Information transmission method, apparatus, and communication device

Abstract

The present disclosure provides an information transmission method, an apparatus, and a communication device. The method comprises: a first device transmits to a second device information related to nodes, the nodes being network nodes associated with input information of a model and / or function for positioning, wherein the information related to the nodes comprises at least one of the following: quantity information of the nodes; identification information of the nodes; measurement results of reference signals corresponding to the nodes; and information of a node expected by the first device.

Description

Information transmission method, device and communication equipment

[0001] This disclosure claims priority to the Chinese patent application filed with the China Patent Office on January 31, 2024, with application number 202410138623.9 and application name “Information Transmission Method, Device and Communication Equipment,” the entire contents of which are incorporated herein by reference. Technical Field

[0002] The present disclosure relates to the field of communication technology, and in particular to an information transmission method, apparatus, and communication equipment. Background Art

[0003] Artificial Intelligence (AI) and Machine Learning (ML) have demonstrated remarkable capabilities in internet-based fields such as image and speech recognition. 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), while in AI / ML-assisted positioning, the model outputs intermediate measurements such as time of arrival (ToA).

[0004] The AI / ML model may be deployed on the UE side, the next generation NodeB (gNB) side, or the location management function (LMF) side. During AI / ML model positioning, the side where the AI / ML model is not deployed cannot obtain the specific information of the AI / ML model input, which may result in the sending of useless information and waste of air interface resources. Summary of the Invention

[0005] The purpose of the present disclosure is to provide an information transmission method, apparatus, and communication device to solve the problem of resource waste in AI / ML model positioning.

[0006] An embodiment of the present disclosure provides an information transmission method, which is performed by a first device and includes:

[0007] The first device sends node related information to the second device, where the node is a network node related to input information of a model and / or function for positioning;

[0008] The node-related information includes at least one of the following:

[0009] Number of nodes;

[0010] Node identification information;

[0011] The measurement result of the reference signal corresponding to the node;

[0012] The first device may also include information about the node that the first device desires.

[0013] In some embodiments, the first device is a terminal or a base station, and the second device is a location management function LMF.

[0014] or,

[0015] The first device is an LMF, and the second device is a terminal or a base station.

[0016] In some embodiments, the node quantity information includes at least one of the following:

[0017] The number of node combinations;

[0018] The number of nodes contained in each node combination;

[0019] The maximum number of nodes each node combination contains;

[0020] The minimum number of nodes that each node combination must contain.

[0021] In some embodiments, the identification information of the node includes at least one of the following:

[0022] The identity of each node;

[0023] The identities of the nodes contained in each node combination;

[0024] The identity of each node combination;

[0025] The sorting mode corresponding to the node identifier.

[0026] In some embodiments, the information of the node desired by the first device includes at least one of the following:

[0027] a node combination desired by the first device;

[0028] the number of node combinations desired by the first device;

[0029] The maximum number of node combinations desired by the first device;

[0030] a minimum number of node combinations desired by the first device;

[0031] a priority of the node combination desired by the first device;

[0032] a node desired by the first device;

[0033] the number of nodes desired by the first device;

[0034] the maximum number of nodes desired by the first device;

[0035] the minimum number of nodes desired by the first device;

[0036] the priority of the node desired by the first device;

[0037] The number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0038] The maximum number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0039] The first device expects the second device to send a minimum number of nodes corresponding to the reporting amount.

[0040] In some embodiments, the measurement results include:

[0041] A measurement result obtained by the first device measuring a downlink (DL) positioning reference signal (PRS) sent by the node;

[0042] and / or,

[0043] The node measures an uplink (UL) sounding reference signal (SRS) sent by the terminal to obtain a measurement result.

[0044] In some embodiments, the node-related information includes at least one of the following functions:

[0045] used by the second device to determine a node that sends a reference signal;

[0046] used by the second device to determine a node for receiving a reference signal;

[0047] used by the second device to determine the reporting amount to be sent to the first device;

[0048] The second device determines input information for a model and / or function for positioning.

[0049] In some embodiments, the node-related information includes at least one of the following functions:

[0050] When the first device is a terminal and the second device is a LMF, the node related information is used by the LMF to determine a node that sends a DL-PRS;

[0051] In a case where the first device is a base station and the second device is a LMF, the node related information is used by the LMF to determine a node for receiving a UL-SRS;

[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 a reporting amount that needs to be sent to the LMF, and the reporting amount is used to determine input information of a model and / or function for positioning;

[0053] In a case where the first device is a 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 of a model and / or function for positioning.

[0054] In some embodiments, sending the node-related information to the second device includes at least one of the following:

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

[0056] During the function identification process, sending the node related information to the second device;

[0057] During the data collection process, the node related information is sent to the second device.

[0058] In some embodiments, the node-related information is carried by metadata identified by the model, 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.

[0059] In some embodiments, the method further comprises:

[0060] Determining a node screening criterion, wherein the node screening criterion is used to determine the node corresponding to the node related information;

[0061] The node screening criteria include at least one of the following:

[0062] Parameters used to filter nodes;

[0063] The threshold for filtering node parameters;

[0064] The condition used to filter nodes.

[0065] In some embodiments, determining node screening criteria includes:

[0066] The node screening criteria sent by the second device is received.

[0067] In some embodiments, before sending the node-related information to the second device, the method further includes:

[0068] 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 information content of the node-related information.

[0069] In some embodiments, the node is a Transmission-Reception Point (TRP).

[0070] An embodiment of the present disclosure provides an information transmission method, which is performed by a second device and includes:

[0071] The second device receives 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;

[0072] Perform positioning-related operations based on the node-related information;

[0073] The node-related information includes at least one of the following:

[0074] Number of nodes;

[0075] Node identification information;

[0076] The measurement result of the reference signal corresponding to the node;

[0077] The first device may also include information about the node that the first device desires.

[0078] In some embodiments, the first device is a terminal or a base station, and the second device is a LMF;

[0079] or,

[0080] The first device is an LMF, and the second device is a terminal or a base station.

[0081] In some embodiments, the node quantity information includes at least one of the following:

[0082] The number of node combinations;

[0083] The number of nodes contained in each node combination;

[0084] The maximum number of nodes each node combination contains;

[0085] The minimum number of nodes that each node combination must contain.

[0086] In some embodiments, the identification information of the node includes at least one of the following:

[0087] The identity of each node;

[0088] The identities of the nodes contained in each node combination;

[0089] The identity of each node combination;

[0090] The sorting mode corresponding to the node identifier.

[0091] In some embodiments, the information of the node desired by the first device includes at least one of the following:

[0092] a node combination desired by the first device;

[0093] the number of node combinations desired by the first device;

[0094] The maximum number of node combinations desired by the first device;

[0095] a minimum number of node combinations desired by the first device;

[0096] a priority of the node combination desired by the first device;

[0097] a node desired by the first device;

[0098] the number of nodes desired by the first device;

[0099] the maximum number of nodes desired by the first device;

[0100] the minimum number of nodes desired by the first device;

[0101] the priority of the node desired by the first device;

[0102] The number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0103] The maximum number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0104] The first device expects the second device to send a minimum number of nodes corresponding to the reporting amount.

[0105] In some embodiments, the measurement results include:

[0106] A measurement result obtained by the first device measuring the DL-PRS sent by the node;

[0107] and / or,

[0108] The node measures the UL-SRS sent by the terminal and obtains a measurement result.

[0109] In some embodiments, performing positioning-related operations according to the node-related information includes at least one of the following:

[0110] Determining a node that sends a reference signal according to the node related information;

[0111] Determining a node for receiving a reference signal according to the node related information;

[0112] determining a reporting amount to be sent to the first device according to the node-related information;

[0113] The input information of the model and / or function used for positioning is determined according to the node related information.

[0114] In some embodiments, performing positioning-related operations according to the node-related information includes at least one of the following:

[0115] 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;

[0116] When the first device is a base station and the second device is a LMF, the LMF determines a node for receiving the UL-SRS according to the node related information;

[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, based on the node-related information, a reporting amount that needs to be sent to the LMF, where the reporting amount is used to determine input information of a model or function for positioning;

[0118] In a case where 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 of a model and / or function for positioning according to the node-related information.

[0119] In some embodiments, receiving the node-related information sent by the first device includes at least one of the following:

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

[0121] receiving node-related information sent by the first device during a function identification process;

[0122] Receive node-related information sent by the first device during the data collection process.

[0123] In some embodiments, the node-related information is carried by metadata identified by the model, 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.

[0124] In some embodiments, the method further comprises:

[0125] Determining a node screening criterion, wherein the node screening criterion is used to determine the node corresponding to the node related information;

[0126] The node screening criteria include at least one of the following:

[0127] Parameters used to filter nodes;

[0128] The threshold for filtering node parameters;

[0129] The condition used to filter nodes.

[0130] In some embodiments, the method further comprises:

[0131] The node screening criteria is sent to the first device.

[0132] In some embodiments, before receiving the node-related information sent by the first device, the method further includes:

[0133] 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 information content of the node-related information.

[0134] In some embodiments, the node is a TRP.

[0135] An embodiment of the present disclosure provides a communication device, which is a first device and includes: a memory, a transceiver, and a processor.

[0136] A memory for storing a computer program; a transceiver for receiving and sending data under the control of the processor; and a processor for reading the computer program in the memory and performing the following operations:

[0137] Sending node related information to the second device, where the node is a network node related to input information of a model and / or function for positioning;

[0138] The node-related information includes at least one of the following:

[0139] Number of nodes;

[0140] Node identification information;

[0141] The measurement result of the reference signal corresponding to the node;

[0142] The first device may also include information about the node that the first device desires.

[0143] In some embodiments, the first device is a terminal or a base station, and the second device is a LMF;

[0144] or,

[0145] The first device is an LMF, and the second device is a terminal or a base station.

[0146] In some embodiments, the node quantity information includes at least one of the following:

[0147] The number of node combinations;

[0148] The number of nodes contained in each node combination;

[0149] The maximum number of nodes each node combination contains;

[0150] The minimum number of nodes that each node combination must contain.

[0151] In some embodiments, the identification information of the node includes at least one of the following:

[0152] The identity of each node;

[0153] The identities of the nodes contained in each node combination;

[0154] The identity of each node combination;

[0155] The sorting mode corresponding to the node identifier.

[0156] In some embodiments, the information of the node desired by the first device includes at least one of the following:

[0157] a node combination desired by the first device;

[0158] the number of node combinations desired by the first device;

[0159] The maximum number of node combinations desired by the first device;

[0160] a minimum number of node combinations desired by the first device;

[0161] a priority of the node combination desired by the first device;

[0162] a node desired by the first device;

[0163] the number of nodes desired by the first device;

[0164] the maximum number of nodes desired by the first device;

[0165] the minimum number of nodes desired by the first device;

[0166] the priority of the node desired by the first device;

[0167] The number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0168] The maximum number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0169] The first device expects the second device to send a minimum number of nodes corresponding to the reporting amount.

[0170] In some embodiments, the measurement results include:

[0171] A measurement result obtained by the first device measuring a downlink DL positioning reference signal PRS sent by the node;

[0172] and / or,

[0173] The node measures an uplink UL sounding reference signal SRS sent by the terminal and obtains a measurement result.

[0174] In some embodiments, the node-related information includes at least one of the following functions:

[0175] used by the second device to determine a node that sends a reference signal;

[0176] used by the second device to determine a node for receiving a reference signal;

[0177] used by the second device to determine the reporting amount to be sent to the first device;

[0178] The second device determines input information for a model and / or function for positioning.

[0179] In some embodiments, the node-related information includes at least one of the following functions:

[0180] When the first device is a terminal and the second device is a LMF, the node related information is used by the LMF to determine a node that sends a DL-PRS;

[0181] In a case where the first device is a base station and the second device is a LMF, the node related information is used by the LMF to determine a node for receiving a UL-SRS;

[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 a reporting amount that needs to be sent to the LMF, and the reporting amount is used to determine input information of a model and / or function for positioning;

[0183] In a case where the first device is a 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 of a model and / or function for positioning.

[0184] In some embodiments, the processor is configured to read the computer program in the memory and perform at least one of the following operations:

[0185] During the model recognition process, sending the node related information to the second device;

[0186] During the function identification process, sending the node related information to the second device;

[0187] During the data collection process, the node related information is sent to the second device.

[0188] In some embodiments, the node-related information is carried by metadata identified by the model, 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.

