Information transmission method and apparatus, and communication device

Abstract

The invention provides an information transmission method, an information transmission device and communication equipment. The method comprises: a first device sending node-related information to a second device, the node being a network node related to input information of a model and / or a function for positioning; wherein the node related information comprises at least one of the following items: number information of nodes; identification information of the node; measuring results of reference signals corresponding to the nodes; and information of a node expected by the first device. In the application, the first device sends the information of the node related to the input of the positioning model and / or the function to the second device, so that the second device can perform positioning related operation based on the node related information, and resource waste is avoided.

Description

Technical Field

[0001] This application relates to the field of communication technologies, and in particular, to an information transmission method, apparatus, and communication device. Background Art

[0002] Artificial Intelligence (AI) / Machine Learning (ML) has demonstrated excellent capabilities in Internet fields such as image recognition and speech recognition. At present, the capabilities of AI / ML in wireless communication systems are also being explored. For positioning, in direct AI / ML positioning, the AI / ML model directly outputs the location of the User Equipment (UE), and in AI / ML assisted positioning, the AI / ML model outputs intermediate measurement quantities, such as Time of Arrival (ToA).

[0003] The AI / ML model may be deployed on the UE side or the Next generation NodeB (gNB) side, or may also be deployed on the Location Management Function (LMF) side. In AI / ML model positioning, the side where the AI / ML model is not deployed cannot know the specific information input to the AI / ML model, which may lead to the transmission of useless information and waste of radio resources. Summary of the Invention

[0004] The purpose of this application is to provide an information transmission method, apparatus, and communication device, which solves the problem of resource waste in AI / ML model positioning.

[0005] An embodiment of this application provides an information transmission method, which is executed by a first device and includes:

[0006] The first device sends node-related information to a second device, where the node is a network node related to the input information of the model and / or function for positioning;

[0007] Wherein, the node-related information includes at least one of the following:

[0008] The quantity information of the nodes;

[0009] The identification information of the nodes;

[0010] The measurement result of the reference signal corresponding to the nodes;

[0011] The information of the nodes expected by the first device.

[0012] Optionally, the first device is a terminal or a base station, and the second device is a Location Management Function (LMF).

[0013] Or,

[0014] the first device is an LMF, and the second device is a terminal or a base station.

[0015] Optionally, the quantity information of the nodes includes at least one of the following:

[0016] The quantity of node combinations;

[0017] The quantity of nodes included in each node combination;

[0018] The maximum quantity of nodes included in each node combination;

[0019] The minimum quantity of nodes included in each node combination.

[0020] Optionally, the identification information of the nodes includes at least one of the following:

[0021] The identification of each node;

[0022] The identifications of the nodes included in each node combination;

[0023] The identification of each node combination;

[0024] The sorting mode corresponding to the identification of the nodes.

[0025] Optionally, the information of the nodes expected by the first device includes at least one of the following:

[0026] The node combinations expected by the first device;

[0027] The quantity of the node combinations expected by the first device;

[0028] The maximum quantity of the node combinations expected by the first device;

[0029] The minimum quantity of the node combinations expected by the first device;

[0030] The priority of the node combinations expected by the first device;

[0031] The nodes expected by the first device;

[0032] The quantity of the nodes expected by the first device;

[0033] The maximum quantity of the nodes expected by the first device;

[0034] The minimum quantity of the nodes expected by the first device;

[0035] The priority of the nodes expected by the first device;

[0036] The number of nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0037] The maximum number of nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0038] The minimum number of nodes corresponding to the reporting quantity that the first device expects the second device to send.

[0039] Optionally, the measurement result includes:

[0040] The measurement result obtained by the first device measuring the downlink (DL) positioning reference signal (PRS) sent by the node;

[0041] And / or

[0042] The measurement result obtained by the node measuring the uplink (UL) sounding reference signal (SRS) sent by the terminal.

[0043] Optionally, the node-related information includes at least one of the following functions:

[0044] For the second device to determine the node that sends the reference signal;

[0045] For the second device to determine the node that receives the reference signal;

[0046] For the second device to determine the reporting quantity sent to the first device;

[0047] For the second device to determine the input information for the model and / or function used for positioning.

[0048] Optionally, the node-related information includes at least one of the following functions:

[0049] When the first device is a terminal and the second device is an LMF, the node-related information is used by the LMF to determine the node that sends the DL-PRS;

[0050] When the first device is a base station and the second device is an LMF, the node-related information is used by the LMF to determine the node that receives the UL-SRS;

[0051] When the first device is an LMF and the second device is a terminal or a base station, the node-related information is used by the terminal or the base station to determine the reporting quantity that needs to be sent to the LMF, and the reporting quantity is used to determine the input information for the model and / or function used for positioning;

[0052] When the first device is an LMF and the second device is a terminal or a base station, the node-related information is used by the terminal or the base station to determine the input information for the positioning model and / or function.

[0053] Optionally, sending the node-related information to the second device includes at least one of the following:

[0054] During the model recognition process, sending the node-related information to the second device;

[0055] During the function recognition process, sending the node-related information to the second device;

[0056] During the data collection process, sending the node-related information to the second device.

[0057] Optionally, the node-related information is carried by the metadata of the model recognition, and / or the node-related information is carried by the capability information of the first device, and / or the node-related information is carried by the configuration information of the first device.

[0058] Optionally, the method further includes:

[0059] Determining a node screening criterion, which is used to determine the node corresponding to the node-related information;

[0060] Wherein, the node screening criterion includes at least one of the following:

[0061] Parameters for screening nodes;

[0062] Thresholds for the parameters for screening nodes;

[0063] Conditions for screening nodes.

[0064] Optionally, determining the node screening criterion includes:

[0065] Receiving the node screening criterion sent by the second device.

[0066] Optionally, before sending the node-related information to the second device, the method further includes:

[0067] Receiving the indication information sent by the second device, where the indication information is used to indicate that the first device reports the node-related information; and / or the indication information is used to indicate the information content of the node-related information.

[0068] Optionally, the node is a Transmission-Reception Point (TRP).

[0069] An embodiment of the present application provides an information transmission method, which is executed by a second device and includes:

[0070] The second device receives node-related information sent by a first device, where the node is a network node related to input information of a positioning model and / or function;

[0071] Perform positioning-related operations according to the node-related information;

[0072] Wherein, the node-related information includes at least one of the following:

[0073] The quantity information of the nodes;

[0074] The identification information of the nodes;

[0075] The measurement result of the reference signal corresponding to the node;

[0076] The information of the nodes expected by the first device.

[0077] Optionally, the first device is a terminal or a base station, and the second device is an LMF;

[0078] Or,

[0079] The first device is an LMF, and the second device is a terminal or a base station.

[0080] Optionally, the quantity information of the nodes includes at least one of the following:

[0081] The quantity of node combinations;

[0082] The quantity of nodes included in each node combination;

[0083] The maximum quantity of nodes included in each node combination;

[0084] The minimum quantity of nodes included in each node combination.

[0085] Optionally, the identification information of the nodes includes at least one of the following:

[0086] The identification of each node;

[0087] The identification of the nodes included in each node combination;

[0088] The identification of each node combination;

[0089] The sorting mode corresponding to the identification of the nodes.

[0090] Optionally, the information of the nodes expected by the first device includes at least one of the following:

[0091] The node combination expected by the first device;

[0092] The number of node combinations expected by the first device;

[0093] The maximum number of node combinations expected by the first device;

[0094] The minimum number of node combinations expected by the first device;

[0095] The priority of the node combinations expected by the first device;

[0096] The nodes expected by the first device;

[0097] The number of nodes expected by the first device;

[0098] The maximum number of nodes expected by the first device;

[0099] The minimum number of nodes expected by the first device;

[0100] The priority of the nodes expected by the first device;

[0101] The number of nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0102] The maximum number of nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0103] The minimum number of nodes corresponding to the reporting quantity that the first device expects the second device to send.

[0104] Optionally, the measurement result includes:

[0105] The measurement result obtained by the first device measuring the DL-PRS sent by the node;

[0106] And / or,

[0107] The measurement result obtained by the node measuring the UL-SRS sent by the terminal.

[0108] Optionally, the performing location-related operations according to the node-related information includes at least one of the following:

[0109] Determining the node that sends the reference signal according to the node-related information;

[0110] Determining the node that receives the reference signal according to the node-related information;

[0111] Determining the reporting quantity sent to the first device according to the node-related information;

[0112] Determining the input information for the model and / or function used for positioning according to the node-related information.

[0113] Optionally, the performing location-related operations according to the node-related information includes at least one of the following:

[0114] When the first device is a terminal and the second device is an LMF, the LMF determines the node for transmitting DL-PRS according to the node-related information;

[0115] When the first device is a base station and the second device is an LMF, the LMF determines the node for receiving UL-SRS according to the node-related information;

[0116] When the first device is an LMF and the second device is a terminal or a base station, the terminal or the base station determines the reporting amount to be sent to the LMF according to the node-related information, and the reporting amount is used to determine the input information of the model or function for positioning;

[0117] When the first device is an LMF and the second device is a terminal or a base station, the terminal or the base station determines the input information of the model and / or function for positioning according to the node-related information.

[0118] Optionally, receiving the node-related information sent by the first device includes at least one of the following:

[0119] Receiving the node-related information sent by the first device during the model recognition process;

[0120] Receiving the node-related information sent by the first device during the function recognition process;

[0121] Receiving the node-related information sent by the first device during the data collection process.

[0122] Optionally, the node-related information is carried by the metadata of the model recognition, and / or the node-related information is carried by the capability information of the first device, and / or the node-related information is carried by the configuration information of the first device.

[0123] Optionally, the method further includes:

[0124] Determining a node screening criterion, where the node screening criterion is used to determine the node corresponding to the node-related information;

[0125] Wherein, the node screening criterion includes at least one of the following:

[0126] Parameters for screening nodes;

[0127] Thresholds for the parameters for screening nodes;

[0128] Conditions for screening nodes.

[0129] Optionally, the method further includes:

[0130] Send the node screening criteria to the first device.

[0131] Optionally, before receiving the node-related information sent by the first device, the method further includes:

[0132] Send indication information to the first device, where the indication information is used to instruct the first device to report the node-related information; and / or, the indication information is used to indicate the information content of the node-related information.

[0133] Optionally, the node is a TRP.

[0134] An embodiment of the present application provides a communication device, which is a first device and includes: a memory, a transceiver, and a processor:

[0135] The memory is used to store computer programs; the transceiver is used to receive and send data under the control of the processor; the processor is used to read the computer programs in the memory and perform the following operations:

[0136] Send node-related information to a second device, where the node is a network node related to input information of a positioning model and / or function;

[0137] Wherein, the node-related information includes at least one of the following:

[0138] The quantity information of the nodes;

[0139] The identification information of the nodes;

[0140] The measurement result of the reference signal corresponding to the node;

[0141] The information of the nodes expected by the first device.

[0142] Optionally, the first device is a terminal or a base station, and the second device is an LMF;

[0143] Or,

[0144] The first device is an LMF, and the second device is a terminal or a base station.

[0145] Optionally, the quantity information of the nodes includes at least one of the following:

[0146] The quantity of node combinations;

[0147] The quantity of nodes included in each node combination;

[0148] The maximum quantity of nodes included in each node combination;

[0149] The minimum quantity of nodes included in each node combination.

[0150] Optionally, the identification information of the node includes at least one of the following:

[0151] The identification of each node;

[0152] The identification of the nodes included in each node combination;

[0153] The identification of each node combination;

[0154] The sorting mode corresponding to the identification of the node.

[0155] Optionally, the information of the nodes expected by the first device includes at least one of the following:

[0156] The node combination expected by the first device;

[0157] The quantity of the node combination expected by the first device;

[0158] The maximum quantity of the node combination expected by the first device;

[0159] The minimum quantity of the node combination expected by the first device;

[0160] The priority of the node combination expected by the first device;

[0161] The nodes expected by the first device;

[0162] The quantity of the nodes expected by the first device;

[0163] The maximum quantity of the nodes expected by the first device;

[0164] The minimum quantity of the nodes expected by the first device;

[0165] The priority of the nodes expected by the first device;

[0166] The quantity of the nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0167] The maximum quantity of the nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0168] The minimum quantity of the nodes corresponding to the reporting quantity that the first device expects the second device to send.

[0169] Optionally, the measurement result includes:

[0170] The measurement result obtained by the first device measuring the downlink DL positioning reference signal PRS sent by the node;

[0171] And / or

[0172] The measurement result obtained by the node measuring the uplink UL sounding reference signal SRS sent by the terminal.

[0173] Optionally, the node-related information includes at least one of the following functions:

[0174] The node for the second device to determine the transmission of reference signals;

[0175] The node for the second device to determine the reception of reference signals;

[0176] The reporting amount for the second device to determine the transmission to the first device;

[0177] The input information for the second device to determine the model and / or function for positioning.

[0178] Optionally, the node-related information includes at least one of the following functions:

[0179] When the first device is a terminal and the second device is an LMF, the node-related information is used by the LMF to determine the node for transmitting DL-PRS;

[0180] When the first device is a base station and the second device is an LMF, the node-related information is used by the LMF to determine the node for receiving UL-SRS;

[0181] When the first device is an LMF and the second device is a terminal or a base station, the node-related information is used by the terminal or the base station to determine the reporting amount to be sent to the LMF, and the reporting amount is used to determine the input information for the model and / or function for positioning;

[0182] When the first device is an LMF and the second device is a terminal or a base station, the node-related information is used by the terminal or the base station to determine the input information for the model and / or function for positioning.

