Terminal, wireless communication method, and base station

Abstract

A terminal according to one embodiment of the present disclosure comprises: a reception unit that receives a setting relating to a model monitoring result report; and a control unit that controls the monitoring result report. The control unit controls the timing of the monitoring result report or a channel state information (CSI) report on the basis of information associated with the monitoring result report and the CSI report. According to one embodiment of the present disclosure, it is possible to achieve suitable overhead reduction, channel estimation, and resource utilization.

Description

Terminal, wireless communication method and base station

[0001] The present disclosure relates to a terminal, a wireless communication method, and a base station in a next-generation mobile communication system.

[0002] Long Term Evolution (LTE) has been specified for the Universal Mobile Telecommunications System (UMTS) network with the aim of achieving higher data rates and lower latency (Non-Patent Document 1). Also, LTE-Advanced (3GPP Rel. 10-14) has been specified with the aim of achieving higher capacity and more advanced features than LTE (Third Generation Partnership Project (3GPP (registered trademark)) Release (Rel.) 8, 9).

[0003] Successor systems to LTE (e.g., 5th generation mobile communication system (5G), 5G+ (plus), 6th generation mobile communication system (6G), New Radio (NR), 3GPP Rel. 15 or later, etc.) are also being considered.

[0004] 3GPP TS 36.300 V8.12.0 “Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall description; Stage 2 (Release 8)”, April 2010

[0005] Regarding future wireless communication technologies, the use of artificial intelligence (AI) technologies such as machine learning (ML) for network / device control and management is being considered.

[0006] As a use case of utilizing an AI model, Channel State Information (CSI) compression using a two-sided AI model is being considered. Such a CSI compression method may be called AI-based CSI feedback and may be realized using, for example, an autoencoder.

[0007] Meanwhile, performance monitoring of AI models is being considered. The performance monitoring of AI models may be performed at a terminal (user terminal, user equipment (UE)) or at a base station (BS).

[0008] Furthermore, in the above-mentioned performance monitoring, a method for reporting the monitored results (which may also be referred to as monitored results) is being considered. Specifically, adoption of a CSI reporting framework for monitoring result reporting is being considered.

[0009] In this case, the specific operations, such as what processes should be performed between measurement (performance evaluation) and reporting, are not clear.Further studies are being conducted on the CSI reporting framework.

[0010] As such, if the various regulations associated with performance monitoring result reports / CSI reports are not clear, it may not be possible to achieve appropriate overhead reduction / high-precision channel estimation / high-efficiency resource utilization, which may hinder improvements in communication throughput / communication quality.

[0011] Therefore, one of the objects of the present disclosure is to provide a terminal, a wireless communication method, and a base station that can achieve suitable overhead reduction / channel estimation / resource utilization.

[0012] A terminal according to one aspect of the present disclosure includes a receiving unit that receives settings related to a monitoring result report of a model, and a control unit that controls the monitoring result report, and the control unit controls timing of the monitoring result report or the Channel State Information (CSI) report based on information associated with the monitoring result report and the CSI report.

[0013] According to one aspect of the present disclosure, it is possible to achieve favorable overhead reduction / channel estimation / resource utilization.

[0014] FIG. 1 is a diagram illustrating an example of a framework for managing an AI model. FIG. 2 is a diagram illustrating an example of CSI feedback using an encoder / decoder. FIG. 3 is a diagram illustrating an example of a life cycle management framework for performance monitoring in a UE according to an embodiment. FIG. 4 is a diagram illustrating an example of a life cycle management framework for performance monitoring in a BS according to an embodiment. FIGS. 5A and 5B are diagrams illustrating an example of AI-based beam reporting. FIG. 6 is a diagram illustrating an example of a condition for reporting CSI to a base station. FIGS. 7A and 7B are diagrams illustrating an example of a CSI calculation delay request. FIG. 8 is a diagram illustrating a time gap (Z) until CSI transmission. ｒｅｆ , Z' ｒｅｆ ) is a diagram showing an example of a two-stage beam measurement. FIG. 10 is a diagram showing an example of a CSI reference resource. FIG. 11 is a diagram showing an example of a schematic configuration of a wireless communication system according to an embodiment. FIG. 12 is a diagram showing an example of a configuration of a base station according to an embodiment. FIG. 13 is a diagram showing an example of a configuration of a user terminal according to an embodiment. FIG. 14 is a diagram showing an example of a hardware configuration of a base station and a user terminal according to an embodiment. FIG. 15 is a diagram showing an example of a vehicle according to an embodiment.

[0015] (Channel State Information (CSI) Measurement / Reporting) This section describes CSI measurement / reporting in existing NR standards (e.g., Rel. 15-17 NR). The UE generates (also referred to as determining, calculating, estimating, measuring, etc.) CSI based on a reference signal (RS) (or a resource for the RS), and transmits (also referred to as reporting, feedback, etc.) the generated CSI to a network (e.g., a base station). The CSI may be transmitted to the base station using, for example, an uplink control channel (e.g., a Physical Uplink Control Channel (PUCCH)) or an uplink shared channel (e.g., a Physical Uplink Shared Channel (PUSCH)).

[0016] In the present disclosure, the CSI may be a Channel Quality Indicator (CQI), a Precoding Matrix Indicator (PMI), a CSI-RS Resource Indicator (CRI), a SS / PBCH Block Resource Indicator (SSBRI), a Layer Indicator (LI), a Rank Indicator (RI), L1-RSRP (Layer 1 Reference Signal Received Power), L1-RSRQ (Reference Signal Received Quality), L1-SINR (Signal to Interference plus Noise Ratio), L1-SNR (Signal to Noise Ratio), information on a channel matrix (or channel coefficient), information on a precoding matrix (or precoding coefficient), a Beam / Transmission Configuration Indication (BCI), a Precoding Matrix Indicator (PMI), a CSI-RS Resource Indicator (CRI), a SS / PBCH Block Resource Indicator (SSBRI), a Layer Indicator (LI), a Rank Indicator (RI), a Layer 1 Reference Signal Received Power (L1-RSRP), a Reference Signal Received Quality (L1-RSRQ), a Signal to Interference plus Noise Ratio (L1-SINR), a Signal to Noise Ratio (L1-SNR), information on a channel matrix (or channel coefficient), information on a precoding matrix (or precoding coefficient), a Beam / Transmission Configuration Indication (BCI), a Precoding Matrix Indicator (PMI), a Beam / Transmission Configuration Indicator (BCI), a Precoding Matrix Indicator (PMI ... Precoding Matrix Indicator (PMI), a Precoding Matrix Indicator (PMI), a Precoding Matrix Indicator (PMI), a Precoding Matrix In The information may include at least one of information regarding the TCI state / spatial relation.

[0017] The RS used to generate the CSI may be, for example, at least one of a Channel State Information Reference Signal (CSI-RS), a Synchronization Signal / Physical Broadcast Channel (SS / PBCH) block, a Synchronization Signal (SS), a Demodulation Reference Signal (DMRS), etc.

[0018] In the present disclosure, RS, CSI-RS, non-zero power (NZP) CSI-RS, zero power (ZP) CSI-RS, CSI interference measurement (CSI-IM), CSI-SSB, and SSB may be interchangeable. Furthermore, CSI-RS may include other reference signals.

[0019] The UE may receive configuration information regarding CSI reporting (which may be referred to as a CSI report configuration, report setting, etc.) and control the CSI reporting based on the configuration information. The report configuration information may be, for example, a Radio Resource Control (RRC) information element (IE) "CSI-ReportConfig."

[0020] The CSI reporting configuration may include at least one of the following information: - Information about the CSI resources used for CSI measurements (resource configuration ID, e.g., "CSI-ResourceConfigId"), - Information about one or more quantities (CSI parameters) of CSI to report (report quantity information, e.g., "reportQuantity"), - Report type information indicating the time domain behavior of the reporting configuration (e.g., "reportConfigType").

[0021] In the present disclosure, a CSI resource may be interchangeably referred to as a time instance, a CSI-RS opportunity / CSI-IM opportunity / SSB opportunity, a CSI-RS resource opportunity / opportunities, a CSI opportunity, an opportunity, a CSI-RS resource / CSI-IM resource / SSB resource, a time resource, a frequency resource, an antenna port (e.g., a CSI-RS port), etc. The time unit of a CSI resource may be a slot, a symbol, etc.

[0022] The information about the CSI resource may include information about the CSI resource for channel measurement, information about the CSI resource for interference measurement (NZP-CSI-RS resource), information about the CSI-IM resource for interference measurement, and the like.

[0023] The reporting quantity information may specify any one or a combination of the above CSI parameters (eg, CRI, RI, PMI, CQI, LI, L1-RSRP, etc.).

[0024] The report type information may indicate a periodic CSI (P-CSI) report, an aperiodic CSI (A-CSI) report, or a semi-persistent CSI (SP-CSI) report.

[0025] The UE performs CSI-RS / SSB / CSI-IM measurements based on the CSI resource configuration corresponding to the CSI reporting configuration (the CSI resource configuration associated with the CSI-ResourceConfigId), and derives the CSI to report based on the measurement results.

[0026] The CSI resource configuration (e.g., CSI-ResourceConfig information element) may include a csi-RS-ResourceSetList field indicating more specific CSI-RS / SSB resources, resource type information (e.g., "resourceType") indicating the time domain behavior of the resource configuration, etc.

[0027] The resource type information may indicate a P-CSI resource, an A-CSI resource, or an SP-CSI resource.

[0028] (Application of Artificial Intelligence (AI) Technology to Wireless Communications) With regard to future wireless communications technologies, the use of AI technology such as machine learning (ML) for network / device control and management is being considered.

