Methods for determining channel prediction models and methods for indicating monitoring pre-configuration information.

Abstract

This application discloses a method for determining a channel prediction model and a method for indicating monitoring configuration information, belonging to the field of communication technology. The method for determining a channel prediction model in this application includes: a terminal acquiring monitoring pre-configuration information configured by a network-side device, wherein the monitoring pre-configuration information is used to instruct the terminal to monitor a target indicator; the terminal monitoring the target indicator according to the monitoring configuration information; and the terminal determining target information adapted to the monitoring results based on the monitoring results, wherein the target information includes at least one of the following: a target channel prediction model and configuration information of the target channel prediction model; wherein the target channel prediction model is a channel prediction model used by the terminal; and the target indicator includes at least one of the following: an information indicator, used to indicate the network environment information currently in which the terminal is located; and a performance indicator, used to indicate the performance of the channel prediction model currently used by the terminal.

Description

Technical Field

[0001] This application belongs to the field of communication technology, specifically relating to a method for determining a channel prediction model and a method for indicating monitoring pre-configuration information. Background Technology

[0002] Research on the combination of artificial intelligence (AI) and channel prediction has reached a certain scale. However, when performing channel prediction, the mismatch between the channel prediction model and the environment and link status can lead to a sharp decline in system performance. Summary of the Invention

[0003] This application provides a method for determining a channel prediction model and a method for indicating pre-configuration information, which can solve the problem of a sharp decline in system performance caused by a mismatch between the channel prediction model and the environment and link status.

[0004] Firstly, a method for determining a channel prediction model is provided, executed by a terminal. The method includes: the terminal acquiring monitoring pre-configuration information configured by a network-side device, wherein the monitoring pre-configuration information instructs the terminal to monitor a target indicator; the terminal monitoring the target indicator according to the monitoring pre-configuration information; and the terminal determining target information adapted to the monitoring results based on the monitoring results, wherein the target information includes at least one of the following: a target channel prediction model and configuration information of the target channel prediction model; wherein the target channel prediction model is a channel prediction model used by the terminal; and the target indicator includes at least one of the following: an information indicator indicating the network environment information currently in which the terminal is located; and a performance indicator indicating the performance of the channel prediction model currently used by the terminal.

[0005] Secondly, a method for indicating monitoring pre-configuration information is provided, executed by a network-side device. The method includes: the network-side device configuring monitoring pre-configuration information for a terminal via configuration signaling, wherein the monitoring pre-configuration information is used to instruct the terminal to monitor target indicators to determine target information adapted to the terminal based on the monitoring results. The target information includes at least one of the following: a target channel prediction model and configuration information of the target channel prediction model; wherein the target channel prediction model is a channel prediction model used by the terminal; the target indicators include at least one of the following: information indicators, used to indicate the network environment information currently in which the terminal is located; and performance indicators, used to indicate the performance of the channel prediction model currently used by the terminal.

[0006] Thirdly, a device for determining a channel prediction model is provided. The device includes: a first acquisition module, configured to acquire monitoring pre-configuration information configured by a network-side device, wherein the monitoring pre-configuration information is used to instruct the terminal to monitor a target indicator; a monitoring module, configured to monitor the target indicator according to the monitoring pre-configuration information; and a determination module, configured to determine target information adapted to the monitoring results based on the monitoring results, wherein the target information includes at least one of the following: a target channel prediction model and configuration information of the target channel prediction model; wherein the target channel prediction model is a channel prediction model used by the terminal; and the target indicator includes at least one of the following: an information indicator, used to indicate the network environment information currently in which the terminal is located; and a performance indicator, used to indicate the performance of the channel prediction model currently used by the terminal.

[0007] Fourthly, a device for indicating monitoring pre-configuration information is provided. The device includes: a second acquisition module for acquiring monitoring pre-configuration information of a terminal, wherein the monitoring pre-configuration information is used to instruct the terminal to monitor target indicators to determine target information adapted to the terminal based on the monitoring results; the target information includes at least one of the following: a target channel prediction model and configuration information of the target channel prediction model; a configuration module for configuring the monitoring pre-configuration information for the terminal through configuration signaling, wherein the target channel prediction model is a channel prediction model used by the terminal; the target indicators include at least one of the following: information indicators, used to indicate the network environment information currently in which the terminal is located; and performance indicators, used to indicate the performance of the channel prediction model currently used by the terminal.

[0008] Fifthly, a terminal is provided, the terminal including a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions, when executed by the processor, implementing the steps of the method as described in the first aspect.

[0009] In a sixth aspect, a terminal is provided, including a processor and a communication interface, wherein the processor is used to implement the steps of the method described in the first aspect, and the communication interface is used to communicate with an external device.

[0010] In a seventh aspect, a network-side device is provided, the network-side device including a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions, when executed by the processor, implementing the steps of the method as described in the second aspect.

[0011] Eighthly, a network-side device is provided, including a processor and a communication interface, wherein the processor is used to implement the steps of the method described in the second aspect, and the communication interface is used to communicate with an external device.

[0012] A ninth aspect provides a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method described in the first aspect, or implement the steps of the method described in the second aspect.

[0013] In a tenth aspect, a wireless communication system is provided, comprising: a terminal and a network-side device, wherein the terminal is configured to perform the steps of the method described in the first aspect, and the network-side device is configured to perform the steps of the method described in the second aspect.

[0014] Eleventhly, a chip is provided, the chip including a processor and a communication interface coupled to the processor, the processor being configured to run a program or instructions to implement the steps of the method described in the first aspect, or to implement the steps of the method described in the second aspect.

[0015] In a twelfth aspect, a computer program / program product is provided, which is stored in a storage medium and is executed by at least one processor to implement the steps of the method as described in the first aspect, or to implement the steps of the method as described in the second aspect.

[0016] In this embodiment, the terminal monitors the target indicators according to the monitoring pre-configuration information configured on the network side, and then determines the target information that matches the monitoring results based on the monitoring results. The target information includes at least one of the following: target channel prediction model and configuration information of the target channel prediction model. This can avoid the situation where the system performance drops sharply due to the mismatch between the channel prediction model and the environment and link status when performing channel prediction, thereby improving the prediction performance of the terminal and thus improving the performance of the terminal system. Attached Figure Description

[0017] Figure 1 shows a block diagram of a wireless communication system that can be applied to an embodiment of this application;

[0018] Figure 2 shows a schematic diagram of a scheme for split AI / ML inference that can be applied to an embodiment of this application;

[0019] Figure 3 shows a block diagram of an AI function that can be applied to an embodiment of this application;

[0020] Figure 4 shows a flowchart of a method for determining a channel prediction model provided in an embodiment of this application;

[0021] Figure 5 shows a flowchart of a method for indicating monitoring pre-configured information provided in an embodiment of this application;

[0022] Figure 6 shows a flowchart of an information indicator monitoring method provided in an embodiment of this application;

[0023] Figure 7 shows a schematic diagram of a device for determining a channel prediction model provided in an embodiment of this application;

[0024] Figure 8 shows a schematic diagram of a structure of an indicator device for monitoring pre-configured information provided in an embodiment of this application;

[0025] Figure 9 shows a schematic diagram of the structure of a communication device provided in an embodiment of this application;

[0026] Figure 10 shows a schematic diagram of the hardware structure of a terminal provided in an embodiment of this application;

[0027] Figure 11 shows a schematic diagram of the hardware structure of a network-side device provided in an embodiment of this application. Detailed Implementation

[0028] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0029] The terms "first," "second," etc., used in this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of the same class, without limiting the number of objects; for example, the first object can be one or more. Furthermore, "or" in this application indicates at least one of the connected objects. For example, "A or B" covers three scenarios: Scenario 1: including A but not B; Scenario 2: including B but not A; Scenario 3: including both A and B. The character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0030] It is worth noting that the technologies described in this application are not limited to Long Term Evolution (LTE) / LTE-Advanced (LTE-A) systems, but can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency-Division Multiple Access (SC-FDMA), or other systems. The terms "system" and "network" in this application are often used interchangeably, and the described technologies can be used with the systems and radio technologies mentioned above, as well as with other systems and radio technologies. The following description describes New Radio (NR) systems for illustrative purposes, and the term NR is used in most of the following description; however, these technologies can also be applied to systems other than NR systems, such as 6th generation (6G) radio systems. th Generation 6G communication system.

[0031] Figure 1This diagram illustrates a block diagram of a wireless communication system applicable to embodiments of this application. The wireless communication system includes a terminal 11 and a network-side device 12. The terminal 11 can be a mobile phone, tablet computer, laptop computer, notebook computer, personal digital assistant (PDA), handheld computer, netbook, ultra-mobile personal computer (UMPC), mobile internet device (MID), augmented reality (AR), virtual reality (VR) device, robot, wearable device, flight vehicle, vehicle user equipment (VUE), shipboard equipment, pedestrian user equipment (PUE), smart home (home devices with wireless communication capabilities, such as refrigerators, televisions, washing machines, or furniture), game console, personal computer (PC), ATM, or self-service machine, etc. Wearable devices include: smartwatches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart chains, smart rings, smart necklaces, smart anklets, smart anklets, etc.), smart wristbands, smart clothing, etc. Among these, in-vehicle devices can also be referred to as in-vehicle terminals, in-vehicle controllers, in-vehicle modules, in-vehicle components, in-vehicle chips, or in-vehicle units, etc. It should be noted that the specific type of terminal 11 is not limited in this application embodiment. Network-side equipment 12 may include access network equipment or core network equipment, wherein access network equipment may also be referred to as Radio Access Network (RAN) equipment, radio access network function, or radio access network unit. Access network equipment may include base stations, Wireless Local Area Network (WLAN) access points (AS), or Wireless Fidelity (WiFi) nodes, etc.The base station may be referred to as Node B (NB), Evolved Node B (eNB), Next Generation Node B (gNB), New Radio Node B (NR Node B), Access Point, Relay Base Station (RBS), Serving Base Station (SBS), Base Transceiver Station (BTS), Radio Base Station, Radio Transceiver, Basic Service Set (BSS), Extended Service Set (ESS), Home Node B (HNB), Home Evolved Node B, Transmission Reception Point (TRP), or any other suitable term in the field, as long as the same technical effect is achieved. The base station is not limited to specific technical terms. It should be noted that the embodiments of this application only use the base station in the NR system as an example for introduction, and do not limit the specific type of base station.

