Information reporting method, device, terminal and readable storage medium

By using reference signals on terminals to perform data measurement and content reporting, the performance of AI models in the network is improved, thereby enhancing system performance.

CN115913486BActive Publication Date: 2025-09-30VIVO MOBILE COMM CO LTD
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Patent Information

Application Number
CN202111113305.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2021-09-18
Publication Date
2025-09-30
Estimated Expiration
2041-09-18

AI Technical Summary

Technical Problem

How to improve the performance of AI models in the network to improve system performance.

Method used

The terminal uses the first reference signal to perform data measurement and reports first content related to the data measurement to improve the performance of the AI ​​model in the network.

Benefits of technology

By reasonably setting the first reference signal and/or the first content, the performance of the AI ​​model in the network is improved, thereby improving the system performance.

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Abstract

The present application discloses an information reporting method, apparatus, terminal, and readable storage medium, which belong to the field of communication technology. The information reporting method of an embodiment of the present application includes: a terminal uses a first reference signal (RS) to perform data measurement for an artificial intelligence (AI) model, and reports first content related to the data measurement.
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Description

Technical Field

[0001] The present application belongs to the field of communication technology, and specifically relates to an information reporting method, device, terminal and readable storage medium. Background Art

[0002] With the advancement of communications technology, artificial intelligence (AI) models are becoming an integral part of network architecture. AI models are widely used in various fields. When AI models are used to perform processing, their performance directly determines the effectiveness of the processing. Therefore, improving the performance of AI models in networks is an urgent issue. Summary of the Invention

[0003] The embodiments of the present application provide an information reporting method, device, terminal, and readable storage medium, which can solve the problem of how to improve the performance of AI models in the network.

[0004] In a first aspect, a method for reporting information is provided, comprising:

[0005] The terminal uses the first RS to measure data for the AI ​​model;

[0006] The terminal reports first content related to the data measurement.

[0007] In a second aspect, an information reporting device is provided, comprising:

[0008] a measurement module, configured to measure data for the AI ​​model using the first RS;

[0009] A reporting module is configured to report first content related to the data measurement.

[0010] In a third aspect, a terminal is provided, comprising a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0011] In a fourth aspect, a terminal is provided, comprising a processor and a communication interface, wherein the processor is used to use a first RS to perform data measurement for an AI model and report first content related to the data measurement.

[0012] In a fifth aspect, a readable storage medium is provided, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0013] In a sixth aspect, a chip is provided, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is configured to run a program or instruction to implement the steps of the method described in the first aspect.

[0014] In a seventh aspect, a computer program / program product is provided, wherein the computer program / program product is stored in a non-volatile storage medium, and the program / program product is executed by at least one processor to implement the steps of the method described in the first aspect.

[0015] In an embodiment of the present application, the terminal can use the first RS to measure data for the AI ​​model and report first content related to the data measurement. Thus, by reasonably setting the first RS and / or the first content, the performance of the AI ​​model in the network can be improved, thereby improving system performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a block diagram of a wireless communication system to which embodiments of the present application may be applied;

[0017] Figure 2 is a schematic diagram of a neural network in an embodiment of the present application;

[0018] Figure 3 is a schematic diagram of neurons in a neural network according to an embodiment of the present application;

[0019] Figure 4 This is a flow chart of an information reporting method provided by an embodiment of the present application;

[0020] Figure 5 This is a structural diagram of an information reporting device provided in an embodiment of the present application;

[0021] Figure 6 This is a schematic diagram of the structure of a terminal provided in an embodiment of the present application;

[0022] Figure 7 This is a schematic diagram of the structure of a terminal provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The following will be combined with the accompanying drawings in the embodiments of this application to clearly describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field are within the scope of protection of this application.

[0024] The terms "first," "second," and the like in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of this application can be implemented in an order other than that illustrated or described herein, and that the objects distinguished by "first" and "second" are generally of the same type, and do not limit the number of objects. For example, the first object can be one or more. In addition, the term "and / or" in the specification and claims refers to at least one of the connected objects, and the character " / " generally indicates that the objects connected are in an "or" relationship.

[0025] It is worth noting that the technology described in the embodiments of the present application is not limited to the Long Term Evolution (LTE) / LTE-Advanced (LTE-A) system, 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) and other systems. The terms "system" and "network" in the embodiments of the present application are often used interchangeably, and the technology described can be used for the systems and radio technologies mentioned above, as well as for other systems and radio technologies. The following description describes a New Radio (NR) system for illustrative purposes, and NR terminology is used in most of the following description, but these technologies can also be applied to applications other than NR system applications, such as 6th generation (6G) systems. th Generation, 6G) communication system.

[0026] Figure 1A block diagram of a wireless communication system applicable to the embodiments of the present application is shown. The wireless communication system includes a terminal 11 and a network-side device 12. The terminal 11 may also be referred to as a terminal device or user equipment (UE). The terminal 11 may be a mobile phone, a tablet personal computer, a laptop computer or a notebook computer, a personal digital assistant (PDA), a handheld computer, a netbook, an ultra-mobile personal computer (UMPC), a mobile internet device (MID), an augmented reality (AR) / virtual reality (VR) device, a robot, a wearable device (Wearable Device), a vehicle-mounted device (VUE), a pedestrian terminal (PUE), a smart home (a home appliance with wireless communication capabilities, such as a refrigerator, a television, a washing machine, or furniture), or other terminal-side devices. Wearable devices include smart watches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart bracelets, smart rings, smart necklaces, smart anklets, smart anklets, etc.), smart wristbands, smart clothing, game consoles, etc. It should be noted that the specific type of the terminal 11 is not limited in the embodiments of the present application. The network side device 12 can be a base station or a core network, where the base station can be called a node B, an evolved node B, an access point, a base transceiver station (Base Transceiver Station, BTS), a radio base station, a radio transceiver, a basic service set (Basic Service Set, BSS), an extended service set (Extended Service Set, ESS), a B node, an evolved B node (eNB), a home B node, a home evolved B node, a WLAN access point, a WiFi node, a transmitting and receiving point (Transmitting Receiving Point, TRP) or other appropriate terms in the field. As long as the same technical effect is achieved, the base station is not limited to a specific technical vocabulary. It should be noted that in the embodiment of the present application, only the base station in the NR system is taken as an example, but the specific type of the base station is not limited.

[0027] Optionally, the AI ​​model in the embodiments of the present application can be implemented in a variety of ways, such as a neural network, a decision tree, a support vector machine, a Bayesian classifier, etc. The following embodiments are described using a neural network as an example, but do not limit the specific type of AI model.