[0189] In some embodiments, the processor is configured to read the computer program in the memory and perform the following operations:

[0190] Determining a node screening criterion, wherein the node screening criterion is used to determine the node corresponding to the node related information;

[0191] The node screening criteria include at least one of the following:

[0192] Parameters used to filter nodes;

[0193] The threshold for filtering node parameters;

[0194] The condition used to filter nodes.

[0195] In some embodiments, the processor is configured to read the computer program in the memory and perform the following operations:

[0196] The node screening criteria sent by the second device is received.

[0197] In some embodiments, the processor is configured to read the computer program in the memory and perform the following operations:

[0198] 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 information content of the node-related information.

[0199] In some embodiments, the node is a transmission reception point TRP.

[0200] An embodiment of the present disclosure provides a communication device, which is a second device and includes: a memory, a transceiver, and a processor.

[0201] A memory for storing a computer program; a transceiver for receiving and sending data under the control of the processor; and a processor for reading the computer program in the memory and performing the following operations:

[0202] receiving node-related information sent by a first device, where the node is a network node related to input information of a model and / or function for positioning;

[0203] Perform positioning-related operations based on the node-related information;

[0204] The node-related information includes at least one of the following:

[0205] Number of nodes;

[0206] Node identification information;

[0207] The measurement result of the reference signal corresponding to the node;

[0208] The first device may also include information about the node that the first device desires.

[0209] In some embodiments, the first device is a terminal or a base station, and the second device is a LMF;

[0210] or,

[0211] The first device is an LMF, and the second device is a terminal or a base station.

[0212] In some embodiments, the node quantity information includes at least one of the following:

[0213] The number of node combinations;

[0214] The number of nodes contained in each node combination;

[0215] The maximum number of nodes each node combination contains;

[0216] The minimum number of nodes that each node combination must contain.

[0217] In some embodiments, the identification information of the node includes at least one of the following:

[0218] The identity of each node;

[0219] The identities of the nodes contained in each node combination;

[0220] The identity of each node combination;

[0221] The sorting mode corresponding to the node identifier.

[0222] In some embodiments, the information of the node desired by the first device includes at least one of the following:

[0223] a node combination desired by the first device;

[0224] the number of node combinations desired by the first device;

[0225] The maximum number of node combinations desired by the first device;

[0226] a minimum number of node combinations desired by the first device;

[0227] a priority of the node combination desired by the first device;

[0228] a node desired by the first device;

[0229] the number of nodes desired by the first device;

[0230] the maximum number of nodes desired by the first device;

[0231] the minimum number of nodes desired by the first device;

[0232] the priority of the node desired by the first device;

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

[0234] The maximum number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0235] The first device expects the second device to send a minimum number of nodes corresponding to the reporting amount.

[0236] In some embodiments, the measurement results include:

[0237] A measurement result obtained by the first device measuring the DL-PRS sent by the node;

[0238] and / or,

[0239] The node measures the UL-SRS sent by the terminal and obtains a measurement result.

[0240] In some embodiments, the processor is configured to read the computer program in the memory and perform at least one of the following operations:

[0241] Determining a node that sends a reference signal according to the node related information;

[0242] Determining a node for receiving a reference signal according to the node related information;

[0243] determining a reporting amount to be sent to the first device according to the node-related information;

[0244] The input information of the model and / or function used for positioning is determined according to the node related information.

[0245] In some embodiments, the processor is configured to read the computer program in the memory and perform at least one of the following operations:

[0246] 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;

[0247] When the first device is a base station and the second device is a LMF, the LMF determines a node for receiving the UL-SRS according to the node related information;

[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, based on the node-related information, a reporting amount that needs to be sent to the LMF, where the reporting amount is used to determine input information of a model or function for positioning;

[0249] In a case where 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 of a model and / or function for positioning according to the node-related information.

[0250] In some embodiments, the processor is configured to read the computer program in the memory and perform at least one of the following operations:

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

[0252] receiving node-related information sent by the first device during a function identification process;

[0253] Receive node-related information sent by the first device during the data collection process.

[0254] In some embodiments, the node-related information is carried by metadata identified by the model, 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.

[0255] In some embodiments, the processor is configured to read the computer program in the memory and perform the following operations:

[0256] Determining a node screening criterion, wherein the node screening criterion is used to determine the node corresponding to the node related information;

[0257] The node screening criteria include at least one of the following:

[0258] Parameters used to filter nodes;

[0259] The threshold for filtering node parameters;

[0260] The condition used to filter nodes.

[0261] In some embodiments, the processor is configured to read the computer program in the memory and perform the following operations:

[0262] The node screening criteria is sent to the first device.

[0263] In some embodiments, the processor is configured to read the computer program in the memory and perform the following operations:

[0264] 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 information content of the node-related information.

[0265] In some embodiments, the node is a TRP.

[0266] An embodiment of the present disclosure provides an information transmission apparatus, applied to a first device, including:

[0267] A first sending unit is 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;

[0268] The node-related information includes at least one of the following:

[0269] Number of nodes;

[0270] Node identification information;

[0271] The measurement result of the reference signal corresponding to the node;

[0272] The first device may also include information about the node that the first device desires.

[0273] An embodiment of the present disclosure provides an information transmission apparatus, applied to a second device, including:

[0274] A first receiving unit is configured to receive node-related information sent by a first device, where the node is a network node related to input information of a model and / or function for positioning;

[0275] A processing unit, configured to perform positioning-related operations according to the node-related information;

[0276] The node-related information includes at least one of the following:

[0277] Number of nodes;

[0278] Node identification information;

[0279] The measurement result of the reference signal corresponding to the node;

[0280] The first device may also include information about the node that the first device desires.

[0281] An embodiment of the present disclosure provides a processor-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the above-mentioned information transmission method are implemented.

[0282] An embodiment of the present disclosure provides a computer program product, including computer instructions, which implement the steps of the above-mentioned information transmission method when executed by a processor.

[0283] The beneficial effects of the above technical solution disclosed in the present invention are:

[0284] In an embodiment of the present disclosure, a first device sends information of nodes related to input of a positioning model and / or function to a second device, so that the second device can perform positioning-related operations based on the node-related information, thereby avoiding waste of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0285] Figure 1 shows a schematic diagram of the input and output of an AI / ML model;

[0286] FIG2 shows a schematic diagram of a flow chart of an information transmission method according to an embodiment of the present disclosure;

[0287] FIG3 shows a second flow chart of the information transmission method according to an embodiment of the present disclosure;

[0288] FIG4 shows one structural diagram of an information transmission device according to an embodiment of the present disclosure;

[0289] FIG5 shows a second structural diagram of the information transmission device according to an embodiment of the present disclosure;

[0290] FIG6 shows one structural diagram of a communication device according to an embodiment of the present disclosure;

[0291] FIG7 shows a second structural diagram of the communication device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0292] To make the technical problems, technical solutions, and advantages to be solved by the present disclosure more clear, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments. In the following description, specific details such as specific configurations and components are provided only to help fully understand the embodiments of the present disclosure. Therefore, it should be clear to those skilled in the art that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. In addition, for the sake of clarity and brevity, descriptions of known functions and configurations have been omitted.

[0293] It should be understood that references throughout this specification to "one embodiment" or "an embodiment" mean that a particular feature, structure, or characteristic associated with the embodiment is included in at least one embodiment of the present disclosure. Therefore, the appearances of "in one embodiment" or "in an embodiment" throughout this specification do not necessarily refer to the same embodiment. Furthermore, these particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0294] In the various embodiments of the present disclosure, it should be understood that the size of the serial numbers of the following processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.

[0295] In the embodiments of the present disclosure, the term "and / or" describes the association relationship between associated objects, indicating that three relationships can exist. 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 indicates that the associated objects are in an "or" relationship.

[0296] In the embodiments of the present disclosure, the term "plurality" refers to two or more than two, and other quantifiers are similar thereto.

[0297] The following will be combined with the accompanying drawings in the embodiments of the present disclosure to clearly and completely describe the technical solutions in the embodiments of the present disclosure. Obviously, the embodiments described are only part of the embodiments of the present disclosure and not all of the embodiments. Based on the embodiments of the present disclosure, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present disclosure.

[0298] When describing the embodiments of the present disclosure, some concepts used in the following description are first explained.

[0299] 1. AI / ML Model

[0300] When the AI / ML model performs inference, the input of the model can be the channel-related information obtained after the UE measures the downlink positioning reference signal (DL-PRS) sent by the TRP; or, the input of the model can be the channel-related information obtained after the TRP measures the uplink sounding reference signal position information (UL-SRS-Position, UL-SRS-pos) sent by the UE. As shown in Figure 1, channel-related information such as: 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 used to determine the UE position.

[0301] 2. AI / ML Positioning Solutions

[0302] (1) Based on UE positioning, AI / ML models are deployed on the UE side to achieve direct AI / ML positioning or AI / ML-assisted positioning;

[0303] (2) Based on UE-assisted / LMF positioning, AI / ML models are deployed on the UE side to achieve AI / ML-assisted positioning;

[0304] (3) Based on UE-assisted / LMF positioning, AI / ML models are deployed on the LMF side to achieve direct AI / ML positioning;

[0305] (4) Next Generation Radio Access Network (NG-RAN) node-assisted positioning: deploy AI / ML models on the gNB side to achieve AI / ML-assisted positioning;

[0306] (5) NG-RAN node assisted positioning, deploying AI / ML models on the LMF side to achieve direct AI / ML positioning.

[0307] The models of solutions (1) and (2) are deployed on the UE side, and the output of the models is an intermediate quantity used to determine the UE location (for AI / ML-assisted positioning, the output of the model can be ToA, Reference Signal Time Difference (RSTD), etc.), or the output of the model is the UE location. The model of solution (4) is deployed on the gNB / TRP side, and the output of the model is an intermediate quantity used to determine the UE location.

[0308] For the UE-side models of scheme (1) and scheme (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 the 18 TRPs through the DL-PRSs sent by the 18 TRPs respectively. The input of the model is determined based on the channel-related information corresponding to the 18 TRPs obtained by the UE.

[0309] If the TRP corresponding to the channel-related information of the model input is the same in all the data of the training model, it can be called a fixed TRP pattern. For example, the input of the model of all the training data is determined by the channel-related information corresponding to the fixed 18 TRPs. The UE may also measure the DL-PRS sent by some of the 18 TRPs for the following reasons to obtain the corresponding channel-related information and determine the input of the model. At this time, among all the data of the training model, some of the 18 TRPs corresponding to the model input of different data may be different, that is, there are multiple TRP patterns in the training data of the model (some of the 18 TRPs constitute the TRP pattern) and the channel-related information obtained determines the input of the model. In this case, the TRP corresponding to the channel-related information of the model input may change, which can be called a dynamic TRP pattern.

[0310] The reason why the UE measures the dynamic TRP pattern to obtain channel-related information may be:

[0311] 1) Impact of network energy saving, for example, a TRP cannot send DL-PRS for energy saving;

[0312] 2) Provide flexibility to the base station. For example, when some TRPs in TRP pattern 1 cause severe interference when sending DL-PRS, the base station can send DL-PRS according to TRP pattern 2.

[0313] 3) The measurement results of some TRPs among the 18 TRPs measured by the UE may have large interference and poor signal quality.

[0314] For the gNB-side model of solution (4), similar to the UE-side model, the model input can be determined based on the UL-SRS-pos transmitted by the UE measured at multiple TRPs. For all data trained on the model, the TRPs corresponding to the channel-related information input to the model can be the same or different. That is, the gNB-side model input can be determined based on the UL-SRS-pos channel-related information obtained from the TRP corresponding to the fixed TRP pattern or the dynamic TRP pattern.

[0315] 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 by multiple TRPs. Regardless of solution (3) or solution (5), for all data of the training model, the TRP 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 by the UE corresponding to the fixed TRP pattern or the dynamic TRP pattern, or the UL-SRS-pos channel-related information obtained by the TRP.

[0316] Embodiments of the present disclosure provide an information transmission method, apparatus, and communication device to address the problem of resource waste in AI / ML model positioning.

[0317] Among them, the method and the device are based on the same application concept. Since the principles of solving problems by the method and the device are similar, the implementation of the device and the method can refer to each other, and the repeated parts will not be repeated.

