0241] In some embodiments, step S3201 is omitted, and the first network element 102 autonomously implements the function indicated by the first information, or the above function is default or by default.

[0242] In some embodiments, the resource information and capability information of the terminal are periodically sent by the terminal to the second network element.

[0243] In some embodiments, the method further includes determining deployment information of the AI ​​task, and determining a portion of the AI ​​task to be executed by the terminal based on resource information and capability information of the terminal and the deployment information of the AI ​​task.

[0244] In some embodiments, the deployment information of the AI ​​task includes at least one of the following: description information of the AI ​​task; configuration information of the AI ​​task; a quality of service indicator (QoAIS) of the AI ​​task; an Internet Protocol (IP) address of input data of the AI ​​task; and an IP address of output data of the AI ​​task.

[0245] In some embodiments, the method further includes: sending second information to the terminal, where the second information is used to indicate that the terminal is to perform a portion of the AI ​​task.

[0246] In some embodiments, the method further includes: sending third information to the second network element, where the third information is used to request the second network element to send resource information and capability information of the terminal.

[0247] In some embodiments, the method further includes: receiving fourth information sent by the second network element, where the fourth information is used to indicate terminal status information and / or network status information. The terminal status information is periodically sent by the terminal to the second network element.

[0248] In some embodiments, the method further includes: re-determining configuration information of the AI ​​task based on the terminal status information and / or the network status information, and sending the re-determined configuration information of the AI ​​task to the terminal.

[0249] In some embodiments, the terminal status information includes at least one of the following: channel state information (CSI), remaining battery power of the terminal, and link bandwidth resources of the terminal.

[0250] In some embodiments, the network status information includes at least one of the following: network load and network congestion information.

[0251] In some embodiments, the method further includes: determining a portion of the AI ​​task to be executed by the first network element based on resource information and capability information of the first network element and deployment information of the AI ​​task; executing the portion of the AI ​​task to be executed by the first network element to obtain a first execution result; and sending the first execution result to the second network element, for the second network element to store the first execution result.

[0252] FIG4a is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4a , the embodiment of the present disclosure relates to a communication method, which is executed by the second network element 103 and includes:

[0253] Step S4101, obtain third information.

[0254] 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.

[0255] In some embodiments, the second network element 103 receives the third information sent by the first network element 102, but is not limited thereto and may also receive the third information sent by other entities.

[0256] In some embodiments, the second network element 103 obtains third information specified by the protocol.

[0257] In some embodiments, the second network element 103 obtains the third information from upper layer(s).

[0258] In some embodiments, the second network element 103 performs processing to obtain the third information.

[0259] In some embodiments, step S4101 is omitted, and the second network element 103 autonomously implements the function indicated by the third information, or the above function is default or by default.

[0260] Step S4102: Acquire resource information and capability information of terminal 101.

[0261] 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.

[0262] In some embodiments, the second network element 103 receives resource information and capability information of the terminal 101 sent periodically by the terminal 101, but is not limited thereto and may also receive resource information and capability information of the terminal 101 sent by other entities.

[0263] In some embodiments, the second network element 103 obtains resource information and capability information of the terminal 101 specified by the protocol.

[0264] In some embodiments, the second network element 103 obtains resource information and capability information of the terminal 101 from upper layer(s).

[0265] In some embodiments, the second network element 103 performs processing to obtain resource information and capability information of the terminal 101 .

[0266] In some embodiments, step S4102 is omitted, and the second network element 103 autonomously implements the functions indicated by the resource information and capability information of the terminal 101, or the above functions are default or acquiescent.

[0267] Step S4103, sending the first information.

[0268] 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.

[0269] In some embodiments, the second network element 103 sends the first information to the first network element 102, but is not limited thereto, and the first information may also be sent to other entities.

[0270] Step S4104, sending the fourth information.

[0271] The optional implementation of step S4104 can refer to the optional implementation of step S2106 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0272] In some embodiments, the second network element 103 sends the fourth information to the first network element 102, but is not limited thereto, and the fourth information may also be sent to other entities.