[0028] Optionally, a neural network in an embodiment of the present application can be as follows Figure 2 As shown, it includes input layer, hidden layer and output layer. The input of the input layer is X1, X2...X n , the output of the corresponding output layer is Y. The neural network is composed of neurons, which can be Figure 3 As shown. Among them, a1, a2...a K is the neuron input, w is the weight (or multiplicative coefficient), b is the bias (or additive coefficient), and σ(.) is the activation function. Common activation functions include the sigmoid function, the tanh function, and the rectified linear unit (ReLU).

[0029] In some embodiments, the parameters of the neural network are optimized by an optimization algorithm. An optimization algorithm is a type of algorithm that minimizes or maximizes an objective function (or called a loss function). The objective function is often a mathematical combination of model parameters and data. For example, given the model input data X and its corresponding label Y, a neural network model f(.) is constructed. After the model is constructed, the predicted output f(x) can be obtained based on the input data x, and the gap between the predicted value and the true value (f(x)-Y) can be calculated. This is the loss function. The purpose of neural network model training is to find suitable weights w and bias b to minimize the value of the corresponding loss function. The smaller the loss value, the closer the model is to the actual situation.

[0030] Optionally, the optimization algorithms used for neural networks in the embodiments of the present application include but are not limited to: Gradient Descent, Stochastic Gradient Descent (SGD), mini-batch gradient descent (small batch gradient descent), Momentum, Nesterov (the name of the inventor, specifically stochastic gradient descent with momentum), Adagrad (ADAptive GRADient descent, adaptive gradient descent), Adadelta, RMSprop (root mean square prop, root mean square error reduction), Adam (Adaptive Moment Estimation, adaptive momentum estimation), etc. When the error is back-propagated, these optimization algorithms all obtain the error / loss from the loss function, calculate the derivative / partial derivative of the current neuron, add the learning rate, the previous gradient / partial derivative / derivative, etc., to obtain the gradient, and pass the gradient to the previous layer.

[0031] The information reporting method, device, terminal and readable storage medium provided in the embodiments of the present application are described in detail below with reference to some embodiments and their application scenarios in conjunction with the accompanying drawings.

[0032] See Figure 4 , Figure 4 This is a flow chart of an information reporting method provided by an embodiment of the present application, which is executed by a terminal, such as Figure 4 As shown, the method includes the following steps:

[0033] Step 41: The terminal uses the first RS to measure data for the AI ​​model.

[0034] In this embodiment, the first reference signal (RS) is a special RS, which can be called but not limited to any one of the following: data acquisition RS, channel acquisition RS, channel detection RS, training RS, artificial intelligence channel state information reference signal (AI-CSI-RS), data acquisition channel state information reference signal (Channel State Information Reference Signal, CSI-RS), channel acquisition CSI-RS, training CSI-RS, etc.

[0035] The above-mentioned data measurement for the AI ​​model can be understood as: the purpose of this data measurement is for the AI ​​model in the communication module, such as for training the AI ​​model, for updating the AI ​​model, for generating the AI ​​model, for analyzing the performance of the AI ​​model, etc.

[0036] It should be noted that the data measurement in the embodiments of the present application is from the perspective of the terminal. When it comes to the AI ​​model, this data measurement can also be called data collection, which is not limited to this.

[0037] Step 42: The terminal reports first content related to data measurement.

[0038] In some embodiments, the terminal may report the first content to the network-side device. After receiving the first content, the network-side device may perform AI model training / processing / analysis operations based on the first content.

[0039] In other embodiments, the terminal may report the first content to other terminals so that the other terminals can perform AI model training / processing / analysis operations, etc. based on the first content.

[0040] In other embodiments, the network-side device can perform data measurement of the AI ​​model and send content related to the data measurement to the terminal for the terminal to perform AI model training / processing / analysis operations, etc.

[0041] In the information reporting method of the embodiment of the present application, the terminal can use the first RS to measure data for the AI ​​model and report the first content related to the data measurement. Therefore, by properly setting the first RS and / or the first content, the performance of the AI ​​model in the network can be improved, thereby improving system performance.

[0042] In some embodiments, the first RS can satisfy at least one of the following: downlink multiplexing CSI-RS, uplink multiplexing Sounding Reference Signal (SRS). In other words, the first RS is not newly defined, but the reporting of the first content is newly defined, and the performance of the AI ​​model in the network is improved by means of the newly defined reporting.

[0043] In an embodiment of the present application, in order to effectively improve the efficiency of data collection on the network side, reduce conflicts and impacts on other services / channels / signals, and reduce the signaling overhead of measurement resource configuration, the measurement resource configuration of the first RS may meet at least one of the following:

[0044] (1) The time domain configuration satisfies any of the following: non-periodic, semi-continuous, or conditional trigger.

[0045] In some embodiments, the time domain configuration of the first RS can only be aperiodic.

[0046] (2) The frequency domain configuration is full bandwidth.

[0047] In some embodiments, the first RS has full bandwidth in the activated bandwidth part (Bandwidth Part, BWP).

[0048] In some embodiments, since the first RS may not need full bandwidth configuration when reporting some information such as positioning information, DMRS channel estimation information, etc., the first RS can be configured with full bandwidth in the frequency domain only when it is used to report the original channel information.

[0049] In some embodiments, for Orthogonal Time Frequency Space (OTFS), the first RS is full bandwidth in full Doppler domain and / or full delay domain configuration.

[0050] (3) Configure when the network is idle.

[0051] In some embodiments, measurement resources for the first RS are configured only when the network is idle to ensure measurement efficiency. For example, measurement resources for the first RS are configured when the network idle rate is higher than / higher than or equal to a certain threshold and / or when the system resource occupancy rate is lower than / lower than or equal to a certain threshold.

[0052] (4) Configure within a preset time interval.

[0053] Optionally, the preset time interval may be a fixed time interval, i.e., the measurement resources of the first RS can be configured only within the fixed time interval. The preset time interval may be set based on actual needs. For example, the measurement resources of the first RS can be configured only from time T1 in the evening of the same day to time T2 the next day.

[0054] (5) The resource allocation is performed within a preset time interval, and the resource allocation ratio is lower than the first threshold.

[0055] Optionally, the preset time interval may be a fixed time interval, which may be set based on actual needs. The first threshold may be set based on actual needs, which is not limited thereto.

[0056] For example, from T3 to T4 in one day, the measurement resources occupied by the first RS are lower than the first threshold.

