CN117997457A

CN117997457A - Reference signal determining method, terminal and network side equipment

Info

Publication number: CN117997457A
Application number: CN202211352315.3A
Authority: CN
Inventors: 袁江伟; 孙鹏; 刘昊; 宋扬; 吴昊; 王臣玺
Original assignee: Vivo Mobile Communication Co Ltd
Current assignee: Vivo Mobile Communication Co Ltd
Priority date: 2022-10-31
Filing date: 2022-10-31
Publication date: 2024-05-07
Also published as: WO2024093771A1

Abstract

The application discloses a reference signal determining method, a terminal and network side equipment, belonging to the technical field of communication, wherein the reference signal determining method comprises the following steps: the method comprises the steps that a terminal determines at least one of a first CSI-RS, a second CSI-RS and a third CSI-RS, wherein the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring channel prediction performance of the terminal.

Description

Reference signal determining method, terminal and network side equipment

Technical Field

The application belongs to the technical field of communication, and particularly relates to a reference signal determining method, a terminal and network side equipment.

Background

The current terminal performs channel prediction mainly based on a channel state information reference signal (CHANNEL STATE information REFERENCE SIGNAL, CSI-RS), that is, the current CSI-RS is default to be used for channel prediction. That is, CSI-RS communicated between target communication devices is always used for channel prediction, which results in poor transmission performance between communication devices.

Disclosure of Invention

The embodiment of the application provides a reference signal determining method, a terminal and network side equipment, which can solve the problem of relatively poor transmission performance between communication equipment.

In a first aspect, a reference signal determining method is provided, including:

The method comprises the steps that a terminal determines at least one of a first CSI-RS, a second CSI-RS and a third CSI-RS, wherein the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring channel prediction performance of the terminal.

In a second aspect, a reference signal determining method is provided, including:

the network side equipment sends network signaling to the terminal, wherein the network signaling is used for the terminal to determine at least one of a first channel measurement reference signal (CSI-RS), a second CSI-RS and a third CSI-RS, the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring the channel prediction performance of the terminal.

In a third aspect, there is provided a reference signal determining apparatus comprising:

The determining module is used for determining at least one of a first channel measurement reference signal (CSI-RS), a second CSI-RS and a third CSI-RS by the terminal, wherein the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring the channel prediction performance of the terminal.

In a fourth aspect, there is provided a reference signal determining apparatus comprising:

The system comprises a first sending module, a second sending module and a third sending module, wherein the first sending module is used for sending network signaling to a terminal, the network signaling is used for determining at least one of a first channel measurement reference signal (CSI-RS), a second CSI-RS and a third CSI-RS by the terminal, the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring the channel prediction performance of the terminal.

In a fifth aspect, a terminal is provided, which includes a processor and a memory, where the memory stores a program or an instruction executable on the processor, and the program or the instruction implements the steps of the method for determining a reference signal on a terminal side according to the embodiment of the present application when the program or the instruction is executed by the processor.

In a sixth aspect, a terminal is provided, including a processor and a communication interface, where the processor is configured to determine at least one of a first channel measurement reference signal CSI-RS, a second CSI-RS, and a third CSI-RS, where the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring channel prediction performance of the terminal.

In a seventh aspect, a network side device is provided, where the network side device includes a processor and a memory, where the memory stores a program or an instruction that can be executed by the processor, where the program or the instruction implements the steps of the method for determining a reference signal on a network side device provided by an embodiment of the present application.

In an eighth aspect, a network side device is provided, including a processor and a communication interface, where the communication interface is configured to send network signaling to a terminal, where the network signaling is configured to determine at least one of a first CSI-RS, a second CSI-RS, and a third CSI-RS, where the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring channel prediction performance of the terminal.

In a ninth aspect, there is provided a reference signal determination system comprising: the terminal and the network side device can be used for executing the steps of the method for determining the reference signal of the terminal side provided by the embodiment of the application, and the network side device can be used for executing the steps of the method for determining the reference signal of the network side device provided by the embodiment of the application.

In a tenth aspect, there is provided a readable storage medium having stored thereon a program or instructions which, when executed by a processor, implement the steps of the method for determining a reference signal on a terminal side provided by the embodiment of the present application, or implement the steps of the method for determining a reference signal on a network side device side provided by the embodiment of the present application.

In an eleventh aspect, a chip is provided, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, where the processor is configured to execute a program or instructions, implement a method for determining a reference signal on a terminal side provided by an embodiment of the present application, or implement a method for determining a reference signal on a network side device side provided by an embodiment of the present application.

In a twelfth aspect, a computer program/program product is provided, which is stored in a storage medium, and which is executed by at least one processor to implement the steps of the method for determining a reference signal on a terminal side as provided by the embodiment of the present application, or which is executed by at least one processor to implement the steps of the method for determining a reference signal on a network side as provided by the embodiment of the present application.

In the embodiment of the application, a terminal determines at least one of a first CSI-RS, a second CSI-RS and a third CSI-RS, wherein the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring the channel prediction performance of the terminal. Thus, the CSI-RS transmitted between the communication devices can be supported for multiple purposes, and the transmission performance between the communication devices is improved.

Drawings

Fig. 1 is a block diagram of a wireless communication system to which embodiments of the present application are applicable;

Fig. 2 is a flowchart of a reference signal determining method according to an embodiment of the present application;

FIG. 3 is a flowchart of another reference signal determination method according to an embodiment of the present application;

fig. 4 is a block diagram of a reference signal determining apparatus according to an embodiment of the present application;

fig. 5 is a block diagram of another reference signal determining apparatus according to an embodiment of the present application;

fig. 6 is a block diagram of a communication device according to an embodiment of the present application;

Fig. 7 is a block diagram of a terminal according to an embodiment of the present application;

Fig. 8 is a block diagram of a network side device according to an embodiment of the present application.

Detailed Description

The technical solutions of the embodiments of the present application will be clearly described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which are derived by a person skilled in the art based on the embodiments of the application, fall within the scope of protection of the application.

The terms first, second and the like in the description and in the claims, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or otherwise described herein, and that the "first" and "second" distinguishing between objects generally are not limited in number to the extent that the first object may, for example, be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/" generally means a relationship in which the associated object is an "or" before and after.

It should be noted that the techniques described in the embodiments of the present application are not limited to long term evolution (Long Term Evolution, LTE)/LTE evolution (LTE-Advanced, LTE-a) systems, but may also be used in other wireless communication systems, such as code division multiple access (Code Division Multiple Access, CDMA), time division multiple access (Time Division Multiple Access, TDMA), frequency division multiple access (Frequency Division Multiple Access, FDMA), orthogonal frequency division multiple access (Orthogonal Frequency Division Multiple Access, OFDMA), single carrier frequency division multiple access (Single-carrier Frequency Division Multiple Access, SC-FDMA), and other systems. The terms "system" and "network" in embodiments of the application are often used interchangeably, and the techniques described may be used for both the above-mentioned systems and radio technologies, as well as other systems and radio technologies. The following description describes a New Radio (NR) system for exemplary purposes and NR terminology is used in much of the following description, but these techniques may also be applied to applications other than NR system applications, such as 6 th Generation (6G) communication systems.

Fig. 1 shows a block diagram of a wireless communication system to which an embodiment of the present application is applicable. The wireless communication system includes a terminal 11 and a network device 12. The terminal 11 may be a Mobile phone, a tablet Computer (Tablet Personal Computer), a Laptop (Laptop Computer) or a terminal-side device called a notebook, a Personal digital assistant (Personal DIGITAL ASSISTANT, PDA), a palm Computer, a netbook, an ultra-Mobile Personal Computer (ultra-Mobile Personal Computer, UMPC), a Mobile internet appliance (Mobile INTERNET DEVICE, MID), an augmented reality (augmented reality, AR)/Virtual Reality (VR) device, a robot, a wearable device (Wearable Device), a vehicle-mounted device (VUE), a pedestrian terminal (PUE), a smart home (home device with a wireless communication function, such as a refrigerator, a television, a washing machine, a furniture, etc.), a game machine, a Personal Computer (Personal Computer, a PC), a teller machine, or a self-service machine, etc., and the wearable device includes: intelligent wrist-watch, intelligent bracelet, intelligent earphone, intelligent glasses, intelligent ornament (intelligent bracelet, intelligent ring, intelligent necklace, intelligent anklet, intelligent foot chain etc.), intelligent wrist strap, intelligent clothing etc.. It should be noted that the specific type of the terminal 11 is not limited in the embodiment of the present application. The network-side device 12 may include an access network device or a core network device, where the access network device may also be referred to as a radio access network device, a radio access network (Radio Access Network, RAN), a radio access network function, or a radio access network element. The access network device may include a base station, a WLAN access Point, a WiFi node, or the like, where the base station may be referred to as a node B, an evolved node B (eNB), an access Point, a base transceiver station (Base Transceiver Station, BTS), a radio base station, a radio transceiver, a Basic service set (Basic SERVICE SET, BSS), an Extended service set (Extended SERVICE SET, ESS), a home node B, a home evolved node B, a transmission and reception Point (TRANSMITTING RECEIVING Point, TRP), or some other suitable term in the art, and the base station is not limited to a specific technical vocabulary so long as the same technical effect is achieved, and it should be noted that, in the embodiment of the present application, only the base station in the NR system is described by way of example, and the specific type of the base station is not limited. The core network device may include, but is not limited to, at least one of: core network nodes, core network functions, mobility management entities (Mobility MANAGEMENT ENTITY, MME), access Mobility management functions (ACCESS AND Mobility Management Function, AMF), session management functions (Session Management Function, SMF), user plane functions (User Plane Function, UPF), policy control functions (Policy Control Function, PCF), policy and Charging Rules Function (PCRF), edge application service discovery functions (Edge Application Server Discovery Function, EASDF), unified data management (Unified DATA MANAGEMENT, UDM), unified data warehousing (Unified Data Repository, UDR), home subscriber server (Home Subscriber Server, HSS), centralized network configuration (Centralized network configuration, CNC), network storage functions (Network Repository Function, NRF), network opening functions (Network Exposure Function, NEF), local NEF (Local NEF, or L-NEF), binding support functions (Binding Support Function, BSF), application functions (Application Function, AF), and the like. It should be noted that, in the embodiment of the present application, only the core network device in the NR system is described as an example, and the specific type of the core network device is not limited.

The reference signal determining method, the terminal and the network side device provided by the embodiment of the application are described in detail below through some embodiments and application scenes thereof with reference to the accompanying drawings.

Referring to fig. 2, fig. 2 is a flowchart of a reference signal determining method according to an embodiment of the present application, as shown in fig. 2, including the following steps:

Step 201, a terminal determines at least one of a first CSI-RS, a second CSI-RS and a third CSI-RS, wherein the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring channel prediction performance of the terminal.

The terminal determining the first CSI-RS may be determining the first CSI-RS for channel prediction based on at least one of network side signaling, default rules, and the like.

The first CSI-RS may be one or more CSI-RS, or one or more measurement occasions of one CSI-RS.

In some embodiments, the CSI-RS in the present disclosure may be a channel measurement CSI-RS (CSI-RS for channel measurement, CMR), or other CSI-RS, CSI-RS defined in the protocol, which is not limited.

The terminal determining the second CSI-RS may be determining the second CSI-RS for the terminal training predictive model based on at least one of network side signaling, default rules, and the like.

The second CSI-RS may be one or more CSI-RS, or one or more measurement occasions of one CSI-RS.

The second CSI-RS being used to train the predictive model may be understood as the terminal training the predictive model based on the second CSI-RS.

The above-mentioned prediction model may be a prediction model for predicting a channel, for example: an artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) network or an Auto Regression (AR) network, or a predictive filter, or a predictive algorithm.

