Artificial intelligence service establishment method, base station, terminal, apparatus and medium

Abstract

The present disclosure provides an artificial intelligence service establishment method, a base station, a terminal, an apparatus, and a medium. The method comprises: on the basis of an artificial intelligence service layer of the base station, determining service configuration information of an artificial intelligence service; on the basis of the service configuration information, establishing a radio bearer of the artificial intelligence service at the base station; and on the basis of air interface signaling, sending the service configuration information to a terminal, the service configuration information being used for establishing a radio bearer of the artificial intelligence service at the terminal.

Description

Artificial intelligence service establishment method, base station, terminal, device and medium

[0001] Cross-reference to Related Applications

[0002] This application claims priority to the Chinese Patent Application No. 202410531936.0, filed on April 29, 2024, and entitled “Artificial intelligence service establishment method, base station, terminal, device and medium”, which is incorporated by reference herein in its entirety. TECHNICAL FIELD

[0003] The present disclosure relates to the field of communication technology, and in particular, to an artificial intelligence service establishment method, a base station, a terminal, a device and a medium. BACKGROUND

[0004] Currently, all services in the 3rd Generation Partnership Project (3GPP) wireless communication network are end-to-end services, and the service establishment process is initiated and completed through NAS (Non-Access Stratum) signaling between the terminal and the core network.

[0005] With the introduction of Artificial Intelligence (AI), Machine Learning (ML) modules are embedded in various nodes of the wireless mobile communication network, including base stations and terminals. Accordingly, base stations and terminals also have model signaling, data processing, edge computing and other functions. In this case, how to establish non-end-to-end endogenous artificial intelligence services between base stations and terminals has become a problem to be solved. SUMMARY

[0006] The present disclosure provides an artificial intelligence service establishment method, a base station, a terminal, a device and a medium to solve the problem of establishing non-end-to-end endogenous artificial intelligence services.

[0007] In a first aspect, the present disclosure provides an artificial intelligence service establishment method applied to a base station, the method comprising:

[0008] determining service configuration information of an artificial intelligence service based on an artificial intelligence service layer of the base station;

[0009] establishing a radio bearer of the artificial intelligence service at the base station based on the service configuration information;

[0010] sending the service configuration information to a terminal based on air interface signaling, the service configuration information being used to establish a radio bearer of the artificial intelligence service at the terminal.

[0011] An artificial intelligence service establishment method is provided according to the present disclosure, and the artificial intelligence service layer is above a radio resource control (RRC) layer;

[0012] The method further includes:

[0013] The method further includes:

[0014] The method further includes:

[0015] An artificial intelligence service establishment method is provided according to the present disclosure, and the artificial intelligence service layer is a function in a radio resource control (RRC) layer;

[0016] The method further includes:

[0017] The method further includes:

[0018] An artificial intelligence service establishment method is provided according to the present disclosure, and the artificial intelligence service layer is above a packet data convergence protocol (PDCP) layer;

[0019] The method further includes:

[0020] The method further includes:

[0021] The method further includes:

[0022] The method further includes:

[0023] An artificial intelligence service establishment method is provided according to the present disclosure, and the artificial intelligence service layer of the base station is configured to determine service configuration information of the artificial intelligence service, including:

[0024] The method further includes:

[0025] According to the artificial intelligence service establishment method provided by the present disclosure, the artificial intelligence service layer based on the base station determines service configuration information of the artificial intelligence service, including:

[0026] In the case of determining to establish the artificial intelligence service based on at least one of the terminal reported information and the base station measured information, the artificial intelligence service layer based on the base station determines the service configuration information of the artificial intelligence service.

[0027] According to the artificial intelligence service establishment method provided by the present disclosure, the service configuration information includes at least one of service information, service configuration effective area, life cycle, model configuration information, and service quality requirement information of the artificial intelligence service.

[0028] In the second aspect, the present disclosure further provides an artificial intelligence service establishment method applied to a terminal, and the method includes:

[0029] Receiving, based on air interface signaling, service configuration information sent by a base station, the service configuration information being determined by an artificial intelligence service layer of the base station and being used for establishing a radio bearer of the artificial intelligence service at the base station;

[0030] Establishing, based on the service configuration information, the radio bearer of the artificial intelligence service at the terminal.

[0031] According to the artificial intelligence service establishment method provided by the present disclosure, the artificial intelligence service layer is above a radio resource control (RRC) layer;

[0032] The service configuration information received based on the air interface signaling includes:

[0033] Receiving RRC signaling sent by the base station and carrying the service configuration information;

[0034] Alternatively, receiving service-specific RRC signaling sent by the base station, the service-specific RRC signaling being used for indicating the service configuration information.

[0035] According to the artificial intelligence service establishment method provided by the present disclosure, the artificial intelligence service layer is a function in a radio resource control (RRC) layer;

[0036] The service configuration information received based on the air interface signaling includes:

[0037] Receiving service-specific RRC signaling sent by the base station, the service-specific RRC signaling being used for indicating the service configuration information.

[0038] According to the artificial intelligence service establishment method provided by the present disclosure, the artificial intelligence service layer is above a packet data convergence protocol (PDCP) layer;

[0039] The service configuration information transmitted by the base station is received based on air interface signaling.

[0040] The service-specific air interface signaling transmitted by the base station is received, and the service-specific air interface signaling is used to indicate the service configuration information, and the service-specific air interface signaling is transmitted based on a dedicated connection of the artificial intelligence service on the air interface.

[0041] The artificial intelligence service establishment method provided by the present disclosure further includes:

[0042] The radio resource configuration information transmitted by the base station is received based on radio resource control (RRC) signaling.

[0043] Based on the radio resource configuration information, radio resources are configured for the artificial intelligence service.

[0044] The artificial intelligence service establishment method provided by the present disclosure further includes:

[0045] An artificial intelligence service request is transmitted to the base station, and the artificial intelligence service request is used to trigger an artificial intelligence service layer at the base station to determine service configuration information of the artificial intelligence service.

[0046] The service configuration information includes at least one of service information of the artificial intelligence service, a service configuration valid area, a life cycle, model configuration information, and service quality requirement information.

[0047] In a third aspect, the present disclosure further provides a base station including a memory, a transceiver, and a processor.

[0048] The memory is used to store a computer program, the transceiver is used to transceive data under the control of the processor, and the processor is used to read the computer program in the memory and perform the following operations:

[0049] Based on an artificial intelligence service layer of the base station, service configuration information of an artificial intelligence service is determined.

[0050] Based on the service configuration information, a radio bearer of the artificial intelligence service is established at the base station.

[0051] The service configuration information is transmitted to a terminal based on air interface signaling, and the service configuration information is used to establish a radio bearer of the artificial intelligence service at the terminal.

[0052] The artificial intelligence service layer is above a radio resource control (RRC) layer.

[0053] The service configuration information is transmitted to a terminal based on air interface signaling, and the service configuration information is used to establish a radio bearer of the artificial intelligence service at the terminal.

[0054] send RRC signaling carrying the service configuration information to the terminal;

[0055] Or, send service-specific RRC signaling to the terminal, the service-specific RRC signaling being used to indicate the service configuration information.

[0056] According to the disclosure, a base station is provided, and the artificial intelligence service layer is a function in a radio resource control (RRC) layer;

[0057] The sending of the service configuration information to the terminal based on the air interface signaling includes:

[0058] The sending of the service-specific RRC signaling to the terminal is used to indicate the service configuration information.

[0059] According to the disclosure, a base station is provided, and the artificial intelligence service layer is above a packet data convergence protocol (PDCP) layer;

[0060] The sending of the service configuration information to the terminal based on the air interface signaling includes:

[0061] The sending of the service-specific air interface signaling to the terminal is used to indicate the service configuration information, and the service-specific air interface signaling is transmitted over the air interface based on a dedicated connection of the artificial intelligence service.

[0062] According to the disclosure, a base station is provided, and the base station further includes:

[0063] The sending of the radio resource configuration information to the terminal based on the radio resource control (RRC) signaling is used to trigger the terminal to configure radio resources for the artificial intelligence service.

[0064] According to the disclosure, a base station is provided, and the base station determines service configuration information of an artificial intelligence service based on an artificial intelligence service layer of the base station, including:

[0065] In a case where the base station receives an artificial intelligence service request sent by a terminal, the base station determines service configuration information of an artificial intelligence service based on the artificial intelligence service layer.

[0066] According to the disclosure, a base station is provided, and the base station determines service configuration information of an artificial intelligence service based on an artificial intelligence service layer of the base station, including:

[0067] In a case where the base station determines to establish an artificial intelligence service based on at least one of terminal reported information and base station measured information, the base station determines service configuration information of an artificial intelligence service based on an artificial intelligence service layer of the base station.

[0068] According to a base station provided in this disclosure, the service configuration information includes at least one of the following: service information of the artificial intelligence service, service configuration effective area, lifecycle, model configuration information, and service quality requirement information.

[0069] Fourthly, this disclosure also provides a terminal, including a memory, a transceiver, and a processor;

[0070] A memory for storing computer programs; a transceiver for sending and receiving data under the control of the processor; and a processor for reading the computer programs from the memory and performing the following operations:

[0071] Based on air interface signaling, the service configuration information sent by the base station is received. The service configuration information is determined by the artificial intelligence service layer of the base station and used to establish the radio bearer of the artificial intelligence service at the base station.

[0072] Based on the service configuration information, a wireless bearer for artificial intelligence services is established at the terminal.

[0073] According to a terminal provided in this disclosure, the artificial intelligence service layer is located above the radio resource control (RRC) layer;

[0074] The service configuration information received from the base station based on air interface signaling includes:

[0075] Receive RRC signaling carrying the service configuration information sent by the base station;

[0076] Alternatively, the service-specific RRC signaling sent by the base station can be received, which is used to indicate the service configuration information.

[0077] According to a terminal provided in this disclosure, the artificial intelligence service layer is a function in the Radio Resource Control (RRC) layer;

[0078] The service configuration information received from the base station based on air interface signaling includes:

[0079] The service-specific RRC signaling sent by the base station is received. The service-specific RRC signaling is used to indicate the service configuration information.

[0080] According to a terminal provided in this disclosure, the artificial intelligence service layer is located above the Packet Data Convergence Protocol (PDCP) layer;

[0081] The service configuration information received from the base station based on air interface signaling includes:

[0082] The system receives service-specific air interface signaling sent by the base station. The service-specific air interface signaling is used to indicate the service configuration information. The service-specific air interface signaling is transmitted over the air interface based on the dedicated connection of the artificial intelligence service.

[0083] The terminal provided by the present disclosure further includes:

[0084] The wireless resource configuration information transmitted by the base station is received based on radio resource control (RRC) signaling.