[0057] (6) The first information is not transmitted and / or received within a measurement gap.

[0058] The measurement gap is used for measuring the first RS.

[0059] In some embodiments, within the measurement gap, the terminal does not expect to send and / or receive the first information.

[0060] Optionally, the first information may include but is not limited to at least one of the following:

[0061] 1) Preset reference signals; for example, Synchronization Signal and PBCH block (SSB), CSI-RS, Tracking Reference Signal (TRS), Phase Tracking Reference Signal (PTRS), Sounding Reference Signal (SRS), etc.

[0062] 2) Transport channels; for example, Physical Downlink Shared Channel (PDSCH), Physical Uplink Shared Channel (PUSCH), etc.

[0063] 3) Control channels; for example, Physical Downlink Control Channel (PDCCH), Physical Uplink Control Channel (PUCCH), etc.

[0064] In the embodiment of the present application, different filtering methods can be used for the above data measurement results. The terminal can perform any of the following on the above data measurement results:

[0065] No filtering is performed, including no L1 filtering and / or no L3 filtering. This filtering method can ensure that the measurement data is instantaneous and is not affected by the measurement data before and after.

[0066] Only L1 filtering is performed, and L3 filtering is not performed. This filtering method can make the measurement data no longer instantaneous, but smoother and with relatively small time variability.

[0067] L1 filtering and L3 filtering are performed; that is, both L1 filtering and L3 filtering are performed; this filtering method enables the measurement data to represent comprehensive characteristics over a period of time.

[0068] In the above content, L1 filtering is also called layer 1 filtering, and L3 filtering is also called layer 3 filtering.

[0069] Optionally, when performing conflict resolution, the priority of the first RS may be lower than the priority of at least one of the following: PDCCH, PDSCH, PUSCH, PUCCH, SSB, CSI-RS, SRS, PTRS, TRS, etc. This allows data measurement for the AI ​​model to minimize the impact on other channel transmissions or signal transmissions.

[0070] In some embodiments, the priority of the first RS is lower than the priority of the above-mentioned channel and / or RS.

[0071] Optionally, in order to reduce the overhead of configuration signaling, the maximum number of antenna ports of the first RS may be the same as the maximum number of antenna ports of the target RS; or, the number of antenna ports of the first RS may be the same as the number of antenna ports of the target RS.

[0072] In some embodiments, the target RS may be a non-zero power (NZP) CSI-RS. For example, the maximum number of antenna ports of the first RS is the same as the maximum number of ports of the NZP-CSI-RS.

[0073] In an embodiment of the present application, the reporting of the first content can be similar to CSI-RS and / or CSI reporting, but the content, accuracy, usage, etc. are different, so that the training / processing operations of the AI ​​model can be performed based on the first content, which can improve the performance of the AI ​​model.

[0074] Optionally, the first content may include but is not limited to at least one of the following:

[0075] 1) Pre-coding Matrix Indicator (PMI)

[0076] 2) Beamforming vector.

[0077] 3) Beamforming matrix information.

[0078] 4) Channel quality. For example, the channel quality may include, but is not limited to, at least one of the following: Channel Quality Indication (CQI), Rank Indication (RI), Layer Indicator (LI), Signal-to-Noise Ratio (SNR), Signal-to-Interference plus Noise Ratio (SINR), signal power, noise power, interference power, etc.

[0079] 5) Original channel information.

[0080] Optionally, the original channel information may include but is not limited to at least one of the following: ① channel matrix, such as channel information from each antenna / TXRU at the transmitting end to each antenna / TXRU at the receiving end, including amplitude, phase, etc.; ② characteristic information of the channel matrix, such as eigenvectors / singular vectors / SVD vectors / eigenvalues / singular values, etc. obtained by singular value decomposition (SVD); ③ vectors / matrices / values, etc. obtained by other decompositions of the channel matrix other than SVD, such as triangular factorization, QR decomposition (QRFactorization), Cholesky decomposition, spectral decomposition, etc.

[0081] 6) Beam information. For example, the beam information includes but is not limited to at least one of the following: layer 1 reference signal received power (L1-RSRP), layer 1 signal quality (SINR), layer 1 reference signal received quality (L1-RSRQ), L3-RSRP, L3-SINR, L3-RSRQ, etc.

[0082] 7) Time domain stability information, that is, the degree of change of channel information within a period of time.

[0083] Optionally, the time-domain stability information may include, but is not limited to, at least one of the following channel information: variance, worst value, difference between best and worst values, range of variation, difference between current value and limit value, and mathematical combinations thereof. Mathematical combinations may include combinations of various common mathematical operations, such as addition, subtraction, multiplication, division, Nth power, Nth square root, logarithm, derivative, and partial derivative. N is an arbitrary number. For example, N can be positive, negative, or 0, and can be a real or complex number.

[0084] In one embodiment, the time domain stability information is the difference between the current CQI value and the limit value. For example, if the current CQI is x1 and the best CQI within a period of time is x2, then the difference between the current CQI value and the limit value is x1-x2.

[0085] In another embodiment, the temporal stability information is the range of RI. For example, if the highest RI value is x1 and the lowest RI value is x2 within a period of time, the range of RI is [x2, x1] or [x1, x2].

[0086] 8) Large-scale parameters.

[0087] Optionally, the large-scale parameter is a large-scale channel parameter or a large-scale channel parameter, such as Doppler shift, Doppler spread, average delay and / or delay spread.

[0088] 9) Location information: Optionally, the location information is the location information of the terminal.

[0089] Optionally, the first content reported by the terminal may include at least one of the following:

[0090] Channel data between this cell and this terminal;

[0091] The channel data between this cell and other terminals is forwarded by this terminal;

[0092] Channel data between neighboring cells and the terminal;

[0093] Channel data between this terminal and other terminals.

[0094] It can be understood that a channel is a communication path formed by a sending end and a receiving end, that is, a sending end and a receiving end need to form a communication path in order to form a channel.

[0095] Optionally, this terminal and other terminals may be in the same cell.

[0096] Optionally, in addition to the above content, the first content may further include at least one of the following:

[0097] RS identification ID; with the help of RS ID, the RS corresponding to the report can be clearly identified, that is, which RS the report corresponds to;

[0098] Terminal ID, such as the current terminal ID and / or terminal ID; with the help of the terminal ID, it is possible to clearly identify the terminal to which the report corresponds, i.e., which terminal the report corresponds to;

[0099] Cell ID; with the help of the cell ID, the corresponding cell can be clearly reported, that is, which cell the report corresponds to.

