CN117639974A

CN117639974A - Information processing method, device, node equipment and medium

Info

Publication number: CN117639974A
Application number: CN202210970511.0A
Authority: CN
Inventors: 苏俞婉; 费永强; 秦硕; 高秋彬
Original assignee: Datang Mobile Communications Equipment Co Ltd
Current assignee: Datang Mobile Communications Equipment Co Ltd
Priority date: 2022-08-12
Filing date: 2022-08-12
Publication date: 2024-03-01
Also published as: WO2024032764A1

Abstract

The application provides an information processing method, an information processing device, node equipment and a medium. The method comprises the following steps: determining channel related information; determining an input of a first portion of the first model based on the channel-related information; obtaining first information, the first information being determined from an output of a first portion of a first model and the first information being used to determine an input of a second portion of the first model; the data length of the first information is smaller than the data length of the channel related information; the first information is transmitted to the second node. The method is adopted, the first model for information processing is configured at different nodes, the first node determines the input of the first part of the first model through the channel related information to obtain the first information, the data length of the first information is smaller than the length of the channel related information and is used for being output to the second node for information processing, and compared with the method that the first node directly transmits the channel related information to the second node, the method can achieve the effect of reducing the cost.

Description

Information processing method, device, node equipment and medium

Technical Field

The present disclosure relates to the field of wireless technologies, and in particular, to an information processing method, an information processing device, a node device, and a medium.

Background

At this stage, whether academic research or 3gpp, the ability of artificial intelligence (Artificial Intelligence, AI)/Machine Learning (ML) in wireless communication systems is being explored. For example, in the aspect of being applied to an air interface physical layer, the AI model can achieve the effects of improving performance indexes such as throughput, precision, reliability and robustness, reducing resource overhead and the like.

The following several application examples are mainly identified in NR physical layer AI research: channel state information (Channel State Information, CSI) feedback, beam management, positioning, channel estimation, etc. In AI localization research, companies wish to improve localization accuracy in Non-Line of Sight (NLOS) scenes by AI models.

In general, when the AI model performs reasoning on the network side (e.g., the positioning management function (Location Management Function, LMF) side), the UE side is required to measure the downlink positioning reference signal (Downlink Positioning Reference Signal, DL-PRS) to obtain channel related information, report the channel related information to the LMF side, and the LMF side uses the channel related information and the AI model to obtain the location of the UE. And when the data volume of the channel related information fed back is large, the problem of high feedback overhead exists.

Disclosure of Invention

The invention aims to provide an information processing method, an information processing device, node equipment and a medium, which are used for solving the problem that in the positioning process of utilizing an AI model in the prior art, a large amount of channel related information needs to be reported to a network side, so that the cost is high.

An embodiment of the present application provides an information processing method, where the method is performed by a first node, and the method includes:

determining channel related information;

determining an input of a first portion of a first model based on the channel-related information;

obtaining first information, the first information being determined from an output of a first portion of the first model and the first information being used to determine an input of a second portion of the first model; wherein, the data length of the first information is smaller than the data length of the channel related information;

transmitting the first information to a second node.

Optionally, in the information processing method, the channel related information is measurement information obtained by the first node measuring a first reference signal.

Optionally, the information processing method, wherein the determining channel related information includes:

the first node measures a first reference signal to obtain measurement information;

Determining the input of a second model according to the measurement information;

determining the channel related information according to the second model;

wherein the data length of the channel related information is smaller than the data length of the measurement information.

Optionally, the information processing method, wherein the measurement information includes one or more of the following information:

channel impulse response, CIR;

channel frequency domain response CFR;

reference signal received power RSRP;

time of arrival AoA;

a departure time AoD;

reference signal received path power RSRPP.

Optionally, in the information processing method, the number of the first parts of the first model is at least two, and different first parts of the first model correspond to different signal transmission resources;

wherein determining the input of the first portion of the first model based on the channel-related information comprises:

determining input of a first part of the first model corresponding to the signal transmission resources according to the information related to each channel corresponding to different signal transmission resources;

wherein obtaining the first information, the first information determined from an output of a first portion of the first model, comprises:

And obtaining the first information corresponding to the signal transmission resources one by one respectively, wherein the first information is determined according to the output of the first part of the first model corresponding to the signal transmission resources.

Optionally, in the information processing method, the number of the first parts of the first model is one, and all signal transmission resources correspond to the same first part of the first model;

determining an input of a first portion of the first model according to each of the channel-related information corresponding to different signaling resources;

wherein obtaining the first information, the first information determining from the output of the first portion of the first model comprises:

and obtaining the first information which is respectively in one-to-one correspondence with a plurality of signal transmission resources, wherein the first information is determined according to the output of a first part of one first model.

Optionally, in the information processing method, the number of the first parts of the first model is at least two, and the first parts of different first models respectively correspond to different signal transmission resource sets, where one signal transmission resource set includes a plurality of signal transmission resources;

combining the channel related information corresponding to one signal transmission resource set, and determining the input of the first part of the first model corresponding to the signal transmission resource set according to the combined channel related information corresponding to the signal transmission resource set;

obtaining one piece of the first information corresponding to the combined channel related information of the signal transmission resource set, wherein the first information is determined according to the output of the first part of the first model corresponding to the signal transmission resource set.

Determining an input of a first part of the first model corresponding to one signal transmission resource set according to the channel related information corresponding to the signal transmission resource set;

wherein obtaining the first information includes:

the first information corresponding to at least one channel related information of the signal transmission resource set is obtained one by one, and the first information is determined according to the output of the first part of the first model corresponding to the signal transmission resource set.

combining the channel related information corresponding to different signal transmission resources, and determining the input of the first part of the first model according to the combined channel related information;

obtaining one piece of the first information corresponding to the combined channel related information, wherein the first information is determined according to the output of the first part of one piece of the first model.

Optionally, the information processing method, wherein the transmitting the first information to the second node includes:

transmitting the first information and identification information corresponding to the first information to the second node; the identification information corresponding to the first information comprises first identification information of a first part of the first model corresponding to the first information and/or second identification information of a signal transmission resource corresponding to the first information; or alternatively

And according to a preset ordering rule, sequentially transmitting the corresponding first information to the second node.

and respectively transmitting the first information respectively corresponding to each signal transmission resource set to a second node.

Optionally, the information processing method, wherein combining the channel related information corresponding to different signal transmission resources includes:

and combining the channel related information corresponding to different signal transmission resources according to a preset ordering rule.

Optionally, the information processing method, wherein combining the plurality of channel related information corresponding to one signal transmission resource set includes:

And combining a plurality of pieces of channel related information corresponding to the signal transmission resource sets according to a preset ordering rule for one signal transmission resource set.

Optionally, the information processing method, wherein in a case of obtaining the first information corresponding to each channel related information of one of the signal transmission resource sets, respectively, the first information corresponding to each signal transmission resource set is transmitted to a second node, respectively, including:

for the first information corresponding to one signaling resource set, transmitting the corresponding first information and identification information corresponding to the first information to the second node; wherein the identification information corresponding to the first information includes at least one of first identification information of a first portion of the first model corresponding to the first information, second identification information of a signal transmission resource corresponding to the first information, and third identification information of a signal transmission resource set corresponding to the first information; or alternatively

And for the first information corresponding to one signal transmission resource set, sequentially transmitting the corresponding first information to the second node according to a preset ordering rule.

Optionally, the information processing method, wherein the method further includes:

and when the first part of the first model configured by the third node is acquired, acquiring the first identification information and/or second identification information of signal transmission resources corresponding to the first part of the first model.

Optionally, in the information processing method, when acquiring the second identification information of the signaling resource corresponding to the first portion of the first model, in a case where the first portions of the different first models respectively correspond to different signaling resource sets, the method further includes:

third identification information of a set of signaling resources corresponding to a first portion of the first model is obtained.

Optionally, in the information processing method, the signaling resource is a signaling resource indicated by the third node to need to perform first information transmission, or is a signaling resource determined by the first node to need to perform first information transmission.

acquiring a first part of the first model;

the first part of the first model is one part of the split first model of the third node; the first model is determined by the third node according to measurement information reported by a positioning calibration point and position information of the positioning calibration point; or alternatively

The first part of the first model is a model determined by a fourth node according to measurement information reported by a positioning calibration point and/or position information of the positioning calibration point.

in acquiring the first portion of the first model, time-dependent parameters of the first portion of the first model are also acquired.

Optionally, the information processing method, wherein the time-related parameter of the first part of the first model includes one or more of the following information:

an effective start time of a first portion of the first model;

the effective length of time of the first portion of the first model;

a time to failure of a first portion of the first model;

training completion time of the first portion of the first model.

The embodiment of the application also provides an information processing method, wherein the information processing method is executed by a second node, and the method comprises the following steps:

receiving first information transmitted by a first node; after the first node determines the input of a first part of a first model according to the channel related information, determining according to the output of the first part of the first model, wherein the data length of the first information is smaller than that of the channel related information;

And determining the input of the second part of the first model according to the first information to obtain the position information of the terminal.

Optionally, in the information processing method, the channel related information is determined by the first node according to a second model, wherein input of the second model is determined according to measurement information obtained by measuring a first reference signal by the first node, and a data length of the channel related information is smaller than a data length of the measurement information.

channel impulse response, CIR;

channel frequency domain response CFR;

reference signal received power RSRP;

time of arrival AoA;

a departure time AoD;

reference signal received path power RSRPP.

Wherein receiving the first information transmitted by the first node includes:

receiving the first information which is transmitted by a first node and corresponds to a plurality of signal transmission resources one by one respectively; the first information is determined by a first node from an output of a first portion of the first model corresponding to the signaling resource.

wherein receiving the first information transmitted by the first node includes:

and receiving the first information which is transmitted by the first node and corresponds to a plurality of signal transmission resources one by one, wherein the first information is determined by the first node according to the output of a first part of one first model.

wherein receiving the first information transmitted by the first node includes:

And receiving one piece of first information corresponding to the combined channel related information of the signal transmission resource set, which is transmitted by a first node, wherein the first information is determined according to the output of a first part of the first model corresponding to the signal transmission resource set.

wherein receiving the first information transmitted by the first node includes:

and receiving the first information which is transmitted by the first node and corresponds to at least one channel related information of the signal transmission resource set one by one, wherein the first information is determined according to the output of the first part of the first model corresponding to the signal transmission resource set.

wherein receiving the first information transmitted by the first node includes:

And receiving one piece of first information corresponding to the combined channel related information transmitted by the first node, wherein the first information is determined according to the output of a first part of the first model.