The second CSI-RS may be used to train the prediction model, the second CSI-RS may be used to train the AI network model, the second CSI-RS may be used to train the prediction filter, the second CSI-RS may be used to train the AR coefficients, or the second CSI-RS may be used to predict the algorithm.

The above-mentioned terminal determining the third CSI-RS may be determining the third CSI-RS for monitoring channel prediction performance of the terminal based on at least one of network side signaling, default rules, and the like.

The third CSI-RS may be one or more CSI-RS, or one or more measurement occasions of one CSI-RS.

The third CSI-RS may be used to monitor the channel prediction performance of the terminal, which may be understood as monitoring or checking the channel prediction performance of the terminal based on the channel prediction result of the third CSI-RS, for example: and checking the channel acquired by the third CSI-RS with the previous predicted channel result to monitor the channel prediction performance of the terminal.

In addition, the first CSI-RS, the second CSI-RS, and the third CSI-RS may be CSI-RS sent by a terminal receiving network side device, and in some embodiments, the first CSI-RS, the second CSI-RS, and the third CSI-RS may also be CSI-RS sent by other terminals received by the terminal.

In the embodiment of the application, the CSI-RS transmitted between the communication devices can be supported for multiple purposes, so that the transmission performance between the communication devices is improved.

In some embodiments, the method may further include the terminal predicting a channel at a future time based on the channel acquired by the first CSI-RS, and in addition, predicting a channel at a future time based on the channel acquired by the first CSI-RS and a trained prediction model.

In addition, the method may further include at least one of:

Training the predictive model based on the second CSI-RS, for example: training a predictive filter coefficient and an AI network based on the second CSI-RS;

And monitoring or checking the channel prediction performance of the terminal based on the third CSI-RS, for example: and acquiring a channel based on the third CSI-RS, and comparing the acquired channel with the previous prediction result to acquire the channel prediction performance of the terminal.

In addition, the prediction performance can be fed back to the network side equipment, so that the network can be conveniently optimized for measurement configuration.

In this embodiment, the prediction model is trained based on the second CSI-RS, so that parameters in the prediction model are more accurate, and the prediction performance of the terminal is further improved.

As an optional implementation manner, at least two of the first CSI-RS, the second CSI-RS and the third CSI-RS are signals of the same CSI-RS at different measurement occasions;

Or alternatively

At least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS are different CSI-RS.

Wherein the at least two items are the same CMS, and the network issues one CSI-RS configuration, and at least two items of the first CSI-RS, the second CSI-RS, and the third CSI-RS are obtained based on the one configuration. The at least two items may be different CSI-RSs, where the network issues a plurality of configurations, and the different CSI-RSs are CSI-RSs obtained according to different configurations.

In addition, the signals of the first CSI-RS, the second CSI-RS, and the third CSI-RS that are at different measurement occasions by at least two of the same CSI-RS may be understood as at least one of the following:

The first CSI-RS and the second CSI-RS are signals of the same CSI-RS at different measurement occasions;

the first CSI-RS and the third CSI-RS are signals of the same CSI-RS at different measurement occasions;

The second CSI-RS and the third CSI-RS are signals of the same CSI-RS at different measurement occasions;

The first CSI-RS, the second CSI-RS and the third CSI-RS are signals of the same CSI-RS at different measurement occasions.

The first CSI-RS may be one of the signals at one or more measurement timings, the second CSI-RS may be one of the signals at one or more measurement timings, and the third CSI-RS may be one of the signals at one or more measurement timings.

Because at least two of the first CSI-RS, the second CSI-RS and the third CSI-RS are signals of the same CSI-RS at different measurement occasions, channel prediction can be achieved through the same signal, a prediction model is trained and/or the terminal prediction performance is supervised, and therefore other signals are not required to be introduced, and complexity is reduced. For example: training of the prediction model, predicting the channel and monitoring the terminal prediction performance may be done based on multiple measurement occasions of one CSI-RS.

At least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS are different CSI-RS, which may be understood as at least one of the following:

the first CSI-RS and the second CSI-RS are the same CSI-RS and different CSI-RSs;

the first CSI-RS and the third CSI-RS are the same CSI-RS and different CSI-RSs;

The second CSI-RS and the third CSI-RS are the same CSI-RS and different CSI-RSs;

The first CSI-RS, the second CSI-RS, and the third CSI-RS are different CSI-RS.

Therefore, the prediction model, the prediction channel and the prediction performance of the monitoring terminal can be trained through different CSI-RSs, and the configuration of the network can be more flexible.

Optionally, in a case that at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS are signals of the same CSI-RS at different measurement occasions: the same CSI-RS is a periodical CSI-RS configured or activated by a network, or the same CSI-RS is a semi-continuous CSI-RS configured or activated by the network, or the same CSI-RS is a non-periodical CSI-RS configured by the network and repeatedly transmitted.

The periodic CSI-RS configured or activated by the same CSI-RS may be different measurement occasions when at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS are the periodic CSI-RS, for example: the first CSI-RS and the second CSI-RS are different measurement occasions of the same periodic CSI-RS, and for example, the first CSI-RS and the third CSI-RS are different measurement occasions of the same periodic CSI-RS.

The semi-persistent CSI-RS configured or activated by the same CSI-RS may be different measurement occasions when at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS are the semi-persistent CSI-RS, for example: the first CSI-RS and the second CSI-RS are different measurement occasions of the same semi-persistent CSI-RS, and for example, the first CSI-RS and the third CSI-RS are different measurement occasions of the same semi-persistent CSI-RS.

The aperiodic CSI-RS configured by the same CSI-RS as the network may be different measurement occasions of the aperiodic CSI-RS configured by the same CSI-RS as the network, where at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS are repeated, for example: the first CSI-RS and the second CSI-RS are different measurement occasions of the aperiodic CSI-RS that are repeatedly transmitted, and for example, the first CSI-RS and the third CSI-RS are different measurement occasions of the aperiodic CSI-RS that are repeatedly transmitted.

Optionally, in a case that at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS are different CSI-RS: at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS belong to different CSI-RS in the same CSI-RS set, or at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS belong to different CSI-RS sets.

In the embodiment of the present application, the CSI-RS belongs to the CSI-RS set, which may be understood that the CSI-RS is associated with or configured in the CSI-RS set.

At least two of the first CSI-RS, the second CSI-RS and the third CSI-RS belong to different CSI-RS in the same CSI-RS set, which may be understood as at least one of the following:

the first CSI-RS and the second CSI-RS are associated to one CSI-RS set;

the first CSI-RS and the third CSI-RS are associated to one CSI-RS set;

The second CSI-RS and the third CSI-RS are associated to one CSI-RS set;

The first CSI-RS, the second CSI-RS, and the third CSI-RS are associated into one CSI-RS set.

At least two of the first CSI-RS, the second CSI-RS and the third CSI-RS belong to different CSI-RS sets to be understood as at least one of:

the first CSI-RS and the second CSI-RS are associated to two CSI-RS sets;

the first CSI-RS and the third CSI-RS are associated to two CSI-RS sets;

the second CSI-RS and the third CSI-RS are associated to two CSI-RS sets;

The first CSI-RS, the second CSI-RS, and the third CSI-RS are associated into three CSI-RS sets.

Optionally, in case that at least two of the first CSI-RS, the second CSI-RS and the third CSI-RS belong to different CSI-RS in the same CSI-RS set, at least one of the following features exists:

The same CSI-RS set is a periodical CSI-RS set which is configured or activated by a network, or the same CSI-RS set is a semi-continuous CSI-RS set which is configured or activated by the network, or the same CSI-RS set is a non-periodical CSI-RS set which is configured or activated by the network;

At least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS have the same transmission configuration indication (Transmission Configuration Indicator, TCI) information or quasi co-sited information;

At least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS have different frequency domain densities;

at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS have different bandwidths;

at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS have different port configurations.

The same CSI-RS set is a periodic, semi-persistent or aperiodic CSI-RS set, which may enable at least two of the first CSI-RS, the second CSI-RS and the third CSI-RS to be associated to the same periodic, semi-persistent or aperiodic CSI-RS set.

In the case that the at least two items have different frequency domain densities, if the second CSI-RS and the first CSI-RS or the third CSI-RS belong to different CSI-RS in the same CSI-RS set, the second CSI-RS may have a smaller frequency domain density, which is used for training of the prediction model.

In the case that the at least two items have different bandwidths, if the second CSI-RS and the first CSI-RS or the third CSI-RS belong to different CSI-RS in the same CSI-RS set, the second CSI-RS may have a smaller bandwidth, so that the second CSI-RS may be used for training of a prediction model.

The second CSI-RS belongs to one CSI-RS set, the first CSI-RS and the third CSI-RS belong to another CSI-RS set, the third CSI-RS belong to one CSI-RS set, the first CSI-RS and the second CSI-RS belong to another CSI-RS set, or the first CSI-RS, the first CSI-RS and the third CSI-RS respectively belong to different CSI-RS sets;

among a plurality of CSI-RS sets associated with the first CSI-RS, the second CSI-RS and the third CSI-RS, different CSI-RS sets have different time domain characteristics;

among a plurality of CSI-RS sets associated with the first CSI-RS, the second CSI-RS and the third CSI-RS, different CSI-RS sets have different frequency domain densities;

Among a plurality of CSI-RS sets associated with the first CSI-RS, the second CSI-RS and the third CSI-RS, different CSI-RS sets have different bandwidths;

Among the multiple CSI-RS sets associated with the first CSI-RS, the second CSI-RS, and the third CSI-RS, different CSI-RS sets have different port configurations.

In this embodiment, it may be achieved that the prediction model training is associated to one CSI-RS set, the prediction channel and the monitoring prediction performance are associated to another CSI-RS set; or the prediction model training, channel prediction and monitoring prediction performances are respectively associated to different CSI-RS sets; or the prediction model training and the channel prediction are associated with one set of CSI-RSs, and the monitoring prediction performance is associated with the other set of CSI-RSs.

The different CSI-RS sets may have different time domain characteristics, and the different CSI-RS sets may have different periodic, aperiodic, or semi-persistent characteristics.

The different CSI-RS sets have different frequency domain densities, and if the second CSI-RS and the first CSI-RS or the third CSI-RS are associated to different CSI-RS sets, the CSI-RS set to which the second CSI-RS is associated has a smaller frequency domain density, so that the second CSI-RS and the first CSI-RS or the third CSI-RS are utilized for training of the prediction model.

The different CSI-RS sets have different bandwidths, and if the second CSI-RS and the first CSI-RS or the third CSI-RS are associated to different CSI-RS sets, the CSI-RS set to which the second CSI-RS is associated has a smaller bandwidth, so that the method is used for training a prediction model.

In some embodiments, the port configuration for the first CSI-RS, the second CSI-RS, and the third CSI-RS may be the same for the same prediction channel association process.

Optionally, in the case that the time domain characteristics of the CSI-RS sets associated with the first CSI-RS, the second CSI-RS, and the third CSI-RS are aperiodic:

The time domain offset of each CSI-RS in the first, second and third CSI-RS associated CSI-RS sets is determined by at least one of:

Network signaling, default rules.

The network signaling may be higher layer signaling, the default rule may be a pre-configured rule or a protocol convention, the time domain offset may be a slot offset, a symbol offset, a sub-slot offset, or the like, and the time domain offset may be an offset with respect to a time domain position of a trigger signaling that triggers the CSI-RS set, such as a time domain position with respect to downlink control information (Downlink Control Information, DCI) that triggers the CSI-RS set, or the time domain offset may be an offset with respect to a specific reference time domain position, which is not limited in particular.