[0183] Optionally, the processor is configured to read the computer program in the memory and perform at least one of the following operations:

[0184] During the model recognition process, send the node-related information to the second device;

[0185] During the function recognition process, send the node-related information to the second device;

[0186] During the data collection process, send the node-related information to the second device.

[0187] Optionally, the node-related information is carried by the metadata of model recognition, and / or, the node-related information is carried by the capability information of the first device, and / or, the node-related information is carried by the configuration information of the first device.

[0188] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0189] Determine a node screening criterion for determining a node corresponding to the node-related information;

[0190] Wherein, the node screening criterion includes at least one of the following:

[0191] A parameter for screening nodes;

[0192] A threshold for a parameter for screening nodes;

[0193] A condition for screening nodes.

[0194] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0195] Receive the node screening criterion sent by a second device.

[0196] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0197] Receive indication information sent by the second device, where the indication information is used to instruct the first device to report the node-related information; and / or, the indication information is used to indicate the information content of the node-related information.

[0198] Optionally, the node is a transmission reception point (TRP).

[0199] An embodiment of the present application provides a communication device, which is a second device, including: a memory, a transceiver, and a processor:

[0200] A memory for storing a computer program; a transceiver for receiving and sending data under the control of the processor; a processor for reading the computer program in the memory and performing the following operations:

[0201] Receive node-related information sent by a first device, where the node is a network node related to input information of a positioning model and / or function;

[0202] Perform positioning-related operations according to the node-related information;

[0203] Wherein, the node-related information includes at least one of the following:

[0204] The quantity information of nodes;

[0205] The identification information of nodes;

[0206] The measurement result of the reference signal corresponding to the node;

[0207] Information of the nodes expected by the first device.

[0208] Optionally, the first device is a terminal or a base station, and the second device is an LMF;

[0209] Or,

[0210] The first device is an LMF, and the second device is a terminal or a base station.

[0211] Optionally, the quantity information of the nodes includes at least one of the following:

[0212] The quantity of node combinations;

[0213] The quantity of nodes included in each node combination;

[0214] The maximum quantity of nodes included in each node combination;

[0215] The minimum quantity of nodes included in each node combination.

[0216] Optionally, the identification information of the nodes includes at least one of the following:

[0217] The identification of each node;

[0218] The identifications of the nodes included in each node combination;

[0219] The identification of each node combination;

[0220] The sorting mode corresponding to the identification of the nodes.

[0221] Optionally, the information of the nodes expected by the first device includes at least one of the following:

[0222] The node combinations expected by the first device;

[0223] The quantity of the node combinations expected by the first device;

[0224] The maximum quantity of the node combinations expected by the first device;

[0225] The minimum quantity of the node combinations expected by the first device;

[0226] The priority of the node combinations expected by the first device;

[0227] The nodes expected by the first device;

[0228] The quantity of the nodes expected by the first device;

[0229] The maximum quantity of the nodes expected by the first device;

[0230] The minimum quantity of the nodes expected by the first device;

[0231] The priority of the nodes expected by the first device;

[0232] The number of nodes corresponding to the reporting amount that the first device expects the second device to send;

[0233] The maximum number of nodes corresponding to the reporting amount that the first device expects the second device to send;

[0234] The minimum number of nodes corresponding to the reporting amount that the first device expects the second device to send.

[0235] Optionally, the measurement result includes:

[0236] The measurement result obtained by the first device measuring the DL-PRS sent by the node;

[0237] And / or,

[0238] The measurement result obtained by the node measuring the UL-SRS sent by the terminal.

[0239] Optionally, the processor is used to read the computer program in the memory and perform at least one of the following operations:

[0240] Determine the nodes that send reference signals according to the node-related information;

[0241] Determine the nodes that receive reference signals according to the node-related information;

[0242] Determine the reporting amount sent to the first device according to the node-related information;

[0243] Determine the input information for the model and / or function used for positioning according to the node-related information.

[0244] Optionally, the processor is used to read the computer program in the memory and perform at least one of the following operations:

[0245] When the first device is a terminal and the second device is an LMF, the LMF determines the nodes that send DL-PRS according to the node-related information;

[0246] When the first device is a base station and the second device is an LMF, the LMF determines the nodes that receive UL-SRS according to the node-related information;

[0247] When the first device is an LMF and the second device is a terminal or a base station, the terminal or the base station determines the reporting amount that needs to be sent to the LMF according to the node-related information, and the reporting amount is used to determine the input information for the model or function used for positioning;

[0248] When the first device is an LMF and the second device is a terminal or a base station, the terminal or the base station determines input information for a positioning model and / or function according to the node-related information.

[0249] Optionally, the processor is configured to read a computer program in the memory and perform at least one of the following operations:

[0250] Receive node-related information sent by the first device during the model recognition process;

[0251] Receive node-related information sent by the first device during the function recognition process;

[0252] [[ID=B]]Receive node-related information sent by the first device during the data collection process.

[0253] Optionally, the node-related information is carried by metadata of model recognition, and / or the node-related information is carried by capability information of the first device, and / or the node-related information is carried by configuration information of the first device.

[0254] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0255] Determine a node screening criterion for determining a node corresponding to the node-related information;

[0256] Wherein, the node screening criterion includes at least one of the following:

[0257] Parameters for screening nodes;

[0258] Thresholds for parameters for screening nodes;

[0259] Conditions for screening nodes.

[0260] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0261] Send the node screening criterion to the first device.

[0262] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0263] Send indication information to the first device, where the indication information is used to instruct the first device to report the node-related information; and / or the indication information is used to indicate the information content of the node-related information.

[0264] Optionally, the node is a TRP.

[0265] An embodiment of the present application provides an information transmission device, which is applied to a first device and includes:

[0266] A first sending unit, configured to send node-related information to a second device, where the node is a network node related to input information of a model and / or function for positioning;

[0267] Wherein, the node-related information includes at least one of the following:

[0268] The quantity information of the nodes;

[0269] The identification information of the nodes;

[0270] The measurement result of the reference signal corresponding to the node;

[0271] The information of the nodes expected by the first device.

[0272] An embodiment of the present application provides an information transmission device, which is applied to a second device and includes:

[0273] A first receiving unit, configured to receive the node-related information sent by the first device, where the node is a network node related to input information of a model and / or function for positioning;

[0274] A processing unit, configured to perform positioning-related operations according to the node-related information;

[0275] Wherein, the node-related information includes at least one of the following:

[0276] The quantity information of the nodes;

[0277] The identification information of the nodes;

[0278] The measurement result of the reference signal corresponding to the node;

[0279] The information of the nodes expected by the first device.

[0280] An embodiment of the present application provides a processor-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above information transmission method are implemented.

[0281] An embodiment of the present application provides a computer program product, including computer instructions, and when the computer instructions are executed by a processor, the steps of the above information transmission method are implemented.

[0282] The beneficial effects of the above technical solutions of the present application are:

[0283] In the embodiment of the present application, the first device sends information of nodes related to the input of the positioning model and / or function to the second device, enabling the second device to perform positioning-related operations based on the node-related information, thus avoiding resource waste. Brief Description of the Drawings

[0284] Figure 1 Schematic diagram showing the input and output of the AI / ML model;

[0285] Figure 2 One of the schematic flowcharts showing the information transmission method according to an embodiment of the present application;

[0286] Figure 3 Another schematic flowchart showing the information transmission method according to an embodiment of the present application;

[0287] Figure 4 One of the schematic structural diagrams showing the information transmission device according to an embodiment of the present application;

[0288] Figure 5 Another schematic structural diagram showing the information transmission device according to an embodiment of the present application;

[0289] Figure 6 One of the schematic structural diagrams showing the communication device according to an embodiment of the present application;

[0290] Figure 7 Another schematic structural diagram showing the communication device according to an embodiment of the present application. Detailed Description of the Embodiments

[0291] To make the technical problems to be solved, technical solutions and advantages of the present application clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments. In the following description, specific details such as specific configurations and components are provided only to assist in a comprehensive understanding of the embodiments of the present application. Therefore, those skilled in the art should clearly understand that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. Additionally, descriptions of known functions and structures are omitted for clarity and conciseness.

[0292] It should be understood that the "one embodiment" or "an embodiment" mentioned throughout the specification means that a specific feature, structure, or characteristic related to the embodiment is included in at least one embodiment of the present application. Therefore, the appearances of "in one embodiment" or "in an embodiment" throughout the specification do not necessarily refer to the same embodiment. Moreover, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments.

[0293] In various embodiments of the present application, it should be understood that the order numbers of the following processes do not imply the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0294] In the embodiments of the present application, the term "and / or" describes the association relationship of associated objects and indicates that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after.

[0295] In the embodiments of the present application, the term "plurality" refers to two or more, and other quantifiers are similar.

[0296] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the protection scope of the present application.

[0297] When explaining the embodiments of the present application, some concepts used in the following description will be explained first.

[0298] I. AI / ML Model

[0299] When the AI / ML model performs inference, the input of the model can be the channel-related information obtained after the UE measures the DL-PRS sent by the TRP; or, the input of the model can be the channel-related information obtained after the TRP measures the UL-SRS-pos sent by the UE. As Figure 1 shown, the channel-related information is, for example: Channel Impulse Response (CIR), Channel Frequency Response (CFR), Power Delay Profile (PDP), Delay Profile (DP), etc. The output of the model can be the UE position or an intermediate quantity for determining the UE position.

[0300] II. AI / ML Positioning Scheme

[0301] (1) For UE-based positioning, an AI / ML model is deployed on the UE side to achieve direct AI / ML positioning or AI / ML-assisted positioning;

[0302] (2) For UE-assisted / LMF-based positioning, an AI / ML model is deployed on the UE side to achieve AI / ML-assisted positioning;

[0303] (3) For UE-assisted / LMF-based positioning, an AI / ML model is deployed on the LMF side to achieve direct AI / ML positioning;

[0304] (4) Next Generation Radio Access Network (NG-RAN) node assisted positioning, deploying an AI / ML model on the gNB side to achieve AI / ML assisted positioning;

[0305] (5) NG-RAN node assisted positioning, deploying an AI / ML model on the LMF side to achieve direct AI / ML positioning.

[0306] Among them, the models of solutions (1) and (2) are deployed on the UE side, and the output results of the models are intermediate quantities for determining the UE position (AI / ML assisted positioning, the output of the model can be ToA, Reference Signal Time Difference (RSTD), etc.), or the output result of the model is the UE position. The model of solution (4) is deployed on the gNB / TRP side, and the output result of the model is an intermediate quantity for determining the UE position.

[0307] For the UE-side models of solutions (1) and (2), the number of TRPs measured by the UE can be multiple TRPs, for example: 18 TRPs. The UE can obtain the channel-related information corresponding to 18 TRPs respectively through the DL-PRSs sent by 18 TRPs, and the input of the model is determined based on the channel-related information corresponding to 18 TRPs obtained by the UE.

[0308] If in all the data for training the model, the TRPs corresponding to the channel-related information of the input of the model are the same, it can be called the fixed TRP pattern, for example, the input of the model for all the training data is determined by the channel-related information corresponding to fixed 18 TRPs. The UE may also, for the following reasons, measure the DL-PRSs sent by some of the 18 TRPs to obtain the corresponding channel-related information to determine the input of the model. At this time, in all the data for training the model, the partial TRPs among the 18 TRPs corresponding to the input of the model for different data may be different, that is, in the training data of the model, there are multiple TRP patterns (partial TRPs among the 18 TRPs form the TRP pattern) to obtain the channel-related information to determine the input of the model. In this case, the TRPs corresponding to the channel-related information of the input of the model may be variable, which can be called the dynamic TRP pattern.

[0309] The reasons for the UE to measure the channel-related information by the dynamic TRP pattern can be:

[0310] 1) Impact of network energy saving, such as a certain TRP being unable to send DL-PRS for energy saving purposes;

[0311] 2) Provide flexibility to the base station. For example, when the interference caused by some TRPs sending DL-PRS in TRP pattern 1 is relatively severe, the base station can send DL-PRS according to TRP pattern 2;

[0312] 3) The measurement results of some of the 18 TRPs measured by the UE may have relatively large interference and poor signal quality.

[0313] For the gNB-side model of solution (4), similar to the UE-side model, the input of the model can be determined based on the UL-SRS-pos sent by the UE measured on multiple TRPs. For all the data for training the model, the TRPs corresponding to the channel-related information input to the model may be the same or different, that is, the input of the gNB-side model may be determined based on the UL-SRS-pos channel-related information obtained from the TRPs corresponding to the fixed TRP pattern or the dynamic TRP pattern.