[0032] Before describing the embodiments of the present invention, some technologies involved in the following description will be explained.

[0033] Artificial intelligence (AI) and machine learning (ML) are being used across a range of applications across industries. In mobile communication systems, mobile devices (e.g., smartphones, cars, robots) are increasingly using AI / ML models to replace traditional algorithms (e.g., speech recognition, image recognition, video processing) to support more efficient applications. Fifth-generation mobile communication technology (5G) systems can support at least three AI / ML operations:

[0034] (1) Decomposition of AI / ML operations between AI / ML endpoints;

[0035] (2) Distribution and sharing of AI / ML models / data on 5G systems;

[0036] (3) Distributed / joint learning on 5G systems.

[0037] Figure 2 This refers to a solution where AI / ML inference is broken down. For example... Figure 2As shown, AI / ML operations / models are divided into multiple parts based on the current task and environment. The aim is to centralize computationally intensive and energy-intensive parts at the network end, while leaving privacy-sensitive and latency-sensitive parts on the terminal device. The device executes the operation / model to a specific part / layer and then sends the intermediate data to the network end. The network end executes the remaining parts / layers and feeds back the inference results to the device.

[0038] Figure 3 illustrates the AI ​​functional framework related to the 3rd Generation Partnership Project (3GPP) Radio Access Network (RAN), including:

[0039] The data collection module (i.e., Data Collection) is a function that provides input data to the model training and inference functions. The data collection function performs only some data preprocessing and cleaning, formatting, and transformation, but does not perform AI / ML-specific algorithmic data preparation. Examples of input data can include measurements from the user equipment (UE) or different network entities, feedback from actors, and outputs from AI / ML models. The data collection function includes training data and inference data; training data is the data required as input to the AI / ML model training function, while inference data is the data required as input to the AI / ML model inference function.

[0040] The Model Training module is a functional block that performs the training, validation, and testing of AI machine learning models. It can generate model performance metrics as part of the model testing process. If needed, the Model Training module is also responsible for data preparation (e.g., data preprocessing and cleaning, formatting, and transformation) based on the training data provided by the Data Collection module. The Model Training module includes Model Deployment / Update; Model Deployment / Update is used to initially deploy trained, validated, and tested AI / ML models to the Model Inference module, or to deliver updated models to the Model Inference module.

[0041] The Model Inference module is a functional block that provides the inference output (e.g., prediction or decision) of an AI / ML model. If necessary, the Model Inference module is also responsible for data preparation (e.g., data preprocessing and cleaning, formatting and transformation) based on the inference data provided by the data collection function. The Model Inference module includes output; the output is the inference output of the AI / ML model generated by the Model Inference module.

[0042] An action module (or actor) is a functional block that receives the output of the model's inference function and triggers or executes corresponding actions. An action module can trigger actions against other entities or itself. Action modules include feedback; feedback is information that may be needed to obtain training or inference data or performance feedback.

[0043] The following description, in conjunction with the accompanying drawings, details the method for determining the channel prediction model and the method for indicating the monitoring pre-configuration information provided in this application, through some embodiments and application scenarios.

[0044] Figure 4 This diagram illustrates a flowchart of a method for determining a channel prediction model according to an embodiment of this application. This method 400 can be executed by a terminal. In other words, the method can be executed by software or hardware installed on the terminal. Figure 4 As shown, the method may include the following steps.

[0045] S410: The terminal obtains the monitoring pre-configuration information configured by the network-side device, wherein the monitoring pre-configuration information is used to instruct the terminal to monitor the target indicator.

[0046] In this application embodiment, the target indicator includes at least one of the following:

[0047] Information indicators are used to indicate the network environment information currently in which the terminal is located;

[0048] Performance metrics are used to indicate the performance of the channel prediction model currently used by the terminal.

[0049] In one implementation, the monitoring pre-configuration information may specifically include at least one of the following (1) to (4):

[0050] (1) Third indication information, used to indicate the information indicator.

[0051] For example, the third indication information may include parameters such as the current environment of the terminal, its motion state, and the channel state. Through this first indication information, the terminal can be instructed on which information indicators it needs to monitor, such as the channel correlation coefficient, speed ratio, and Doppler frequency.

[0052] (2) Fourth indication information, used to indicate the performance indicators.

[0053] For example, the fourth indication information may include performance information of the channel prediction model.

[0054] (3) Monitoring time, used to indicate the time when the terminal starts monitoring.

[0055] The monitoring time can include one or more sets, or it can include whether it is periodic, semi-static, or dynamic, i.e., whether it is periodic, semi-static, or dynamic monitoring. The terminal can start monitoring at the time indicated by the monitoring time, or it can start monitoring after being indicated or activated by the network-side device.

[0056] (4) Monitoring result reporting resource indication, used to indicate the time-frequency domain resource location configured for the terminal to report the monitoring results.

[0057] For example, the monitoring result reporting resource indicator can indicate the location of time-frequency domain resources used by the terminal to report the monitoring results.

[0058] (5) Monitoring result reporting time indicator, used to indicate the reporting time of the monitoring result by the terminal.

[0059] That is, the network-side equipment configures the terminal to report the specific time of the test results by indicating the reporting time of the monitoring results.

[0060] In one implementation, the information indicator may specifically include at least one of the following (1) to (7):

[0061] (1) Channel correlation coefficient.

[0062] The channel correlation coefficient can refer to the correlation of the channel response over time, the correlation of the channel response over frequency, or a combination of both. In wireless communication systems, the channel correlation coefficient can be calculated by acquiring the channel state in real time, and then used for subsequent processing. In this application, the current channel state can be determined by monitoring the channel correlation coefficient.

[0063] (2) Speed ​​ratio.

[0064] The speed ratio can be the channel transmission rate, which refers to the amount of data that can be transmitted on the channel per unit time. In this application, the current environment of the terminal can be determined by monitoring the speed ratio.

[0065] (3) Doppler frequency.

[0066] The Doppler frequency refers to the change in apparent frequency based on the Doppler effect. For example, when a terminal is in motion, the signal frequencies of the mobile terminal and network-side equipment change, and the Doppler frequency can be determined based on the frequency difference between the transmitted signal sent from the mobile terminal and the received signal reflected back from the network-side equipment.

[0067] In wireless communication systems, the performance of the entire system can be optimized by Doppler frequency. For example, network-side devices can optimize channel estimation by Doppler frequency shift. The moving speed of the terminal can also be obtained by Doppler frequency shift. Therefore, in this application, the current environment and driving status of the terminal can be determined by monitoring the Doppler frequency.

[0068] (4) Maximum Doppler shift.

[0069] The maximum Doppler shift refers to the maximum Doppler shift that can occur when the frequency of the transmitted signal and the speed of the target are constant. For example, if the frequency of the signal transmitted by the mobile terminal remains constant and the speed of the terminal's movement is constant, then under normal circumstances, the measured Doppler shift will not exceed the maximum Doppler shift. It is understood that the maximum Doppler shift can be predetermined regardless of signal transmission or reception. If the measured Doppler frequency exceeds the maximum Doppler shift, a measurement error is determined, and correction can be performed.

[0070] (5) Environmental indications.

[0071] Among them, the environment indication refers to the corresponding environment configuration information that the terminal has under the corresponding network operating environment.

[0072] (6) Network-side device identification.

[0073] The network-side device identifier can include the network-side device name, network-side device ID, etc., such as the base station ID. By monitoring the network-side device identifier, the environment in which the terminal is located can be determined.

[0074] (7) Address location indication. The address location indication may include the terminal's location information, or the terminal's movement path, or the terminal's area identifier, such as the cell identifier, location area (LA) identifier, routing area identifier, tracking area identifier, etc., which are not limited here.

[0075] In another implementation, the performance metrics include at least one of the following:

[0076] (1) Normalized mean square error of the channel prediction model.

[0077] Normalized Mean Square Error (NMSE) is a statistical measure of model performance, used to measure the deviation between predicted and actual values, thereby evaluating the accuracy of the model.

[0078] (2) Cosine similarity (GCS) of channel prediction model.

[0079] Cosine similarity (GCS) measures the difference between two individuals by calculating the cosine of the angle between them. Cosine similarity can accurately measure the precision of a channel prediction model.

[0080] (3) Squared generalized cosine similarity (SGCS) of the channel prediction model.

[0081] (4) Throughput.

[0082] Throughput refers to the number of requests processed by the channel prediction model per unit time. By monitoring the throughput, it can be determined whether the channel parameters predicted by the channel prediction model are appropriate, and thus determine whether the channel prediction model currently used by the terminal is appropriate.

[0083] (5) Block Error Rate (BLER).

[0084] Block Error Rate (BLER) refers to the percentage of erroneous blocks out of all transmitted blocks. In practical applications, when BLER needs to be measured and calculated, the transmitting end can calculate BLER by the number of received Negative Acknowledgements (NACKs). In a communication system, BLER refers to the probability of errors in a transmitted block after CRC checksum verification; it is the ratio of erroneous blocks to the total number of received blocks. By monitoring the block error rate, it is possible to determine whether the channel parameters predicted by the channel prediction model are appropriate, and thus whether the channel prediction model currently used by the terminal is suitable.

[0085] (6) Acknowledgement (ACK) from the terminal. By monitoring the ACK from the terminal, it can be determined whether the terminal has successfully received data, and thus whether the channel parameters predicted by the channel prediction model are appropriate, and further determine whether the channel prediction model currently used by the terminal is appropriate.

[0086] (7) Negative Acknowledgment (NACK) fed back by the terminal; by monitoring the NACK fed back by the terminal, it is possible to determine the current situation of the terminal receiving data failure, thereby determining whether the channel parameters predicted by the channel prediction model are appropriate, and further determining whether the channel prediction model currently used by the terminal is appropriate.

[0087] Understandably, during downlink data transmission, network-side equipment transmits data to the terminal via the Physical Downlink Shared Channel (PDSCH), while simultaneously transmitting DCI 1 (indicating the time-frequency position of the PDSCH) on the PDCCH. DCI 0 may also be transmitted on the PDCCH. The terminal detects the DCI sent to it on the PDCCH, decodes the control information within, and, according to the control information, receives the data sent to it at the corresponding PDSCH position, performing a Cyclic Redundancy Check (CRC) check. If the terminal has data to transmit to the network-side equipment, it transmits a CRC check (ACK / NACK) at the PUSCH position indicated by DCI 0; if the UE has no uplink data to transmit, it transmits a CRC check to the network-side equipment via the PUCCH. If the network-side equipment receives an ACK, it continues transmitting the next data; if it receives a NACK, it retransmits the data. Therefore, the performance of the channel model can be measured by the positive acknowledgment (ACK) and negative acknowledgment (NACK) returned by the terminal.