[0100] Optionally, the above-mentioned cell ID may include at least one of the following items: physical cell ID, service cell ID, transmission and reception point (Transmission Reception Point, TRP) ID, tracking area (Tracking Area) ID, cell group ID, reference signal (Reference Signal, RS) identifier associated with the cell (for example, the synchronization signal block (SynchronizationSignal and PBCH block, SSB) index index is associated with the cell, and a certain SSB index represents a certain cell), etc.

[0101] Optionally, the reporting format of the first content may satisfy at least one of the following:

[0102] 1) The first content is quantized information. For example, the characteristic information of the channel matrix obtained by the terminal measurement is originally a floating point number, which is quantized into a fixed point number / bit stream.

[0103] 2) Different types of reported content in the first content use different quantization levels. For example, the first content includes beam quality information and original channel information. The beam quality information and the original channel information are of different types, and the quantization level of the beam quality information is different from the quantization level of the original channel information.

[0104] 3) The quantization level of the first content is different from the quantization level reported by the CSI.

[0105] In some embodiments, for traditional beam quality reporting, the CSI-reporting configuration ReportConfig is configured as 'none', 'CSI-RS resource indication cri-RSRP', 'cri-SINR', 'cri-RSRQ', 'ssb-Index-RSRP', 'ssb-Index-SINR', 'ssb-Index-RSRQ'.

[0106] In some embodiments, for traditional CSI reporting, the CSI-reporting configuration ReportConfig is configured as 'cri-RI-PMI-CQI', 'cri-RI-i1', 'cri-RI-i1-CQI', and 'cri-RI-CQI'.

[0107] Optionally, the reporting period of the first content may include: in time domain configuration, satisfying any one of the following: non-periodic, semi-continuous, and conditional triggering.

[0108] In some embodiments, the reporting period of the first content can only be non-periodic in terms of time domain configuration.

[0109] Optionally, the reporting bearer of the first content may include at least one of the following:

[0110] 1) Physical layer, such as PUSCH, uplink non-control channel, etc.

[0111] 2) Higher layers, such as the Media Access Control (MAC) Control Element (CE);

[0112] 3) Application layer; for example, the first content is sent as business data.

[0113] In this way, the first content can be reported with the help of the physical layer / high layer / application layer.

[0114] In some embodiments, when the terminal performs data measurement for the AI ​​model, the number of CSI processing units (CSI processing units) for the data measurement is the same as the number of resources of the first RS, so as to collect the channel information measured on the resources of each first RS during the measurement to avoid missing information.

[0115] Optionally, when the terminal measures data for the AI ​​model, the time taken for the data measurement may meet any of the following conditions:

[0116] 1) From the first time unit of the first RS's resources to the last reported time unit. Time units may include, but are not limited to, symbols, time slots, etc. For example, the occupancy time measured by the terminal may start from the first symbol of the first RS's resources, i.e., from the earliest symbol, to the last reported symbol.

[0117] 2) Starting from the earliest occupation time of the resources of the first RS to the last reported occupation time.

[0118] Optionally, in order to enable the terminal and the network-side device to handle conflicts in the same manner and to handle conflicts based on the importance of transmission, that is, to prioritize the transmission of highly important content, the conflict handling of the first content may satisfy at least one of the following:

[0119] Rule 1: Conflict handling is performed based on time domain behavior or bearer channels.

[0120] Optionally, this rule 1 includes at least one of the following:

[0121] The priority of non-periodic reporting is higher than that of semi-continuous reporting;

[0122] Semi-continuous reporting has a higher priority than periodic reporting;

[0123] The priority of non-periodic reporting is higher than that of periodic reporting;

[0124] The priority reported through the PUSCH is higher than the priority reported through the PUCCH.

[0125] Rule 2: Conflict resolution based on CSI reporting type.

[0126] Optionally, this rule 2 may be: the reporting priority of the first content is lower than the priority of at least one of the following: non-periodic CSI reporting, semi-continuous CSI reporting, periodic CSI reporting, CSI reporting for beam management, etc.

[0127] In some embodiments, the channel for semi-persistent CSI reporting may be PUSCH and / or PUCCH.

[0128] In some embodiments, the reporting priority of the first content is lower than the reporting priority of other content.

[0129] Rule 3: Conflict resolution is performed based on the serving cell and / or serving cell index.

[0130] For example, if the serving cell includes a primary cell (Pcell), a primary secondary cell (Pscell), and a secondary cell (Scell), the order of reporting priorities may be: Pcell>Pscell>Scell.

[0131] For another example, if the serving cell includes only Scells, the reporting priorities among the Scells can be arranged in ascending order according to index, such as Scell ​​1>Scell ​​2>Scell ​​3; or in descending order according to index, such as Scell ​​3>Scell ​​2>Scell ​​1.

[0132] Rule 4: Conflict resolution is performed based on the reported configuration identifier.

[0133] For example, if there are content reports corresponding to multiple reporting configurations, the reporting priorities may be arranged in ascending order according to the reporting configuration identifier, or in descending order according to the reporting configuration identifier.

[0134] In the embodiment of the present application, the first RS can be sent / received and / or the first content can be reported only when certain conditions are met. That is, the sending / receiving of the first RS and / or the reporting of the first content can be performed when at least one of the following conditions is met:

[0135] 1) The terminal and / or network-side equipment has the ability to perform corresponding operations based on the AI ​​model.

[0136] For example, the first RS and / or report is used for channel estimation. When the terminal and / or network side device has the ability to perform channel estimation based on the AI ​​model, the first RS can be sent / received and / or the first content can be reported.

[0137] For example, the first RS and / or report is used for CSI feedback. When the terminal and / or network side device has the ability to perform CSI feedback based on the AI ​​model, it can send / receive the first RS and / or report the first content.

[0138] 2) The terminal and / or network-side devices support real-time AI model training of the corresponding modules.

[0139] For example, the first RS and / or report are used for channel estimation. When the terminal and / or network side device supports real-time AI model training of the channel estimation module, the first RS can be sent / received, and / or the first content can be reported, and / or the network side device can configure the first RS, and / or the network side device can configure the reporting of the first content.

[0140] For example, the first RS and / or report is used for CSI feedback. When the terminal and / or network side device supports real-time AI model training of the CSI feedback module, the first RS can be sent / received, and / or the first content can be reported, and / or the network side device can configure the first RS, and / or the network side device can configure the reporting of the first content.

[0141] 3) The terminal and / or network-side equipment supports / allows data collection for AI models.