Optionally, the information processing method, when receiving the first information transmitted by the first node, further includes:

receiving identification information corresponding to the first information, which is transmitted by the first node; the identification information corresponding to the first information comprises first identification information of a first part of the first model corresponding to the first information and/or second identification information of a signal transmission resource corresponding to the first information; or alternatively

And receiving the first information which is sequentially transmitted by the first node according to a preset ordering rule.

Optionally, the information processing method, wherein receiving the first information transmitted by the first node further includes:

and receiving the first information which is transmitted by the first node and corresponds to each signal transmission resource set respectively.

Optionally, the information processing method, wherein receiving the first information transmitted by the first node and corresponding to each signal transmission resource set respectively includes:

Receiving the first information corresponding to one signal transmission resource set and identification information corresponding to the first information, which are transmitted by the first node; wherein the identification information corresponding to the first information includes at least one of first identification information of a first portion of the first model corresponding to the first information, second identification information of a signal transmission resource corresponding to the first information, and third identification information of a signal transmission resource set corresponding to the first information; or alternatively

And receiving the first information which is sequentially transmitted by the first node according to a preset ordering rule and corresponds to one signal transmission resource set.

and receiving first identification information of a first part of the first model and/or second identification information of signal transmission resources corresponding to the first part of the first model, which are sent by a third node.

Optionally, in the information processing method, in a case that the first portions of the different first models respectively correspond to different signal transmission resource sets, the method further includes:

Third identification information of a signal transmission resource set corresponding to the first part of the first model, sent by a third node, is received.

Optionally, in the information processing method, the number of the second parts of the first model is at least two, and when the number of the first information is multiple, the second parts of each first model respectively correspond to the first information of one part;

wherein determining an input of a second portion of the first model from the first information comprises:

an input of a corresponding second portion of the first model is determined from the first information of a portion thereof.

acquiring a second portion of the first model;

the second part of the first model is one part of the first model after the third node splits the first model; the first model is determined by the third node according to measurement information reported by a positioning calibration point and position information of the positioning calibration point; or alternatively

The second part of the first model is a model determined by a third node according to second information output by a fourth node and position information of a positioning calibration point; the second information is determined by information output by a first part of a first model, and the first part of the first model is a model determined by the fourth node according to measurement information reported by a positioning calibration point and/or position information of the positioning calibration point.

The embodiment of the application further provides a node device, which is a first node, and includes a memory, a transceiver, and a processor:

a memory for storing a computer program; a transceiver for transceiving data under control of the processor; a processor for reading the computer program in the memory and performing the following operations:

determining channel related information;

transmitting the first information to a second node.

The embodiment of the application further provides a node device, which is a second node, and includes a memory, a transceiver, and a processor:

The embodiment of the application also provides an information processing device, which is applied to the first node, and comprises:

a first determining unit configured to determine channel-related information;

a second determining unit configured to determine an input of a first portion of the first model based on the channel-related information;

an information acquisition unit for obtaining first information, the first information being determined from an output of a first portion of the first model and the first information being used to determine an input of a second portion of the first model; wherein, the data length of the first information is smaller than the data length of the channel related information;

and the information transmission unit is used for transmitting the first information to the second node.

The embodiment of the application also provides an information processing device, which is applied to a second node, and the device comprises:

an information receiving unit, configured to receive first information transmitted by a first node; after the first node determines the input of a first part of a first model according to the channel related information, determining according to the output of the first part of the first model, wherein the data length of the first information is smaller than that of the channel related information;

and the processing unit is used for determining the input of the second part of the first model according to the first information and obtaining the position information of the terminal.

Embodiments of the present application also provide a processor-readable storage medium, where the processor-readable storage medium stores a computer program for causing the processor to execute the information processing method according to any one of the above.

The beneficial effects of the technical scheme of the application are as follows:

by adopting the information processing method, the first model for information processing is configured at different nodes, the first node determines the input of the first part of the first model through the channel related information, obtains the first information determined according to the output of the first part of the first model, and the data length of the first information is smaller than the data length of the channel related information and is used for being transmitted to the second node for information processing.

Drawings

Fig. 1 is a schematic flow chart of an information processing method according to an embodiment of the present application;

FIG. 2 is a schematic diagram of a process flow according to a first embodiment of an information processing method according to the present application;

FIG. 3 is a schematic diagram of a process flow for a second embodiment of an information processing method according to the present application;

FIG. 4 is a schematic diagram of a process flow of a third embodiment employing the information processing method described herein;

FIG. 5 is a schematic diagram of a process flow according to a fourth embodiment of the information processing method described in the present application;

FIG. 6 is a schematic diagram of a fifth embodiment of a process flow for implementing the information processing method described in the present application;

FIG. 7 is a schematic diagram of a process flow according to a sixth embodiment of the information processing method described in the present application;

FIG. 8 is a flowchart of an information processing method according to another embodiment of the present application;

fig. 9 is a schematic structural diagram of a node device according to an embodiment of the present application;

fig. 10 is a schematic structural diagram of a node device according to another embodiment of the present application;

FIG. 11 is a schematic diagram of an information processing apparatus according to an embodiment of the present application;

fig. 12 is a schematic structural diagram of an information processing apparatus according to another embodiment of the present application.

Detailed Description

The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.

In the embodiment of the application, the term "and/or" describes the association relationship of the association objects, which means that three relationships may exist, for example, a and/or B may be represented: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.

The term "plurality" in the embodiments of the present application means two or more, and other adjectives are similar thereto.

The technical scheme provided by the embodiment of the application can be suitable for various systems, in particular to a 5G system. For example, suitable systems may be global system for mobile communications (global system of mobile communication, GSM), code division multiple access (code division multiple access, CDMA), wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA) universal packet Radio service (general packet Radio service, GPRS), long term evolution (long term evolution, LTE), LTE frequency division duplex (frequency division duplex, FDD), LTE time division duplex (time division duplex, TDD), long term evolution-advanced (long term evolution advanced, LTE-a), universal mobile system (universal mobile telecommunication system, UMTS), worldwide interoperability for microwave access (worldwide interoperability for microwave access, wiMAX), 5G New air interface (New Radio, NR), and the like. Terminal devices and network devices are included in these various systems. Core network parts such as evolved packet system (Evloved Packet System, EPS), 5G system (5 GS) etc. may also be included in the system.

The terminal device according to the embodiments of the present application may be a device that provides voice and/or data connectivity to a user, a handheld device with a wireless connection function, or other processing device connected to a wireless modem, etc. The names of the terminal devices may also be different in different systems, for example in a 5G system, the terminal devices may be referred to as User Equipment (UE). The wireless terminal device may communicate with one or more Core Networks (CNs) via a radio access Network (Radio Access Network, RAN), which may be mobile terminal devices such as mobile phones (or "cellular" phones) and computers with mobile terminal devices, e.g., portable, pocket, hand-held, computer-built-in or vehicle-mounted mobile devices that exchange voice and/or data with the radio access Network. Such as personal communication services (Personal Communication Service, PCS) phones, cordless phones, session initiation protocol (Session Initiated Protocol, SIP) phones, wireless local loop (Wireless Local Loop, WLL) stations, personal digital assistants (Personal Digital Assistant, PDAs), and the like. The wireless terminal device may also be referred to as a system, subscriber unit (subscriber unit), subscriber station (subscriber station), mobile station (mobile), remote station (remote station), access point (access point), remote terminal device (remote terminal), access terminal device (access terminal), user terminal device (user terminal), user agent (user agent), user equipment (user device), and the embodiments of the present application are not limited.

The network device according to the embodiment of the present application may be a base station, where the base station may include a plurality of cells for providing services for a terminal. A base station may also be called an access point or may be a device in an access network that communicates over the air-interface, through one or more sectors, with wireless terminal devices, or other names, depending on the particular application. The network device may be operable to exchange received air frames with internet protocol (Internet Protocol, IP) packets as a router between the wireless terminal device and the rest of the access network, which may include an Internet Protocol (IP) communication network. The network device may also coordinate attribute management for the air interface. For example, the network device according to the embodiments of the present application may be a network device (Base Transceiver Station, BTS) in a global system for mobile communications (Global System for Mobile communications, GSM) or code division multiple access (Code Division Multiple Access, CDMA), a network device (NodeB) in a wideband code division multiple access (Wide-band Code Division Multiple Access, WCDMA), an evolved network device (evolutional Node B, eNB or e-NodeB) in a long term evolution (long term evolution, LTE) system, a 5G base station (gNB) in a 5G network architecture (next generation system), a home evolved base station (Home evolved Node B, heNB), a relay node (relay node), a home base station (femto), a pico base station (pico), and the like. In some network structures, the network device may include a Centralized Unit (CU) node and a Distributed Unit (DU) node, which may also be geographically separated.

In order to solve the problem that in the positioning process using an AI model in the prior art, a large amount of channel related information needs to be reported to a network side, resulting in larger overhead, the embodiment of the application provides an information processing method, wherein a first part of a first model is configured at a first node, input of the first part of the first model is determined through the channel related information, the first information determined according to output of the first part of the first model is obtained, and the first information is transmitted to a second node for determining input of a second part of the first model, so that the data length of the first information transmitted to the second node for information processing of the second part of the first model is smaller than the length of the channel related information, and compared with the data length of the first information transmitted to the second node directly, the effect of reducing the overhead is achieved.

As shown in fig. 1, an information processing method according to an embodiment of the present application is performed by a first node, and the method includes:

s110, determining channel related information;

s120, determining input of a first part of a first model according to the channel related information;

s130, obtaining first information, wherein the first information is determined according to the output of a first part of the first model, and the first information is used for determining the input of a second part of the first model; wherein, the data length of the first information is smaller than the data length of the channel related information;

And S140, transmitting the first information to a second node.

In the embodiment of the application, the first part of the first model is combined with the second part of the first model to form an AI model for obtaining a final result by utilizing the channel related information to perform information processing; alternatively, the first portion of the first model in combination with the second portion of the first model forms an AI model for determining the UE location, but is not limited to being usable only for UE location determination.

