Configuration method, network device, terminal, storage medium, and computer program product

Abstract

Provided in the present disclosure are a configuration method, a network device, a terminal, a storage medium, and a computer program product. The method comprises: a network device configuring at least one piece of first association index information, and PLMN index information and / or cell index information and / or a tracking area code and / or an RAN area code.

Description

A configuration method, network device, terminal, storage medium and computer program product

[0001] Cross-reference to Related Applications

[0002] The present disclosure claims priority from Chinese Patent Application No. 202411054520.0 filed on August 01, 2024 in China, the content of which is incorporated herein by reference in its entirety. TECHNICAL FIELD

[0003] The present disclosure relates to the field of communications, and particularly relates to a configuration method, network device, terminal, storage medium and computer program product. BACKGROUND

[0004] Artificial Intelligence (AI) has very promising application prospects in the field of beam management and other fields under the existing 5th Generation Mobile Communication Technology (5G) design framework. Considering that the training data collection of the AI model / function is in the first cell and the inference may move to the second cell, in order to ensure that the inference obtains good performance, it is necessary to ensure that the network environment / base station parameters at the training and inference are consistent. At present, the network can configure an associated identity document (ID) when collecting data, and the terminal or base station judges whether a certain AI model / function can adapt to the network environment of the second cell based on the associated ID when inferring.

[0005] However, the base station parameters between different base station manufacturers are often different, so different associated IDs are used. In an ideal case, different associated IDs are used in different network environments / base station parameters of the same base station manufacturer, and different associated IDs may also be used in different network environments / base station parameters in each region. Different associated IDs correspond to different network environments / base station parameters between different regions. Therefore, the base station and / or the terminal are difficult to judge whether the network environment / base station parameters of the second cell match the associated ID of the AI model / function. Further, the problem of poor inference performance of the AI model / function is caused. SUMMARY

[0006] The present disclosure provides a configuration method, network device, terminal, storage medium and computer program product. The inference performance of the AI model / function can be improved.

[0007] The technical solution of the present disclosure is implemented as follows:

[0008] In a first aspect, the present disclosure provides a configuration method applied to a network device, and the method comprises:

[0009] Configure at least one first associated index information, as well as Public Land Mobile Network (PLMN) index information and / or cell index information and / or tracking area code and / or Radio Access Network (RAN) area code.

[0010] Secondly, this disclosure proposes a configuration method for use in a terminal, the method comprising:

[0011] Receive at least one first associated index information, as well as PLMN index information and / or cell index information and / or tracking area code and / or RAN area code.

[0012] Thirdly, this disclosure proposes a network device, the network device comprising:

[0013] The configuration unit is used to configure at least one first associated index information, as well as PLMN index information and / or cell index information and / or tracking area code and / or RAN area code.

[0014] Fourthly, this disclosure proposes a terminal, said terminal comprising:

[0015] The receiving unit is configured to receive at least one first association index information, as well as PLMN index information and / or cell index information and / or tracking area code and / or RAN area code.

[0016] Fifthly, this disclosure proposes a network device, the network device comprising: a first processor, a first memory, and a first communication bus; the first communication bus is used to realize the connection and communication between the first processor and the first memory; when the first processor executes the running program stored in the first memory, it implements the above-described configuration method applied to the network device.

[0017] In a sixth aspect, this disclosure proposes a terminal, the terminal comprising: a second processor, a second memory, and a second communication bus; the second communication bus is used to realize the connection and communication between the second processor and the second memory; when the second processor executes the running program stored in the second memory, it implements the above-described configuration method applied to the terminal.

[0018] In a seventh aspect, this disclosure proposes a storage medium storing a computer program that, when executed by a first processor, implements the configuration method described above for a network device, or when executed by a second processor, implements the configuration method described above for a terminal.

[0019] Eighthly, this disclosure proposes a computer program product, including a computer program that, when executed by a first processor, implements the above-described configuration method applied to a network device, or, when executed by a second processor, implements the above-described configuration method applied to a terminal.