For example: the network side indicates a time slot offset value n for the CSI-RS set through network signaling, wherein the time slot offset value associated with the first CSI-RS in the CSI-RS set is n, the time slot offset value of the second CSI-RS is n+m, the time slot offset value of the third CSI-RS is n+2*m, and so on. Where the value of m may be a default rule, e.g. 1. Or the value of m is a network indication.

Also for example: the network side indicates a time slot offset value n for the CSI-RS set through network signaling, wherein the time slot offset value associated with the CSI-RS with the smallest CSI-RS ID in the CSI-RS set is n, the time slot offset value of the CSI-RS with the second smallest CSI-RS ID is n+m, the time slot offset value of the CSI-RS with the third smallest CSI-RS ID is n+2*m, and so on. Where the value of m may be a default rule, e.g. 1, or the value of m is a network indication.

As an alternative embodiment, the method further comprises:

the terminal sends feedback information to the network side equipment, wherein the feedback information is used for indicating at least one of the following:

the terminal trains the demand of the prediction model;

The terminal predicts the channel requirements.

The requirement of the terminal for training the prediction model may be a requirement of the terminal for training an AI network model, a requirement of the terminal for training a prediction filter, a requirement of the terminal for training an AR coefficient, a requirement of training a prediction algorithm, or the like.

In addition, the above requirements may be a measurement occasion number requirement, a time domain density requirement, a CSI-RS number requirement.

For example: the requirements of the terminal training prediction model may include at least one of the following:

Training the required number of measurement opportunities of the predictive model;

training the number of required domain resources of the predictive model;

Training a desired domain density of the predictive model;

training a required number of CSI-RS for the predictive model;

The above-mentioned terminal predicted channel requirement may include at least one of the following:

predicting a required number of measurement occasions for the channel;

Predicting the number of required domain resources of the channel;

Predicting a required domain density of a channel;

The required CSI-RS number of the channel is predicted.

For example: the terminal feeds back at least one of the number of measurement occasions, the number of measurement slots, the number of measurement symbols, and the time domain density required for the training process and/or the prediction process.

Optionally, the requirements of the terminal for training the prediction model include at least one of the following:

under at least one CSI-RS configuration, the terminal trains the requirements of the predictive model;

under at least one time domain channel characteristic, the terminal trains the demand of the prediction model;

the terminal predicting the channel requirement includes:

under at least one CSI-RS configuration, the terminal predicts the requirement of a channel;

the terminal predicts a channel requirement under at least one time domain channel characteristic.

The CSI-RS configuration may be at least one of a periodic configuration, a port configuration, and a frequency domain density configuration.

In this embodiment, the terminal may feed back the number of measurement occasions, the number of measurement slots, or the number of measurement symbols required for the training process and/or the prediction process in the multiple period configurations, the multiple port configurations, and the multiple frequency domain density configurations.

In this embodiment, the terminal may feed back at least one of the number of measurement occasions, the number of measurement slots, the number of measurement symbols, the time domain density, the frequency domain density, and the frequency domain bandwidth required for the training process and/or the prediction process under a plurality of different time domain channel characteristics.

In some embodiments, the demand or quantity is a minimum demand or minimum quantity.

In some embodiments, the network side device may obtain, according to the time domain channel characteristic condition fed back by the terminal, a requirement of the terminal for training and/or prediction. In addition, for configurations that do not meet the requirements, the terminal may not feed back or update the corresponding predicted channel information, such as CSI.

Optionally, the requirements of the terminal for training the prediction model include: the terminal trains the minimum requirement of the prediction model;

The terminal predicting the channel requirement includes: the terminal predicts the minimum requirements of the channel.

The minimum requirement of the terminal training prediction model may be the required minimum measurement time number, the required minimum time domain resource number, the required minimum time domain density, and the required minimum CSI-RS number of the terminal training prediction model, that is, the prediction model training may be completed when the minimum requirement is satisfied, but the network may be configured with more configurations than the minimum requirement.

The minimum requirement of the terminal for predicting the channel may be the minimum measurement time, the minimum time domain resource, the minimum time domain density, and the minimum CSI-RS, that is, the minimum requirement is satisfied, so that the channel prediction may be completed, but the network may be configured with more configurations than the minimum requirement.

In this embodiment, the resource allocation can be saved by the above minimum requirement, for example: the network side equipment can configure the minimum requirement for the terminal under the condition of resource shortage, and can configure more resources than the minimum requirement under the condition of loose resources, so that the terminal can better complete channel prediction, prediction model training and prediction performance monitoring.

In some embodiments, the requirements of the terminal training prediction model may include at least one of:

Training a minimum requirement for a number of measurement opportunities of the predictive model;

Training the minimum requirement of the time domain resource quantity of the prediction model;

training the minimum demand degree of the time domain density of the prediction model;

training a minimum requirement for the number of CSI-RS of the predictive model;

predicting a minimum requirement for a number of measurement occasions of the channel;

predicting a minimum requirement for the amount of time domain resources of the channel;

predicting a minimum requirement of a time domain density of the channel;

The minimum requirement for the CSI-RS number of the channel is predicted.

In some embodiments, the requirements of the terminal to train the predictive model may include at least one of:

under at least one CSI-RS configuration, the terminal trains a minimum requirement of the predictive model;

under at least one time domain channel characteristic, the terminal trains the minimum requirement of the prediction model;

the terminal predicting the channel requirement may include:

under at least one CSI-RS configuration, the terminal predicts the minimum requirement of a channel;

The terminal predicts a minimum requirement for a channel under at least one time domain channel characteristic.

Optionally, in a case that the resource trained by the prediction model does not reach the requirement of the terminal for training the prediction model:

The terminal reports channel information which is not predicted based on the prediction model to the network side equipment, or the terminal does not report the channel information;

Or alternatively

In case the resources of the network configured prediction channel are in the training period of the terminal training the prediction model:

and the terminal reports the channel information which is not predicted based on the prediction model to the network side equipment, or the terminal does not report the channel information.

The resource trained by the prediction model may not meet the requirement of the terminal for training the prediction model, where at least one of the number of measurement occasions, the number of time domain resources, the time domain density, and the number of CSI-RS does not meet the corresponding requirement.

The training period of the terminal training the prediction model may be that the resources of the network-configured prediction channel overlap with the training period of the terminal training the prediction model.

In the above embodiment, the first CSI-RS and the second CSI-RS may be the same CSI-RS.

In this embodiment, the configuration may be implemented in a manner that the terminal may not feedback channel information, such as CSI, or feedback channel information that is not predicted based on the prediction model, such as channel information that is predicted based on other means, for the configuration that does not meet the requirements. In some embodiments, when the resources trained by the prediction model do not meet the requirements of the terminal training prediction model or the resources of the network configured prediction channel do not meet the requirements of the terminal prediction channel, the channel information may not be fed back or the corresponding predicted channel information may not be updated.

The channel information reporting performance of the terminal can be improved by reporting channel information which is not predicted based on the prediction model.

In some embodiments, when training and prediction are completed through one CSI-RS, if the number of training occasions does not meet the requirement that the terminal complete training, the terminal may only feed back non-predicted channel state information, specifically, channel state information that is not predicted based on the prediction model. That is, during the training process, the network may configure non-predictive channel state information feedback; or if the predicted channel state information feedback of the network configuration is during training, the terminal may feed back non-predicted channel state information or not feed back or not update.

As an optional implementation manner, in a case where the first CSI-RS and the second CSI-RS are the same CSI-RS, the terminal determines the same CSI-RS by at least one of:

Network signaling, default rules.

In the embodiment, the prediction model training and the channel prediction can be realized through one CSI-RS, so that the signal overhead of the prediction model training and the channel prediction can be reduced.

The network signaling indicates that the CSI-RS is used for both predictive model training and channel prediction, or the default rule that the CSI-RS is used for both predictive model training and channel prediction, for example: when one CSI-RS is configured, the terminal defaults to the CSI-RS for both predictive model training and channel prediction, and when one CSI-RS of a particular configuration or particular resource is configured, the terminal defaults to the CSI-RS for both predictive model training and channel prediction.

As an alternative embodiment, in the case that the first CSI-RS and the second CSI-RS belong to different CSI-RS in the same CSI-RS set:

The same CSI-RS set comprises two CSI-RS subsets, wherein the CSI-RS in one of the two CSI-RS subsets comprises the first CSI-RS, and the CSI-RS in the other CSI-RS subset comprises the second CSI-RS; or alternatively

N CSI-RSs in the same CSI-RS set are the first CSI-RSs, the rest CSI-RSs are the second CSI-RSs, and N is the number of time domain units.

In some embodiments, the N may be the number of time domain units indicated by the codebook configuration signaling by the network, or may be defined by other signaling or protocols.

The foregoing first CSI-RS and the second CSI-RS may belong to different CSI-RS in the same CSI-RS set, and the channel prediction and the prediction model training may be performed by multiple CSI-RS, where the multiple CSI-RS are associated with or configured in one CSI-RS set.

The N CSI-RS may be N CSI-RS determined by the number N of time domain units indicated by the codebook configuration signaling, and the remaining CSI-RS may be the second CSI-RS, and CSI-RS other than the N CSI-RS in the CSI-RS set may be used as the second CSI-RS.

In some embodiments, the time domain offsets of the N CSI-RS may be greater than the time domain offsets of the remaining CSI-RS. In this way, N CSI-RSs with larger time domain offset in the CSI-RS set can be used for channel prediction, and the rest CSI-RSs are used for prediction model training, so that the prediction model training based on the CSI-RSs with earlier time domain positions can be realized, and channel information can be predicted based on the trained prediction model, so that the prediction accuracy of the channel information can be improved.

Optionally, the two CSI-RS subsets have at least one of the following features:

the terminal does not expect a time domain offset of a CSI-RS subset including the second CSI-RS to be greater than a time domain offset of a CSI-RS subset of the first CSI-RS;

The two CSI-RS subsets are partitioned by at least one of: network signaling, time domain offset.

The time domain offset of the CSI-RS subset including the second CSI-RS not expected by the terminal to be greater than the time domain offset of the CSI-RS subset including the first CSI-RS may be that the time domain offset of the CSI-RS not expected by the terminal to be used for prediction model training is greater than the time domain offset of the CSI-RS used for channel prediction, and if this occurs, the terminal does not perform the channel prediction process, that is, does not feed back the corresponding channel information, so that the terminal can be prevented from feeding back inaccurate channel information.

The dividing of the two CSI-RS subsets by at least one of network signaling and time domain offset may be that the network signaling explicitly indicates the CSI-RS subset used for prediction model training and indicates the CSI-RS subset used for channel prediction, or that the default first subset is used for prediction model training and the second subset is used for channel prediction. Network signaling implicitly indicates the CSI-RS subset for predictive model training and implicitly indicates the CSI-RS subset for channel prediction

Optionally, the sum of the time domain offsets of all CSI-RS in the CSI-RS subset corresponding to the second CSI-RS is smaller than the sum of the time domain offsets of all CSI-RS in the CSI-RS subset corresponding to the first CSI-RS; or alternatively, the first and second heat exchangers may be,

The time domain offset of each CSI-RS in the CSI-RS subset corresponding to the second CSI-RS is smaller than the time domain offset of each CSI-RS in the CSI-RS subset corresponding to the first CSI-RS; or alternatively, the first and second heat exchangers may be,

The CSI-RS subset corresponding to the second CSI-RS is a subset to which the CSI-RS with the smallest time domain offset belongs; or alternatively, the first and second heat exchangers may be,

And the CSI-RS subset corresponding to the first CSI-RS is a subset to which the CSI-RS with the largest time domain offset belongs.

For example: in case the two CSI-RS subsets may be divided by a time domain offset:

And the CSI-RS in the CSI-RS subset with smaller time domain offset is the second CSI-RS, and the CSI-RS in the CSI-RS subset with larger time domain offset is the first CSI-RS.