By adopting the information processing method in this embodiment, the AI model (first model) for determining the UE position is configured at a different node, the first node determines the input of the first part of the first model through the channel related information, obtains the first information output according to the first part of the first model, and the data length of the first information is smaller than the length of the channel related information.

In this embodiment of the present application, optionally, the first node is any one of the UE and the base station gNB, and the second node is different from the first node, optionally, the second node may be any one of the base station gNB, the LMF, and the AI model management node, or the second node may also be another entity, which is not limited in this embodiment of the present application.

In one embodiment, optionally, the channel related information is measurement information obtained by the first node measuring a first reference signal.

Wherein, when the first node is a terminal, the first reference signal includes, but is not limited to, only DL-PRS; with this embodiment, the first node obtains measurement information, that is, channel-related information, by measuring DL-PRS transmitted by the transmitting-receiving point (Transmission and Receiving Point, TRP).

In another embodiment, when the first node is a gNB, the first reference signal includes, but is not limited to, only UpLink sounding reference signals (UpLink-Sounding Reference Signal, UL-SRS); with this embodiment, the first node obtains measurement information by measuring UL-SRS transmitted by the UE, which is channel-related information.

Optionally, the measurement information obtained by the first node measuring the first reference signal includes one or more of channel impulse response (Channel Impulse Response, CIR), channel frequency domain response (Channel Frequency Response, CFR), reference signal received power (Reference Signal Received Power, RSRP), angle of Arrival (AoA), angle of Departure (AoD), and reference signal received path power (Reference Signal Received Path Power, RSRPP).

In another embodiment, in step S110, the determining channel related information includes:

determining the channel related information according to the second model;

In this embodiment, the first node may be a terminal, and obtain measurement information by measuring DL-PRS transmitted by TRP; or the first node is gNB, and the measurement information is obtained by measuring the UL-SRS sent by the UE; further, determining an input of a second model based on the obtained measurement information, and determining channel related information based on the second model; the data length of the channel related information obtained by the second model is smaller than the data length of the measurement information, so that the second model is used for carrying out data compression on the measurement information, the data length of the channel related information input to the first part of the first model is smaller, and the effect of reducing the cost is further achieved.

In one embodiment of the present application, optionally, the input of the second model is measurement information obtained by measuring the first reference signal by the first node, and the output of the second model is channel-related information; in another embodiment, the second model optionally includes two parts, the input of the first part of the second model and the output of the second part of the second model are both measurement information, and the output of the first part of the second model is channel related information.

Specifically, as shown in fig. 2, the second model includes two parts, a first part of the second model and a second part of the second model, alternatively the first part of the second model may be an encoder, and the second part of the second model is a decoder; the output of the first portion of the second model is transmitted to the second portion of the second model as an input.

The input of the first part of the second model and the output of the second part of the second model may be measurement information obtained by the first node measurement, and channel related information used for determining the input of the first part of the first model is obtained by jointly training the first part of the second model and the second part of the second model, where the channel related information is the output of the first part of the second model and is shorter in length than the input of the first part of the second model.

In this embodiment, in step S120, when determining the input of the first portion of the first model according to the channel related information, in one embodiment, optionally, the input of the first portion of the first model is the channel related information determined by the first node; in another embodiment, the first portion of the first model may include additional information in addition to channel related information determined by the first node, which may include one or more of TRP identification, DL-PRS Resource identification, AOA, AOD, toA, and TRP location.

In step S130, in the step of obtaining the first information, in one embodiment, optionally, the obtained first information may be information output by the first portion of the first model; in another embodiment, the obtained first information may alternatively be information determined by calculation according to the information output by the first part of the first model.

According to the information processing method, one or more first parts of the first models can be provided, corresponding association relations are formed between the first parts of the first models and signal transmission resources transmitted by the first reference signals, and input of the first parts of each corresponding first model can be determined according to the association relations.

Embodiment one

In a first embodiment, the number of the first parts of the first model is at least two, and the first parts of the first model that are different correspond to different signaling resources, as shown in fig. 3.

Alternatively, the signal transmission resource may include one or more of a transmission reception point transmitting a signal, a number of the transmission reception point, a physical resource of the signal transmission, a number of the physical resource, configuration information of the signal transmission, the number of antenna ports of the signal, and the like.

In the embodiment of the present application, the method described in the embodiment of the present application is described by taking an example in which the signaling resource includes a network node (a sending and receiving point) and/or a first reference signaling resource (a physical resource of signaling), but the method is not limited to this. Wherein the network node is the node that transmits the first reference signal, e.g., is a TRP. When the first node is a terminal, the first reference signal may be DL-PRS; when the first node is a gNB, the first reference signal may be an UL-SRS. The following will illustrate the first node as a terminal, but the method described in the embodiments of the present application is equally applicable to the case where the first node is a gNB.

With this embodiment, the first portion of the different first model may correspond to different TRPs, and/or to different DL-PRS resources.

Specifically, there is an association relationship between the first portion of the first model and the identification information (second identification information) of the signaling resource; that is, the first part of the first model has an association with the node identifier of the network node that transmits the first reference signal, and/or has an association with the identifier of the first reference signal transmission resource.

Wherein when the third node (e.g. a base station or an LMF) configures the first part of the first model to the first node, identification information of the signal transmission resource corresponding to the first part of the first model is indicated at the same time, i.e. node identification of the network node transmitting the first reference signal corresponding to the first part of the first model is indicated, and/or identification information of the first reference signal transmission resource corresponding to the first part of the first model is indicated.

In step S120, determining an input of a first part of a first model according to the channel related information, including:

and respectively determining the input of the first part of each first model corresponding to the signal transmission resources according to the channel related information corresponding to different signal transmission resources.

Referring to fig. 3, different signaling resources correspond to the first portions of the first models, corresponding channel related information is determined according to first reference signals corresponding to the different signaling resources, and the determined channel related information has a one-to-one correspondence with the first portions of the first models; according to the identification information of the signaling resource corresponding to the first portion of the first model obtained in advance and the association relationship between the first portion of the first model and the identification information of the signaling resource, the input of the first portion of the corresponding first model may be determined based on the channel-related information determined based on the signaling resource.

In this embodiment, the first information thus determined corresponds to the first portion of the first model and the signal transmission resource one by one.

Wherein the obtaining of the first information in step S130, the first information being determined according to the output of the first part of the first model, comprises:

With this embodiment, in step S140, the first node transmits first information to the second node, including:

According to the embodiment, when the first node transmits the first information to the second node, in one embodiment, the first identification information of the first part of the corresponding first model and/or the second identification information of the signal transmission resource corresponding to the first information can be transmitted to the second node at the same time, so that when the second node receives the first information transmitted by the first node, the second node receives the identification information corresponding to the first information at the same time, determines which first part of the first model the first information belongs to according to the corresponding identification information, and accordingly inputs the first information to the second part of the first model corresponding to the first part of the first model. Or when the second node receives the first information transmitted by the first node, the second node receives the identification information corresponding to the first information at the same time, determines the first information to be the output of the first part of which first model belongs according to the corresponding identification information, so that the second node sorts and merges the first information according to a preset sorting rule, the merged first information is input to the second part of the first model, the preset sorting rule can be the arrangement sequence of the identification information corresponding to the first information, the arrangement sequence can be the implementation behavior inside the second node, and the first node is not informed of the arrangement sequence of the identification information.

When the first node transmits the first information to the second node, in another embodiment, the first node sequentially transmits the corresponding first information to the second node according to a preset ordering rule. Alternatively, the preset ordering rule may be a first preset ordering rule, comprising ordering rules of first identification information of a first part of the plurality of first models, and/or ordering rules of second identification information of the plurality of signaling resources.

With this embodiment, the plurality of first information transmitted to the second node is ordered according to the preset ordering rule, and the second node may determine, according to the preset ordering rule, to which first portion of the first model each first information belongs, so as to input the first information to the second portion of the first model corresponding to the first portion of the first model. Or the second node sorts and merges the first information according to a preset sorting rule, and inputs the merged first information into the second part of the first model.

In this embodiment of the present application, optionally, the preset ordering rule may be configured by a third node (e.g. a base station) or determined by a predefined manner.

With this embodiment, a first node (e.g., a terminal) may obtain a plurality of first information through a first portion of different first models corresponding to a plurality of signaling resources, and transmit the plurality of first information to a second node (e.g., a gNB, LMF, or AI model management node), so that the second node may determine input of a second portion of the first model according to the plurality of first information, and determine location information of the terminal using the second portion of the first model.

Optionally, the location information of the terminal comprises location coordinates of the terminal and/or a measurement quantity related to the location of the terminal.

It should be noted that, in the first embodiment, each signal transmission resource mentioned does not refer to all signal transmission resources; in this application, the signaling resource is a signaling resource indicated by the third node and requiring the first information transmission, or is a signaling resource determined by the first node to require the first information transmission.

Alternatively, the third node may be the same node as the second node, or a different node.

In the first embodiment, corresponding to the signal transmission resources indicated by the third node or determined by the first node to need to report the channel related information, the input of the corresponding channel related information and the first part of the associated first model is respectively determined, and the first information corresponding to each signal transmission resource to need to report the channel related information is obtained.

The following describes in detail a specific implementation procedure of the first implementation manner in the information processing method according to the embodiment of the present application, taking the first node as a terminal and the second node as an LMF as an example.

Wherein the first model comprises a first part of the first model and a second part of the first model, wherein the first part of the first model is deployed on the UE side and the second part of the first model is deployed on the LMF side, the first part of the first model may be a set of first parts of one first model, and first parts of different first models in the set correspond to different TRPs (network nodes transmitting the first reference signals).

With this embodiment, the UE determines, through the first portion of the first model, first information having a data length that is less than an input data length of the first portion of the first model; alternatively, when the channel-related information is input to the first portion of the first model, the data length of the first information is smaller than the data length of the channel-related information.

Wherein, optionally, the input of the first part of the first model is channel related information determined by the UE, and the output of the first part of the first model is the first information. Here, the "data length" can be understood as any of the following explanations: bit number, node number, data amount, and information amount.