[0085] The wireless resource is configured for the artificial intelligence service based on the wireless resource configuration information.

[0086] The terminal provided by the present disclosure further includes:

[0087] The artificial intelligence service request is transmitted to the base station, and the artificial intelligence service request is used to trigger the artificial intelligence service layer of the base station to determine the service configuration information of the artificial intelligence service.

[0088] The service configuration information includes at least one of the service information, the service configuration effective area, the life cycle, the model configuration information, and the quality of service requirement information of the artificial intelligence service.

[0089] In a fifth aspect, the present disclosure further provides an artificial intelligence service establishment apparatus applied to a base station, and the apparatus includes:

[0090] The configuration determination unit is configured to determine the service configuration information of the artificial intelligence service based on the artificial intelligence service layer of the base station.

[0091] The base station configuration unit is configured to establish the wireless bearer of the artificial intelligence service at the base station based on the service configuration information.

[0092] The configuration transmission unit is configured to transmit the service configuration information to a terminal based on air interface signaling, and the service configuration information is used to establish the wireless bearer of the artificial intelligence service at the terminal.

[0093] In a sixth aspect, the present disclosure further provides an artificial intelligence service establishment apparatus applied to a terminal, and the apparatus includes:

[0094] The configuration reception unit is configured to receive the service configuration information transmitted by the base station based on air interface signaling, and the service configuration information is determined by the artificial intelligence service layer of the base station and is used to establish the wireless bearer of the artificial intelligence service at the base station.

[0095] The terminal configuration unit is configured to establish the wireless bearer of the artificial intelligence service at the terminal based on the service configuration information.

[0096] In a seventh aspect, the disclosure also provides a non-transitory readable storage medium storing a computer program for causing a processor to perform the artificial intelligence service establishment method according to the first aspect or the artificial intelligence service establishment method according to the second aspect.

[0097] In an eighth aspect, the disclosure also provides a communication device storing a computer program for causing the communication device to perform the artificial intelligence service establishment method according to the first aspect or the artificial intelligence service establishment method according to the second aspect.

[0098] In a ninth aspect, the disclosure also provides a processor-readable storage medium storing a computer program for causing a processor to perform the artificial intelligence service establishment method according to the first aspect or the artificial intelligence service establishment method according to the second aspect.

[0099] In a tenth aspect, the disclosure also provides a chip product storing a computer program for causing the chip product to perform the artificial intelligence service establishment method according to the first aspect or the artificial intelligence service establishment method according to the second aspect.

[0100] The artificial intelligence service establishment method, the base station, the terminal, the device and the medium provided by the disclosure provide an implementation scheme for the establishment of the artificial intelligence service between the base station and the terminal. BRIEF DESCRIPTION OF DRAWINGS

[0101] In order to more clearly illustrate the technical solutions in the disclosure or the related art, the drawings needed in the embodiments or the related art description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the disclosure, and other drawings can be obtained by those skilled in the art without creative labor.

[0102] FIG. 1 is a flow diagram of the artificial intelligence service establishment method provided by the disclosure;

[0103] FIG. 2 is a schematic diagram of the setting architecture of the artificial intelligence service layer provided by the disclosure;

[0104] FIG. 3 is a schematic diagram of the setting architecture of the artificial intelligence service layer provided by the disclosure;

[0105] Figure 4 is a flowchart of the method of establishing an artificial intelligence service according to the present disclosure;

[0106] Figure 5 is a flowchart of the method of establishing an artificial intelligence service according to the present disclosure;

[0107] Figure 6 is a flowchart of the method of establishing an artificial intelligence service according to the present disclosure;

[0108] Figure 7 is a flowchart of the method of establishing an artificial intelligence service according to the present disclosure;

[0109] Figure 8 is a structural diagram of a base station according to the present disclosure;

[0110] Figure 9 is a structural diagram of a terminal according to the present disclosure;

[0111] Figure 10 is a structural diagram of an artificial intelligence service establishing apparatus according to the present disclosure;

[0112] Figure 11 is a structural diagram of an artificial intelligence service establishing apparatus according to the present disclosure. DETAILED DESCRIPTION

[0113] For the purpose, technical solutions and advantages of the present disclosure to be clearer, the technical solutions in the present disclosure will be described clearly and completely below with reference to the drawings in the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by a person of ordinary skill in the art without any creative work fall within the protection scope of the present disclosure.

[0114] The service in a 3GPP wireless mobile communication network is an end-to-end service, and the service establishing process is initiated and completed between a terminal and a core network through NAS signaling.

[0115] For example, the service establishing process initiated by a terminal in an RRC (Radio Resource Control) Idle state includes:

[0116] When the terminal needs to initiate a service request, the terminal initiates an RRC connection establishing process with a base station, and sends a NAS connection request message (Service Request) to the core network through NAS direct transmission carried in RRC signaling, so that the core network establishes a service connection with the terminal. Then, the core network sends the service connection and service related information to the base station, and the base station establishes a service bearer RB (Radio Bearer) with the terminal to carry the service according to the service connection and service related information, and notifies the terminal through an RRC reconfiguration message.

[0117] In addition, the service establishment process initiated by the network side includes:

[0118] The core network triggers the base station to initiate paging to the terminal. After the base station pages the terminal, the terminal initiates RRC connection establishment, and then completes the service establishment between the terminal and the core network through NAS signaling by NAS signaling bearing.

[0119] As can be seen from the above, whether the terminal initiates or the network side initiates the endogenous service establishment process, it is initiated and completed between the terminal and the core network through NAS signaling.

[0120] With the introduction of artificial intelligence, machine learning modules are embedded in various nodes of wireless mobile communication networks, including base stations and terminals. Accordingly, the base station and the terminal have model signaling, data processing, edge computing and other functions.

[0121] In order to meet the intelligent control and data information interaction generated by artificial intelligence services, the base station and the terminal can complete the service type instead of end-to-end service. The service generated by the application of artificial intelligence in the wireless mobile communication network, i.e. artificial intelligence service, is one of the typical examples of endogenous service.

[0122] Here, the characteristics of endogenous service are that the starting point and the ending point of the service are in the mobile communication system, and it does not directly provide services for end users, but is built to solve complex problems or improve performance of the mobile communication system.

[0123] Artificial intelligence services include but are not limited to at least one of the following: AI model sharing, AI data (set) sharing, computing power sharing, computing power interaction, cloud processing data sharing, intelligent task segmentation.

[0124] However, the establishment of endogenous services in the related art is realized between the terminal and the core network, and the wireless mobile communication network does not support triggering and establishing endogenous artificial intelligence services between the base station and the terminal.

[0125] To solve this problem, the embodiments of the present disclosure provide an artificial intelligence service establishment method for establishing artificial intelligence services between the base station and the terminal.

[0126] Figure 1 is one of the flow diagrams of the artificial intelligence service establishment method provided by the present disclosure, as shown in Figure 1, the method is applied to the base station, and the method includes the following steps:

[0127] Step 110, based on the artificial intelligence service layer of the base station, determining the service configuration information of the artificial intelligence service.

[0128] Specifically, to implement establishment of an artificial intelligence service between a base station and a terminal, an artificial intelligence service layer can be set at the base station and the terminal. The artificial intelligence service layer can also be referred to as an artificial intelligence service protocol layer (AIS), responsible for triggering and generating an artificial intelligence service configuration, thereby implementing establishment of an artificial intelligence service in an access network and process management of the artificial intelligence service.

[0129] The artificial intelligence service layer at the base station can be used to generate service configuration information of an artificial intelligence service to be established. That is, the artificial intelligence service layer at the base station has the function of generating service configuration information of an artificial intelligence service and can be used to determine the service configuration information. For example, the base station can apply an entity of the artificial intelligence service layer to implement generation of service configuration information of an artificial intelligence service. The service configuration information herein includes various configurations required for establishing an artificial intelligence service, for example, can include a type of an artificial intelligence service, an identifier of an artificial intelligence service, or can also include a service configuration effective area of an artificial intelligence service, a life cycle of an artificial intelligence service, and can also include related configuration information of an artificial intelligence model applied by an artificial intelligence service, for example, an identifier, a use, input and output, computing power, and the like of the model, and can also include quality of service requirement information of an artificial intelligence service, which is not specifically limited in the embodiments of the present disclosure.

[0130] The step 110 can be triggered in a case where the base station determines by itself that an artificial intelligence service needs to be established, can be triggered after the base station receives a request for establishing an artificial intelligence service sent by a terminal, or can be triggered after the base station receives the request for establishing an artificial intelligence service sent by the terminal and the base station determines by itself that an artificial intelligence service needs to be established, which is not specifically limited in the embodiments of the present disclosure.

[0131] In step 120, a radio bearer of an artificial intelligence service is established at the base station based on the service configuration information.

[0132] Specifically, after obtaining the service configuration information of an artificial intelligence service determined by the artificial intelligence service layer at the base station, the base station can establish an artificial intelligence service at the base station based on the service configuration information.

[0133] Here, the establishment of the artificial intelligence service at the base station specifically refers to establishing a radio bearer of the artificial intelligence service at the base station based on the service configuration information. Here, the radio bearer established for the artificial intelligence service, i.e., the dedicated radio bearer of the artificial intelligence service, can specifically be an RB or a DRB (Data Radio Bearer). It can be understood that the radio bearer of the artificial intelligence service thus established can be used to carry the wireless transmission of the service flow corresponding to the artificial intelligence service. Here, the service flow, i.e., the data flow form of the endogenous artificial intelligence service between the base station and the data.

[0134] In step 130, the base station sends the service configuration information to the terminal based on air interface signaling, where the service configuration information is used to establish a radio bearer of the artificial intelligence service at the terminal.

[0135] Specifically, after obtaining the service configuration information for the artificial intelligence service determined by the artificial intelligence service layer at the base station, the base station can send the service configuration information to the terminal through air interface signaling. Here, the air interface signaling used to send the service configuration information can be RRC signaling or other types of air interface signaling for the artificial intelligence service, which is not specifically limited in the embodiments of the present disclosure.

[0136] Correspondingly, the terminal can receive the service configuration information sent by the base station through air interface signaling. After receiving the service configuration information, the terminal can establish a radio bearer of the artificial intelligence service at the terminal based on the service configuration information.

[0137] At this point, the base station and the terminal have each established a radio bearer for the artificial intelligence service, and the artificial intelligence service implemented between the base station and the terminal is thus established. After that, the base station and the terminal can transmit data and / or instructions of the artificial intelligence service based on the radio bearers established for the artificial intelligence service.