[0142] For example, the UE reports to the network side device, and the UE does not support / allow data collection for the AI ​​model, then it cannot send / receive the first RS and / or report the first content, and / or the network side device cannot configure the first RS, and / or the network side device cannot configure the reporting of the first content.

[0143] For another example, the UE reports to the network side device. If the UE supports / allows data collection for the AI ​​model, it can send / receive the first RS, and / or report the first content, and / or the network side device can configure the first RS, and / or the network side device can configure the reporting of the first content.

[0144] For example, if the UE does not report to the network side device whether it supports / allows data collection for the AI ​​model, it cannot send / receive the first RS, and / or report the first content, and / or the network side device cannot configure the first RS, and / or the network side device cannot configure the reporting of the first content.

[0145] For another example, if the UE does not report to the network side device whether it supports / allows data collection for the AI ​​model, it can send / receive the first RS, and / or report the first content, and / or the network side device can configure the first RS, and / or the network side device can configure the reporting of the first content.

[0146] 4) There is no data service within a preset time; or, the data service volume within the preset time is lower than a second threshold.

[0147] Optionally, the above preset time can be set based on actual needs and is not limited to this.

[0148] 5) The power level of the terminal exceeds the third threshold.

[0149] 6) The channel quality exceeds the fourth threshold.

[0150] Optionally, the channel quality may include but is not limited to at least one of the following: CQI, RI, LI, SNR, SINR, signal power, noise power, interference power, etc.

[0151] In one implementation, when the CQI exceeds a fourth threshold, the first RS may be sent / received and / or the first content may be reported.

[0152] 7) The first interference is lower than the fifth threshold.

[0153] Optionally, the first interference may be at least one of the following: intra-cell interference, inter-cell interference, other terminal interference, terminal own module interference, etc.; there is no limitation on this.

[0154] 8) The first noise power is lower than the sixth threshold.

[0155] Optionally, the first noise power may be selected as at least one of the following: noise at a receiving module of the terminal, noise of modules other than the receiving module of the terminal, noise at a sending module on the network side, and noise of modules other than the sending module on the network side.

[0156] 9) The transmission power of the terminal and / or network-side equipment is higher than the seventh threshold.

[0157] 10) The first frequency domain bandwidth exceeds the eighth threshold.

[0158] Optionally, the first frequency domain bandwidth may be selected as the frequency domain bandwidth used by the terminal and / or the network side device. For example, all frequency domain bandwidths available to the terminal, the frequency domain bandwidth of the terminal activating the BWP, the frequency domain bandwidth of the terminal's primary cell and / or secondary cell and / or primary and secondary cell, all frequency domain bandwidths available to the network side device, the frequency domain bandwidth of the network side device activating the BWP, the frequency domain bandwidth of the network side device's primary cell and / or secondary cell and / or primary and secondary cell, and there is no limitation on this.

[0159] It should be noted that the above-mentioned first threshold, second threshold, third threshold, fourth threshold, fifth threshold, sixth threshold, seventh threshold and eighth threshold can be the same or different, and can be set based on actual needs, without limitation.

[0160] It should be noted that the information reporting method provided in the embodiments of the present application can be executed by an information reporting device, or a control module in the information reporting device for executing the information reporting method. In the embodiments of the present application, the information reporting device provided in the embodiments of the present application is described by taking the information reporting device executing the information reporting method as an example.

[0161] See Figure 5 , Figure 5 This is a schematic diagram of the structure of an information reporting device provided in an embodiment of the present application, which is applied to a terminal, such as Figure 5 As shown, the information reporting device 50 includes:

[0162] a measurement module 51, configured to measure data for an AI model using a first RS;

[0163] The reporting module 52 is configured to report first content related to the data measurement.

[0164] Optionally, the first RS satisfies at least one of the following:

[0165] CSI-RS is multiplexed in downlink and SRS is multiplexed in uplink.

[0166] Optionally, the measurement resource configuration of the first RS satisfies at least one of the following:

[0167] The time domain configuration meets any of the following conditions: non-periodic, semi-continuous, or conditional trigger;

[0168] The frequency domain configuration is full bandwidth;

[0169] Configure when the network is idle;

[0170] Configure within a preset time interval;

[0171] The resource allocation is within the preset time interval, and the resource allocation ratio is lower than the first threshold;

[0172] The first information is not sent and / or received during the measurement interval.

[0173] Optionally, the first information includes at least one of the following:

[0174] Preset reference signal, transmission channel, and control channel.

[0175] Optionally, the information reporting device 50 further includes:

[0176] An execution module is configured to execute any one of the following based on the measurement result of the data:

[0177] No filtering is performed;

[0178] Only L1 filtering is performed, not L3 filtering;

[0179] Perform L1 filtering and L3 filtering.

[0180] Optionally, the priority of the first RS is lower than the priority of at least one of the following:

[0181] Physical downlink control channel PDCCH, physical downlink shared channel PDSCH, physical uplink shared channel PUSCH, physical uplink control channel PUCCH, synchronization signal block SSB, CSI-RS, SRS, phase tracking reference signal PTRS, tracking reference signal TRS.

[0182] Optionally, the maximum number of antenna ports of the first RS is the same as the maximum number of antenna ports of the target RS; or, the number of antenna ports of the first RS is the same as the number of antenna ports of the target RS.

[0183] Optionally, the first content includes at least one of the following:

[0184] Precoding matrix indicator PMI;

[0185] beamforming vector;

[0186] Beamforming matrix information

[0187] Channel quality;

[0188] Original channel information;

[0189] Beam information;

[0190] Time domain stability information;

[0191] Large-scale parameters;

[0192] Location information.

[0193] Optionally, the first content includes at least one of the following:

[0194] Channel data between this cell and this terminal;

[0195] Channel data between this cell and other terminals;

[0196] Channel data between neighboring cells and the terminal;

[0197] Channel data between this terminal and other terminals.

[0198] Optionally, the first content further includes at least one of the following:

[0199] Reference signal identification;

[0200] Terminal identification;

[0201] Cell ID.

[0202] Optionally, the reporting format of the first content satisfies at least one of the following:

[0203] The first content is quantified information;

[0204] Different types of reported content in the first content use different quantization levels;

[0205] The quantization level of the first content is different from the quantization level reported by the CSI.

[0206] Optionally, the reporting period of the first content includes: in time domain configuration, satisfying any one of the following: non-periodic, semi-continuous, and conditional triggering.

[0207] Optionally, the reporting bearer of the first content includes at least one of the following:

[0208] Physical layer;

[0209] senior management;

[0210] Application layer.