[0029] For example, it is being considered that terminals (user terminals, user equipment (UE)) / base stations (BSs) will utilize AI technology to improve Channel State Information (CSI) feedback (e.g., reduced overhead, improved accuracy, prediction), improve beam management (e.g., improved accuracy, prediction in the time / space domain), and improve position measurement (e.g., improved position estimation / prediction).

[0030] Based on the input information, the AI ​​model may output at least one information such as an estimate, a prediction, a selected action, a classification, etc. The UE / BS may input channel state information, reference signal measurements, etc. to the AI ​​model and output highly accurate channel state information / measurements / beam selection / location, future channel state information / radio link quality, etc.

[0031] In the present disclosure, AI may be interpreted as an object (also called a subject, object, data, function, program, etc.) that has (performs) at least one of the following characteristics: - Estimation based on observed or collected information; - Selection based on observed or collected information; - Prediction based on observed or collected information.

[0032] In the present disclosure, estimation, prediction, and inference may be used interchangeably. Also, in the present disclosure, estimate, predict, and infer may be used interchangeably.

[0033] In the present disclosure, an object may be, for example, an apparatus, device, etc., such as a UE or a BS. Also, in the present disclosure, an object may correspond to a program / model / entity that operates in the apparatus.

[0034] Also, in the present disclosure, an AI model may be interpreted as an object that has (performs) at least one of the following characteristics: - Generates an estimate by feeding information; - Predicts an estimate by feeding information; - Discovers features by feeding information; - Selects an action by feeding information.

[0035] Additionally, in this disclosure, an AI model may refer to a data-driven algorithm that applies AI techniques to generate a set of outputs based on a set of inputs.

[0036] In addition, in the present disclosure, the terms AI model, model, ML model, predictive analytics, predictive analysis model, tool, autoencoder, encoder, decoder, neural network model, AI algorithm, scheme, etc. may be interchangeable. The AI ​​model may be derived using at least one of regression analysis (e.g., linear regression analysis, multiple regression analysis, logistic regression analysis), support vector machine, random forest, neural network, deep learning, etc.

[0037] In this disclosure, the term "autoencoder" may be interchangeably referred to as any autoencoder, such as a stacked autoencoder, a convolutional autoencoder, etc. The encoder / decoder of this disclosure may employ a model such as a Residual Network (ResNet), a DenseNet, or a RefineNet.

[0038] Furthermore, in the present disclosure, the terms encoder, encoding, encode / encoded, modification / alteration / control by an encoder, compressing, compress / compressed, generating, generate / generated, etc. may be read interchangeably.

[0039] In addition, in the present disclosure, decoder, decoding, decode / decoded, modification / alteration / control by decoder, decompressing, decompress / decompressed, reconstructing, reconstruct / reconstructed, etc. may be read interchangeably.

[0040] In the present disclosure, a layer (of an AI model) may be interchangeably read as a layer (such as an input layer or an intermediate layer) used in the AI ​​model. The layer in the present disclosure may correspond to at least one of an input layer, an intermediate layer, an output layer, a batch normalization layer, a convolutional layer, an activation layer, a dense layer, a normalization layer, a pooling layer, an attention layer, a dropout layer, a fully connected layer, etc.

[0041] In this disclosure, methods for training an AI model may include supervised learning, unsupervised learning, reinforcement learning, federated learning, etc. Supervised learning may refer to the process of training a model from inputs and corresponding labels. Unsupervised learning may refer to the process of training a model without labeled data. Reinforcement learning may refer to the process of training a model from inputs (i.e., states) and feedback signals (i.e., rewards) resulting from the model's outputs (i.e., actions) in an environment with which the model interacts.

[0042] In the present disclosure, terms such as generate, calculate, derive, etc. may be interchangeable. In the present disclosure, terms such as implement, operate, operate, execute, etc. may be interchangeable. In the present disclosure, terms such as train, learn, update, retrain, etc. may be interchangeable. In the present disclosure, terms such as infer, after-training, live use, actual use, etc. may be interchangeable. In the present disclosure, signal may be interchangeable with signal / channel.

[0043] 1 is a diagram illustrating an example of a framework for managing an AI model. In this example, each stage related to an AI model is shown as a block. This example is also referred to as lifecycle management of an AI model.

[0044] The data collection stage corresponds to a stage of collecting data for generating / updating an AI model. The data collection stage may include data organization (e.g., determining which data to transfer for model training / model inference), data transfer (e.g., transferring data to an entity (e.g., UE, gNB) that performs model training / model inference), etc.

[0045] Note that data collection may refer to a process in which data is collected by a network node, a management entity, or a UE for the purpose of AI model training / data analysis / inference. In the present disclosure, the terms "process" and "procedure" may be interpreted interchangeably.

[0046] In the model training stage, model training is performed based on the data (training data) transferred from the collection stage. This stage may include data preparation (e.g., performing data preprocessing, cleaning, formatting, transformation, etc.), model training / validation, model testing (e.g., verifying whether the trained model meets a performance threshold), model exchange (e.g., transferring the model for distributed learning), and model deployment / update (deploying / updating the model to the entity that will perform model inference).

[0047] It should be noted that AI model training may refer to a process for training an AI model in a data-driven manner and obtaining a trained AI model for inference.

[0048] AI model validation may also refer to a sub-process of training that evaluates the quality of an AI model using a dataset different from the dataset used to train the model, which helps select model parameters that generalize beyond the dataset used to train the model.

[0049] AI model testing may also refer to a sub-process of training for evaluating the performance of the final AI model using a dataset different from that used for model training / validation. Note that, unlike validation, testing does not necessarily require subsequent model tuning.

[0050] In the model inference stage, model inference is performed based on the data (inference data) transferred from the collection stage. This stage may include data preparation (e.g., performing data preprocessing, cleaning, formatting, transformation, etc.), model inference, model monitoring (e.g., monitoring the performance of model inference), model performance feedback (feeding back model performance to the entity training the model), and output (providing model output to the actor).

[0051] Additionally, AI model inference may refer to the process of using a trained AI model to produce a set of outputs from a set of inputs.

[0052] Also, a UE side model may refer to an AI model whose inference is performed entirely in the UE, and a network side model may refer to an AI model whose inference is performed entirely in the network (e.g., gNB).

[0053] Also, a one-sided model may refer to a UE-side model or a network-side model. A two-sided model may refer to a pair of AI models in which joint inference is performed. Here, joint inference may include AI inference in which the inference is performed jointly across the UE and the network, e.g., a first part of the inference may be performed first by the UE and the remaining part by the gNB (or vice versa).

[0054] In addition, AI model monitoring may refer to a process for monitoring the inference performance of an AI model, and may be interchangeably read as model performance monitoring, performance monitoring, etc.

[0055] Note that model registration may refer to assigning a version identifier to a model and making the model executable by compiling it into the specific hardware used in the inference stage, and model deployment may refer to distributing (or activating) a fully developed and tested model runtime image (or execution environment image) to (or enabling) a target (e.g., UE / gNB) where inference will be performed.

[0056] An actor stage may include action triggers (e.g., deciding whether to trigger an action on another entity), feedback (e.g., feeding back information needed for training data / inference data / performance feedback), etc.

[0057] For example, training of a model for mobility optimization may be performed in, for example, Operation, Administration and Maintenance (Management) (OAM) / gNodeB (gNB) in a network (NW). In the former case, interoperability, large-capacity storage, operator manageability, and model flexibility (feature engineering, etc.) are advantageous. In the latter case, the latency of model updates and the need for data exchange for model deployment are advantageous. Inference of the above model may be performed in, for example, a gNB.

[0058] The entity that performs training / inference may vary depending on the use case (i.e., the function of the AI ​​model), which may include beam management, beam prediction, autoencoder (or information compression), CSI feedback, positioning, etc.

[0059] For example, for AI-assisted beam management based on measurement reports, the OAM / gNB may perform model training and the gNB may perform model inference.

[0060] For AI-assisted UE-assisted positioning, a Location Management Function (LMF) may perform model training and the LMF may perform model inference.

[0061] For CSI feedback / channel estimation using an autoencoder, the OAM / gNB / UE may perform model training and the gNB / UE may perform model inference (jointly).

[0062] For AI-assisted beam management or AI-assisted UE-based positioning based on beam measurements, the OAM / gNB / UE may perform model training and the UE may perform model inference.

[0063] Note that model activation may mean activating an AI model for a specific function, model deactivation may mean disabling an AI model for a specific function, and model switching may mean deactivating a currently active AI model for a specific function and activating a different AI model.

[0064] Model transfer may also refer to distributing an AI model over the air interface. This distribution may include distributing parameters of a model structure already known at the receiving end, or a new model with parameters, or both. This distribution may include a complete model or a partial model. Model download may refer to transferring a model from the network to the UE. Model upload may refer to transferring a model from the UE to the network.

[0065] (AI-Based CSI Feedback) As a use case of utilizing an AI model, CSI compression using a two-sided AI model is being considered. Such a CSI compression method may be called AI-based CSI feedback and may be realized using, for example, an autoencoder.

[0066] 2 is a diagram illustrating an example of CSI feedback using an encoder / decoder. The UE inputs CSI to an encoder and transmits information (CSI feedback information) including encoded bits output from an antenna. The BS inputs the received CSI feedback information bits to a corresponding decoder to obtain the output CSI.

[0067] The input CSI may include, for example, information on channel coefficients (elements of a channel matrix) or information on precoding coefficients (elements of a precoding matrix). In other words, the CSI may correspond to information on the channel state in the space-frequency domain. Note that the input may include information other than CSI.

[0068] The CSI output from the decoder may be reconstructed CSI corresponding to the input to the encoder, or may be CSI different from the input to the encoder (e.g., information on precoding coefficients if the input information is information on channel coefficients).

[0069] The encoder / decoder may also include pre-processing for the input and post-processing for the output.

[0070] The encoded bits are more compressed than the input information before encoding, and this is expected to reduce the communication overhead required for CSI feedback.