Or the terminal acquires a reference time slot, wherein the CSI-RS which is larger than or equal to the reference time slot is the first CSI-RS, and the CSI-RS which is smaller than or equal to the reference time slot is the second CSI-RS.

The smaller time domain offset refers to that the sum of the time domain offsets of all the CSI-RSs in the CSI-RS subset is smaller, or the CSI-RS subset with smaller time domain offset refers to the subset of the CSI-RSs with the smallest time domain offset in the CSI-RS set;

The larger time domain offset refers to that the sum of time domain offsets of all the CSI-RSs in the CSI-RS subset is larger, or the CSI-RS subset with the larger time domain offset refers to the subset of the CSI-RSs with the largest time domain offset in the CSI-RS set.

In this embodiment, since the CSI-RS subset with smaller time domain offset includes the second CSI-RS, it is possible to implement prediction model training by the terminal based on the earlier CSI-RS in the CSI-RS set, so that it is possible to implement prediction of channel information based on the trained prediction model, so as to improve prediction accuracy of the channel information.

As an alternative embodiment, in case the first CSI-RS and the second CSI-RS belong to different CSI-RS sets:

The terminal determines a first CSI-RS set including the first CSI-RS and a second CSI-RS set including the second CSI-RS by at least one of:

network signaling, time domain offset, set identification, time domain characteristics.

The network signaling may explicitly indicate a CSI-RS for predictive model training and a CSI-RS set for channel prediction.

In addition, in this embodiment, the terminal does not expect that the time domain offset of the CSI-RS used for the prediction model training is greater than that of the CSI-RS used for the channel prediction, and if it occurs, the terminal does not perform the channel prediction process and does not feed back the corresponding channel information.

The determining, by time domain offset, the first CSI-RS set and the second CSI-RS set may be that a CSI-RS set associated with a CSI-RS with a smaller time domain offset by a default of the terminal is the second CSI-RS set, that is, a CSI-RS set associated with a CSI-RS with a smaller time domain offset by a default of the terminal is used for prediction model training, and a CSI-RS set associated with a CSI-RS with a larger time domain offset is the first CSI-RS set, that is, a CSI-RS set associated with a CSI-RS with a larger time domain offset is used for channel prediction.

The determining the first CSI-RS set and the second CSI-RS set by the time domain offset may be that the terminal distinguishes the first CSI-RS set and the second CSI-RS set by CSI-RS set identification, for example: the CSI-RS set with smaller set identification is the second CSI-RS set, namely the CSI-RS set with the set identification is used for prediction model training, and the CSI-RS set with larger set ID is the first CSI-RS set, namely the CSI-RS set with the set identification is used for channel prediction.

The determining the first CSI-RS set and the second CSI-RS set by the time domain characteristics may be that the terminal distinguishes the first CSI-RS set and the second CSI-RS set by the time domain characteristics of the CSI-RS set, for example: the set of periodic or semi-continuous CSI-RS is used for prediction model training, namely the second CSI-RS set, and the set of non-periodic CSI-RS is used for channel prediction, namely the first CSI-RS set.

In some embodiments, the first CSI-RS set and the second CSI-RS set are two CSI-RS sets with association relationship, for example: the network side indicates that 2 CSI-RS sets with association relation of the terminal are respectively used for prediction model training and channel prediction.

Optionally, the first CSI-RS set and the second CSI-RS set are two CSI-RS sets corresponding to the same CSI report configuration; or alternatively

The first CSI-RS set and the second CSI-RS set are two CSI-RS sets corresponding to two CSI report configurations, and the two CSI report configurations have an association relationship; or alternatively

The first CSI-RS set is a CSI-RS set corresponding to a first CSI report configuration, and the second CSI-RS set is a CSI-RS set corresponding to a second CSI report configuration; wherein, in the case that the first CSI reporting configuration corresponds to a plurality of CSI-RS sets, the first CSI-RS set is a CSI-RS set having the same TCI as the second CSI-RS set in the plurality of CSI-RS sets; or in the case that the second CSI report configuration corresponds to a plurality of CSI-RS sets, the second CSI-RS set is a CSI-RS set having the same TCI or Quasi co-location (QCL) as the first CSI-RS set in the plurality of CSI-RS sets; or alternatively

The first CSI-RS set and the second CSI-RS set are two CSI-RS sets with the same TCI or QCL in multiple CSI-RS sets configured or activated by a network.

The CSI reporting configuration may be a network side configuration or an active CSI reporting configuration. The CSI-RS set corresponding to the CSI reporting configuration may be a CSI-RS set associated with or configured by the CSI reporting configuration.

For example: the network configures or activates one CSI reporting configuration, which associates 2 CSI-RS sets for predictive model training and channel prediction, respectively, namely the above-mentioned second CSI-RS set and first CSI-RS set.

The first CSI report configuration and the second CSI report configuration may be 2 CSI preconfigurations having an association relationship, for example: the network side configures or activates 2 CSI report configurations, and indicates that the two CSI report configurations have an association relationship through signaling, and each CI report configuration is associated with or configures a CSI-RS set, wherein the 2 CSI-RS sets associated with the 2 report configurations are respectively used for prediction model training and channel prediction, namely the second CSI-RS set and the first CSI-RS set.

The CSI-RS sets with the same TCI may be that CSI-RS in both CSI-RS sets are associated with the same TCI. For example: the network configures or activates 2 CSI report configurations, and indicates that the two CSI report configurations have an association relationship through signaling, wherein one CSI report configuration (a first CSI report configuration or a second CSI report configuration) is associated with a plurality of CSI-RS sets, and the other reporting configuration (a second CSI report configuration or a first CSI report configuration) is associated with 1 CSI-RS set, the terminal considers that the CSI-RS set associated with the second CSI report configuration in the plurality of CSI-RS sets associated with the first CSI report configuration has the CSI-RS set with the same TCI, and has an association relationship with the CSI-RS set associated with the second CSI report configuration, so as to determine the first CRM set and the second CSI-RS set.

The CSI-RS sets with the same QCL may be that CSI-RS in both CSI-RS sets are associated with the same QCL.

The first CSI-RS set and the second CSI-RS set may be two CSI-RS sets with the same TCI or QCL, and in case that a plurality of (greater than 2) CSI-RS sets are configured or activated at the network side, the 2 CSI-RS sets with the same TCI or QCL are used for prediction model training and channel prediction, respectively.

In the embodiment, the CSI-RS for the prediction model training and the channel prediction can be determined based on the CSI report configuration, and the CSI-RS with the same TCI or QCL can be used as the CSI-RS for the prediction model training and the channel prediction, so that the CSI-RS with the same TCI and the same QCL can be used for the prediction model training and the channel prediction, and the accuracy of the channel prediction is improved.

As an optional implementation manner, the third CSI-RS and the first CSI-RS are the same periodic CSI-RS or the same semi-persistent CSI-RS; and/or the number of the groups of groups,

The third CSI-RS and the second CSI-RS are the same periodical CSI-RS or the same semi-continuous CSI-RS.

The third CSI-RS and the first CSI-RS may be the same periodic CSI-RS or the same semi-persistent CSI-RS, and the third CSI-RS and the first CSI-RS may be the same CSI-RS, and the CSI-RS are periodic or semi-persistent CSI-RS, that is, monitoring is completed by the same periodic or semi-persistent CSI-RS as the prediction.

At least one of the above and/or the following:

The third CSI-RS and the first CSI-RS are the same periodical CSI-RS or the same semi-continuous CSI-RS;

The third CSI-RS and the second CSI-RS are the same periodical CSI-RS or the same semi-continuous CSI-RS;

The third CSI-RS, the second CSI-RS and the first CSI-RS are the same periodical CSI-RS or the same semi-persistent CSI-RS.

In addition, the relationship among the first CSI-RS, the second CSI-RS, and the third CSI-RS may be a network side indication, for example: the network side terminal indicates that a certain CSI-RS is used for monitoring in addition to predictive model training and/or channel prediction, or the relationship among the first CSI-RS, the second CSI-RS and the third CSI-RS may also be determined by default rules, for example: when one CSI-RS is configured, the terminal defaults to use the CSI-RS for both predictive model training and channel prediction, and also for monitoring.

In this embodiment, since the third CSI-RS and the second CSI-RS and/or the first CSI-RS are the same periodic CSI-RS or the same semi-persistent CSI-RS, configuration overhead of the CSI-RS may be saved.

As an alternative embodiment, in the case that the first CSI-RS and the third CSI-RS belong to different CSI-RS in the same CSI-RS set:

the same CSI-RS set comprises two CSI-RS subsets, wherein the CSI-RS in one of the two CSI-RS subsets is the first CSI-RS, and the CSI-RS in the other CSI-RS subset is the third CSI-RS.

The above-mentioned first CSI-RS and the third CSI-RS belonging to different CSI-RS in the same CSI-RS set may include:

the first CSI-RS and the third CSI-RS belong to different CSI-RSs in the same CSI-RS set, and the second CSI-RS does not belong to the CSI-RS set; or alternatively

The first CSI-RS, the second CSI-RS and the third CSI-RS belong to different CSI-RSs in the same CSI-RS set.

The same CSI-RS set may include two CSI-RS subsets, and the same CSI-RS set includes at least two CSI-RS subsets, for example: when the first CSI-RS, the second CSI-RS and the third CSI-RS belong to different CSI-RS in the same CSI-RS set, the CSI-RS set includes 3 CSI-RS subsets, and the 3 CSI-RS subsets include the first CSI-RS, the second CSI-RS and the third CSI-RS, respectively.

In this embodiment, it may be achieved that the first CSI-RS and the third CSI-RS belong to the same CSI-RS set, so that CSI-RS set configuration overhead may be saved.

Optionally, the time domain positions of CSI-RS in the CSI-RS subset associated with the third CSI-RS are both later than or equal to the CSI reference time domain position or the CSI reporting time domain position; and/or

The two CSI-RS subsets are partitioned by at least one of: network signaling, default rules, time domain offsets.

The time domain positions of the CSI-RS in the CSI-RS subset associated with the third CSI-RS are both later than or equal to the CSI reference time domain position or the CSI reporting time domain position, which may be that the time slots associated with the time domain positions of the CSI-RS in the CSI-RS subset associated with the third CSI-RS are both greater than or equal to the time slots associated with the CSI reference time domain position or the time slots associated with the CSI reporting time domain position, that is, the time domain positions of the CSI-RS in the CSI-RS subset which the terminal does not expect to include the third CSI-RS are earlier than the CSI reference time domain position or the CSI reporting time domain position, or the time slots of the third CSI-RS which the terminal does not expect to appear for monitoring are both less than the CSI reference time slots or the CSI reporting time slots, if they appear, the terminal does not execute the monitoring process.

The network signaling is used for dividing the CSI-RS set into multiple CSI-RS subsets, and explicitly indicating the CSI-RS subsets used for monitoring, and may also indicate the CSI-RS subsets used for channel prediction.

The default rule may be a subset of CSI-RS that is default for monitoring, for example: the first is used for channel prediction when the CSI-RS set has two subsets, the second is used for monitoring, and the first is used for prediction model training when the CSI-RS set has 3 subsets, the second is used for channel prediction, and the third is used for monitoring.

The time domain offset may be, for example, determining the two CSI-RS subsets by a location of the time domain offset: when the time slot associated with the CSI-RS is larger than the CSI reference time slot or the CSI report time slot, determining a third CSI-RS for monitoring prediction performance by the CSI-RS, further determining a CSI-RS subset to which the third CSI-RS belongs, determining the rest of the CSI-RSs as the first CSI-RSs for channel prediction, and further determining the CSI-RS subset to which the first CSI-RS belongs.