[0020] This disclosure provides a configuration method and network device, terminal, storage medium, and computer program product. The method includes: configuring at least one first association index information, as well as PLMN index information and / or cell index information and / or tracking area code and / or RAN area code, on the network device. Using the above implementation, the network device configures application area indication information for the association ID, assisting the base station and / or terminal in determining whether the base station parameters of the current cell match the association ID based on the application area of ​​the association ID and the current cell base station parameters and their location, thereby improving the performance of AI model / functional inference. Attached Figure Description

[0021] Figure 1 is a flowchart of a configuration method provided in an embodiment of this disclosure;

[0022] Figure 2 is a flowchart of a configuration method provided in an embodiment of this disclosure;

[0023] Figure 3 is a schematic diagram of the structure of a network device provided in an embodiment of this disclosure;

[0024] Figure 4 is a schematic diagram of the structure of a network device provided in an embodiment of this disclosure;

[0025] Figure 5 is a schematic diagram of the structure of a terminal provided in an embodiment of this disclosure;

[0026] Figure 6 is a schematic diagram of the structure of a terminal provided in an embodiment of this disclosure. Detailed Implementation

[0027] To gain a more detailed understanding of the features and technical content of the embodiments of this disclosure, the implementation of the embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for reference and illustration only and are not intended to limit the embodiments of this disclosure.

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs. The terminology used herein is for the purpose of describing embodiments of this disclosure only and is not intended to be limiting of this disclosure.

[0029] In the following description, references to "some embodiments" refer to a subset of all possible embodiments. It is understood that "some embodiments" may be the same or different subsets of all possible embodiments and may be combined with each other without conflict. It should also be noted that the terms "first, second, third" used in the embodiments of this disclosure are merely for distinguishing similar objects and do not represent a specific ordering of objects. It is understood that "first, second, third" may be interchanged in a specific order or sequence where permissible, so that the embodiments of this disclosure described herein can be implemented in an order other than that illustrated or described herein.

[0030] This disclosure provides a configuration method applied to a network device, as shown in FIG1. ​​The method may include:

[0031] S101, Configure at least one first associated index information, as well as PLMN index information and / or cell index information and / or tracking area code and / or RAN area code.

[0032] In some embodiments, a network device is a device that provides wireless communication functions for a terminal device, including but not limited to: evolved Node B (eNB or e-NodeB), macro base station, micro base station (also known as "small base station"), pico base station, base transceiver station (BTS), base band unit (BBU), access point (AP), transmission point (TP), or new generation Node B (gNodeB) in Long-Term Evolution (LTE), New Radio (NR), or Licensed-Assisted Access using Long-Term Evolution (LAA-LTE) systems.

[0033] In this embodiment of the disclosure, when the terminal collects training data for the first AI model and / or the first function, the network device configures at least one first associated index information, as well as Public Land Mobile Network (PLMN) index information and / or cell index information and / or tracking area code and / or Radio Access Network (RAN) area code.

[0034] In this embodiment of the disclosure, the terminal can collect training data of the first AI model and / or the first function in at least one cell, and the network device configures a corresponding first association index for each cell.

[0035] In this embodiment of the disclosure, the network-side environment parameters corresponding to the first associated index information are transparent to the terminal.

[0036] In this embodiment of the disclosure, network-side environmental parameters may include antenna downtilt angle, antenna azimuth angle, beam pointing, etc., and the specific parameters can be selected according to the actual situation. This embodiment of the disclosure does not impose any specific limitations.

[0037] In one optional embodiment, the cell list information or area indication information corresponding to the first associated index information is configured.

[0038] The cell list information includes one or more of the following: PLMN index information, cell index information;

[0039] The area indication information includes one or more of the following: PLMN index information, tracking area code, and RAN area code.

[0040] In this embodiment of the disclosure, the network device configures the cell list information or area indication information corresponding to the first associated index information through higher-layer Radio Resource Control (RRC) signaling. The RRC signaling can be RRC establishment signaling, RRC release signaling, RRC configuration signaling, etc.

[0041] In this embodiment of the disclosure, the area indication information can be RAN area information.

[0042] In this embodiment of the disclosure, if the first AI model reported by the terminal is an applicable model or the first function is an applicable function, then a reference signal measurement configuration for the first AI model or the first function is sent to the terminal; if the first AI model reported by the terminal is an inapplicable model or the first function is an inapplicable function, then a non-AI reference signal measurement configuration is sent to the terminal.

[0043] It should be noted that if the cell index information, tracking area code, or RAN area code of the first cell belongs to the cell list information or area indication information corresponding to the first associated index information, then the first AI model reported by the receiving terminal is an applicable model or the first function is an applicable function; if the cell index information, tracking area code, or RAN area code of the first cell does not belong to the cell list information or area indication information corresponding to the first associated index information, then the first AI model reported by the receiving terminal is an inapplicable model or the first function is an inapplicable function.

[0044] It should be noted that the first cell refers to the cell where the terminal moves to use the first AI model and / or the first function after the first AI model and / or the first function has been trained.