[0071] (Lifecycle Management Framework for Performance Monitoring) In the following, each step in the lifecycle management framework for performance monitoring at the UE / BS will be described for AI-based CSI feedback.

[0072] FIG. 3 illustrates an example lifecycle management framework for performance monitoring in a UE according to an embodiment.

[0073] In the performance monitoring step, the UE monitors the performance of the model and the fallback scheme (non-AI based CSI feedback).

[0074] In the step of model evaluation at the UE, the UE evaluates the performance of the monitored / reported model and fallback scheme (non-AI based CSI feedback).

[0075] In the performance reporting step, the UE reports the monitored performance to the NW.

[0076] In the step of model evaluation in the NW, the NW evaluates the performance of the reported model and fallback scheme.

[0077] In the model request step, the UE sends a request to the NW regarding which model should be applied or whether a fallback scheme should be applied.

[0078] In the model activation / deactivation step, the UE may be instructed which scheme (model) to activate. The UE may activate a model or a fallback scheme.

[0079] Note that some of the steps shown in the figure (for example, steps indicated by dashed lines) may be performed as needed.

[0080] FIG. 4 illustrates an example lifecycle management framework for performance monitoring in a BS according to one embodiment.

[0081] In the step of reporting for performance monitoring, the UE reports information for performance monitoring in the NW (BS).

[0082] In the step of performance monitoring in the NW, the NW monitors the performance of the model and fallback scheme (non-AI based CSI feedback).

[0083] In the step of model evaluation in the NW, the NW evaluates the performance of the model and the fallback scheme.

[0084] In the model activation / deactivation step, the UE may be instructed which scheme (model) to activate. The UE may activate a model or a fallback scheme.

[0085] Note that some of the steps shown in the figure (for example, steps indicated by dashed lines) may be performed as needed.

[0086] In each embodiment described below, the steps shown in FIGS. 3 and 4 will be described in detail.

[0087] (AI-Based Beam Reporting) As a use case of utilizing an AI model, spatial domain downlink (DL) beam prediction or temporal DL beam prediction using a one-sided AI model in a UE or a NW is being considered. Such a beam prediction method may be called AI-based beam prediction (beam reporting), AI-based beam management (BM), etc.

[0088] 5A and 5B are diagrams illustrating an example of AI-based beam reporting. Fig. 5A illustrates spatial domain DL beam prediction. The UE may measure a spatially sparse (or thick) beam, input the measurement results, etc., into an AI model, and output a predicted beam quality result for a spatially dense (or thin) beam.

[0089] 5B shows temporal DL beam prediction. The UE may measure a time series of beams, input the measurement results into an AI model, and output a prediction result of the beam quality of a future beam.

[0090] Note that the spatial domain DL beam prediction may be referred to as BM case 1, and the temporal DL beam prediction may be referred to as BM case 2. Furthermore, the temporal DL beam prediction may be referred to as, for example, time domain CSI prediction.

[0091] Furthermore, the beams / RS associated with the output (prediction result) of the AI ​​model may be referred to as set A. The beams / RS associated with the input of the AI ​​model may be referred to as set B.

[0092] Candidates for input to the AI ​​model for BM Case 1 / 2 include L1-RSRP (Layer 1 Reference Signal Received Power), assistance information (e.g., beam shape information, UE position / direction information, transmit beam usage information), channel impulse response (CIR) information, and corresponding DL transmit / receive beam IDs.

[0093] Possible outputs of the AI ​​model for BM Case 1 include the IDs of the top K (K is an integer) transmit / receive beams, the predicted L1-RSRP of these beams, the probability that each beam will be in the top K, and the angles of these beams.

[0094] In addition to the candidate outputs of the AI ​​model in BM Case 1, the candidate outputs of the AI ​​model in BM Case 2 include predicted beam obstructions.

[0095] (Time Offset of CSI Prediction) It is considered that the UE performs CSI prediction using AI / ML. For time-sequential time beam prediction or time-sequential CSI prediction, predicted values ​​at multiple time instances (prediction time offsets) may be provided.

[0096] The UE may calculate predicted performance of Channel State Information (CSI) corresponding to one or more predicted time offsets and transmit the predicted performance of the CSI to the NW (base station, gNB). The predicted time offset may be, for example, the time difference between the predicted timing of the CSI and the timing of measuring or reporting the CSI.

[0097] The prediction time offset may also be defined as one of the following: Definition 1: The time difference between the time instance associated with the prediction (CSI prediction timing) and the time instance associated with the measurement used for the prediction (CSI measurement timing); Definition 2: The time difference between the time instance associated with the prediction (CSI prediction timing) and the time instance associated with reporting the predicted value (CSI predicted value reporting timing).

[0098] The time instance associated with the prediction (CSI prediction timing) may be, for example, the first / last / middle symbol / slot / subframe of the period, where the predicted value is expressed as a value corresponding to the period.

[0099] The time instance associated with the measurement used for prediction (CSI measurement timing) may be the first / last / middle symbol / slot / subframe of the particular measurement used for prediction. If measurements at multiple time instances are used for prediction, the particular measurement may be the oldest, latest, or middle measurement.

[0100] The time instance associated with the report of the predicted value (CSI predicted value reporting timing) may be the first / last / middle symbol / slot / subframe of the PUSCH / PUCCH resource carrying the report of the predicted value.

[0101] (CSI Calculation Time) An example of the CSI calculation time (processing time for aperiodic CSI reporting) will be described. The UE reports CSI to the base station (gNB) when the following conditions (1) and (2) are met: (1) The time difference #1 between the last symbol of the PDCCH that triggers CSI and the first symbol of the PUSCH is Z symbols or more; (2) When aperiodic CSI-RS is used for reporting, the time difference #2 between the last symbol of the latest aperiodic CSI-RS and the first symbol of the PUSCH is Z' symbols or more.

[0102] 6 is a diagram showing an example of conditions for reporting CSI to a base station. The time gaps (Timi gaps) #1 and #2 in (1) and (2) above are shown in FIG. 6.

[0103] (Z, Z') may depend on the CSI calculation load. In the case of wideband CSI with up to four CSI-RS ports in a single resource without CRI report, and CodebookType is 'typeI-SinglePanel' or reportQuantity is 'cri-RI-CQI' (Condition A), (Z, Z') may be defined as follows. Note that Fig. 7A and Fig. 7B are diagrams showing examples of CSI calculation delay requests. (Z, Z') = (Z １ , Z １ ') (see FIG. 7A) (Condition B: single CSI, CSI only / CSI+Transport Block (TB) / CSI+HARQ, occupied CPU=0) (Z, Z')=(Z １ , Z １ ') (see Figure 7B) (when condition B is not met)

[0104] If condition A is not satisfied, (Z, Z') may be defined as follows: (Z, Z')=(Z ２ , Z ２ ') (see Figure 7B)

[0105] If the CSI report is an L1-RSRP report, (Z, Z') may be defined as follows: (Z, Z')=(Z ３ , Z ３ ') (see Figure 7B)

[0106] Note that Xμ in FIG. 7B corresponds to the beamReportTiming of the UE capabilities. ｌ corresponds to the UE capability beamSwitchTiming. μ is min(μ PDCCH ,μ CSI-RS ,μ UL )

[0107] The UE may provide a valid CSI report (beam report) and / or update the CSI using the PUSCH if the following conditions are met: The first uplink symbol (Z) after a time gap considering Z has elapsed since the last symbol of the PDCCH that triggers the beam report ｒｅｆThe first uplink symbol (Z') of the CSI report is assigned after the last symbol of the RS (e.g., CSI-RS / SSB) resource of the channel measurement / interference measurement triggered for the CSI report measurement and the first uplink symbol (Z') after a time gap considering Z' has elapsed. ｒｅｆ ) after which the first uplink symbol for CSI reporting is allocated.

[0108] FIG. 8 shows the time gap (Z ｒｅｆ , Z' ｒｅｆ ) is a diagram showing an example of the above Z ｒｅｆ , Z' ｒｅｆ is expressed as shown in FIG.

[0109] The UE may determine at least one of the thresholds Z and Z′ based on values ​​from the CSI calculation delay requirement tables (3GPP TS 38.214 Tables 5.4-1 and 5.4-2) in the existing Rel. 15 / 16 NR.

[0110] Here, Z ｒｅｆ , Z' ｒｅｆ may be determined as follows: Z ｒｅｆ Z may be the next uplink symbol a certain duration after the end of the last symbol of the PDCCH that triggers the CSI report. The certain duration may be determined based on Z. ｒｅｆ may be the next uplink symbol after a predetermined period from the end of the latest non-periodic last symbol of the CSI-RS resource for channel measurement / CSI-IM resource for interference measurement, where the predetermined period may be determined based on Z′.

[0111] (Two-stage (stage / step) beam measurement) In future wireless communication systems (for example, Rel. 18 and later), the introduction of two-stage (stage / step) beam measurement in beam management is being considered.

[0112] In beam measurements using one-stage beam prediction, measurements of beams / RSs in one set (which may be called set B) may be performed, and predictions of beams / RSs in another set (which may be called set A) may be performed.

[0113] The CRI / SSBRI predicted to be of good quality for the top N (N is a specific positive integer) beams among those predicted may be reported, along with the beam quality (e.g., L1-RSRP / L1-SINR) corresponding to the CRI / SSBRI.

[0114] The two-stage beam prediction will be described with reference to FIG.

[0115] In beam measurements using two-stage beam prediction, measurements of beams / RSs in one set (which may be called set B) may be performed first, and then predictions of beams / RSs in another set (which may be called set A) may be performed.

[0116] Next, the top K (K is a specific positive integer) beams / RSs predicted to have good quality among the predicted beams may be measured.