[0211] Optionally, the number of CSI processing units for the data measurement is the same as the number of resources of the first RS.

[0212] Optionally, the occupancy time of the data measurement satisfies any one of the following:

[0213] Starting from the first time unit of the resource of the first RS until the last time unit reported;

[0214] Starting from the earliest occupation time of the resources of the first RS to the last reported occupation time.

[0215] Optionally, the conflict handling of the first content satisfies at least one of the following:

[0216] Conflict handling based on time domain behavior or bearer channels;

[0217] Conflict resolution based on CSI reporting type;

[0218] Perform conflict handling based on serving cell and / or serving cell index;

[0219] Conflict resolution is performed based on the reported configuration identifier.

[0220] Optionally, the conflict handling according to the time domain behavior or the bearer channel includes at least one of the following:

[0221] The priority of non-periodic reporting is higher than that of semi-continuous reporting;

[0222] Semi-continuous reporting has a higher priority than periodic reporting;

[0223] The priority of non-periodic reporting is higher than that of periodic reporting;

[0224] The priority reported through the PUSCH is higher than the priority reported through the PUCCH.

[0225] Optionally, when conflict processing is performed based on the CSI reporting type, the reporting priority of the first content is lower than the priority of at least one of the following: non-periodic CSI reporting, semi-continuous CSI reporting, periodic CSI reporting, and CSI reporting for beam management.

[0226] Optionally, the sending and receiving of the first RS and / or the reporting of the first content are performed when at least one of the following conditions is met:

[0227] The terminal and / or network-side device has the ability to perform corresponding operations based on the AI ​​model;

[0228] The terminal and / or network-side device supports real-time AI model training of the corresponding module;

[0229] The terminal and / or network-side device supports data collection for the AI ​​model;

[0230] There is no data service within the preset time; or the data service volume within the preset time is lower than the second threshold;

[0231] The battery level of the terminal exceeds a third threshold;

[0232] The channel quality exceeds the fourth threshold;

[0233] The first interference is lower than the fifth threshold;

[0234] The first noise power is lower than a sixth threshold;

[0235] The transmit power of the terminal and / or network-side device is higher than a seventh threshold;

[0236] The first frequency domain bandwidth exceeds the eighth threshold.

[0237] The information reporting device in the embodiments of the present application can be a device, a device or electronic device with an operating system, or a component, integrated circuit, or chip in a terminal. The device or electronic device can be a mobile terminal or a non-mobile terminal. For example, the mobile terminal can include but is not limited to the types of terminal 11 listed above, and the non-mobile terminal can be a personal computer (PC), a television (TV), an ATM or a self-service machine, etc., which is not specifically limited in the embodiments of the present application.

[0238] The information reporting device provided in the embodiment of the present application can achieve Figure 4 The various processes implemented by the method embodiment achieve the same technical effect and are not described here again to avoid repetition.

[0239] Optional, such as Figure 6 As shown, an embodiment of the present application also provides a terminal 60, including a processor 61, a memory 62, and a program or instruction stored in the memory 62 and executable on the processor 61. When the program or instruction is executed by the processor 61, each process of the above-mentioned information reporting method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0240] The present application also provides a terminal including a processor and a communication interface, wherein the processor is configured to utilize a first RS to measure data for an AI model and report first content related to the data measurement. The various implementation processes and implementations of the above method embodiments are applicable to the terminal embodiment and can achieve the same technical effects, and will not be further described.

[0241] Specifically, Figure 7 A schematic diagram of the hardware structure of a terminal for implementing an embodiment of the present application.

[0242] The terminal 700 includes but is not limited to: a radio frequency unit 701, a network module 702, an audio output unit 703, an input unit 704, a sensor 705, a display unit 706, a user input unit 707, an interface unit 708, a memory 709, and at least some of the components of a processor 710.

[0243] Those skilled in the art will understand that the terminal 700 may also include a power supply (such as a battery) to power each component, and the power supply may be logically connected to the processor 710 through a power management system, thereby implementing functions such as charging, discharging, and power consumption management through the power management system. Figure 7 The terminal structure shown in the figure does not constitute a limitation on the terminal. The terminal may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently, which will not be repeated here.

[0244] It should be understood that in an embodiment of the present application, the input unit 704 may include a graphics processing unit (GPU) 7041 and a microphone 7042, and the graphics processor 7041 processes the image data of a static picture or video obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The display unit 706 may include a display panel 7061, and the display panel 7061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 707 includes a touch panel 7071 and other input devices 7072. The touch panel 7071 is also called a touch screen. The touch panel 7071 may include two parts: a touch detection device and a touch controller. Other input devices 7072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and an operating stick, which will not be repeated here.

[0245] In this embodiment of the present application, the radio frequency unit 701 receives downlink data from the network-side device and transmits it to the processor 710 for processing. Furthermore, the radio frequency unit 701 transmits uplink data to the network-side device. Typically, the radio frequency unit 701 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low-noise amplifier, a duplexer, and the like.

[0246] The memory 709 can be used to store software programs or instructions and various data. The memory 709 may mainly include a program or instruction storage area and a data storage area, wherein the program or instruction storage area may store an operating system, at least one application program or instruction required for a function (such as a sound playback function, an image playback function, etc.). In addition, the memory 709 may include a high-speed random access memory and may also include a non-volatile memory, wherein the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. For example, at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device.

[0247] Processor 710 may include one or more processing units. Optionally, processor 710 may integrate an application processor and a modem processor. The application processor primarily processes the operating system, user interface, and application programs or instructions, while the modem processor primarily processes wireless communications, such as a baseband processor. It is understood that the modem processor may not be integrated into processor 710.

[0248] The processor 710 is configured to use the first RS to perform data measurement for the AI ​​model and report first content related to the data measurement.

[0249] Optionally, the first RS satisfies at least one of the following:

[0250] CSI-RS is multiplexed in downlink and SRS is multiplexed in uplink.

[0251] Optionally, the measurement resource configuration of the first RS satisfies at least one of the following:

[0252] The time domain configuration meets any of the following conditions: non-periodic, semi-continuous, or conditional trigger;

[0253] The frequency domain configuration is full bandwidth;

[0254] Configure when the network is idle;

[0255] Configure within a preset time interval;

[0256] The resource allocation is within the preset time interval, and the resource allocation ratio is lower than the first threshold;

[0257] The first information is not sent and / or received during the measurement interval.

[0258] Optionally, the first information includes at least one of the following:

[0259] Preset reference signal, transmission channel, and control channel.