[0314] For the LMF-side model of solution (3), the input of the model can be determined based on the channel-related information corresponding to the DL-PRS sent by multiple TRPs measured by the UE. For the LMF-side model of solution (5), the input of the model can be determined based on the channel-related information corresponding to the UL-SRS-pos sent by the UE measured on multiple TRPs. Whether it is solution (3) or solution (5), for all the data for training the model, the TRPs corresponding to the channel-related information input to the model may be the same or different, that is, the input of the LMF-side model may be determined based on the DL-PRS channel-related information obtained from the UE corresponding to the fixed TRP pattern or the dynamic TRP pattern or the UL-SRS-pos channel-related information obtained from the TRPs.

[0315] Embodiments of the present application provide an information transmission method, apparatus, and communication device to solve the problem of resource waste in AI / ML model positioning.

[0316] Among them, the method and the apparatus are based on the same inventive concept. Since the principles of the method and the apparatus for solving problems are similar, the implementation of the apparatus and the method can be referred to each other, and the repeated parts will not be elaborated.

[0317] As Figure 2 shown, embodiments of the present application provide an information transmission method applied to a first device, specifically including the following steps:

[0318] Step 201: The first device sends node-related information to the second device, where the node is a network node related to the input information of the model and / or function for positioning.

[0319] Among them, the node-related information includes at least one of the following:

[0320] The quantity information of the nodes;

[0321] The identification information of the nodes;

[0322] The measurement result of the reference signal corresponding to the node;

[0323] The information of the nodes expected by the first device; the information of the nodes expected by the first device can be the expected node information determined by the first device based on historical experience, or the optimal node information determined by the first device according to the signal measurement result, or the node information corresponding to the data that the first device expects to collect during the collection of the data set.

[0324] In this embodiment, the first device may be a device deployed with a model or function for positioning. In this case, the first device sends the information of the network nodes related to the input information of the model and / or function for positioning to the second device, informing the second device of the nodes corresponding to the input information of its own model, so that the second device can perform positioning-related operations based on the node-related information. For example: configuring the nodes for receiving and / or sending reference signals, thereby avoiding wasting resources caused by configuring redundant nodes; the second device can also determine which reporting quantities need to be reported to the first device according to the node-related information, thereby avoiding wasting resources caused by reporting redundant information.

[0325] The second device may also be a device deployed with a model or function for positioning. In this case, the first device instructs the second device of the information of the network nodes related to the input information of the model and / or function for positioning, so that the second device can determine the input information of the model and / or function according to the node-related information, avoiding wasting resources caused by using the information of some unnecessary nodes.

[0326] Optionally, the model for positioning may be an AI model and / or an ML model.

[0327] In the embodiment of the present application, the first device sends the information of the nodes related to the input of the positioning model and / or function to the second device, so that the second device can perform positioning-related operations based on the node-related information, avoiding wasting resources.

[0328] Optionally, the first device is a terminal or a base station, and the second device is an LMF;

[0329] Or,

[0330] The first device is the LMF, and the second device is a terminal or a base station.

[0331] In this embodiment, the positioning model and / or function can be deployed on the terminal side, or on the base station side and / or the LMF side. Taking the first device as a terminal / gNB and the second device as the LMF as an example, assuming that the positioning model and / or function is deployed on the terminal / gNB side, the UE / gNB sends node-related information to the LMF, and the LMF can determine which nodes will send downlink reference signals and / or receive uplink reference signals based on this node-related information, thereby avoiding resource waste caused by configuring redundant network nodes to send and / or receive signals.

[0332] Taking the first device as the LMF and the second device as the terminal / gNB as an example, assuming that the positioning model and / or function is deployed on the LMF side, the LMF sends node-related information to the terminal / gNB, and the terminal can determine which network nodes' reference signals to receive, or the gNB can determine which network nodes will receive the reference signals sent by the terminal, and then report the measurement channel-related information corresponding to the corresponding nodes to the LMF, avoiding unnecessary signal measurement and information reporting.

[0333] Taking the first device as the LMF and the second device as the terminal / gNB as an example, assuming that the positioning model and / or function is deployed on the terminal / gNB side, the LMF can indicate the node-related information of a model and / or function to the terminal / gNB, so that the terminal / gNB can determine the input of the model and / or function according to this node-related information, avoiding resource waste caused by using unnecessary information.

[0334] Optionally, the node is a transmission and reception point (TRP). That is, the first device sends TRP-related information to the second device. The TRP-related information can be the related information of multiple TRPs, and the TRP-related information is related to the input of the positioning model and / or function.

[0335] The node in the embodiment of the present application may refer to a TRP node. For an AI / ML model or a positioning function, its input can be the channel-related information obtained by the terminal measuring the downlink reference signal sent by the TRP. In this case, the TRP can be one or more; or, its input can be the channel-related information obtained by the TRP or the gNB measuring the uplink reference signal sent by the terminal. In this case, the input of the model and / or function can be determined based on the uplink reference signal sent by the terminal measured by one or more TRPs.

[0336] It should be noted that the gNB in the embodiment of the present application can be the TRP itself, or the gNB can include one or more TRPs.

[0337] Optionally, the quantity information of the nodes includes at least one of the following:

[0338] 1) The number of node combinations; the first device may indicate the number of node combinations related to the input information of the model and / or function for positioning; the number of node combinations may be greater than or equal to 1;

[0339] 2) The number of nodes included in each node combination; a node combination may include one or more nodes; the first device may indicate the number of nodes included in each of the node combinations related to the input information of the model and / or function for positioning;

[0340] 3) The maximum number of nodes included in each node combination; the first device may indicate the maximum number of nodes included in each of the node combinations related to the input information of the model and / or function for positioning; the maximum number may be greater than or equal to 1;

[0341] 4) The minimum number of nodes included in each node combination. The first device may indicate the minimum number of nodes included in each of the node combinations related to the input information of the model and / or function for positioning; the minimum number may be greater than or equal to 1.

[0342] Optionally, the identification information of the nodes includes at least one of the following:

[0343] The identification of each node;

[0344] The identifications of the nodes included in each node combination;

[0345] The identification of each node combination;

[0346] The sorting pattern corresponding to the identification of the nodes; the nodes may be sorted or numbered in different patterns, and in different patterns, the identification corresponding to the same node may be different.

[0347] Optionally, the measurement results include:

[0348] The measurement results obtained by the first device measuring the downlink DL positioning reference signal PRS sent by the nodes;

[0349] and / or,

[0350] The measurement results obtained by the nodes measuring the uplink UL sounding reference signal SRS sent by the terminal.

[0351] In this embodiment, the first device may send the measurement results corresponding to one or more nodes or node combinations to the second device. For example, the measurement result is the RSRP obtained by the UE measuring the DL-PRS sent by the TRP, or the measurement result is the RSRP obtained by the TRP measuring the UL-SRS-pos sent by the UE.

[0352] Optionally, the information of the nodes expected by the first device includes at least one of the following:

[0353] The node combination expected by the first device;

[0354] The number of node combinations expected by the first device;

[0355] The maximum number of node combinations expected by the first device;

[0356] The minimum number of node combinations expected by the first device;

[0357] The priority of the node combination expected by the first device;

[0358] The nodes expected by the first device;

[0359] The number of nodes expected by the first device;

[0360] The maximum number of nodes expected by the first device;

[0361] The minimum number of nodes expected by the first device;

[0362] The priority of the nodes expected by the first device;

[0363] The number of nodes corresponding to the reporting quantity that the first device expects the second device to send; For example: The LMF sends the number of TRPs corresponding to the channel-related information that it expects the UE / gNB to feedback to the UE / gNB;

[0364] The maximum number of nodes corresponding to the reporting quantity that the first device expects the second device to send; For example: The LMF sends the maximum number of TRPs corresponding to the channel-related information that it expects the UE / gNB to feedback to the UE / gNB;

[0365] The minimum number of nodes corresponding to the reporting quantity that the first device expects the second device to send; For example: The LMF sends the minimum number of TRPs corresponding to the channel-related information that it expects the UE / gNB to feedback to the UE / gNB.

[0366] As an optional embodiment, the node-related information includes at least one of the following functions:

[0367] (1) The nodes for the second device to determine to send reference signals;

[0368] For example: The positioning model is deployed on the first device side, and the first device sends the relevant information of the TRP corresponding to the input information of the positioning model to the second device; The second device can determine the TRP for sending the downlink reference signal based on the relevant information of the TRP, so as to avoid waste of air interface resources caused by redundant TRPs sending signals.

[0369] (2) The node for the second device to determine the received reference signal;

[0370] For example: A positioning model is deployed on the first device side, and the first device sends the relevant information of the TRP corresponding to the input information of the positioning model to the second device; the second device can determine the TRP for receiving the uplink reference signal based on the relevant information of the TRP, so as to avoid wasting air interface resources caused by configuring redundant TRPs for signal reception.

[0371] (3) The node for the second device to determine the reporting amount sent to the first device;

[0372] For example: A positioning model is deployed on the first device side, and the first device sends the relevant information of the TRP corresponding to the input information of the positioning model to the second device; the second device can determine which reporting amounts need to be reported to the first device based on the relevant information of the TRP for determining the model input, so as to avoid wasting resources caused by sending unnecessary reporting amounts.

[0373] (4) The node for the second device to determine the input information of the model and / or function for positioning.

[0374] For example: A positioning model is deployed on the second device side, and the first device sends the relevant information of the TRP corresponding to the input information of the positioning model to the second device; the second device can determine the input information of the model based on the relevant information of the TRP.

[0375] As an optional embodiment, the node-related information includes at least one of the following functions:

[0376] (1) When the first device is a terminal and the second device is an LMF, the node-related information is used for the LMF to determine the node for sending DL-PRS;

[0377] For example: The node is a TRP, the UE sends the TRP-related information to the LMF, and the LMF determines which TRPs are used to send DL-PRS to the UE based on the TRP-related information; the UE can determine the input of the positioning model and / or function based on the channel-related information obtained by measuring the DL-PRS.

[0378] (2) When the first device is a base station and the second device is an LMF, the node-related information is used for the LMF to determine the node for receiving UL-SRS;

[0379] For example: The node is a TRP, the gNB sends the TRP-related information to the LMF, and the LMF determines which TRPs are used to receive the UL-SRS sent by the UE based on the TRP-related information; the gNB can determine the input of the positioning model and / or function based on the channel-related information obtained by measuring the UL-SRS-pos of the TRP.

[0380] (3) When the first device is an LMF and the second device is a terminal or a base station, the node-related information is used by the terminal or the base station to determine the reporting amount to be sent to the LMF, and the reporting amount is used to determine the input information for the positioning model and / or function;

[0381] For example: The node is a TRP, the LMF sends TRP-related information to the UE / gNB, and the UE / gNB determines which TRP-related reporting amounts need to be reported to the LMF based on this TRP-related information; the LMF can determine the input of the positioning model and / or function based on the reporting amounts of the UE / gNB.

[0382] (4) When the first device is an LMF and the second device is a terminal or a base station, the node-related information is used by the terminal or the base station to determine the input information for the positioning model and / or function.

[0383] For example: The node is a TRP, the LMF sends TRP-related information to the UE / gNB, and the UE / gNB determines the input of the positioning model and / or function based on this TRP-related information.

[0384] In this embodiment, for the UE-side model or the gNB-side model, the input of the model may be determined based on the dynamic TRP mode. The LMF can determine which TRPs in which TRP patterns are more suitable for sending DL-PRS based on the TRP-related information sent by the UE / gNB, thereby avoiding waste of radio resource overhead caused by unnecessary DL-PRS sent by the TRPs.

[0385] For the above LMF-side model, the UE / gNB can determine the DL-PRS / UL-SRS-pos channel-related information corresponding to the TRPs for which reference signals should be sent or received based on the TRP-related information sent by the LMF, thereby avoiding the UE / gNB from feeding back incorrect or unnecessary channel-related information to the LMF.

[0386] As an optional embodiment, the sending of the node-related information to the second device includes at least one of the following:

[0387] During the model recognition process, sending the node-related information to the second device;

[0388] During the function recognition process, sending the node-related information to the second device;

[0389] During the data collection process, sending the node-related information to the second device.

[0390] In this embodiment, when a positioning model is deployed on the first device side, the first device may send the node-related information to the second device during the model recognition process. For example, the node-related information may be carried in the metadata information of the model recognition. When a positioning function is deployed on the first device side, the first device may send the node-related information to the second device during the function recognition process. If the first device deploys a positioning model and / or a positioning function, the first device may send the node-related information to the second device during the data collection process. For example, the first device sends a data request message to the second device, and the node-related information is carried in the data request message.

[0391] Optionally, the node-related information is carried by the metadata of the model recognition, and / or the node-related information is carried by the capability information of the first device, and / or the node-related information is carried by the configuration information of the first device.

[0392] In this embodiment, the first device may send metadata to the second device during the model recognition process, and carry the node-related information in the metadata; the first device may also send its own capability information to the second device, and carry the node-related information in the capability information; the first device may also send configuration information to the second device, and the configuration corresponding to the configuration information is the configuration supported by the first device, and carry the node-related information in the configuration information.

[0393] As an optional embodiment, the method further includes:

[0394] Determine a node screening criterion for determining the node corresponding to the node-related information;

[0395] Wherein, the node screening criterion includes at least one of the following:

[0396] Parameters for screening nodes; for example: Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), Signal-to-noise and Interference Ratio (SINR), etc.;

[0397] Thresholds for the parameters for screening nodes; for example: the maximum (minimum) threshold value corresponding to RSRP, the maximum (minimum) threshold value corresponding to RSRQ, the maximum (minimum) threshold value corresponding to SINR, etc.;

[0398] Conditions for screening nodes; for example: RSRP needs to satisfy being greater than a first value; RSRQ needs to satisfy being greater than a second value; SINR needs to satisfy being greater than a third value.