[0117] Furthermore, the CRI / SSBRI of the top K' (K' is a specific positive integer) beams / RSs with the best quality among the K measured beams / RSs may be reported, along with the beam quality (e.g., L1-RSRP / L1-SINR) corresponding to the CRI / SSBRI.

[0118] In this disclosure, the first beam / RS measurement may be referred to as the first measurement or the first stage / step measurement, and in this disclosure, the beam / RS measurement performed after the first measurement may be referred to as the second measurement or the second stage / step measurement.

[0119] A timeline is being considered that takes into account performance monitoring in the two-stage beam measurement described above.

[0120] For example, the performance index calculation may be derived from multiple measurements of the DL-RS.

[0121] Here, the measurements (model inputs) required to execute the model / functionality can be exemplified by the beam measurements in Set B described above.

[0122] Furthermore, the beam measurement of set A described above can be exemplified as a measurement value for performance monitoring (for reference in performance monitoring).

[0123] In this way, the CSI report may be associated with the two types of RS resources mentioned above. Also, it is assumed that the timeline considering the performance monitoring is determined based on the measurement values ​​of the model inputs or the reference measurement values ​​of the performance monitoring.

[0124] CSI Reference Resource The CSI reference resource of the serving cell may be defined as follows: The CSI reference resource is shown in Figure 10: In the frequency domain, the band to which the derived CSI relates; In the time domain, a single DL slot n-n ＣＳＩ_ｒｅｆ -K ｏｆｆｓｅｔ Assume that the CSI report is transmitted in UL slot n' (the n'th UL slot). The relationship between n and n' is as shown in FIG. 10. That is, n is the DL slot corresponding to the UL slot n' in which the CSI report is transmitted.

[0125] For periodic CSI and semi-persistent CSI reporting, n ＣＳＩ_ｒｅｆ is the smallest value corresponding to a valid DL slot (4.2 for a single CSI-RS / SSB DL slot). μＤＬ In the case of multiple CSI-RS / SSB DL slots, μＤＬ That's all.

[0126] In the case of aperiodic CSI reporting, n ＣＳＩ_ｒｅｆ is the minimum value corresponding to a valid DL slot ([Z' / N ｓｙｍｂ ｓｌｏｔ ]) Since the UE is instructed by the DCI to report CSI in the same slot as the CSI request, n ＣＳＩ_ｒｅｆ is in the same slot as the CSI request.

[0127] After (re)configuring CSI reporting, activating a serving cell, changing BWP, or activating semi-persistent CSI, the UE may transmit a CSI report only if a CSI-RS transmission opportunity for channel measurement or a CSI Interference Measurement (CSI-IM) opportunity for interference measurement is received after the CSI reference resource. Otherwise, the UE may drop the CSI report.

[0128] If discontinuous reception (DRX) is configured, the above occasion (transmission opportunity) must be within the DRX active time, otherwise the UE may drop the CSI report.

[0129] For example, if the upper layer parameter ps-TransmitOtherPeriodicCSI is configured, the UE may transmit a CSI report within drx-onDurationTimer even if the CSI is based on an occasion when drx-onDurationTimer does not start.

[0130] If the timeRestrictionForChannelMeasurements in the higher layer parameter CSI-ReportConfig is set to "notConfigured", the UE shall derive the channel measurements for calculating the L1-RSRP reported in UL slot n (nth UL slot) based only on the SS / PBCH or NZP CSI-RS, such that the channel measurements are not later than the CSI reference resource associated with the CSI resource setting.

[0131] That is, the UE must derive the channel measurements (values) for calculating the reported values ​​after the CSI reference resource and based only on the specific RS.

[0132] In this case, it is expected that additional processing time will be required for channel measurement in performance monitoring.

[0133] Furthermore, when the UE derives CSI based on multiple CSI-RS occasions, it is assumed that the latest CSI alone may not be enough to obtain appropriate CSI.

[0134] (CSI Calculation Using AI / ML Inference) The UE may calculate the CSI using AI / ML inference. For example, the UE may apply a predicted RSRP / SINR report and an auto-encoder for CSI feedback. When the UE applies AI / ML inference, the calculation may be performed by the CPU / GPU. When the UE applies AI / ML inference to the CSI calculation, the CSI processing criteria may be extended to take into account the processing capabilities of the AI / ML.

[0135] In the current Rel. 16, the concurrent calculation of CSI is limited by the CPU capacity. If the concurrent CPU processing capacity is greater than the UE's capacity, the UE does not need to prioritize updating some CSI reports.

[0136] Specifically, in the current Rel. 16, the UE supports the number of supported simultaneous CSI calculations, N CPU is denoted by the parameters simultaneousCSI-ReportsPerCC within a component carrier and simultaneousCSI-ReportsAllCC across all component carriers. CPU Supporting simultaneous CSI calculations requires N CPU In a given OFDM symbol, if L CPUs are dedicated to the calculation of CSI reports, the UE can process N CPU -L unoccupied CPUs. CPU In the same OFDM symbol where L CPUs are not occupied, if N CSI reports start occupying their respective CPUs, each CSI report (n=0,...,N-1) CPU (n) , the UE does not need to update the N M requested CSI reports with the lowest priority (Σn=0 M-1 O CPU (n) ≦N CPU Let M be the maximum value for which -L holds (0≦M≦N).

[0137] (CPU Occupancy) CPU Occupancy O CPU The following values ​​can be set for reportQuantity: If reportQuantity is set to none (TRS is applied), O CPU = 0 is set. If reportQuantity is set to 'cri-RSRP', 'ssb-Index-RSRP', 'cri-SINR', 'ssb-Index-SINR' or 'none' (TRS is not applied), O CPU =1 is set.

[0138] In addition, in the following cases (1) to (4), O CPU =N CPU (1) At least one of AP CSI-RS and TB without HARQ-ACK is configured. (2) CPU with L=0 is occupied. (3) CSI is a single CSI in wideband, corresponding to up to four CSI-RS ports without CRI reporting. (4) codebookType is set to typeI-SinglePanel or reportQuantity is set to cri-RI-CQI.

[0139] In all other cases, with certain exceptions, CPU =K S It becomes. K S is the number of CSI-RS resources in the CSI-RS resource set for channel measurement. n=0 M-1 O CPU (n) ≦N CPU -L, CSI report updates may be performed, with a specific exception being group-based beam reporting in Rel. 17.

[0140] Based on the above, CPU usage for reporting monitor results is also being considered. In this case, it is thought that a dedicated definition is required. For example, the following calculations are required to calculate monitor results: - Calculation of inference results - Calculation of performance metrics - If the monitor results are related to the occurrence of an event, confirmation of whether the event occurred based on the performance metrics.

[0141] (Analysis) In the above-mentioned performance monitoring, a method for reporting the monitored results (which may also be called the monitored results) is being considered. Specifically, adoption of a CSI reporting framework for the monitored results reporting is being considered.

[0142] In this case, the specific operations, such as what processes should be performed between measurement (performance evaluation) and reporting, are not clear.Further studies are being conducted on the CSI reporting framework.

[0143] As such, if the various regulations associated with performance monitoring result reports / CSI reports are not clear, it may not be possible to achieve appropriate overhead reduction / high-precision channel estimation / high-efficiency resource utilization, which may hinder improvements in communication throughput / communication quality.

[0144] Therefore, the present inventors have conceived a suitable method for reporting performance monitoring results / CSI.

[0145] (Various Replacements, etc.) Hereinafter, embodiments according to the present disclosure will be described in detail with reference to the drawings. Wireless communication methods according to the embodiments may be applied independently or in combination.

[0146] In the present disclosure, "A / B" and "at least one of A and B" may be interpreted interchangeably. Also, in the present disclosure, "A / B / C" may mean "at least one of A, B, and C."

[0147] In the present disclosure, terms such as notify, activate, deactivate, indicate (or indicate), select, configure, update, and determine may be read interchangeably. In the present disclosure, terms such as support, control, controllable, operate, and operate may be read interchangeably.

[0148] In the present disclosure, Radio Resource Control (RRC), RRC parameters, RRC messages, higher layer parameters, fields, information elements (IEs), settings, etc. may be interchangeable. In the present disclosure, Medium Access Control (MAC) control elements (CEs), update commands, activation / deactivation commands, etc. may be interchangeable.

[0149] In the present disclosure, the higher layer signaling may be, for example, any one of Radio Resource Control (RRC) signaling, Medium Access Control (MAC) signaling, broadcast information, other messages (e.g., messages from the core network such as positioning protocol (e.g., NR Positioning Protocol A (NRPPa) / LTE Positioning Protocol (LPP)) messages), or a combination thereof.

[0150] In the present disclosure, MAC signaling may use, for example, a MAC Control Element (MAC CE), a MAC Protocol Data Unit (PDU), etc. Broadcast information may be, for example, a Master Information Block (MIB), a System Information Block (SIB), Remaining Minimum System Information (RMSI), Other System Information (OSI), etc.

[0151] In the present disclosure, physical layer signaling may be, for example, Downlink Control Information (DCI), Uplink Control Information (UCI), and the like.

[0152] In the present disclosure, the terms index, identifier (ID), indicator, resource ID, etc. may be interchangeable. In the present disclosure, the terms sequence, list, set, group, cluster, subset, etc. may be interchangeable.

[0153] In the present disclosure, the terms panel, UE panel, panel group, beam, beam group, precoder, Uplink (UL) transmitting entity, Transmission / Reception Point (TRP), base station, Spatial Relation Information (SRI), spatial relation, SRS Resource Indicator (SRI), Control Resource Set (CORESET), Physical Downlink Shared Channel (PDSCH), Codeword (CW), Transport Block (TB), Reference Signal (RS), antenna port (e.g., Demodulation Reference Signal (DMRS) port), antenna port group (e.g., DMRS port group), group (e.g., spatial relation group, Code Division Multiplexing (CDM) group, reference signal group, CORESET group, Physical Uplink Control Channel (PUCCH) group, PUCCH resource group), resource (e.g., reference signal resource, SRS resource), resource set (e.g., reference signal resource set), CORESET pool, downlink Transmission Configuration Indication state (TCI state) (DL TCI state), uplink TCI state (UL TCI state), unified TCI state, common TCI state, Quasi-Co-Location (QCL), QCL assumption, etc. may be read as interchangeable.