[0260] Optionally, the processor 710 is configured to: perform any one of the following items based on the data measurement result:

[0261] No filtering is performed;

[0262] Only L1 filtering is performed, not L3 filtering;

[0263] Perform L1 filtering and L3 filtering.

[0264] Optionally, the priority of the first RS is lower than the priority of at least one of the following:

[0265] Physical downlink control channel PDCCH, physical downlink shared channel PDSCH, physical uplink shared channel PUSCH, physical uplink control channel PUCCH, synchronization signal block SSB, CSI-RS, SRS, phase tracking reference signal PTRS, tracking reference signal TRS.

[0266] Optionally, the maximum number of antenna ports of the first RS is the same as the maximum number of antenna ports of the target RS; or, the number of antenna ports of the first RS is the same as the number of antenna ports of the target RS.

[0267] Optionally, the first content includes at least one of the following:

[0268] Precoding matrix indicator PMI;

[0269] beamforming vector;

[0270] Beamforming matrix information

[0271] Channel quality;

[0272] Original channel information;

[0273] Beam information;

[0274] Time domain stability information;

[0275] Large-scale parameters;

[0276] Location information.

[0277] Optionally, the first content includes at least one of the following:

[0278] Channel data between this cell and this terminal;

[0279] Channel data between this cell and other terminals;

[0280] Channel data between neighboring cells and the terminal;

[0281] Channel data between this terminal and other terminals.

[0282] Optionally, the first content further includes at least one of the following:

[0283] Reference signal identification;

[0284] Terminal identification;

[0285] Cell ID.

[0286] Optionally, the reporting format of the first content satisfies at least one of the following:

[0287] The first content is quantified information;

[0288] Different types of reported content in the first content use different quantization levels;

[0289] The quantization level of the first content is different from the quantization level reported by the CSI.

[0290] Optionally, the reporting period of the first content includes: in time domain configuration, satisfying any one of the following: non-periodic, semi-continuous, and conditional triggering.

[0291] Optionally, the reporting bearer of the first content includes at least one of the following:

[0292] Physical layer;

[0293] senior management;

[0294] Application layer.

[0295] Optionally, the number of CSI processing units for the data measurement is the same as the number of resources of the first RS.

[0296] Optionally, the occupancy time of the data measurement satisfies any one of the following:

[0297] Starting from the first time unit of the first RS's resources until the last reported time unit;

[0298] Starting from the earliest occupation time of the resources of the first RS, until the last reported occupation time.

[0299] Optionally, the conflict handling of the first content satisfies at least one of the following:

[0300] Conflict handling based on time domain behavior or bearer channels;

[0301] Conflict resolution based on CSI reporting type;

[0302] Perform conflict handling based on serving cell and / or serving cell index;

[0303] Conflict resolution is performed based on the reported configuration identifier.

[0304] Optionally, the conflict handling according to the time domain behavior or the bearer channel includes at least one of the following:

[0305] The priority of non-periodic reporting is higher than that of semi-continuous reporting;

[0306] Semi-continuous reporting has a higher priority than periodic reporting;

[0307] The priority of non-periodic reporting is higher than that of periodic reporting;

[0308] The priority reported through the PUSCH is higher than the priority reported through the PUCCH.

[0309] Optionally, when conflict processing is performed based on the CSI reporting type, the reporting priority of the first content is lower than the priority of at least one of the following: non-periodic CSI reporting, semi-continuous CSI reporting, periodic CSI reporting, and CSI reporting for beam management.

[0310] Optionally, the sending and receiving of the first RS and / or the reporting of the first content are performed when at least one of the following conditions is met:

[0311] The terminal and / or network-side device has the ability to perform corresponding operations based on the AI ​​model;

[0312] The terminal and / or network-side device supports real-time AI model training of the corresponding module;

[0313] The terminal and / or network-side device supports data collection for the AI ​​model;

[0314] There is no data service within the preset time; or the data service volume within the preset time is lower than the second threshold;

[0315] The battery level of the terminal exceeds a third threshold;

[0316] The channel quality exceeds the fourth threshold;

[0317] The first interference is lower than the fifth threshold;

[0318] The first noise power is lower than a sixth threshold;

[0319] The transmit power of the terminal and / or network-side device is higher than a seventh threshold;

[0320] The first frequency domain bandwidth exceeds the eighth threshold.

[0321] The terminal 700 provided in the embodiment of the present application can realize Figure 4 The various processes implemented by the method embodiment achieve the same technical effect and are not described here again to avoid repetition.

[0322] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned information reporting method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0323] The processor is the processor in the terminal described in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), random access memory (RAM), a magnetic disk, or an optical disk.

[0324] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned information reporting method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0325] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0326] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, it should be noted that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0327] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, air conditioner, or network-side device, etc.) to execute the methods described in each embodiment of the present application.

[0328] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms without departing from the purpose of this application and the scope of protection of the claims, all of which are within the protection of this application.

Claims

1. An information reporting method, characterized in that: include: The terminal uses the first reference signal RS to measure data for the artificial intelligence AI model; The terminal reports first content related to the data measurement; The sending and receiving of the first RS and / or the reporting of the first content are performed when at least one of the following conditions is met: The terminal has the ability to perform corresponding operations based on the AI ​​model; The terminal supports data collection for AI models; The channel quality exceeds the fourth threshold; The first interference is lower than the fifth threshold; The first noise power is lower than a sixth threshold; The data measurement is used for at least one of the following: Training the AI ​​model; Updating the AI ​​model; generating the AI ​​model; Analyzing the performance of the AI ​​model; The first content includes at least one of the following: Precoding matrix indicator PMI; beamforming vector; Beamforming matrix information Original channel information; Beam information; Time domain stability information; Large-scale parameters; Location information.

2. The method according to claim 1, characterized in that The first RS satisfies at least one of the following: The downlink multiplexes the channel state information reference signal CSI-RS and the uplink multiplexes the sounding reference signal SRS.

3. The method according to claim 1, characterized in that The measurement resource configuration of the first RS satisfies at least one of the following: The time domain configuration meets any of the following conditions: non-periodic, semi-continuous, or conditional trigger; The frequency domain configuration is full bandwidth; Configure when the network is idle; Configure within a preset time interval; The resource allocation is within the preset time interval, and the resource allocation ratio is lower than the first threshold; The first information is not sent and / or received during the measurement interval.

4. The method according to claim 3, characterized in that The first information includes at least one of the following: Preset reference signal, transmission channel, and control channel.