[0318] As shown in FIG2 , an embodiment of the present disclosure provides an information transmission method, which is applied to a first device and specifically includes the following steps:

[0319] Step 201: A first device sends 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;

[0320] The node-related information includes at least one of the following:

[0321] Number of nodes;

[0322] Node identification information;

[0323] The measurement result of the reference signal corresponding to the node;

[0324] The node information expected by the first device; the node information expected by the first device may be the expected node information determined by the first device based on historical experience, or the optimal node information determined by the first device based on the signal measurement result, or the node information corresponding to the data expected to be collected by the first device in the process of collecting the data set.

[0325] 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 information of network nodes related to input information of the model and / or function for positioning to the second device, and informs the second device of the node 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 nodes for receiving and / or sending reference signals, thereby avoiding waste of resources caused by configuring redundant nodes; the second device can also determine which reporting quantities need to be reported to the first device based on the node-related information, thereby avoiding waste of resources caused by reporting redundant information.

[0326] The second device may also be a device deployed with a model or function for positioning. In this case, the first device indicates to the second device information of network nodes related to input information of the model and / or function used for positioning, so that the second device can determine the input information of the model and / or function based on the node-related information, thereby avoiding waste of resources caused by using information of some unnecessary nodes.

[0327] In some embodiments, the model used for positioning may be an AI model and / or an ML model.

[0328] In an embodiment of the present disclosure, a first device sends information of nodes related to input of a positioning model and / or function to a second device, so that the second device can perform positioning-related operations based on the node-related information, thereby avoiding waste of resources.

[0329] In some embodiments, the first device is a terminal or a base station, and the second device is a LMF;

[0330] or,

[0331] The first device is an LMF, and the second device is a terminal or a base station.

[0332] In this embodiment, the positioning model and / or function may be deployed on the terminal side, or on the base station side and / or the LMF side. Taking the example of a terminal / gNB as the first device and the LMF as the second device, assuming that the positioning model and / or function is deployed on the terminal / gNB side, and the UE / gNB sends node-related information to the LMF, the LMF may determine, based on the node-related information, which nodes are to transmit downlink reference signals and / or receive uplink reference signals, thereby avoiding resource waste caused by configuring redundant network nodes to transmit and / or receive signals.

[0333] Taking the first device as an LMF and the second device as a terminal / gNB as an example, assuming that a model and / or function for positioning is deployed on the LMF side, the LMF sends node-related information to the terminal / gNB. The terminal can then determine which network nodes send reference signals to receive, or the gNB can determine which network nodes receive the reference signals sent by the terminal, thereby reporting the measurement channel-related information corresponding to the corresponding node to the LMF, avoiding unnecessary signal measurement and information reporting.

[0334] Taking the first device as an LMF and the second device as a terminal / gNB as an example, assuming that a model and / or function for positioning is deployed on the terminal / gNB side, the LMF can indicate 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 based on the node-related information, avoiding the use of unnecessary information and resulting in waste of resources.

[0335] In some embodiments, the node is a transmission reception point (TRP). That is, the first device sends TRP-related information to the second device. The TRP-related information may be related information of multiple TRPs, and the TRP-related information is related to the input of the model and / or function used for positioning.

[0336] The node in the embodiments of the present disclosure may refer to a TRP node. For an AI / ML model or positioning function, its input may be channel-related information obtained by the terminal measuring the downlink reference signal sent by the TRP. In this case, the TRP may be one or more; or, its input may be channel-related information obtained by the TRP or gNB measuring the uplink reference signal sent by the terminal. In this case, the input of the model and / or function may be determined based on the uplink reference signal sent by one or more TRP measurement terminals.

[0337] It should be noted that the gNB in ​​the embodiments of the present disclosure may be the TRP itself, or the gNB may include one or more TRPs.

[0338] In some embodiments, the node quantity information includes at least one of the following:

[0339] 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 used for positioning; the number of node combinations may be greater than or equal to 1;

[0340] 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 node combination related to the input information of the model and / or function used for positioning;

[0341] 3) The maximum number of nodes included in each node combination; the first device may indicate the maximum number of nodes included in each node combination related to the input information of the model and / or function used for positioning; the maximum number may be greater than or equal to 1;

[0342] 4) Minimum number of nodes included in each node combination. The first device may indicate the minimum number of nodes included in each node combination related to the input information of the model and / or function used for positioning; the minimum number may be greater than or equal to 1.

[0343] In some embodiments, the identification information of the node includes at least one of the following:

[0344] The identity of each node;

[0345] The identities of the nodes contained in each node combination;

[0346] The identity of each node combination;

[0347] The node identifier corresponds to the sorting mode; nodes can be sorted or numbered in different modes, and the identifier corresponding to the same node may be different in different modes.

[0348] In some embodiments, the measurement results include:

[0349] A measurement result obtained by the first device measuring a downlink DL positioning reference signal PRS sent by the node;

[0350] and / or,

[0351] The node measures an uplink UL sounding reference signal SRS sent by the terminal and obtains a measurement result.

[0352] In this embodiment, the first device can send measurement results corresponding to one or more nodes or node combinations to the second device, for example: the measurement result is the reference signal received power (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.

[0353] In some embodiments, the information of the node desired by the first device includes at least one of the following:

[0354] a node combination desired by the first device;

[0355] the number of node combinations desired by the first device;

[0356] The maximum number of node combinations desired by the first device;

[0357] a minimum number of node combinations desired by the first device;

[0358] a priority of the node combination desired by the first device;

[0359] a node desired by the first device;

[0360] the number of nodes desired by the first device;

[0361] the maximum number of nodes desired by the first device;

[0362] the minimum number of nodes desired by the first device;

[0363] the priority of the node desired by the first device;

[0364] The number of nodes corresponding to the amount of reports that the first device expects the second device to send; for example, the number of TRPs corresponding to the channel-related information that the LMF expects the UE / gNB to feedback;

[0365] The maximum number of nodes corresponding to the amount of reports that the first device expects the second device to send; for example, the maximum number of TRPs corresponding to the channel-related information that the LMF expects the UE / gNB to feedback;

[0366] The first device expects the second device to send a minimum number of nodes corresponding to the reporting amount; for example, the LMF sends the minimum number of TRPs corresponding to the channel-related information that the UE / gNB expects the UE / gNB to feedback.

[0367] As an optional embodiment, the node-related information includes at least one of the following functions:

[0368] (1) The second device determines a node that sends a reference signal;

[0369] For example: the first device side deploys a positioning model, and the first device sends 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, thereby avoiding the waste of air interface resources caused by unnecessary TRP sending signals.

[0370] (2) used by the second device to determine a node that receives a reference signal;

[0371] For example: the first device deploys a positioning model, and the first device sends 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, thereby avoiding configuring redundant TRPs for signal reception and causing waste of air interface resources.

[0372] (3) used by the second device to determine the amount of reporting to be sent to the first device;

[0373] For example: the first device deploys a positioning model, 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 quantities need to be reported to the first device based on the relevant information of the TRP to determine the model input, so as to avoid sending unnecessary reporting quantities and causing waste of resources.

[0374] (4) Input information used by the second device to determine a model and / or function for positioning.

[0375] For example: the second device side deploys a positioning model, 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.

[0376] As an optional embodiment, the node-related information includes at least one of the following functions:

[0377] (1) When the first device is a terminal and the second device is a LMF, the node-related information is used by the LMF to determine the node that sends the DL-PRS;

[0378] For example: the node is TRP, the UE sends 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.

[0379] (2) When the first device is a base station and the second device is a LMF, the node-related information is used by the LMF to determine a node for receiving a UL-SRS;

[0380] For example, if the node is a TRP, the gNB sends TRP-related information to the LMF, and the LMF determines which TRPs receive the UL-SRS sent by the UE based on the TRP-related information. The gNB may determine the input of the positioning model and / or function based on the channel-related information obtained by measuring UL-SRS-pos by the TRP.

[0381] (3) When the first device is a 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 amount of reporting to be sent to the LMF, and the amount of reporting is used to determine input information for a positioning model and / or function;

[0382] For example, if the node is a TRP, the LMF sends TRP-related information to the UE / gNB, and the UE / gNB determines which TRP-related reporting quantities need to be reported to the LMF based on the TRP-related information; the LMF may determine the input of the positioning model and / or function based on the reporting quantity of the UE / gNB.

[0383] (4) In the case where 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 of a model and / or function for positioning.

[0384] For example, if 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.

[0385] In this embodiment, for the UE-side model or the gNB-side model, the model input may be determined based on a dynamic TRP pattern. Based on the TRP-related information sent by the UE / gNB, the LMF may determine which TRP pattern is more suitable for sending DL-PRS, thereby avoiding the waste of air interface resource overhead caused by unnecessary TRPs sending DL-PRS.

[0386] For the above-mentioned LMF side model, the UE / gNB can determine the DL-PRS / UL-SRS-pos channel-related information corresponding to the TRP for which the reference signal 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.

[0387] As an optional embodiment, the sending the node-related information to the second device includes at least one of the following:

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

[0389] During the function identification process, sending the node related information to the second device;

[0390] During the data collection process, the node related information is sent to the second device.

[0391] In this embodiment, in the case where a model for positioning is deployed on the first device side, the first device can send the node-related information to the second device during the model identification process, for example, the node-related information is carried in the metadata information of the model identification. In the case where a function for positioning is deployed on the first device side, the first device can send the node-related information to the second device during the function identification process. If the first device deploys a model for positioning and / or a function for positioning, the first device can 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.

[0392] In some embodiments, the node-related information is carried by model-identified metadata, 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.

[0393] In this embodiment, the first device can send metadata to the second device during the model recognition process, and the metadata carries the node-related information; the first device can also send its own capability information to the second device, and the capability information carries the node-related information; the first device can 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 the configuration information carries the node-related information.

[0394] As an optional embodiment, the method further includes:

[0395] Determining a node screening criterion, wherein the node screening criterion is used to determine the node corresponding to the node related information;

[0396] The node screening criteria include at least one of the following:

[0397] Parameters used to screen nodes, such as Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), and Signal-to-noise and Interference Ratio (SINR).

[0398] Thresholds for screening node parameters; for example, the maximum (minimum) threshold corresponding to RSRP, the maximum (minimum) threshold corresponding to RSRQ, the maximum (minimum) threshold corresponding to SINR, etc.;

[0399] Conditions used to filter nodes; for example: RSRP needs to be greater than a first value; RSRQ needs to be greater than a second value; SINR needs to be greater than a third value.

[0400] In some embodiments, determining the node screening criteria includes: receiving the node screening criteria sent by the second device.

[0401] In this embodiment, the node screening criteria may be determined by the first device, or determined by the second device and sent to the first device. The node screening criteria may be used by the first device to determine the nodes involved in the node-related information. For example, the first device determines the desired node information based on the node screening criteria.

[0402] As an optional embodiment, before sending the node-related information to the second device, the method further includes:

[0403] 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 information content of the node-related information.

[0404] For example, the second device may send an instruction 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 the instruction.

[0405] In some embodiments, the first device may also send other information to the second device, such as a cell identifier, a sub-cell identifier, a sub-area identifier, etc.

[0406] The implementation process of the information transmission method is described below for different first devices and second devices respectively.

[0407] Example 1: The first device is a UE, and the AI ​​model / function is deployed on the UE side.

[0408] Step 11: The UE determines TRP-related auxiliary information (i.e., the aforementioned node-related information). The TRP-related auxiliary information is related to the input for determining the AI ​​model / function.

[0409] Step 12: The UE sends TRP related information to the LMF.

[0410] In this embodiment, the AI ​​model is deployed on the UE side. The input of the AI ​​model may be the DL-PRS channel-related information obtained by the UE measuring the DL-PRS signal sent by the TRP, such as CIR, PDP, DP, RSRP, etc. Among them, the TRP measured by the UE may be multiple, that is, the UE obtains the 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 the channel-related information. The output of the AI ​​model is the UE position or an intermediate quantity related to the position, such as ToA, Angle of Arrival (AoA), RSTD, RSRP, Line of Sight (LOS), Non-Line of Sight (NLOS) indicator, etc.

[0411] After the UE deploys the AI ​​model, it may need to perform a model identification process. For example, the UE sends key information related to the AI ​​model to the LMF. The LMF can configure an appropriate TRP combination based on this key information to send DL-PRS. For example, the UE can send TRP-related information to the LMF, which can be carried in the model metadata information of the model identification; or the UE can send TRP-related information during the function identification process of the AI ​​model.