The input of the first part of the first model is channel related information determined for the UE, where the UE obtains measurement information by measuring DL-PRS transmitted by TRP, i.e. determines channel related information, which may be CIR, CFR, RSRP determined by the UE measuring DL-PRS, etc. For the N TRPs, the UE may obtain N channel related information, and at this time, the UE determines the input data of the first portions of the N first models respectively through the N channel related information, that is, the first portions of the first models corresponding to different TRPs may be different.

As shown in fig. 3, the input of the first portion of the first model is only an example of the channel-related information, and the input of the first portion of the first model may include other information than the channel-related information, for example, the other information may be: TRP identification, DL-PRS Resource identification, AOA, AOD, toA, TRP location, etc.

In fig. 3, the first part of the first model may be deployed on the UE side, and at this time, the UE determines corresponding first information through channel related information obtained by different TRPs and the first part of the first model corresponding to the different TRPs.

In this application, the first part of the first model may be disposed on the gNB side, where the gNB or the TRP obtains channel related information through UL-SRS sent by the UE, the channel related information may be CIR, CFR, RSRP determined by TRP measurement UL-PRS, and the gNB obtains channel related information through different TRPs and determines the first information through the first part of the first model corresponding to the different TRPs. The deployment of the first portion of the first model on the gNB side is also applicable to the subsequent embodiments, and not described in detail, the present embodiment is preferably described with the deployment of the first portion of the first model on the UE side.

In addition, in the embodiment of the present application, the input of the first portion of the first model is channel related information determined by the UE: the channel related information determined by the UE may be CIR, CFR, etc. obtained by measuring DL-PRS. In addition, the channel related information may be measurement information obtained by the UE through the second model and measuring DL-PRS.

By way of example, the second model comprises two parts: a first part (encoder) of the second model and a second part (decoder) of the second model, wherein the input of the encoder and the output of the encoder are CIR determined by DL-PRS (namely measurement information), and the channel related information is obtained by jointly training the encoder and the decoder, and is the output of the encoder and the length of the channel related information is smaller than the CIR determined by DL-RPS; in this embodiment of the present application, taking as an example that measurement information determined for DL-RPS measurement includes a CIR, it is understood that the measurement information may also include a CFR, or a CIR or a CFR determined for UL-SRS measurement, and so on.

The second node (gNB, LMF, or AI model management node) determines the location information of the UE based on the first information sent by the UE and the second portion of the first model.

Wherein the input of the second part of the first model is related to the first information, and the output of the second part of the first model is the position information of the UE, and the position information may be position coordinates of the UE or measurement quantities related to the position of the UE, and the measurement quantities may include ToA and/or AoA and the like.

Referring to fig. 3, the first parts of the N first models output N pieces of first information, and the N pieces of first information are reported to the second node, and the second node determines the input of the second parts of the first models through the N pieces of first information, where the output of the second parts of the first models is the location of the UE. The second node may determine the input of the second portion of the first model according to all N pieces of first information, or the second node may determine the input of the second portion of the first model according to a portion of first information in the N pieces of first information, where the second node may instruct the UE (first node) to report only a portion of the first information, for example, the second node instructs the first node to indicate to the first node the portion of TRP identification information or the portion of the identification information of DL-PRS resource, and the UE reports only the first information output by the indicated TRP identification information or the first portion of the first model corresponding to the indicated identification information of DL-PRS resource.

In the embodiment of the application, the association relationship exists between the first part of the first model and the TRP identification information and/or the DL-PRS resource identification information, the UE obtains the TRP identification information and/or the DL-PRS resource identification information while obtaining the first part of the first model, and the UE further obtains the DL-PRS resource sent by the corresponding TRP to obtain the corresponding channel related information through the TRP identification information and/or the DL-PRS resource identification information indicated by the second node, and determines the input of the first part of the first model corresponding to the TRP. That is, the third node indicates the TRP identification information and/or DL-PRS resource identification information while indicating the first portion of the first model.

In this embodiment of the present application, optionally, the third node for indicating the first portion of the first model may be the same node as the second node, or may be a different node.

When the UE transmits a plurality of first information output by a first portion of a plurality of first models to a second node (TRP), the UE should report the identification information of the first portion of the corresponding first model, the identification information of the TRP, and/or the DL-PRS resource identification information at the same time. In this way, the second node can distinguish which first information corresponds to which TRP when receiving a plurality of first information, and further determine the input of the second part of the second model according to the association relationship between the TRP and the first part of the first model transmitting the first information.

In fig. 3, the second part of the first model may be the same or different for different TRPs, or the second part of the first model corresponding to a part of the N TRPs is the same when the part of the TRPs is different from the second part of the first model corresponding to other TRPs (TRPs other than the part of the N TRPs). The present embodiment is not limited thereto. Preferably, the second part of the first model corresponding to different TRPs is identical.

In this embodiment, the UE obtains a plurality of first information through different AI models corresponding to the plurality of TRPs, and reports the plurality of first information to the second node (gNB, LMF, or AI model management node), and the second node determines an input of the second part of the first model through the plurality of first information, and determines the location information of the terminal according to an output of the second part of the first model.

Second embodiment

In the second embodiment, the number of the first parts of the first model is one, and all the signaling resources correspond to the same first part of the first model, as shown in fig. 4.

Optionally, the signaling resources comprise a network node and/or a first reference signaling resource, wherein the network node is the node that transmits the first reference signal, e.g. is a TRP. When the first node is a terminal, the first reference signal may be DL-PRS; when the first node is a gNB, the first reference signal may be an UL-SRS. The following will illustrate the first node as a terminal, but the method described in the embodiments of the present application is equally applicable to the case where the first node is a gNB.

With this embodiment, different network nodes and/or first reference signal transmission resources correspond to a first part of the same first model.

In this embodiment, in step S120, determining the input of the first portion of the first model according to the channel-related information includes:

wherein, in step S130, the first information is obtained, and the first information is determined according to the output of the first part of the first model, including:

As shown in fig. 4, in this embodiment, different signaling resources respectively correspond to the first portions of the same first model, and the first node takes each piece of channel related information obtained according to the N signaling resources as input of the first portion of the first model, and outputs first information corresponding to each signaling resource based on the first portion of the first model, for example, outputs N pieces of first information; the first node transmits first information corresponding to each signaling resource to the second node, so that the second node determines the input of the second part of the first model according to the plurality of first information.

The signaling resource used for determining the first information does not refer to all signaling resources, and the signaling resource is a signaling resource indicated by the third node and requiring the first information transmission, or a signaling resource determined by the first node and requiring the first information transmission.

In this embodiment, when the first node transmits the first information to the second node, in one embodiment, the second node may simultaneously transmit the second identification information of the signal transmission resource corresponding to the first information to the second node, so that the second node receives the identification information corresponding to the first information when receiving the first information transmitted by the first node, determines, according to the corresponding identification information, which signal transmission resource the first information is output corresponding to, so as to input each first information to the second part of the first model, and determines the location information of the terminal, thereby inputting the first information to the second part of the first model. Or when the second node receives the first information transmitted by the first node, the second node receives the identification information corresponding to the first information at the same time, and determines the first information as output of which signal transmission resource belongs to according to the corresponding identification information, so that the second node sorts and merges the first information according to a preset sorting rule, the merged first information is input into the second part of the first model, the preset sorting rule can be the arrangement sequence of the identification information corresponding to the first information, the arrangement sequence can be implementation behavior inside the second node, and the first node is not informed of the arrangement sequence of the identification information. When the first node transmits the first information to the second node, in another embodiment, the first node sequentially transmits the corresponding first information to the second node according to a preset ordering rule. Optionally, the preset ordering rule may be a second preset ordering rule, including ordering rules of second identification information of the plurality of signaling resources.

With this embodiment, the plurality of first information transmitted to the second node is ordered according to the preset ordering rule, and the second node may determine, according to the preset ordering rule, the first information as an output corresponding to which signaling resource, respectively, so as to input the first information to the second portion of the first model. Or the second node sorts and merges the first information according to a preset sorting rule, and inputs the merged first information into the second part of the first model.

Optionally, when the first node transmits the first information to the second node, a preset ordering rule adopted for ordering the first information and a preset ordering rule adopted for ordering and merging the first information after the second node receives the first information may be configured by the third node or may be determined by a predefined manner. The preset ordering rules adopted in the two processes can be the same or different.

The specific implementation process of the second embodiment of the information processing method according to the embodiment of the present application will be described in detail below by taking the first node as a terminal and the second node as an LMF as an example.

The first model comprises a first part of the first model and a second part of the first model, wherein the first part of the first model is deployed on the UE side, the second part of the first model is deployed on the LMF side, the first part of the first model is one, and all signal transmission resources correspond to the same first part of the first model.

As shown in connection with fig. 4, with this embodiment, the first part of the first model corresponding to different TRPs is the same, and the UE takes channel-related information obtained by each of the plurality of TRPs as an input of the first part of the first model.

Wherein the UE determines the first information through the first portion of the first model, and the data length of the first information is smaller than the input length of the first portion of the first model, that is, the data length of the first information is smaller than the data length of the channel related information.

The input of the first part of the first model is channel related information determined for the UE, optionally the UE obtains channel related information by measuring DL-PRS transmitted by TRP, which may be determined by the UE measuring DL-PRS, including CIR, CFR, RSRP, etc. For N TRPs, the UE may obtain N channel related information; in this embodiment, the UE determines input data of a first portion of the first model from the N channel-related information results, and outputs first information corresponding to each channel-related information based on the first portion of the first model, that is, the first portions of the first models corresponding to different TRPs are identical.

In one implementation manner of the embodiment of the present application, the input of the first portion of the first model may include only channel related information, as shown in fig. 4; in another embodiment, the input of the first part of the first model may also include other additional information than channel related information, for example, the other additional information may include: one or more of TRP identification, DL-PRS Resource identification, AOA, AOD, toA, and TRP location.

In fig. 4, the first portion of the first model may be deployed on the UE side, and in this embodiment, taking the case that N pieces of channel related information are obtained from N TRPs as an example, the UE determines N pieces of first information according to the channel related information obtained from N TRPs and the first portion of the first model.

Further, the second node (e.g., a gNB, LMF or AI model management node) obtains the first information sent by the first node, and determines the location information of the UE according to the first information sent by the UE and the second portion of the AI model.

As shown in fig. 4, the first part of the first model of the first node outputs N pieces of first information, and reports the N pieces of first information to the second node, and the second node determines the input of the second part of the first model through the N pieces of first information; the output of the second part of the first model is the location information of the UE based on the input of the second part of the first model.