[0154] In the present disclosure, CSI-RS, non-zero power (NZP) CSI-RS, zero power (ZP) CSI-RS, and CSI interference measurement (CSI-IM) may be interchangeable. Furthermore, CSI-RS may include other reference signals.

[0155] In this disclosure, a measured / reported RS may refer to an RS that is measured / reported for a CSI report.

[0156] In the present disclosure, timing, time, duration, slot, subslot, symbol, subframe, etc. may be read interchangeably.

[0157] In the present disclosure, the terms direction, axis, dimension, domain, polarization, polarization component, etc. may be read interchangeably.

[0158] In the present disclosure, estimation, prediction, and inference may be used interchangeably. Also, in the present disclosure, estimate, predict, and infer may be used interchangeably.

[0159] In the present disclosure, the terms autoencoder, encoder, decoder, etc. may be replaced with at least one of a model, an ML model, a neural network model, an AI model, an AI algorithm, etc. Furthermore, the term autoencoder may be replaced with any autoencoder, such as a stacked autoencoder or a convolutional autoencoder. The encoder / decoder of the present disclosure may employ a model such as a Residual Network (ResNet), a DenseNet, or a RefineNet.

[0160] In the present disclosure, the terms bit, bit string, bit sequence, sequence, value, information, value obtained from a bit, information obtained from a bit, etc. may be read interchangeably.

[0161] In the present disclosure, a layer (for an encoder) may be interchangeably read as a layer (such as an input layer or an intermediate layer) used in an AI model. The layer in the present disclosure may correspond to at least one of an input layer, an intermediate layer, an output layer, a batch normalization layer, a convolutional layer, an activation layer, a dense layer, a normalization layer, a pooling layer, an attention layer, a dropout layer, a fully connected layer, etc.

[0162] In the present disclosure, RSRP may be interchangeably read as any parameter related to received power / received quality, etc. (e.g., RSRQ, SINR, CSI), etc.

[0163] In the present disclosure, the RS may be, for example, a CSI-RS, an SS / PBCH block (SS block (SSB)), etc. Also, the RS index may be a CSI-RS Resource Indicator (CRI), an SS / PBCH Block Indicator (SSBRI), etc.

[0164] In the present disclosure, channel measurement / estimation may be performed using at least one of, for example, a Channel State Information Reference Signal (CSI-RS), a Synchronization Signal (SS), a Synchronization Signal / Physical Broadcast Channel (SS / PBCH) block, a Demodulation Reference Signal (DMRS), a Sounding Reference Signal (SRS), and the like.

[0165] In the present disclosure, the terms "receive beam assumption," "number of receive beams," "index of receive beam," "receive beam selection," "receive beam setting," and "receive beam instruction" may be interchangeable. In the present disclosure, the terms "receive beam," "transmit beam," "DL receive beam," "DL transmit beam," and "pair of transmit beam and receive beam" may be interchangeable. In the present disclosure, the terms "transmit / receive beam" may be interchangeable with the terms "transmit / receive beam for beam prediction" and "transmit / receive beam for CSI measurement / reporting for beam prediction."

[0166] In this disclosure, functionality may refer to the use of a model or the physical meaning of the model's input / output. Multiple models may have the same functionality. Monitoring (checking performance), activation, deactivation, switching, fallback, and updating may be instructed (controlled) based on the functionality (e.g., for each function).

[0167] A model ID may also refer to an identifier for a model (or a set of models). Multiple models may be assigned the same model ID in an actual deployment. In this case, these models may actually be different models (e.g., have different numbers of layers) but may be treated as the same model.

[0168] In the present disclosure, the model ID may be interchangeably referred to as a meta information (or a set of meta information) ID. The meta information (or meta information ID) may be associated with information about the applicability of the model / functionality, the environment, the UE / gNB settings, etc.

[0169] In the present disclosure, functionality may be simply read as "function."

[0170] In the present disclosure, functionality, function, functionality ID, model, and model ID may be read interchangeably.

[0171] In the present disclosure, applicable update, updating applicable models / functionality, updating applicability of models / functionality, and applicable update may be read interchangeably.

[0172] In the present disclosure, update, report, and send may be read interchangeably.

[0173] In the present disclosure, meta information, assistance information, sensing information, KPI, performance KPI, UE status, and status may be read interchangeably.

[0174] In the present disclosure, monitor and evaluate may be read interchangeably. Also, monitoring and evaluating validity / applicability may be read interchangeably.

[0175] In this disclosure, determination, judgment, application of a specific action, and decision-making may be read interchangeably.

[0176] In the present disclosure, the terms entity, specific entity, UE, NW, gNB, and LMF may be read interchangeably.

[0177] In the present disclosure, NW, LMF, gNB, and BS may be read interchangeably.

[0178] In the present disclosure, the terms performance index and monitoring index may be read interchangeably.

[0179] In the present disclosure, monitor results, monitored results, post-monitoring results, and monitoring results may be read interchangeably.

[0180] In the present disclosure, the monitoring results may include inference results, and information regarding at least one of a performance index, and the content of an event occurrence based on the performance index / whether or not an event has occurred.

[0181] In the present disclosure, for UE-side performance monitoring of models / functionality, the UE may report the following information as monitoring results: Performance indicators corresponding to the monitored models / functionality; Occurrence of an event in the calculation of the performance indicators corresponding to the monitored models / functionality (e.g., the value of a positive indicator is greater than / less than a threshold for a certain duration).

[0182] In the present disclosure, CPU / GPU may refer to a central processing unit / graphics processing unit. However, CPU may refer to a CSI processing unit, and CPU / GPU may be replaced with a CSI processing unit (CPU). The CSI reference resource may be CSI-RS / CSI-IM / SSB. CSI may be transmitted on a PUSCH or a PUCCH.

[0183] In the present disclosure, the terms drop, abort, cancel, puncture, rate match, postpone, do not transmit, etc. may be read interchangeably.

[0184] In the present disclosure, the terms table, association, and mapping may be read interchangeably.

[0185] In the present disclosure, the terms monitoring result report, CSI report, measurement result report, and predicted PMI report may be read interchangeably.

[0186] In this disclosure, input RS resources may refer to RS resources associated with measurements required to execute a model / functionality, and reference RS resources may refer to RS resources associated with additional measurements required to verify performance against the model / functionality.

[0187] In the present disclosure, each embodiment / option may be applied alone or in combination with other embodiments / options.

[0188] (Wireless Communication Method) The embodiments of the present disclosure can be broadly categorized as follows: First embodiment: Periodic / semi-persistent monitoring result reporting. Second embodiment: Aperiodic monitoring result reporting. Third embodiment: CSI calculation delay requirement. Fourth embodiment: Time gap from trigger to report in monitoring result reporting. Fifth embodiment: Dropping of CSI reporting / monitoring result reporting. Sixth embodiment: CSI reference resource for monitoring result reporting. Seventh embodiment: Time limit for CSI reporting / monitoring result reporting. Eighth embodiment: CPU occupancy number in monitoring result reporting.

[0189] Each embodiment will be described below based on these. Each embodiment / option may be applied alone or in combination with other embodiments / options.

[0190] First Embodiment The first embodiment relates to periodic / semi-persistent monitoring result reporting.

[0191] The UE may be configured to report the monitoring results.

[0192] The UE may be configured to report monitoring results specifically as shown in at least one of Alt0 to Alt3 below.

[0193] <Alt0> The UE may be configured with a different reporting configuration for monitoring result reporting than for CSI reporting.

[0194] Furthermore, the CSI report and the monitoring result report may be correlated with each other. In this case, at least one of the following settings Alt1 to Alt3 may be applied to the UE. Alt1 to Alt3 may be applied to, for example, the periodic / semi-persistent reporting case, but are not limited thereto, and may also be applied to other cases.

[0195] <Alt1> Multiple resource settings may be associated with the CSI reporting configuration.

[0196] For example, two or more resource settings for channel measurements may be associated with a CSI reporting setting.

[0197] In this case, one resource setting may correspond to either an RS resource for input (input RS resource) or an RS resource for reference (reference RS resource).

[0198] <Alt2> Multiple CSI-RS resource sets (selected from one resource setting) may be associated with a CSI reporting setting.

[0199] In this case, one CSI-RS resource set may correspond to either RS ​​resources for input (input RS resources) or RS resources for reference (reference RS resources).

[0200] <Alt3> Multiple CSI-RS resources (selected) from one CSI-RS resource set may be associated with a CSI reporting setting.

[0201] In this case, one CSI-RS resource set may include RS resources for input (input RS resources) and RS resources for reference (reference RS resources).

[0202] Also, in Alt3, the slot offset between the input RS resource and the reference RS resource may be set / indicated or may be determined based on UE capabilities / predefined rules.

[0203] According to the first embodiment described above, periodic / semi-persistent monitoring result reporting can be appropriately controlled.

[0204] Second Embodiment The second embodiment relates to aperiodic monitoring result reporting.

[0205] The UE may trigger a monitoring result report.

[0206] If the CSI report is associated with a monitoring result report, the UE may be configured with at least one of the following Alt1 to Alt4.

[0207] <Alt1> One CSI-RS resource set (selected) from one resource setting may be associated with each trigger state.

[0208] In this case, one CSI-RS resource set may include RS resources for input (input RS resources) and RS resources for reference (reference RS resources).