[0273] FIG4b is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4b , the embodiment of the present disclosure relates to a communication method, which is executed by the second network element 103 and includes:

[0274] Step S4201, sending the first information.

[0275] The optional implementation of step S4201 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.

[0276] In some embodiments, the second network element 103 sends the first information to the first network element 102, but is not limited thereto, and the first information may also be sent to other entities.

[0277] FIG5a is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG5a, the embodiment of the present disclosure relates to a communication method, which is executed by terminal 101 and includes:

[0278] Step S5101 : Periodically send resource information and capability information of the terminal 101 .

[0279] The optional implementation of step S5101 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.

[0280] In some embodiments, the terminal 101 periodically sends resource information and capability information of the terminal 101 to the second network element 103, but is not limited thereto. The resource information and capability information of the terminal 101 may also be sent to other entities.

[0281] Step S5102, obtaining second information.

[0282] The optional implementation of step S5102 can refer to the optional implementation of step S2105 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0283] In some embodiments, the terminal 101 receives the second information sent by the first network element 102, but is not limited thereto and may also receive the second information sent by other entities.

[0284] In some embodiments, terminal 101 obtains second information specified by the protocol.

[0285] In some embodiments, terminal 101 obtains the second information from upper layer(s).

[0286] In some embodiments, terminal 101 performs processing to obtain the second information.

[0287] In some embodiments, step S5102 is omitted, and the terminal 101 autonomously implements the function indicated by the second information, or the above function is default or acquiescent.

[0288] Step S5103: Obtain configuration information of the re-determined AI task.

[0289] The optional implementation of step S5103 can refer to the optional implementation of step S2107 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0290] In some embodiments, the terminal 101 receives the configuration information of the re-determined AI task sent by the first network element 102, but is not limited thereto. The terminal 101 may also receive the configuration information of the re-determined AI task sent by other entities.

[0291] In some embodiments, the terminal 101 obtains configuration information of the re-determined AI task specified by the protocol.

[0292] In some embodiments, terminal 101 obtains configuration information of the re-determined AI task from upper layer(s).

[0293] In some embodiments, the terminal 101 performs processing to obtain configuration information of the re-determined AI task.

[0294] In some embodiments, step S5103 is omitted, and the terminal 101 autonomously implements the function indicated by the configuration information of the re-determined AI task, or the above function is default or acquiescent.

[0295] Step S5104: Send the second execution result.

[0296] The optional implementation of step S5104 can refer to the optional implementation of step S2109 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0297] In some embodiments, the terminal 101 sends the second execution result to the third network element 104, but is not limited thereto, and the second execution result may also be sent to other entities.

[0298] FIG5b is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG5b, the embodiment of the present disclosure relates to a communication method, which is executed by terminal 101 and includes:

[0299] Step S5201 : Periodically send resource information and capability information of the terminal 101 .

[0300] The optional implementation of step S5201 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 terminal 101 periodically sends resource information and capability information of the terminal 101 to the second network element 103, but is not limited thereto. The resource information and capability information of the terminal 101 may also be sent to other entities.

[0302] FIG6 is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG6 , the embodiment of the present disclosure relates to a communication method, and the method includes:

[0303] Step S6101 : The terminal 101 periodically sends the resource information and capability information of the terminal to the second network element 103 .

[0304] The optional implementation of step S6101 can be found in S2102 of FIG. 2 and other related parts of the embodiment involved in FIG. 2 , which will not be described in detail here.

[0305] Step S6102 , the second network element 103 sends first information to the first network element 102 .

[0306] The optional implementation of step S6102 can be found in S2103 of FIG. 2 and other related parts of the embodiment involved in FIG. 2 , which will not be described in detail here.

[0307] Step S6103: The first network element 102 receives the first information.

[0308] The optional implementation of step S6102 can be found in S2103 of FIG. 2 and other related parts of the embodiment involved in FIG. 2 , which will not be described in detail here.