In the second embodiment, when the UE transmits the first information corresponding to each TRP to the second node, the UE optionally also transmits the corresponding TRP identification information/DL-PRS identification information to the second node at the same time, and the second node determines the input of the second part of the AI model according to the plurality of first information.

Embodiment III

In the third embodiment, the number of the first parts of the first model is one, and all the signaling resources correspond to the same first part of the first model, as shown in fig. 5.

Wherein, in step S120, determining the input of the first part of the first model according to the channel related information includes:

With reference to fig. 5, in this embodiment, all signal transmission resources correspond to a first portion of the same first model, the first node combines channel related information obtained according to a plurality of signal transmission resources, inputs the combined channel related information as a whole into the first portion of the first model, obtains a corresponding first information, and transmits the first information to the second node, so that the second node determines the input of the second portion of the first model according to the first information.

Optionally, combining the channel related information corresponding to different signaling resources includes:

Wherein, optionally, the preset sort rule may be a third preset sort rule, which may be indicated by a third node or determined according to a predefined manner.

In one embodiment, when the third preset ordering rule is indicated by the third node, the indicated third preset ordering rule may enable the identification information of the signaling resource to be arranged according to the specified format, and according to the indicated format, the channel related information arranged in sequence may be one-dimensional data or two-dimensional data;

in another embodiment, the third preset ordering rule is determined by a predefined manner, and if the predefined third preset ordering rule is based on the order of the identification information of the signaling resources from big to small or from small to big, the channel related information corresponding to different signaling resources is sequentially arranged and then combined.

It should be noted that, in the embodiment of the present application, the identification information of the signaling resource includes identification information of a network node used for transmitting the first reference signal and/or identification information of the signaling resource of the first reference signal.

The following describes in detail a specific implementation procedure of the third embodiment of the information processing method according to the embodiment of the present application, using the first node as a terminal and the second node as an LMF.

The first model comprises a first part of the first model and a second part of the first model, wherein the first part of the first model is deployed on the UE side, the second part of the first model is deployed on the LMF side, the first part of the first model is one, and all signal transmission resources correspond to the same first part of the first model. Wherein the UE combines channel related information obtained from the plurality of signaling resources into a whole as an input to the first portion of the first model.

In this embodiment, the UE optionally combines channel related information obtained from the plurality of TRPs as a whole as an input to the first portion of the first model.

The implementation method specifically comprises the following implementation steps:

the UE determines first information through a first portion of the first model, the first information having a data length that is less than a data length entered by the first portion of the first model. Optionally, when the channel-related information is input as the first part of the first model, the data length of the first information is smaller than the data length of the channel-related information.

In this embodiment, the same description as that of the first embodiment will not be repeated, and only the differences will be described.

The input of the first part of the first model is channel related information determined for the UE, optionally, the UE obtains channel related information by measuring DL-PRS transmitted by TRP, the channel related information may be CIR, CFR, RSRP determined by the UE measuring DL-PRS, etc. For N TRPs, the UE may obtain N channel related information; in this way, the UE combines all or part of the N channel-related information results into a whole (referred to as combined channel-related information), and determines the input data of the first part of the first model from the combined channel-related information; with this embodiment, the first portion of the first model outputs a first message.

Referring to fig. 5, in one embodiment, the input of the first portion of the first model may alternatively include only the combined channel-related information; in another embodiment, the input of the first portion of the first model may optionally include additional information in addition to the combined channel-related information, for example, one or more of TRP identification, DL-PRS Resource identification, AOA, AOD, toA, and TRP location.

In this embodiment, the first part of the first model may be deployed on the UE side, with which the UE determines the first information from channel-related information obtained through different TRPs and the first part of the first model.

In another embodiment, optionally, the third node (which may be the same node as the second node or a different node) indicates a format of the first portion of the input data of the first model, such as: the channel related information obtained by the N TRPs is arranged according to the format of the designated TRP identification information/DL-PRS resource identification information, and the combined channel related information finally obtained by the format is used for determining the input data of the first part of the first model, wherein the input data can be one-dimensional, two-dimensional or three-dimensional. The input format may also be determined by a predefined manner, such as ordering inputs in the order of TRP identification information/DL-PRS resource identification information from small to large or from large to small.

The second node (e.g., a gNB, LMF, or AI model management node) determines the location information of the UE based on the first information sent by the UE and the second portion of the first model.

As shown in fig. 5, the first part of the first model outputs a first message and transmits the first message to the second node, the second node determines an input of the second part of the first model through the first message, and the output of the second part of the first model is the location information of the UE.

Fourth embodiment

In the fourth embodiment, the plurality of signaling resources are configured as at least one signaling resource set, that is, each signaling resource set includes a plurality of signaling resources. The number of the first parts of the first model is at least two, and the first parts of different first models respectively correspond to different signal transmission resource sets.

In one embodiment, the first node combines the plurality of channel related information corresponding to one signaling resource set into a whole, and uses the combined information as input of a first part of the first model to obtain first information corresponding to one signaling resource set, and the first node transmits the first information corresponding to different signaling resource sets to the second node respectively.

In the embodiment of the present application, the plurality of signal transmission resources corresponding to the first portions of the different first models may not be referred to as one signal transmission resource set, but may be referred to as a plurality of signal transmission resources, based on which:

combining a plurality of pieces of channel related information obtained by a plurality of signal transmission resources corresponding to a first part of a first model, and determining input of the first part of the corresponding first model according to the combined channel related information;

One of the first information corresponding to the plurality of signaling resources corresponding to the first portion of one first model is obtained, the first information being determined from the output of the corresponding first portion of the first model.

In this embodiment, optionally, in step S140, the transmitting the first information to the second node includes:

In this embodiment, optionally, combining the channel-related information corresponding to one of the signaling resource sets includes:

In this embodiment, when the plurality of signaling resources are configured as at least one signaling resource set, that is, each signaling resource set includes a plurality of signaling resources, the number of first portions of the first model is at least two, and the first portions of different first models correspond to the first portions of the same first model respectively, in another embodiment, the first node takes, as input of the first portion of the corresponding first model, each piece of channel related information obtained according to the plurality of signaling resources belonging to the one signaling resource set, and outputs, based on the first portion of the first model, first information corresponding to each signaling resource belonging to the one signaling resource set.

For example, when one signaling resource set includes N signaling resources, the first node uses each piece of channel related information obtained according to the N signaling resources as an input of a first portion of a first model corresponding to the signaling resource set, and sequentially inputs each piece of channel related information obtained by the N signaling resources to the corresponding first portion of the first model to obtain N pieces of first information.

Based on this, in this embodiment, determining the input of the first part of the first model according to the channel related information in step S120 includes:

wherein, in step S130, obtaining the first information includes:

the first information corresponding to the plurality of channel related information of the signal transmission resource set one by one is obtained, and the first information is determined according to the output of the first part of the first model corresponding to the signal transmission resource set.

In this embodiment of the present invention, optionally, the signaling resource set used for determining the signaling resource of the first information is a signaling resource indicated by the third node and requiring the first information transmission, or is a signaling resource determined by the first node to require the first information transmission.

determining an input of a first portion of a corresponding first model based on each channel-related information obtained by a plurality of signaling resources corresponding to the first portion of the first model;

wherein, in step S130, obtaining the first information includes:

first information corresponding to each channel related information obtained by a plurality of signal transmission resources corresponding to a first portion of a first model is obtained, and the first information is determined according to the output of the first portion of the corresponding first model.

In this embodiment of the present application, optionally, in step S140, the transmitting the first information to the second node includes:

In one embodiment, optionally, in a case of obtaining the first information corresponding to each channel related information of one of the signaling resource sets, the transmitting the first information corresponding to each signaling resource set to a second node includes:

It should be noted that, the transmission manner of the first information corresponding to one signaling resource set according to the preset ordering rule may be the same as the transmission manner of the first information corresponding to the plurality of signaling resources according to the preset ordering rule in the second embodiment, and will not be described in detail herein.

In this embodiment, optionally, there is an association relationship between the first portion of the first model and the set of signaling resources and signaling resources included in the set of signaling resources. Specifically, there is an association between the first identification information of the first part of the first model and the second identification information of the signaling resources and the third identification information of the signaling resource set.

For example, there is an association between the identification information of the first part of the first model and the TRP set identification information/TRP identification information (or TRP identification list)/identification information of DL-PRS transmission resources.

With this embodiment, the third node, when indicating the first part of the first model to the first node, indicates simultaneously the first identification information, the second identification information of the signaling resources corresponding to the first part of the first model and/or the third identification information of the set of signaling resources corresponding to the first part of the first model. That is, the third node (e.g., LMF) indicates the TRP set identification information or the identification information of the plurality of TRPs or the identification information of the plurality of DL-PRS transmission resources while indicating the first portion of the first model.

In another embodiment, optionally, the LMF may further indicate a format of the first portion of the input data of the first model (i.e. indicate a preset ordering rule), for example, indicate that, in the 1 TRP set, channel related information obtained according to a plurality of TRPs is arranged according to a specified format of TRP identification information/identification information of DL-PRS transmission resources, and then determine the input of the first portion of the first model according to the arranged channel related information.

Optionally, the preset ordering rule for determining the input of the plurality of channel related information of the first part of the first model may also be determined by a predefined manner, for example, by arranging the inputs in order of the TRP identification information/the identification information of the DL-PRS transmission resources from small to large or from large to small, which of course does not exclude other predefined manners.

Optionally, when the first node reports the first information corresponding to the 1 TRP set, the first node should report the identification information/TRP set identification information/multiple TRP identification information/multiple DL-PRS transmission resource identification information of the first part of the corresponding first model at the same time.

The following describes in detail a specific implementation procedure of the fourth embodiment of the information processing method according to the embodiment of the present application, using the first node as a terminal and the second node as an LMF.

The first model comprises a first part of the first model and a second part of the first model, wherein the first part of the first model is deployed on the UE side, the second part of the first model is deployed on the LMF side, a plurality of TRPs form N TRP sets, the first part of the first model corresponding to each TRP set is identical, and the first parts of the first models corresponding to different TRP sets are different.

Wherein the UE determines first information through the first portion of the first model, the first information having a data length that is less than an input data length of the first portion of the first model.