[0209] The input RS resource and the reference RS resource may be scheduled in different slots, so that the input RS resource and the reference RS resource can have different timing offsets (slot offsets).

[0210] In Alt1, at least one of the following options 1-2 may also be applied:

[0211] (Option 1) When one aperiodic RS resource set has multiple RS resources, the RS triggering offset may be configured for each RS resource or for each RS resource set (e.g., including multiple RS resources).

[0212] (Option 2) The slot offset between the input RS resource and the reference RS resource may be configured / indicated or may be determined based on UE capability / predefined rules.

[0213] <Alt2> Multiple CSI-RS resource sets (selected from one resource setting) may be associated with each trigger state.

[0214] In this case, one CSI-RS resource set may correspond to either the input RS resource or the reference RS resource, so that the input RS resource and the reference RS resource can have different timing offsets (slot offsets).

[0215] <Alt3> One or more CSI-RS resource sets (selected from multiple resource settings) may be associated with each trigger state.

[0216] In this case, one resource setting may correspond to either the input RS resource or the reference RS resource, so that the input RS resource and the reference RS resource can have different timing offsets (slot offsets).

[0217] <Alt4> Different trigger conditions may be set to trigger RS ​​resources for aperiodic model input (model input RS resources) and reference RS resources.

[0218] In this case, the trigger for the monitoring result report can be associated with any trigger condition.

[0219] According to the second embodiment described above, it is possible to appropriately control non-periodic monitoring result reports.

[0220] <Variations of the First / Second Embodiments> In the first / second embodiments, the UE may expect at least one of the following restrictions for input RS resources / reference RS resources associated with one CSI reporting setting / one trigger state:

[0221] - Same time domain behavior (e.g. periodic / semi-persistent / aperiodic). - Same frequency (e.g. PRB / band / frequency domain resource allocation). - Same periodicity (periodic / semi-persistent). - The RS occasion time gap between the input RS resource and the reference RS resource is the same as the predicted time offset of the associated model / functionality. - The "time gap between the input RS resource and the reference RS resource" - "the predicted time offset of the associated model / functionality" is smaller than a certain threshold, which may be determined based on UE capabilities / predefined rules. - The same number of CSI-RS resources are included for each resource set. The resource set may be prepared for the input RS resource / reference RS resource. - Same frequency density.

[0222] If the UE is configured to report the monitoring result, a specific parameter may be set to associate the monitoring result report with the CSI reporting setting, for example, the specific parameter may be information about the reporting quantity.

[0223] The set (configurable) value may be a model ID / functionality ID or a value specific to the content of the monitoring result, such as a value related to an event occurrence / performance index or a value according to a calculated performance index.

[0224] Third Embodiment The third embodiment relates to a CSI computation delay requirement.

[0225] The CSI request field of the DCI may trigger a CSI report on the PUSCH. For example, when the CSI request field of the DCI triggers a CSI report for a monitoring result on the PUSCH, the UE may determine one of the following values ​​from Options 1 to 5 as the time gap (Z, Z') until the transmission of the CSI report. That is, the UE may control the timing of the CSI report (monitoring result report) based on the following options. Note that this time gap may also be referred to as a CSI calculation delay requirement.

[0226] <Option 1> Values ​​from an existing CSI calculation delay requirement table (e.g., table 5.4.-1 in 3GPP Rel. 17 38.214).

[0227] <Option 2> A value obtained by adding an additional value to an existing value in an existing CSI calculation delay requirement table. In this case, the UE may request additional calculation time (additional value) for a monitoring report (monitoring result report) in addition to the existing CSI calculation time (existing value). The existing value and the existing CSI calculation time may be interchangeable. The additional value and the additional calculation time may be interchangeable.

[0228] The additional value of option 2 may be at least one of the following: A unique value per model / functionality or the same value across multiple models / functionalities, A value dependent on the content of the reported monitoring result (e.g. a value related to an event occurrence / performance index or a value according to a calculated performance index).

[0229] These additional values ​​may be determined based on UE capabilities / predefined rules, or as a variation, it may be assumed that if the corresponding UE capabilities are not reported, a default additional value specified in the specification will be applied, i.e. the UE may assume the default additional value specified in the specification if it does not report the UE capabilities.

[0230] The additional value may be determined based on at least one of the following: - configured / indicated parameters; - CSI-RS resource of the associated channel / interference measurement, time difference between RS occasions (e.g. offset between slots); - time domain behavior of the CSI-RS resource of the associated channel measurement (e.g. periodic / semi-persistent / aperiodic); - predicted time offset of the associated model / functionality; - number of time instances associated with the value (result) to be reported (e.g. number of slots associated with the predicted value to be reported).

[0231] <Option 3> A value obtained by adding an additional value to the value in the CSI calculation delay requirement table for the model inference report of the monitored model / functionality. In this case, the UE may request additional calculation time (additional value) for the monitoring report (monitoring result report) in addition to the CSI calculation time for the model inference report. Note that the additional value may be determined in the same way as in Option 2 above.

[0232] <Option 4> The same value as the value in the CSI calculation delay requirement table for model inference reporting of the monitored model / functionality (same CSI calculation delay requirement), or the same value as the additional calculation time (additional value) for monitoring reporting (monitoring result reporting).

[0233] <Option 5> New value for CSI calculation delay requirement for monitoring result reporting.

[0234] The new value in option 5 may be at least one of the following: A unique value per model / functionality or the same value across multiple models / functionalities, A value dependent on the content of the reported monitoring result (e.g. a value related to an event occurrence / performance index or a value according to a calculated performance index).

[0235] The new value may be determined based on at least one of the following: - configured / indicated parameters; - CSI-RS resource of the associated channel / interference measurement, time difference between RS occasions (e.g. offset between slots); - time domain behavior of the CSI-RS resource of the associated channel measurement (e.g. periodic / semi-persistent / aperiodic); - predicted time offset of the associated model / functionality; - number of time instances associated with the value (result) to be reported (e.g. number of slots associated with the predicted value to be reported).

[0236] These new values ​​may be determined based on UE capabilities / predefined rules, or as a variation, it may be assumed that if no corresponding UE capabilities are reported, a default additional value specified in the specification applies, i.e. the UE may assume the default additional value specified in the specification if it does not report that UE capability.

[0237] According to the third embodiment described above, the UE can appropriately determine / judge the CSI calculation delay requirement (time gap) for CSI reporting / monitoring result reporting.

[0238] <Fourth Embodiment> The fourth embodiment relates to the time gap between the trigger and the report in the monitoring result report.

[0239] For monitoring result reports, if the first UL symbol for transmitting the nth CSI report including the effect of timing advance starts earlier than at least one of options 1 to 3 below, the UE may ignore the scheduling CSI or may not be required to update the CSI for the triggered CSI report.

[0240] <Option 1> Among the latest symbols of the aperiodic CSI resource for model input, a symbol of a certain period after the last symbol in time. <Option 2> Among the latest symbols of the aperiodic CSI resource for performance monitoring reference, a symbol of a certain period after the last symbol in time.

[0241] <Option 3> Symbols in a certain period from (after) the last symbol in time of the latest symbol among the CSI resources for model input / performance monitoring reference. That is, symbols calculated from the latest symbol among Option 1 and Option 2.

[0242] The certain duration may vary for each option and may be derived from the CSI calculation delay requirement in the third embodiment.

[0243] According to the fourth embodiment described above, it is possible to appropriately control the time gap between the trigger and the report in the monitoring result report.

[0244] Fifth Embodiment The fifth embodiment relates to dropping of CSI reports / monitoring result reports.

[0245] The fifth embodiment can be further classified into aspects 5-1 to 5-3 depending on the conditions for dropping CSI reports.

[0246] [Aspect 5-1] After configuring / reconfiguring CSI reporting, if at least one of the conditions of the following options 1 to 3 is met, the UE may drop the monitoring result report.

[0247] <Option 1> When there is no CSI-RS transmission opportunity for channel measurement or no CSI Interference Measurement (CSI-IM) opportunity for model input after the CSI reference resource.

[0248] <Option 2> When there is no CSI-RS transmission opportunity for channel measurement or no CSI-IM opportunity for performance monitoring reference after the CSI reference resource.

[0249] <Option 3> When the CSI-RS transmission opportunity for channel measurement or the CSI-IM opportunity for model input and performance monitoring reference does not exist after the CSI reference resource, that is, when the conditions of both Option 1 and Option 2 are satisfied.

[0250] <Variations> If the monitoring results are associated with the performance of a model / functionality that requests (requires) multiple CSI-RS transmission opportunities / CSI-IM opportunities to derive an output (e.g., temporal CSI prediction, temporal beam prediction), the UE may apply the above options 1 to 3 with the following modifications:

[0251] "There are no CSI-RS transmission opportunities for channel measurement" should be read as "There are not more than X CSI-RS transmission opportunities for channel measurement." "There are no CSI-IM opportunities" should be read as "There are not more than Y CSI-IM opportunities."

[0252] The above X and Y may be configured / instructed parameters, parameters reported in UE capabilities, predefined parameters, or parameters associated with a model / functionality. Furthermore, X and Y may be common parameters or different parameters. Defining X and Y is effective when multiple opportunities for time prediction are assumed.

[0253] [Aspect 5-2] After configuring / reconfiguring CSI reporting, if the UE requests (requires) multiple CSI-RS transmission opportunities / CSI-IM opportunities for deriving an output (e.g., temporal CSI prediction, temporal beam prediction), the UE may drop the report of the results calculated by the model / functionality.

[0254] Furthermore, the following conditions may be applied (additionally): If there are X or more CSI-RS transmission opportunities for channel measurements after the CSI reference resource, If there are Y or more CSI-IM opportunities for model inference measurements after the CSI reference resource.

[0255] The above-mentioned X and Y may be determined in the same manner as in aspect 5-1.