[0309] In some embodiments, the above method may include the method of the above embodiments related to the communication system 100, the terminal 101, the first network element 102, the second network element 103, and the third network element 104, which will not be repeated here.

[0310] FIG7 is a flow chart of a communication method exemplarily shown in the present disclosure, as follows:

[0311] In some embodiments, a third-party user imports an AI task into the NICF to request the AI ​​task process, along with training and test data, along with the corresponding task description and performance requirements. This is shown in Figure 7, step 1, which represents AI Task Import.

[0312] In some embodiments, the NICF sends a resource and capability information reporting request to the UE and the NDCF, as shown in step 2 of FIG7 , i.e., an Ability / Resource-Reporting Subscribe request.

[0313] In some embodiments, the resource and capability information report request may be sent from the NIFC to the NDCF via a third message.

[0314] In some embodiments, the UE periodically reports its own resource and capability information to the NDCF, as shown in 3 of FIG7 , i.e., capability or resource reporting notification (Ability / Resource-Reporting Notify).

[0315] In some embodiments, the NDCF integrates and aggregates information, such as 4 in FIG. 7 , which is resource or data information aggregation.

[0316] In some embodiments, the NDCF notifies the NICF of the UE's resource and data information, as shown in step 5 of FIG7 , namely, reporting notification.

[0317] In some embodiments, the NICF arranges tasks based on the reported information, decomposes the tasks into multiple subtasks, and generates corresponding QoAIS and resource requirements (see step 6 in FIG7 , namely Task Arrangement).

[0318] In some embodiments, the NICF determines the task deployment information, including the task description, task ID, task configuration information, QoAIS indicators, input and output data IP addresses, etc., and creates a task context. Among them, QoAIS needs to be mapped to the task's QoS indicators, such as energy consumption, latency, overhead, and connection quality. As shown in Figure 7, 7 is Task Deployment.

[0319] In some embodiments, the UE and NICF respectively send requests for the AI ​​model and AI training data required for the task to the NDRF, and the NDRF returns the corresponding initial model and training data, as shown in Figure 7 (8), i.e., Acquire (AI) model / data).

[0320] In some embodiments, each network element independently initiates the AI ​​training task. The UE utilizes local computing power to perform the computational task, while the NICF utilizes network computing resources for training and computation. This is shown in Figure 7, as shown in step 9, which represents the Perform Task.

[0321] In some embodiments, the UE regularly reports its status (including CSI, remaining battery life, link bandwidth resources, etc.) and AI training progress to the NDCF. The NDCF obtains real-time network load and congestion information, aggregates the status information, and sends it to the NICF. This is shown as 10 in Figure 7, which is Status Reporting.

[0322] In some embodiments, NICF dynamically adjusts the allocation of subtask computing power and model training hyperparameters based on the information reported by NDCF and the task QoAIS, as shown in 11 in Figure 7, i.e., Task Adjustment.

[0323] In some embodiments, the NICF sends the adjusted latest task configuration information to the UE, as shown in 12 in FIG7 , namely, task and resource configuration modify.

[0324] In some embodiments, after completing the task, the UE transmits the result to the NICF via NDCF transparent transmission, such as 13 in FIG7 , which is the task execution result (Task Execution Result).

[0325] In some embodiments, the NICF aggregates and summarizes the trained models, performs inference using the test-level data obtained from the NDRF, and sends the results to the NDRF (see 14 in FIG7 , i.e., the inference result).

[0326] In some embodiments, the NDRF stores the training and inference results, converts them into a format, and sends them to third-party users. This concludes the entire collaborative workflow, as shown in 15 in Figure 7, which is the return result.

[0327] Figure 8a is a schematic diagram of the core network element structure proposed in an embodiment of the present disclosure. As shown in Figure 8a, core network element 7100 may include a transceiver module 7101. In some embodiments, transceiver module 7101 is configured to transmit first information from a second network element to a first network element. The first information includes resource information and capability information of a terminal. The resource information and capability information are used to determine a portion of the AI ​​tasks to be executed by the terminal.

[0328] In some embodiments, the resource information and capability information of the terminal are periodically sent by the terminal to the second network element.