[0088] (8) Transmission rate.

[0089] The transmission rate refers to the speed at which data is transmitted. By monitoring the transmission rate, it can be determined whether the channel parameters predicted by the current channel prediction model are appropriate.

[0090] (9) Modulation and coding scheme (MCS).

[0091] MCS refers to the coding and modulation techniques used on the wireless channel. By adjusting the modulation method and coding rate of the wireless link transmission, the transmission quality of the link is ensured.

[0092] S420: The terminal monitors the target indicator according to the monitoring pre-configuration information.

[0093] In one implementation, the terminal monitors the target indicator based on the monitoring pre-configuration information, which may specifically include at least one of the following (1) to (2):

[0094] (1) When the monitoring time included in the monitoring pre-configuration information arrives, the terminal monitors the target indicator according to the monitoring pre-configuration information.

[0095] It is understandable that the terminal can monitor the target indicator according to the monitoring time in the monitoring pre-configuration information configured by the network-side device, that is, the terminal will not monitor the target indicator before the monitoring time arrives.

[0096] (2) Upon receiving an instruction signaling sent by the network-side device, the terminal monitors the target indicator according to the instruction signaling and the monitoring pre-configuration information.

[0097] It is understandable that after receiving the instruction signaling sent by the network-side device, the terminal can monitor the target indicator according to the monitoring pre-configuration information.

[0098] In this implementation, the terminal does not monitor the target indicator before the monitoring time arrives or if it has not received an instruction signal, thus avoiding the occupation of terminal resources. However, when the monitoring time arrives or an instruction signal is received, the terminal begins monitoring the target indicator, enabling more explicit and precise monitoring.

[0099] S430: The terminal determines target information that is compatible with the monitoring results based on the monitoring results.

[0100] The target information includes at least one of the following: a target channel prediction model and configuration information of the target channel prediction model. That is, the terminal can determine, based on monitoring results, the channel prediction model to be used by the terminal, and / or determine the configuration information of the channel prediction model to be used.

[0101] Understandably, based on the monitoring results, the terminal can determine the target channel prediction model that matches the monitoring results, switch the current channel prediction model to the target channel prediction model, or determine the configuration information of the target channel prediction model that matches the monitoring results.

[0102] It should be noted that the target channel prediction model that is compatible with the monitoring results can be a channel prediction model that has been configured on the terminal by the network-side device. If the network-side device has not configured a target channel prediction model that is compatible with the monitoring results on the terminal, or if the configuration information of the channel prediction model currently used by the terminal needs to be modified, the terminal can determine the configuration information of the target channel prediction model that is compatible with the monitoring results. The network-side device will then reallocate the target channel prediction model or reconfigure the channel prediction model for the terminal based on the configuration information of the target channel prediction model determined by the terminal.

[0103] In this application, the target information that is compatible with the monitoring results refers to target information that can match the monitoring results. For example, prediction models for different speed ranges can be stored in advance according to the speed range (e.g., a prediction model for speeds of 10~30kmph and a prediction model for speeds of 30~40kmph). Each prediction model for each speed range contains specific prediction model parameters for that speed range. If the terminal uses the prediction model for that speed range, the prediction accuracy will be very accurate. If the speed range does not match the prediction model, it may seriously affect the prediction results.

[0104] In one implementation, the configuration information of the target channel prediction model may include at least one of the following (1) to (2):

[0105] (1) Data preprocessing method of the target channel prediction model. This configuration information can determine what preprocessing is required before the data is input into the target channel prediction model.

[0106] In one implementation, the data preprocessing method includes at least one of the following: data filtering, data transformation, and data interpolation.

[0107] (2) Input data configuration of the target channel prediction model. This configuration determines the input data of the target channel prediction model.

[0108] In one implementation, the input data configuration includes at least one of the following:

[0109] (1) The correspondence between the Channel State Information-Reference Signal (CSI-RS) configuration and the information indicators; that is, the input data of the target channel prediction model includes the correspondence between the CSI-RS configuration and the information indicators;

[0110] (2) The correspondence between the Sounding Reference Signal (SRS) configuration and the information indicators; that is, the input data of the target channel prediction model includes the correspondence between the SRS configuration and the information indicators;

[0111] (3) Channel State Information Reference Signal (CSI-RS) configuration; that is, the configuration information of the CSI-RS input to the target channel prediction model, such as the resource configuration and / or reporting method configuration of the CSI-RS.

[0112] (4) Detection Reference Signal (SRS) configuration; that is, the configuration information of the SRS input to the target channel prediction model, such as the resource configuration and / or reporting method configuration of the SRS.

[0113] (5) Data type of the input prediction model. That is, the data type of the input target channel prediction model, such as the original channel, codebook, Doppler rating, Doppler shift, etc.

[0114] In one implementation, the target information can be determined by the terminal based on monitoring results. Therefore, in this implementation, the terminal determining target information compatible with the monitoring results includes: the terminal selecting target information compatible with the monitoring results. For example, the network-side device pre-configures at least one channel prediction model for the terminal, and the terminal can select a compatible channel prediction model as the target channel prediction model, i.e., the currently used channel prediction model, based on the monitoring results.

[0115] For example, in one implementation, the terminal selecting target information adapted to the monitoring results based on the monitoring results may include: when the terminal first triggers monitoring of the target indicator or when the terminal first triggers channel prediction, the terminal selects a first channel prediction model adapted to the monitoring results of the information indicator as the target channel prediction model. Optionally, when selecting the first channel prediction model, the terminal may also select configuration information of the first channel prediction model.

[0116] In the above implementation, it can be understood that the first time the terminal triggers the monitoring of the target indicator or the first time the terminal triggers the channel prediction can mean that the terminal does not currently have a channel prediction model in use, that is, there is no activated channel prediction model. If the network side device pre-configures multiple channel prediction models for the terminal, after the terminal obtains the monitoring results of the monitoring of the information indicator, it can directly select the channel prediction model that matches the monitoring results from the multiple channel prediction models as the target channel prediction model.

[0117] For example, in another implementation, the terminal selects target information adapted to the monitoring results based on the monitoring results, including: when the terminal is not triggering the monitoring of the target indicator for the first time or when the terminal is not triggering the channel prediction for the first time, the terminal obtains a first comparison result between the first monitoring result and the first historical monitoring result of the information indicator, and a second comparison result between the second monitoring result and the second historical monitoring result of the performance indicator, based on the first monitoring result of the information indicator and the second monitoring result of the performance indicator. Based on the first comparison result and the second comparison result, the terminal reselects a second channel prediction model as the target channel prediction model, or reselects the configuration information of the first channel prediction model, where the first channel prediction model is the channel prediction model currently used by the terminal or the channel prediction model currently activated by the terminal.

[0118] In the above implementation, since the terminal's monitoring of the target indicator or channel prediction is not the first time it has been triggered, it can mean that the terminal currently has a channel prediction model in use, i.e., an activated channel prediction model already exists. After obtaining the first monitoring result for the information indicator and the second monitoring result for the performance indicator, the terminal compares the first monitoring result with the first historical monitoring result of the information indicator to obtain a first comparison result, and compares the second monitoring result with the second historical monitoring result of the performance indicator to obtain a second comparison result. If the network-side device pre-configures multiple channel prediction models for the terminal, the terminal can directly select the channel prediction model that matches the first and second comparison results as the target channel prediction model based on the first and second comparison results, or the terminal can redetermine the configuration information of the currently activated channel prediction model based on the first and second comparison results.

[0119] In one implementation, after the terminal determines the target information that matches the monitoring results based on the monitoring results, the method further includes: the terminal sending first indication information to the network-side device, wherein the first indication information is used to indicate the target information.

[0120] In this implementation, after the terminal determines the target information that matches the monitoring results based on the monitoring results, it reports the monitoring results to the network-side device by sending the first instruction information, so that the network-side device can obtain the terminal's current status information in a timely manner, thereby improving the efficiency of information interaction.

[0121] In another implementation, the method further includes: in the absence of target information that matches the monitoring results, the terminal sends second indication information to the network-side device, wherein the second indication information is used to instruct the network-side device to decide on the target information.

[0122] In this implementation, if the terminal cannot determine the target information that matches the monitoring results based on the monitoring results, it sends a second indication message to the network-side device to request the network-side device to make a decision about the target information based on the monitoring results. This enables the network-side device to quickly make a decision about the target information for the terminal based on the second indication message, thereby avoiding the terminal from monitoring the target indicators for a long time based on the mismatched channel prediction model, which would affect the terminal's prediction capability.

[0123] In one implementation, the terminal may report the monitoring results, and the network-side device may determine the target information based on the information reported by the terminal and notify the terminal. Therefore, in this implementation, S430 may include the following steps:

[0124] Step 1: The terminal sends a target monitoring report to the network-side device, wherein the target monitoring report is used to indicate the monitoring results;

[0125] Step 2: The terminal receives a notification instruction sent by the network-side device, wherein the notification instruction is used to indicate the target information.

[0126] Understandably, the terminal can send a target monitoring report to the network-side device. After the network-side device determines the target information based on the target monitoring results, the terminal will receive a notification instruction sent by the network-side device, thereby confirming the target information.

[0127] In one implementation, the terminal sending a target monitoring report to the network-side device may include: upon the terminal first triggering monitoring of the target indicator or the terminal first triggering channel prediction, the terminal sending a first monitoring report to the network-side device, wherein the first monitoring report includes the monitoring results of the information indicator. The target monitoring report includes the first monitoring report.

[0128] It is understandable that the first time the terminal triggers the monitoring of the target indicator or the first time the terminal triggers the channel prediction can mean that the terminal does not currently have a channel prediction model in use, that is, there is no activated channel prediction model. After obtaining the monitoring results of the information indicator, the terminal can send a first monitoring report to the network side device. The first monitoring report includes the monitoring results of the information indicator.