[0256] [Aspect 5-3] After configuring / reconfiguring CSI reporting, if multiple CSI-RS / CSI-IM opportunities are required for calculating (deriving) a precoding matrix indicator (PMI), the UE may drop the report of the predicted PMI.

[0257] The predicted PMI may be, for example, an extended type 2 predicted PMI or a predicted PMI for extended type 2 port selection.

[0258] Furthermore, the following conditions may be applied (additionally): If there are X or more CSI-RS transmission opportunities for channel measurements after the CSI reference resource, If there are Y or more CSI-IM opportunities for model inference measurements after the CSI reference resource.

[0259] The above X and Y may be determined in the same manner as in aspects 5-1 and 5-2.

[0260] [Variation] For example, when discontinuous reception (DRX) is configured, the conditions of the above-described aspects 5-1 to 5-3 need to be satisfied within the active time of DRX. That is, when DRX is configured and the conditions of aspects 5-1 to 5-3 are satisfied within the active time of DRX, the UE may drop the corresponding CSI report / monitoring result report.

[0261] Furthermore, if the drx-onDurationTimer is not started and the UE is configured not to transmit CSI reports (for example, if the upper layer parameters ps-TransmitOtherPeriodicCSI and TransmitPeriodicL1-RSRP are set), if there is a CSI report when the drx-onDurationTimer is started, it may be assumed that the UE satisfies at least one of the conditions of aspects 5-1 to 5-3 described above, even if the drx-onDurationTimer is not started.

[0262] Furthermore, if the UE is not configured not to transmit CSI reports (for example, if the upper layer parameters ps-TransmitOtherPeriodicCSI and TransmitPeriodicL1-RSRP are not configured), at least one of the conditions of the above-mentioned aspects 5-1 to 5-3 must be met when the drx-onDurationTimer is started.

[0263] According to the fifth embodiment described above, dropping of CSI reports / monitoring result reports can be appropriately controlled.

[0264] Sixth Embodiment The sixth embodiment relates to a CSI reference resource for reporting monitoring results.

[0265] The UE may determine the time domain of the CSI reference resource for reporting the monitoring result using at least one of the following options 1 to 3. Note that in the current specification, a valid DL slot consists of at least one DL or flexible symbol configured by a higher layer and is not within the measurement gap configured for the UE.

[0266] For example, the UE may determine the time domain of the CSI reference resource based on at least one of related information of the AI / ML model / functionality, parameters of the UE capabilities (terminal capabilities), parameters set / indicated by physical layer signaling / higher layer signaling, and calculated indicators (performance indicators) associated with the monitoring result report.

[0267] [Option 1] As in Rel. 17 above, the time domain of the CSI reference resource is n-n ＣＳＩ_ｒｅｆ It may be a single DL slot in

[0268] <<Options 1-1 and 1-2>> ＣＳＩ_ｒｅｆ may be the smallest value greater than X that corresponds to a valid DL slot.

[0269] X is 4.2 μＤＬ or 5.2 μＤＬ or may be a different value. X may depend on the DL numerology (subcarrier spacing).

[0270] The value of X may be determined based on at least one of the following: - configured / indicated parameters; - CSI-RS resource of the associated channel / interference measurement, time difference between RS occasions (e.g. offset between slots); - time domain behavior of the CSI-RS resource of the associated channel measurement (e.g. periodic / semi-persistent / aperiodic); - predicted time offset of the associated model / functionality; - number of time instances associated with the value (result) to be reported (e.g. number of slots associated with the predicted value to be reported).

[0271] <<Option 1-1>> X may be determined based on at least one of the following: relevant information of the AI / ML model / functionality (such as the function / FLOP / total parameters of the applied AI / ML model), parameters of the UE capabilities, parameters set / instructed by physical layer signaling / higher layer signaling, and calculated indicators (performance indicators) associated with the monitoring result report.

[0272] <<Option 1-2>> X may be specified in the specification independently of the AI / ML model / functionality and the calculated indicators (performance indicators) associated with the monitor result reports.

[0273] Options 1-1 and 1-2 may be applied to periodic / semi-persistent CSI reporting derived from the model / functionality.

[0274] Options 1-3 and 1-4 ＣＳＩ_ｒｅｆ corresponds to a valid DL slot, [Z'+Y / N ｓｙｍｂ ｓｌｏｔ ] may be a minimum value greater than

[0275] <<Options 1-3>> The above Y may be determined based on at least one of the following: relevant information of the AI / ML model / functionality (such as functions / FLOPs / total parameters of the applied AI / ML model), parameters of the UE capabilities, parameters set / instructed by physical layer signaling / higher layer signaling, and calculated indicators (performance indicators) associated with the monitoring result report.

[0276] The value of Y may be determined based on at least one of the following: - configured / indicated parameters; - CSI-RS resource of the associated channel / interference measurement, time difference between RS occasions (e.g. offset between slots); - time domain behavior of the CSI-RS resource of the associated channel measurement (e.g. periodic / semi-persistent / aperiodic); - predicted time offset of the associated model / functionality; - number of time instances associated with the value (result) to be reported (e.g. number of slots associated with the predicted value to be reported).

[0277] <<Options 1-4>> Y may be specified in the specification independently of the AI / ML model / functionality and the calculated indicators (performance indicators) associated with the monitor result reports.

[0278] Z' may be determined in the same manner as in the third embodiment. Options 1-3 and 1-4 may be applied to aperiodic CSI reporting derived from the model / functionality.

[0279] [Option 2] In the time domain of the CSI reference resource, n ＣＳＩ_ｒｅｆ / nCSI_ref_AI may be the same as the reported result derived from the model / functionality associated with the monitor result report. ＣＳＩ_ｒｅｆ may be determined similarly.

[0280] [Option 3] The time domain of the CSI reference resource is n-n ＣＳＩ_ｒｅｆ - nCSI_ref_AI - may be a single DL slot in nCSI_ref_monitoring. nCSI_ref_monitoring is n in Option 1 ＣＳＩ_ｒｅｆ may be determined similarly.

[0281] The processing time of the monitoring result is larger than the processing time of the inference result, so by considering an additional offset from the CSI reference resource for the inference result, the timing of the CSI report can be controlled more appropriately.

[0282] According to the sixth embodiment described above, it is possible to appropriately control the time domain of the CSI reference resource for reporting the monitoring result.

[0283] Seventh Embodiment The seventh embodiment relates to a time limit for reporting CSI / monitoring results based on multiple occasions.

[0284] When the UE derives CSI based on multiple CSI-RS occasions, it is assumed that the latest CSI alone may not be enough to obtain adequate CSI.

[0285] Therefore, in this embodiment, a time limit for CSI reporting based on multiple occasions will be described.

[0286] The seventh embodiment can be further classified into aspects 7-1 to 7-3 depending on specific conditions.

[0287] [Aspect 7-1] When certain higher layer parameters are configured, the UE must derive channel measurements for calculating a monitored result value to be reported in the n-th UL slot.

[0288] In this case, the UE may derive the channel measurement based on (only) the most recent X occasions that are not later than (not later than) the CSI reference resource for the SS / PBCH or NZP CSI-RS associated with the CSI resource setting.

[0289] The above X may be a configured / indicated parameter, a parameter reported in the UE capabilities, a predefined parameter, or a parameter associated with a model / functionality.

[0290] Furthermore, the above-mentioned specific upper layer parameter may be a parameter relating to a time restriction for channel measurements (eg, timeRestrictionForChannelMeasurements).

[0291] [Aspect 7-2] When certain higher layer parameters are configured, the UE must derive channel measurements to calculate a result value to be reported in the nth UL slot. The result value may be an output derived from a model / functionality that requires multiple RS occasions (e.g., temporal CSI prediction, temporal beam prediction).

[0292] In this case, the UE may derive the channel measurement based on (only) the most recent X occasions that are not later than (not later than) the CSI reference resource for the SS / PBCH or NZP CSI-RS associated with the CSI resource setting.

[0293] The above X may be a configured / indicated parameter, a parameter reported in the UE capabilities, a predefined parameter, or a parameter associated with a model / functionality.

[0294] Furthermore, the above-mentioned specific upper layer parameter may be a parameter relating to a time restriction for channel measurements (eg, timeRestrictionForChannelMeasurements).

[0295] [Aspect 7-3] When certain higher layer parameters are configured, the UE must derive channel measurements to calculate a predicted PMI to be reported in the nth UL slot. The predicted PMI may be, for example, a predicted PMI for Extended Type 2 or a predicted PMI for Extended Type 2 port selection.

[0296] In this case, the UE may derive the channel measurement based on (only) the most recent X occasions that are not later than (not later than) the CSI reference resource for the SS / PBCH or NZP CSI-RS associated with the CSI resource setting.

[0297] The above X may be a configured / indicated parameter, a parameter reported in the UE capability, or a predefined parameter (e.g., N ４ where N ４ may represent the length of the basis vectors (DFT basis vectors) in the Doppler domain (DD) / time domain (TD) (number of DD / TD bases). ４ may be set by higher layer signaling.

[0298] Furthermore, the above-mentioned specific upper layer parameter may be a parameter relating to a time restriction for channel measurements (eg, timeRestrictionForChannelMeasurements).

[0299] [Variations] The UE may not expect certain higher layer parameters (eg, timeRestrictionForChannelMeasurements) mentioned above to be set for reporting predicted PMI.

[0300] According to the seventh embodiment described above, it is possible to appropriately control channel measurement based on multiple CSI-RS occasions.

[0301] Eighth Embodiment The eighth embodiment relates to the CPU occupation number in the monitoring result report.

[0302] As mentioned above, CPU occupancy for reporting monitor results is also being considered. In this case, a dedicated definition is considered necessary. For example, the calculation of monitor results requires the following calculations: Calculation of inference results Calculation of performance metrics If the monitor results are related to the occurrence of an event, confirmation of whether the event has occurred based on the performance metrics.