The input of the first part of the first model is channel related information determined for the UE, optionally the UE obtains channel related information by measuring DL-PRS transmitted by TRP, which may include CIR, CFR, RSRP determined by the UE measuring DL-PRS, etc. As shown in fig. 6, for N TRPs (signaling resources), M TRP sets (signaling resource sets) may be configured, the first part of the first model corresponding to each TRP set being the same, the first part of the first model corresponding to different TRP sets being different. The UE combines a plurality of channel-related information results corresponding to a plurality of TRPs included in 1 TRP set into one body (referred to as combined channel-related information), determines input data of a first part of a first model by the combined channel-related information, outputs one piece of first information based on the first part of the first model, and so on, outputs one piece of first information for the combined channel-related information 1 to channel-related information M, respectively, the first part of the first model corresponding to the corresponding TRP set. That is, the first part of the first model corresponding to different TRPs in 1 TRP set is the same. As shown in fig. 6, in the case that 1 TRP set includes X TRPs, the X TRPs included in the 1 TRP set correspond to the first part of the same first model, and the X channel related information corresponding to the X TRPs in the 1 TRP set are integrated and then input to the first part of the corresponding first model.

In fig. 6, a first part of the first model is deployed on the UE side, and optionally, the UE determines M pieces of first information from channel related information obtained by TRPs in different TRP sets and the corresponding first part of the first model.

In another embodiment, for N TRPs, M TRP sets may be configured, where the first portion of the first model corresponding to each TRP set is the same and the first portion of the first model corresponding to different TRP sets is different. In this embodiment, as shown in fig. 7, the UE inputs a plurality of channel-related information corresponding to a plurality of TRPs included in one TRP set to a first portion of a first model, determines input data of the first portion of the first type, respectively, and outputs a plurality of first information based on the plurality of channel-related information input by the first portion of the first model corresponding to one TRP set.

For example, as shown in fig. 7, the plurality of TRPs is configured as M TRPs, each TRP set including X TRPs, each TRP set corresponding to a first portion of one first model, and different TRPs set corresponding to a first portion of a different first model; wherein, for each TRP set, inputting the X pieces of channel related information obtained according to the TRP in each TRP set to the first part of the corresponding first model, for example, the X pieces of channel related information corresponding to the first TRP set are respectively input to the first part 1 of the first model, the X pieces of channel related information corresponding to the second TRP set are respectively input to the first part 2 of the first model, and so on, so that the first part of the corresponding first model sequentially outputs the corresponding X pieces of first information according to the input X pieces of channel related information, for example, the output first information includes the first information 1_1, … and the first information 1_x for the first part 1 of the first model; for the first part 2 of the first model, the output first information includes first information 2_1, …, first information 2_x, and the like, and the first parts of the M first models corresponding to the M TRP sets output X pieces of first information respectively, and each obtained first information is input to the second part of the first model of the second node after being combined, so as to determine the location information of the UE.

On this basis, the second node (for example, a gNB, LMF, or AI model management node) determines the location information of the UE according to the first information sent by the UE and the second part of the first model.

As shown in fig. 6, in this embodiment, the first part of the first model outputs M pieces of first information, and reports the M pieces of first information to the second node, and the second node determines the input of the second part of the AI model according to the M pieces of first information, and optionally, the output of the second part of the first model is the location information of the UE.

As shown in fig. 7, in this embodiment, when N TRPs are configured as M TRPs, the first portion of the first model outputs N pieces of first information, each piece of first information corresponds to one TRP, and the N pieces of first information are reported to the network device, and the network device determines, according to the N pieces of first information, an input of the second portion of the first model, and optionally, an output of the second portion of the first model is location information of the UE.

In the first to fourth embodiments, the same process is not described in detail in each embodiment, and specific reference may be made to the description of the above embodiments.

For example, in the fourth embodiment, for a plurality of first information corresponding to one signaling resource set, the preset ordering rule adopted when transmitting to the second node may be indicated by the network node or determined according to a predefined manner, where the determination manner of the preset ordering rule may be according to the description in the second embodiment, which is not illustrated herein.

In this embodiment, on the basis of the first to fourth embodiments, the method further includes:

acquiring a first part of the first model;

the first part of the first model is one part of the split first model of the third node; the first model is determined by the third network node according to measurement information reported by a positioning calibration point and position information of the positioning calibration point; or alternatively

Optionally, the method further comprises:

a time-dependent parameter of the first portion of the first model is also acquired while the first portion of the first model is in the process.

Wherein the time-dependent parameters of the first portion of the first model include one or more of the following information:

an effective start time of a first portion of the first model;

the effective length of time of the first portion of the first model;

a time to failure of a first portion of the first model;

training completion time of the first portion of the first model.

In this embodiment of the present application, the third node and the fourth node mentioned above may be the same node, or may be different nodes; optionally, when the second node is a network device, the second node, the third node and the fourth node may be the same node.

In one embodiment of the information processing method of the embodiment of the present application, the first model is determined by the third node according to measurement information reported by the positioning calibration point and position information of the positioning calibration point, and is deployed to the first node and the second node by splitting the first model into a first portion and a second portion.

In this embodiment, the first portion of the first model and the second portion of the first model are different portions of the first model, and the first portion of the first model and the second portion of the first model are obtained by joint training.

Wherein, when the first part of the first model and the second part of the first model are obtained through combined training, training data is obtained as follows: a positioning calibration Point (PRU) reports channel related information and corresponding position information obtained by measuring PRS to a third node (which can be LMF or other newly introduced entity for training AI model); or the TRP reports channel related information obtained by SRS sent by the measured PRU and the position corresponding to the PRU to the third node. Alternatively, the third node may be the PRU itself or the UE itself, and in this embodiment, only the process of determining the channel related information is involved in the process of performing the first model training, and no process of reporting the channel related information is involved. The third node may be the same node as the second node, or the third node may be a different node than the second node.

Joint training: the third node trains and obtains a first model through channel related information and PRU position reported by TRP/PRU, wherein the channel related information is used as input of the first model, and the PRU position is used as output of the first model;

model partitioning and air interface signaling: the third node divides the first model into a first part of the first model and a second part of the first model, and informs the first part of the first model to the UE/TRP (first node) through air interface signaling, and the second part of the first model to the second node (such as LMF) through air interface signaling;

It is not excluded that the third node is a network device (LMF) or a UE or TRP, where only the third node is involved in signaling the first part of the first model or the second part of the first model to devices other than itself.

Joint reasoning: the UE/TRP obtains channel related information by measuring the DL-PRS/UL-SRS, obtains first information by the channel related information and a first part of a first model, and sends the first information to the LMF, and the LMF obtains the position of the UE by the first information and a second part of the first model.

In this embodiment, optionally, when the third node signals the first portion of the first model and/or the second portion of the first model through air interface signaling, the third node further indicates a time-related parameter; the time-dependent parameter may include a starting point in time at which the first portion of the first model and/or the second portion of the first model takes effect, an effective length of time for which the first portion of the first model and/or the second portion of the first model respectively corresponds, a point in time at which the first portion of the first model and/or the second portion of the first model fails, a point in time at which the first portion of the first model and/or the second portion of the first model completes training, and so on. The UE or LMF may be located by conventional location methods after failure of the first portion of the first model and/or the second portion of the first model.

In another embodiment, the first part of the first model is a model determined by the fourth node based on measurement information reported by the positioning calibration point and/or location information of said positioning calibration point. The second part of the first model is a model determined by the third node based on the second information output by the fourth node and the position information of the positioning calibration point, and the second information is determined by the information output by the first part of the first model.

With this embodiment, the first part of the first model and the second part of the first model are two models each trained independently, and the reasoning process requires joint reasoning of the two models.

Training data acquisition: a positioning calibration Point (PRU) reports channel related information and corresponding positions obtained by measuring PRS to a third node and/or a fourth node (which can be LMF or other newly introduced entity for training AI model); or the TRP reports channel related information obtained by SRS sent by the measured PRU and the position corresponding to the PRU to the first node and/or the second node.

It is not excluded that the third node and/or the fourth node is the PRU itself or the UE itself, and only the process of determining the channel related information is involved in this case, and the reporting process is not involved.

Independent training of the first model: the fourth node trains a first model, wherein the input and the output of the first model are channel related information, the first model can comprise an encoder+decoder (namely, the first model comprises two sub-models), the part of the encoder (one sub-model) is used as a first part of the first model, and the output of the encoder is the first information;

independent training of the second model: the third node trains a second model, the input of the second model is the first information, the output is the position of the PRU, and the second model is used as a second part of the first model;

alternatively, the fourth node that trains the first model may be the same as the third node that trains the second model.

Model air interface signaling: the fourth node informs the UE (first node) of the first part of the first model through air interface signaling, and the third node informs the LMF (second node) of the second part of the first model through air interface signaling;

it is not excluded that the third node is a UE or TRP and that the fourth node is a network device LMF, in which case only the step of the third node/fourth node informing the first part of the first model or the second part of the first model to devices other than itself by air-interface signaling is involved.

Joint reasoning: the UE/TRP obtains channel related information by measuring the PRS/SRS, obtains first information by the channel related information and a first part of a first model, and sends the first information to the LMF, and the LMF obtains the position of the UE by the first information and a second part of the first model.

Also, as in the previous embodiment, the third node and the fourth node also indicate time-related parameters, respectively, when informing the first part of the first model and/or the second part of the first model by air-interface signaling; the time-dependent parameter may include a starting point in time at which the first portion of the first model and/or the second portion of the first model takes effect, an effective length of time for which the first portion of the first model and/or the second portion of the first model respectively corresponds, a point in time at which the first portion of the first model and/or the second portion of the first model fails, a point in time at which the first portion of the first model and/or the second portion of the first model completes training, and so on. The UE or LMF may be located by conventional location methods after failure of the first portion of the first model and/or the second portion of the first model.

In the two training determination embodiments of the first model, the third node and the fourth node in advance are only used for distinguishing from the first node and the second node, and may be the same node, for example, may be the same node as the second node.

In the embodiment of the present application, when the position of the UE is obtained by performing joint reasoning on the first portion of the first model on the UE side and the second portion of the first model on the network side, the length of the first information output by the first portion of the first model on the UE side is smaller than the length of the channel related information input by the first portion of the first model on the UE side.