[0412] The TRP-related information may include at least one of the following:

[0413] 1) Number of TRP combinations: In the training data of the AI ​​model, the input data of each training data is DL-PRS channel-related information corresponding to multiple TRPs. In this embodiment, multiple TRPs are referred to as TRP combinations. Different training data input data may correspond to different TRP combinations. The number of TRP combinations is the total number of possible TRP combinations corresponding to the input data of all training data of the AI ​​model.

[0414] 2) TRP combination: A TRP combination includes at least one TRP, and each TRP has a TRP identifier. In some embodiments, the TRP identifier (ID) can be a TRP ID, or a DL-PRS ID. The UE can send all possible TRP combinations of the AI ​​model to the LMF. For example: there are 20 TRP combinations corresponding to the input data of the AI ​​model, and the UE sends all 20 TRP combinations to the LMF. In some embodiments, the UE also sends the TRP identifier included in each TRP combination to the LMF. Alternatively, the LMF indicates the identifiers of some TRP combinations, or the protocol stipulates the identifiers of some TRP combinations, and the UE can send the identifiers of some desired TRP combinations to the LMF.

[0415] 3) The number of TRPs included in a TRP combination: The number of TRPs corresponding to each TRP combination in all possible TRP combinations of the AI ​​model may be the same. The UE can send the number of TRPs included in a TRP combination to the LMF.

[0416] 4) The maximum number of TRPs included in a TRP combination: The number of TRPs corresponding to each TRP combination in all possible TRP combinations of the AI ​​model may be different. The UE can send the maximum number of TRPs included in a TRP combination to the LMF.

[0417] 5) The minimum number of TRPs included in a TRP combination: The number of TRPs corresponding to each TRP combination in all possible TRP combinations of the AI ​​model may be different. The UE can send the minimum number of TRPs included in a TRP combination to the LMF.

[0418] 6) TRP Identifier Version (i.e., Sorting Mode): The TRP ID corresponding to a TRP may change. For example, the TRP ID of a TRP at time T1 is 1, and after a period of time, the TRP ID changes to 3. When the TRP identifier does not change, the TRP identifier version number remains unchanged. The UE can send the TRP identifier version number to the LMF. The LMF maintains a correspondence / correspondence list between TRPs and TRP identifiers in a TRP identifier version. The LMF can correctly configure the TRP corresponding to the TRP identifier to send DL-PRS according to the TRP identifier version.

[0419] It should be noted that in addition to sending the above-mentioned TRP-related information to the LMF during the model identification 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 that it can support.

[0420] If the UE collects data for the UE-side AI model, the UE can carry the above-mentioned TRP-related information in the data request information when collecting data. The UE carries the TRP-related information to the LMF in the data request information. The LMF can refer to the TRP-related information to configure a suitable TRP combination to send DL-PRS, so that the UE can collect suitable training data to train the AI ​​model on the UE side.

[0421] In some embodiments, when collecting data, the UE may carry at least one of the following information to the LMF in the data request information during the data collection process:

[0422] (1) M “TRP combinations” expected / preferred by the UE, where M is greater than or equal to 1;

[0423] a: The M "TRP combinations" may be the M "TRP combinations" determined by the UE based on historical experience; or, the M "TRP combinations" may be the M "TRP combinations" determined by the UE based on the DL-PRS measurement results after measuring the DL-PRS sent by all TRPs in the TRP set;

[0424] b: When the UE sends M "TRP combinations", it may also send the following information:

[0425] b1: specific value of M;

[0426] 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";

[0427] b3: The measurement results corresponding to each TRP in each “TRP combination”;

[0428] (2): N TRPs expected / preferred by the UE;

[0429] c: The N TRPs may be determined by the UE based on historical experience; or the N TRPs may be determined by the UE based on the DL-PRS measurement results after measuring the DL-PRS sent by all TRPs in the TRP set, for example, the N TRPs with the highest RSRP in the DL-PRS measurement results;

[0430] d: When sending the information of the expected / preferred N TRPs, the UE may also send the following information:

[0431] d1: specific value of N;

[0432] d2: The order of the N TRPs, for example, sorting them from largest to smallest according to RSRP;

[0433] d3: Measurement results of each TRP.

[0434] In this embodiment, the values ​​of M and N may be those agreed upon by the protocol. For example, if M=4, the UE will send four desired or preferred TRP combinations to the LMF. Alternatively, M and N may be values ​​configured by the network device (LMF). The UE needs to receive the values ​​of M and N configured by the LMF before sending M "TRP combinations" or N TRPs.

[0435] In addition, the LMF may also send the UE the indicators for screening M "TRP combinations" or N TRPs, such as RSRP, RSRQ, SINR, etc. When the UE determines the M "TRP combinations" or N TRPs, it performs TRP combination or TRP screening based on the type of specific screening indicators sent by the LMF.

[0436] In addition to sending the indicator for screening TRP, LMF can also send the conditions or thresholds that the indicator needs to meet. For example, LMF indicates that RSRP needs to be greater than -20dB. Then, when the UE determines the desired TRP combination or TRP, the TRP whose DL-PRS measurement result is greater than the -20dB threshold is the desired TRP combination or TRP that meets the conditions. The indicator for screening TRP can also be a protocol agreement rather than an LMF indication. After the UE determines that the DL-PRS measurement result meets the indicator and range agreed in the protocol, it considers that the TRP corresponding to these DL-PRS measurement results is the TRP combination or TRP expected by the UE.

[0437] In some embodiments, the LMF may 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;

[0438] For example: LMF instructs the UE to send the number of TRP combinations corresponding to the AI ​​model, 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.

[0439] In some embodiments, after completing the model inference of the AI ​​model on the UE side, the UE can also send the optimal M "TRP combinations", the optimal N TRPs, the TRP combination used during model inference, and the TRP combination desired by the UE / gNB to the LMF.

[0440] In some embodiments, in addition to sending the above-mentioned TRP-related information, the UE may also send other auxiliary information to the LMF, such as: the cell identifier of the UE, the subarea identifier, the direction of the UE relative to a certain reference point, the type or position of the reference point, etc.

[0441] Example 2: The first device is a gNB, and the AI ​​model / function is deployed on the gNB side.

[0442] Step 21: The gNB determines TRP-related information (i.e., the node-related information mentioned above). This TRP-related information is related to the input for determining the AI ​​model / function.

[0443] Step 22: The gNB sends TRP related information to the LMF.

[0444] In this embodiment, the AI ​​model is deployed on the gNB side. The input of the AI ​​model can be UL-SRS-pos channel-related information obtained by measuring the UL-SRS-pos signal sent by the UE using a TRP, such as CIR, PDP, DP, RSRP, etc. Specifically, multiple TRPs can be used to measure the UL-SRS-pos signal sent by the UE to obtain UL-SRS-pos channel-related information corresponding to multiple TRPs, based on which the input of the AI ​​model is determined. The output of the AI ​​model is a position-related intermediate quantity, such as ToA, AoA, RSTD, RSRP, LOS / NLOS indicator, etc.

[0445] After deploying the AI ​​model on the gNB, the gNB may need to perform a model identification process. For example, the gNB sends key information related to the AI ​​model to the LMF. The LMF can then configure an appropriate TRP combination based on this key information to measure the UL-SRS-pos transmitted by the UE. For example, the gNB can send TRP-related information to the LMF, which can be carried in the model metadata information during model identification. Alternatively, the gNB can send TRP-related information during the AI ​​model function identification process.

[0446] TRP related information includes: the number of TRP combinations, 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, and the version of the TRP identifier.

[0447] If the gNB collects data for the gNB-side AI model, the gNB can include the TRP-related information in the data request message during data collection.

[0448] In some embodiments, the gNB may include the following information in the data request message during data collection to the LMF:

[0449] (1) M “TRP combinations” expected / preferred by the gNB, where M may be equal to 1;

[0450] When the gNB sends M "TRP combinations", it may also send the following information:

[0451] The specific value of M;

[0452] The priority corresponding to each TRP combination. After receiving the M TRP combinations preferred by the gNB, the LMF can also use the priority corresponding to each TRP combination to know the priority / expectation of the gNB among the M TRP combinations.

[0453] The measurement results of each TRP in each “TRP combination”;

[0454] (2) The gNB's most desired / preferred N TRPs;

[0455] In this embodiment, the values ​​of M and N may be those agreed upon by the protocol, or M and N may be values ​​configured by the network device (LMF). The gNB needs to receive the values ​​of M and N configured by the LMF before sending M "TRP combinations" or N TRPs.

[0456] In addition, the LMF can also send the gNB indicators for screening M "TRP combinations" or N TRPs, such as RSRP, RSRQ, and SINR. In addition to sending the indicators for screening TRPs, the LMF can also send the conditions or thresholds that the indicators must meet. For example, the LMF indicates that the RSRP must be greater than -20dB. These indicators can also be agreed upon by the protocol rather than indicated by the LMF.

[0457] In some embodiments, the LMF may 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:

[0458] For example, LMF instructs the gNB to send the number of TRP combinations corresponding to the AI ​​model, the corresponding TRP combination, 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 TRPs, the priority of each "TRP combination" within the preferred M "TRP combinations", the measurement results corresponding to the "TRP combination" or TRP, etc.

[0459] After completing 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 combination used during model inference, and the TRP combination desired by the gNB to the LMF.

[0460] Example 3: The first device is LMF, and the AI ​​model is deployed on the LMF side.

[0461] Step 31: The LMF determines TRP-related information, which is related to determining the input of the AI ​​model;

[0462] Step 32: LMF sends TRP related information to UE / gNB.

[0463] In this embodiment, the 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 DL-PRS / UL-SRS-pos channel-related information corresponding to multiple TRPs. The output of the AI ​​model is the UE position.

[0464] After the AI ​​model is deployed on the LMF side, the LMF sends key information related to the AI ​​model to the UE / gNB. The AI ​​model input is related to the DL-PRS / UL-SRS-pos channel information corresponding to multiple TRPs fed back by the UE / gNB. If the UE / gNB is able to obtain the TRP information related to the AI ​​model in advance, the UE / gNB can determine the channel information related to the appropriate TRP combination when feeding back the DL-PRS / UL-SRS-pos channel information.

[0465] In some embodiments, TRP-related information includes: the number of TRP combinations, TRP combinations, the number of TRPs included in a TRP combination, the maximum number of TRPs included in a TRP combination, and the minimum number of TRPs included in a TRP combination.

[0466] If LMF collects data for the AI ​​model on the LMF side, LMF can carry the above-mentioned TRP-related information in the data request information during data collection. LMF sends the TRP-related information to UE / gNB by carrying it in the data request information.

[0467] In some embodiments, the LMF carries at least one of the following information in the data request message during the data collection process to the UE / gNB:

[0468] (1) The LMF expects / preferred M "TRP combinations", where M can be equal to 1. The UE / gNB can obtain the channel-related information of each TRP combination based on the received M "TRP combinations". The UE / gNB only feeds back the channel-related information of the "TRP combinations" whose channel correlation results meet the "requirements or conditions" to the LMF. Here, the "requirements or conditions" can be agreed upon in 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 must be one or more of the M "TRP combinations".

[0469] When 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.

[0470] (2) N TRPs expected / preferred by LMF.

[0471] (3) The number of TRPs corresponding to the channel-related information that the LMF expects the UE / gNB to feedback.

[0472] (4) The maximum number of TRPs corresponding to the channel-related information that the LMF expects the UE / gNB to feedback.

[0473] (5) The minimum number of TRPs corresponding to the channel-related information that LMF expects UE / gNB to feedback.

[0474] In addition, the LMF may also send TRP screening metrics, such as RSRP, RSRQ, and SINR, to the UE / gNB. In addition to sending TRP screening metrics, the LMF may also send the conditions or thresholds that these metrics must meet. The UE / gNB combines or filters TRPs based on the specific screening metrics sent by the LMF and feeds back channel-related information for TRP combinations that meet the conditions or thresholds to the LMF. These metrics may also be protocol-specified rather than LMF-indicated.

[0475] In some embodiments, the UE / gNB may instruct the LMF to send one or more of the above-mentioned 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.

[0476] When the UE / gNB reports channel-related information (such as CIR, RSTD) after measuring the TRP set configured by the LMF, it may also include: the ranking of the best N TRPs in the TRP set (RSRP ranking) or the RSRP corresponding to the best N TRPs in the TRP set to the LMF, which can be used as a reference when determining the AI ​​model input.