As an alternative embodiment, in case the first CSI-RS and the third CSI-RS belong to different CSI-RS sets:

The terminal determines a first CSI-RS set including the first CSI-RS and a third CSI-RS set including the third CSI-RS by at least one of:

Network signaling, default rules, time domain offsets, set identification, time domain characteristics.

The first CSI-RS and the third CSI-RS belonging to different CSI-RS sets may include the following:

the first CSI-RS, the second CSI-RS and the third CSI-RS respectively belong to different CSI-RS sets; or alternatively

The first CSI-RS and the third CSI-RS belong to different CSI-RS sets, but a second CSI-RS set to which the second CSI-RS belongs is the same as the first CSI-RS set or the second CSI-RS set, namely, the first CSI-RS, the second CSI-RS and the third CSI-RS are associated with 2 CSI-RS sets.

The above network signaling may explicitly indicate that a CSI-RS for monitoring prediction performance exists in one of the plurality of CSI-RS sets, or explicitly indicate a first CSI-RS set including the first CSI-RS and a third CSI-RS set including the third CSI-RS.

The default rule determination may be that a CSI-RS for monitoring prediction performance exists in a CSI-RS set with a larger default time domain offset, or a CSI-RS for monitoring prediction performance exists in a CSI-RS set with a smaller default set identification.

The time domain offset determination may determine a CSI-RS set having a larger time domain offset as the CSI-RS set to which the third CSI-RS belongs, for example: and if part or all of time slots associated with the CSI-RS are larger than the CSI reference time slot or the CSI report time slot in one CSI-RS set, the terminal considers that the CSI-RS for monitoring exists in the CSI-RS set.

The above set identifier determination may be that the terminal distinguishes through CSI-RS set identifiers, for example: the CSI-RS for monitoring exists in the CSI-RS set with smaller set ID, or the CSI-RS for monitoring exists in the CSI-RS set with larger set ID.

The above time domain characteristic determination may be that the terminal distinguishes through the time domain characteristic of the CSI-RS set, for example: the periodic or semi-continuous CSI-RS sets are provided with CSI-RSs used for monitoring, or the aperiodic CSI-RSs are provided with CSI-RSs used for monitoring.

Optionally, in case that the third CSI-RS set further comprises the second CSI-RS: the third CSI-RS set is a periodic or semi-continuous CSI-RS set; or alternatively

In the case where the third CSI-RS and the second CSI-RS are the same CSI-RS: the third CSI-RS set is a periodic or semi-persistent CSI-RS set.

In this embodiment, a CSI-RS set including CSI-RS for monitoring may further include CSI-RS for channel prediction, or the CSI-RS for monitoring and the CSI-RS for channel prediction are the same CSI-RS, and the CSI-RS are periodic or semi-continuous CSI-RS, so that CSI-RS configuration overhead may be saved.

In some embodiments, the first CSI-RS set and the third CSI-RS set are two CSI-RS sets having an association relationship.

Optionally, the first CSI-RS set and the third CSI-RS set are two CSI-RS sets corresponding to the same channel state information CSI report configuration; or alternatively

The first CSI-RS set and the third CSI-RS set are two CSI-RS sets corresponding to two CSI report configurations, and the two CSI report configurations have an association relationship; or alternatively

The first CSI-RS set is a CSI-RS set corresponding to a first CSI report configuration, and the third CSI-RS set is a CSI-RS set corresponding to a third CSI report configuration; wherein, in the case that the first CSI reporting configuration corresponds to a plurality of CSI-RS sets, the first CSI-RS set is a CSI-RS set having the same TCI as the third CSI-RS set in the plurality of CSI-RS sets; or in the case that the third CSI reporting configuration corresponds to a plurality of CSI-RS sets, the third CSI-RS set is a CSI-RS set having the same TCI or QCL as the first CSI-RS set in the plurality of CSI-RS sets; or alternatively

The first CSI-RS set and the third CSI-RS set are two CSI-RS sets with the same TCI or QCL in multiple CSI-RS sets configured or activated by a network.

The association relationship between the first CSI-RS set and the third CSI-RS set is referred to the corresponding description of the association relationship between the first CSI-RS set and the second CSI-RS set in the foregoing embodiment, and is not repeated herein.

As an alternative embodiment, in a case where the first CSI-RS, the second CSI-RS, and the third CSI-RS belong to different CSI-RS sets:

The terminal determines a first CSI-RS set including the first CSI-RS, a second CSI-RS set including the second CSI-RS, and a third CSI-RS set including the third CSI-RS by at least one of:

The above network signaling may explicitly indicate at least one of a first CSI-RS set including the first CSI-RS, a second CSI-RS set including the second CSI-RS, and a third CSI-RS set including the third CSI-RS.

The default rule determination may be that CSI-RS for monitoring prediction performance exist in a CSI-RS set with a larger default time domain offset, and CSI-RS for training a prediction model exist in a CSI-RS set with a minimum default time domain offset.

The time domain offset determination may be that a CSI-RS set with a larger time domain offset is determined as a CSI-RS set to which the third CSI-RS belongs, and a CSI-RS for predictive model training exists in a CSI-RS set with a smaller or minimum default time domain offset.

The above set identifier determination may be that the terminal distinguishes through CSI-RS set identifiers, for example: the CSI-RS for monitoring exists in the CSI-RS set with smaller set ID, or the CSI-RS for prediction model training exists in the CSI-RS set with smaller set ID or the minimum CSI-RS set.

The above time domain characteristic determination may be that the terminal distinguishes through the time domain characteristic of the CSI-RS set, for example: the periodic or semi-continuous CSI-RS is in the set, or the non-periodic CSI-RS is in the set, and the CSI-RS used for predictive model training is in the set.

Optionally, the first CSI-RS set, the second CSI-RS set and the third CSI-RS set are three CSI-RS sets corresponding to the same CSI report configuration; or alternatively

The first CSI-RS set, the second CSI-RS set and the third CSI-RS set are three CSI-RS sets with the same TCI among multiple CSI-RS sets configured or activated by a network.

In this embodiment, network side configuration may be implemented or one CSI reporting configuration may be activated, where the CSI reporting configuration is associated with 3 CSI-RS sets for prediction model training, channel prediction and monitoring, respectively, so that CSI reporting configuration overhead may be saved.

In this embodiment, when multiple (greater than 3) CSI-RS sets are activated or network is used, 3 CSI-RS sets with the same TCI or QCL are used for prediction model training, channel prediction and monitoring, so that the terminal can perform prediction model training, channel prediction and monitoring based on CSI-RS with the same TCI or QCL, so as to improve prediction performance of the terminal.

As an alternative embodiment, in case the terminal predicts CSI based on a plurality of aperiodic CSI-RSs:

the time domain offset of the uplink channel is the offset relative to the time domain position corresponding to the last CSI-RS of the aperiodic CSI-RSs, and the uplink channel is the uplink channel for bearing the CSI; and/or

If a target aperiodic CSI-RS exists in the plurality of aperiodic CSI-RS, the terminal determines that a time domain resource transmitted by the target aperiodic CSI-RS is a first effective downlink time domain resource before or after a time domain resource corresponding to the target aperiodic CSI-RS indicated by a network; the time domain resource corresponding to the target aperiodic CSI-RS indicated by the network is an uplink time domain resource, or the time domain resource corresponding to the target aperiodic CSI-RS indicated by the network collides with other signals or channels (other signals/channels).

The last CSI-RS represents the CSI-RS with the largest associated slot among the plurality of aperiodic CSI-RS.

The collision between the time domain resource corresponding to the target aperiodic CSI-RS and other signals or channels may be that the time domain resource corresponding to the target aperiodic CSI-RS overlaps with the resource of other signals or channels.

In this embodiment, if the network side indicates that the terminal acquires CSI using the multiple aperiodic CSI-RS, the network side indicates or the terminal defaults to the slot offset of the uplink channel carrying the CSI to be the slot offset of the slot associated with the last CSI-RS of the multiple aperiodic CSI-RS. For example: the network side indicates a time slot offset Y associated with a Physical Uplink SHARED CHANNEL, PUSCH through DCI, the feedback time slot of the CSI report is n+Y, and at the moment, n corresponds to the time slot associated with the CSI-RS with the largest associated time slot in a plurality of aperiodic CSI-RSs.

Therefore, the time domain offset of the uplink channel is the offset corresponding to the time domain position of the last CSI-RS of the aperiodic CSI-RSs, so that the terminal can report the CSI better, and the CSI reporting performance of the terminal is improved.

The downlink domain resource may be a downlink symbol, or a downlink sub-slot, etc. The time domain resource corresponding to the target aperiodic CSI-RS may be a symbol or a sub-slot associated with the target aperiodic CSI-RS, etc. For example: the network side indicates the terminal to acquire the CSI by using a plurality of aperiodic CSI-RS, and if one of the aperiodic CSI-RS associated symbols indicated by the network side is an uplink symbol, the terminal can assume that the actual transmission symbol of the CSI-RS is the first valid downlink symbol before or after the symbol indicated by the network.

In some embodiments, the first valid downlink time domain resource before or after the time domain resource corresponding to the target aperiodic CSI-RS may include:

the first one before or after the time domain resource corresponding to the target aperiodic CSI-RS satisfies a downlink time domain resource mapped by a CSI-RS pattern (CSI-RS PATTERN); or alternatively

And the first effective downlink time domain resource which is before or after the time domain resource corresponding to the target aperiodic CSI-RS and does not collide with a physical channel or a signal.

The CSI-RS pattern is a pattern associated with the target aperiodic CSI-RS.

The first downlink time domain resource satisfying the CSI-RS pattern mapping may be a first downlink symbol satisfying the CSI-RS pattern mapping.

The Physical channels may be a Physical Uplink shared channel (Physical Uplink SHARED CHANNEL, PUSCH), a Physical downlink shared channel (PhysicalDownlink SHARED CHANNEL, PDSCH), a Physical downlink control channel (Physical Downlink Control Channel, PDCCH), a Physical broadcast channel (Physical broadcast channel, PBCH), or the like.

The above-mentioned signals may be other CSI-RSs or other signals.

The collision with no physical channel or signal may be a downlink time domain resource that does not collide with other physical channels or signals, for example: if the first effective downlink symbol of the target aperiodic CSI-RS collides with other physical channels or signals in the time domain, the other physical channels or signals search for the effective downlink symbol according to the same rule so as to avoid the target aperiodic CSI-RS colliding with other CSI-RS in the time domain.

In addition, the first effective downlink time domain resource may be one downlink symbol or a time slot crossing the time slot. For example: in the case that the effective downlink time domain resource is a symbol, a rule of an effective symbol (valid symbol) is determined: assuming that the s-th symbol on a configured time slot cannot transmit an aperiodic channel state information reference signal (aperiodic CSI-RS, AP-CSI-RS), the effective symbol is found in the range of [ s-j-s+j ], and is a valid symbol nearest to s, for example, a downlink symbol (DL symbol) capable of transmitting CSI-RS. A further rule may be to find back and forth simultaneously, for example, find s-1 and s+1 first, if not, continue to find s-2, s+2, and so on, if some time, find that both the front and back symbol are met, then default to either the front symbol or the back symbol to valid symol. Further limiting, the valid symbol and the s-th symbol must be in the same time slot.

In this embodiment, since the terminal determines the real transmission time domain resource of the target aperiodic CSI-RS, the situation that the terminal receives the target aperiodic CSI-RS can be avoided, so as to improve the performance of the terminal in receiving CSI-RS.

As an alternative implementation manner, the terminal feeds back the time interval from the first time domain position of the predicted channel information to any CSI-RS to the time interval association between multiple CSI-RS; or alternatively

The terminal sends first indication information to network side equipment, wherein the first indication information is used for indicating: the time interval of any CSI-RS at the starting position of a prediction window associated with channel information is associated with the time interval among a plurality of CSI-RSs; or alternatively

The terminal receives second indication information sent by the network side equipment, wherein the second indication information is used for indicating: the time interval of the starting position of the prediction window of the channel information association to any CSI-RS is associated with the time interval between the plurality of CSI-RS.