[0399] Optionally, the determining of the node screening criterion includes: receiving the node screening criterion sent by a second device.

[0400] In this embodiment, the node screening criterion can be determined by the first device or determined by the second device and sent to the first device. The node screening criterion can be used by the first device to determine the nodes involved in the node-related information. For example: The first device determines the information of the desired nodes according to the node screening criterion.

[0401] As an optional embodiment, before sending the node-related information to the second device, the method further includes:

[0402] Receiving the indication information sent by the second device, where the indication information is used to instruct the first device to report the node-related information; and / or, the indication information is used to indicate the information content of the node-related information.

[0403] For example: The second device can send indication information to the first device to instruct the first device to report the TRP-related information and / or the specific content in the TRP-related information. The first device sends the TRP-related information to the second device based on this indication information.

[0404] Optionally, the first device can also send other information to the second device, such as: cell identifier, sub-cell identifier, sub-area identifier, etc.

[0405] The implementation process of the information transmission method is described below for different first devices and second devices respectively.

[0406] Example 1: The first device is a UE, and an AI model / function is deployed on the UE side.

[0407] Step 11: The UE determines the TRP-related auxiliary information (i.e., the above-mentioned node-related information), and this TRP-related auxiliary information is related to the input for determining the AI model / function;

[0408] Step 12: The UE sends the TRP-related information to the LMF.

[0409] In this embodiment, the AI model is deployed on the UE side. The input of the AI model can be DL-PRS channel-related information obtained by the UE measuring the DL-PRS signals sent by the TRP. This channel-related information includes, for example: CIR, PDP, DP, RSRP, etc. Among them, there can be multiple TRPs measured by the UE, that is, the UE obtains DL-PRS channel-related information corresponding to multiple TRPs by measuring the DL-PRS signals sent by multiple TRPs. The input of the AI model is determined based on this channel-related information. The output of the AI model is the UE location or an intermediate quantity related to the location. This location-related intermediate quantity includes, for example: ToA, Angle of Arrival (AoA), RSTD, RSRP, Line of Sight (LOS), Non-Line of Sight (NLOS) indication identifier, etc.

[0410] After the AI model is deployed on the UE, the UE may need to perform a model identification process. For example, the UE sends the key information related to the AI model to the LMF, and the LMF can configure an appropriate TRP combination to send DL-PRS based on this key information. For example, the UE can send the TRP-related information to the LMF, and this information can be carried in the model metadata information of the model identification; or, the UE can send the TRP-related information during the function identification process of the AI model.

[0411] Among them, the TRP-related information may include at least one of the following:

[0412] 1) The number of TRP combinations: In the training data of this AI model, the input data of each training data is the DL-PRS channel-related information corresponding to multiple TRPs. In this embodiment, multiple TRPs are referred to as a TRP combination. The TRP combinations corresponding to the input data of different training data may be different. The number of TRP combinations is the total number of possible TRP combinations corresponding to the input data of all training data of this AI model.

[0413] 2) TRP combination: A TRP combination includes at least one TRP, and each TRP has a TRP identifier. Optionally, the TRP identifier can be a TRP ID or a DL-PRS ID. The UE can send all possible TRP combinations of this AI model to the LMF. For example: The number of TRP combinations corresponding to the input data of the AI model is 20, and the UE sends all these 20 TRP combinations to the LMF. Specifically, the UE also sends the TRP identifiers included in each TRP combination to the LMF. Or, the LMF indicates the identifiers of some TRP combinations, or some TRP combination identifiers are agreed upon by the protocol, and the UE can send the identifiers of the desired partial TRP combinations to the LMF.

[0414] 3) Number of TRPs included in a TRP combination: The number of TRPs corresponding to each TRP combination among all possible TRP combinations of the AI model may be the same, and the UE can send the number of TRPs included in a TRP combination to the LMF.

[0415] 4) Maximum number of TRPs included in a TRP combination: The number of TRPs corresponding to each TRP combination among all possible TRP combinations of the AI model may be different, and the UE can send the maximum number of TRPs included in a TRP combination to the LMF.

[0416] 5) Minimum number of TRPs included in a TRP combination: The number of TRPs corresponding to each TRP combination among all possible TRP combinations of the AI model may be different, and the UE can send the minimum number of TRPs included in a TRP combination to the LMF.

[0417] 6) Version of the TRP identifier (i.e., sorting mode): The TRP ID corresponding to the TRP may change. For example, the TRP ID of a certain TRP is 1 at time T1, and after a period of time, the TRP ID becomes 3. When the TRP identifier does not change, the version number of the TRP identifier remains unchanged. The UE can send the version number of the TRP identifier to the LMF, and the LMF maintains a correspondence list between the TRP and the TRP identifier in a version of the TRP identifier. The LMF can correctly configure the TRP corresponding to the TRP identifier to send DL-PRS according to the version of the TRP identifier.

[0418] It should be noted that in addition to sending the above TRP-related information to the LMF during the model recognition process, the UE can also report the TRP-related information through other channels. For example, the UE reports the TRP-related information during the capability reporting process, or the UE reports the TRP-related information in the positioning configuration it supports.

[0419] If the UE performs data collection for the UE-side AI model, the UE can carry the above TRP-related information in the data request information during data collection. By carrying the TRP-related information in the data request information to the LMF, the LMF can refer to the TRP-related information to configure an appropriate TRP combination to send DL-PRS, so that the UE can collect appropriate training data to train the UE-side AI model.

[0420] Optionally, when the UE performs data collection, it can carry at least one of the following information in the data request information during the data collection process to the LMF:

[0421] (1) M "TRP combinations" desired / preferred by the UE, where M is greater than or equal to 1;

[0422] a: The M "TRP combinations" can be M "TRP combinations" determined by the UE based on historical experience; or, the M "TRP combinations" can be M "TRP combinations" determined by the UE after measuring the DL-PRS sent by all TRPs in the TRP set and based on the measurement results of the DL-PRS.

[0423] b: When the UE sends the M "TRP combinations", the following information may also be sent:

[0424] b1: The specific value of M.

[0425] b2: The priority corresponding to each "TRP combination". After receiving the M "TRP combinations" preferred by the UE, the LMF can also know the priority / expectation of the UE among the M "TRP combinations" through the priority corresponding to each "TRP combination".

[0426] b3: For each "TRP combination", the measurement result corresponding to each TRP.

[0427] (2): The N TRPs expected / preferred by the UE.

[0428] c: The N TRPs can be N TRPs determined by the UE based on historical experience; or, the N TRPs can be N TRPs determined by the UE after measuring the DL-PRS sent by all TRPs in the TRP set and based on the measurement results of the DL-PRS. For example, the N TRPs with the highest RSRP in the measurement results of the DL-PRS.

[0429] d: When the UE sends the information of the N TRPs expected / preferred, the following information may also be sent:

[0430] d1: The specific value of N.

[0431] d2: The arrangement order of the N TRPs. For example, sorted from largest to smallest according to RSRP.

[0432] d3: The measurement result of each TRP.

[0433] In this embodiment, the values of M and N can be agreed upon by the protocol. For example, M = 4, and the UE fixedly sends 4 expected or preferred TRP combinations to the LMF. Or, M and N are values configured by the network device (LMF). The UE needs to receive the values of M and N configured by the LMF before sending the M "TRP combinations" or N TRPs.

[0434] In addition, the LMF may also send the UE metrics for screening M "TRP combinations" or N TRPs, such as RSRP, RSRQ, SINR, etc. When the UE determines M "TRP combinations" or N TRPs, it performs TRP combination or TRP screening according to the type of specific screening metrics sent by the LMF.

[0435] In addition to sending the metrics for screening TRPs, the LMF can also send the conditions or thresholds that the metrics need to meet. For example, if the LMF indicates that the RSRP needs to be greater than -20 dB, then when the UE determines the desired TRP combination or TRP, the TRP with a DL-PRS measurement result greater than the -20 dB threshold is the desired TRP combination or TRP that meets the conditions. The metrics for screening TRPs can also be specified by the protocol rather than being indicated by the LMF. After the UE determines that the DL-PRS measurement results meet the metrics and ranges specified by the protocol, it considers the TRPs corresponding to these DL-PRS measurement results to be the desired TRP combination or TRP for the UE.

[0436] Optionally, the LMF can instruct the UE to send one or more of the above TRP-related information, that is, the UE sends the TRP-related information according to the instruction of the LMF;

[0437] For example: The LMF instructs the UE to send the number of TRP combinations corresponding to the AI model, the TRP combinations, the number of TRPs included in a TRP combination, the maximum number of TRPs included in a TRP combination, the minimum number of TRPs included in a TRP combination, the version of the TRP identifier, the preferred M "TRP combinations", the preferred N TPRs, the priority of each "TRP combination" within the preferred M "TRP combinations", the measurement results corresponding to the "TRP combination" or TRP, etc.

[0438] Optionally, after the UE completes the model inference of the AI model on the UE side, the UE can also send the M "TRP combinations" determined to be optimal, the N TRPs determined to be optimal, the TRP combinations used during model inference, and the TRP combinations desired by the UE / gNB in the TRP set configured by the LMF to the LMF.

[0439] Optionally, in addition to sending the above TRP-related information, the UE can also send other auxiliary information to the LMF, such as: the cell identifier where the UE is located, the sub area identifier, the direction of the UE relative to a reference point, the type or location of the reference point, etc.

[0440] Example 2: The first device is a gNB, and the AI model / function is deployed on the gNB side.

[0441] Step 21: The gNB determines the TRP-related information (i.e., the node-related information mentioned above), which is related to determining the input of the AI model / function.

[0442] Step 22: The gNB sends the TRP-related information to the LMF.

[0443] In this embodiment, the AI model is deployed on the gNB side. The input of the AI model can be the UL-SRS-pos channel-related information obtained from the UL-SRS-pos signals sent by the TRP measurement UEs. Such channel-related information includes, for example, CIR, PDP, DP, RSRP, etc. Among them, it is possible to obtain the UL-SRS-pos channel-related information corresponding to multiple TRPs from the UL-SRS-pos signals sent by multiple TRP measurement UEs, and based on this, determine the input of the AI model. The output of the AI model is a location-related intermediate quantity, which can be ToA, AoA, RSTD, RSRP, LOS / NLOS indication identifier, etc.

[0444] After deploying the AI model on the gNB side, the gNB may need to perform a model identification process. For example, the gNB sends the key information related to the AI model to the LMF, and the LMF can configure the appropriate TRP combination to measure the UL-SRS-pos sent by the UE based on this key information. For example, the gNB can send the TRP-related information to the LMF, and this information can be carried in the model metadata information of the model identification. Or, the gNB can send the TRP-related information during the function identification process of the AI model.

[0445] The TRP-related information includes: the number of TRP combinations, the TRP combinations, the number of TRPs included in one TRP combination, the maximum number of TRPs included in one TRP combination, the minimum number of TRPs included in one TRP combination, and the version of the TRP identifier.

[0446] If the gNB performs data collection for the AI model on the gNB side, then the gNB can carry the above TRP-related information in the data request information during data collection.

[0447] Optionally, the gNB can carry the following information in the data request information during the data collection process to the LMF:

[0448] (1) The M "TRP combinations" expected / preferred by the gNB, where M can be equal to 1;

[0449] When the gNB sends the M "TRP combinations", it may also send the following information:

[0450] The specific value of M;

[0451] For the priority corresponding to each "TRP combination", after receiving the M "TRP combinations" preferred by the gNB, the LMF can also know the priority / expectation of the gNB among the M "TRP combinations" through the priority corresponding to each "TRP combination".

[0452] In each "TRP combination", the measurement result of each TRP;

[0453] (2) The N TRPs that the gNB desires most / highly prefers;

[0454] In this embodiment, the values of M and N can be agreed upon by the protocol, or M and N are values configured by the network device (LMF). The gNB needs to receive the values of M and N configured by the LMF before sending the M "TRP combinations" or N TRPs.

[0455] In addition, the LMF can also send the metrics for screening the M "TRP combinations" or N TRPs to the gNB, such as RSRP, RSRQ, SINR, etc. In addition to sending the metrics for screening TRPs, the LMF can also send the conditions or thresholds that the metrics need to meet. For example, the LMF indicates that the RSRP needs to be greater than -20 dB. The above metrics can also be agreed upon by the protocol rather than indicated by the LMF.

[0456] Optionally, the LMF can also instruct the gNB to send one or more of the above TRP-related information, that is, the gNB sends the TRP-related information according to the instruction of the LMF:

[0457] For example, the LMF instructs the gNB to send the number of TRP combinations corresponding to the AI model, the corresponding TRP combinations, the number of TRPs included in a TRP combination, the maximum number of TRPs included in a TRP combination, the minimum number of TRPs included in a TRP combination, the version of the TRP identifier, the preferred M "TRP combinations", the preferred N TPRs, the priority of each "TRP combination" within the preferred M "TRP combinations", the measurement results corresponding to the "TRP combination" or TRP, etc.