[0129] In another implementation, the terminal sending a target monitoring report to the network-side device may include: when the terminal is not triggering monitoring of the target indicator for the first time or when the terminal is not triggering channel prediction for the first time, the terminal sending a second monitoring report to the network-side device, wherein the second monitoring report includes at least one of the following: a first monitoring result of the information indicator, a first comparison result between the first monitoring result and a first historical monitoring result of the information indicator, a second monitoring result of the performance indicator, a second comparison result between the second monitoring result and a second historical monitoring result of the performance indicator, a model reselection instruction for instructing the network-side device to reselect a channel prediction model, and a conversion instruction for instructing the network-side device to update the configuration information of the target channel prediction model; wherein the target monitoring report includes the second monitoring report.

[0130] It is understandable that "not the first time the terminal has triggered monitoring of the target indicator" or "not the first time the terminal has triggered channel prediction" can mean that the terminal currently has a channel prediction model in use, i.e., an active channel prediction model already exists. After obtaining the first monitoring result of monitoring the information indicator and the second monitoring result of monitoring the performance indicator, the terminal compares the first monitoring result with the first historical monitoring result of the information indicator to obtain a first comparison result, and compares the second monitoring result with the second historical monitoring result of the performance indicator to obtain a second comparison result. Then, the first monitoring result, the first comparison result, the second monitoring result, the second comparison result, along with a model reselection instruction for instructing the network-side device to reselect a channel prediction model and a conversion instruction for instructing the network-side device to update the configuration information of the target channel prediction model, are sent to the network-side device as a second monitoring report.

[0131] In the above implementation, for example, if the terminal cannot determine the target information that matches the monitoring results based on the monitoring results, it can send a corresponding monitoring report to the network-side device, which will then determine the target information that matches the monitoring results. This can effectively improve the efficiency of configuring a channel prediction model with high matching degree for the terminal. Of course, it is not limited to this; the terminal can also directly report the monitoring results to the network-side device after receiving them, and the network-side device can then determine the target information.

[0132] In the above implementation, the terminal can send a target monitoring report based on the monitoring result reporting resource indication and / or monitoring result reporting time indication included in the monitoring pre-configuration information. For example, the terminal can send the target monitoring report on the time-frequency domain resource of the monitoring result reporting resource indication at the reporting time of the monitoring result reporting time indication.

[0133] In the above implementation method, the specific content included in the target monitoring report reported by the terminal can be determined according to the configuration of the network-side equipment.

[0134] In one implementation, the first historical monitoring result may include one of the following: the most recent monitoring result of the information indicator, the most recent N monitoring results of the information indicator, the average of the most recent N monitoring results of the information indicator, and the weighted average of the most recent N monitoring results of the information indicator.

[0135] The second historical monitoring result may include one of the following: the most recent monitoring result of the performance indicator, the most recent N monitoring results of the performance indicator, the average of the most recent N monitoring results of the performance indicator, or the weighted average of the most recent N monitoring results of the performance indicator;

[0136] Where N is an integer greater than 1.

[0137] In this implementation method, using historical monitoring results as a reference can further improve the accuracy of the terminal's monitoring of target indicators.

[0138] In the above implementation, if the configuration compares the results with the average of N monitoring results, the terminal needs to wait for the N+1 monitoring results to be collected before it can compare the results with the average of the N monitoring results. If the configuration specifies the most recent result, the terminal also needs to wait for the next monitoring result to be available before it can perform the comparison. It should be noted that if the configured reporting content includes comparison results, the terminal can report other content without waiting for the comparison results to be available.

[0139] In one implementation, the first comparison result may include one of the following: the correlation between the first monitoring result and the first historical monitoring result, the difference between the first monitoring result and the first historical monitoring result, and the ratio of the first monitoring result to the first historical monitoring result; the second comparison result may include one of the following: the difference between the second monitoring result and the second historical monitoring result, and the ratio of the first monitoring result to the first historical monitoring result.

[0140] This implementation method enables multi-dimensional comparison between current monitoring results and historical monitoring results, which can more comprehensively and accurately improve the accuracy of terminal monitoring of target indicators.

[0141] In this embodiment, the terminal uses monitoring pre-configuration information configured by the network-side device to instruct the terminal to monitor target indicators. Based on the monitoring results of the target indicators, the terminal determines target information that matches the monitoring results. The target information includes at least one of the following: a target channel prediction model and configuration information of the target channel prediction model. This can solve the problem of a sharp drop in system performance due to the mismatch between the channel prediction model and the environment and link status when performing channel prediction, thereby improving the prediction performance of the terminal and thus improving the performance of the terminal system.

[0142] Figure 5 This diagram illustrates a flowchart of a method for indicating pre-configured information monitoring according to an embodiment of this application. This method 500 can be executed by a network-side device. In other words, the method can be executed by software or hardware installed on the network-side device. Figure 5 As shown, the method may include the following steps.

[0143] S510: Network-side devices configure monitoring pre-configuration information for terminals through configuration signaling.

[0144] The monitoring pre-configuration information is used to instruct the terminal to monitor the target indicators in order to determine the target information adapted to the terminal based on the monitoring results. The target information includes at least one of the following: target channel prediction model and configuration information of the target channel prediction model.

[0145] Wherein, the target channel prediction model is the channel prediction model used by the terminal; the target index includes at least one of the following: an information index, used to indicate the network environment information of the terminal; and a performance index, used to indicate the performance of the channel prediction model currently used by the terminal.

[0146] The monitoring pre-configuration information in method 500 is the same as that in method 400. For details, please refer to the relevant description in method 400, which will not be repeated here.

[0147] In this embodiment of the application, the network-side device sends configuration signaling to the terminal. For example, the network-side device can configure monitoring pre-configuration information for the terminal to monitor target indicators through Radio Resource Control (RRC). Based on the terminal's monitoring results of the target indicators, the target information adapted to the terminal is determined, thereby further improving the matching degree between the current environment of the terminal and the channel prediction model, and thus improving the prediction performance of the terminal.

[0148] In one implementation, after the network-side device configures monitoring pre-configuration information for the terminal through configuration signaling, the method further includes: the network-side device receiving first indication information sent by the terminal, wherein the first indication information is used to indicate the target information selected by the terminal that is compatible with the monitoring results.

[0149] Understandably, the network-side device sends configuration signaling to the terminal to configure monitoring pre-configuration information for the terminal. The terminal monitors the target indicators according to the monitoring pre-configuration information, obtains the monitoring results, and reports the target information that matches the monitoring results to the network-side device through the first indication information. The network-side device can receive the first indication information sent by the terminal, making the interaction between the terminal and the network-side device more efficient and transparent.

[0150] In one implementation, after the network-side device configures monitoring pre-configuration information for the terminal through configuration signaling, the method further includes: the network-side device receiving a target monitoring report sent by the terminal, wherein the target monitoring report is used to indicate the monitoring results of the target indicator; and the network-side device determining and indicating the target information of the terminal based on the target monitoring report and the terminal's current service information.

[0151] The target monitoring report is the same as that in method 400. The terminal can use the relevant description in method 400 to send the target monitoring report to the network-side device. For details, please refer to the relevant description in method 400, which will not be repeated here.

[0152] Understandably, after receiving the target monitoring report sent by the terminal, the network-side device can determine the target information based on the target monitoring results and the terminal's current service information. This allows the network-side device to quickly make decisions regarding the target information for the terminal based on the second indication information, thus avoiding prolonged monitoring of target indicators by the terminal based on a mismatched channel prediction model, which could negatively impact the terminal's prediction capabilities. Optionally, after determining the target information, the network-side device sends a notification instruction to the terminal, which indicates the target information.

[0153] In one implementation, the target monitoring report includes either the first monitoring report or the second monitoring report, wherein the first monitoring report includes: the monitoring results of the information indicator; the second monitoring report includes at least one of the following: the first monitoring result of the information indicator, a first comparison result between the first monitoring result and the first historical monitoring result of the information indicator, the second monitoring result of the performance indicator, a second comparison result between the second monitoring result and the second historical monitoring result of the performance indicator, a model reselection instruction for instructing the network-side device to reselect the channel prediction model, and a conversion instruction for instructing the network-side device to update the configuration information of the target channel prediction model.

[0154] It is understood that when the network-side device first instructs the terminal to monitor the target indicator or when the network-side device first configures monitoring pre-configuration information for the terminal, the target monitoring report includes a first monitoring report. When the network-side device does not first instruct the terminal to monitor the target indicator or configure monitoring pre-configuration information for the terminal, the target monitoring report includes a second monitoring report.

[0155] In one implementation, the network-side device determines and instructs the terminal on the target information based on the target monitoring report and the terminal's current service information, including one of the following:

[0156] (1) When the current service of the terminal still needs to continue for a certain period of time, and the service packet feedback success rate of the terminal and the monitoring results meet the first preset conditions, the network side device selects the target prediction model for the terminal and activates or instructs the terminal to use the target prediction model to perform channel prediction.

[0157] The first preset condition includes at least one of the following:

[0158] a) The success rate of the service package feedback is lower than the first threshold. And the second monitoring result of the performance indicator is lower than the second threshold value b;

[0159] b) The success rate of the service package feedback is lower than the first threshold. And the second comparison result is lower than the third threshold value c.

[0160] (2) When the current service of the terminal still needs to continue for a certain period of time, and the service packet feedback success rate of the terminal and the monitoring result meet the second preset condition, the network side device determines and instructs the terminal to use the configuration information of the target channel prediction model in the subsequent time period;

[0161] The second preset condition includes at least one of the following:

[0162] a) The success rate of the service package feedback is [ , Any value in ], and the second monitoring result of the performance indicator is lower than the second threshold value b; wherein, The fourth threshold value,

[0163] b) The success rate of the service package feedback is [ , Any value in ], and the second comparison result is lower than the third threshold value c.

[0164] (3) If the current service of the terminal still needs to continue for a certain period of time, and the service packet feedback success rate of the terminal and the monitoring results meet the third preset condition, the network-side device determines and instructs the terminal to maintain the current configuration of the target channel prediction model; wherein, the third preset condition includes: the service packet feedback success rate is greater than the fourth threshold value. .