[0138] It should be noted that the embodiments of the present disclosure do not limit the execution order of steps 120 and 130, and steps 120 and 130 can be executed synchronously, or step 120 can be executed before or after step 130.

[0139] The method provided by the embodiments of the present disclosure provides a solution for the establishment of the artificial intelligence service between the base station and the terminal, in which the base station determines the service configuration information of the artificial intelligence service based on the artificial intelligence service layer, establishes a radio bearer of the artificial intelligence service at the base station based on the service configuration information, and sends the service configuration information to the terminal, and the terminal establishes a radio bearer of the artificial intelligence service at the terminal based on the service configuration information.

[0140] Based on the above embodiments, the artificial intelligence service layer is above the radio resource control (RRC) layer.

[0141] Specifically, FIG. 2 is one of the setting architecture diagrams of the artificial intelligence service layer provided by the present disclosure, as shown in FIG. 2, an artificial intelligence service layer is set at the terminal (User Equipment, UE) and the base station (next Generation NodeB, gNB) respectively, that is, AIS (AI Service) in FIG. 2. And at the terminal and the base station, the artificial intelligence service layer can be set above the RRC layer.

[0142] For the case that the artificial intelligence service layer is above the RRC layer, in step 130, the method further includes:

[0143] sending the RRC signaling carrying the service configuration information to the terminal;

[0144] Or, sending the service-specific RRC signaling to the terminal, the service-specific RRC signaling being used to indicate the service configuration information.

[0145] Specifically, for the case that the artificial intelligence service layer is above the RRC layer, the base station can use the RRC signaling as the air interface signaling for transmitting the service configuration information of the artificial intelligence service.

[0146] And the way of sending the service configuration information of the artificial intelligence service to the terminal through the RRC signaling can be any one of the following two ways:

[0147] One of them is to send the RRC signaling carrying the service configuration information to the terminal. That is, the existing RRC signaling can be used as a carrier of the service configuration information to provide transparent transmission service for the service configuration information, thereby realizing lossless transmission of the service configuration information. For example, the service configuration information can be carried through DLInformationTransfer to send the service configuration information to the terminal; or the service configuration information can be carried through ULInformationTransfer to send the service configuration information to the terminal; for another example, the service configuration information can be carried through the RRC signaling with the same function as DLInformationTransfer or ULInformationTransfer to send the service configuration information to the terminal, which is not limited in the embodiments of the present disclosure.

[0148] The other is to send the service-specific RRC signaling to the terminal. The service-specific RRC signaling here is a newly added RRC signaling that is different from the existing RRC signaling, and the service-specific RRC signaling is specifically used for the artificial intelligence service. The service-specific RRC signaling can indicate the service configuration information, so that the terminal can parse the service configuration information from the service-specific RRC signaling after receiving the service-specific RRC signaling.

[0149] It should be noted that, for the transmission of service-specific RRC signaling over the air interface, the existing SRB (Signaling Radio Bearer) can be used for transmission, or a new SRB can be used for transmission, and the embodiments of the present disclosure do not make specific limitations.

[0150] Based on any of the above embodiments, the artificial intelligence service layer is a function in the radio resource control (RRC) layer.

[0151] Specifically, an artificial intelligence service layer is arranged at the terminal and the base station respectively, and at the terminal and the base station, the artificial intelligence service layer can be arranged inside the RRC layer, that is, the RRC layer can introduce an artificial intelligence service function, and the artificial intelligence service layer can be regarded as a function inside the RRC layer.

[0152] For the case where the artificial intelligence service layer is a function in the RRC layer, in step 130, the service configuration information is sent to the terminal based on the air interface signaling, including:

[0153] The service-specific RRC signaling is sent to the terminal, and the service-specific RRC signaling is used to indicate the service configuration information.

[0154] Specifically, for the case where the artificial intelligence service layer is a function in the RRC layer, the base station can use RRC signaling as air interface signaling for transmitting service configuration information of the artificial intelligence service. Moreover, the RRC signaling for transmitting the service configuration information of the artificial intelligence service is service-specific RRC signaling.

[0155] Here, the service-specific RRC signaling is new RRC signaling that is different from the existing RRC signaling, and the service-specific RRC signaling is specifically used for the artificial intelligence service. The service-specific RRC signaling can indicate the service configuration information, so that the terminal can parse the service configuration information from the service-specific RRC signaling after receiving the service-specific RRC signaling.

[0156] It should be noted that, for the transmission of service-specific RRC signaling over the air interface, the existing SRB (Signaling Radio Bearer) can be used for transmission, or a new SRB can be used for transmission, and the embodiments of the present disclosure do not make specific limitations.

[0157] Based on any of the above embodiments, the artificial intelligence service layer is above the PDCP (Packet Data Convergence Protocol) layer.

[0158] Specifically, FIG. 3 is a schematic diagram of a second setting architecture of the artificial intelligence service layer provided by the present disclosure. As shown in FIG. 3, the artificial intelligence service layer is arranged at the terminal and the base station, i.e., AIS (AI Service) in FIG. 3. In the terminal and the base station, the artificial intelligence service layer can be arranged above the PDCP layer. In this architecture, the artificial intelligence service layer of the terminal and the artificial intelligence service layer of the base station can establish a dedicated connection for the artificial intelligence service to implement data and / or signaling transmission. In addition, the artificial intelligence service layer and the RRC layer in the terminal can interact, and the artificial intelligence service layer and the RRC layer in the base station can also interact.

[0159] For the case that the artificial intelligence service layer is above the PDCP layer, in step 130, the service configuration information is sent to the terminal based on the air interface signaling, including:

[0160] The service-specific air interface signaling is sent to the terminal, the service-specific air interface signaling is used to indicate the service configuration information, and the service-specific air interface signaling is transmitted on the air interface based on the dedicated connection for the artificial intelligence service.

[0161] Specifically, for the case that the artificial intelligence service layer is above the PDCP layer, the base station can send the service configuration information to the terminal through the service-specific air interface signaling.

[0162] Here, the service-specific air interface signaling is a newly added air interface signaling that is different from the RRC signaling, and the service-specific air interface signaling is specifically used for the artificial intelligence service. The service-specific air interface signaling can indicate the service configuration information, so that the terminal can parse the service configuration information from the service-specific air interface signaling after receiving the service-specific air interface signaling. It can be understood that the service-specific air interface signaling here is not the RRC signaling.

[0163] The service-specific air interface signaling can be directly transmitted on the air interface, and the transmission of the service-specific air interface signaling is based on the dedicated connection for the artificial intelligence service and is carried by the SRB of the dedicated connection for the artificial intelligence service.

[0164] It can be understood that the dedicated connection for the artificial intelligence service here is not the RRC connection, and the dedicated connection for the artificial intelligence service can be implemented by the artificial intelligence service layer at the terminal and the base station. The establishment, modification, and release of the dedicated connection for the artificial intelligence service can be achieved through explicit establishment, modification, and release signaling interaction of the dedicated connection for the artificial intelligence service between the terminal and the base station. For example, the establishment signaling of the dedicated connection for the artificial intelligence service can be AIServiceSetupRequest, the modification signaling of the dedicated connection for the artificial intelligence service can be AIServiceSetup, and the release signaling of the dedicated connection for the artificial intelligence service can be AIServiceSetupComplete.

[0165] The SRB of the special connection of the artificial intelligence service can be a newly added SRB, such as SRBx, which is distinguished from the existing SRB; or the SRB of the special connection of the artificial intelligence service can be an SRB specially used for the artificial intelligence service, such as an AI SRB.

[0166] Based on any of the above embodiments, for the case that the artificial intelligence service layer is above the PDCP layer, the method further includes:

[0167] The radio resource configuration information is sent to the terminal based on radio resource control (RRC) signaling, and the radio resource configuration information is used to trigger the terminal to configure radio resources for the artificial intelligence service.

[0168] Specifically, for the case that the artificial intelligence service layer is above the PDCP layer, the artificial intelligence service layer and the RRC layer in the base station can interact, and thus the radio resource configuration information can be sent to the terminal through RRC signaling, thereby assisting in realizing the radio resource and information management of the artificial intelligence service. The radio resource configuration information here can include configuration information of the radio resources specially used for the artificial intelligence service.

[0169] Here, the radio resource configuration information is sent to the terminal through RRC signaling, and specifically, the radio resource configuration information can be sent to the terminal through existing RRC signaling or newly added RRC signaling. For example, an RRC signaling RRCReconfigurationAI can be newly added for the auxiliary configuration of the radio resources of the artificial intelligence service.

[0170] Based on any of the above embodiments, in step 110, the service configuration information of the artificial intelligence service is determined based on the artificial intelligence service layer of the base station, including:

[0171] In the case that the artificial intelligence service request sent by the terminal is received, the service configuration information of the artificial intelligence service is determined based on the artificial intelligence service layer.

[0172] Specifically, the determination of the service configuration information of the artificial intelligence service can be performed under the triggering of the terminal.

[0173] In the case that the terminal judges that there is a demand for artificial intelligence service, the terminal can generate an artificial intelligence service request and send the artificial intelligence service request to the terminal. The artificial intelligence service request here can be RRC signaling or other types of air interface signaling.

[0174] Correspondingly, the base station can receive the artificial intelligence service request sent by the terminal. Under the triggering of the artificial intelligence service request, the base station can determine the service configuration information of the artificial intelligence service to be established based on the artificial intelligence service layer.

[0175] Based on any of the above embodiments, in step 110, the artificial intelligence service layer based on the base station determines the service configuration information of the artificial intelligence service, including:

[0176] In the case of determining to establish an artificial intelligence service based on at least one of the terminal reported information and the base station measurement information, the artificial intelligence service layer based on the base station determines the service configuration information of the artificial intelligence service.

[0177] Specifically, the determination of the service configuration information of the artificial intelligence service can also be triggered in the case where the base station judges that there is a demand for artificial intelligence service.

[0178] The base station can determine whether there is a demand for artificial intelligence service based on at least one of the terminal reported information and / or the base station measurement information, i.e., determine whether it is necessary to establish an artificial intelligence service. Here, the terminal reported information is the information reported by the terminal to the base station, which can be, for example, RRC measurement information; the base station measurement information is the information obtained by the base station itself monitoring and measuring.

[0179] In the case where the base station determines that it is necessary to establish an artificial intelligence service based on at least one of the above terminal reported information and base station measurement information, the artificial intelligence service layer can be triggered to determine the service configuration information of the artificial intelligence service to be established.

[0180] Based on any of the above embodiments, the service configuration information includes at least one of the service information of the artificial intelligence service, the service configuration effective area, the life cycle, the model configuration information, and the quality of service requirement information.