The first time domain position of the channel information may be a starting time domain position of the channel information.

The prediction window associated with the channel information may be a channel state information reporting (CSI reporting) window or a prediction window associated with a precoding matrix.

The association relationship between the time interval of any CSI-RS and the time interval between multiple CSI-RS at the starting position of the prediction window may be configured or defined by a protocol or determined by a terminal at the network side.

The time interval may be a slot interval or a symbol interval.

For example: the slot interval from the start slot of the CSI reporting window to any CSI-RS must be an integer multiple of the interval of two adjacent AP CSI-RS resources (AP CSI-RS resources).

In this embodiment, since the time interval between any CSI-RS and the time interval between multiple CSI-RS is associated with the starting position of the prediction window associated with the channel information, the requirements of the terminal prediction algorithm can be more matched, thereby providing better performance requirements.

As an alternative embodiment, the method further comprises:

The terminal receives third indication information sent by the network side equipment, wherein the third indication information is used for indicating at least one of the following:

The first aperiodic reference signal resource is used for at least one of: the terminal trains the prediction model and predicts the predicted channel performance of the terminal, and the first aperiodic reference signal resource is a resource used for transmitting at least one of the second CSI-RS and the third CSI-RS;

The second aperiodic reference signal resource is used for at least one of: the terminal predicts a channel and the terminal trains the predictive model, and the second aperiodic reference signal resource is a resource for transmitting at least one of the first CSI-RS and the second CSI-RS.

The third indication information may be DCI or other downlink information.

The first aperiodic reference signal resource and the second aperiodic reference signal resource may be AP-CSI Resources and may include one or more reference signal Resources, on each of which CSI-RS may be transmitted.

Optionally, the first aperiodic reference signal resource includes K1 reference signal resources, and M1 time domain resources are spaced between two adjacent reference signals; and/or

The second aperiodic reference signal resource includes K2 reference signal resources, and M2 time domain resources are spaced between two adjacent reference signals.

The time domain resource may be a time slot or a sub-time slot.

In some embodiments, the value of at least one of K1, K2, M1 and M2 may be determined based on the capabilities and/or feedback requirements of the terminal. In this way, at least one of the first aperiodic reference signal resource and the second aperiodic reference resource is matched with the terminal, so that the receiving performance of the terminal for receiving the CSI-RS signal is improved. In some embodiments, the values of at least one of K1, K2, M1 and M2 may be defined by a protocol or configured by a network side. For example: and the network side determines the value of at least one of K1, K2, M1 and M2 based on the reporting capability of the terminal.

In addition, M1 and M2 may be identical (or default identical), such that M1 and M2 need not be indicated separately, and in some embodiments, M1 and M2 may be different.

In some embodiments, the minimum frequency domain bandwidth of the first aperiodic reference signal resource is determined based on the capability of the terminal. In this way, since the minimum frequency domain bandwidth of the first aperiodic reference signal resource is determined based on the capability of the terminal, the receiving performance of the terminal for receiving the CSI-RS signal can be improved. In some embodiments, the minimum frequency domain bandwidth of the first aperiodic reference signal resource may be defined by a protocol or configured by a network side.

In some embodiments, the reporting configuration (None) configuration associated with the first aperiodic reference signal resource may be None (None).

Optionally, the first aperiodic reference signal resource is earlier than the second aperiodic reference signal resource, and a gap between the first aperiodic reference signal resource and the second aperiodic reference signal resource is greater than or equal to a preset threshold.

The preset threshold may be determined based on terminal capability reporting, or a protocol convention.

In this embodiment, since the first aperiodic reference signal resource is earlier than the second aperiodic reference signal resource, and the interval between the first aperiodic reference signal resource and the second aperiodic reference signal resource is greater than or equal to the preset threshold, the terminal performs channel prediction based on the trained prediction model, thereby improving the accuracy of channel prediction.

Optionally, the first aperiodic reference signal resource and the second aperiodic reference signal resource have an association.

Alternatively, the preset threshold may be a value fed back by the terminal, or may be obtained according to information fed back by the terminal.

The association relationship may be configured by a network side or agreed by a protocol.

For example: the first aperiodic reference signal resource is configured to be associated with a second aperiodic reference signal resource through the network or the second aperiodic reference signal resource is associated with the first aperiodic reference signal resource.

Therefore, as the first aperiodic reference signal resource and the second aperiodic reference signal resource have an association, one aperiodic reference signal resource can determine the other aperiodic reference signal resource, and the configuration cost can be further saved.

Specifically, the embodiment of the application can realize at least one of the following:

One CSI-RS for CSI prediction may include at least one of three uses: training a prediction model, predicting a channel and monitoring the prediction performance;

If the predictive model training and channel prediction (or channel prediction and monitoring channel prediction performance) are accomplished by a periodic or semi-persistent CSI-RS, the network side terminal indicates that the CSI-RS is used for both predictive model training and channel prediction (or can be used for monitoring channel prediction performance);

If the prediction model trains and predicts the channel (or predicts and monitors the channel prediction performance) through a plurality of CSI-RSs, and the plurality of CSI-RSs are associated or configured in a CSI-RS set, the terminal distinguishes the functions of the plurality of CSI-RSs through high-level signaling or default rules;

If the prediction model trains and predicts the channel (or predicts and monitors the channel prediction performance) through a plurality of CSI-RSs, and the plurality of CSI-RSs are associated or configured in 2 CSI-RS sets, the network side indicates the 2 CSI-RS sets with association relation through signaling;

If the prediction model trains and predicts the channel (or predicts the channel and monitors the channel and predicts the performance) through a plurality of CSI-RSs, and a plurality of CSI-RSs are associated or configured in2 CSI-RS sets, the terminal distinguishes the function of the CSI-RS sets through high-layer signaling or default rules.

In the embodiment of the application, the functions of the CSI-RS (such as the CSI-RS) are divided into the prediction model training, the channel prediction and the channel prediction monitoring, and the association relation is established for the CSI-RS (such as the CSI-RS) with multiple functions, so that the terminal and the network side equipment can uniformly understand a plurality of CSI-RSs (such as the CSI-RS) for prediction, and the terminal prediction performance is effectively improved by introducing the CSI-RS (such as the CSI-RS) for the prediction model training and the channel prediction monitoring.

Referring to fig. 3, fig. 3 is a flowchart of another reference signal determining method according to an embodiment of the present application, as shown in fig. 3, including the following steps:

step 301, a network side device sends a network signaling to a terminal, where the network signaling is used for the terminal to determine at least one of a first channel measurement reference signal CSI-RS, a second CSI-RS and a third CSI-RS, where the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring channel prediction performance of the terminal.

Optionally, at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS are signals of the same CSI-RS at different measurement occasions;

Or alternatively

Optionally, in a case that at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS are signals of the same CSI-RS at different measurement occasions: the same CSI-RS is a periodical CSI-RS configured or activated by a network, or the same CSI-RS is a semi-continuous CSI-RS configured or activated by the network, or the same CSI-RS is a non-periodical CSI-RS configured by the network and repeatedly transmitted;

In the case that at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS are different CSI-RS: at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS belong to different CSI-RS in the same CSI-RS set, or at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS belong to different CSI-RS sets.

At least two of the first CSI-RS, the second CSI-RS and the third CSI-RS have the same transmission configuration indication TCI information or quasi co-location information;

Optionally, the method further comprises:

the network side equipment receives feedback information sent by the terminal, wherein the feedback information is used for indicating at least one of the following:

the terminal trains the demand of the prediction model;

The terminal predicts the channel requirements.

training the number of required domain resources of the predictive model;

Training a desired domain density of the predictive model;

training a required number of CSI-RS for the predictive model;

the terminal predicting the channel requirement includes at least one of:

predicting a required number of measurement occasions for the channel;

Predicting the number of required domain resources of the channel;

Predicting a required domain density of a channel;

The required CSI-RS number of the channel is predicted.

the terminal predicting the channel requirement includes:

Optionally, in a case that the first CSI-RS and the second CSI-RS belong to different CSI-RS in the same CSI-RS set:

Optionally, the time domain offsets of the N CSI-RSs are larger than the time domain offsets of the remaining CSI-RSs.

Optionally, the first CSI-RS set and the second CSI-RS set are two CSI-RS sets corresponding to the same channel state information CSI report configuration; or alternatively

The first CSI-RS set is a CSI-RS set corresponding to a first CSI report configuration, and the second CSI-RS set is a CSI-RS set corresponding to a second CSI report configuration; wherein, in the case that the first CSI reporting configuration corresponds to a plurality of CSI-RS sets, the first CSI-RS set is a CSI-RS set having the same TCI as the second CSI-RS set in the plurality of CSI-RS sets; or in the case that the second CSI reporting configuration corresponds to a plurality of CSI-RS sets, the second CSI-RS set is a CSI-RS set having the same TCI or quasi co-sited QCL as the first CSI-RS set in the plurality of CSI-RS sets; or alternatively

Optionally, the third CSI-RS and the first CSI-RS are the same periodic CSI-RS or the same semi-persistent CSI-RS; and/or the number of the groups of groups,

Optionally, in a case that the first CSI-RS and the third CSI-RS belong to different CSI-RS in the same CSI-RS set:

Optionally, the time domain positions of CSI-RS in the CSI-RS subset associated with the third CSI-RS are each later than or equal to the CSI reference time domain position or the CSI reporting time domain position.

Optionally, the first CSI-RS set, the second CSI-RS set and the third CSI-RS set are three CSI-RS sets corresponding to the same channel state information CSI report configuration; or alternatively

The first CSI-RS set, the second CSI-RS set and the third CSI-RS set are three CSI-RS sets with the same TCI or QCL in multiple CSI-RS sets configured or activated by a network.

Optionally, the time interval from the first time domain position of the predicted channel information to any CSI-RS is associated with the time interval between multiple CSI-RS; or alternatively

The network side equipment receives first indication information sent by the terminal, wherein the first indication information is used for indicating: the time interval of any CSI-RS at the starting position of a prediction window associated with channel information is associated with the time interval among a plurality of CSI-RSs; or alternatively

The network side equipment sends second indication information to the terminal, wherein the second indication information is used for indicating: the time interval of the starting position of the prediction window of the channel information association to any CSI-RS is associated with the time interval between the plurality of CSI-RS.

Optionally, the method further comprises:

The network side equipment sends third indication information to the terminal, wherein the third indication information is used for indicating at least one of the following:

Optionally, the value of at least one of K1, K2, M1 and M2 is determined based on the capability and/or feedback requirement of the terminal; and/or

The minimum frequency domain bandwidth of the first aperiodic reference signal resource is determined based on the capability of the terminal.

Optionally, the first aperiodic reference signal resource is earlier than the second aperiodic reference signal resource, and an interval between the first aperiodic reference signal resource and the second aperiodic reference signal resource is greater than or equal to a preset threshold; and/or

The first aperiodic reference signal resource and the second aperiodic reference signal resource have an association.

It should be noted that, as an implementation manner of the network side device corresponding to the embodiment shown in fig. 2, a specific implementation manner of the embodiment may refer to a related description of the embodiment shown in fig. 2, so that in order to avoid repeated description, the embodiment is not repeated.

Referring to fig. 4, fig. 4 is a block diagram of a reference signal determining apparatus according to an embodiment of the present application, and as shown in fig. 4, a reference signal determining apparatus 400 includes:

A determining module 401, configured to determine at least one of a first CSI-RS, a second CSI-RS, and a third CSI-RS, where the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring channel prediction performance of the terminal.

Or alternatively

Network signaling, default rules.