[0165] Understandably, in the above implementation, when it is determined that the terminal service needs to persist for a certain period of time, the network-side device determines the target information based on the current terminal service status, the success rate of service packet feedback, and monitoring results. Specifically, this can be achieved by:

[0166] (1) If the success rate of the business package feedback is lower than the first threshold Furthermore, if the second monitoring result of the performance indicator is lower than the second threshold value b, or the success rate of the service package feedback is lower than the first threshold value. Furthermore, if the second comparison result is lower than the third threshold value c, it indicates that the terminal is in a poor performance condition at this time, and the channel prediction model has a very low matching degree with the current channel state. Model selection and conversion are required. The network-side device will reactivate or instruct the terminal to use a new prediction model. Therefore, the network-side device selects a target prediction model for the terminal and activates or instructs the terminal to use the target prediction model for channel prediction.

[0167] (2) If the success rate of the service package feedback is [ , Any value in ] and the second monitoring result of the performance indicator is lower than the second threshold value b, or the success rate of the service package feedback is [ , If any value in the above is true and the second comparison result is lower than the third threshold value c, it indicates that the terminal is in a poor performance state and the channel prediction model does not match the current channel state well. However, it is not necessary to switch the channel prediction model. The network side device only needs to determine and instruct the terminal to use the configuration information of the target channel prediction model in the subsequent time period.

[0168] (3) If the success rate of the business package feedback is greater than the fourth threshold. This indicates that although the performance indicators are not up to standard, the system performance of the terminal is within an acceptable range. Therefore, the network-side device determines that no modification is needed, and the network-side device determines and instructs the terminal to maintain the current configuration of the target channel prediction model.

[0169] In the above implementation, the network-side device makes a decision that meets the corresponding conditions based on the received target monitoring report and the current service information of the terminal. It can accurately configure a channel prediction model that is highly matched with the current terminal operating environment, thereby improving the terminal's prediction capability.

[0170] In the above implementation, the second monitoring result of the performance indicator can be one or more of NMSE, SGCS, throughput, BLER, ACK / NAK, transmission rate, MCS, and bit rate.

[0171] In the above implementation, optionally, the network side determines the configuration information of the target channel prediction model used by the terminal in subsequent time periods, which may include one of the following:

[0172] (1) The network-side device determines the configuration information of the target channel prediction model to be used in the subsequent time period based on the conversion instruction reported by the terminal;

[0173] It is understandable that after receiving the conversion instruction reported by the terminal, the network-side device determines the configuration information of the target channel prediction model for the terminal based on the conversion instruction.

[0174] (2) The network-side device acquires the configuration information of the target channel prediction model that matches the information index and / or the first comparison result.

[0175] Understandably, if the terminal is reporting monitoring results for the first time, the monitoring results will only include information indicators, and the network-side equipment will determine the configuration information of the target channel prediction model that matches it based on the information indicators. If the terminal is reporting monitoring results before, the monitoring results may include information indicators and / or the first comparison result, and the network-side equipment may determine the configuration information of the target channel prediction model that matches it based on the information indicators and / or the first comparison result.

[0176] In one implementation, the subsequent time period is determined based on the amount of historical data that the target channel prediction model needs to input once and the CSI-RS period.

[0177] In one implementation, the success rate of the service packet feedback includes at least one of the following: the success rate of the terminal in the service packet feedback in M ​​consecutive historical times; the success rate of the terminal in the feedback of the Hybrid Automatic Repeat Request (HARQ) process in M ​​consecutive historical times; where M is an integer greater than 0.

[0178] Through the technical solutions provided in the embodiments of this application, the base station can use the monitoring index results to select, reselect, or process and configure the channel prediction model, thereby further improving the matching degree between the current terminal environment or link status and the prediction model, enhancing prediction performance, and thus improving the performance of the terminal system.

[0179] In the application embodiments, the network-side device can be a base station.

[0180] Figure 6 The illustration shows a flowchart of an information indicator monitoring method provided in an embodiment of the application. Specifically, this embodiment includes the following steps:

[0181] S610: Predictive monitoring process begins.

[0182] S620: Network-side devices pre-configure the terminal monitoring process.

[0183] Network-side devices pre-configure relevant pre-configurations for predictive network monitoring for terminals. These pre-configurations may include: predictive information indicators, predictive performance indicators, monitoring time, monitoring results, comparison methods for monitoring results, and specific reporting content.

[0184] S630: Network-side device activation terminal monitoring.

[0185] After the terminal is pre-configured, the network-side device can determine whether to activate the terminal for monitoring based on the Channel State Information (CSI) report or other auxiliary information. It can also be bound to prediction behavior, that is, prediction monitoring is activated at the same time as prediction activation.

[0186] S640: Collection and comparison of monitoring results.

[0187] After successful activation of terminal predictive monitoring, information and performance indicators are calculated and collected at each monitoring time point to obtain monitoring results. These results are then compared with the most recent monitoring result, or the average of the most recent N monitoring results, or the average of the most recent N historical monitoring results, or the weighted average of the most recent N historical monitoring results. It should be noted that if the comparison method is configured to compare with the average of N monitoring results, the terminal needs to wait for the collection of N+1 monitoring results before it can compare with the average of N monitoring results. If the configuration is configured to compare with the most recent result, the terminal also needs to wait for the next monitoring result to be available before comparison can be performed. Furthermore, if the network-side device pre-configures multiple predictive models for the terminal, after the performance indicator comparison results are available, model reselection or model data preprocessing can be performed directly based on the performance indicator comparison results and information indicators. If the terminal does not have or does not meet the requirements for a modifiable predictive model or model data processing method, the terminal executes S650 and waits for the network-side device to make a decision.

[0188] S650: Report monitoring results.

[0189] The terminal will report the pre-agreed reporting content to the network-side device at the specified resource location and reporting time. It should be noted that if the configured reporting content includes comparison results, the terminal can report other content before waiting for the comparison results to be available.

[0190] S660: Network-side devices determine the monitoring results.

[0191] After receiving the reported results, the network-side equipment determines whether model reselection or conversion is needed based on the current terminal service status, service packet feedback status (ACK / NACK), and the comparison results with performance indicators and / or information indicators.

[0192] After receiving the reported content, the network-side device determines whether optimization is necessary by combining the terminal's most recent M HARQ process success rates and the current remaining service packet quantity or service time. If the optimization conditions are met, further decisions are made based on the information and performance indicators in the reported results:

[0193] The success rate was below the threshold in M ​​consecutive historical HARQ process feedbacks. Furthermore, if the performance index is below threshold b, or the performance index comparison result is below threshold c, it indicates that the terminal is in a poor performance state, the prediction model has a very low match with the current channel state, and model selection and transformation are required. The network-side equipment should reactivate the model or instruct the terminal to use a new prediction model.

[0194] The success rate was at a threshold in M ​​consecutive historical HARQ process feedbacks. Between, and the performance index is below threshold b, or the performance index comparison result is below threshold c. Note: This indicates that the terminal is currently experiencing poor performance, and the prediction model's match with the current channel state is not ideal, but there is no need to switch the prediction model. Therefore, the network-side device can reconfigure the terminal's prediction-related configuration information based on the suggested data preprocessing methods and data configurations in the terminal's reported information, or the network-side device can find matching input data preprocessing methods and input data configurations based on the information indicators in the terminal's reported information and / or the information indicator comparison results, and then activate or reconfigure them.

[0195] The success rate is greater than the threshold in M ​​consecutive historical business package feedbacks. This indicates that although the performance indicators are not up to standard, the terminal's system performance is within an acceptable range. Therefore, the network-side device determines that no modifications are needed and instructs the terminal to maintain the current predicted configuration.

[0196] S670: Modify CSI-RS configuration on network-side devices.

[0197] Network-side devices can modify CSI-RS configurations based on the assessment results.

[0198] S680: Predictive monitoring process ends.

[0199] In this embodiment, an information indicator monitoring method is proposed, which enables network-side devices or terminals to select, reselect, or process and configure channel prediction models based on the monitoring indicator results. This further ensures that the current environment or link status of the terminal matches the prediction model, thereby improving prediction performance and ultimately enhancing the performance of the terminal system.

[0200] The method for determining the channel prediction model provided in this application embodiment can be executed by a subject that determines the channel prediction model. Device This application uses the method of determining the channel prediction model by the channel prediction model determination device as an example to illustrate the channel prediction model determination device provided in this application embodiment.

[0201] Figure 7 shows a schematic diagram of a channel prediction model determination device provided in an embodiment of this application, such as... Figure 7 As shown, the device 700 mainly includes: a first acquisition module 710, a monitoring module 720, and a determination module 730.

[0202] In this embodiment, the first acquisition module 710 is used to acquire monitoring pre-configuration information configured by the network-side device, wherein the monitoring pre-configuration information is used to instruct the terminal to monitor the target indicator; the monitoring module 720 is used to monitor the target indicator according to the monitoring pre-configuration information; the determination module 730 is used to determine target information adapted to the monitoring results based on the monitoring results, wherein the target information includes at least one of the following: a target channel prediction model and configuration information of the target channel prediction model; wherein the target channel prediction model is the channel prediction model used by the terminal; the target indicator includes at least one of the following: an information indicator, used to indicate the network environment information currently in which the terminal is located; and a performance indicator, used to indicate the performance of the channel prediction model currently used by the terminal.

[0203] In one implementation, the determining module 730 determines target information that is compatible with the monitoring results based on the monitoring results, including: selecting target information that is compatible with the monitoring results based on the monitoring results.

[0204] In one implementation, the determining module 730 selects target information adapted to the monitoring results based on the monitoring results, including: when the terminal triggers monitoring of the target indicator for the first time or when the terminal triggers channel prediction for the first time, selecting a first channel prediction model adapted to the monitoring results of the information indicator as the target channel prediction model according to the monitoring results of the information indicator; and / or, when the terminal does not trigger monitoring of the target indicator for the first time or when the terminal does not trigger channel prediction for the first time, obtaining a first comparison result between the first monitoring result and the first historical monitoring result of the information indicator, and a second comparison result between the second monitoring result and the second historical monitoring result of the performance indicator, based on the first monitoring result of the information indicator and the second monitoring result of the performance indicator, and reselecting a second channel prediction model as the target channel prediction model based on the first comparison result and the second comparison result, or reselecting the configuration information of the first channel prediction model.

[0205] In one implementation, the determining module 730 is further configured to: after determining target information that matches the monitoring results based on the monitoring results, send first indication information to the network-side device, wherein the first indication information is used to indicate the target information.

[0206] In one implementation, the determining module 730 is further configured to: send second indication information to the network-side device when there is no target information that matches the monitoring result, wherein the second indication information is used to instruct the network-side device to decide on the target information.