[0477] In the above embodiment, the UE / gNB sends TRP-related information to the LMF, or the LMF sends TRP-related information to the UE / gNB, where the TRP-related information is related to determining the input of the AI ​​model; the TRP-related information may include one or more of the following: the number of TRP combinations, the TRP combination (one TRP combination includes at least one TRP), 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, and a TRP pattern sorting identifier; the M "TRP combinations" expected / optimal by the UE / gNB / LMF; the N TRPs expected / optimal by the UE / gNB / LMF, etc., so that the LMF can determine which nodes send downlink reference signals based on the TRP-related information, or the terminal / gNB can determine which TRPs send reference signals and determine which TRP measurement results to feed back to the LMF, thereby avoiding sending or configuring redundant signals and causing resource waste.

[0478] In an embodiment of the present disclosure, a first device sends information of nodes related to input of a positioning model and / or function to a second device, so that the second device can perform positioning-related operations based on the node-related information, thereby avoiding waste of resources.

[0479] As shown in FIG3 , an embodiment of the present disclosure further provides an information transmission method, which is applied to a second device and includes:

[0480] Step 301: A second device receives node-related information sent by a first device, where the node is a network node related to input information of a model and / or function for positioning;

[0481] Step 302: Perform positioning-related operations according to the node-related information;

[0482] The node-related information includes at least one of the following:

[0483] Number of nodes;

[0484] Node identification information;

[0485] The measurement result of the reference signal corresponding to the node;

[0486] The node information expected by the first device; the node information expected by the first device may be the expected node information determined by the first device based on historical experience, or the optimal node information determined by the first device based on the signal measurement result, or the node information corresponding to the data expected to be collected by the first device during the data set collection process.

[0487] 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 information of network nodes related to input information of the model and / or function for positioning to the second device, and informs the second device of the node 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 nodes for receiving and / or sending reference signals, thereby avoiding waste of resources caused by configuring redundant nodes; the second device can also determine which reporting quantities need to be reported to the first device based on the node-related information, thereby avoiding waste of resources caused by reporting redundant information.

[0488] The second device may also be a device deployed with a model or function for positioning. In this case, the first device indicates to the second device information of network nodes related to input information of the model and / or function used for positioning, so that the second device can determine the input information of the model and / or function based on the node-related information, thereby avoiding waste of resources caused by using information of some unnecessary nodes.

[0489] In some embodiments, the model used for positioning may be an AI model and / or an ML model.

[0490] In an embodiment of the present disclosure, the second device receives node-related information related to the input of the positioning model and / or function sent by the first device, and performs positioning-related operations based on the node-related information to avoid resource waste.

[0491] In some embodiments, the first device is a terminal or a base station, and the second device is a LMF;

[0492] or,

[0493] The first device is an LMF, and the second device is a terminal or a base station.

[0494] In this embodiment, the positioning model and / or function may be deployed on the terminal side, or on the base station side and / or the LMF side. Taking the example of a terminal / gNB as the first device and the LMF as the second device, assuming that the positioning model and / or function is deployed on the terminal / gNB side, and the UE / gNB sends node-related information to the LMF, the LMF may determine, based on the node-related information, which nodes are to transmit downlink reference signals and / or receive uplink reference signals, thereby avoiding resource waste caused by configuring redundant network nodes to transmit and / or receive signals.

[0495] Taking the first device as an LMF and the second device as a terminal / gNB as an example, assuming that a model and / or function for positioning is deployed on the LMF side, the LMF sends node-related information to the terminal / gNB. The terminal can then determine which network nodes send reference signals to receive, or the gNB can determine which network nodes receive the reference signals sent by the terminal, thereby reporting the measurement channel-related information corresponding to the corresponding node to the LMF, avoiding unnecessary signal measurement and information reporting.

[0496] Taking the first device as an LMF and the second device as a terminal / gNB as an example, assuming that a model and / or function for positioning is deployed on the terminal / gNB side, the LMF can indicate 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 based on the node-related information, avoiding the use of unnecessary information and resulting in waste of resources.

[0497] In some embodiments, the node is a transmission reception point (TRP). That is, the second device receives TRP-related information sent by the first device. The TRP-related information may be related information of multiple TRPs, and the TRP-related information is related to the input of the model and / or function used for positioning.

[0498] In some embodiments, the node quantity information includes at least one of the following:

[0499] The number of node combinations;

[0500] The number of nodes contained in each node combination;

[0501] The maximum number of nodes each node combination contains;

[0502] The minimum number of nodes that each node combination must contain.

[0503] In some embodiments, the identification information of the node includes at least one of the following:

[0504] The identity of each node;

[0505] The identities of the nodes contained in each node combination;

[0506] The identity of each node combination;

[0507] The sorting mode corresponding to the node identifier can sort or number the nodes in different modes. In different modes, the identifier corresponding to the same node may be different.

[0508] In some embodiments, the information of the node desired by the first device includes at least one of the following:

[0509] a node combination desired by the first device;

[0510] the number of node combinations desired by the first device;

[0511] The maximum number of node combinations desired by the first device;

[0512] a minimum number of node combinations desired by the first device;

[0513] a priority of the node combination desired by the first device;

[0514] a node desired by the first device;

[0515] the number of nodes desired by the first device;

[0516] the maximum number of nodes desired by the first device;

[0517] the minimum number of nodes desired by the first device;

[0518] the priority of the node desired by the first device;

[0519] The number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0520] The maximum number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0521] The first device expects the second device to send a minimum number of nodes corresponding to the reporting amount.

[0522] In some embodiments, the measurement results include:

[0523] A measurement result obtained by the first device measuring the DL-PRS sent by the node;

[0524] and / or,

[0525] The node measures the UL-SRS sent by the terminal and obtains a measurement result.

[0526] In this embodiment, the first device can send 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.

[0527] As an optional embodiment, performing positioning-related operations according to the node-related information includes at least one of the following:

[0528] (1) determining a node that sends a reference signal based on the node-related information;

[0529] For example: the first device side deploys a positioning model, and the first device sends 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, thereby avoiding the waste of air interface resources caused by unnecessary TRP sending signals.

[0530] (2) determining a node for receiving a reference signal based on the node-related information;

[0531] For example: the first device deploys a positioning model, and the first device sends 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, thereby avoiding configuring redundant TRPs for signal reception and causing waste of air interface resources.

[0532] (3) determining a reporting amount to be sent to the first device based on the node-related information;

[0533] For example: the first device deploys a positioning model, 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 quantities need to be reported to the first device based on the relevant information of the TRP to determine the model input, so as to avoid sending unnecessary reporting quantities and causing waste of resources.

[0534] (4) Determine input information of a model and / or function for positioning based on the node-related information.

[0535] For example: the first device deploys a positioning model, 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 quantities need to be reported to the first device for model input based on the relevant information of the TRP, so as to avoid unnecessary reporting quantities leading to waste of resources.

[0536] As an optional embodiment, performing positioning-related operations according to the node-related information includes at least one of the following:

[0537] (1) When the first device is a terminal and the second device is a LMF, the LMF determines the node that sends the DL-PRS according to the node-related information;

[0538] For example: the node is TRP, the UE sends 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.

[0539] (2) When the first device is a base station and the second device is a LMF, the LMF determines a node for receiving the UL-SRS according to the node-related information;

[0540] For example, if the node is a TRP, the gNB sends TRP-related information to the LMF, and the LMF determines which TRPs receive the UL-SRS sent by the UE based on the TRP-related information. The gNB may determine the input of the positioning model and / or function based on the channel-related information obtained by measuring UL-SRS-pos by the TRP.

[0541] (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 amount of reporting to be sent to the LMF based on the node-related information, where the amount of reporting is used to determine input information for a positioning model or function;

[0542] For example, if the node is a TRP, the LMF sends TRP-related information to the UE / gNB, and the UE / gNB determines which TRP-related reporting quantities need to be reported to the LMF based on the TRP-related information; the LMF may determine the input of the positioning model and / or function based on the reporting quantity of the UE / gNB.

[0543] (4) In the case where 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 of a model and / or function for positioning according to the node-related information.

[0544] For example, if 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.

[0545] In this embodiment, for the UE-side model or the gNB-side model, the model input may be determined based on a dynamic TRP pattern. The LMF may determine which TRP pattern is more suitable for sending DL-PRS based on the TRP-related information sent by the UE / gNB, thereby avoiding wasting air interface resource overhead by sending DL-PRS with unnecessary TRPs.

[0546] For the above-mentioned LMF side model, the UE / gNB can determine the DL-PRS / UL-SRS-pos channel-related information corresponding to the TRP for which the reference signal 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.

[0547] As an optional embodiment, the receiving the node-related information sent by the first device includes at least one of the following:

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

[0549] receiving node-related information sent by the first device during a function identification process;

[0550] Receive node-related information sent by the first device during the data collection process.

[0551] In this embodiment, in the case where a model for positioning is deployed on the first device side, the first device can send the node-related information to the second device during the model identification process, for example, the node-related information is carried in the metadata information of the model identification. In the case where a function for positioning is deployed on the first device side, the first device can send the node-related information to the second device during the function identification process. If the first device deploys a model for positioning and / or a function for positioning, the first device can 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.

[0552] In some embodiments, the node-related information is carried by model-identified metadata, 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.

[0553] In this embodiment, the first device can send metadata to the second device during the model recognition process, and the metadata carries the node-related information; the first device can also send its own capability information to the second device, and the capability information carries the node-related information; the first device can 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 the configuration information carries the node-related information.

[0554] As an optional embodiment, the method further includes:

[0555] Determining a node screening criterion, wherein the node screening criterion is used to determine the node corresponding to the node related information;

[0556] The node screening criteria include at least one of the following:

[0557] Parameters used to filter nodes; for example: RSRP, RSRQ, SINR, etc.

[0558] Thresholds for screening node parameters; for example, the maximum (minimum) threshold corresponding to RSRP, the maximum (minimum) threshold corresponding to RSRQ, the maximum (minimum) threshold corresponding to SINR, etc.;

[0559] Conditions used to filter nodes. For example: RSRP must be greater than a first value; RSRQ must be greater than a second value; SINR must be greater than a third value.

[0560] In some embodiments, the method further comprises sending the node screening criteria to the first device.

[0561] In this embodiment, the node screening criteria may be determined by the first device, or determined by the second device and sent to the first device. The node screening criteria may be used by the first device to determine the nodes involved in the node-related information. For example, the first device determines the desired node information based on the node screening criteria.

[0562] As an optional embodiment, before receiving the node-related information sent by the first device, the method further includes:

[0563] 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 information content of the node-related information.

[0564] For example, the second device may send an instruction 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 the instruction.

[0565] In some embodiments, the second device may also receive other information sent by the first device, such as a cell identifier, a sub-cell identifier, a sub-area identifier, etc.

[0566] In an embodiment of the present disclosure, the second device receives node-related information related to the input of the positioning model and / or function sent by the first device, and performs positioning-related operations based on the node-related information to avoid resource waste.

[0567] The above embodiments introduce the information transmission method disclosed in the present invention. The following embodiments will further illustrate the corresponding device with reference to the accompanying drawings.

[0568] As shown in FIG4 , an embodiment of the present disclosure provides an information transmission apparatus 400 , which is applied to a first device and includes:

[0569] A first sending unit 410 is 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;

[0570] The node-related information includes at least one of the following:

[0571] Number of nodes;

[0572] Node identification information;

[0573] The measurement result of the reference signal corresponding to the node;

[0574] The first device may also include information about the node that the first device desires.

[0575] In some embodiments, the first device is a terminal or a base station, and the second device is a LMF;

[0576] or,

[0577] The first device is an LMF, and the second device is a terminal or a base station.

[0578] In some embodiments, the node quantity information includes at least one of the following:

[0579] The number of node combinations;

[0580] The number of nodes contained in each node combination;

[0581] The maximum number of nodes each node combination contains;

[0582] The minimum number of nodes that each node combination must contain.

[0583] In some embodiments, the identification information of the node includes at least one of the following:

[0584] The identity of each node;

[0585] The identities of the nodes contained in each node combination;

[0586] The identity of each node combination;

[0587] The sorting mode corresponding to the node identifier.

[0588] In some embodiments, the information of the node desired by the first device includes at least one of the following:

[0589] a node combination desired by the first device;

[0590] the number of node combinations desired by the first device;

[0591] The maximum number of node combinations desired by the first device;

[0592] a minimum number of node combinations desired by the first device;

[0593] a priority of the node combination desired by the first device;

[0594] a node desired by the first device;

[0595] the number of nodes desired by the first device;

[0596] the maximum number of nodes desired by the first device;

[0597] the minimum number of nodes desired by the first device;

[0598] the priority of the node desired by the first device;

[0599] The number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0600] The maximum number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0601] The first device expects the second device to send a minimum number of nodes corresponding to the reporting amount.