5. The method according to claim 1, wherein The method further comprises: The terminal performs any one of the following based on the data measurement result: No filtering is performed; Only L1 filtering is performed, not L3 filtering; Perform L1 filtering and L3 filtering.

6. The method according to claim 1, characterized in that The priority of the first RS is lower than the priority of at least one of the following: Physical downlink control channel PDCCH, physical downlink shared channel PDSCH, physical uplink shared channel PUSCH, physical uplink control channel PUCCH, synchronization signal block SSB, CSI-RS, SRS, phase tracking reference signal PTRS, tracking reference signal TRS.

7. The method according to claim 1, characterized in that The maximum number of antenna ports of the first RS is the same as the maximum number of antenna ports of the target RS; or the number of antenna ports of the first RS is the same as the number of antenna ports of the target RS.

8. The method according to claim 1, characterized in that The first content also includes: Channel quality.

9. The method according to claim 1, characterized in that The first content includes at least one of the following: Channel data between this cell and this terminal; Channel data between this cell and other terminals; Channel data between neighboring cells and the terminal; Channel data between this terminal and other terminals.

10. The method according to claim 1, characterized in that The first content also includes at least one of the following: Reference signal identification; Terminal identification; Cell ID.

11. The method according to claim 1, wherein The reporting format of the first content satisfies at least one of the following: The first content is quantified information; Different types of reported content in the first content use different quantization levels; The quantization level of the first content is different from the quantization level reported by the CSI.

12. The method according to claim 1, characterized in that The reporting period of the first content includes: In the time domain configuration, any of the following conditions must be met: non-periodic, semi-continuous, or conditional trigger.

13. The method according to claim 1, wherein The reporting bearer of the first content includes at least one of the following: Physical layer; senior management; Application layer.

14. The method according to claim 1, wherein The number of CSI processing units for data measurement is the same as the number of resources of the first RS.

15. The method according to claim 1, wherein The occupancy time of the data measurement satisfies any of the following conditions: Starting from the first time unit of the resource of the first RS until the last time unit reported; Starting from the earliest occupation time of the resources of the first RS to the last reported occupation time.

16. The method according to claim 1, wherein The conflict resolution of the first content satisfies at least one of the following: Conflict handling based on time domain behavior or bearer channels; Conflict resolution based on CSI reporting type; Perform conflict handling based on serving cell and / or serving cell index; Conflict resolution is performed based on the reported configuration identifier.

17. The method according to claim 16, characterized in that The conflict handling according to the time domain behavior or the bearer channel includes at least one of the following: The priority of non-periodic reporting is higher than that of semi-continuous reporting; Semi-continuous reporting has a higher priority than periodic reporting; The priority of non-periodic reporting is higher than that of periodic reporting; The priority reported through the PUSCH is higher than the priority reported through the PUCCH.

18. The method according to claim 16, characterized in that When conflict handling is performed based on the CSI reporting type, the reporting priority of the first content is lower than the priority of at least one of the following: non-periodic CSI reporting, semi-persistent CSI reporting, periodic CSI reporting, and CSI reporting for beam management.

19. The method according to claim 1, wherein The sending and receiving of the first RS and / or the reporting of the first content are further performed when at least one of the following conditions is met: Network-side devices have the ability to perform corresponding operations based on AI models; The terminal and / or network-side device supports real-time AI model training of the corresponding module; Network-side devices support data collection for AI models; There is no data service within the preset time; or the data service volume within the preset time is lower than the second threshold; The battery level of the terminal exceeds a third threshold; The transmit power of the terminal and / or network-side device is higher than a seventh threshold; The first frequency domain bandwidth exceeds the eighth threshold.

20. An information reporting device, characterized in that: include: a measurement module, configured to measure data for the AI ​​model using the first RS; a reporting module, configured to report first content related to the data measurement; The sending and receiving of the first RS and / or the reporting of the first content are performed when at least one of the following conditions is met: The terminal has the ability to perform corresponding operations based on the AI ​​model; The terminal supports data collection for AI models; The channel quality exceeds the fourth threshold; The first interference is lower than the fifth threshold; The first noise power is lower than a sixth threshold; The data measurement is used for at least one of the following: Training the AI ​​model; Updating the AI ​​model; generating the AI ​​model; Analyzing the performance of the AI ​​model; The first content includes at least one of the following: Precoding matrix indicator PMI; beamforming vector; Beamforming matrix information Original channel information; Beam information; Time domain stability information; Large-scale parameters; Location information.

21. The device according to claim 20, characterized in that The measurement resource configuration of the first RS satisfies at least one of the following: The time domain configuration meets any of the following conditions: non-periodic, semi-continuous, or conditional trigger; The frequency domain configuration is full bandwidth; Configure when the network is idle; Configure within a preset time interval; The resource allocation is within the preset time interval, and the resource allocation ratio is lower than the first threshold; The first information is not sent and / or received during the measurement interval.

22. The device according to claim 20, characterized in that The device further comprises: An execution module is configured to execute any one of the following based on the measurement result of the data: No filtering is performed; Only L1 filtering is performed, not L3 filtering; Perform L1 filtering and L3 filtering.

23. The device according to claim 20, characterized in that The first content also includes: Channel quality.

24. The device according to claim 20, characterized in that The reporting format of the first content satisfies at least one of the following: The first content is quantified information; Different types of reported content in the first content use different quantization levels; The quantization level of the first content is different from the quantization level reported by the CSI.

25. The device according to claim 20, characterized in that The conflict resolution of the first content satisfies at least one of the following: Conflict handling based on time domain behavior or bearer channels; Conflict resolution based on CSI reporting type; Perform conflict handling based on serving cell and / or serving cell index; Conflict resolution is performed based on the reported configuration identifier.

26. The device according to claim 20, characterized in that The sending and receiving of the first RS and / or the reporting of the first content are performed when at least one of the following conditions is met: Network-side devices have the ability to perform corresponding operations based on AI models; The terminal and / or network-side devices support real-time AI model training of the corresponding modules; Network-side devices support data collection for AI models; There is no data service within the preset time; or the data service volume within the preset time is lower than the second threshold; The battery level of the terminal exceeds the third threshold; The transmit power of the terminal and / or network-side equipment exceeds the seventh threshold; The first frequency domain bandwidth exceeds the eighth threshold.

27. A terminal, characterized in that: It includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the information reporting method according to any one of claims 1 to 19.

28. A readable storage medium, characterized in that The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the information reporting method according to any one of claims 1 to 19 are implemented.

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