[0207] In one implementation, the determining module 730 determines target information that matches the monitoring results based on the monitoring results, including: sending a target monitoring report to the network-side device, wherein the target monitoring report is used to indicate the monitoring results; and receiving a notification instruction sent by the network-side device, wherein the notification instruction is used to indicate the target information.

[0208] In one implementation, the determining module 730 sends a target monitoring report to the network-side device, including: sending a first monitoring report to the network-side device when the terminal triggers monitoring of the target indicator for the first time or when the terminal triggers channel prediction for the first time, wherein the first monitoring report includes: the monitoring result of the information indicator; and / or, when the terminal does not trigger monitoring of the target indicator for the first time or when the terminal does not trigger channel prediction for the first time, sending a second monitoring report to the network-side device, wherein the second monitoring report includes at least one of the following: a first monitoring result of the information indicator, a first comparison result of the first monitoring result and a first historical monitoring result of the information indicator, a second monitoring result of the performance indicator, a second comparison result of the second monitoring result and a second historical monitoring result of the performance indicator, a model reselection instruction for instructing the network-side device to reselect a channel prediction model, and a conversion instruction for instructing the network-side device to update the configuration information of the target channel prediction model; wherein the target monitoring report includes the first monitoring report or the second monitoring report.

[0209] In one implementation, the first historical monitoring result includes one of the following: the most recent monitoring result of the information indicator, the most recent N monitoring results of the information indicator, the average of the most recent N monitoring results of the information indicator, and the weighted average of the most recent N monitoring results of the information indicator; the second historical monitoring result includes one of the following: the most recent monitoring result of the performance indicator, the most recent N monitoring results of the performance indicator, the average of the most recent N monitoring results of the performance indicator, and the weighted average of the most recent N monitoring results of the performance indicator; wherein, N is an integer greater than 1.

[0210] In one implementation, the first comparison result includes one of the following: the correlation between the first monitoring result and the first historical monitoring result, the difference between the first monitoring result and the first historical monitoring result, and the ratio of the first monitoring result to the first historical monitoring result; the second comparison result includes one of the following: the difference between the second monitoring result and the second historical monitoring result, and the ratio of the first monitoring result to the first historical monitoring result.

[0211] In one implementation, the configuration information of the target channel prediction model includes at least one of the following: the data preprocessing method of the target channel prediction model; and the input data configuration of the target channel prediction model.

[0212] In one implementation, the data preprocessing method includes at least one of the following: data filtering, data transformation, and data interpolation.

[0213] In one implementation, the input data configuration includes at least one of the following: the correspondence between the Channel State Information Reference Signal (CSI-RS) configuration and the information index; the correspondence between the Probe Reference Signal (SRS) configuration and the information index; the Channel State Information Reference Signal (CSI-RS) configuration; the Probe Reference Signal (SRS) configuration; and the data type of the input prediction model.

[0214] In one implementation, the monitoring pre-configuration information includes at least one of the following: third indication information for indicating the information indicator; fourth indication information for indicating the performance indicator; monitoring time for indicating the time when the terminal starts monitoring; monitoring result reporting resource indication for indicating the time-frequency domain resource location configured for the terminal to report the monitoring result; and monitoring result reporting time indication for indicating the reporting time when the terminal reports the monitoring result.

[0215] In one implementation, the information indicators include at least one of the following: channel correlation coefficient; speed ratio; Doppler frequency; maximum Doppler frequency shift; environment indication; network-side device identifier; address location indication.

[0216] In one implementation, the performance metrics include at least one of the following: normalized mean square error of the channel prediction model; cosine similarity (GCS) of the channel prediction model; squared generalized cosine similarity (SGCS) of the channel prediction model; throughput; block error rate (BLER); positive acknowledgment (ACK) from the terminal; negative acknowledgment (NACK) from the terminal; transmission rate; modulation and coding scheme (MCS).

[0217] In one implementation, the monitoring module 720 monitors the target indicator according to the monitoring pre-configuration information, including at least one of the following: when the monitoring time included in the monitoring pre-configuration information arrives, the terminal monitors the target indicator according to the monitoring pre-configuration information; when receiving an indication signaling sent by the network-side device, the terminal monitors the target indicator according to the indication of the indication signaling and the monitoring pre-configuration information.

[0218] The device for determining the channel prediction model in this application embodiment can be an electronic device, such as an electronic device with an operating system, or a component in an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal, or other devices besides a terminal. For example, the terminal can include, but is not limited to, the type of terminal 11 listed above; other devices can be servers, network attached storage (NAS), etc., and this application embodiment does not specifically limit the type.

[0219] The channel prediction model determination device provided in this application embodiment can realize the functions shown in Figures 4 to 5. Figure 6 The various processes implemented on the terminal in the method embodiment achieve the same technical effect, and will not be described again here to avoid repetition.

[0220] Figure 8 shows a schematic diagram of a device for monitoring pre-configuration information provided in an embodiment of this application. As shown in Figure 8, the device 800 mainly includes a second acquisition module 810 and a configuration module 820.

[0221] In this embodiment, the second acquisition module 810 is used to acquire the monitoring pre-configuration information of the terminal; the configuration module 820 is used to configure the monitoring pre-configuration information for the terminal through configuration signaling. The monitoring pre-configuration information is used to instruct the terminal to monitor target indicators to determine target information adapted to the terminal based on the monitoring results. The target information includes at least one of the following: a target channel prediction model and configuration information of the target channel prediction model; wherein the target channel prediction model is the channel prediction model used by the terminal; the target indicators include at least one of the following: information indicators, used to indicate the network environment information currently in which the terminal is located; and performance indicators, used to indicate the performance of the channel prediction model currently used by the terminal.

[0222] In one implementation, after configuring monitoring pre-configuration information for the terminal via configuration signaling, the configuration module 820 is further configured to: receive first indication information sent by the terminal, wherein the first indication information is used to indicate the target information selected by the terminal that is compatible with the monitoring results.

[0223] In one implementation, the configuration module 820 is further configured to: after configuring monitoring pre-configuration information for the terminal through configuration signaling, receive a target monitoring report sent by the terminal, wherein the target monitoring report is used to indicate the monitoring results of the target indicator; and determine and indicate the target information of the terminal based on the target monitoring report and the current service information of the terminal.

[0224] In one implementation, the target monitoring report includes either the first monitoring report or the second monitoring report, wherein the first monitoring report includes: the monitoring results of the information indicator; the second monitoring report includes at least one of the following: the first monitoring result of the information indicator, a first comparison result between the first monitoring result and the first historical monitoring result of the information indicator, the second monitoring result of the performance indicator, a second comparison result between the second monitoring result and the second historical monitoring result of the performance indicator, a model reselection instruction for instructing the network-side device to reselect the channel prediction model, and a conversion instruction for instructing the network-side device to update the configuration information of the target channel prediction model.

[0225] In one implementation, the configuration module 820 determines and instructs the terminal on the target information based on the target monitoring report and the terminal's current service information, including: when the terminal's current service needs to continue for a certain period of time, and the terminal's service packet feedback success rate and the monitoring results meet the first preset condition, selecting the target prediction model for the terminal, and activating or instructing the terminal to use the target prediction model for channel prediction; wherein the first preset condition includes at least one of the following: the service packet feedback success rate is lower than a first threshold value. The second monitoring result of the performance indicator is lower than the second threshold value b; the success rate of the service package feedback is lower than the first threshold value b. And the second comparison result is lower than the third threshold value c.

[0226] In one implementation, the configuration module 820 determines and instructs the terminal's target information based on the target monitoring report and the terminal's current service information, including: when the terminal's current service needs to continue for a certain period of time, and the terminal's service packet feedback success rate and the monitoring results meet the second preset condition, determining and instructing the configuration information of the target channel prediction model used by the terminal in the subsequent time period; wherein, the second preset condition includes at least one of the following: the service packet feedback success rate is [ , Any value in ] and the second monitoring result of the performance indicator is lower than the second threshold value b; the success rate of the service package feedback is [ , Any value in ], and the second comparison result is lower than the third threshold value c; wherein, The fourth threshold value, .

[0227] In one implementation, the configuration module 820 determines the configuration information of the target channel prediction model to be used by the terminal in the subsequent time period, including one of the following: determining the configuration information of the target channel prediction model to be used in the subsequent time period according to the conversion instruction reported by the terminal; or taking the configuration information of the target channel prediction model that matches the information index and / or the first comparison result.

[0228] In one implementation, the subsequent time period is determined based on the amount of historical data that the target channel prediction model needs to input once and the CSI-RS period.

[0229] In one implementation, the configuration module 820 determines and instructs the terminal on the target information based on the target monitoring report and the terminal's current service information, including:

[0230] If the current service of the terminal needs to continue for a certain period of time, and the service packet feedback success rate of the terminal and the monitoring results meet the third preset condition, then determine and instruct the terminal to maintain the current configuration of the target channel prediction model; wherein, the third preset condition includes: the service packet feedback success rate is greater than a fourth threshold value. .

[0231] In one implementation, the service packet feedback success rate includes at least one of the following: the success rate of the terminal in M ​​consecutive historical service packet feedbacks; the success rate of the terminal in M ​​consecutive historical HARQ process feedbacks; where M is an integer greater than 0.

[0232] The indicator device for monitoring pre-configuration information provided in this application embodiment can realize the functions shown in Figures 4 to 5. Figure 6 The various processes implemented by the network-side device in the method embodiment achieve the same technical effect, and will not be described again here to avoid repetition.

[0233] like Figure 9 As shown, this application embodiment also provides a communication device 900, including a processor 901 and a memory 902. The memory 902 stores a program or instructions that can run on the processor 901. For example, when the communication device 900 is a terminal, the program or instructions executed by the processor 901 implement the various steps of the above-described method embodiment for determining the channel prediction model, and achieve the same technical effect. When the communication device 900 is a network-side device, the program or instructions executed by the processor 901 implement the various steps of the above-described method embodiment for indicating pre-configuration information, and achieve the same technical effect. To avoid repetition, further details are omitted here.

[0234] This application embodiment also provides a terminal, including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement, for example... Figure 4 The steps in the method embodiment shown are illustrated. This terminal embodiment corresponds to the above-described terminal-side method embodiment. All implementation processes and methods of the above-described method embodiments can be applied to this terminal embodiment and achieve the same technical effect. Specifically, Figure 10 A schematic diagram of the hardware structure of a terminal to implement an embodiment of this application.