[0181] The service information of the artificial intelligence service is used to reflect the specific content of the artificial intelligence service, and can include at least one of the identification, type, and use case of the artificial intelligence service. The identification of the artificial intelligence service is used to identify the artificial intelligence service to be established, which can be, for example, the ID of the artificial intelligence service, i.e., AI Service ID. The type of the artificial intelligence service can be divided by function, which can be reflected by the AI function identification (Functional ID) to reflect the type of the artificial intelligence service to be established. The use case of the artificial intelligence service can be represented in the form of use case identification, which can be, for example, Usecase ID.

[0182] The service configuration effective area of the artificial intelligence service is a range set according to the demand of the artificial intelligence service. The service configuration effective area can include one or more cells, base stations, or tracking areas (TAs). The service configuration effective area can be used to indicate the range of nodes participating in the artificial intelligence service, that is, can be used to indicate the range of nodes participating in model or data sharing in the artificial intelligence service.

[0183] In some embodiments, the service configuration effective range can specify a service configuration object, and the service configuration object here can be an ID representing a network node or a terminal.

[0184] The life cycle of the artificial intelligence service defines the effective time of the artificial intelligence service, and can specifically include the effective time and termination time of the artificial intelligence service, or can include the effective condition and termination condition of the artificial intelligence service.

[0185] The model configuration information of the artificial intelligence service is used to describe the detailed configuration of the model used by the artificial intelligence service. Specifically, at least one of the model information, model use, indication information of model input and output data, and computing power information required by the model of the model used by the artificial intelligence service can be included.

[0186] The model information can include a model ID, and can also include model details. The model ID is a code or number used to uniquely identify the model. The model details can include a description and parameters of the model.

[0187] The model use can include at least one of training and inference.

[0188] The indication information of the model input and output data can be available dataset information, which can include, for example, the identification and access address of the dataset; can also be data information that needs to be collected, where the data information that needs to be collected can describe the information of the input data required by the model; can also be an output data target object, which defines where the data output by the model should be sent, such as a model library or a specific AI user; and can also be performance monitoring feedback configuration information. The performance monitoring feedback here can be used to configure data for collecting and analyzing the performance of the model.

[0189] The computing power information required by the model reflects the computing resources required for model running, such as the number of cores of CPU (Central Processing Unit) or GPU (Graphics Processing Unit) or memory requirements.

[0190] Quality of Service (QoS) requirement information is used to describe the quality requirement that should be met by the execution of the artificial intelligence service.

[0191] Based on any of the above embodiments, FIG. 4 is a second flowchart of a method for establishing an artificial intelligence service provided by the present disclosure, as shown in FIG. 4, the method is applied to a terminal, and the method includes the following steps:

[0192] At step 410, service configuration information sent by the base station is received based on air interface signaling, the service configuration information is determined by an artificial intelligence service layer of the base station, and is used to establish a radio bearer of the artificial intelligence service at the base station.

[0193] Specifically, to implement the establishment of the non-end-to-end artificial intelligence service between the base station and the terminal, an artificial intelligence service layer can be arranged at the base station and the terminal. The artificial intelligence service layer here can also be referred to as an artificial intelligence service protocol layer (AIS), which is responsible for triggering the artificial intelligence service and generating artificial intelligence service configuration, thereby realizing the establishment of the artificial intelligence service in the access network and the process management of the artificial intelligence service.

[0194] The artificial intelligence service layer at the base station can be used to generate service configuration information of the artificial intelligence service to be established. That is, the artificial intelligence service layer at the base station has the function of generating the service configuration information of the artificial intelligence service, and can be used for determining the service configuration information. For example, the base station can apply an entity of the artificial intelligence service layer to implement the generation of the service configuration information of the artificial intelligence service. The service configuration information here contains various configurations required for establishing the artificial intelligence service, which can include, for example, the type of the artificial intelligence service, the identifier of the artificial intelligence service, or can also include the service configuration effective area of the artificial intelligence service, the life cycle of the artificial intelligence service, and can also include related configuration information of the artificial intelligence model applied by the artificial intelligence service, such as the identifier, purpose, input and output, computing power of the model, and can also include the quality of service requirement information of the artificial intelligence service. The embodiments of the present disclosure do not make specific limitations on this.

[0195] The base station can determine the service configuration information of the artificial intelligence service in the case of self-judgment of the need to establish the artificial intelligence service, the base station can also determine the service configuration information of the artificial intelligence service upon receiving the request of the terminal to establish the artificial intelligence service, and the base station can also determine the service configuration information of the artificial intelligence service in the case of self-judgment of the need to establish the artificial intelligence service after receiving the request of the terminal to establish the artificial intelligence service. The embodiments of the present disclosure do not make specific limitations on this.

[0196] After obtaining the service configuration information for the artificial intelligence service determined by the artificial intelligence service layer at the base station, the base station can establish the artificial intelligence service at the base station based on the service configuration information.

[0197] Here, establishing the artificial intelligence service at the base station specifically means establishing a radio bearer of the artificial intelligence service at the base station based on the service configuration information. Here, the radio bearer established for the artificial intelligence service, that is, the dedicated radio bearer of the artificial intelligence service, can specifically be an RB or a DRB. It can be understood that the radio bearer of the artificial intelligence service thus established can be used to carry the wireless transmission of the service flow corresponding to the artificial intelligence service. Here, the service flow, that is, the data flow form of the endogenous artificial intelligence service between the base station and the data.

[0198] In addition, after obtaining the service configuration information for the artificial intelligence service determined by the artificial intelligence service layer at the base station, the base station will also send the service configuration information to the terminal through air interface signaling. Here, the air interface signaling applied to send the service configuration information can be RRC signaling or other types of air interface signaling for the artificial intelligence service, and the embodiments of the present disclosure do not make specific limitations here.

[0199] Correspondingly, the terminal can receive the service configuration information sent by the base station through air interface signaling.

[0200] Step 420, establishing a radio bearer of the artificial intelligence service at the terminal based on the service configuration information.

[0201] Specifically, after receiving the service configuration information, the terminal can establish a radio bearer of the artificial intelligence service at the terminal based on the service configuration information.

[0202] So far, the base station and the terminal have respectively established a radio bearer for the artificial intelligence service, and the artificial intelligence service implemented between the base station and the terminal is thus established. After that, the base station and the terminal can transmit data and / or instructions of the artificial intelligence service based on the radio bearer respectively established for the artificial intelligence service.

[0203] The method provided by the embodiments of the present disclosure is that the base station determines the service configuration information of the artificial intelligence service based on the artificial intelligence service layer, establishes a radio bearer of the artificial intelligence service at the base station based on the service configuration information, and sends the service configuration information to the terminal, and the terminal establishes a radio bearer of the artificial intelligence service at the terminal based on the service configuration information, thereby providing an implementation scheme for the establishment of the artificial intelligence service between the base station and the terminal.

[0204] Based on any of the above embodiments, the artificial intelligence service layer is above a radio resource control (RRC) layer.

[0205] Specifically, as shown in FIG. 2, an artificial intelligence service layer, namely AIS (AI Service) in FIG. 2, is arranged at the terminal UE and the base station gNB respectively. And at the terminal and the base station, the artificial intelligence service layer can be arranged above the RRC layer.

[0206] For the case that the artificial intelligence service layer is above the RRC layer, in step 410, the service configuration information sent by the base station is received based on air interface signaling, including:

[0207] Receiving RRC signaling sent by the base station carrying the service configuration information;

[0208] Or, receiving service-specific RRC signaling sent by the base station, the service-specific RRC signaling being used to indicate the service configuration information.

[0209] Specifically, for the case that the artificial intelligence service layer is above the RRC layer, the terminal can take the RRC signaling as the air interface signaling for transmitting the service configuration information of the artificial intelligence service.

[0210] And the way of receiving the service configuration information of the artificial intelligence service sent by the base station through the RRC signaling can be any one of the following two ways:

[0211] One of them is to receive RRC signaling sent by the base station carrying the service configuration information. That is, the existing RRC signaling can be taken as a carrier of the service configuration information to provide transparent transmission service for the service configuration information, thereby realizing lossless transmission of the service configuration information. For example, the service configuration information can be carried through DLInformationTransfer, so as to receive the service configuration information sent by the base station; or the service configuration information can be carried through ULInformationTransfer, so as to receive the service configuration information sent by the base station; for another example, the service configuration information can be carried through RRC signaling with the same function as DLInformationTransfer or ULInformationTransfer, so as to receive the service configuration information sent by the base station, which is not specifically limited in the embodiments of the present disclosure.

[0212] The other is to receive service-specific RRC signaling sent by the base station. The service-specific RRC signaling here is a newly added RRC signaling different from the existing RRC signaling, and the service-specific RRC signaling is specifically used for the artificial intelligence service. The service-specific RRC signaling can indicate the service configuration information, so that the terminal can parse the service configuration information from the service-specific RRC signaling after receiving the service-specific RRC signaling.

[0213] It should be noted that, for the transmission of the service-specific RRC signaling in the air interface, the existing SRB can be used for transmission, or a new SRB can be used for transmission, and the embodiments of the present disclosure do not make specific limitations.

[0214] Based on any of the above embodiments, the artificial intelligence service layer is a function in the radio resource control (RRC) layer.

[0215] Specifically, the artificial intelligence service layer is arranged at the terminal and the base station respectively, and the artificial intelligence service layer can be arranged in the RRC layer at the terminal and the base station, that is, the RRC layer can introduce the artificial intelligence service function, and the artificial intelligence service layer can be regarded as a function in the RRC layer.

[0216] For the case that the artificial intelligence service layer is a function in the RRC layer, in step 410, the service configuration information transmitted by the base station is received based on the air interface signaling, including:

[0217] The service-specific RRC signaling transmitted by the base station is received, and the service-specific RRC signaling is used to indicate the service configuration information.

[0218] Specifically, for the case that the artificial intelligence service layer is a function in the RRC layer, the RRC signaling can be used as the air interface signaling for transmitting the service configuration information of the artificial intelligence service at the terminal. Moreover, the RRC signaling for transmitting the service configuration information of the artificial intelligence service is the service-specific RRC signaling.

[0219] Here, the service-specific RRC signaling is a new RRC signaling different from the existing RRC signaling, and the service-specific RRC signaling is specifically used for the artificial intelligence service. The service-specific RRC signaling can indicate the service configuration information, so that the terminal can parse the service configuration information from the service-specific RRC signaling after receiving the service-specific RRC signaling.

[0220] It should be noted that, for the transmission of the service-specific RRC signaling in the air interface, the existing SRB can be used for transmission, or a new SRB can be used for transmission, and the embodiments of the present disclosure do not make specific limitations.

[0221] Based on any of the above embodiments, the artificial intelligence service layer is above the packet data convergence protocol (PDCP) layer.