[0602] In some embodiments, the measurement results include:

[0603] A measurement result obtained by the first device measuring a downlink DL positioning reference signal PRS sent by the node;

[0604] and / or,

[0605] The node measures an uplink UL sounding reference signal SRS sent by the terminal and obtains a measurement result.

[0606] In some embodiments, the node-related information includes at least one of the following functions:

[0607] used by the second device to determine a node that sends a reference signal;

[0608] used by the second device to determine a node for receiving a reference signal;

[0609] used by the second device to determine the reporting amount to be sent to the first device;

[0610] The second device determines input information for a model and / or function for positioning.

[0611] In some embodiments, the node-related information includes at least one of the following functions:

[0612] When the first device is a terminal and the second device is a LMF, the node related information is used by the LMF to determine a node that sends a DL-PRS;

[0613] In a case where the first device is a base station and the second device is a LMF, the node related information is used by the LMF to determine a node for receiving a UL-SRS;

[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 a reporting amount that needs to be sent to the LMF, and the reporting amount is used to determine input information of a model and / or function for positioning;

[0615] In a case where the first device is a 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 of a model and / or function for positioning.

[0616] In some embodiments, the first sending unit is specifically configured to perform at least one of the following:

[0617] During the model recognition process, sending the node related information to the second device;

[0618] During the function identification process, sending the node related information to the second device;

[0619] During the data collection process, the node related information is sent to the second device.

[0620] In some embodiments, the node-related information is carried by metadata identified by the model, 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.

[0621] In some embodiments, the apparatus further comprises:

[0622] A first determining unit is configured to determine a node screening criterion, wherein the node screening criterion is used to determine a node corresponding to the node related information;

[0623] The node screening criteria include at least one of the following:

[0624] Parameters used to filter nodes;

[0625] The threshold for filtering node parameters;

[0626] The condition used to filter nodes.

[0627] In some embodiments, the first determining unit is specifically configured to:

[0628] The node screening criteria sent by the second device is received.

[0629] In some embodiments, the apparatus further comprises:

[0630] The second receiving unit is configured to 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 information content of the node-related information.

[0631] In some embodiments, the node is a transmission reception point TRP.

[0632] It should be noted here that the above-mentioned device provided in the embodiment of the present disclosure can implement all the method steps implemented in the above-mentioned method embodiment applied to the first device, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0633] As shown in FIG5 , an embodiment of the present disclosure provides an information transmission apparatus 500, which is applied to a second device and includes:

[0634] A first receiving unit 510 is configured to receive node-related information sent by a first device, where the node is a network node related to input information of a model and / or function for positioning;

[0635] A processing unit 520 is configured to perform positioning-related operations according to the node-related information;

[0636] The node-related information includes at least one of the following:

[0637] Number of nodes;

[0638] Node identification information;

[0639] The measurement result of the reference signal corresponding to the node;

[0640] The first device may also include information about the node that the first device desires.

[0641] In some embodiments, the first device is a terminal or a base station, and the second device is a LMF;

[0642] or,

[0643] The first device is an LMF, and the second device is a terminal or a base station.

[0644] In some embodiments, the node quantity information includes at least one of the following:

[0645] The number of node combinations;

[0646] The number of nodes contained in each node combination;

[0647] The maximum number of nodes each node combination contains;

[0648] The minimum number of nodes that each node combination must contain.

[0649] In some embodiments, the identification information of the node includes at least one of the following:

[0650] The identity of each node;

[0651] The identities of the nodes contained in each node combination;

[0652] The identity of each node combination;

[0653] The sorting mode corresponding to the node identifier.

[0654] In some embodiments, the information of the node desired by the first device includes at least one of the following:

[0655] a node combination desired by the first device;

[0656] the number of node combinations desired by the first device;

[0657] The maximum number of node combinations desired by the first device;

[0658] a minimum number of node combinations desired by the first device;

[0659] a priority of the node combination desired by the first device;

[0660] a node desired by the first device;

[0661] the number of nodes desired by the first device;

[0662] the maximum number of nodes desired by the first device;

[0663] the minimum number of nodes desired by the first device;

[0664] the priority of the node desired by the first device;

[0665] The number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0666] The maximum number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0667] The first device expects the second device to send a minimum number of nodes corresponding to the reporting amount.

[0668] In some embodiments, the measurement results include:

[0669] A measurement result obtained by the first device measuring the DL-PRS sent by the node;

[0670] and / or,

[0671] The node measures the UL-SRS sent by the terminal and obtains a measurement result.

[0672] In some embodiments, the processing unit is specifically configured to perform at least one of the following:

[0673] Determining a node that sends a reference signal according to the node related information;

[0674] Determining a node for receiving a reference signal according to the node related information;

[0675] determining a reporting amount to be sent to the first device according to the node-related information;

[0676] The input information of the model and / or function used for positioning is determined according to the node related information.

[0677] In some embodiments, the processing unit is specifically configured to perform at least one of the following:

[0678] 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;

[0679] When the first device is a base station and the second device is a LMF, the LMF determines a node for receiving the UL-SRS according to the node related information;

[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, based on the node-related information, a reporting amount that needs to be sent to the LMF, where the reporting amount is used to determine input information of a model or function for positioning;

[0681] In a case where 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 of a model and / or function for positioning according to the node-related information.

[0682] In some embodiments, the first receiving unit is specifically configured to perform at least one of the following:

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

[0684] receiving node-related information sent by the first device during a function identification process;

[0685] Receive node-related information sent by the first device during the data collection process.

[0686] In some embodiments, the node-related information is carried by metadata identified by the model, 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.

[0687] In some embodiments, the apparatus further comprises:

[0688] A second determining unit is configured to determine a node screening criterion, wherein the node screening criterion is used to determine the node corresponding to the node related information;

[0689] The node screening criteria include at least one of the following:

[0690] Parameters used to filter nodes;

[0691] The threshold for filtering node parameters;

[0692] The condition used to filter nodes.

[0693] In some embodiments, the apparatus further comprises:

[0694] The second sending unit is configured to send the node screening criterion to the first device.

[0695] In some embodiments, the apparatus further comprises:

[0696] 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 information content of the node-related information.

[0697] In some embodiments, the node is a TRP.

[0698] It should be noted here that the above-mentioned device provided in the embodiment of the present disclosure can implement all the method steps implemented in the above-mentioned method embodiment applied to the second device, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0699] It should be noted that the division of units in the embodiments of the present disclosure is schematic and is merely a logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional units in the various embodiments of the present disclosure may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0700] If 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 the present disclosure is essentially or the part that contributes to the relevant technology or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling 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 method described in each embodiment of the present disclosure. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0701] As shown in FIG6 , an embodiment of the present disclosure further provides a communication device, which is a first device and includes: a memory 620, a transceiver 600, and a processor 610; wherein the memory 620 is used to store a computer program; the transceiver 600 is used to receive and send data under the control of the processor 610; and the processor 610 is used to read the computer program in the memory and perform the following operations:

[0702] Sending node related information to the second device, where the node is a network node related to input information of a model and / or function for positioning;

[0703] The node-related information includes at least one of the following:

[0704] Number of nodes;

[0705] Node identification information;

[0706] The measurement result of the reference signal corresponding to the node;

[0707] The first device may also include information about the node that the first device desires.

[0708] In some embodiments, the first device is a terminal or a base station, and the second device is a LMF;

[0709] or,

[0710] The first device is an LMF, and the second device is a terminal or a base station.

[0711] In some embodiments, the node quantity information includes at least one of the following:

[0712] The number of node combinations;

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

[0714] The maximum number of nodes each node combination contains;

[0715] The minimum number of nodes that each node combination must contain.

[0716] In some embodiments, the identification information of the node includes at least one of the following:

[0717] The identity of each node;

[0718] The identities of the nodes contained in each node combination;

[0719] The identity of each node combination;

[0720] The sorting mode corresponding to the node identifier.

[0721] In some embodiments, the information of the node desired by the first device includes at least one of the following:

[0722] a node combination desired by the first device;

[0723] the number of node combinations desired by the first device;

[0724] The maximum number of node combinations desired by the first device;

[0725] a minimum number of node combinations desired by the first device;

[0726] a priority of the node combination desired by the first device;

[0727] a node desired by the first device;

[0728] the number of nodes desired by the first device;

[0729] the maximum number of nodes desired by the first device;

[0730] the minimum number of nodes desired by the first device;

[0731] the priority of the node desired by the first device;

[0732] The number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0733] The maximum number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0734] The first device expects the second device to send a minimum number of nodes corresponding to the reporting amount.

[0735] In some embodiments, the measurement results include:

[0736] A measurement result obtained by the first device measuring a downlink DL positioning reference signal PRS sent by the node;

[0737] and / or,

[0738] The node measures an uplink UL sounding reference signal SRS sent by the terminal and obtains a measurement result.

[0739] In some embodiments, the node-related information includes at least one of the following functions:

[0740] used by the second device to determine a node that sends a reference signal;

[0741] used by the second device to determine a node for receiving a reference signal;

[0742] used by the second device to determine the reporting amount to be sent to the first device;

[0743] The second device determines input information for a model and / or function for positioning.

[0744] In some embodiments, the node-related information includes at least one of the following functions:

[0745] When the first device is a terminal and the second device is a LMF, the node related information is used by the LMF to determine a node that sends a DL-PRS;

[0746] In a case where the first device is a base station and the second device is a LMF, the node related information is used by the LMF to determine a node for receiving a UL-SRS;

[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 a reporting amount that needs to be sent to the LMF, and the reporting amount is used to determine input information of a model and / or function for positioning;

[0748] In a case where the first device is a 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 of a model and / or function for positioning.

[0749] In some embodiments, the processor is configured to read the computer program in the memory and perform at least one of the following operations:

[0750] During the model recognition process, sending the node related information to the second device;

[0751] During the function identification process, sending the node related information to the second device;

[0752] During the data collection process, the node related information is sent to the second device.

[0753] In some embodiments, the node-related information is carried by metadata identified by the model, 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.

[0754] In some embodiments, the processor is configured to read the computer program in the memory and perform the following operations:

[0755] Determining a node screening criterion, wherein the node screening criterion is used to determine the node corresponding to the node related information;

[0756] The node screening criteria include at least one of the following:

[0757] Parameters used to filter nodes;

[0758] The threshold for filtering node parameters;

[0759] The condition used to filter nodes.

[0760] In some embodiments, the processor is configured to read the computer program in the memory and perform the following operations:

[0761] The node screening criteria sent by the second device is received.

[0762] In some embodiments, the processor is configured to read the computer program in the memory and perform the following operations:

[0763] 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 information content of the node-related information.

[0764] In some embodiments, the node is a transmission reception point TRP.

[0765] In FIG6 , the bus architecture may include any number of interconnected buses and bridges, specifically various circuits connected together by one or more processors represented by processor 610 and memory represented by memory 620. The bus architecture may also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface. The transceiver 600 may be a plurality of components, including a transmitter and a transceiver, providing a unit for communicating with various other devices on a transmission medium. For different user devices, the user interface 630 may also be an interface capable of connecting external or internal devices as required, and the connected devices include but are not limited to a keypad, a display, a speaker, a microphone, a joystick, and the like.

[0766] The processor 610 is responsible for managing the bus architecture and general processing, and the memory 620 can store data used by the processor 610 when performing operations.

[0767] In some embodiments, 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). The processor may also adopt a multi-core architecture.

[0768] The processor calls the computer program stored in the memory to execute any of the methods provided by the embodiments of the present disclosure according to the obtained executable instructions. The processor and the memory can also be arranged physically separately.

[0769] It should be noted here that the above-mentioned device provided in the embodiment of the present disclosure can implement all the method steps implemented in the above-mentioned method embodiment applied to the first device, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0770] As shown in FIG7 , an embodiment of the present disclosure further provides a communication device, which is a second device and includes: 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; and the processor 710 is used to read the computer program in the memory and perform the following operations:

[0771] receiving node-related information sent by a first device, where the node is a network node related to input information of a model and / or function for positioning;

[0772] Perform positioning-related operations based on the node-related information;

[0773] The node-related information includes at least one of the following:

[0774] Number of nodes;

[0775] Node identification information;

[0776] The measurement result of the reference signal corresponding to the node;

[0777] The first device may also include information about the node that the first device desires.