[0045] It should be noted that the terminal can report the first AI model as an applicable model or the first function as an applicable function through User Equipment Assistance Information (UAI) signaling.

[0046] It should be noted that the reference signal measurement configuration for the first AI model or the first function can be the inference configuration for the first AI model or the first function; the reference signal measurement configuration for non-AI can be the traditional beam management configuration.

[0047] It should be noted that the above embodiments are applicable both within and outside the application area of ​​the first association index, indicating the cells / areas to which the first association index can be applied. This involves aligning the network environment / base station parameters behind the association IDs of different areas between network devices to determine if they are consistent.

[0048] Based on the above embodiments, an exemplary method for indicating the application area of ​​the associated ID is proposed. When the terminal collects training data of the first AI model for beam management with Cell Identity = 1, the network configures the first associated index information = 1, the PLMN index information to which the first associated index belongs = 1, the cell index information Cell Identity = 1, and the tracking area code = 1.

[0049] Assuming that associated indices are unique within the same Tracking Area Code, they may overlap between Tracking Area Codes. When a terminal is located within Tracking Area Code = 1, the network device configures the cell list information corresponding to the first associated index = 1 via RRC signaling as follows:

[0050] {PLMN index information = 1, cell index information = 3;}

[0051] PLMN index information = 1, cell index information = 5;

[0052] PLMN index information = 2, cell index information = 7;

[0053] PLMN index information = 2, cell index information = 9;

[0054] PLMN index information = 3, cell index information = 11;

[0055] After the terminal moves to cell index information = 3, it reports the first AI model as an applicable model in UAI, and the base station sends the inference configuration of the first AI model.

[0056] After the terminal moves to cell index information = 6, assuming that the cell list of all beam management models does not contain cell index information = 6, the UAI reports that there is no applicable model, and the base station sends the traditional beam management configuration.

[0057] When the terminal is located at Tracking Area Code = 2, the base station aligns the network environment / base station parameters behind the different association IDs of Tracking Area Code = 1 and Tracking Area Code = 2 to ensure consistency. It then configures the cell list corresponding to the first association index = 1 via RRC signaling as follows:

[0058] {PLMN index information = 1, cell index information = 12;}

[0059] PLMN index information = 1, cell index information = 13;

[0060] PLMN index information = 2, cell index information = 14;

[0061] PLMN index information = 3, cell index information = 15;

[0062] After the terminal moves to cell index information = 12, it reports the first AI model as an applicable model in UAI, and the base station sends the inference configuration of the first AI model.

[0063] After the terminal moves to cell index information = 16, assuming that the cell list of all models associated with beam management does not contain cell index information = 16, the UAI reports that there is no available model, and the base station sends the traditional beam management configuration.

[0064] In another optional embodiment, at least one candidate cell index information and at least one second associated index information corresponding to the candidate cell index information are configured.

[0065] In this embodiment of the disclosure, if the first AI model reported by the terminal is an applicable model or the first function is an applicable function, then a reference signal measurement configuration for the first AI model or the first function is sent to the terminal; if the first AI model reported by the terminal is an inapplicable model or the first function is an inapplicable function, then a non-AI reference signal measurement configuration is sent to the terminal.

[0066] It should be noted that if the second association index of the first candidate cell belongs to at least one first association index, then the first AI model reported by the receiving terminal is an applicable model or the first function is an applicable function; if the second association index of the first candidate cell does not belong to at least one first association index, then the first AI model reported by the receiving terminal is an inapplicable model or the first function is an inapplicable function.

[0067] In this embodiment of the disclosure, the first candidate cell is the cell to which the terminal switches after moving.

[0068] In this embodiment of the disclosure, the above embodiments are applicable to indicating the cells to which the first association index can be applied within the application area of ​​the first association index.

[0069] Based on the above embodiments, an exemplary method for indicating the application area of ​​the associated ID is proposed. When the terminal collects training data of the first AI model for beam management with Cell Identity = 1, the network configures the first associated index information = 1, the PLMN index information to which the first associated index belongs = 1, the cell index information Cell Identity = 1, and the tracking area code = 1.

[0070] Assuming that associated indices are unique within the same Tracking Area Code, but may overlap between Tracking Area Codes. When a terminal is located within Tracking Area Code = 1, the network configures the associated index information of candidate cells via higher-layer RRC signaling as follows:

[0071] {Cell index information = 2, associated index information = 1;}

[0072] Cell index information = 3, associated index information = 1;

[0073] Cell index information = 4, associated index information = 2;

[0074] Cell index information = 5, associated index information = 3;

[0075] When the terminal moves to cell index information = 3, the UAI reports the first AI model as an applicable model, and the base station sends the inference configuration of the first AI model.