[0222] Specifically, as shown in FIG. 3, an artificial intelligence service layer, i.e., AIS (AI Service) in FIG. 3, is arranged at the terminal and the base station respectively. And, at the terminal and the base station, the artificial intelligence service layer can be arranged above the PDCP layer. Under this architecture arrangement, the artificial intelligence service layer of the terminal and the artificial intelligence service layer of the base station can establish a dedicated connection for the artificial intelligence service to realize data and / or signaling transmission; in addition, the artificial intelligence service layer and the RRC layer inside the terminal can interact, and the artificial intelligence service layer and the RRC layer inside the base station can also interact.

[0223] For the case that the artificial intelligence service layer is above the PDCP layer, in step 410, the service configuration information sent by the base station is received based on the air interface signaling, including:

[0224] The service-specific air interface signaling sent by the base station is received, and the service-specific air interface instruction is used to indicate the service configuration information.

[0225] Specifically, for the case that the artificial intelligence service layer is above the PDCP layer, the terminal can receive the service configuration information sent by the base station through the service-specific air interface signaling.

[0226] Here, the service-specific air interface signaling is a newly added air interface signaling that is different from the RRC signaling, and the service-specific air interface signaling is specifically used for the artificial intelligence service. The service-specific air interface signaling can indicate the service configuration information, so that the terminal can parse the service configuration information from the service-specific air interface signaling after receiving the service-specific air interface signaling. It can be understood that the service-specific air interface signaling here is not the RRC signaling.

[0227] The service-specific air interface signaling can be directly transmitted on the air interface, and the transmission of the service-specific air interface signaling is realized based on the dedicated connection for the artificial intelligence service, and is carried by the SRB of the dedicated connection for the artificial intelligence service.

[0228] It can be understood that the dedicated connection for the artificial intelligence service here is not the RRC connection, and the dedicated connection for the artificial intelligence service can be realized by the artificial intelligence service layers at the terminal and the base station, and the establishment, modification and release processes of the dedicated connection for the artificial intelligence service can be realized through the explicit establishment, modification and release signaling interaction of the dedicated connection for the artificial intelligence service between the terminal and the base station. For example, the establishment signaling of the dedicated connection for the artificial intelligence service can be AIServiceSetupRequest, the modification signaling of the dedicated connection for the artificial intelligence service can be AIServiceSetup, and the release signaling of the dedicated connection for the artificial intelligence service can be AIServiceSetupComplete.

[0229] The SRB of the special connection of the artificial intelligence service can be a newly added SRB that is distinguished from the existing SRB, for example, SRBx; or the SRB of the special connection of the artificial intelligence service can be an SRB that is specially used for the artificial intelligence service, for example, AI SRB.

[0230] Based on any of the above embodiments, for the case that the artificial intelligence service layer is above the PDCP layer, the method further includes:

[0231] receiving, based on radio resource control (RRC) signaling, radio resource configuration information sent by the base station;

[0232] configuring radio resources for the artificial intelligence service based on the radio resource configuration information.

[0233] Specifically, for the case that the artificial intelligence service layer is above the PDCP layer, the artificial intelligence service layer and the RRC layer in the base station can interact, so that the base station can send the radio resource configuration information to the terminal through RRC signaling, and correspondingly, the terminal can receive the radio resource configuration information sent by the base station through RRC signaling, and implement radio resource and information management of the artificial intelligence service based on the radio resource configuration information. The radio resource configuration information here can include configuration information of radio resources specially used for the artificial intelligence service.

[0234] Here, the radio resource configuration information sent by the base station is received through RRC signaling, which can be received through existing RRC signaling or newly added RRC signaling. For example, an RRC signaling RRCReconfigurationAI can be newly added for auxiliary configuration of the radio resources of the artificial intelligence service.

[0235] Based on any of the above embodiments, the method further includes:

[0236] sending an artificial intelligence service request to the base station, the artificial intelligence service request being used to trigger the artificial intelligence service layer at the base station to determine service configuration information of the artificial intelligence service.

[0237] Specifically, the determination of the service configuration information of the artificial intelligence service can be triggered by the terminal.

[0238] When the terminal determines that there is a demand for artificial intelligence service, the terminal can generate an artificial intelligence service request and send the artificial intelligence service request to the terminal. The artificial intelligence service request here can be RRC signaling or other types of air interface signaling.

[0239] Correspondingly, the base station can receive the artificial intelligence service request sent by the terminal. Under the triggering of the artificial intelligence service request, the base station can determine the service configuration information of the artificial intelligence service to be established based on the artificial intelligence service layer.

[0240] According to any of the above embodiments, the service configuration information includes at least one of service information of the artificial intelligence service, a service configuration effective area, a lifecycle, model configuration information, and quality of service requirement information.

[0241] The service information of the artificial intelligence service is used to reflect the specific content of the artificial intelligence service, and can include at least one of an identifier, a type, and a use case of the artificial intelligence service. The identifier of the artificial intelligence service is used to identify the artificial intelligence service to be established, for example, can be an ID of the artificial intelligence service, i.e., AI Service ID. The type of the artificial intelligence service can be classified by function, for example, the type of the artificial intelligence service to be established can be reflected by an AI function identifier Functional ID. The use case of the artificial intelligence service can be represented in the form of a use case identifier, for example, can be a Usecase ID.

[0242] The service configuration effective area of the artificial intelligence service is a range set according to the requirements of the artificial intelligence service. The service configuration effective area can include one or more cells, base stations, or TA areas. The service configuration effective area can be used to indicate the range of nodes participating in the artificial intelligence service, i.e., can be used to indicate the range of nodes participating in model or data sharing in the artificial intelligence service.

[0243] In some embodiments, the service configuration effective range can specify a service configuration object, and the service configuration object here can be an ID representing a network node or a terminal.

[0244] The lifecycle of the artificial intelligence service defines the effective time of the artificial intelligence service, and can specifically include the effective time and the termination time of the artificial intelligence service, or can include the effective condition and the termination condition of the artificial intelligence service.

[0245] The model configuration information of the artificial intelligence service is used to describe the detailed configuration of the model used by the artificial intelligence service. Specifically, can include at least one of model information, model use, indication information of model input and output data, and computing power information required by the model of the model used by the artificial intelligence service.

[0246] The model information can include a model identifier model ID, and can also include model detailed information. The model identifier is a code or number used to uniquely identify the model. The model detailed information can include the description and parameters of the model.

[0247] The model use can include at least one of training and inference.

[0248] The indication information of the model input and output data can be dataset information that can be available, for example, can include an identification of the dataset, an access address; can also be data information that needs to be collected, where the data information that needs to be collected can describe the information of the input data required by the model; can also be an output data target object, which defines where the data output by the model should be sent, for example, a model library or a specific AI user; and can also be performance monitoring feedback configuration information. The performance monitoring feedback here can be used to configure data for collecting and analyzing the performance of the model.

[0249] The computing power information required by the model reflects the computing resources required for model running, such as the number of cores of CPU or GPU, memory requirements, etc.

[0250] The quality of service requirement information is used to describe the quality requirements that the artificial intelligence service execution should meet.

[0251] Based on any of the above embodiments, FIG. 5 is a third flowchart of the artificial intelligence service establishment method provided by the present disclosure. As shown in FIG. 5, for the case where an artificial intelligence service layer is respectively arranged above the RRC layer at the terminal and the base station, the establishment of the artificial intelligence service can be realized by the base station and the terminal RRC transparently transmitting the service configuration information of the artificial intelligence service.

[0252] For the base station side, the following steps can be included:

[0253] Step 1, the base station receives the artificial intelligence service request sent by the terminal, which can specifically read the artificial intelligence service request from the RRC signaling (for example, the RRC ULInformationTransfer message shown in FIG. 5, which can carry the artificial intelligence service request by adding ULInformationTransfer-IEs dedicated to AIS messages).

[0254] Step 2, the base station analyzes the artificial intelligence service request and generates the service configuration information of the artificial intelligence service based on the artificial intelligence service layer.

[0255] Step 3, the base station performs network side configuration according to the service configuration information of the artificial intelligence service, to realize the establishment of the artificial intelligence service at the base station side. At the same time, the base station organizes an artificial intelligence service response message according to the service configuration information of the artificial intelligence service, and sends the artificial intelligence service response message by carrying it through RRC signaling (for example, the RRC DLInformationTransfer message, which can carry the artificial intelligence service response message by adding DLInformationTransfer-IEs dedicated to AIS messages), and downlink the service configuration information of the artificial intelligence service to the terminal, to trigger the establishment of the artificial intelligence service at the terminal side.

[0256] For the terminal side, the following steps can be included:

[0257] Step 1, the terminal receives the RRC signaling sent by the base station, and reads the artificial intelligence service response message carried by the RRC signaling.

[0258] Step 2, the terminal parses the service configuration information of the artificial intelligence service carried by the artificial intelligence service response message, and performs corresponding configuration, thereby establishing the artificial intelligence service at the terminal.

[0259] In some embodiments, if the terminal cannot complete the configuration or a problem occurs, the terminal needs to feed back specific information of the base station.

[0260] Based on any of the above embodiments, FIG. 6 is a fourth flowchart of the artificial intelligence service establishment method provided by the present disclosure. As shown in FIG. 6, for the case where the artificial intelligence service layer is respectively arranged above the RRC layer at the terminal and the base station, or the case where the artificial intelligence service layer is arranged as a sub-function of the RRC layer in the RRC layer at the terminal and the base station, the establishment of the artificial intelligence service can be realized by applying the newly added RRC signaling to transmit the service configuration information between the base station and the terminal.

[0261] For the base station side, the following steps can be included:

[0262] Step 1, the base station receives the terminal reported information (such as RRC measurement information).

[0263] Step 2, the base station determines whether the AI service needs to be triggered for performance optimization according to the terminal reported information and the base station measurement information, and generates the service configuration information of the artificial intelligence service based on the artificial intelligence service layer in the case where it is determined that the AI service needs to be triggered.

[0264] Step 3, the base station generates a new RRC signaling according to the service configuration information of the artificial intelligence service. For example, an AI Service Setup message is used to establish the AI service, which can be carried by the existing or newly added SRBx, and is suitable for the RLC (Radio Link Control) AM (Acknowledged Mode) mode to ensure reliable transmission, and is mapped to the DCCH (Dedicated Control Channel) logical channel.

[0265] Step 4, the base station performs network side configuration according to the service configuration information, so as to realize the establishment of the artificial intelligence service at the base station side. At the same time, the terminal side is triggered to establish the artificial intelligence service by the base station sending the service configuration information to the terminal through the new RRC signaling.