[0329] In some embodiments, the core network element further includes a processing module 7102 configured to determine deployment information of the AI ​​task, and to determine a portion of the AI ​​task to be executed by the terminal based on the resource information and capability information of the terminal and the deployment information of the AI ​​task.

[0330] In some embodiments, the deployment information of the AI ​​task includes at least one of the following: description information of the AI ​​task; configuration information of the AI ​​task; a quality of service indicator (QoAIS) of the AI ​​task; an Internet Protocol (IP) address of input data of the AI ​​task; and an IP address of output data of the AI ​​task.

[0331] In some embodiments, the transceiver module 7101 is further used to: send second information to the terminal, where the second information is used to instruct the terminal to execute part of the AI ​​task.

[0332] In some embodiments, the transceiver module 7101 is further used to: send third information to the second network element, where the third information is used to request the second network element to send resource information and capability information of the terminal.

[0333] In some embodiments, the transceiver module 7101 is further configured to receive fourth information sent by the second network element, where the fourth information indicates terminal status information and / or network status information. The terminal status information is periodically sent by the terminal to the second network element.

[0334] In some embodiments, the processing module 7102 is further configured to: re-determine the configuration information of the AI ​​task based on the terminal status information and / or the network status information. The transceiver module 7101 is further configured to: send the re-determined configuration information of the AI ​​task to the terminal.

[0335] In some embodiments, the terminal status information includes at least one of the following: channel state information (CSI), remaining battery power of the terminal, and link bandwidth resources of the terminal.

[0336] In some embodiments, the network status information includes at least one of the following: network load and network congestion information.

[0337] In some embodiments, the processing module 7102 is further configured to: determine, based on the resource information and capability information of the first network element and the deployment information of the AI ​​task, a portion of the AI ​​task to be executed by the first network element; execute the portion of the AI ​​task to be executed by the first network element to obtain a first execution result; and the transceiver module 7101 is further configured to: send the first execution result to the second network element, so that the second network element stores the first execution result.

[0338] Figure 8b is a schematic diagram of the core network element structure proposed in an embodiment of the present disclosure. As shown in Figure 8b, core network element 7200 may include a transceiver module 7201. Transceiver module 7201 is configured to send first information to a first network element. The first information includes resource information and capability information of a terminal. The resource information and capability information are used to determine the portion of AI tasks to be executed by the terminal.

[0339] In some embodiments, the transceiver module 7201 is further used to receive resource information and capability information of the terminal sent periodically by the terminal.

[0340] In some embodiments, the portion of the AI ​​tasks to be performed by the terminal is determined based on resource information and capability information of the terminal, as well as deployment information of the AI ​​tasks.

[0341] In some embodiments, the deployment information of the AI ​​task includes at least one of the following: description information of the AI ​​task; configuration information of the AI ​​task; a quality of service indicator (QoAIS) of the AI ​​task; an Internet Protocol (IP) address of input data of the AI ​​task; and an IP address of output data of the AI ​​task.

[0342] In some embodiments, the transceiver module 7201 is further used to: receive third information sent by the first network element, where the third information is used to request the second network element to send resource information and capability information of the terminal.

[0343] In some embodiments, the transceiver module 7201 is further configured to: send fourth information to the first network element, where the fourth information is used to indicate terminal status information and / or network status information. The terminal status information is periodically sent by the terminal to the second network element.

[0344] In some embodiments, the terminal status information and / or the network status information is used by the first network element to redetermine configuration information of the AI ​​task.

[0345] In some embodiments, the terminal status information includes at least one of the following: channel state information (CSI), remaining battery power of the terminal, and link bandwidth resources of the terminal.

[0346] In some embodiments, the network status information includes at least one of the following: network load and network congestion information.

[0347] Figure 8c is a schematic diagram of the structure of a terminal proposed in an embodiment of the present disclosure. As shown in Figure 8c, terminal 7300 may include a transceiver module 7301. Transceiver module 7301 is configured to periodically send resource information and capability information of the terminal to a second network element. The resource information and capability information are used to determine the portion of AI tasks to be executed by the terminal.