[0076] After the terminal moves to cell index information = 4, assuming that the associated index of all AI models in beam management does not contain associated index information = 2, the UAI reports that there are no applicable models, and the base station sends the traditional beam management configuration.

[0077] In another alternative embodiment, the receiving terminal sends first associated index information, and / or PLMN index information and / or cell index information and / or tracking area code and / or radio access network RAN ​​area code.

[0078] In this embodiment of the disclosure, a reference signal measurement configuration or a non-AI reference signal measurement configuration corresponding to the first associated index information is sent to the terminal.

[0079] It should be noted that the network device determines whether the first associated index information matches the current cell environment. If it matches, it sends the reference signal measurement configuration of the first AI model or the first function corresponding to the first associated index information to the terminal. If it does not match, it sends the non-AI reference signal measurement configuration to the terminal.

[0080] In this embodiment of the disclosure, the above embodiments are applicable to reporting cells / regions to which the first association index can be applied, both within and outside the application area of ​​the application area. This is determined by whether the network environment / base station parameters behind the association IDs of different regions are consistent, based on the alignment between base stations.

[0081] Understandably, network devices are configured with indication information of the application area of ​​the associated ID to assist base stations and / or terminals in determining whether the base station parameters of the current cell match the associated ID based on the application area of ​​the associated ID and the current cell base station parameters and the area where it is located, thereby improving the performance of AI model / functional inference.

[0082] Based on the above embodiments, this disclosure proposes a configuration method applied to a terminal, as shown in Figure 2. The method may include:

[0083] S201, Receive at least one first associated index information, as well as PLMN index information and / or cell index information and / or tracking area code and / or RAN area code.

[0084] In some embodiments, the terminal device may be referred to as User Equipment (UE). This terminal device may be a Personal Communication Service (PCS) telephone, cordless telephone, Session Initiation Protocol (SIP) telephone, Wireless Local Loop (WLL) station, Personal Digital Assistant (PDA), or other similar devices. It may also be a smartphone, tablet, handheld computer, mobile station (MS), mobile terminal, etc. The terminal device can communicate with one or more network devices via a Radio Access Network (RAN). For example, the terminal device may be a mobile phone (or "cellular" phone) or a computer with a terminal device. It may also be a portable, pocket-sized, handheld, computer-embedded, or vehicle-mounted mobile device that exchanges voice and / or data with the RAN. The terminal device may also be a handheld device with wireless communication capabilities, a computing device or other processing device connected to a wireless modem, a vehicle-mounted device, a wearable device, or a terminal device in future network evolutions; this disclosure does not limit the scope of the invention.

[0085] In this embodiment of the disclosure, when the terminal collects training data for the first AI model and / or the first function, the network device configures at least one first association index information, as well as PLMN index information and / or cell index information and / or tracking area code and / or RAN area code. The network device sends the configured at least one first association index information, as well as PLMN index information and / or cell index information and / or tracking area code and / or RAN area code, to the terminal.

[0086] In this embodiment of the disclosure, the terminal can collect training data of the first AI model and / or the first function in at least one cell, and the network device configures a corresponding first association index for each cell.

[0087] In this embodiment of the disclosure, the network-side environment parameters corresponding to the first associated index information are transparent to the terminal.

[0088] In this embodiment of the disclosure, the network-side environmental parameters may include antenna downtilt angle, antenna azimuth angle, antenna mounting height, beam pointing, etc. The specific parameters can be selected according to the actual situation, and this embodiment of the disclosure does not impose any specific limitations.

[0089] In one optional embodiment, cell list information or area indication information corresponding to the first associated index information is received.

[0090] The cell list information includes one or more of the following: PLMN index information, cell index information;

[0091] The area indication information includes one or more of the following: PLMN index information, tracking area code, and RAN area code.

[0092] In this embodiment of the disclosure, the network device configures the cell list information or area indication information corresponding to the first associated index information through higher-layer RRC signaling. The RRC signaling can be RRC establishment signaling, RRC release signaling, RRC configuration signaling, etc.

[0093] In this embodiment of the disclosure, the area indication information can be RAN area information.