[0266] For the terminal side, the following steps can be included:

[0267] Step 1, the terminal receives the new RRC signaling sent by the base station.

[0268] Step 2, the terminal parses the service configuration information carried in the new RRC signaling, and performs corresponding configuration, thereby establishing the artificial intelligence service at the terminal.

[0269] In some embodiments, if the configuration is completed, the terminal can feed back a base station reconfiguration completion message, such as an AI Service Setup Complete message, to confirm the successful establishment of the AI service, which can be carried by an existing or newly added SRBx, apply RLC AM mode to ensure reliable transmission, and be mapped to a DCCH logical channel; otherwise, the terminal needs to feed back a base station failure message.

[0270] Based on any of the above embodiments, FIG. 7 is a fifth flowchart of the artificial intelligence service establishment method provided by the present disclosure. As shown in FIG. 7, for the case of setting an artificial intelligence service layer above the PDCP layer at the terminal and the base station respectively, the establishment of the artificial intelligence service can be realized by transmitting service-specific air interface signaling between the base station and the terminal.

[0271] For the base station side, the following steps can be included:

[0272] Step 1, the base station initiates an artificial intelligence service, generates service configuration information of the artificial intelligence service through the artificial intelligence service layer, and performs network side configuration to realize the establishment of the artificial intelligence service at the base station side.

[0273] Step 2, the base station organizes service-specific air interface signaling according to the service configuration information of the artificial intelligence service, and sends it to the terminal.

[0274] The service-specific air interface signaling here can be denoted as an AIS message, which is used to trigger the establishment of the artificial intelligence service at the terminal side. For example, AI Service Setup is used to establish an AI service, which can be carried by an AI SRBx dedicated to the artificial intelligence service, apply RLC AM mode to ensure reliable transmission, and be mapped to an ACCH (Associated Control Channel) logical channel dedicated to the artificial intelligence service.

[0275] In some embodiments, the base station can also organize an RRC message to provide radio resource configuration for the artificial intelligence service. For example, RRCReconfigurationAI message is used to access layer configuration AI RRC connection command, which can be carried by AI SRBx dedicated to the artificial intelligence service, apply RLC AM mode to ensure reliable transmission, and be mapped to an ACCH logical channel dedicated to the artificial intelligence service.

[0276] For the terminal side, the following steps can be included:

[0277] Step 1, the terminal receives the service-specific air interface signaling sent by the base station, parses the service configuration information carried therein, and performs corresponding configuration, thereby establishing an artificial intelligence service at the terminal.

[0278] In addition, the terminal can also organize service-specific air interface signaling to respond to the signaling sent by the base station. For example, AI Service Setup Complete, used to confirm the successful establishment of AI service, can be carried by AI SRBx dedicated to artificial intelligence service, use RLC AM mode to ensure reliable transmission, and be mapped to ACCH logical channel dedicated to artificial intelligence service.

[0279] In some embodiments, the terminal can receive RRC signaling sent by the base station, and based thereon, perform wireless resource configuration and feedback the base station, for example, RRCReconfigurationcompleteAI message, used to confirm the successful completion of AI RRC access layer reconfiguration, can be carried by AI SRBx dedicated to artificial intelligence service, use RLC AM mode to ensure reliable transmission, and be mapped to ACCH logical channel dedicated to artificial intelligence service; otherwise, the terminal needs to feedback the base station failure information.

[0280] Based on any of the above embodiments, FIG. 8 is a structural schematic diagram of a base station provided by the present disclosure, as shown in FIG. 8, the base station comprises a memory 820, a transceiver 810 and a processor 800; wherein the processor 800 and the memory 820 can also be arranged physically separately.

[0281] The memory 820 is used to store a computer program; the transceiver 810 is used to transceive data under the control of the processor 800.

[0282] Specifically, the transceiver 810 is used to receive and send data under the control of the processor 800.

[0283] In FIG. 8, the bus architecture can include any number of interconnected buses and bridges, and various circuit links of one or more processors represented by the processor 800 and the memory represented by the memory 820 are linked together. The bus architecture can also link various other circuits such as peripheral devices, voltage stabilizers and power management circuits, which are well known in the art, and therefore, the present disclosure will not further describe them. The bus interface provides an interface. The transceiver 810 can be a plurality of elements, i.e. including a transmitter and a receiver, providing a unit for communicating with various other devices on a transmission medium, including wireless channels, wired channels, optical cables and other transmission media.

[0284] The processor 800 is responsible for managing the bus architecture and general processing, and the memory 820 can store data used by the processor 800 when performing operations.

[0285] The processor 800 can be a CPU, an ASIC, an FPGA, or a CPLD. The processor can also adopt a multi-core architecture.

[0286] The processor 800 invokes a computer program stored in the memory 820 to execute any method provided by the embodiments of the present disclosure according to the obtained executable instructions, for example:

[0287] Determine service configuration information of the artificial intelligence service based on an artificial intelligence service layer of the base station;

[0288] Establish a radio bearer of the artificial intelligence service at the base station based on the service configuration information;

[0289] Send the service configuration information to the terminal based on air interface signaling, the service configuration information being used to establish a radio bearer of the artificial intelligence service at the terminal.

[0290] In some embodiments, the artificial intelligence service layer is above a radio resource control (RRC) layer;

[0291] The sending of the service configuration information to the terminal based on air interface signaling comprises:

[0292] Sending RRC signaling carrying the service configuration information to the terminal;

[0293] Or, sending service-specific RRC signaling to the terminal, the service-specific RRC signaling being used to indicate the service configuration information.

[0294] In some embodiments, the artificial intelligence service layer is a function in a radio resource control (RRC) layer;

[0295] The sending of the service configuration information to the terminal based on air interface signaling comprises:

[0296] Sending service-specific RRC signaling to the terminal, the service-specific RRC signaling being used to indicate the service configuration information.

[0297] In some embodiments, the artificial intelligence service layer is above a packet data convergence protocol (PDCP) layer;

[0298] The sending of the service configuration information to the terminal based on air interface signaling comprises:

[0299] Sending service-specific air interface signaling to the terminal, the service-specific air interface signaling being used to indicate the service configuration information, the service-specific air interface signaling being transmitted over the air interface based on a dedicated connection of the artificial intelligence service.

[0300] In some embodiments, the method further comprises:

[0301] transmitting, to the terminal, radio resource configuration information based on radio resource control (RRC) signaling, the radio resource configuration information being used to trigger the terminal to configure radio resources for the artificial intelligence service.

[0302] In some embodiments, the artificial intelligence service layer of the base station determines service configuration information of the artificial intelligence service, including:

[0303] In a case where the terminal transmits an artificial intelligence service request, the artificial intelligence service layer of the base station determines service configuration information of the artificial intelligence service.

[0304] In some embodiments, the artificial intelligence service layer of the base station determines service configuration information of the artificial intelligence service, including:

[0305] In a case where the terminal transmits an artificial intelligence service request, the artificial intelligence service layer of the base station determines service configuration information of the artificial intelligence service.

[0306] In some embodiments, the service configuration information includes at least one of service information of the artificial intelligence service, a service configuration valid area, a life cycle, model configuration information, and quality of service requirement information.

[0307] Based on any of the above embodiments, FIG. 9 is a structural schematic diagram of a terminal provided by the present disclosure, as shown in FIG. 9, the terminal includes a memory 920, a transceiver 910, and a processor 900; wherein the processor 900 and the memory 920 can also be arranged physically separately.

[0308] The memory 920 is configured to store a computer program; and the transceiver 910 is configured to transceive data under the control of the processor 900.

[0309] Specifically, the transceiver 910 is configured to receive and transmit data under the control of the processor 900.

[0310] In FIG. 9, the bus architecture can include any number of interconnected buses and bridges, specifically, various circuitry of one or more processors represented by the processor 900 and the memory represented by the memory 920 linked together. The bus architecture can also link various other circuitry such as peripheral devices, voltage regulators, and power management circuitry, which are well known in the art, and thus, the present disclosure will not further describe them. The bus interface provides an interface. The transceiver 910 can be a plurality of elements, i.e., including a transmitter and a receiver, providing a unit for communicating with various other devices on transmission media, including wireless channels, wired channels, optical cables, and the like. The user interface 930 can also be an interface capable of externally connecting the required device for different user devices, including but not limited to a keypad, a display, a speaker, a microphone, a joystick, and the like.

[0311] The processor 900 is responsible for managing the bus architecture and general processing, and the memory 920 can store data used by the processor 900 in performing operations.

[0312] The processor 900 can be a central processing unit (CPU), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or a complex programmable logic device (CPLD), and the processor can also adopt a multi-core architecture.

[0313] The processor 900 is configured to perform any of the methods provided by the embodiments of the present disclosure by invoking the computer program stored in the memory 920 according to the obtained executable instructions, for example:

[0314] receive service configuration information sent by a base station based on air interface signaling, the service configuration information being determined by an artificial intelligence service layer of the base station and being used to establish a radio bearer of an artificial intelligence service at the base station;

[0315] establish the radio bearer of the artificial intelligence service at the terminal based on the service configuration information.

[0316] In some embodiments, the artificial intelligence service layer is above a radio resource control (RRC) layer;

[0317] The receiving of the service configuration information sent by the base station based on the air interface signaling includes:

[0318] receive RRC signaling carrying the service configuration information sent by the base station.

[0319] Alternatively, the base station sends service-specific RRC signaling to indicate the service configuration information.

[0320] In some embodiments, the artificial intelligence service layer is a function in a radio resource control (RRC) layer.

[0321] The base station sends service configuration information based on air interface signaling, including:

[0322] The base station sends service-specific RRC signaling to indicate the service configuration information.

[0323] In some embodiments, the artificial intelligence service layer is above a packet data convergence protocol (PDCP) layer.

[0324] The base station sends service configuration information based on air interface signaling, including:

[0325] The base station sends service-specific air interface signaling to indicate the service configuration information, which is transmitted over the air interface based on a dedicated connection for the artificial intelligence service.

[0326] In some embodiments, further comprising:

[0327] The base station sends radio resource configuration information based on radio resource control (RRC) signaling.

[0328] Based on the radio resource configuration information, the artificial intelligence service is configured with radio resources.

[0329] In some embodiments, further comprising:

[0330] The base station sends an artificial intelligence service request to trigger the artificial intelligence service layer at the base station to determine service configuration information for the artificial intelligence service.

[0331] In some embodiments, the service configuration information includes at least one of service information, service configuration valid area, life cycle, model configuration information, and quality of service requirement information for the artificial intelligence service.