Another aspect of the embodiments of the present application further provides an information processing method, which is executed by a second node, as shown in fig. 8, where the method includes:

s810, receiving first information transmitted by a first node; after the first node determines the input of a first part of a first model according to the channel related information, determining according to the output of the first part of the first model, wherein the data length of the first information is smaller than that of the channel related information;

s820, determining the input of the second part of the first model according to the first information, and obtaining the position information of the terminal.

By adopting the information processing method of the embodiment of the application, the first model for information processing is configured at different nodes, the first part of the first model is combined with the second part of the first model to form the AI model for obtaining the analysis result by utilizing the channel related information to perform analysis processing, the first node determines the input of the first part of the first model through the channel related information to obtain the first information output according to the first part of the first model, the data length of the first information is smaller than the length of the channel related information, and the first information is used for being output to the second node to perform information processing to determine the position information of the terminal. Compared with the method that the first node directly transmits the channel related information to the second node, the method can achieve the effect of reducing the cost.

channel impulse response, CIR;

channel frequency domain response CFR;

reference signal received power RSRP;

time of arrival AoA;

a departure time AoD;

reference signal received path power RSRPP.

wherein, in step S810, receiving the first information transmitted by the first node includes:

wherein, in step S810, receiving the first information transmitted by the first node includes: and receiving one piece of first information corresponding to the combined channel related information of the signal transmission resource set, which is transmitted by a first node, wherein the first information is determined according to the output of a first part of the first model corresponding to the signal transmission resource set.

Optionally, in the information processing method, in step S810, the receiving the first information transmitted by the first node further includes:

Optionally, the information processing method, in step S810, the receiving the first information transmitted by the first node and corresponding to each set of signaling resources, includes:

acquiring a second portion of the first model;

One embodiment of the present application further provides a node device, where the node device is a first node, as shown in fig. 9, and includes a memory 910, a transceiver 920, and a processor 930:

a memory 910 for storing a computer program; a transceiver 920 for receiving and transmitting data under the control of the processor; a processor 930 configured to read the computer program in the memory and perform the following operations:

Determining channel related information;

transmitting the first information to a second node.

Optionally, the node device, wherein the channel related information is measurement information obtained by the first node measuring a first reference signal.

Optionally, the node device, wherein the determining channel related information includes:

determining the channel related information according to the second model;

Optionally, the node device, wherein the measurement information includes one or more of the following information:

channel impulse response, CIR;

Channel frequency domain response CFR;

reference signal received power RSRP;

time of arrival AoA;

a departure time AoD;

reference signal received path power RSRPP.

Optionally, the number of the first parts of the first model is at least two, and the first parts of different first models correspond to different signal transmission resources;

wherein processor 930 determines inputs for the first portion of the first model based on the channel-related information, including:

wherein processor 930 obtains the first information, which is determined from the output of the first portion of the first model, including:

Optionally, the number of the first parts of the first model is one, and all signal transmission resources correspond to the same first part of the first model;

wherein processor 930 obtains the first information, the determining of the first information from the output of the first portion of the first model includes:

Optionally, the number of the first parts of the first model is at least two, and the first parts of different first models respectively correspond to different signal transmission resource sets, and one signal transmission resource set includes a plurality of signal transmission resources;

wherein processor 930 obtains the first information, including:

Optionally, the node device, wherein the processor 930 transmits the first information to a second node, including:

Optionally, the node device, wherein the processor 930 combines the channel related information corresponding to different signaling resources, includes:

Optionally, the node device, wherein the processor 930 combines the channel related information corresponding to one of the signaling resource sets, including:

Optionally, in the node device, in a case where the first information corresponding to each of the channel related information of one of the signaling resource sets is obtained, the processor 930 transmits the first information corresponding to each of the signaling resource sets to a second node, respectively, including:

Optionally, the node device, wherein the processor 930 is further configured to:

Optionally, in the node device, when the first portions of the different first models respectively correspond to different signal transmission resource sets, the processor 930 is further configured to, when acquiring the second identification information of the signal transmission resource corresponding to the first portion of the first model, perform the following operations:

Optionally, the node device, where the signaling resource is a signaling resource indicated by the third node and requiring the first information transmission, or is a signaling resource determined by the first node to require the first information transmission.

acquiring a first part of the first model;

Optionally, the node device, wherein the time-related parameter of the first part of the first model includes one or more of the following information:

an effective start time of a first portion of the first model;

the effective length of time of the first portion of the first model;

a time to failure of a first portion of the first model;

training completion time of the first portion of the first model.

Wherein in fig. 9, a bus architecture may comprise any number of interconnected buses and bridges, and in particular one or more processors represented by processor 930 and various circuits of memory represented by memory 910, linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. The bus interface provides an interface. Transceiver 920 may be a number of elements, including a transmitter and a receiver, providing a means for communicating with various other apparatus over a transmission medium, including wireless channels, wired channels, optical cables, etc. The processor 930 is responsible for managing the bus architecture and general processing, and the memory 910 may store data used by the processor 930 in performing operations.

Processor 930 may be a Central Processing Unit (CPU), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or complex programmable logic device (Complex Programmable Logic Device, CPLD), or may employ a multi-core architecture.

One embodiment of the present application further provides a node device, where the node device is a first node, as shown in fig. 10, and includes a memory 1010, a transceiver 1020, and a processor 1030:

a memory 1010 for storing a computer program; a transceiver 1020 for transceiving data under the control of the processor; a processor 1030 for reading the computer program in the memory and performing the following operations:

Optionally, the node device, wherein the channel related information is determined by the first node according to a second model, wherein input of the second model is determined according to measurement information obtained by measuring a first reference signal by the first node, and a data length of the channel related information is smaller than a data length of the measurement information.

channel impulse response, CIR;

channel frequency domain response CFR;

reference signal received power RSRP;

time of arrival AoA;

a departure time AoD;

reference signal received path power RSRPP.

wherein processor 1030 receives first information transmitted by a first node, comprising:

wherein processor 1030 receives first information transmitted by a first node, comprising: and receiving one piece of first information corresponding to the combined channel related information of the signal transmission resource set, which is transmitted by a first node, wherein the first information is determined according to the output of a first part of the first model corresponding to the signal transmission resource set.

Optionally, the node device, where, when receiving the first information transmitted by the first node, the processor 1030 further performs the following operations:

Optionally, the node device, wherein the processor 1030 receives the first information transmitted by the first node, further performs the following operations:

Optionally, the node device, where the processor 1030 receives the first information transmitted by the first node and corresponding to each of the signaling resource sets, and includes:

Optionally, the node device, wherein the processor 1030 further performs the following operations:

Optionally, the node device, wherein, in a case that the first portions of the different first models respectively correspond to different signaling resource sets, the processor 1030 further performs the following operations:

Optionally, the number of the second parts of the first model is at least two, and when the number of the first information is a plurality of the second parts of each first model corresponds to the first information of one part of the second parts;

wherein processor 1030 determines input for a second portion of the first model from the first information, comprising:

acquiring a second portion of the first model;

Where in FIG. 10, a bus architecture may be comprised of any number of interconnected buses and bridges, and in particular one or more processors represented by processor 1030 and various circuits of the memory, represented by memory 1010. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. The bus interface provides an interface. The transceiver 1020 may be a number of elements, including a transmitter and a receiver, providing a means for communicating with various other apparatus over a transmission medium, including wireless channels, wired channels, optical cables, etc. Processor 1030 is responsible for managing the bus architecture and general processing, with memory 1010 storing data used by processor 1030 in performing operations.

Processor 1030 may be a Central Processing Unit (CPU), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field-programmable gate array (Field-Programmable Gate Array, FPGA) or complex programmable logic device (Complex Programmable Logic Device, CPLD), or the processor may employ a multi-core architecture.

The embodiment of the application also provides an information processing apparatus, which is applied to a first node, as shown in fig. 11, and includes:

a first determining unit 1110 for determining channel-related information;

a second determining unit 1120, configured to determine an input of a first portion of the first model according to the channel related information;

an information acquisition unit 1130 for obtaining first information, the first information being determined from an output of a first portion of the first model and the first information being used to determine an input of a second portion of the first model; wherein, the data length of the first information is smaller than the data length of the channel related information;

an information transmission unit 1140 is configured to transmit the first information to a second node.

Optionally, the information processing apparatus, wherein the channel related information is measurement information obtained by the first node measuring a first reference signal.

Optionally, the information processing apparatus, wherein the first determining unit 1110 determines channel related information, includes:

determining the channel related information according to the second model;

Optionally, the information processing apparatus, wherein the measurement information includes one or more of the following information:

channel impulse response, CIR;

channel frequency domain response CFR;

reference signal received power RSRP;

time of arrival AoA;

a departure time AoD;

reference signal received path power RSRPP.

Optionally, the information processing apparatus, wherein the number of the first parts of the first model is at least two, and different first parts of the first model correspond to different signal transmission resources;

wherein the second determining unit 1120 determines an input of the first part of the first model according to the channel related information, including:

Wherein the information obtaining unit 1130 obtains the first information, which is determined according to the output of the first part of the first model, including:

Optionally, the information processing apparatus, wherein the number of the first parts of the first model is one, and all signal transmission resources correspond to the same first part of the first model;

wherein the information obtaining unit 1130 obtains the first information, and the determining of the first information according to the output of the first part of the first model includes:

Optionally, the information processing apparatus, wherein the number of the first parts of the first model is at least two, and the first parts of the different first models respectively correspond to different signal transmission resource sets, and one signal transmission resource set includes a plurality of signal transmission resources;

wherein the information obtaining unit 1130 obtains the first information, including:

Optionally, the information processing apparatus, wherein the information transmission unit 1140 transmits the first information to a second node, including:

Optionally, in the information processing apparatus, the second determining unit 1120 combines the channel related information corresponding to different signal transmission resources, including:

Optionally, the information processing apparatus, wherein the second determining unit 1120 combines a plurality of the channel related information corresponding to one of the signal transmission resource sets, and includes:

Alternatively, the information processing apparatus, wherein, in a case where the first information corresponding to each of the channel related information of one of the signal transmission resource sets is obtained, the information transmission unit 1140 transmits the first information corresponding to each of the signal transmission resource sets to a second node, respectively, includes:

Optionally, in the information processing apparatus, the information acquiring unit 1130 is further configured to:

Optionally, in the information processing apparatus, when the first portions of the first models respectively correspond to different signal transmission resource sets, the information obtaining unit 1130 is further configured to, when obtaining the second identification information of the signal transmission resource corresponding to the first portion of the first model:

Optionally, the information processing apparatus, wherein the signal transmission resource is a signal transmission resource that needs to perform the first information transmission and indicated by the third node, or is a signal transmission resource that needs to perform the first information transmission and determined by the first node.

acquiring a first part of the first model;

and acquiring time-related parameters of the first part of the first model sent by the third node when acquiring the first part of the first model configured by the third node.