[0094] In this embodiment of the disclosure, if the cell index information, tracking area code, or RAN area code of the first cell belongs to the cell list information or area indication information corresponding to the first associated index information, then the first AI model corresponding to the first associated index information is reported as an applicable model or the first function corresponding to the first associated index information is reported as an applicable function; if the cell index information, tracking area code, or RAN area code of the first cell does not belong to the cell list information or area indication information corresponding to the first associated index information, then the first AI model corresponding to the first associated index information is reported as an unapplicable model or the first function corresponding to the first associated index information is reported as an unapplicable function.

[0095] In this embodiment of the disclosure, if the terminal reports that the first AI model is an applicable model or the first function is an applicable function, then the terminal receives the reference signal measurement configuration of the first AI model or the first function sent by the network device; if the terminal reports that the first AI model is an inapplicable model or the first function is an inapplicable function, then the terminal receives the non-AI reference signal measurement configuration sent by the network device.

[0096] It should be noted that the terminal can report the first AI model as an applicable model or the first function as an applicable function through UAI signaling.

[0097] It should be noted that the reference signal measurement configuration for the first AI model or the first function can be the inference configuration for the first AI model or the first function; the reference signal measurement configuration for non-AI can be the traditional beam management configuration.

[0098] It should be noted that the above embodiments are applicable both within and outside the application area of ​​the first association index, indicating the cells / areas to which the first association index can be applied. This involves aligning the network environment / base station parameters behind the association IDs of different areas between network devices to determine if they are consistent.

[0099] In another optional embodiment, at least one candidate cell index information and at least one second associated index information corresponding to the candidate cell index information are received.

[0100] In this embodiment of the disclosure, if the second association index of the first candidate cell belongs to at least one first association index, then the first AI model corresponding to the first association index information is an applicable model or the first function corresponding to the first association index information is an applicable function; if the second association index of the first candidate cell does not belong to at least one first association index, then the first AI model corresponding to the first association index information is an inapplicable model or the first function corresponding to the first association index information is an inapplicable function.

[0101] In this embodiment of the disclosure, if the terminal reports that the first AI model is an applicable model or the first function is an applicable function, then the terminal receives the reference signal measurement configuration of the first AI model or the first function sent by the network device; if the terminal reports that the first AI model is an inapplicable model or the first function is an inapplicable function, then the terminal receives the non-AI reference signal measurement configuration sent by the network device.

[0102] In this embodiment of the disclosure, the above embodiments are applicable to indicating the cells to which the first association index can be applied within the application area of ​​the first association index.

[0103] In another alternative embodiment, first association index information, and / or PLMN index information and / or cell index information and / or tracking area code and / or radio access network RAN ​​area code are sent to the network side.

[0104] In this embodiment of the disclosure, a reference signal measurement configuration or a non-AI reference signal measurement configuration corresponding to a first associated index information is received.

[0105] It should be noted that the network device determines whether the first associated index information matches the current cell environment. If it matches, it sends the reference signal measurement configuration of the first AI model or the first function corresponding to the first associated index information to the terminal. If it does not match, it sends the non-AI reference signal measurement configuration to the terminal.

[0106] In this embodiment of the disclosure, the above embodiments are applicable to reporting cells / regions to which the first association index can be applied, both within and outside the application area of ​​the application area. This is determined by whether the network environment / base station parameters behind the association IDs of different regions are consistent, based on the alignment between base stations.

[0107] Understandably, network devices are configured with indication information of the application area of ​​the associated ID to assist base stations and / or terminals in determining whether the base station parameters of the current cell match the associated ID based on the application area of ​​the associated ID and the current cell base station parameters and the area where it is located, thereby improving the performance of AI model / functional inference.

[0108] This disclosure provides a network device 1. As shown in FIG3, the network device 1 includes:

[0109] Configuration unit 10 is used to configure at least one first associated index information, as well as PLMN index information and / or cell index information and / or tracking area code and / or RAN area code.

[0110] Optionally, the configuration unit 10 is further configured to configure the cell list information or area indication information corresponding to the first associated index information.

[0111] Optionally, the cell list information includes one or more of the following: PLMN index information and cell index information;

[0112] The area indication information includes one or more of the following: PLMN index information, tracking area code, and RAN area code.

[0113] Optionally, the configuration unit 10 is further configured to configure at least one candidate cell index information and at least one second associated index information corresponding to the candidate cell index information.

[0114] Optionally, the network device further includes: a transmitting unit;

[0115] The sending unit is configured to send a reference signal measurement configuration for the first AI model or the first function to the terminal if the first AI model reported by the terminal is an applicable model or the first function is an applicable function; and to send a non-AI reference signal measurement configuration to the terminal if the first AI model reported by the terminal is an inapplicable model or the first function is an inapplicable function.