[0332] Based on any of the above embodiments, FIG. 10 is a structural schematic diagram of an artificial intelligence service establishment device provided by the present disclosure, as shown in FIG. 10, the device is applied to a base station, and the device includes:

[0333] A configuration determination unit 1010 is configured to determine service configuration information for an artificial intelligence service based on an artificial intelligence service layer of the base station.

[0334] The base station configuration unit 1020 is configured to establish a radio bearer of an artificial intelligence service at the base station based on the service configuration information.

[0335] The configuration sending unit 1030 is configured to send the service configuration information to the terminal based on air interface signaling, and the service configuration information is used to establish a radio bearer of the artificial intelligence service at the terminal.

[0336] In some embodiments, the artificial intelligence service layer is above a radio resource control (RRC) layer.

[0337] The configuration sending unit is specifically configured to:

[0338] send RRC signaling carrying the service configuration information to the terminal;

[0339] or, send service-specific RRC signaling to the terminal, and the service-specific RRC signaling is used to indicate the service configuration information.

[0340] In some embodiments, the artificial intelligence service layer is a function in a radio resource control (RRC) layer.

[0341] The configuration sending unit is specifically configured to:

[0342] send service-specific RRC signaling to the terminal, and the service-specific RRC signaling is used to indicate the service configuration information.

[0343] In some embodiments, the artificial intelligence service layer is above a packet data convergence protocol (PDCP) layer.

[0344] The configuration sending unit is specifically configured to:

[0345] send service-specific air interface signaling to the terminal, and the service-specific air interface signaling is used to indicate the service configuration information, and the service-specific air interface signaling is transmitted over the air interface based on a dedicated connection of the artificial intelligence service.

[0346] In some embodiments, the configuration sending unit is further configured to:

[0347] send radio resource configuration information to the terminal based on radio resource control (RRC) signaling, and the radio resource configuration information is used to trigger the terminal to configure radio resources for the artificial intelligence service.

[0348] In some embodiments, the configuration determining unit is specifically configured to:

[0349] In a case where an artificial intelligence service request sent by the terminal is received, determine service configuration information of the artificial intelligence service based on the artificial intelligence service layer.

[0350] In some embodiments, the configuration determining unit is specifically configured to:

[0351] In a case where the establishment of the artificial intelligence service is determined based on at least one of the terminal reported information and the base station measured information, the service configuration information of the artificial intelligence service is determined based on an artificial intelligence service layer of the base station.

[0352] In some embodiments, the service configuration information includes at least one of service information of the artificial intelligence service, a service configuration valid area, a life cycle, model configuration information, and service quality requirement information.

[0353] Based on any of the above embodiments, FIG. 11 is a structural schematic diagram of an artificial intelligence service establishment device provided by the present disclosure, as shown in FIG. 11, the device is applied to a terminal, and the device includes:

[0354] A configuration receiving unit 1110 is configured to receive, based on air interface signaling, service configuration information sent by a base station, the service configuration information being determined by an artificial intelligence service layer of the base station and used to establish a radio bearer of an artificial intelligence service at the base station;

[0355] A terminal configuration unit 1120 is configured to establish, based on the service configuration information, a radio bearer of an artificial intelligence service at the terminal.

[0356] In some embodiments, the artificial intelligence service layer is above a radio resource control (RRC) layer;

[0357] The configuration receiving unit is specifically configured to:

[0358] Receive RRC signaling carrying the service configuration information sent by the base station;

[0359] Alternatively, receive service-specific RRC signaling sent by the base station, the service-specific RRC signaling being used to indicate the service configuration information.

[0360] In some embodiments, the artificial intelligence service layer is a function in a radio resource control (RRC) layer;

[0361] The configuration receiving unit is specifically configured to:

[0362] Receive service-specific RRC signaling sent by the base station, the service-specific RRC signaling being used to indicate the service configuration information.

[0363] In some embodiments, the artificial intelligence service layer is above a packet data convergence protocol (PDCP) layer;

[0364] The configuration receiving unit is specifically configured to:

[0365] receive service-specific air interface signaling sent by the base station, the service-specific air interface signaling being used to indicate the service configuration information, and the service-specific air interface signaling being transmitted over the air interface based on a dedicated connection of the artificial intelligence service.

[0366] In some embodiments, the configuration receiving unit is further configured to:

[0367] receive radio resource configuration information sent by the base station based on radio resource control (RRC) signaling;

[0368] configure radio resources for the artificial intelligence service based on the radio resource configuration information.

[0369] In some embodiments, the apparatus further includes a request sending unit configured to:

[0370] send an artificial intelligence service request to the base station, the artificial intelligence service request being used to trigger the artificial intelligence service layer at the base station to determine service configuration information of the artificial intelligence service.

[0371] In some embodiments, the service configuration information includes at least one of service information of the artificial intelligence service, a service configuration valid area, a life cycle, model configuration information, and quality of service requirement information.

[0372] It should be noted that the division of units in the embodiments of the present disclosure is illustrative, and is merely a logical function division. In actual implementation, another division manner can be used. In addition, each functional unit in each embodiment of the present disclosure can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0373] When the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a processor-readable storage medium. Based on this understanding, the technical solutions of the present disclosure, essentially or the part that contributes to the related art, or all or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods described in the various embodiments of the present disclosure. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and various other media that can store program codes.

[0374] It should be noted that the device provided by the embodiments of the present disclosure can realize all the method steps achieved by the method embodiments and achieve the same technical effects, and the same parts and beneficial effects of the method embodiments in the embodiments will not be described in detail.

[0375] In another aspect, the embodiments of the present disclosure also provide a non-transitory readable storage medium, which stores a computer program for causing a processor to execute the information reporting method provided by each of the embodiments.

[0376] It should be noted that the non-transitory readable storage medium provided by the embodiments of the present disclosure can realize all the method steps achieved by the method embodiments and achieve the same technical effects, and the same parts and beneficial effects of the method embodiments in the embodiments will not be described in detail.

[0377] The non-transitory readable storage medium can be any available medium or data storage device that can be accessed by a computer, including but not limited to a magnetic memory (such as a floppy disk, a hard disk, a magnetic tape, a magneto-optical disk (MO), etc.), an optical memory (such as a CD, a DVD, a BD, a HVD, etc.), and a semiconductor memory (such as a ROM, an EPROM, an EEPROM, a non-volatile memory (NAND FLASH), a solid state disk (SSD)), etc.

[0378] The technical solutions provided by the embodiments of the present disclosure can be applied to various systems, especially 5G systems. For example, the applicable systems can be global system of mobile communication (GSM) systems, code division multiple access (CDMA) systems, wideband code division multiple access (WCDMA) general packet radio service (GPRS) systems, long term evolution (LTE) systems, LTE frequency division duplex (FDD) systems, LTE time division duplex (TDD) systems, long term evolution advanced (LTE-A) systems, universal mobile systems (UMTS), worldwide interoperability for microwave access (WiMAX) systems, 5G new radio (NR) systems, and the like. The various systems all include terminal devices and network devices. The systems can also include core network parts, such as evolved packet systems (EPS), 5G systems (5GS), and the like.

[0379] The terminal involved in the embodiments of the present disclosure can refer to a device that provides voice and / or data connectivity to a user, a handheld device with wireless connection function, or other processing devices connected to a wireless modem, etc. In different systems, the name of the terminal can also be different, for example, in the 5G system, the terminal can be called user equipment (UE). The wireless terminal device can communicate with one or more core networks (CN) through a radio access network (RAN), and the wireless terminal device can be a mobile terminal device, such as a mobile phone (or called "cellular" phone) and a computer with a mobile terminal device, for example, it can be a portable, pocket-sized, handheld, computer-built-in or vehicle-mounted mobile device, which exchanges language and / or data with the radio access network. For example, personal communication service (PCS) phones, cordless phones, session initiation protocol (SIP) phones, wireless local loop (WLL) stations, personal digital assistants (PDAs), etc. The wireless terminal device can also be called a system, a subscriber unit, a subscriber station, a mobile station, a mobile, a remote station, an access point, a remote terminal, an access terminal, a user terminal, a user agent, a user device, which is not limited in the embodiments of the present disclosure.

[0380] The base station according to embodiments of the present disclosure can include a plurality of cells that provide services for terminals. The base station can also be referred to as an access point, or can be a device in an access network that communicates with wireless terminal devices through one or more sectors over an air interface, or other names, according to different application scenarios. The network device can be used to exchange the received air frames with Internet Protocol (IP) packets as a router between the wireless terminal device and the rest of the access network, which can include an Internet Protocol (IP) communication network. The base station can also coordinate the management of the properties of the air interface. For example, the base station according to embodiments of the present disclosure can be a base station (Base Transceiver Station, BTS) in the Global System for Mobile Communications (GSM) or Code Division Multiple Access (CDMA), or a base station (NodeB) in Wide-band Code Division Multiple Access (WCDMA), or an evolved base station (evolutional Node B, eNB or e-NodeB) in a long term evolution (LTE) system, or a 5G base station (gNB) in a next generation system, or a home evolved base station (HeNB), a relay node, a femto, a pico, etc., which are not limited in the embodiments of the present disclosure. In some network structures, the base station can include a centralized unit (CU) node and a distributed unit (DU) node, and the centralized unit and the distributed unit can also be arranged geographically apart.

[0381] The base station and the terminal can each use one or more antennas for Multi Input Multi Output (MIMO) transmission, which can be Single User MIMO (SU-MIMO) or Multiple User MIMO (MU-MIMO). According to the shape and number of antenna combinations, MIMO transmission can be 2D-MIMO, 3D-MIMO, FD-MIMO or massive-MIMO, or can be diversity transmission or precoding transmission or beamforming transmission, etc.

[0382] Those skilled in the art will appreciate that embodiments of the disclosure can be devised for a method, a system, or a computer program product. Accordingly, the disclosure can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the disclosure can take the form of a computer program product on one or more computer readable storage media (including, but not limited to, disk memory, optical memory, and the like) having computer usable program code embodied in the medium.

[0383] The disclosure is described in reference to the flow diagrams and / or block diagrams of the method, apparatus (system) and computer program product according to embodiments of the disclosure. It will be understood that each block of the flow diagrams and / or block diagrams, and combinations of blocks in the flow diagrams and / or block diagrams, can be implemented by computer executable instructions. The computer executable instructions can be provided to a processor of a general purpose computer, a special purpose computer, an embedded processor or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flow diagrams and / or block diagrams block or blocks.

[0384] These computer executable instructions can also be stored in a processor readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the processor readable memory produce an article of manufacture including instructions which implement the function specified in the flow diagrams and / or block diagrams block or blocks.

[0385] These computer executable instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flow diagrams and / or block diagrams block or blocks.