[0458] After the gNB completes the model inference of the AI model on the gNB side, the gNB may also send the optimal M "TRP combinations" in the TRP set configured by the LMF, the optimal N TRPs, the TRP combinations used during model inference, and the TRP combinations desired by the gNB to the LMF.

[0459] Example 3: The first device is the LMF, and the AI model is deployed on the LMF side.

[0460] Step 31: The LMF determines the TRP-related information, which is related to determining the input of the AI model;

[0461] Step 32: The LMF sends TRP-related information to the UE / gNB.

[0462] In this embodiment, an AI model is deployed on the LMF side. The UE measures the DL-PRS sent by the TRP to obtain channel-related information and sends it to the LMF, and / or the TRP measures the UL-SRS-pos sent by the UE to obtain channel-related information and sends it to the LMF. The LMF determines the input of the AI model based on the received channel-related information, such as CIR, PDP, DP, RSRP, etc. Here, the channel-related information received by the LMF can be the DL-PRS / UL-SRS-pos channel-related information corresponding to multiple TRPs. The output of the AI model is the UE location.

[0463] After deploying the AI model on the LMF side, the LMF sends the key information related to the AI model to the UE / gNB. The input of the AI model is related to the DL-PRS / UL-SRS-pos channel-related information corresponding to multiple TRPs fed back by the UE / gNB. If the UE / gNB can learn the TRP-related information related to the AI model in advance, the UE / gNB can determine the channel-related information of an appropriate TRP combination for feedback when performing DL-PRS / UL-SRS-pos channel-related information feedback.

[0464] Optionally, the TRP-related information includes: the number of TRP combinations, the TRP combinations, the number of TRPs included in one TRP combination, the maximum number of TRPs included in one TRP combination, and the minimum number of TRPs included in one TRP combination.

[0465] If the LMF performs data collection for the AI model on the LMF side, the LMF can carry the above TRP-related information in the data request information during data collection, and the LMF sends the TRP-related information to the UE / gNB by carrying it in the data request information.

[0466] Optionally, the LMF carries at least one of the following information in the data request information during the data collection process to the UE / gNB:

[0467] (1) The M "TRP combinations" desired / preferred by the LMF, where M can be equal to 1; the UE / gNB can obtain the channel-related information of each TRP combination according to the received M "TRP combinations", and the UE / gNB only feeds back the channel-related information of the "TRP combinations" whose channel-related results meet the "requirements or conditions" to the LMF. Here, the "requirements or conditions" can be agreed upon by the protocol or indicated by the LMF. That is, the combination of TRPs corresponding to the channel-related information fed back by the UE / gNB needs to be one or more of the M "TRP combinations".

[0468] Among them, when the UE / gNB feeds back the channel-related information of the TRP combination, it can carry the measurement results of each TRP in each "TRP combination", such as RSRP.

[0469] (2) The N TRPs expected / preferred by the LMF.

[0470] (3) The number of TRPs corresponding to the channel-related information that the LMF expects the UE / gNB to feed back.

[0471] (4) The maximum number of TRPs corresponding to the channel-related information that the LMF expects the UE / gNB to feed back.

[0472] (5) The minimum number of TRPs corresponding to the channel-related information that the LMF expects the UE / gNB to feed back.

[0473] In addition, the LMF may also send the metrics for screening TRPs to the UE / gNB, such as RSRP, RSRQ, SINR, etc. In addition to sending the metrics for screening TRPs, the LMF can also send the conditions or thresholds that the metrics need to meet. The UE / gNB performs TRP combination or TRP screening according to the type of the specific screening metrics sent by the LMF, and feeds back the channel-related information of the "TRP combination" that meets the "conditions or thresholds" to the LMF. The above metrics can also be agreed upon by the protocol rather than indicated by the LMF.

[0474] Optionally, the UE / gNB can instruct the LMF to send one or more of the above TRP-related information related to the AI model on the LMF side. That is, the LMF sends the TRP-related information according to the instruction of the UE / gNB.

[0475] When the UE / gNB reports the channel-related information (such as CIR, RSTD) after measuring the TRP set configured by the LMF, it can also include: the ranking (RSRP ranking) of the top N TRPs in the TRP set or the RSRP corresponding to the top N TRPs in the TRP set to the LMF, which can be used as a reference when the LMF determines the input of the AI model.

[0476] In the above embodiments, the UE / gNB sends TRP-related information to the LMF, or the LMF sends TRP-related information to the UE / gNB, and the TRP-related information is related to the input for determining the AI model; the TRP-related information may include one or more of the following: the number of TRP combinations, the TRP combinations (at least one TRP included in one TRP combination), the number of TRPs included in one TRP combination, the maximum number of TRPs included in one TRP combination, the minimum number of TRPs included in one TRP combination, the TRP pattern sorting identifier; the desired / optimal M "TRP combinations" of the UE / gNB / LMF; the desired / optimal N TRPs of the UE / gNB / LMF, etc., so that the LMF can determine which nodes are to send the downlink reference signal based on the TRP-related information, or the terminal / gNB can determine which TRPs' reference signals to receive and determine which TRPs' measurement results to feedback to the LMF, thereby avoiding resource waste caused by sending or configuring redundant signals.

[0477] In an embodiment of the present application, the first device sends information about nodes related to the input of the positioning model and / or function to the second device, enabling the second device to perform positioning-related operations based on the node-related information and avoiding resource waste.

[0478] As Figure 3 shown, an embodiment of the present application further provides an information transmission method, applied to the second device, including:

[0479] Step 301, the second device receives the node-related information sent by the first device, where the node is a network node related to the input information of the model and / or function for positioning;

[0480] Step 302, perform positioning-related operations according to the node-related information;

[0481] Among them, the node-related information includes at least one of the following:

[0482] The quantity information of the nodes;

[0483] The identification information of the nodes;

[0484] The measurement result of the reference signal corresponding to the node;

[0485] The information of the nodes desired by the first device; the information of the nodes desired by the first device may be the desired node information determined by the first device based on historical experience, or the optimal node information determined by the first device according to the signal measurement result, or the node information corresponding to the data that the first device expects to collect during the data collection process.

[0486] In this embodiment, the first device may be a device on which a positioning model or function is deployed. In this case, the first device sends information about network nodes related to the input information of the positioning model and / or function to the second device, informing the second device of the nodes corresponding to the input information of its own model, so that the second device can perform positioning-related operations based on the node-related information. For example, configure the nodes for receiving and / or sending reference signals, thus avoiding resource waste caused by configuring redundant nodes; the second device can also determine which reporting quantities need to be reported to the first device according to the node-related information, thus avoiding resource waste caused by reporting redundant information.

[0487] The second device may also be a device on which a positioning model or function is deployed. In this case, the first device indicates information about network nodes related to the input information of the positioning model and / or function to the second device, so that the second device can determine the input information of the model and / or function according to the node-related information, avoiding resource waste caused by using the information of some unnecessary nodes.

[0488] Optionally, the positioning model may be an AI model and / or an ML model.

[0489] In the embodiment of the present application, the second device receives the node-related information sent by the first device related to the input of the positioning model and / or function, and performs positioning-related operations based on the node-related information, avoiding resource waste.

[0490] Optionally, the first device is a terminal or a base station, and the second device is an LMF;

[0491] Or,

[0492] The first device is an LMF, and the second device is a terminal or a base station.

[0493] In this embodiment, the positioning model and / or function may be deployed on the terminal side, or may be deployed on the base station side and / or the LMF side. Taking the first device as a terminal / gNB and the second device as an LMF as an example, assuming that the positioning model and / or function is deployed on the terminal / gNB side, the UE / gNB sends node-related information to the LMF, then the LMF can determine which nodes are used to send downlink reference signals and / or receive uplink reference signals based on the node-related information, thus avoiding resource waste caused by configuring redundant network nodes to send and / or receive signals.

[0494] Taking the example where the first device is the LMF and the second device is the UE / gNB, assuming that the LMF deploys the model and / or function for positioning, and the LMF sends node-related information to the UE / gNB, the UE can determine which network nodes to receive the reference signals from, or the gNB can determine which network nodes to receive the reference signals sent by the UE, so as to report the measurement channel-related information corresponding to the corresponding nodes to the LMF, avoiding unnecessary signal measurements and information reporting.

[0495] Taking the example where the first device is the LMF and the second device is the UE / gNB, assuming that the UE / gNB deploys the model and / or function for positioning, the LMF can indicate the node-related information of a model and / or function to the UE / gNB, enabling the UE / gNB to determine the input of the model and / or function based on the node-related information, avoiding resource waste caused by using unnecessary information.

[0496] Optionally, the node is a transmission and reception point (TRP). That is, the second device receives the TRP-related information sent by the first device. The TRP-related information can be the related information of multiple TRPs, and the TRP-related information is related to the input of the model and / or function for positioning.

[0497] Optionally, the quantity information of the nodes includes at least one of the following:

[0498] The quantity of node combinations;

[0499] The quantity of nodes included in each node combination;

[0500] The maximum quantity of nodes included in each node combination;

[0501] The minimum quantity of nodes included in each node combination.

[0502] Optionally, the identification information of the nodes includes at least one of the following:

[0503] The identification of each node;

[0504] The identifications of the nodes included in each node combination;

[0505] The identification of each node combination;

[0506] The sorting mode corresponding to the identification of the nodes, where the nodes can be sorted or numbered in different modes, and in different modes, the identification corresponding to the same node may be different.

[0507] Optionally, the information of the nodes expected by the first device includes at least one of the following:

[0508] The node combinations expected by the first device;

[0509] The number of node combinations expected by the first device;

[0510] The maximum number of node combinations expected by the first device;

[0511] The minimum number of node combinations expected by the first device;

[0512] The priority of the node combinations expected by the first device;

[0513] The nodes expected by the first device;

[0514] The number of nodes expected by the first device;

[0515] The maximum number of nodes expected by the first device;

[0516] The minimum number of nodes expected by the first device;

[0517] The priority of the nodes expected by the first device;

[0518] The number of nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0519] The maximum number of nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0520] The minimum number of nodes corresponding to the reporting quantity that the first device expects the second device to send.

[0521] Optionally, the measurement result includes:

[0522] The measurement result obtained by the first device measuring the DL-PRS sent by the node;

[0523] And / or,

[0524] The measurement result obtained by the node measuring the UL-SRS sent by the terminal.

[0525] In this embodiment, the first device may send the measurement results corresponding to one or more nodes or node combinations to the second device. For example, the measurement result is the RSRP obtained by the UE measuring the DL-PRS sent by the TRP, or the measurement result is the RSRP obtained by the TRP measuring the UL-SRS-pos sent by the UE.

[0526] As an optional embodiment, the performing positioning-related operations according to the node-related information includes at least one of the following:

[0527] (1) Determining the node that sends the reference signal according to the node-related information;

[0528] For example, a positioning model is deployed on the first device side. The first device sends information related to the TRP corresponding to the input information of the positioning model to the second device. The second device can determine the TRP for sending the downlink reference signal based on the information related to the TRP, thereby avoiding waste of radio interface resources caused by redundant TRPs sending signals.

[0529] (2) Determine the node for receiving the reference signal according to the node-related information;

[0530] For example, a positioning model is deployed on the first device side. The first device sends information related to the TRP corresponding to the input information of the positioning model to the second device. The second device can determine the TRP for receiving the uplink reference signal based on the information related to the TRP, thereby avoiding waste of radio interface resources caused by configuring redundant TRPs for signal reception.

[0531] (3) Determine the reporting quantity to be sent to the first device according to the node-related information;

[0532] For example, a positioning model is deployed on the first device side. The first device sends information related to the TRP corresponding to the input information of the positioning model to the second device. The second device can determine which reporting quantities need to be reported to the first device for determining the model input based on the information related to the TRP, avoiding waste of resources caused by sending unnecessary reporting quantities.

[0533] (4) Determine the input information of the model and / or function for positioning according to the node-related information.

[0534] For example, a positioning model is deployed on the first device side. The first device sends information related to the TRP corresponding to the input information of the positioning model to the second device. The second device can determine which reporting quantities need to be reported to the first device for model input based on the information related to the TRP, avoiding waste of resources caused by unnecessary reporting quantities.

[0535] As an optional embodiment, the performing positioning-related operations according to the node-related information includes at least one of the following:

[0536] (1) When the first device is a terminal and the second device is an LMF, the LMF determines the node for sending the DL-PRS according to the node-related information;

[0537] For example, the node is a TRP. The UE sends TRP-related information to the LMF. The LMF determines which TRPs will send the DL-PRS to the UE based on the TRP-related information. The UE can determine the input of the positioning model and / or function based on the channel-related information obtained by measuring the DL-PRS.

[0538] (2) When the first device is a base station and the second device is an LMF, the LMF determines the node for receiving UL-SRS according to the node-related information;

[0539] For example: the node is a TRP, the gNB sends TRP-related information to the LMF, and the LMF determines which TRPs will receive the UL-SRS sent by the UE based on the TRP-related information; the gNB can determine the input of the positioning model and / or function based on the channel-related information obtained by measuring the UL-SRS-pos of the TRP.