[0778] In some embodiments, the first device is a terminal or a base station, and the second device is a LMF;

[0779] or,

[0780] The first device is an LMF, and the second device is a terminal or a base station.

[0781] In some embodiments, the node quantity information includes at least one of the following:

[0782] The number of node combinations;

[0783] The number of nodes contained in each node combination;

[0784] The maximum number of nodes each node combination contains;

[0785] The minimum number of nodes that each node combination must contain.

[0786] In some embodiments, the identification information of the node includes at least one of the following:

[0787] The identity of each node;

[0788] The identities of the nodes contained in each node combination;

[0789] The identity of each node combination;

[0790] The sorting mode corresponding to the node identifier.

[0791] In some embodiments, the information of the node desired by the first device includes at least one of the following:

[0792] a node combination desired by the first device;

[0793] the number of node combinations desired by the first device;

[0794] The maximum number of node combinations desired by the first device;

[0795] a minimum number of node combinations desired by the first device;

[0796] a priority of the node combination desired by the first device;

[0797] a node desired by the first device;

[0798] the number of nodes desired by the first device;

[0799] the maximum number of nodes desired by the first device;

[0800] the minimum number of nodes desired by the first device;

[0801] the priority of the node desired by the first device;

[0802] The number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0803] The maximum number of nodes corresponding to the amount of reports that the first device expects the second device to send;

[0804] The first device expects the second device to send a minimum number of nodes corresponding to the reporting amount.

[0805] In some embodiments, the measurement results include:

[0806] A measurement result obtained by the first device measuring the DL-PRS sent by the node;

[0807] and / or,

[0808] The node measures the UL-SRS sent by the terminal and obtains a measurement result.

[0809] In some embodiments, the processor is configured to read the computer program in the memory and perform at least one of the following operations:

[0810] Determining a node that sends a reference signal according to the node related information;

[0811] Determining a node for receiving a reference signal according to the node related information;

[0812] determining a reporting amount to be sent to the first device according to the node-related information;

[0813] The input information of the model and / or function used for positioning is determined according to the node related information.

[0814] In some embodiments, the processor is configured to read the computer program in the memory and perform at least one of the following operations:

[0815] 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;

[0816] When the first device is a base station and the second device is a LMF, the LMF determines a node for receiving the UL-SRS according to the node related information;

[0817] 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, based on the node-related information, a reporting amount that needs to be sent to the LMF, where the reporting amount is used to determine input information of a model or function for positioning;

[0818] In a case where 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 of a model and / or function for positioning according to the node-related information.

[0819] In some embodiments, the processor is configured to read the computer program in the memory and perform at least one of the following operations:

[0820] receiving node-related information sent by the first device during the model recognition process;

[0821] receiving node-related information sent by the first device during a function identification process;

[0822] Receive node-related information sent by the first device during the data collection process.

[0823] In some embodiments, the node-related information is carried by metadata identified by the model, 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.

[0824] In some embodiments, the processor is configured to read the computer program in the memory and perform the following operations:

[0825] Determining a node screening criterion, wherein the node screening criterion is used to determine the node corresponding to the node related information;

[0826] The node screening criteria include at least one of the following:

[0827] Parameters used to filter nodes;

[0828] The threshold for filtering node parameters;

[0829] The condition used to filter nodes.

[0830] In some embodiments, the processor is configured to read the computer program in the memory and perform the following operations:

[0831] The node screening criteria is sent to the first device.

[0832] In some embodiments, the processor is configured to read the computer program in the memory and perform the following operations:

[0833] 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 information content of the node-related information.

[0834] In some embodiments, the node is a TRP.

[0835] In FIG7 , the bus architecture may include any number of interconnected buses and bridges, specifically linking together various circuits of one or more processors represented by processor 710 and memory represented by memory 720. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, and power management circuits, all of which are well known in the art and, therefore, will not be further described herein. The bus interface provides an interface. The transceiver 700 may be a plurality of components, namely, a transmitter and a transceiver, providing a unit for communicating with various other devices over a 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.

[0836] The processor 710 may be a CPU, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or a complex programmable logic device (CPLD). The processor may also adopt a multi-core architecture.

[0837] It should be noted here that the above-mentioned device provided in the embodiment of the present disclosure can implement all the method steps implemented in the above-mentioned method embodiment applied to the second device, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0838] In addition, a specific embodiment of the present disclosure further provides a processor-readable storage medium having a computer program stored thereon, wherein when the program is executed by the processor, the steps of the above-mentioned information transmission method are implemented and the same technical effect is achieved. To avoid repetition, it is not repeated here. The readable storage medium can be any available medium or data storage device that can be accessed by the processor, including but not limited to magnetic storage (such as a floppy disk, a hard disk, a magnetic tape, a magneto-optical disk (MO), etc.), optical storage (such as a compact disc (CD), a digital video disc (DVD), a Blu-ray disc (BD), a high-definition versatile disc (HVD), etc.), and semiconductor storage (such as ROM, erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), non-volatile memory (NAND (Non-volatile Memory Device) FLASH), solid-state drives (SSD)), etc.

[0839] An embodiment of the present disclosure provides a computer program product, including computer instructions, which implement the steps of the above-mentioned information transmission method when executed by a processor.

[0840] It should be noted that the technical solutions provided by the embodiments of the present disclosure can be applicable to a variety of systems, especially the fifth generation mobile communication technology (5th-Generation, 5G) system. For example, applicable systems may be global system of mobile communication (GSM) system, code division multiple access (CDMA) system, wideband code division multiple access (WCDMA) general packet radio service (GPRS) system, long term evolution (LTE) system, LTE frequency division duplex (FDD) system, LTE time division duplex (TDD) system, advanced long term evolution (LTE-A) system, universal mobile telecommunication system (UMTS), worldwide interoperability for microwave access (WiMAX) system, 5G new air interface (NR) system, etc. These various systems include terminal devices and network devices. The system may also include core network parts, such as the Evolved Packet System (EPS), 5G System (5GS), etc.

[0841] The terminal device involved in the embodiments of the present disclosure may be a device that provides voice and / or data connectivity to a user, a handheld device with wireless connection function, or other processing device connected to a wireless modem. In different systems, the name of the terminal device may also be different. For example, in a 5G system, the terminal device may be called User Equipment (UE). A wireless terminal device can communicate with one or more core networks (CN) via a radio access network (RAN). The wireless terminal device may be a mobile terminal device, such as a mobile phone (or "cellular" phone) and a computer with a mobile terminal device. For example, it may be a portable, pocket-sized, handheld, computer-built-in or vehicle-mounted mobile device that exchanges voice and / or data with a radio access network. For example, Personal Communication Service (PCS) phones, cordless phones, Session Initiated Protocol (SIP) phones, Wireless Local Loop (WLL) stations, Personal Digital Assistants (PDAs), and other devices. The wireless terminal device may also be referred to as a system, a subscriber unit, a subscriber station, a mobile station, a mobile station, a remote station, an access point, a remote terminal device, an access terminal device, a user terminal device, a user agent, or a user device, but is not limited in the embodiments of the present disclosure.

[0842] The network device involved in the embodiments of the present disclosure may be a base station, which may include multiple cells providing services to terminals. Depending on the specific application scenario, the base station may also be called an access point, or may be a device in an access network that communicates with a wireless terminal device through one or more sectors on an air interface, or may be called another name. The network device may be used to interchange received air frames with Internet Protocol (IP) packets, acting as a router between the wireless terminal device and the rest of the access network, wherein the rest of the access network may include an Internet Protocol (IP) communication network. The network device may also coordinate the attribute management of the air interface. For example, the network device involved in the embodiments of the present disclosure may be a base transceiver station (BTS) in the Global System for Mobile communications (GSM) or code division multiple access (CDMA), a network device (NodeB) in wide-band code division multiple access (WCDMA), an evolutionary Node B (eNB or e-NodeB) in the long term evolution (LTE) system, a 5G base station (gNB) in the 5G network architecture (next generation system), a home evolved Node B (HeNB), a relay node, a femto, a pico, etc., and is not limited in the embodiments of the present disclosure. In some network structures, the network device may include a centralized unit (CU) node and a distributed unit (DU) node, and the centralized unit and the distributed unit may also be geographically separated.

[0843] Network devices and terminal devices can each use one or more antennas for Multiple Input Multiple Output (MIMO) transmission. MIMO transmission can be single-user MIMO (SU-MIMO) or multi-user MIMO (MU-MIMO). Depending on the form and number of antenna combinations, MIMO transmission can be two-dimensional MIMO (2D-MIMO), three-dimensional MIMO (3D-MIMO), full-dimensional MIMO (FD-MIMO), or massive MIMO. It can also use diversity transmission, precoded transmission, or beamforming transmission.

[0844] Those skilled in the art will appreciate that the embodiments of the present disclosure may be provided as methods, systems, or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage and optical storage, etc.) containing computer-usable program code.

[0845] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present disclosure. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer-executable instructions. These computer-executable instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the functions specified in one process or multiple processes in the flowchart and / or one box or multiple boxes in the block diagram.

[0846] These processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the processor-readable memory produce a product including an instruction device that implements the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0847] These processor-executable instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby 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 boxes in the block diagram.

[0848] In addition, it should be noted that, in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. Moreover, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it will be understood that all or any steps or components of the method and apparatus of the present invention can be implemented in any computing device (including processors, storage media, etc.) or a network of computing devices in hardware, firmware, software or a combination thereof, which can be achieved by those of ordinary skill in the art using their basic programming skills after reading the description of the present invention.

[0849] It should be noted that it should be understood that the division of the above modules is merely a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. Moreover, these modules can all be implemented in the form of software called by a processing element; or they can all be implemented in the form of hardware; or some modules can be implemented in the form of software called by a processing element, and some modules can be implemented in the form of hardware. For example, a module can be a separately established processing element, or it can be integrated into a chip of the above-mentioned device. In addition, it can also be stored in the memory of the above-mentioned device in the form of program code, and called by a processing element of the above-mentioned device to perform the functions of the above-mentioned module. The implementation of other modules is similar. In addition, these modules can all or partly be integrated together, or they can be implemented independently. The processing element described here can be an integrated circuit with signal processing capabilities. During implementation, each step of the above method or each module above can be completed by an integrated logic circuit of hardware in the processor element or instructions in the form of software.

[0850] For example, each module, unit, sub-unit or sub-module can be one or more integrated circuits configured to implement the above method, such as one or more application-specific integrated circuits (ASICs), one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs). For another example, when a module is implemented by scheduling program code through a processing element, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call program code. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0851] The terms "first," "second," and the like in the specification and claims of the present disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of the present disclosure described herein may be implemented in a sequence other than that illustrated or described herein. In addition, the terms "including" and "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units need not be limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to these processes, methods, products, or devices. In addition, the use of "and / or" in the specification and claims to indicate at least one of the connected objects, for example, A and / or B and / or C, means that seven situations are included: A alone, B alone, C alone, both A and B present, both B and C present, both A and C present, and all A, B, and C present. Similarly, the use of "at least one of A and B" in the specification and claims should be understood to mean "A alone, B alone, or both A and B present."

[0852] Obviously, those skilled in the art may make various changes and modifications to the present disclosure without departing from the spirit and scope of the present disclosure. Thus, if these modifications and variations of the present disclosure fall within the scope of the claims of the present disclosure and their equivalents, the present disclosure is intended to include these modifications and variations.

Claims

1. An information transmission method, comprising: The first device sends node related information to the second device, where the node is a network node related to input information of a model and / or function for positioning; The node-related information includes at least one of the following: Number of nodes; Node identification information; The measurement result of the reference signal corresponding to the node; The first device may also include information about the node that the first device desires.

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, wherein The node quantity information includes at least one of the following: The number of node combinations; The number of nodes contained in each node combination; The maximum number of nodes each node combination contains; The minimum number of nodes that each node combination must contain.

4. The method according to claim 1, wherein The node identification information includes at least one of the following: The identity of each node; The identities of the nodes contained in each node combination; The identity of each node combination; The sorting mode corresponding to the node identifier.

5. The method according to claim 1, wherein The information of the node desired by the first device includes at least one of the following: a node combination desired by the first device; the number of node combinations desired by the first device; The maximum number of node combinations desired by the first device; a minimum number of node combinations desired by the first device; a priority of the node combination desired by the first device; a node desired by the first device; the number of nodes desired by the first device; the maximum number of nodes desired by the first device; the minimum number of nodes desired by the first device; the priority of the node desired by the first device; The number of nodes corresponding to the amount of reports that the first device expects the second device to send; The maximum number of nodes corresponding to the amount of reports that the first device expects the second device to send; The first device expects the second device to send a minimum number of nodes corresponding to the reporting amount.