[0386] Obviously, numerous modifications and variations of the present disclosure are possible in light of the above teachings. It is therefore to be understood that within the scope of the disclosure, the disclosure can be practiced otherwise than as specifically described. Thus, the disclosure includes all modifications and variations from the example constructions and methods already described and such as can naturally occur to those skilled in the art.

Claims

1. An artificial intelligence service establishment method applied to a base station, the method comprising: determining, by an artificial intelligence service layer of the base station, service configuration information of an artificial intelligence service; establishing, at the base station, a radio bearer of the artificial intelligence service based on the service configuration information; sending, to a terminal, the service configuration information based on air interface signaling, the service configuration information being used to establish the radio bearer of the artificial intelligence service at the terminal. 2.The artificial intelligence service setup method of claim 1, wherein, The artificial intelligence service layer is above a radio resource control (RRC) layer. The sending, to the terminal, of the service configuration information based on the air interface signaling comprises: sending, to the terminal, RRC signaling carrying the service configuration information; or sending, to the terminal, service-specific RRC signaling used to indicate the service configuration information. 3.The artificial intelligence service setup method of claim 1, wherein, The artificial intelligence service layer is a function in the RRC layer. The sending, to the terminal, of the service configuration information based on the air interface signaling comprises: sending, to the terminal, service-specific RRC signaling used to indicate the service configuration information. 4.The artificial intelligence service setup method of claim 1, wherein, The artificial intelligence service layer is above a packet data convergence protocol (PDCP) layer. The sending, to the terminal, of the service configuration information based on the air interface signaling comprises: sending, to the terminal, service-specific air interface signaling used to indicate the service configuration information, the service-specific air interface signaling being transmitted over the air interface based on a dedicated connection of the artificial intelligence service. 5.The artificial intelligence service setup method of claim 4, wherein, The method further comprises: sending, to the terminal, radio resource configuration information based on RRC signaling, the radio resource configuration information being used to trigger the terminal to configure radio resources for the artificial intelligence service. 6.The artificial intelligence service setup method of any one of claims 1 to 5, wherein, The determining, by the artificial intelligence service layer of the base station, of the service configuration information of the artificial intelligence service comprises: in a case where an artificial intelligence service request sent by the terminal is received, determining, by the artificial intelligence service layer, the service configuration information of the artificial intelligence service. 7.The artificial intelligence service establishment method of any one of claims 1 to 5, wherein, The determining, by the artificial intelligence service layer of the base station, of the service configuration information of the artificial intelligence service comprises: in a case where it is determined to establish the artificial intelligence service based on at least one of terminal reported information and base station measurement information, determining, by the artificial intelligence service layer of the base station, the service configuration information of the artificial intelligence service. 8.The artificial intelligence service setup method of any one of claims 1 to 5, wherein, The service configuration information comprises at least one of service information, a service configuration valid area, a life cycle, model configuration information, and quality of service requirement information of the artificial intelligence service.

9. An artificial intelligence service establishment method applied to a terminal, the method comprising: receiving, from a base station, service configuration information based on air interface signaling, the service configuration information being determined by an artificial intelligence service layer of the base station and being used to establish a radio bearer of an artificial intelligence service at the base station; establishing, at the terminal, the radio bearer of the artificial intelligence service based on the service configuration information.

10. The artificial intelligence service setup method of claim 9, wherein, The artificial intelligence service layer is above a radio resource control (RRC) layer. The receiving, from the base station, of the service configuration information based on the air interface signaling comprises: receiving, from the base station, RRC signaling carrying the service configuration information. Or, receiving service-specific RRC signaling sent by the base station, the service-specific RRC signaling being used to indicate the service configuration information. 11.The artificial intelligence service setup method of claim 9, wherein, The artificial intelligence service layer is a function in a radio resource control (RRC) layer; The service configuration information is received based on air interface signaling sent by the base station, including: Receiving service-specific RRC signaling sent by the base station, the service-specific RRC signaling being used to indicate the service configuration information. 12.The artificial intelligence service setup method of claim 9, wherein, The artificial intelligence service layer is above a packet data convergence protocol (PDCP) layer; The service configuration information is received based on air interface signaling sent by the base station, including: Receiving service-specific air interface signaling sent by the base station, the service-specific air interface signaling being used to indicate the service configuration information, and the service-specific air interface signaling being transmitted based on a dedicated connection of the artificial intelligence service.

13. The artificial intelligence service setup method of claim 12, wherein, Further comprising: Receiving radio resource configuration information sent by the base station based on radio resource control (RRC) signaling; Configuring radio resources for the artificial intelligence service based on the radio resource configuration information.

14. The artificial intelligence service setup method of any one of claims 9 to 13, wherein, Further comprising: Sending an artificial intelligence service request to the base station, the artificial intelligence service request being used to trigger the artificial intelligence service layer at the base station to determine service configuration information of the artificial intelligence service.

15. The artificial intelligence service setup method of any one of claims 9 to 13, wherein, The service configuration information includes at least one of service information, service configuration valid area, life cycle, model configuration information, and quality of service requirement information of the artificial intelligence service.

16. A base station, comprising a memory, a transceiver, and a processor; The memory is used to store a computer program; The transceiver is used to transceive data under the control of the processor; The processor is used to read the computer program in the memory and perform the following operations: Determining service configuration information of an artificial intelligence service based on an artificial intelligence service layer of the base station; Establishing a radio bearer of the artificial intelligence service at the base station based on the service configuration information; Sending the service configuration information to a terminal based on air interface signaling, the service configuration information being used to establish a radio bearer of the artificial intelligence service at the terminal.

17. The base station of claim 16, wherein, The artificial intelligence service layer is above a radio resource control (RRC) layer; The service configuration information is sent to the terminal based on air interface signaling, including: Sending RRC signaling carrying the service configuration information to the terminal; Or, sending service-specific RRC signaling to the terminal, the service-specific RRC signaling being used to indicate the service configuration information.

18. The base station of claim 16, wherein, The artificial intelligence service layer is a function in a radio resource control (RRC) layer; The service configuration information is sent to the terminal based on air interface signaling, including: Sending service-specific RRC signaling to the terminal, the service-specific RRC signaling being used to indicate the service configuration information.

19. The base station of claim 16, wherein, The artificial intelligence service layer is above a packet data convergence protocol (PDCP) layer; The service configuration information is sent to the terminal based on air interface signaling, including: Sending service-specific air interface signaling to the terminal, the service-specific air interface signaling being used to indicate the service configuration information, and the service-specific air interface signaling being transmitted based on a dedicated connection of the artificial intelligence service.

20. The base station of claim 19, wherein, Further comprising: The wireless resource configuration information is transmitted to the terminal based on radio resource control (RRC) signaling, and the wireless resource configuration information is used to trigger the terminal to configure wireless resources for the artificial intelligence service.

21. The base station of any one of claims 16 to 20, wherein, The artificial intelligence service layer based on the base station determines service configuration information of the artificial intelligence service, including: In the case of receiving an artificial intelligence service request sent by a terminal, the artificial intelligence service layer based on the base station determines service configuration information of the artificial intelligence service.

22. The base station of any one of claims 16 to 20, wherein, The artificial intelligence service layer based on the base station determines service configuration information of the artificial intelligence service, including: In the case of determining to establish an artificial intelligence service based on at least one of terminal reported information and base station measurement information, the artificial intelligence service layer based on the base station determines service configuration information of the artificial intelligence service.

23. The base station of any one of claims 16 to 20, wherein, The service configuration information includes at least one of service information, service configuration valid area, life cycle, model configuration information, and quality of service requirement information of the artificial intelligence service.

24. A terminal, comprising a memory, a transceiver, and a processor; The memory is configured to store a computer program; The transceiver is configured to transceive data under control of the processor; The processor is configured to read the computer program in the memory and perform the following operations: Receiving service configuration information sent by a base station based on air interface signaling, the service configuration information being determined by an artificial intelligence service layer of the base station and being used to establish a radio bearer of the artificial intelligence service at the base station; Establishing a radio bearer of the artificial intelligence service at the terminal based on the service configuration information.

25. The terminal of claim 24, wherein, The artificial intelligence service layer is above a radio resource control (RRC) layer; The receiving of the service configuration information sent by the base station based on the air interface signaling includes: Receiving RRC signaling carrying the service configuration information sent by the base station; Alternatively, receiving service-specific RRC signaling sent by the base station, the service-specific RRC signaling being used to indicate the service configuration information.

26. The terminal of claim 24, wherein, The artificial intelligence service layer is a function in the RRC layer; The receiving of the service configuration information sent by the base station based on the air interface signaling includes: Receiving service-specific RRC signaling sent by the base station, the service-specific RRC signaling being used to indicate the service configuration information.

27. The terminal of claim 24, wherein, The artificial intelligence service layer is above a packet data convergence protocol (PDCP) layer; The receiving of the service configuration information sent by the base station based on the air interface signaling includes: Receiving service-specific air interface signaling sent by the base station, the service-specific air interface signaling being used to indicate the service configuration information and being transmitted over the air interface based on a dedicated connection of the artificial intelligence service.

28. The terminal of claim 27, wherein, Further comprising: Receiving wireless resource configuration information sent by the base station based on RRC signaling; Configuring wireless resources for the artificial intelligence service based on the wireless resource configuration information.

29. The terminal according to any one of claims 24 to 28, wherein, Further comprising: Sending an artificial intelligence service request to the base station, the artificial intelligence service request being used to trigger the artificial intelligence service layer at the base station to determine service configuration information of the artificial intelligence service.

30. The terminal of any one of claims 24 to 28, wherein, The service configuration information includes at least one of service information of the artificial intelligence service, a service configuration effective area, a life cycle, model configuration information, and quality of service requirement information.

31. An artificial intelligence service establishment apparatus applied to a base station, the apparatus comprising: a configuration determination unit configured to determine service configuration information of an artificial intelligence service based on an artificial intelligence service layer of the base station; a base station configuration unit configured to establish a radio bearer of the artificial intelligence service at the base station based on the service configuration information; a configuration sending unit configured to send the service configuration information to a terminal based on air interface signaling, the service configuration information being used to establish the radio bearer of the artificial intelligence service at the terminal.

32. An artificial intelligence service establishment apparatus applied to a terminal, the apparatus comprising: a configuration receiving unit configured to receive service configuration information sent by a base station based on air interface signaling, the service configuration information being determined by an artificial intelligence service layer of the base station and used to establish a radio bearer of an artificial intelligence service at the base station; a terminal configuration unit configured to establish the radio bearer of the artificial intelligence service at the terminal based on the service configuration information.

33. A non-transitory readable storage medium storing a computer program, the computer program being used to cause a processor to execute the method of any one of claims 1 to 15.

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