Optionally, the apparatus further includes:

the first sending module is used for sending feedback information to the network side equipment, wherein the feedback information is used for indicating at least one of the following:

the terminal trains the demand of the prediction model;

The terminal predicts the channel requirements.

training the number of required domain resources of the predictive model;

Training a desired domain density of the predictive model;

training a required number of CSI-RS for the predictive model;

the terminal predicting the channel requirement includes at least one of:

predicting a required number of measurement occasions for the channel;

Predicting the number of required domain resources of the channel;

Predicting a required domain density of a channel;

The required CSI-RS number of the channel is predicted.

the terminal predicting the channel requirement includes:

Optionally, in a case where the resource trained by the prediction model does not reach the terminal-trained prediction model:

Or alternatively

Optionally, in a case that the first CSI-RS and the second CSI-RS are the same CSI-RS, the terminal determines the same CSI-RS by at least one of:

Network signaling, default rules.

Optionally, the smaller time domain offset refers to that the sum of time domain offsets of all CSI-RS in the CSI-RS subset is smaller, or the CSI-RS subset with smaller time domain offset refers to a subset to which the CSI-RS with the smallest time domain offset in the CSI-RS set belongs;

Optionally, in a case where the first CSI-RS and the second CSI-RS belong to different CSI-RS sets:

Optionally, in a case where the first CSI-RS and the third CSI-RS belong to different CSI-RS sets:

Optionally, in a case where the first CSI-RS, the second CSI-RS, and the third CSI-RS belong to different CSI-RS sets:

Optionally, in the case that the terminal predicts CSI based on a plurality of aperiodic CSI-RS:

If a target aperiodic CSI-RS exists in the plurality of aperiodic CSI-RS, the terminal determines that a time domain resource transmitted by the target aperiodic CSI-RS is a first effective downlink time domain resource before or after a time domain resource corresponding to the target aperiodic CSI-RS indicated by a network; the time domain resource corresponding to the target aperiodic CSI-RS indicated by the network is an uplink time domain resource, or the time domain resource corresponding to the target aperiodic CSI-RS indicated by the network collides with other signals or channels.

Optionally, the first valid downlink time domain resource before or after the time domain resource corresponding to the target aperiodic CSI-RS includes:

The first one before or after the time domain resource corresponding to the target aperiodic CSI-RS meets the downlink time domain resource mapped by the CSI-RS pattern; or alternatively

The apparatus further comprises one of:

The second sending module is configured to send first indication information to the network side device, where the first indication information is used to indicate: the time interval of any CSI-RS at the starting position of a prediction window associated with channel information is associated with the time interval among a plurality of CSI-RSs; or alternatively

The first receiving module is configured to receive second indication information sent by the network side device, where the second indication information is used to indicate: the time interval of the starting position of the prediction window of the channel information association to any CSI-RS is associated with the time interval between the plurality of CSI-RS.

Optionally, the apparatus further includes:

The second receiving module is configured to receive third indication information sent by the network side device, where the third indication information is used to indicate at least one of the following:

The reference signal determining device can improve transmission performance between communication devices.

The reference signal determining device in the embodiment of the application can be an electronic device, for example, an electronic device with an operating system, or can be a component in the electronic device, for example, an integrated circuit or a chip. For example: the electronic device may be a terminal, or may be other devices than a terminal. By way of example, the terminals may include, but are not limited to, the types of terminals listed in the embodiments of the present application, and the other devices may be servers, network attached storage (Network Attached Storage, NAS), etc., and the embodiments of the present application are not limited in detail.

The reference signal determining device provided by the embodiment of the present application can implement each process implemented by the method embodiment shown in fig. 2, and achieve the same technical effects, and for avoiding repetition, a detailed description is omitted herein.

Referring to fig. 5, fig. 5 is a block diagram of a reference signal determining apparatus according to an embodiment of the present application, and as shown in fig. 5, a reference signal determining apparatus 500 includes:

A first sending module 501, configured to send network signaling to a terminal, where the network signaling is used for the terminal to determine at least one of a first CSI-RS, a second CSI-RS and a third CSI-RS, where the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring channel prediction performance of the terminal.

Or alternatively

Optionally, the apparatus further includes:

The first receiving module is used for receiving feedback information sent by the terminal, and the feedback information is used for indicating at least one of the following:

the terminal trains the demand of the prediction model;

The terminal predicts the channel requirements.

training the number of required domain resources of the predictive model;

Training a desired domain density of the predictive model;

training a required number of CSI-RS for the predictive model;

the terminal predicting the channel requirement includes at least one of:

predicting a required number of measurement occasions for the channel;

Predicting the number of required domain resources of the channel;

Predicting a required domain density of a channel;

The required CSI-RS number of the channel is predicted.

the terminal predicting the channel requirement includes:

The apparatus further comprises one of:

the second receiving module is used for receiving first indication information sent by the terminal, wherein the first indication information is used for indicating: the time interval of any CSI-RS at the starting position of a prediction window associated with channel information is associated with the time interval among a plurality of CSI-RSs; or alternatively

The second sending module is used for sending second indication information to the terminal, wherein the second indication information is used for indicating: the time interval of the starting position of the prediction window of the channel information association to any CSI-RS is associated with the time interval between the plurality of CSI-RS.

Optionally, the apparatus further includes:

The third sending module is used for sending third indication information to the terminal, wherein the third indication information is used for indicating at least one of the following:

The reference signal determining device in the embodiment of the application can be an electronic device, for example, an electronic device with an operating system, or can be a component in the electronic device, for example, an integrated circuit or a chip. The electronic device may be a terminal or a network side device.

The reference signal determining device provided by the embodiment of the present application can implement each process implemented by the method embodiment shown in fig. 3, and achieve the same technical effects, and in order to avoid repetition, a detailed description is omitted here.

Optionally, as shown in fig. 6, the embodiment of the present application further provides a communication device 600, including a processor 601 and a memory 602, where the memory 602 stores a program or instructions that can be executed on the processor 601, for example, when the communication device 600 is a terminal, the program or instructions implement, when executed by the processor 601, the steps of the above-mentioned embodiment of the method for determining a reference signal on the terminal side, and achieve the same technical effects. When the communication device 600 is a network side device, the program or the instruction, when executed by the processor 601, implements the steps of the method embodiment for determining a reference signal on the network side device, and the same technical effects can be achieved, so that repetition is avoided, and no further description is given here.

The embodiment of the application also provides communication equipment, which comprises a processor and a communication interface, wherein the processor is used for determining at least one of a first CSI-RS, a second CSI-RS and a third CSI-RS, wherein the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring the channel prediction performance of the terminal. The embodiment of the communication device corresponds to the embodiment of the method for determining the reference signal on the terminal side, and each implementation process and implementation manner of the embodiment of the method can be applied to the embodiment of the communication device, and the same technical effects can be achieved.

Specifically, fig. 7 is a schematic diagram of a hardware structure of a terminal for implementing an embodiment of the present application.

The terminal 700 includes, but is not limited to: at least some of the components of the radio frequency unit 701, the network module 702, the audio output unit 703, the input unit 704, the sensor 705, the display unit 706, the user input unit 707, the interface unit 708, the memory 709, and the processor 710.

Those skilled in the art will appreciate that the terminal 700 may further include a power source (e.g., a battery) for powering the various components, and that the power source may be logically coupled to the processor 710 via a power management system so as to perform functions such as managing charging, discharging, and power consumption via the power management system. The terminal structure shown in fig. 7 does not constitute a limitation of the terminal, and the terminal may include more or less components than shown, or may combine certain components, or may be arranged in different components, which will not be described in detail herein.

It should be appreciated that in embodiments of the present application, the input unit 704 may include a graphics processing unit (Graphics Processing Unit, GPU) 7041 and a microphone 7042, where the graphics processing unit 7041 processes image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The display unit 706 may include a display panel 7061, and the display panel 7061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 707 includes at least one of a touch panel 7071 and other input devices 7072. The touch panel 7071 is also referred to as a touch screen. The touch panel 7071 may include two parts, a touch detection device and a touch controller. Other input devices 7072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and so forth, which are not described in detail herein.

In the embodiment of the present application, after receiving downlink data from a network side device, the radio frequency unit 701 may transmit the downlink data to the processor 710 for processing; in addition, the radio frequency unit 701 may send uplink data to the network side device. Typically, the radio unit 701 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.

The memory 709 may be used to store software programs or instructions and various data. The memory 709 may mainly include a first storage area storing programs or instructions and a second storage area storing data, wherein the first storage area may store an operating system, application programs or instructions (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like. Further, the memory 709 may include volatile memory or nonvolatile memory, or the memory 709 may include both volatile and nonvolatile memory. The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable EPROM (EEPROM), or a flash Memory. The volatile memory may be random access memory (Random Access Memory, RAM), static random access memory (STATIC RAM, SRAM), dynamic random access memory (DYNAMIC RAM, DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate Synchronous dynamic random access memory (Double DATA RATE SDRAM, DDRSDRAM), enhanced Synchronous dynamic random access memory (ENHANCED SDRAM, ESDRAM), synchronous link dynamic random access memory (SYNCH LINK DRAM, SLDRAM), and Direct random access memory (DRRAM). Memory 709 in embodiments of the application includes, but is not limited to, these and any other suitable types of memory.

Processor 710 may include one or more processing units; optionally, processor 710 integrates an application processor that primarily processes operations involving an operating system, user interface, application programs, and the like, and a modem processor that primarily processes wireless communication signals, such as a baseband processor. It will be appreciated that the modem processor described above may not be integrated into the processor 710.

A processor 710, configured to determine at least one of a first CSI-RS, a second CSI-RS, and a third CSI-RS, where the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring channel prediction performance of the terminal.

Or alternatively

Network signaling, default rules.

Optionally, the radio frequency unit 701 is configured to: and sending feedback information to the network side equipment, wherein the feedback information is used for indicating at least one of the following:

the terminal trains the demand of the prediction model;

The terminal predicts the channel requirements.

training the number of required domain resources of the predictive model;

Training a desired domain density of the predictive model;

training a required number of CSI-RS for the predictive model;

the terminal predicting the channel requirement includes at least one of:

predicting a required number of measurement occasions for the channel;

Predicting the number of required domain resources of the channel;

Predicting a required domain density of a channel;

The required CSI-RS number of the channel is predicted.

the terminal predicting the channel requirement includes:

Or alternatively

Network signaling, default rules.

The radio frequency unit 701 is also used for one of:

Sending first indication information to network side equipment, wherein the first indication information is used for indicating: the time interval of any CSI-RS at the starting position of a prediction window associated with channel information is associated with the time interval among a plurality of CSI-RSs; or alternatively

Receiving second indication information sent by network side equipment, wherein the second indication information is used for indicating: the time interval of the starting position of the prediction window of the channel information association to any CSI-RS is associated with the time interval between the plurality of CSI-RS.

Optionally, the radio frequency unit 701 is further configured to:

Receiving third indication information sent by network side equipment, wherein the third indication information is used for indicating at least one of the following:

The terminal may communicate transmission capabilities between devices.

The embodiment of the application also provides communication equipment, which comprises a processor and a communication interface, wherein the communication interface is used for sending network signaling to a terminal, the network signaling is used for determining at least one of a first channel measurement reference signal (CSI-RS), a second CSI-RS and a third CSI-RS by the terminal, the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring the channel prediction performance of the terminal. The communication device embodiment corresponds to the Doppler measurement method embodiment of the network side device side, and each implementation process and implementation manner of the method embodiment can be applied to the communication device embodiment and can achieve the same technical effect.