6. The method according to claim 1, wherein The measurement results include: A measurement result obtained by the first device measuring a downlink DL positioning reference signal PRS sent by the node; and / or, The node measures an uplink UL sounding reference signal SRS sent by the terminal and obtains a measurement result.

7. The method according to claim 1, wherein The node related information includes at least one of the following functions: used by the second device to determine a node that sends a reference signal; used by the second device to determine a node for receiving a reference signal; used by the second device to determine the reporting amount to be sent to the first device; The second device determines input information for a model and / or function for positioning.

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

9. The method according to claim 1, wherein The sending of the node-related information to the second device includes at least one of the following: During the model recognition 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, the node related information is sent to the second device.

10. The method according to claim 1, wherein The node related information is carried by metadata of model identification, 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.

11. The method according to claim 1 , further comprising: Determining a node screening criterion, wherein the node screening criterion is used to determine the node corresponding to the node related information; The node screening criteria include at least one of the following: Parameters used to filter nodes; The threshold for filtering node parameters; The condition used to filter nodes.

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

13. The method according to claim 1, wherein Before sending the node related information to the second device, the method further includes: 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 information content of the node-related information.

14. The method according to any one of claims 1 to 13, wherein: The node is a transmission reception point TRP.

15. An information transmission method, comprising: The second device receives 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; Perform positioning-related operations based on the node-related information; The node-related information includes at least one of the following: Number of nodes; Node identification information; The measurement result of the reference signal corresponding to the node; The first device may also include information about the node that the first device desires.

16. The method according to claim 15, wherein The first device is a terminal or a base station, and the second device is a 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, wherein: The node quantity information includes at least one of the following: The number of node combinations; The number of nodes contained in each node combination; The maximum number of nodes each node combination contains; The minimum number of nodes that each node combination must contain.

18. The method according to claim 15, wherein The node identification information includes at least one of the following: The identity of each node; The identities of the nodes contained in each node combination; The identity of each node combination; The sorting mode corresponding to the node identifier.

19. The method according to claim 15, wherein The information of the node desired by the first device includes at least one of the following: a node combination desired by the first device; the number of node combinations desired by the first device; The maximum number of node combinations desired by the first device; a minimum number of node combinations desired by the first device; a priority of the node combination desired by the first device; a node desired by the first device; the number of nodes desired by the first device; the maximum number of nodes desired by the first device; the minimum number of nodes desired by the first device; the priority of the node desired by the first device; The number of nodes corresponding to the amount of reports that the first device expects the second device to send; The maximum number of nodes corresponding to the amount of reports that the first device expects the second device to send; The first device expects the second device to send a minimum number of nodes corresponding to the reporting amount.

20. The method according to claim 15, wherein The measurement results include: A measurement result obtained by the first device measuring the DL-PRS sent by the node; and / or, The node measures the UL-SRS sent by the terminal and obtains a measurement result.

21. The method according to claim 15, wherein The performing of positioning-related operations according to the node-related information includes at least one of the following: Determining a node that sends a reference signal according to the node related information; Determining a node for receiving a reference signal according to the node related information; determining a reporting amount to be sent to the first device according to the node-related information; The input information of the model and / or function used for positioning is determined according to the node related information.

22. The method according to claim 15 or 21, wherein The performing of positioning-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 a LMF, the LMF determines a node for receiving 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, based on the node-related information, a reporting amount that needs to be sent to the LMF, where the reporting amount is used to determine input information of a model or function for positioning; In a case where 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 of a model and / or function for positioning according to the node-related information.

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

25. The method according to claim 15, further comprising: Determining a node screening criterion, wherein the node screening criterion is used to determine the node corresponding to the node related information; The node screening criteria include at least one of the following: Parameters used to filter nodes; The threshold for filtering node parameters; The condition used to filter nodes.

26. The method according to claim 25, further comprising: The node screening criteria is sent 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 instruct the first device to report the node-related information; and / or, the indication information is used to indicate information content of the node-related information.

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

29. A communication device, the communication device being a first device, comprising: Memory, transceiver, processor: Memory for storing computer programs; a transceiver for receiving and transmitting data under the control of the processor; A processor is configured to read the computer program in the memory and perform the following operations: Sending node related information to the second device, where the node is a network node related to input information of a model and / or function for positioning; The node-related information includes at least one of the following: Number of nodes; Node identification information; The measurement result of the reference signal corresponding to the node; The first device may also include information about the node that the first device desires.

30. The apparatus of claim 29, wherein: The first device is a terminal or a base station, and the second device is a LMF; or, The first device is an LMF, and the second device is a terminal or a base station.

31. The apparatus of claim 29, wherein The node quantity information includes at least one of the following: The number of node combinations; The number of nodes contained in each node combination; The maximum number of nodes each node combination contains; The minimum number of nodes that each node combination must contain.

32. The apparatus of claim 29, wherein: The node identification information includes at least one of the following: The identity of each node; The identities of the nodes contained in each node combination; The identity of each node combination; The sorting mode corresponding to the node identifier.

33. The apparatus of claim 29, wherein: The information of the node desired by the first device includes at least one of the following: a node combination desired by the first device; the number of node combinations desired by the first device; The maximum number of node combinations desired by the first device; a minimum number of node combinations desired by the first device; a priority of the node combination desired by the first device; a node desired by the first device; the number of nodes desired by the first device; the maximum number of nodes desired by the first device; the minimum number of nodes desired by the first device; the priority of the node desired by the first device; The number of nodes corresponding to the amount of reports that the first device expects the second device to send; The maximum number of nodes corresponding to the amount of reports that the first device expects the second device to send; The first device expects the second device to send a minimum number of nodes corresponding to the reporting amount.

34. The apparatus of claim 29, wherein: The measurement results include: A measurement result obtained by the first device measuring a downlink DL positioning reference signal PRS sent by the node; and / or, The node measures an uplink UL sounding reference signal SRS sent by the terminal and obtains a measurement result.

35. The apparatus of claim 29, wherein The node related information includes at least one of the following functions: used by the second device to determine a node that sends a reference signal; used by the second device to determine a node for receiving a reference signal; used by the second device to determine the reporting amount to be sent to the first device; The second device determines input information for a model and / or function for positioning.

36. The apparatus of claim 29, wherein The node related information includes at least one of the following functions: When the first device is a terminal and the second device is a LMF, the node related information is used by the LMF to determine a node that sends a DL-PRS; In a case where the first device is a base station and the second device is a LMF, the node related information is used by the LMF to determine a node for receiving a 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 a reporting amount that needs to be sent to the LMF, and the reporting amount is used to determine input information of a model and / or function for positioning; In a case where the first device is a 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 of a model and / or function for positioning.

37. The apparatus of claim 29, wherein the processor is configured to read the computer program in the memory and perform at least one of the following operations: During the model recognition 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, the node related information is sent to the second device.

38. The apparatus of claim 29, wherein: The node related information is carried by metadata of model identification, 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.

39. The apparatus of claim 29, wherein the processor is configured to read the computer program in the memory and perform the following operations: Determining a node screening criterion, wherein the node screening criterion is used to determine the node corresponding to the node related information; in, The node screening criteria include at least one of the following: Parameters used to filter nodes; The threshold for filtering node parameters; The condition used to filter nodes.

40. The apparatus of claim 39, wherein The processor is configured to read the computer program in the memory and perform the following operations: The node screening criteria sent by the second device is received.

41. The apparatus of claim 29, wherein the processor is configured to read the computer program in the memory and perform the following operations: 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 information content of the node-related information.

42. Apparatus according to any one of claims 29 to 41, wherein The node is a transmission reception point TRP.

43. A communication device, the communication device being a second device, comprising: Memory, transceiver, processor: memory for storing computer programs; a transceiver for receiving and transmitting data under the control of the processor; A processor is configured to read the computer program in the memory and perform the following operations: receiving node-related information sent by a first device, where the node is a network node related to input information of a model and / or function for positioning; Perform positioning-related operations based on the node-related information; The node-related information includes at least one of the following: Number of nodes; Node identification information; The measurement result of the reference signal corresponding to the node; The first device may also include information about the node that the first device desires.

44. The apparatus of claim 43, wherein The first device is a terminal or a base station, and the second device is a LMF; or, The first device is an LMF, and the second device is a terminal or a base station.

45. The apparatus of claim 43, wherein The node quantity information includes at least one of the following: The number of node combinations; The number of nodes contained in each node combination; The maximum number of nodes each node combination contains; The minimum number of nodes that each node combination must contain.

46. The apparatus of claim 43, wherein The node identification information includes at least one of the following: The identity of each node; The identities of the nodes contained in each node combination; The identity of each node combination; The sorting mode corresponding to the node identifier.

47. The apparatus of claim 43, wherein: The information of the node desired by the first device includes at least one of the following: a node combination desired by the first device; the number of node combinations desired by the first device; The maximum number of node combinations desired by the first device; a minimum number of node combinations desired by the first device; a priority of the node combination desired by the first device; a node desired by the first device; the number of nodes desired by the first device; the maximum number of nodes desired by the first device; the minimum number of nodes desired by the first device; the priority of the node desired by the first device; The number of nodes corresponding to the amount of reports that the first device expects the second device to send; The maximum number of nodes corresponding to the amount of reports that the first device expects the second device to send; The first device expects the second device to send a minimum number of nodes corresponding to the reporting amount.

48. The apparatus of claim 43, wherein The measurement results include: A measurement result obtained by the first device measuring the DL-PRS sent by the node; and / or, The node measures the UL-SRS sent by the terminal and obtains a measurement result.

49. The apparatus of claim 43, wherein the processor is configured to read the computer program in the memory and perform at least one of the following operations: Determining a node that sends a reference signal according to the node related information; Determining a node for receiving a reference signal according to the node related information; determining a reporting amount to be sent to the first device according to the node-related information; The input information of the model and / or function used for positioning is determined according to the node related information.

50. The apparatus of claim 43 or 49, wherein the processor is configured to read the computer program in the memory and perform at least one of the following operations: 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 a LMF, the LMF determines a node for receiving 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, based on the node-related information, a reporting amount that needs to be sent to the LMF, where the reporting amount is used to determine input information of a model or function for positioning; In a case where 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 of a model and / or function for positioning according to the node-related information.

51. The apparatus of claim 43, wherein the processor is configured to read the computer program in the memory and perform at least one of the following operations: receiving node-related information sent by the first device during the model recognition process; receiving node-related information sent by the first device during a function identification process; Receive node-related information sent by the first device during the data collection process.

52. The apparatus of claim 43, wherein The node related information is carried by metadata of model identification, 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.

53. The apparatus of claim 43, wherein: The processor is configured to read the computer program in the memory and perform the following operations: Determining a node screening criterion, wherein the node screening criterion is used to determine the node corresponding to the node related information; The node screening criteria include at least one of the following: Parameters used to filter nodes; The threshold for filtering node parameters; The condition used to filter nodes.

54. The apparatus of claim 53, wherein the processor is configured to read the computer program in the memory and perform the following operations: The node screening criteria is sent to the first device.

55. The apparatus of claim 43, wherein the processor is configured to read the computer program in the memory and perform the following operations: 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 information content of the node-related information.

56. Apparatus according to any one of claims 43 to 55, wherein The node is a TRP.

57. An information transmission device, applied to a first device, comprising: A first sending unit is 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; The node-related information includes at least one of the following: Number of nodes; Node identification information; The measurement result of the reference signal corresponding to the node; The first device may also include information about the node that the first device desires.

58. An information transmission device, applied to a second device, comprising: a first receiving unit, configured to receive node-related information sent by a first device, where the node is a network node related to input information of a model and / or function for positioning; A processing unit, configured to perform positioning-related operations according to the node-related information; The node-related information includes at least one of the following: Number of nodes; Node identification information; The measurement result of the reference signal corresponding to the node; The first device may also include information about the node that the first device desires.

59. A processor-readable storage medium having a computer program stored thereon, which, when executed by a processor, 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.

60. A computer program product comprising computer instructions, which, when executed by a processor, implement the steps of the information transmission method according to any one of claims 1 to 14, or implement the steps of the information transmission method according to any one of claims 15 to 28.

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