[0348] In some embodiments, the portion of the AI ​​tasks to be performed by the terminal is determined based on resource information and capability information of the terminal, as well as deployment information of the AI ​​tasks.

[0349] In some embodiments, the deployment information of the AI ​​task includes at least one of the following: description information of the AI ​​task; configuration information of the AI ​​task; a quality of service indicator (QoAIS) of the AI ​​task; an Internet Protocol (IP) address of input data of the AI ​​task; and an IP address of output data of the AI ​​task.

[0350] In some embodiments, the transceiver module 7301 is further used to: receive second information sent by the first network element, where the second information is used to indicate a portion of the AI ​​task to be executed by the terminal.

[0351] In some embodiments, the transceiver module 7301 is further used to: periodically send terminal status information to the second network element.

[0352] In some embodiments, the terminal status information is used by the first network element to redetermine configuration information of the AI ​​task.

[0353] In some embodiments, the terminal status information includes at least one of the following: channel state information (CSI), remaining battery power of the terminal, and link bandwidth resources of the terminal.

[0354] In some embodiments, the terminal 7300 further includes a processing module 7302 configured to execute a portion of the AI ​​task to be executed by the terminal to obtain a second execution result. The transceiver module 7301 is further configured to send the second execution result to a third network element for the third network element to store the second execution result.

[0355] Figure 9a is a schematic diagram of the structure of a communication device 8100 proposed in an embodiment of the present disclosure. Communication device 8100 can be a network device, a terminal, a chip, a chip system, or a processor that supports a network device in implementing any of the above methods, or a chip, a chip system, or a processor that supports a terminal in implementing any of the above methods. Optionally, the network device can be an access network device, a core network device, or the like. Optionally, the terminal can be a user equipment, or the like. Communication device 8100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

[0356] As shown in Figure 9a, communication device 8100 includes one or more processors 8101. Processor 8101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, while the central processing unit can be used to control the communication device, execute programs, and process program data. Communication device 8100 is used to perform any of the above methods. Optionally, the communication device can be a base station, a baseband chip, a terminal device, a terminal device chip, a DU or CU, etc.

[0357] In some embodiments, the communication device 8100 further includes one or more memories 8102 for storing instructions. Optionally, all or part of the memories 8102 may be located outside the communication device 8100.

[0358] In some embodiments, the communication device 8100 further includes one or more transceivers 8103. When the communication device 8100 includes one or more transceivers 8103, the transceiver 8103 performs the communication step S2101 such as sending and / or receiving in the above method, and the processor 8101 performs other steps.

[0359] 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.

[0360] In some embodiments, the communication device 8100 may include one or more interface circuits 8104. Optionally, the interface circuit 8104 is connected to the memory 8102. The interface circuit 8104 may be configured to receive signals from the memory 8102 or other devices, and may be configured to send signals to the memory 8102 or other devices. For example, the interface circuit 8104 may read instructions stored in the memory 8102 and send the instructions to the processor 8101.

[0361] The communication device 8100 described in the above embodiment may be a network device or a terminal, but the scope of the communication device 8100 described in the present disclosure is not limited thereto, and the structure of the communication device 8100 may not be limited by FIG. 9a. 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.

[0362] FIG9 b is a schematic diagram of the structure of the chip 8200 proposed in an embodiment of the present disclosure. If the communication device 8100 can be a chip or a chip system, please refer to the schematic diagram of the structure of the chip 8200 shown in FIG9 b , but the present disclosure is not limited thereto.

[0363] The chip 8200 includes one or more processors 8201 , and the chip 8200 is configured to execute any of the above methods.

[0364] In some embodiments, the chip 8200 further includes one or more interface circuits 8202. Optionally, the interface circuit 8202 is connected to the memory 8203. The interface circuit 8202 can be used to receive signals from the memory 8203 or other devices, and can be used to send signals to the memory 8203 or other devices. For example, the interface circuit 8202 can read instructions stored in the memory 8203 and send the instructions to the processor 8201.