[0540] (3) When the first device is an LMF and the second device is a terminal or a base station, the terminal or the base station determines the reporting amount to be sent to the LMF according to the node-related information, and the reporting amount is used to determine the input information of the model or function for positioning;

[0541] For example: the node is a TRP, the LMF sends TRP-related information to the UE / gNB, and the UE / gNB determines which TRP-related reporting amounts need to be reported to the LMF based on the TRP-related information; the LMF can determine the input of the positioning model and / or function based on the reporting amount of the UE / gNB.

[0542] (4) When the first device is an LMF and the second device is a terminal or a base station, the terminal or the base station determines the input information of the model and / or function for positioning according to the node-related information.

[0543] For example: the node is a TRP, the LMF sends TRP-related information to the UE / gNB, and the UE / gNB determines the input of the positioning model and / or function based on the TRP-related information.

[0544] In this embodiment, for the UE-side model or the gNB-side model, the input of the model may be determined based on the dynamic TRP mode. The LMF can determine which TRPs in which TRP patterns are more suitable for sending DL-PRS based on the TRP-related information sent by the UE / gNB, thereby avoiding waste of radio resource overhead caused by unnecessary DL-PRS sent by the TRP.

[0545] For the above LMF-side model, the UE / gNB can determine the DL-PRS / UL-SRS-pos channel-related information corresponding to the TRP that should send or receive the reference signal based on the TRP-related information sent by the LMF, thereby avoiding the UE / gNB from feeding back incorrect or unnecessary channel-related information to the LMF.

[0546] As an optional embodiment, the receiving the node-related information sent by the first device includes at least one of the following:

[0547] Receive the node-related information sent by the first device during the model recognition process;

[0548] Receive the node-related information sent by the first device during the function recognition process;

[0549] Receive the node-related information sent by the first device during the data collection process.

[0550] In this embodiment, when a model for positioning is deployed on the first device side, the first device may send the node-related information to the second device during the model recognition process. For example, the node-related information may be carried in the metadata information of the model recognition. When a function for positioning is deployed on the first device side, the first device may send the node-related information to the second device during the function recognition process. If the first device deploys a model for positioning and / or a function for positioning, the first device may send the node-related information to the second device during the data collection process. For example, the first device sends a data request message to the second device, and the node-related information is carried in the data request message.

[0551] Optionally, the node-related information is carried by the metadata of the model recognition, and / or the node-related information is carried by the capability information of the first device, and / or the node-related information is carried by the configuration information of the first device.

[0552] In this embodiment, the first device may send metadata to the second device during the model recognition process, and carry the node-related information in the metadata; the first device may also send its own capability information to the second device, and carry the node-related information in the capability information; the first device may also send configuration information to the second device, and the configuration corresponding to the configuration information is the configuration supported by the first device, and carry the node-related information in the configuration information.

[0553] As an alternative embodiment, the method further includes:

[0554] Determine a node screening criterion for determining the node corresponding to the node-related information;

[0555] Wherein, the node screening criterion includes at least one of the following:

[0556] Parameters for screening nodes; for example: RSRP, RSRQ, SINR, etc.

[0557] Thresholds for the parameters for screening nodes; for example: the maximum (minimum) threshold value corresponding to RSRP, the maximum (minimum) threshold value corresponding to RSRQ, the maximum (minimum) threshold value corresponding to SINR, etc.;

[0558] Conditions for screening nodes. For example: RSRP needs to satisfy being greater than a first value; RSRQ needs to satisfy being greater than a second value; SINR needs to satisfy being greater than a third value.

[0559] Optionally, the method further includes: sending the node screening criteria to the first device.

[0560] In this embodiment, the node screening criteria may be determined by the first device, or may be determined by a second device and sent to the first device. The node screening criteria can be used by the first device to determine the nodes involved in the node-related information. For example: The first device determines the information of the desired nodes according to the node screening criteria.

[0561] As an optional embodiment, before receiving the node-related information sent by the first device, the method further includes:

[0562] Sending indication information to the first device, where the indication information is used to instruct the first device to report the node-related information; and / or, the indication information is used to indicate the information content of the node-related information.

[0563] For example: The second device may send indication information to the first device, instructing the first device to report TRP-related information and / or specific content in the TRP-related information. The first device sends the TRP-related information to the second device based on this indication information.

[0564] Optionally, the second device may further receive other information sent by the first device, such as: cell identifier, sub-cell identifier, sub-area identifier, etc.

[0565] In an embodiment of the present application, the second device receives node-related information sent by the first device related to the input of a positioning model and / or function, and performs positioning-related operations based on this node-related information, avoiding resource waste.

[0566] The above embodiments introduce the method for information transmission of the present application. Next, this embodiment will further describe the corresponding device with reference to the accompanying drawings.

[0567] Specifically, as Figure 4 shown, an embodiment of the present application provides an information transmission device 400, which is applied to a first device and includes:

[0568] A first sending unit 410, configured to send node-related information to a second device, where the node is a network node related to the input information of a model and / or function for positioning;

[0569] Among them, the node-related information includes at least one of the following:

[0570] The quantity information of the nodes;

[0571] The identification information of the nodes;

[0572] The measurement results of the reference signals corresponding to the nodes;

[0573] The information of the nodes expected by the first device.

[0574] Optionally, the first device is a terminal or a base station, and the second device is an LMF;

[0575] Or,

[0576] The first device is an LMF, and the second device is a terminal or a base station.

[0577] Optionally, the quantity information of the nodes includes at least one of the following:

[0578] The quantity of node combinations;

[0579] The quantity of nodes included in each node combination;

[0580] The maximum quantity of nodes included in each node combination;

[0581] The minimum quantity of nodes included in each node combination.

[0582] Optionally, the identification information of the nodes includes at least one of the following:

[0583] The identification of each node;

[0584] The identifications of the nodes included in each node combination;

[0585] The identification of each node combination;

[0586] The sorting mode corresponding to the identification of the nodes.

[0587] Optionally, the information of the nodes expected by the first device includes at least one of the following:

[0588] The node combinations expected by the first device;

[0589] The quantity of the node combinations expected by the first device;

[0590] The maximum quantity of the node combinations expected by the first device;

[0591] The minimum quantity of the node combinations expected by the first device;

[0592] The priority of the node combinations expected by the first device;

[0593] Nodes expected by the first device;

[0594] The number of nodes expected by the first device;

[0595] The maximum number of nodes expected by the first device;

[0596] The minimum number of nodes expected by the first device;

[0597] The priority of the nodes expected by the first device;

[0598] The number of nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0599] The maximum number of nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0600] The minimum number of nodes corresponding to the reporting quantity that the first device expects the second device to send.

[0601] Optionally, the measurement result includes:

[0602] The measurement result obtained by the first device measuring the downlink DL positioning reference signal PRS sent by the node;

[0603] And / or,

[0604] The measurement result obtained by the node measuring the uplink UL sounding reference signal SRS sent by the terminal.

[0605] Optionally, the node-related information includes at least one of the following functions:

[0606] For the second device to determine the node that sends the reference signal;

[0607] For the second device to determine the node that receives the reference signal;

[0608] For the second device to determine the reporting quantity to be sent to the first device;

[0609] For the second device to determine the input information for the model and / or function used for positioning.

[0610] Optionally, the node-related information includes at least one of the following functions:

[0611] When the first device is a terminal and the second device is an LMF, the node-related information is used by the LMF to determine the node that sends the DL-PRS;

[0612] When the first device is a base station and the second device is an LMF, the node-related information is used by the LMF to determine the node that receives the UL-SRS;

[0613] When the first device is an LMF and the second device is a terminal or a base station, the node-related information is used by the terminal or the base station to determine the reporting amount to be sent to the LMF, and the reporting amount is used to determine the input information for the positioning model and / or function;

[0614] When the first device is an LMF and the second device is a terminal or a base station, the node-related information is used by the terminal or the base station to determine the input information for the positioning model and / or function.

[0615] Optionally, the first sending unit is specifically configured to perform at least one of the following:

[0616] During the model recognition process, send the node-related information to the second device;

[0617] During the function recognition process, send the node-related information to the second device;

[0618] During the data collection process, send the node-related information to the second device.

[0619] Optionally, the node-related information is carried by the metadata of the model recognition, and / or the node-related information is carried by the capability information of the first device, and / or the node-related information is carried by the configuration information of the first device.

[0620] Optionally, the device further includes:

[0621] The first determination unit is configured to determine a node screening criterion, and the node screening criterion is used to determine the node corresponding to the node-related information;

[0622] Wherein, the node screening criterion includes at least one of the following:

[0623] Parameters for screening nodes;

[0624] Thresholds for the parameters for screening nodes;

[0625] Conditions for screening nodes.

[0626] Optionally, the first determination unit is specifically configured to:

[0627] Receive the node screening criterion sent by the second device.

[0628] Optionally, the device further includes:

[0629] The second receiving unit is configured to receive the indication information sent by the second device, where the indication information is used to instruct the first device to report the node-related information; and / or the indication information is used to indicate the information content of the node-related information.

[0630] Optionally, the node is a transmission and reception point (TRP).

[0631] It should be noted here that the above-mentioned device provided in the embodiments of the present application can implement all the method steps implemented by the method embodiments applied to the first device, and can achieve the same technical effects. Therefore, the same parts and beneficial effects as those in the method embodiments will not be specifically described herein again.

[0632] Specifically, as Figure 5 shown, the embodiments of the present application provide an information transmission device 500, which is applied to a second device and includes:

[0633] A first receiving unit 510, configured to receive node-related information sent by a first device, where the node is a network node related to input information of a positioning model and / or function;

[0634] A processing unit 520, configured to perform positioning-related operations according to the node-related information;

[0635] Wherein, the node-related information includes at least one of the following:

[0636] The quantity information of the nodes;

[0637] The identification information of the nodes;

[0638] The measurement result of the reference signal corresponding to the node;

[0639] The information of the nodes expected by the first device.

[0640] Optionally, the first device is a terminal or a base station, and the second device is an LMF;

[0641] Or,

[0642] The first device is an LMF, and the second device is a terminal or a base station.

[0643] Optionally, the quantity information of the nodes includes at least one of the following:

[0644] The quantity of node combinations;

[0645] The quantity of nodes included in each node combination;

[0646] The maximum quantity of nodes included in each node combination;

[0647] The minimum quantity of nodes included in each node combination.

[0648] Optionally, the identification information of the nodes includes at least one of the following:

[0649] The identifier of each node;

[0650] The identifiers of the nodes included in each node combination;

[0651] The identifier of each node combination;

[0652] The sorting pattern corresponding to the identifier of the node.

[0653] Optionally, the information of the nodes expected by the first device includes at least one of the following:

[0654] The node combinations expected by the first device;

[0655] The number of node combinations expected by the first device;

[0656] The maximum number of node combinations expected by the first device;

[0657] The minimum number of node combinations expected by the first device;

[0658] The priority of the node combinations expected by the first device;

[0659] The nodes expected by the first device;

[0660] The number of nodes expected by the first device;

[0661] The maximum number of nodes expected by the first device;

[0662] The minimum number of nodes expected by the first device;

[0663] The priority of the nodes expected by the first device;

[0664] The number of nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0665] The maximum number of nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0666] The minimum number of nodes corresponding to the reporting quantity that the first device expects the second device to send.

[0667] Optionally, the measurement result includes:

[0668] The measurement result obtained by the first device measuring the DL-PRS sent by the node;

[0669] And / or,

[0670] The measurement result obtained by the node measuring the UL-SRS sent by the terminal.

[0671] Optionally, the processing unit is specifically configured to perform at least one of the following:

[0672] Determine the node that sends the reference signal according to the node-related information;

[0673] Determine the node that receives the reference signal according to the node-related information;

[0674] Determine the reporting quantity sent to the first device according to the node-related information;

[0675] Determine the input information of the model and / or function for positioning according to the node-related information.

[0676] Optionally, the processing unit is specifically configured to perform at least one of the following:

[0677] When the first device is a terminal and the second device is an LMF, the LMF determines the node that sends the DL-PRS according to the node-related information;

[0678] When the first device is a base station and the second device is an LMF, the LMF determines the node that receives the UL-SRS according to the node-related information;

[0679] When the first device is an LMF and the second device is a terminal or a base station, the terminal or the base station determines the reporting quantity that needs to be sent to the LMF according to the node-related information, and the reporting quantity is used to determine the input information of the model or function for positioning;

[0680] When the first device is an LMF and the second device is a terminal or a base station, the terminal or the base station determines the input information of the model and / or function for positioning according to the node-related information.

[0681] Optionally, the first receiving unit is specifically configured to perform at least one of the following:

[0682] Receive the node-related information sent by the first device during the model recognition process;

[0683] Receive the node-related information sent by the first device during the function recognition process;

[0684] Receive the node-related information sent by the first device during the data collection process.

[0685] Optionally, the node-related information is carried by the metadata of the model recognition, and / or the node-related information is carried by the capability information of the first device, and / or the node-related information is carried by the configuration information of the first device.

[0686] Optionally, the device further includes:

[0687] A second determination unit, configured to determine a node screening criterion, where the node screening criterion is used to determine a node corresponding to the node-related information;

[0688] Wherein, the node screening criterion includes at least one of the following:

[0689] A parameter for screening nodes;

[0690] A threshold for a parameter for screening nodes;

[0691] A condition for screening nodes.