Specifically, the embodiment of the application also provides network side equipment. As shown in fig. 8, the network side device 800 includes: an antenna 801, a radio frequency device 802, a baseband device 803, a processor 804, and a memory 805. The antenna 801 is connected to a radio frequency device 802. In the uplink direction, the radio frequency device 802 receives information via the antenna 801, and transmits the received information to the baseband device 803 for processing. In the downlink direction, the baseband device 803 processes information to be transmitted, and transmits the processed information to the radio frequency device 802, and the radio frequency device 802 processes the received information and transmits the processed information through the antenna 801.

The method performed by the network side device in the above embodiment may be implemented in the baseband apparatus 803, where the baseband apparatus 803 includes a baseband processor.

The baseband device 803 may, for example, comprise at least one baseband board, on which a plurality of chips are disposed, as shown in fig. 8, where one chip, for example, a baseband processor, is connected to the memory 805 through a bus interface, so as to invoke a program in the memory 805 to perform the network device operation shown in the above method embodiment.

The network-side device may also include a network interface 806, such as a common public radio interface (common public radio interface, CPRI).

Specifically, the network side device 800 of the embodiment of the present invention further includes: instructions or programs stored in the memory 805 and executable on the processor 804, the processor 804 invokes the instructions or programs in the memory 805 to perform the methods performed by the modules shown in fig. 5 and achieve the same technical effects, and are not described herein in detail to avoid repetition.

The radio frequency device 802 is configured to send network signaling to a terminal, where the network signaling is used for the terminal to determine at least one of a first CSI-RS, a second CSI-RS, and a third CSI-RS, where the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring channel prediction performance of the terminal.

Or alternatively

Optionally, the radio frequency device 802 is further configured to:

receiving feedback information sent by the terminal, wherein the feedback information is used for indicating at least one of the following:

the terminal trains the demand of the prediction model;

The terminal predicts the channel requirements.

training the number of required domain resources of the predictive model;

Training a desired domain density of the predictive model;

training a required number of CSI-RS for the predictive model;

the terminal predicting the channel requirement includes at least one of:

predicting a required number of measurement occasions for the channel;

Predicting the number of required domain resources of the channel;

Predicting a required domain density of a channel;

The required CSI-RS number of the channel is predicted.

the terminal predicting the channel requirement includes:

The radio frequency device 802 is further configured to further include one of:

Receiving first indication information sent by the terminal, wherein the first indication information is used for indicating: the time interval of any CSI-RS at the starting position of a prediction window associated with channel information is associated with the time interval among a plurality of CSI-RSs; or alternatively

Transmitting second indication information to the terminal, wherein the second indication information is used for indicating: the time interval of the starting position of the prediction window of the channel information association to any CSI-RS is associated with the time interval between the plurality of CSI-RS.

Optionally, the radio frequency device 802 is further configured to:

Transmitting third indication information to the terminal, wherein the third indication information is used for indicating at least one of the following:

The network side equipment can improve the transmission performance between the communication equipment.

The embodiment of the application also provides a readable storage medium, and the readable storage medium stores a program or instructions, which when executed by a processor, implement the steps of the reference signal determining method provided by the embodiment of the application.

Wherein the processor is a processor in the terminal described in the above embodiment. The readable storage medium includes computer readable storage medium such as computer readable memory ROM, random access memory RAM, magnetic or optical disk, etc.

The embodiment of the application further provides a chip, which comprises a processor and a communication interface, wherein the communication interface is coupled with the processor, and the processor is used for running programs or instructions to realize the processes of the above-mentioned reference signal determining method embodiment, and can achieve the same technical effects, so that repetition is avoided, and the description is omitted here.

It should be understood that the chips referred to in the embodiments of the present application may also be referred to as system-on-chip chips, or the like.

The embodiments of the present application further provide a computer program/program product stored in a storage medium, where the computer program/program product is executed by at least one processor to implement the respective processes of the above-mentioned reference signal determining method embodiment, and achieve the same technical effects, and are not repeated herein.

The embodiment of the application also provides a reference signal determining system, which comprises: the terminal and the network side device can be used for executing the steps of the method for determining the reference signal of the terminal side provided by the embodiment of the application, and the network side device can be used for executing the steps of the method for determining the reference signal of the network side device provided by the embodiment of the application.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in an opposite order depending on the functions involved, e.g., the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a computer software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.

The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are to be protected by the present application.

Claims

1. A method for determining a reference signal, comprising:

The method comprises the steps that a terminal determines at least one of a first channel state information reference signal (CSI-RS), a second CSI-RS and a third CSI-RS, wherein the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model, and the third CSI-RS is used for monitoring channel prediction performance of the terminal.

2. The method of claim 1, wherein at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS are signals of a same CSI-RS at different measurement occasions;

Or alternatively

3. The method of claim 2, wherein at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS are in the case of signals of the same CSI-RS at different measurement occasions: the same CSI-RS is a periodical CSI-RS configured or activated by a network, or the same CSI-RS is a semi-continuous CSI-RS configured or activated by the network, or the same CSI-RS is a non-periodical CSI-RS configured by the network and repeatedly transmitted;

4. The method of claim 3, wherein in the case where at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS belong to different CSI-RS in a same CSI-RS set, there is at least one of:

5. The method of claim 3, wherein in the case where at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS belong to different CSI-RS in a same CSI-RS set, there is at least one of:

6. The method of any of claims 3 to 5, wherein in the case where the time domain characteristics of the first CSI-RS, the second CSI-RS, and the third CSI-RS associated CSI-RS set are aperiodic:

Network signaling, default rules.

7. The method of any one of claims 1 to 5, wherein the method further comprises:

the terminal trains the demand of the prediction model;

The terminal predicts the channel requirements.

8. The method of claim 7, wherein the requirements of the terminal training predictive model include at least one of:

training the number of required domain resources of the predictive model;

Training a desired domain density of the predictive model;

training a required number of CSI-RS for the predictive model;

the terminal predicting the channel requirement includes at least one of:

predicting a required number of measurement occasions for the channel;

Predicting the number of required domain resources of the channel;

Predicting a required domain density of a channel;

The required CSI-RS number of the channel is predicted.

9. The method of claim 7, wherein the requirements of the terminal training predictive model include at least one of:

the terminal predicting the channel requirement includes:

10. The method of claim 7, wherein the terminal training the requirements of the predictive model comprises: the terminal trains the minimum requirement of the prediction model;

11. The method of claim 7, wherein in the event that the resources trained by the predictive model do not meet the requirements of the terminal to train the predictive model:

Or alternatively

12. The method of claim 2, wherein the terminal determines the same CSI-RS by at least one of:

Network signaling, default rules.

13. The method of claim 3, wherein the first CSI-RS and the second CSI-RS belong to different CSI-RS in a same CSI-RS set:

14. The method of claim 13, wherein a time domain offset of the N CSI-RSs is greater than a time domain offset of the remaining CSI-RSs.

15. The method of claim 13, wherein a sum of time domain offsets of all CSI-RS in the CSI-RS subset corresponding to the second CSI-RS is less than a sum of time domain offsets of all CSI-RS in the CSI-RS subset corresponding to the first CSI-RS; or alternatively, the first and second heat exchangers may be,

16. The method of claim 3, wherein, in the case where the first CSI-RS and the second CSI-RS belong to different CSI-RS sets:

17. The method of claim 16, wherein the first CSI-RS set and the second CSI-RS set are two CSI-RS sets corresponding to a same channel state information CSI reporting configuration; or alternatively

18. The method of claim 3, wherein the third CSI-RS is the same periodic CSI-RS or the same semi-persistent CSI-RS as the first CSI-RS; and/or the number of the groups of groups,

19. The method of claim 3, wherein the first CSI-RS and the third CSI-RS belong to different CSI-RS in a same CSI-RS set:

20. The method of claim 19, wherein time domain positions of CSI-RS within the third CSI-RS associated CSI-RS subset are each later than or equal to a CSI reference time domain position or a CSI reporting time domain position; and/or

21. The method of claim 3, wherein, in the case where the first CSI-RS and the third CSI-RS belong to different CSI-RS sets:

22. The method of claim 21, wherein, in the case where the third set of CSI-RS is included further including the second CSI-RS: the third CSI-RS set is a periodic or semi-continuous CSI-RS set; or alternatively

23. The method of claim 22, wherein the first CSI-RS set and the third CSI-RS set are two CSI-RS sets corresponding to a same channel state information CSI report configuration; or alternatively

24. The method of claim 3, wherein the first CSI-RS, the second CSI-RS, and the third CSI-RS belong to different sets of CSI-RS:

25. The method of claim 24, wherein the first CSI-RS set, the second CSI-RS set, and the third CSI-RS set are three CSI-RS sets corresponding to a same channel state information CSI reporting configuration; or alternatively

26. The method according to any of claims 1 to 5, wherein in case the terminal predicts CSI based on a plurality of aperiodic CSI-RS:

27. The method of claim 26, wherein the first valid downlink time domain resource before or after the time domain resource corresponding to the target aperiodic CSI-RS comprises:

28. The method according to any one of claims 1 to 5, wherein a time interval from a first time domain position of the terminal feedback predicted channel information to any CSI-RS is associated with a time interval between a plurality of CSI-RS; or alternatively

29. The method of any one of claims 1 to 5, further comprising:

30. The method of claim 29, wherein the first aperiodic reference signal resource comprises K1 reference signal resources and M1 time domain resources are spaced between two adjacent reference signals; and/or

31. The method of claim 30, wherein the value of at least one of K1, K2, M1 and M2 is determined based on the capabilities of the terminal and/or feedback requirements; and/or

32. The method of claim 29, wherein the first aperiodic reference signal resource is earlier than the second aperiodic reference signal resource, and the interval between the first aperiodic reference signal resource and the second aperiodic reference signal resource is greater than or equal to a preset threshold; and/or

33. A method for determining a reference signal, comprising:

the network side equipment sends network signaling to a terminal, wherein the network signaling is used for determining at least one of a first channel measurement reference signal (CSI-RS), a second CSI-RS and a third CSI-RS by the terminal, the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model by the terminal, and the third CSI-RS is used for monitoring the channel prediction performance of the terminal.

34. The method of claim 33, wherein at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS are signals of a same CSI-RS at different measurement occasions;

Or alternatively

35. The method of claim 34, wherein at least two of the first CSI-RS, the second CSI-RS, and the third CSI-RS are in the case of signals of a same CSI-RS at different measurement occasions: the same CSI-RS is a periodical CSI-RS configured or activated by a network, or the same CSI-RS is a semi-continuous CSI-RS configured or activated by the network, or the same CSI-RS is a non-periodical CSI-RS configured by the network and repeatedly transmitted;

36. A reference signal determining apparatus, comprising:

The determining module is configured to determine at least one of a first channel measurement reference signal CSI-RS, a second CSI-RS, and a third CSI-RS, where the first CSI-RS is used for channel prediction, the second CSI-RS is used for a terminal training prediction model, and the third CSI-RS is used for monitoring channel prediction performance of the terminal.

37. A reference signal determining apparatus, comprising:

the system comprises a first sending module, a second sending module and a third sending module, wherein the first sending module is used for sending network signaling to a terminal, the network signaling is used for determining at least one of a first channel measurement reference signal (CSI-RS), a second CSI-RS and a third CSI-RS by the terminal, the first CSI-RS is used for channel prediction, the second CSI-RS is used for training a prediction model by the terminal, and the third CSI-RS is used for monitoring the channel prediction performance of the terminal.

38. A terminal comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, performs the steps of the reference signal determination method of any one of claims 1 to 32.

39. A network side device comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the reference signal determination method of any one of claims 33 to 35.

40. A readable storage medium, characterized in that the readable storage medium stores thereon a program or instructions which, when executed by a processor, implements the steps of the reference signal determination method according to any one of claims 1 to 32, or which, when executed by a processor, implements the steps of the reference signal determination method according to any one of claims 33 to 35.