[0365] In some embodiments, the interface circuit 8202 executes the communication step S2101 of sending and / or receiving in the above method, and the processor 8201 executes other steps.

[0366] In some embodiments, terms such as interface circuit, interface, transceiver pin, and transceiver may be used interchangeably.

[0367] In some embodiments, the chip 8200 further includes one or more memories 8203 for storing instructions. Alternatively, all or part of the memories 8203 may be outside the chip 8200.

[0368] The present disclosure also proposes a storage medium having instructions stored thereon, which, when executed on the communication device 8100, causes the communication device 8100 to execute any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto, and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto, and may also be a temporary storage medium.

[0369] The present disclosure also provides a program product, which, when executed by the communication device 8100, enables the communication device 8100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0370] 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 is executed by a first network element, and the method includes: Receiving first information sent by a second network element, where the first information includes resource information and capability information of a terminal, and the resource information and capability information are used to determine part of the AI tasks to be executed by the terminal.

2. The method according to claim 1, wherein The resource information and capability information of the terminal are regularly sent by the terminal to the second network element.

3. The method according to claim 1, characterized in that The method further includes: Determining deployment information of the AI tasks; Based on the resource information and capability information of the terminal, and the deployment information of the AI tasks, determining part of the AI tasks to be executed by the terminal.

4. The method according to claim 2, wherein The deployment information of the AI tasks includes at least one of the following: Description information of the AI tasks; Configuration information of the AI tasks; Quality of service indicator QoAIS of the AI tasks; Internet Protocol IP address of the input data of the AI tasks; IP address of the output data of the AI tasks.

5. The method according to any one of claims 1 to 3, characterized in that The method further includes: Sending second information to the terminal, where the second information is used to indicate part of the AI tasks to be executed by the terminal.

6. The method according to claim 1, characterized in that, The method further includes: Sending third information to the second network element, where the third information is used to request the second network element to send the resource information and capability information of the terminal.

7. The method according to claim 1, wherein The method further includes: Receiving fourth information sent by the second network element, where the fourth information is used to indicate terminal status information and / or network status information; Wherein, the terminal status information is regularly sent by the terminal to the second network element.

8. The method according to claim 6, wherein The method further includes: Based on the terminal status information and / or network status information, re-determining the configuration information of the AI tasks; Sending the re-determined configuration information of the AI tasks to the terminal.

9. The method according to any one of claims 6-7, characterized in that, The terminal status information includes at least one of the following: Channel state information CSI; Remaining battery power of the terminal; Terminal link bandwidth resources.

10. The method according to any one of claims 6-7, characterized in that, The network status information includes at least one of the following: Network load; Network congestion situation information.

11. The method according to claim 1, wherein The method further includes: Based on the resource information and capability information of the first network element, and the deployment information of the AI tasks, determining part of the AI tasks to be executed by the first network element; Executing part of the AI tasks to be executed by the first network element to obtain a first execution result; Sending the first execution result to a third network element for the third network element to store the first execution result.

12. A communication method, characterized in that, The method is executed by a second network element, and the method includes: Sending first information to the first network element, where the first information includes resource information and capability information of a terminal, and the resource information and capability information are used to determine part of the AI tasks to be executed by the terminal.

13. The method according to claim 12, wherein The method further includes: Receiving the resource information and capability information of the terminal regularly sent by the terminal.

14. The method according to claim 12, wherein Part of the AI tasks to be executed by the terminal is determined based on the resource information and capability information of the terminal, and the deployment information of the AI tasks.

15. The method according to claim 14, characterized in that, The deployment information of the AI tasks includes at least one of the following: Description information of the AI tasks; Configuration information of the AI tasks; Quality of service indicator QoAIS of the AI tasks; Internet Protocol IP address of the input data of the AI tasks; IP address of the output data of the AI tasks.

16. The method according to claim 12, characterized in that, The method further includes: Receive the third information sent by the first network element, where the third information is used to request the second network element to send the resource information and capability information of the terminal.