[0116] Optionally, the network device further includes: a receiving unit;

[0117] The receiving unit is used to receive first association index information, and / or PLMN index information and / or cell index information and / or tracking area code and / or radio access network RAN ​​area code sent by the terminal.

[0118] Optionally, the sending unit is further configured to send to the terminal a reference signal measurement configuration or a non-AI reference signal measurement configuration corresponding to the first associated index information, which is either a first AI model or a first function.

[0119] This disclosure provides a network device configured with at least one first association index information, as well as PLMN index information and / or cell index information and / or tracking area code and / or RAN area code. Therefore, the network device proposed in this embodiment configures application area indication information for the association ID to assist base stations and / or terminals in determining whether the base station parameters of the current cell match the association ID based on the application area of ​​the association ID and the current cell base station parameters and their location, thereby improving the performance of AI model / functional inference.

[0120] Figure 4 is a schematic diagram of the composition structure of a network device 1 provided in an embodiment of this disclosure. In practical applications, based on the same disclosure concept of the above embodiments, as shown in Figure 4, the network device 1 of this embodiment includes: a first processor 11, a first memory 12 and a first communication bus 13.

[0121] The first processor 11 described above can be at least one of the following: Application Specific Integrated Circuit (ASIC), Digital Signal Processor (DSP), Digital Signal Processing Device (DSPD), Programmable Logic Device (PLD), Field Programmable Gate Array (FPGA), Central Processing Unit (CPU), controller, microcontroller, and microprocessor. It is understood that, for different devices, the electronic device used to implement the above processor function can also be other types, and this embodiment does not specifically limit it.

[0122] In this embodiment, the first communication bus 13 is used to establish a connection and communication between the first processor 11 and the first memory 12; when the first processor 11 executes the running program stored in the first memory 12, it implements the following configuration method:

[0123] Configure at least one first associated index information, as well as PLMN index information and / or cell index information and / or tracking area code and / or RAN area code.

[0124] Furthermore, the aforementioned first processor 11 is also used to configure the cell list information or area indication information corresponding to the first associated index information.

[0125] Furthermore, the cell list information includes one or more of the following: PLMN index information and cell index information; the area indication information includes one or more of the following: PLMN index information, tracking area code, and RAN area code.

[0126] Furthermore, the first processor 11 is also configured to configure at least one candidate cell index information and at least one second associated index information corresponding to the candidate cell index information.

[0127] Furthermore, the aforementioned first processor 11 is also configured to send a reference signal measurement configuration for the first AI model or the first function to the terminal if the first AI model reported by the terminal is an applicable model or the first function is an applicable function; and to send a non-AI reference signal measurement configuration to the terminal if the first AI model reported by the terminal is an inapplicable model or the first function is an inapplicable function.

[0128] Furthermore, the aforementioned first processor 11 is also used to receive first association index information sent by the terminal, and / or PLMN index information and / or cell index information and / or tracking area code and / or radio access network RAN ​​area code.

[0129] Furthermore, the aforementioned first processor 11 is also used to send to the terminal a reference signal measurement configuration or a non-AI reference signal measurement configuration corresponding to the first associated index information, which is the first AI model or the first function.

[0130] This disclosure provides a terminal 2, as shown in FIG5, the terminal 2 including:

[0131] The receiving unit 20 is configured to receive at least one first association index information, as well as PLMN index information and / or cell index information and / or tracking area code and / or RAN area code.

[0132] Optionally, the receiving unit 20 is further configured to receive cell list information or area indication information corresponding to the first associated index information.

[0133] Optionally, the cell list information includes one or more of the following: PLMN index information and cell index information; the area indication information includes one or more of the following: PLMN index information, tracking area code, and RAN area code.

[0134] Optionally, the terminal further includes: a reporting unit;

[0135] The reporting unit is configured to report the first AI model corresponding to the first associated index information as an applicable model or the first function corresponding to the first associated index information as an applicable function if the cell index information, tracking area code, or RAN area code of the first cell belongs to the cell list information or area indication information corresponding to the first associated index information; and to report the first AI model corresponding to the first associated index information as an unapplicable model or the first function corresponding to the first associated index information as an unapplicable function if the cell index information, tracking area code, or RAN area code of the first cell does not belong to the cell list information or area indication information corresponding to the first associated index information.