Optionally, the information processing apparatus, wherein the time-related parameter of the first portion of the first model includes one or more of the following information:

an effective start time of a first portion of the first model;

the effective length of time of the first portion of the first model;

A time to failure of a first portion of the first model;

training completion time of the first portion of the first model.

The embodiment of the application also provides an information processing apparatus, which is applied to a second node, as shown in fig. 12, and includes:

an information receiving unit 1210 for receiving first information transmitted by a first node; after the first node determines the input of a first part of a first model according to the channel related information, determining according to the output of the first part of the first model, wherein the data length of the first information is smaller than that of the channel related information;

and a processing unit 1220, configured to determine, according to the first information, an input of the second portion of the first model, and obtain location information of the terminal.

Optionally, the information processing apparatus further includes a second model, where an input of the second model is determined according to measurement information obtained by the first node measuring a first reference signal, and a data length of the channel related information is smaller than a data length of the measurement information.

channel impulse response, CIR;

channel frequency domain response CFR;

reference signal received power RSRP;

time of arrival AoA;

a departure time AoD;

reference signal received path power RSRPP.

wherein the information receiving unit 1210 receives first information transmitted by a first node, including:

wherein the information receiving unit 1210 receives first information transmitted by a first node, including: and receiving one piece of first information corresponding to the combined channel related information of the signal transmission resource set, which is transmitted by a first node, wherein the first information is determined according to the output of a first part of the first model corresponding to the signal transmission resource set.

Optionally, in the information processing apparatus, when receiving the first information transmitted by the first node, the information receiving unit 1210 is further configured to:

Optionally, in the information processing apparatus, the information receiving unit 1210 receives first information transmitted by a first node, and further includes:

Alternatively, the information processing apparatus, wherein the information receiving unit 1210 receives the first information transmitted by the first node and corresponding to each of the signal transmission resource sets, and includes:

Optionally, in the information processing apparatus, the information receiving unit 1210 is further configured to:

Optionally, in the information processing apparatus, the information receiving unit 1210 is further configured to, in a case where the first portions of the different first models respectively correspond to different signal transmission resource sets:

wherein the processing unit 1220 determines an input of a second part of the first model from the first information, comprising:

Acquiring a second portion of the first model;

It should be noted that, the information processing method and the information processing apparatus described in the present application are based on the same application conception, and since the principles of solving the problems by the method and the apparatus are similar, the implementation of the apparatus and the method may be referred to each other, and the repetition is not repeated.

It should be noted that, the above device provided in this embodiment of the present application can implement all the method steps implemented in the method embodiment and achieve the same technical effects, and detailed descriptions of the same parts and beneficial effects as those of the method embodiment in this embodiment are omitted.

The division of the units in the embodiment of the present application is schematic, which is merely a logic function division, and other division manners may be implemented in practice. In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a processor-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution, in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Embodiments of the present application also provide a processor-readable storage medium storing a computer program for causing the processor to execute the information processing method as set forth in any one of the above

The processor-readable storage medium may be any available medium or data storage device that can be accessed by a processor, including, but not limited to, magnetic storage (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical storage (e.g., CD, DVD, BD, HVD, etc.), semiconductor storage (e.g., ROM, EPROM, EEPROM, nonvolatile storage (NAND FLASH), solid State Disk (SSD)), and the like.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-executable instructions. These computer-executable instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the processor-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.

Claims

1. An information processing method, performed by a first node, the method comprising:

determining channel related information;

Transmitting the first information to a second node.

2. The information processing method according to claim 1, wherein the channel-related information is measurement information obtained by measuring a first reference signal by the first node.

3. The information processing method according to claim 1, wherein the determining channel-related information includes:

determining the channel related information according to the second model;

4. An information processing method according to claim 2 or 3, characterized in that the measurement information includes one or more of the following information:

channel impulse response, CIR;

channel frequency domain response CFR;

reference signal received power RSRP;

time of arrival AoA;

a departure time AoD;

reference signal received path power RSRPP.

5. The information processing method according to claim 1, wherein the number of the first portions of the first model is at least two, and different first portions of the first model correspond to different signal transmission resources;

6. The information processing method according to claim 1, wherein the number of the first portions of the first model is one, and all the signal transmission resources correspond to the same first portion of the first model;

7. The information processing method according to claim 1, wherein the number of the first portions of the first model is at least two, the first portions of the different first models respectively correspond to different signal transmission resource sets, one of the signal transmission resource sets including a plurality of signal transmission resources;

8. The information processing method according to claim 1, wherein the number of the first portions of the first model is at least two, the first portions of the different first models respectively correspond to different signal transmission resource sets, one of the signal transmission resource sets including a plurality of signal transmission resources;

wherein obtaining the first information includes:

9. The information processing method according to claim 1, wherein the number of the first portions of the first model is one, and all the signal transmission resources correspond to the same first portion of the first model;

10. The information processing method according to claim 5 or 6, characterized in that the transmitting the first information to a second node includes:

11. The information processing method according to claim 7 or 8, characterized in that the transmitting the first information to a second node includes:

12. The information processing method according to claim 9, wherein combining the channel-related information corresponding to different signaling resources, comprises:

13. The information processing method according to claim 7, wherein combining the plurality of channel-related information corresponding to one of the signal transmission resource sets, comprises:

14. The information processing method according to claim 11, wherein in the case of obtaining the first information respectively corresponding to each of the channel-related information of one of the signal transmission resource sets, transmitting the first information respectively corresponding to each of the signal transmission resource sets to a second node, respectively, comprises:

15. The information processing method according to claim 10 or 14, characterized in that the method further comprises:

16. The information processing method according to claim 15, wherein in the case where the first portions of the different first models respectively correspond to different sets of signal transmission resources, when acquiring the second identification information of the signal transmission resources corresponding to the first portions of the first models, the method further comprises:

17. An information processing method according to any one of claims 5 to 9, wherein the signaling resource is a signaling resource for which first information transmission is required indicated by a third node, or is a signaling resource for which first information transmission is determined by the first node.

18. The information processing method according to claim 1, characterized in that the method further comprises:

acquiring a first part of the first model;

19. The information processing method according to claim 18, characterized in that the method further comprises:

20. The information processing method according to claim 19, wherein the time-dependent parameters of the first portion of the first model include one or more of the following information:

an effective start time of a first portion of the first model;

the effective length of time of the first portion of the first model;

a time to failure of a first portion of the first model;

training completion time of the first portion of the first model.

21. An information processing method, performed by a second node, the method comprising:

22. The information processing method according to claim 21, wherein the channel-related information is measurement information obtained by measuring a first reference signal by the first node.

23. The information processing method according to claim 21, wherein the channel-related information is determined for the first node according to a second model, wherein an input of the second model is determined according to measurement information obtained by the first node measuring a first reference signal, and wherein a data length of the channel-related information is smaller than a data length of the measurement information.

24. The information processing method according to claim 22 or 23, wherein the measurement information includes one or more of the following information:

channel impulse response, CIR;

channel frequency domain response CFR;

reference signal received power RSRP;

time of arrival AoA;

a departure time AoD;

reference signal received path power RSRPP.

25. The information processing method according to claim 21, wherein the number of the first portions of the first model is at least two, and different first portions of the first model correspond to different signal transmission resources;

wherein receiving the first information transmitted by the first node includes:

26. The information processing method according to claim 21, wherein the number of the first portions of the first model is one, and all of the signal transmission resources correspond to the same first portion of the first model;

wherein receiving the first information transmitted by the first node includes:

27. The information processing method according to claim 21, wherein the number of the first portions of the first model is at least two, and the first portions of the different first models correspond to different sets of signal transmission resources, respectively, one of the sets of signal transmission resources including a plurality of signal transmission resources;

wherein receiving the first information transmitted by the first node includes:

28. The information processing method according to claim 21, wherein the number of the first portions of the first model is at least two, and the first portions of the different first models correspond to different sets of signal transmission resources, respectively, one of the sets of signal transmission resources including a plurality of signal transmission resources;

wherein receiving the first information transmitted by the first node includes:

29. The information processing method according to claim 21, wherein the number of the first portions of the first model is one, and all of the signal transmission resources correspond to the same first portion of the first model;

wherein receiving the first information transmitted by the first node includes:

30. The information processing method according to claim 25 or 26, characterized by further comprising, upon receiving the first information transmitted by the first node:

31. The information processing method according to claim 27 or 28, wherein receiving the first information transmitted by the first node, further comprises:

32. The method according to claim 31, wherein receiving the first information transmitted by the first node and corresponding to each of the signal transmission resource sets, respectively, comprises:

33. The information processing method according to claim 30 or 32, characterized in that the method further comprises:

34. The method according to claim 33, wherein in the case where the first portions of the different first models respectively correspond to different sets of signal transmission resources, the method further comprises:

35. The method according to any one of claims 25 to 29, wherein the number of the second portions of the first models is at least two, and in the case where the first information is plural, the second portions of each first model correspond to the first information of one of the portions, respectively;

36. The information processing method according to claim 21, characterized in that the method further comprises:

acquiring a second portion of the first model;

37. A node device, the node device being a first node, comprising a memory, a transceiver, and a processor:

Determining channel related information;

transmitting the first information to a second node.

38. A node device, the node device being a second node, comprising a memory, a transceiver, and a processor:

39. An information processing apparatus, applied to a first node, comprising:

a first determining unit configured to determine channel-related information;

40. An information processing apparatus, characterized by being applied to a second node, comprising:

41. A processor-readable storage medium, characterized in that the processor-readable storage medium stores a computer program for causing the processor to execute the information processing method of any one of claims 1 to 20 or causing the processor to execute the information processing method of any one of claims 21 to 36.