[0692] Optionally, the apparatus further includes:

[0693] A second sending unit, configured to send the node screening criterion to the first device.

[0694] Optionally, the apparatus further includes:

[0695] Sending indication information to the first device, where the indication information is used to instruct the first device to report the node-related information; and / or, the indication information is used to indicate the information content of the node-related information.

[0696] Optionally, the node is a TRP.

[0697] It should be noted here that the above apparatus provided in the embodiments of the present application can implement all the method steps implemented by the method embodiments applied to the second device, and can achieve the same technical effects. The same parts and beneficial effects as those in the method embodiments will not be specifically described in this embodiment.

[0698] It should be noted that the division of units in the embodiments of the present application is illustrative, and is only a logical function division. In actual implementation, there may be other division methods. In addition, in each embodiment of the present application, the functional units can be integrated in one processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0699] When the integrated unit is implemented 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 solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable 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 various embodiments of this application. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0700] As Figure 6 shown, an embodiment of this application also provides a communication device. The communication device is a first device and includes: a memory 620, a transceiver 600, and a processor 610; wherein, the memory 620 is used to store computer programs; the transceiver 600 is used to receive and send data under the control of the processor 610; the processor 610 is used to read the computer programs in the memory and perform the following operations:

[0701] Send node-related information to a second device, where the node is a network node related to input information for a positioning model and / or function;

[0702] Among them, the node-related information includes at least one of the following:

[0703] The quantity information of the nodes;

[0704] The identification information of the nodes;

[0705] The measurement result of the reference signal corresponding to the nodes;

[0706] The information of the nodes expected by the first device.

[0707] Optionally, the first device is a terminal or a base station, and the second device is an LMF;

[0708] Or,

[0709] The first device is an LMF, and the second device is a terminal or a base station.

[0710] Optionally, the quantity information of the nodes includes at least one of the following:

[0711] The quantity of node combinations;

[0712] The number of nodes included in each node combination;

[0713] The maximum number of nodes included in each node combination;

[0714] The minimum number of nodes included in each node combination.

[0715] Optionally, the identification information of the nodes includes at least one of the following:

[0716] The identification of each node;

[0717] The identifications of the nodes included in each node combination;

[0718] The identification of each node combination;

[0719] The sorting mode corresponding to the identification of the nodes.

[0720] Optionally, the information of the nodes expected by the first device includes at least one of the following:

[0721] The node combinations expected by the first device;

[0722] The number of node combinations expected by the first device;

[0723] The maximum number of node combinations expected by the first device;

[0724] The minimum number of node combinations expected by the first device;

[0725] The priority of the node combinations expected by the first device;

[0726] The nodes expected by the first device;

[0727] The number of nodes expected by the first device;

[0728] The maximum number of nodes expected by the first device;

[0729] The minimum number of nodes expected by the first device;

[0730] The priority of the nodes expected by the first device;

[0731] The number of nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0732] The maximum number of nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0733] The minimum number of nodes corresponding to the reporting quantity that the first device expects the second device to send.

[0734] Optionally, the measurement result includes:

[0735] Measurement results obtained from the downlink DL positioning reference signal PRS sent by the first device measurement node;

[0736] And / or,

[0737] Measurement results obtained from the uplink UL sounding reference signal SRS sent by the node measurement terminal.

[0738] Optionally, the node-related information includes at least one of the following functions:

[0739] For the second device to determine the node that sends the reference signal;

[0740] For the second device to determine the node that receives the reference signal;

[0741] For the second device to determine the reporting amount sent to the first device;

[0742] For the second device to determine the input information for the model and / or function used for positioning.

[0743] Optionally, the node-related information includes at least one of the following functions:

[0744] When the first device is a terminal and the second device is an LMF, the node-related information is used by the LMF to determine the node that sends the DL-PRS;

[0745] When the first device is a base station and the second device is an LMF, the node-related information is used by the LMF to determine the node that receives the UL-SRS;

[0746] When the first device is an LMF and the second device is a terminal or a base station, the node-related information is used by the terminal or the base station to determine the reporting amount that needs to be sent to the LMF, and the reporting amount is used to determine the input information for the model and / or function used for positioning;

[0747] When the first device is an LMF and the second device is a terminal or a base station, the node-related information is used by the terminal or the base station to determine the input information for the model and / or function used for positioning.

[0748] Optionally, the processor is used to read the computer program in the memory and perform at least one of the following operations:

[0749] During the model recognition process, send the node-related information to the second device;

[0750] During the function recognition process, send the node-related information to the second device;

[0751] During the data collection process, the node-related information is sent to the second device.

[0752] Optionally, the node-related information is carried by metadata recognized by the model, and / or the node-related information is carried by the capability information of the first device, and / or the node-related information is carried by the configuration information of the first device.

[0753] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0754] Determine a node screening criterion for determining the node corresponding to the node-related information;

[0755] Wherein, the node screening criterion includes at least one of the following:

[0756] Parameters for screening nodes;

[0757] Thresholds for the parameters for screening nodes;

[0758] Conditions for screening nodes.

[0759] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0760] Receive the node screening criterion sent by the second device.

[0761] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0762] Receive the indication information sent by the second device, where the indication information is used to instruct the first device to report the node-related information; and / or the indication information is used to indicate the information content of the node-related information.

[0763] Optionally, the node is a transmission and reception point (TRP).

[0764] Wherein, in Figure 6Among them, the bus architecture may include any number of interconnected buses and bridges, specifically various circuits of one or more processors represented by the processor 610 and the memory represented by the memory 620 are linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, and power management circuits, etc., which are well known in the art, so they will not be further described herein. The bus interface provides an interface. The transceiver 600 may be multiple components, that is, including a transmitter and a transceiver, and provides a unit for communicating with various other devices on the transmission medium. For different user devices, the user interface 630 may also be an interface capable of externally connecting and internally connecting required devices, and the connected devices include but are not limited to a keypad, a display, a speaker, a microphone, a joystick, etc.

[0765] The processor 610 is responsible for managing the bus architecture and general processing, and the memory 620 may store data used by the processor 610 when executing operations.

[0766] Optionally, the processor 610 may 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 may also adopt a multi-core architecture.

[0767] The processor is used to execute any of the methods provided in the embodiments of the present application according to the obtained executable instructions by calling the computer program stored in the memory. The processor and the memory may also be physically separated.

[0768] It should be noted here that the above device provided in the embodiments of the present application can implement all the method steps implemented by the method embodiments applied to the first device, and can achieve the same technical effects. The same parts and beneficial effects as those in the method embodiments will not be specifically described in this embodiment.

[0769] As Figure 7 shown, the embodiments of the present application also provide a communication device, and the communication device is a second device, including: a memory 720, a transceiver 700, and a processor 710; wherein, the memory 720 is used to store a computer program; the transceiver 700 is used to receive and send data under the control of the processor 710; the processor 710 is used to read the computer program in the memory and perform the following operations:

[0770] Receive node-related information sent by a first device, where the node is a network node related to input information of a positioning model and / or function;

[0771] Perform positioning-related operations according to the node-related information;

[0772] Among them, the node-related information includes at least one of the following:

[0773] The quantity information of the nodes;

[0774] The identification information of the nodes;

[0775] The measurement result of the reference signal corresponding to the nodes;

[0776] The information of the nodes expected by the first device.

[0777] Optionally, the first device is a terminal or a base station, and the second device is an LMF; or,

[0778] The first device is an LMF, and the second device is a terminal or a base station.

[0779] Optionally, the quantity information of the nodes includes at least one of the following:

[0780] The quantity of node combinations;

[0781] The quantity of nodes included in each node combination;

[0782] The maximum quantity of nodes included in each node combination;

[0783] The minimum quantity of nodes included in each node combination.

[0784] Optionally, the identification information of the nodes includes at least one of the following:

[0785] The identification of each node;

[0786] The identification of the nodes included in each node combination;

[0787] The identification of each node combination;

[0788] The sorting mode corresponding to the identification of the nodes.

[0789] Optionally, the information of the nodes expected by the first device includes at least one of the following:

[0790] The node combination expected by the first device;

[0791] The quantity of the node combination expected by the first device;

[0792] The maximum quantity of the node combination expected by the first device;

[0793] The minimum number of node combinations expected by the first device;

[0794] The priority of the node combinations expected by the first device;

[0795] The nodes expected by the first device;

[0796] The number of nodes expected by the first device;

[0797] The maximum number of nodes expected by the first device;

[0798] The minimum number of nodes expected by the first device;

[0799] The priority of the nodes expected by the first device;

[0800] The number of nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0801] The maximum number of nodes corresponding to the reporting quantity that the first device expects the second device to send;

[0802] The minimum number of nodes corresponding to the reporting quantity that the first device expects the second device to send. Optionally, the measurement result includes:

[0803] The measurement result obtained by the first device by measuring the DL-PRS sent by the node;

[0804] And / or,

[0805] The measurement result obtained by the node by measuring the UL-SRS sent by the terminal.

[0806] Optionally, the processor is configured to read the computer program in the memory and perform at least one of the following operations:

[0807] Determine the node that sends the reference signal according to the node-related information;

[0808] Determine the node that receives the reference signal according to the node-related information;

[0809] Determine the reporting quantity sent to the first device according to the node-related information;

[0810] Determine the input information of the model and / or function for positioning according to the node-related information.

[0811] Optionally, the processor is configured to read the computer program in the memory and perform at least one of the following operations:

[0812] When the first device is a terminal and the second device is an LMF, the LMF determines the node that sends the DL-PRS according to the node-related information;

[0813] When the first device is a base station and the second device is an LMF, the LMF determines the node for receiving UL-SRS according to the node-related information;

[0814] When the first device is an LMF and the second device is a terminal or a base station, the terminal or the base station determines the reporting amount to be sent to the LMF according to the node-related information, and the reporting amount is used to determine the input information of the model or function for positioning;

[0815] When the first device is an LMF and the second device is a terminal or a base station, the terminal or the base station determines the input information of the model and / or function for positioning according to the node-related information.

[0816] Optionally, the processor is configured to read the computer program in the memory and perform at least one of the following operations:

[0817] Receive the node-related information sent by the first device during the model recognition process;

[0818] Receive the node-related information sent by the first device during the function recognition process;

[0819] Receive the node-related information sent by the first device during the data collection process.

[0820] Optionally, the node-related information is carried by the metadata of the model recognition, and / or the node-related information is carried by the capability information of the first device, and / or the node-related information is carried by the configuration information of the first device.

[0821] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0822] Determine a node screening criterion, where the node screening criterion is used to determine the node corresponding to the node-related information;

[0823] Wherein, the node screening criterion includes at least one of the following:

[0824] Parameters for screening nodes;

[0825] Thresholds for parameters for screening nodes;

[0826] Conditions for screening nodes.

[0827] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0828] Send the node screening criterion to the first device.

[0829] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0830] Send indication information to the first device, where the indication information is used to instruct the first device to report the node-related information; and / or, the indication information is used to indicate the information content of the node-related information.

[0831] Optionally, the node is a TRP.

[0832] Among them, in Figure 7 The bus architecture may include any number of interconnected buses and bridges, specifically, various circuits represented by one or more processors represented by the processor 710 and the memory represented by the memory 720 are linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art, and thus will not be further described herein. The bus interface provides an interface. The transceiver 700 may be multiple components, that is, including a transmitter and a transceiver, and provides a unit for communicating with various other devices on the transmission medium. The processor 710 is responsible for managing the bus architecture and general processing, and the memory 720 may store data used by the processor 710 when performing operations.

[0833] The processor 710 may 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 may also adopt a multi-core architecture.

[0834] It should be noted here that the above device provided by the embodiments of the present application can implement all the method steps implemented by the method embodiments applied to the second device, and can achieve the same technical effects. The same parts and beneficial effects as those in the method embodiments will not be specifically described in this embodiment.

[0835] In addition, a processor-readable storage medium is provided in a specific embodiment of the present application, on which a computer program is stored. When the program is executed by a processor, it implements the steps of the information transmission method as described above and can achieve the same technical effects. To avoid repetition, it will not be elaborated here. The readable storage medium may be any available medium or data storage device accessible by the processor, including but not limited to magnetic memories (such as floppy disks, hard disks, magnetic tapes, magneto-optical discs (MO), etc.), optical memories (such as CDs, DVDs, BDs, HVDs, etc.), and semiconductor memories (such as ROMs, EPROMs, EEPROMs, non-volatile memories (NAND FLASH), solid state drives (SSD)).

[0836] An embodiment of the present application provides a computer program product, including computer instructions, which implement the steps of the above-mentioned information transmission method when executed by a processor.

[0837] It should be noted that the technical solution provided in the embodiment of the present application can be applied to multiple systems, especially 5G systems. For example, the applicable systems may 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 telecommunication system (UMTS), worldwide interoperability for microwave access (WiMAX) systems, 5G New Radio (NR) systems, etc. Both terminal devices and network devices are included in these multiple systems. The core network part may also be included in the system, such as Evolved Packet System (EPS), 5G System (5GS), etc.