[0235] The terminal 1000 includes, but is not limited to, at least some of the following components: radio frequency unit 1001, network module 1002, audio output unit 1003, input unit 1004, sensor 1005, display unit 1006, user input unit 1007, interface unit 1008, memory 1009, and processor 1010.

[0236] Those skilled in the art will understand that the terminal 1000 may also include a power supply (such as a battery) for supplying power to various components. The power supply can be logically connected to the processor 1010 through a power management system, thereby enabling functions such as managing charging, discharging, and power consumption through the power management system. Figure 10 The terminal structure shown does not constitute a limitation on the terminal. The terminal may include more or fewer components than shown, or combine certain components, or have different component arrangements, which will not be elaborated here.

[0237] It should be understood that, in this embodiment, the input unit 1004 may include a graphics processing unit (GPU) 10041 and a microphone 10042. The GPU 10041 processes image data of still images or videos obtained by an image capture device (such as a camera) in video capture mode or image capture mode. The display unit 1006 may include a display panel 10061, which may be configured in the form of a liquid crystal display, an organic light-emitting diode, etc. The user input unit 1007 includes a touch panel 10071 and at least one of other input devices 10072. The touch panel 10071 is also called a touch screen. The touch panel 10071 may include a touch detection device and a touch controller. Other input devices 10072 may include, but are not limited to, physical keyboards, function keys (such as volume control buttons, power buttons, etc.), trackballs, mice, and joysticks, which will not be described in detail here.

[0238] In this embodiment, after receiving downlink data from the network-side device, the radio frequency unit 1001 can transmit it to the processor 1010 for processing; in addition, the radio frequency unit 1001 can send uplink data to the network-side device. Typically, the radio frequency unit 1001 includes, but is not limited to, antennas, amplifiers, transceivers, couplers, low-noise amplifiers, duplexers, etc.

[0239] The memory 1009 can be used to store software programs or instructions, as well as various data. The memory 1009 may primarily include a first storage area for storing programs or instructions and a second storage area for storing data. The first storage area may store the operating system, application programs or instructions required for at least one function (such as sound playback, image playback, etc.). Furthermore, the memory 1009 may include volatile memory or non-volatile memory. The non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus RAM (DRRAM). The memory 1009 in this embodiment includes, but is not limited to, these and any other suitable types of memory.

[0240] The processor 1010 may include one or more processing units; optionally, the processor 1010 integrates an application processor and a modem processor, wherein the application processor mainly handles operations involving the operating system, user interface, and applications, and the modem processor mainly handles wireless communication signals, such as a baseband processor. It is understood that the aforementioned modem processor may also not be integrated into the processor 1010.

[0241] The processor 1010 is configured to acquire monitoring pre-configuration information configured by network-side devices, wherein the monitoring pre-configuration information is used to instruct the terminal to monitor target indicators; monitor the target indicators according to the monitoring pre-configuration information; and determine target information adapted to the monitoring results based on the monitoring results, wherein the target information includes at least one of the following: a target channel prediction model and configuration information of the target channel prediction model; wherein the target channel prediction model is a channel prediction model used by the terminal; and the target indicators include at least one of the following: information indicators, used to indicate the network environment information currently in which the terminal is located; and performance indicators, used to indicate the performance of the channel prediction model currently used by the terminal.

[0242] It is understood that the implementation process of each implementation method mentioned in this embodiment can refer to the relevant description of the method for determining the channel prediction model in the method embodiment, and achieve the same or corresponding technical effect. To avoid repetition, it will not be described again here.

[0243] This application embodiment also provides a network-side device, including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement, for example... Figure 5 The steps of the method embodiment shown are illustrated. This network-side device embodiment corresponds to the above-described network-side device method embodiment. All implementation processes and methods of the above-described method embodiments can be applied to this network-side device embodiment and can achieve the same technical effect.

[0244] Specifically, embodiments of this application also provide a network-side device. For example... Figure 11 As shown, the network-side device 1100 includes: an antenna 111, a radio frequency (RF) device 112, a baseband device 113, a processor 114, and a memory 115. The antenna 111 is connected to the RF device 112. In the uplink direction, the RF device 112 receives information through the antenna 111 and transmits the received information to the baseband device 113 for processing. In the downlink direction, the baseband device 113 processes the information to be transmitted and sends it to the RF device 112. The RF device 112 processes the received information and transmits it through the antenna 111.

[0245] The method executed by the network-side device in the above embodiments can be implemented in the baseband device 113, which includes a baseband processor.

[0246] Baseband device 113 may include, for example, at least one baseband board on which multiple chips are disposed, such as Figure 11 As shown, one of the chips is, for example, a baseband processor, which is connected to the memory 115 via a bus interface to call the program in the memory 115 and execute the network device operation shown in the above method embodiment.

[0247] The network-side device may also include a network interface 116, such as a Common Public Radio Interface (CPRI).

[0248] Specifically, the network-side device 1100 of this embodiment further includes: instructions or programs stored in memory 115 and executable on processor 114, wherein processor 114 calls the instructions or programs in memory 115 to execute. Figure 8 The methods executed by each module shown achieve the same technical effect, and to avoid repetition, they will not be described in detail here.

[0249] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described method for determining the channel prediction model, or implement the various processes of the above-described method for indicating pre-configuration information, and can achieve the same technical effect. To avoid repetition, they will not be described again here.

[0250] The processor mentioned above is the processor in the terminal described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk. In some examples, the readable storage medium may be a non-transient readable storage medium.

[0251] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface and the processor are coupled. The processor is used to run programs or instructions to implement the various processes of the above-described method embodiment for determining the channel prediction model, or to implement the various processes of the above-described method embodiment for indicating pre-configuration information, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0252] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0253] This application also provides a computer program / program product, which is stored in a storage medium and executed by at least one processor to implement the various processes of the above-described method for determining the channel prediction model, or to implement the various processes of the above-described method for indicating pre-configuration information, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0254] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0255] From the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of computer software products plus necessary general-purpose hardware platforms, and of course, they can also be implemented by hardware. The computer software product is stored in a storage medium (such as ROM, RAM, magnetic disk, optical disk, etc.) and includes several instructions to cause the terminal or network-side device to execute the methods described in the various embodiments of this application.

[0256] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other implementations under the guidance of this application without departing from the spirit and scope of the claims. All of these implementations are within the protection scope of this application.

Claims

1. A method for determining a channel prediction model, characterized in that, include: The terminal obtains monitoring pre-configuration information configured by the network-side device, wherein the monitoring pre-configuration information is used to instruct the terminal to monitor the target indicator; The terminal monitors the target indicator according to the pre-configured monitoring information; Based on the monitoring results, the terminal determines target information that is compatible with the monitoring results, wherein the target information includes at least one of the following: target channel prediction model and configuration information of the target channel prediction model; Wherein, the target channel prediction model is the channel prediction model used by the terminal; the target index includes at least one of the following: an information index, used to indicate the network environment information currently in which the terminal is located; and a performance index, used to indicate the performance of the channel prediction model currently used by the terminal. The terminal determines target information adapted to the monitoring results based on the monitoring results, including: the terminal determines a target channel prediction model adapted to the monitoring results based on the monitoring results, and switches the current channel prediction model to the target channel prediction model, or determines the configuration information of the target channel prediction model adapted to the monitoring results, wherein the configuration information of the target channel prediction model includes at least one of the following: the data preprocessing method of the target channel prediction model; the input data configuration of the target channel prediction model.

2. The method according to claim 1, characterized in that, Based on the monitoring results, the terminal determines target information that matches the monitoring results, including: When the terminal first triggers monitoring of the target indicator or first triggers channel prediction, the terminal selects a first channel prediction model that matches the monitoring results of the information indicator as the target channel prediction model, based on the monitoring results of the information indicator; and / or, If the terminal is not triggering the monitoring of the target indicator for the first time or the terminal is not triggering the channel prediction for the first time, the terminal, based on the first monitoring result of the information indicator and the second monitoring result of the performance indicator, obtains a first comparison result between the first monitoring result and the first historical monitoring result of the information indicator, and a second comparison result between the second monitoring result and the second historical monitoring result of the performance indicator. Based on the first comparison result and the second comparison result, the terminal reselects the second channel prediction model as the target channel prediction model, or reselects the configuration information of the first channel prediction model.

3. The method according to claim 1, characterized in that, After the terminal determines the target information that matches the monitoring results based on the monitoring results, the method further includes: The terminal sends a first indication message to the network-side device, wherein the first indication message is used to indicate the target information.

4. The method according to claim 1, characterized in that, The method further includes: If no target information matching the monitoring results exists, the terminal sends a second indication message to the network-side device, wherein the second indication message is used to instruct the network-side device to make a decision on the target information.

5. The method according to claim 1, characterized in that, Based on the monitoring results, the terminal determines target information that matches the monitoring results, including: The terminal sends a target monitoring report to the network-side device, wherein the target monitoring report is used to indicate the monitoring results; The terminal receives a notification instruction sent by the network-side device, wherein the notification instruction is used to indicate the target information.

6. The method according to claim 5, characterized in that, The terminal sends a target monitoring report to the network-side device, including: When the terminal first triggers monitoring of the target indicator or first triggers channel prediction, the terminal sends a first monitoring report to the network-side device, wherein the first monitoring report includes: the monitoring results of the information indicator; and / or, If the terminal is not triggering the monitoring of the target indicator for the first time or is not triggering the channel prediction for the first time, the terminal sends a second monitoring report to the network-side device. The second monitoring report includes at least one of the following: a first monitoring result of the information indicator, a first comparison result between the first monitoring result and the first historical monitoring result of the information indicator, a second monitoring result of the performance indicator, a second comparison result between the second monitoring result and the second historical monitoring result of the performance indicator, a model reselection instruction for instructing the network-side device to reselect the channel prediction model, and a conversion instruction for instructing the network-side device to update the configuration information of the target channel prediction model. The target monitoring report includes either the first monitoring report or the second monitoring report.

7. The method according to claim 2 or 6, characterized in that, The first historical monitoring result includes one of the following: the most recent monitoring result of the information indicator, the most recent N monitoring results of the information indicator, the average of the most recent N monitoring results of the information indicator, and the weighted average of the most recent N monitoring results of the information indicator; The second historical monitoring result includes one of the following: the most recent monitoring result of the performance indicator, the most recent N monitoring results of the performance indicator, the average of the most recent N monitoring results of the performance indicator, and the weighted average of the most recent N monitoring results of the performance indicator; Where N is an integer greater than 1.