[0136] Optionally, the receiving unit 20 is further configured to receive at least one candidate cell index information and at least one second associated index information corresponding to the candidate cell index information.

[0137] Optionally, the reporting unit is further configured to: if the second association index of the first candidate cell belongs to the at least one first association index, report the first AI model corresponding to the first association index information as an applicable model or the first function corresponding to the first association index information as an applicable function; if the second association index of the first candidate cell does not belong to the at least one first association index, report the first AI model corresponding to the first association index information as an unapplicable model or the first function corresponding to the first association index information as an unapplicable function.

[0138] Optionally, the terminal further includes: a transmitting unit;

[0139] The transmitting unit is used to transmit first association index information, and / or PLMN index information and / or cell index information and / or tracking area code and / or radio access network RAN ​​area code to the network side.

[0140] Optionally, the receiving unit 20 is further configured to receive a reference signal measurement configuration or a non-AI reference signal measurement configuration corresponding to the first associated index information, which is the first AI model or the first function.

[0141] This disclosure provides a terminal that receives at least one first association index information, as well as PLMN index information and / or cell index information and / or tracking area code and / or RAN area code. Therefore, the terminal proposed in this embodiment has network devices configured with indication information of the application area of ​​the association ID, to assist the base station and / or the terminal in determining whether the base station parameters of the current cell match the association ID based on the application area of ​​the association ID and the current cell base station parameters and their location, thereby improving the performance of AI model / functional inference.

[0142] Figure 6 is a schematic diagram of the composition structure of a terminal 2 provided in an embodiment of this disclosure. In practical applications, based on the same disclosure concept of the above embodiments, as shown in Figure 6, the terminal 2 of this embodiment includes: a second processor 21, a second memory 22, and a second communication bus 23.

[0143] The second processor 21 described above can be at least one of ASIC, DSP, DSPD, PLD, FPGA, CPU, controller, microcontroller, and microprocessor. It is understood that, for different devices, the electronic device used to implement the above processor function can also be other types, and this embodiment does not impose specific limitations.

[0144] In this embodiment, the second communication bus 23 is used to realize the connection and communication between the second processor 21 and the second memory 22; when the second processor 21 executes the running program stored in the second memory 22, it implements the following configuration method:

[0145] Receive at least one first associated index information, as well as PLMN index information and / or cell index information and / or tracking area code and / or RAN area code.

[0146] Furthermore, the second processor 21 is also used to receive cell list information or area indication information corresponding to the first associated index information.

[0147] Furthermore, the cell list information includes one or more of the following: PLMN index information and cell index information; the area indication information includes one or more of the following: PLMN index information, tracking area code, and RAN area code.

[0148] Furthermore, the second processor 21 is also configured to, if the cell index information, tracking area code, or RAN area code of the first cell belongs to the cell list information or area indication information corresponding to the first associated index information, report the first AI model corresponding to the first associated index information as an applicable model or the first function corresponding to the first associated index information as an applicable function; if the cell index information, tracking area code, or RAN area code of the first cell does not belong to the cell list information or area indication information corresponding to the first associated index information, report the first AI model corresponding to the first associated index information as an unapplicable model or the first function corresponding to the first associated index information as an unapplicable function.

[0149] Furthermore, the second processor 21 is also configured to receive at least one candidate cell index information and at least one second associated index information corresponding to the candidate cell index information.

[0150] Furthermore, the second processor 21 is also configured to, if the second association index of the first candidate cell belongs to the at least one first association index, report the first AI model corresponding to the first association index information as an applicable model or the first function corresponding to the first association index information as an applicable function; if the second association index of the first candidate cell does not belong to the at least one first association index, report the first AI model corresponding to the first association index information as an unapplicable model or the first function corresponding to the first association index information as an unapplicable function.

[0151] Furthermore, the aforementioned second processor 21 is also used to send first association index information, and / or PLMN index information and / or cell index information and / or tracking area code and / or radio access network RAN ​​area code to the network side.

[0152] Furthermore, the aforementioned second processor 21 is also used to receive the reference signal measurement configuration or non-AI reference signal measurement configuration corresponding to the first AI model or first function of the first associated index information.

[0153] This disclosure provides a storage medium having a computer program stored thereon. The computer-readable storage medium stores one or more programs, which can be executed by one or more processors. The computer program implements the configuration method described above.

[0154] Based on the above embodiments, this disclosure provides a computer program product, including a computer program that can be executed by one or more processors, and the computer program implements the configuration method described above.

[0155] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0156] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the related technology, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions to cause an image display device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this disclosure.