[0838] The terminal device involved in the embodiments of the present application can be a device that provides voice and / or data connectivity to users, such as a handheld device with wireless connection capabilities, or other processing devices connected to a wireless modem, etc. In different systems, the name of the terminal device may also be different. For example, in a 5G system, the terminal device can be called a User Equipment (UE). The wireless terminal device can communicate with one or more core networks (CN) via a Radio Access Network (RAN). The wireless terminal device can be a mobile terminal device, such as a mobile phone (or a "cellular" phone) and a computer with a mobile terminal device. For example, it can be a portable, pocket-sized, handheld, computer-integrated, or vehicle-mounted mobile device, which exchanges language and / or data with the wireless access network. For example, devices such as Personal Communication Service (PCS) phones, cordless phones, Session Initiated Protocol (SIP) phones, Wireless Local Loop (WLL) stations, Personal Digital Assistant (PDA), etc. The wireless terminal device can also be called a system, subscriber unit, subscriber station, mobile station, mobile, remote station, access point, remote terminal, access terminal, user terminal, user agent, user device, which is not limited in the embodiments of the present application.

[0839] The network device involved in the embodiments of the present application may be a base station, which may include multiple cells that provide services to terminals. Depending on specific application scenarios, the base station may also be referred to as an access point, or may be a device in the access network that communicates with wireless terminal devices through one or more sectors on the air interface, or have other names. The network device can be used to mutually replace the received air frames and Internet Protocol (IP) packets, and act as a router between the wireless terminal device and the rest of the access network, where the rest of the access network may include an Internet Protocol (IP) communication network. The network device can also coordinate the attribute management of the air interface. For example, the network device involved in the embodiments of the present application may be a network device (Base Transceiver Station, BTS) in a Global System for Mobile communications (GSM) or Code Division Multiple Access (CDMA), may also be a network device (NodeB) in a Wide-band Code Division Multiple Access (WCDMA), may also be an evolved network device (evolutional Node B, eNB or e-NodeB) in a Long Term Evolution (LTE) system, a 5G base station (gNB) in a 5G network architecture (next generation system), may also be a Home evolved Node B (HeNB), a relay node, a femto, a pico, etc. The embodiments of the present application do not limit this. In some network architectures, the network device may include a centralized unit (centralized unit, CU) node and a distributed unit (distributed unit, DU) node, and the centralized unit and the distributed unit may also be arranged separately geographically.

[0840] A network device and a terminal device can each use one or more antennas for Multi-Input Multi-Output (MIMO) transmission. The MIMO transmission can be Single User MIMO (SU-MIMO) or Multiple User MIMO (MU-MIMO). According to the form and number of root antenna combinations, the MIMO transmission can be 2D-MIMO, 3D-MIMO, FD-MIMO, or massive-MIMO, or it can be diversity transmission, precoding transmission, beamforming transmission, etc.

[0841] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0842] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, and the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer-executable instructions. These computer-executable instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in one or more processes in the flowchart and / or one or more blocks in the block diagram.

[0843] These processor-executable instructions can also be stored in a processor-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the processor-readable memory generate a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and / or one or more blocks in the block diagram.

[0844] These processor-executable instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and / or one or more blocks in the block diagram.

[0845] Obviously, those skilled in the art can make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalent technologies, this application is also intended to include these modifications and variations.

Claims

1. An information transmission method, characterized in that, Including: A first device sends node-related information to a second device, where the node is a network node related to input information of a positioning model and / or function; Wherein, the node-related information includes at least one of the following: Quantity information of nodes; Identification information of nodes; Measurement results of reference signals corresponding to nodes; Information of nodes expected by the first device.

2. The method according to claim 1, wherein The first device is a terminal or a base station, and the second device is a Location Management Function (LMF); Or, The first device is an LMF, and the second device is a terminal or a base station.

3. The method according to claim 1, characterized in that The quantity information of the nodes includes at least one of the following: Quantity of node combinations; Quantity of nodes included in each node combination; Maximum quantity of nodes included in each node combination; Minimum quantity of nodes included in each node combination.

4. The method according to claim 1, wherein The identification information of the nodes includes at least one of the following: Identification of each node; Identifications of nodes included in each node combination; Identification of each node combination; Sorting pattern corresponding to the identification of the node.

5. The method according to claim 1, characterized in that The information of the nodes expected by the first device includes at least one of the following: Node combinations expected by the first device; Quantity of node combinations expected by the first device; Maximum quantity of node combinations expected by the first device; Minimum quantity of node combinations expected by the first device; Priority of node combinations expected by the first device; Nodes expected by the first device; Quantity of nodes expected by the first device; Maximum quantity of nodes expected by the first device; Minimum quantity of nodes expected by the first device; Priority of nodes expected by the first device; Quantity of nodes corresponding to the reporting quantity that the first device expects the second device to send; Maximum quantity of nodes corresponding to the reporting quantity that the first device expects the second device to send; Minimum quantity of nodes corresponding to the reporting quantity that the first device expects the second device to send.

6. The method according to claim 1, wherein The measurement results include: Measurement results obtained by the first device measuring the downlink (DL) positioning reference signal (PRS) sent by the node; And / or, Measurement results obtained by the node measuring the uplink (UL) sounding reference signal (SRS) sent by the terminal.

7. The method according to claim 1, wherein The node-related information includes at least one of the following functions: For the second device to determine the node that sends the reference signal; For the second device to determine the node that receives the reference signal; For the second device to determine the reporting quantity sent to the first device; For the second device to determine the input information of the positioning model and / or function.

8. The method according to claim 1 or 7, characterized in that, The node-related information includes at least one of the following functions: When the first device is a terminal and the second device is an LMF, the node-related information is used by the LMF to determine the node that sends the DL-PRS; When the first device is a base station and the second device is an LMF, the node-related information is used by the LMF to determine the node that receives the UL-SRS; When the first device is an LMF and the second device is a terminal or a base station, the node-related information is used by the terminal or the base station to determine the reporting quantity that needs to be sent to the LMF, and the reporting quantity is used to determine the input information of the positioning model and / or function; When the first device is an LMF and the second device is a terminal or a base station, the node-related information is used by the terminal or the base station to determine input information for a positioning model and / or function.

9. The method according to claim 1, wherein Sending the node-related information to the second device includes at least one of the following: During the model identification process, sending the node-related information to the second device; During the function identification process, sending the node-related information to the second device; During the data collection process, sending the node-related information to the second device.

10. The method according to claim 1, characterized in that, The node-related information is carried by metadata of model identification, and / or the node-related information is carried by the capability information of the first device, and / or the node-related information is carried by the configuration information of the first device.

11. The method according to claim 1, wherein The method further includes: Determining a node screening criterion for determining a node corresponding to the node-related information; Wherein, the node screening criterion includes at least one of the following: Parameters for screening nodes; Thresholds for parameters for screening nodes; Conditions for screening nodes.

12. The method according to claim 11, wherein Determining the node screening criterion includes: Receiving the node screening criterion sent by the second device.

13. The method according to claim 1, characterized in that, Before sending the node-related information to the second device, the method further includes: Receiving indication information sent by the second device, where the indication information is used to instruct the first device to report the node-related information; and / or the indication information is used to indicate the information content of the node-related information.

14. The method according to any one of claims 1 to 13, characterized in that The node is a transmission and reception point (TRP).

15. An information transmission method, characterized in that, Including: The second device receives the node-related information sent by the first device, where the node is a network node related to input information for a positioning model and / or function; Performing positioning-related operations according to the node-related information; Wherein, the node-related information includes at least one of the following: Quantity information of nodes; Identification information of nodes; Measurement results of reference signals corresponding to nodes; Information of nodes expected by the first device.

16. The method according to claim 15, characterized in that, The first device is a terminal or a base station, and the second device is an LMF; Or, The first device is an LMF, and the second device is a terminal or a base station.

17. The method according to claim 15, characterized in that, The quantity information of the nodes includes at least one of the following: Quantity of node combinations; Quantity of nodes included in each node combination; Maximum quantity of nodes included in each node combination; Minimum quantity of nodes included in each node combination.

18. The method according to claim 15, wherein The identification information of the nodes includes at least one of the following: Identification of each node; Identifications of nodes included in each node combination; Identification of each node combination; Sorting mode corresponding to the identification of the node.

19. The method according to claim 15, wherein The information of the nodes expected by the first device includes at least one of the following: Node combinations expected by the first device; Quantity of node combinations expected by the first device; Maximum quantity of node combinations expected by the first device; Minimum quantity of node combinations expected by the first device; Priority of node combinations expected by the first device; Nodes expected by the first device; Quantity of nodes expected by the first device; Maximum quantity of nodes expected by the first device; Minimum quantity of nodes expected by the first device; Priority of nodes expected by the first device; The number of nodes corresponding to the reporting quantity that the first device expects the second device to send; The maximum number of nodes corresponding to the reporting quantity that the first device expects the second device to send; The minimum number of nodes corresponding to the reporting quantity that the first device expects the second device to send.

20. The method according to claim 15, wherein The measurement result includes: The measurement result obtained by the first device measuring the DL-PRS sent by the node; And / or The measurement result obtained by the node measuring the UL-SRS sent by the terminal.

21. The method according to claim 15, characterized in that Performing location-related operations according to the node-related information includes at least one of the following: Determining the node that sends the reference signal according to the node-related information; Determining the node that receives the reference signal according to the node-related information; Determining the reporting quantity sent to the first device according to the node-related information; Determining the input information of the model and / or function for positioning according to the node-related information.

22. The method according to claim 15 or 21, characterized in that Performing location-related operations according to the node-related information includes at least one of the following: When the first device is a terminal and the second device is an LMF, the LMF determines the node that sends the DL-PRS according to the node-related information; When the first device is a base station and the second device is an LMF, the LMF determines the node that receives the UL-SRS according to the node-related information; When the first device is an LMF and the second device is a terminal or a base station, the terminal or the base station determines the reporting quantity that needs to be sent to the LMF according to the node-related information, and the reporting quantity is used to determine the input information of the model or function for positioning; When the first device is an LMF and the second device is a terminal or a base station, the terminal or the base station determines the input information of the model and / or function for positioning according to the node-related information.

23. The method according to claim 15, wherein Receiving the node-related information sent by the first device includes at least one of the following: Receiving the node-related information sent by the first device during the model recognition process; Receiving the node-related information sent by the first device during the function recognition process; Receiving the node-related information sent by the first device during the data collection process.

24. The method according to claim 15, wherein The node-related information is carried by the metadata of the model recognition, and / or the node-related information is carried by the capability information of the first device, and / or the node-related information is carried by the configuration information of the first device.

25. The method according to claim 15, wherein The method further includes: Determining a node screening criterion for determining the node corresponding to the node-related information; Wherein, the node screening criterion includes at least one of the following: The parameter for screening the node; The threshold of the parameter for screening the node; The condition for screening the node.

26. The method according to claim 25, characterized in that The method further includes: Sending the node screening criterion to the first device.

27. The method according to claim 15, wherein, Before receiving the node-related information sent by the first device, the method further includes: Sending indication information to the first device, where the indication information is used to indicate the first device to report the node-related information; and / or the indication information is used to indicate the information content of the node-related information.

28. The method according to any one of claims 15 to 27, characterized in that The node is a TRP.

29. A communication device, the communication device being a first device, characterized in that, Includes: A memory, a transceiver, a processor: The memory is used to store a computer program; A transceiver for receiving and sending data under the control of the processor; A processor for reading the computer program in the memory and performing the following operations: Sending node-related information to a second device, where the node is a network node related to input information for a positioning model and / or function; Wherein the node-related information includes at least one of the following: The quantity information of the nodes; The identification information of the nodes; The measurement results of the reference signals corresponding to the nodes; The information of the nodes expected by the first device.

30. A communication device, the communication device being a second device, characterized in that, Comprising: A memory, a transceiver, a processor: A memory for storing a computer program; A transceiver for receiving and sending data under the control of the processor; A processor for reading the computer program in the memory and performing the following operations: Receiving node-related information sent by a first device, where the node is a network node related to input information for a positioning model and / or function; Performing positioning-related operations according to the node-related information; Wherein the node-related information includes at least one of the following: The quantity information of the nodes; The identification information of the nodes; The measurement results of the reference signals corresponding to the nodes; The information of the nodes expected by the first device.

31. An information transmission device, applied to a first device, characterized in that, Comprising: A first sending unit for sending node-related information to a second device, where the node is a network node related to input information for a positioning model and / or function; Wherein the node-related information includes at least one of the following: The quantity information of the nodes; The identification information of the nodes; The measurement results of the reference signals corresponding to the nodes; The information of the nodes expected by the first device.

32. An information transmission device, applied to a second device, characterized in that, Comprising: A first receiving unit for receiving node-related information sent by a first device, where the node is a network node related to input information for a positioning model and / or function; A processing unit for performing positioning-related operations according to the node-related information; Wherein the node-related information includes at least one of the following: The quantity information of the nodes; The identification information of the nodes; The measurement results of the reference signals corresponding to the nodes; The information of the nodes expected by the first device.

33. A processor-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the information transmission method according to any one of claims 1 to 14, or implements the steps of the information transmission method according to any one of claims 15 to 28.

34. A computer program product, characterized in that, Including computer instructions, when the computer instructions are executed by the processor, it implements the steps of the information transmission method according to any one of claims 1 to 14, or implements the steps of the information transmission method according to any one of claims 15 to 28.

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