8. The method according to claim 2 or 6, characterized in that, The first comparison result includes one of the following: the correlation between the first monitoring result and the first historical monitoring result, the difference between the first monitoring result and the first historical monitoring result, and the ratio between the first monitoring result and the first historical monitoring result; The second comparison result includes one of the following: the difference between the second monitoring result and the second historical monitoring result, or the ratio between the second monitoring result and the second historical monitoring result.

9. The method according to any one of claims 1 to 6, characterized in that, The data preprocessing methods include at least one of the following: data filtering, data transformation, and data interpolation.

10. The method according to any one of claims 1 to 6, characterized in that, The input data configuration includes at least one of the following: The correspondence between the Channel State Information Reference Signal (CSI-RS) configuration and information indicators; The correspondence between the SRS configuration and information indicators; Channel State Information Reference Signal (CSI-RS) configuration; Detection Reference Signal (SRS) configuration; Input the data type of the prediction model.

11. The method according to any one of claims 1 to 6, characterized in that, The monitoring pre-configuration information includes at least one of the following: The third indication information is used to indicate the information indicator; The fourth indication information is used to indicate the performance indicators; Monitoring time, used to indicate the time when the terminal begins monitoring; The monitoring result reporting resource indicator is used to indicate the location of the time-frequency domain resources configured for the terminal to report the monitoring results; The monitoring result reporting time indicator is used to indicate the time when the terminal reports the monitoring results.

12. The method according to claim 11, characterized in that, The information indicators include at least one of the following: Channel correlation coefficient; Speed ​​multiplier; Doppler frequency; Maximum Doppler shift; Environmental indications; Network-side device identification; Address location indication.

13. The method according to claim 12, characterized in that, The performance metrics include at least one of the following: Normalized mean square error of the channel prediction model; Cosine similarity (GCS) of channel prediction models; Squared generalized cosine similarity (SGCS) of channel prediction models; Throughput; Block Error Rate (BLER); The terminal sends a positive acknowledgment (ACK). The terminal sends a negative acknowledgment (NACK). Transmission rate; Modulation coding scheme (MCS).

14. The method according to any one of claims 1 to 6, characterized in that, The terminal monitors the target indicator based on the pre-configured monitoring information, including at least one of the following: When the monitoring time included in the monitoring pre-configuration information arrives, the terminal monitors the target indicator according to the monitoring pre-configuration information; Upon receiving an instruction signaling from the network-side device, the terminal monitors the target indicator according to the instruction signaling and the monitoring pre-configuration information.

15. A method for indicating pre-configured information, characterized in that, include: The network-side device configures monitoring pre-configuration information for the terminal through configuration signaling. The monitoring pre-configuration information is used to instruct the terminal to monitor target indicators in order to determine the target information adapted to the terminal based on the monitoring results. The target information includes at least one of the following: target channel prediction model and configuration information of target channel prediction model. Wherein, the target channel prediction model is the channel prediction model used by the terminal; the target index includes at least one of the following: an information index, used to indicate the network environment information of the terminal; and a performance index, used to indicate the performance of the channel prediction model currently used by the terminal. The step of determining the target information for terminal adaptation based on monitoring results includes: determining a target channel prediction model adapted to the monitoring results based on the monitoring results, switching the current channel prediction model to the target channel prediction model, or determining the configuration information of the target channel prediction model adapted to the monitoring results, wherein the configuration information of the target channel prediction model includes at least one of the following: the data preprocessing method of the target channel prediction model; the input data configuration of the target channel prediction model.

16. The method according to claim 15, characterized in that, After the network-side device configures monitoring pre-configuration information for the terminal through configuration signaling, the method further includes: The network-side device receives a first indication information sent by the terminal, wherein the first indication information is used to indicate the target information selected by the terminal that is compatible with the monitoring results.

17. The method according to claim 15, characterized in that, After the network-side device configures monitoring pre-configuration information for the terminal through configuration signaling, the method further includes: The network-side device receives a target monitoring report sent by the terminal, wherein the target monitoring report is used to indicate the monitoring results of the target indicator; The network-side device determines and instructs the terminal on the target information based on the target monitoring report and the terminal's current service information.

18. The method according to claim 17, characterized in that, The target monitoring report includes a first monitoring report or a second monitoring report, wherein the first monitoring report includes: the monitoring results of the information indicator; the second monitoring report includes at least one of the following: the first monitoring result of the information indicator, a first comparison result of the first monitoring result and the first historical monitoring result of the information indicator, the second monitoring result of the performance indicator, a second comparison result of the second monitoring result and the second historical monitoring result of the performance indicator, a model reselection instruction for instructing the network-side device to reselect the channel prediction model, and a conversion instruction for instructing the network-side device to update the configuration information of the target channel prediction model.

19. The method according to claim 18, characterized in that, The network-side device determines and instructs the terminal on the target information based on the target monitoring report and the terminal's current service information, including: If the current service of the terminal still needs to continue for a certain period of time, and the success rate of the terminal's service packet feedback and the monitoring results meet the first preset conditions, the network-side device selects the target channel prediction model for the terminal and activates or instructs the terminal to use the target channel prediction model to perform channel prediction. The first preset condition includes at least one of the following: The success rate of the service package feedback is lower than the first threshold. And the second monitoring result of the performance indicator is lower than the second threshold value b; The success rate of the service package feedback is lower than the first threshold. And the second comparison result is lower than the third threshold value c.

20. The method according to claim 19, characterized in that, The network-side device determines and instructs the terminal on the target information based on the target monitoring report and the terminal's current service information, including: If the current service of the terminal still needs to continue for a certain period of time, and the service packet feedback success rate of the terminal and the monitoring results meet the second preset conditions, the network-side device determines and instructs the terminal to use the configuration information of the target channel prediction model in the subsequent time period. The second preset condition includes at least one of the following: The success rate of the service package feedback is [ , Any value in ] and the second monitoring result of the performance indicator is lower than the second threshold value b; The success rate of the service package feedback is [ , Any value in ], and the second comparison result is lower than the third threshold value c; in, The fourth threshold value, .

21. The method according to claim 20, characterized in that, The network-side device determines the configuration information of the target channel prediction model used by the terminal in subsequent time periods, including one of the following: The network-side device determines the configuration information of the target channel prediction model to be used in the subsequent time period based on the conversion instruction reported by the terminal. The network-side device acquires the configuration information of the target channel prediction model that matches the information index and / or the first comparison result.

22. The method according to claim 20 or 21, characterized in that, The subsequent time period is determined based on the amount of historical data that the target channel prediction model needs to input in a single run and the CSI-RS period.

23. The method according to claim 18, characterized in that, The network-side device determines and instructs the terminal on the target information based on the target monitoring report and the terminal's current service information, including: If the terminal's current service needs to continue for a certain period of time, and the terminal's service packet feedback success rate and the monitoring results meet a third preset condition, the network-side device determines and instructs the terminal to maintain the current configuration of the target channel prediction model; wherein, the third preset condition includes: the service packet feedback success rate is greater than a fourth threshold value. .

24. The method according to any one of claims 19 to 21 and 23, characterized in that, The success rate of the service package feedback includes at least one of the following: The success rate of the terminal in historical M consecutive service packet feedbacks; The success rate of the terminal in the feedback of the HARQ process in M ​​consecutive historical mixed automatic repeat request (HARQ) requests; Where M is an integer greater than 0.

25. A device for determining a channel prediction model, characterized in that, include: The first acquisition module is used to acquire monitoring pre-configuration information configured by the network-side device, wherein the monitoring pre-configuration information is used to instruct the terminal to monitor the target indicator; The monitoring module is used to monitor the target indicators according to the pre-configured monitoring information. The determination module is used to determine target information that is compatible with the monitoring results based on the monitoring results, wherein the target information includes at least one of the following: target channel prediction model and configuration information of target channel prediction model; Wherein, the target channel prediction model is the channel prediction model used by the terminal; the target index includes at least one of the following: an information index, used to indicate the network environment information of the terminal; and a performance index, used to indicate the performance of the channel prediction model currently used by the terminal. The step of determining target information adapted to the monitoring results includes: determining a target channel prediction model adapted to the monitoring results based on the monitoring results, switching the current channel prediction model to the target channel prediction model, or determining the configuration information of the target channel prediction model adapted to the monitoring results, wherein the configuration information of the target channel prediction model includes at least one of the following: the data preprocessing method of the target channel prediction model; the input data configuration of the target channel prediction model.

26. An indicator device for monitoring pre-configured information, characterized in that, include: The second acquisition module is used to acquire the monitoring pre-configuration information of the terminal, wherein the monitoring pre-configuration information is used to instruct the terminal to monitor the target indicators in order to determine the target information adapted to the terminal based on the monitoring results, and the target information includes at least one of the following: target channel prediction model, configuration information of target channel prediction model; A configuration module is used to configure the monitoring pre-configuration information for the terminal through configuration signaling; wherein, the target channel prediction model is the channel prediction model used by the terminal; the target index includes at least one of the following: information index, used to indicate the network environment information of the terminal; performance index, used to indicate the performance of the channel prediction model currently used by the terminal; The step of determining the target information for terminal adaptation based on monitoring results includes: determining a target channel prediction model adapted to the monitoring results based on the monitoring results, switching the current channel prediction model to the target channel prediction model, or determining the configuration information of the target channel prediction model adapted to the monitoring results, wherein the configuration information of the target channel prediction model includes at least one of the following: the data preprocessing method of the target channel prediction model; the input data configuration of the target channel prediction model.

27. A terminal, characterized in that, It includes a processor and a memory, the memory storing a program or instructions that can run on the processor, the program or instructions being executed by the processor to implement the steps of the method for determining the channel prediction model as described in any one of claims 1 to 14.

28. A network-side device, characterized in that, It includes a processor and a memory, the memory storing a program or instructions that can run on the processor, the program or instructions being executed by the processor to implement the steps of the indication method for monitoring pre-configuration information as described in any one of claims 15 to 24.

29. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the method for determining the channel prediction model as described in any one of claims 1 to 14, or the steps of the method for indicating monitoring pre-configuration information as described in any one of claims 15 to 24.

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