[0157] The above description is merely a preferred embodiment of this disclosure and is not intended to limit the scope of protection of this disclosure.

Claims

1. A configuration method applied to a network device, the method comprising: configuring at least one first association index information, and public land mobile network (PLMN) index information and / or cell index information and / or tracking area code and / or radio access network (RAN) area code.

2. The method of claim 1, further comprising: configuring cell list information or area indication information corresponding to the first association index information.

3. The method of claim 2, wherein: the cell list information comprises one or more of the following: PLMN index information, cell index information; the area indication information comprises one or more of the following: PLMN index information, tracking area code, RAN area code.

4. The method of claim 1, further comprising: configuring at least one candidate cell index information, and at least one second association index information corresponding to the candidate cell index information.

5. The method of claim 2 or 4, further comprising: if a first AI model reported by a terminal is an applicable model or a first function is an applicable function, sending, to the terminal, reference signal measurement configuration of the first AI model or the first function; if the first AI model reported by the terminal is an inapplicable model or the first function is an inapplicable function, sending, to the terminal, reference signal measurement configuration of non-AI.

6. The method of claim 1, further comprising: receiving, from a terminal, first association index information, and / or PLMN index information and / or cell index information and / or tracking area code and / or RAN area code.

7. The method of claim 6, further comprising: sending, to the terminal, reference signal measurement configuration of a first AI model or a first function corresponding to the first association index information or reference signal measurement configuration of non-AI.

8. A configuration method applied to a terminal, the method comprising: receiving at least one first association index information, and PLMN index information and / or cell index information and / or tracking area code and / or RAN area code.

9. The method of claim 8, further comprising: receiving cell list information or area indication information corresponding to the first association index information.

10. The method of claim 9, wherein: the cell list information comprises one or more of the following: PLMN index information, cell index information; the area indication information comprises one or more of the following: PLMN index information, tracking area code, RAN area code.

11. The method of claim 9, further comprising: if cell index information or tracking area code or RAN area code of a first cell belongs to cell list information or area indication information corresponding to a first association index information, reporting that a first AI model corresponding to the first association index information is an applicable model or a first function corresponding to the first association index information is an applicable function. If the cell index information or the tracking area code or the RAN area code of the first cell does not belong to the cell list information or the area indication information corresponding to the first association index information, it is reported that the first AI model corresponding to the first association index information is an inapplicable model or the first function corresponding to the first association index information is an inapplicable function.

12. The method of claim 8, further comprising: receiving at least one candidate cell index information, and at least one second association index information corresponding to the candidate cell index information.

13. The method of claim 12, further comprising: If the second association index of the first candidate cell belongs to the at least one first association index, it is reported that the first AI model corresponding to the first association index information is an applicable model or the first function corresponding to the first association index information is an applicable function; If the second association index of the first candidate cell does not belong to the at least one first association index, it is reported that the first AI model corresponding to the first association index information is an inapplicable model or the first function corresponding to the first association index information is an inapplicable function.

14. The method of claim 8, further comprising: sending the first association index information, and / or the PLMN index information and / or the cell index information and / or the tracking area code and / or the radio access network (RAN) area code to the network side.

15. The method of claim 14, further comprising: receiving a reference signal measurement configuration of the first AI model or the first function corresponding to the first association index information or a non-AI reference signal measurement configuration.

16. A network device, comprising: a configuration unit configured to configure at least one first association index information, and a PLMN index information and / or a cell index information and / or a tracking area code and / or a RAN area code.

17. A terminal, comprising: a receiving unit configured to receive at least one first association index information, and a PLMN index information and / or a cell index information and / or a tracking area code and / or a RAN area code.

18. A network device comprising: a first processor, a first memory and a first communication bus; the first communication bus is configured to realize the connection communication between the first processor and the first memory; the first processor realizes the method of any one of claims 1-7 when executing the running program stored in the first memory.

19. A terminal, the terminal comprising: a second processor, a second memory and a second communication bus; the second communication bus is configured to realize the connection communication between the second processor and the second memory; the second processor realizes the method of any one of claims 8-15 when executing the running program stored in the second memory.

20. A storage medium having stored thereon a computer program, wherein, The computer program is executed by the first processor to realize the method of any one of claims 1-7, or executed by the second processor to realize the method of any one of claims 8-15.

21. A computer program product comprising a computer program, wherein, The computer program is executed by the first processor to realize the method of any one of claims 1-7, or executed by the second processor to realize the method of any one of claims 8-15.

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