17. The method according to claim 12, wherein The method further includes: Send the fourth information to the first network element, where the fourth information is used to indicate the terminal status information and / or network status information; Wherein, the terminal status information is regularly sent by the terminal to the second network element.

18. The method according to claim 17, wherein The terminal status information and / or network status information are used by the first network element to re-determine the configuration information of the AI task.

19. The method according to any one of claims 17-18, characterized in that, The terminal status information includes at least one of the following: Channel State Information CSI; Remaining battery power of the terminal; Terminal link bandwidth resource.

20. The method according to any one of claims 17-18, characterized in that, The network status information includes at least one of the following: Network load; Network congestion situation information.

21. A communication method, characterized in that, The method is executed by a terminal, and the method includes: Regularly send the resource information and capability information of the terminal to the second network element, where the resource information and capability information are used to determine the partial AI tasks to be executed by the terminal.

22. The method according to claim 21, wherein The partial AI tasks to be executed by the terminal are determined based on the resource information and capability information of the terminal, and the deployment information of the AI task.

23. The method according to any one of claims 21-22, characterized in that, The deployment information of the AI task includes at least one of the following: Description information of the AI task; Configuration information of the AI task; Quality of Service Index QoAIS of the AI task; Internet Protocol IP address of the input data of the AI task; IP address of the output data of the AI task.

24. The method according to any one of claims 21-23, characterized in that The method further includes: Receive the second information sent by the first network element, where the second information is used to indicate the partial AI tasks to be executed by the terminal.

25. The method according to claim 21, wherein The method further includes: Regularly send the terminal status information to the second network element.

26. The method according to claim 25, wherein The terminal status information is used by the first network element to re-determine the configuration information of the AI task.

27. The method according to any one of claims 21-26, characterized in that, The terminal status information includes at least one of the following: Channel State Information CSI; Remaining battery power of the terminal; Terminal link bandwidth resource.

28. The method according to claim 24, wherein The method further includes: Execute the partial AI tasks to be executed by the terminal to obtain a second execution result; Send the second execution result to the third network element for the third network element to store the second execution result.

29. A communication method, characterized in that, The method includes: The terminal regularly sends the resource information and capability information of the terminal to the second network element, where the resource information and capability information are used to determine the Partial AI tasks to be executed by the terminal; The second network element sends the first information to the first network element, where the first information includes the resource information and capability information of the terminal; The first network element receives the first information.

30. A core network element, characterized in that, Includes: A transceiver module, configured to receive, by the first network element, the first information sent by the second network element, where the first information includes the resource information and capability information of the terminal, and the resource information and capability information are used to determine the partial AI tasks to be executed by the terminal.

31. A core network element, characterized in that, Includes: A transceiver module, configured to send, by the second network element, the first information to the first network element, where the first information includes the resource information and capability information of the terminal, and the resource information and capability information are used to determine the partial AI tasks to be executed by the terminal.

32. A terminal, characterized in that, Includes: A transceiver module, configured to regularly send the resource information and capability information of the terminal to the second network element, where the resource information and capability information are used to determine the partial AI tasks to be executed by the terminal.

33. A core network element, characterized in that Includes: One or more processors; Wherein, the processor is configured to execute the communication method according to any one of claims 1-11.

34. A core network element, characterized in that, Comprising: One or more processors; Wherein, the processor is configured to execute the communication method according to any one of claims 12-20.

35. A terminal, characterized in that, Comprising: One or more processors; Wherein, the processor is configured to execute the communication method according to any one of claims 21-28.

36. A communication system, characterized in that, A terminal, a first network element and a second network element, wherein the first network element is configured to implement the communication method according to any one of claims 1-11, the second network element is configured to implement the communication method according to any one of claims 12-20, and the terminal is configured to implement the communication method according to any one of claims 21-28.

37. A storage medium storing instructions, characterized in that, When the instruction runs on the communication device, the communication device is caused to execute the communication method according to any one of claims 1-11 or 12-20 or 21-28.

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