[0303] The definition of the CPU occupation number taking these monitoring results into consideration will be explained below.

[0304] The CPU occupancy number for the monitor result report may be defined based on any of Alt1 to Alt3 below.

[0305] <Alt1> A new value / expression may be defined as the CPU occupancy for monitor results reporting.

[0306] <Alt2> Sum of CPU occupancy and additional values ​​for reporting information derived from the model / functionality.

[0307] <Alt3> Same value as CPU occupancy for reporting information derived from model / functionality.

[0308] The new value / formula in Alt1 and the additional value in Alt2 may be determined based on at least one of the following: - A unique value per model / functionality or the same value across multiple models / functionalities - A value dependent on the content of the reported monitoring result (e.g. a value related to an event occurrence / performance index or a value according to a calculated performance index).

[0309] These values ​​(new values / formulas or additional values) may be determined based on UE capabilities / predefined rules, or as a variation, it may be assumed that if the corresponding UE capability is not reported, a default value specified in the specification will be applied, i.e. the UE may assume the default value specified in the specification if it does not report the UE capability.

[0310] According to the eighth embodiment described above, the number of CPUs occupied can be clarified in the monitoring result report.

[0311] <Supplementary Information> [AI Model Information] In the present disclosure, AI model information may refer to information including at least one of the following: - Information on the input / output of the AI ​​model; - Pre-processing / post-processing information for the input / output of the AI ​​model; - Information on parameters of the AI ​​model; - Training information for the AI ​​model; - Inference information for the AI ​​model; - Performance information regarding the AI ​​model.

[0312] Here, the input / output information of the AI ​​model may include information on at least one of the following: - Contents of the input / output data (e.g., RSRP, SINR, amplitude / phase information in the channel matrix (or precoding matrix), information on the angle of arrival (Angle of Arrival (AoA)), information on the angle of departure (Angle of Departure (AoD)), location information); - Auxiliary information of the data (which may be called meta-information); - Type of the input / output data (e.g., immutable value, floating-point number); - Bit width of the input / output data (e.g., 64 bits for each input value); - Quantization interval (quantization step size) of the input / output data (e.g., 1 dBm for L1-RSRP); - Range that the input / output data can take (e.g., [0, 1]).

[0313] In the present disclosure, the information on AoA may include information on at least one of an azimuth angle of arrival and a zenith angle of arrival (ZoA). The information on AoD may include information on at least one of an azimuth angle of departure and a zenith angle of departure (ZoD).

[0314] In the present disclosure, location information may be location information related to a UE / NW. The location information may include at least one of information (e.g., latitude, longitude, altitude) obtained using a positioning system (e.g., a satellite positioning system (Global Navigation Satellite System (GNSS), Global Positioning System (GPS), etc.)), information about a BS neighboring (or serving) the UE (e.g., a BS / cell identifier (ID), a BS-UE distance, a direction / angle of the BS (UE) as seen from the UE (BS), coordinates of the BS (UE) as seen from the UE (BS) (e.g., X / Y / Z axis coordinates), etc.), a specific address of the UE (e.g., an Internet Protocol (IP) address), etc. The location information of the UE is not limited to information based on the position of the BS, and may be information based on a specific point.

[0315] The location information may include information about its implementation (e.g., location / position / orientation of antennas, location / orientation of antenna panels, number of antennas, number of antenna panels, etc.).

[0316] The location information may include mobility information, which may include information indicating at least one of information indicating a mobility type, a moving speed of the UE, an acceleration of the UE, and a moving direction of the UE.

[0317] Here, the mobility type may correspond to at least one of a fixed location UE, a movable / moving UE, a no mobility UE, a low mobility UE, a middle mobility UE, a high mobility UE, a cell-edge UE, a not-cell-edge UE, etc.

[0318] In the present disclosure, environmental information (for data) may be information about the environment in which the data is acquired / used, and may correspond to, for example, frequency information (such as a band ID), environmental type information (information indicating at least one of indoor, outdoor, Urban Macro (UMa), Urban Micro (Umi), etc.), information indicating Line Of Site (LOS) / Non-Line Of Site (NLOS), etc.

[0319] Here, LOS may mean that the UE and the BS are in an environment where they can see each other (or there is no obstruction), and NLOS may mean that the UE and the BS are not in an environment where they can see each other (or there is an obstruction). The information indicating LOS / NLOS may indicate a soft value (e.g., the probability of LOS / NLOS) or a hard value (e.g., either LOS or NLOS).

[0320] In the present disclosure, meta-information may mean, for example, information regarding input / output information suitable for an AI model, information regarding acquired / acquirable data, etc. Specifically, meta-information may include information regarding beams of RS (e.g., CSI-RS / SRS / SSB, etc.) (e.g., the pointing angle of each beam, the 3 dB beam width, the shape of the pointed beam, the number of beams), layout information of the gNB / UE antenna, frequency information, environmental information, meta-information ID, etc. Note that meta-information may be used as input / output of the AI ​​model.

[0321] The pre-processing / post-processing information for the input / output of the AI ​​model may include information on at least one of the following: - Whether to apply normalization (e.g., Z-score normalization (standardization), min-max normalization); - Parameters for normalization (e.g., mean / variance for Z-score normalization, min / max for min-max normalization); - Whether to apply a specific numerical conversion method (e.g., one hot encoding, label encoding, etc.); - Selection rules for whether to use as training data.

[0322] For example, Z-score normalization (x) is performed as a preprocessing step for input information x. ｎｅｗ = (x - μ) / σ, where μ is the mean of x and σ is the standard deviation) ｎｅｗ may be input to the AI ​​model, and the output y ｏｕｔ may be subjected to post-processing to obtain the final output y.

[0323] The information on the parameters of the AI ​​model may include information on at least one of the following: - Information on weights in the AI ​​model (e.g., neuron coefficients (connection coefficients)); - Structure of the AI ​​model; - Type of the AI ​​model as a model component (e.g., Residual Network (ResNet), DenseNet, RefineNet, Transformer model, CRBlock, Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU)); - Function of the AI ​​model as a model component (e.g., decoder, encoder).

[0324] In addition, the weight information in the above AI model may include information on at least one of the following: - Bit width (size) of the weight information; - Quantization interval of the weight information; - Granularity of the weight information; - Range that the weight information can take; - Weight parameters in the AI ​​model; - Information on the difference from the AI ​​model before update (if updating); - Weight initialization method (e.g., zero initialization, random initialization (based on normal distribution / uniform distribution / truncated normal distribution), Xavier initialization (for sigmoid function), He initialization (for rectified linear units (ReLU))).

[0325] The structure of the AI ​​model may also include information about at least one of the following: number of layers, type of layer (e.g., convolutional layer, activation layer, dense layer, normalization layer, pooling layer, attention layer), layer information, time series specific parameters (e.g., bidirectionality, time step), parameters for training (e.g., type of function (L2 regularization, dropout function, etc.), where (e.g., after which layer) to place this function).

[0326] The layer information may include information about at least one of the following: the number of neurons in each layer, the kernel size, the stride for pooling / convolutional layers, the pooling method (MaxPooling, AveragePooling, etc.), the residual block information, the number of heads, the normalization method (Batch normalization, instance normalization, layer normalization, etc.), the activation function (Sigmoid, tanh function, ReLU, leaky ReLU information, Maxout, Softmax).

[0327] An AI model may be included as a component of another AI model, for example, an AI model that includes model component #1, ResNet, model component #2, a Transformer model, a dense layer, and a normalization layer in that order.

[0328] The training information for the AI ​​model may include information about at least one of the following: - Information for the optimization algorithm (e.g., type of optimization (Stochastic Gradient Descent (SGD)), AdaGrad, Adam, etc.), parameters of the optimization (learning rate, momentum information, etc.); - Information on the loss function (e.g., information on metrics of the loss function (Mean Absolute Error (MAE)), Mean Square Error (MSE), Cross Entropy Loss, NLL Loss, Kullback-Leibler (KL) Divergence, etc.)); - Parameters to be frozen for training (e.g., layers, weights); - Parameters to be updated (e.g., layers, weights); - Parameters to be (used as) initial parameters for training (e.g., layers, weights); - Method of training / updating the AI ​​model (e.g., (recommended) number of epochs, batch size, number of data to use for training).

[0329] The inference information for the AI ​​model may include information regarding decision tree branch pruning, parameter quantization, and functions of the AI ​​model, etc. Here, the functions of the AI ​​model may correspond to at least one of, for example, time domain beam prediction, spatial domain beam prediction, an autoencoder for CSI feedback, and an autoencoder for beam management.

[0330] An autoencoder for CSI feedback may be used as follows: - The UE inputs the CSI / channel matrix / precoding matrix into the AI ​​model of the encoder and transmits the encoded bits output as CSI feedback (CSI report); - The BS inputs the received encoded bits into the AI ​​model of the decoder to reconstruct the CSI / channel matrix / precoding matrix output.

[0331] In spatial domain beam prediction, the UE / BS may input measurement results (beam quality, e.g., RSRP) based on sparse (or thick) beams into an AI model and output dense (or thin) beam quality.

[0332] In time domain beam prediction, the UE / BS may input time series (past, present, etc.) measurement results (beam quality, e.g., RSRP) into an AI model and output future beam quality.

[0333] The performance information regarding the AI ​​model may include information regarding the expected value of a loss function defined for the AI ​​model.

[0334] The AI ​​model information in the present disclosure may include information regarding the application range (applicable range) of the AI ​​model. The application range may be indicated by a physical cell ID, a serving cell index, etc. The information regarding the application range may be included in the above-mentioned environment information.

[0335] AI model information regarding a specific AI model may be predetermined in a standard or may be notified to a UE from a network (NW). An AI model defined in a standard may be referred to as a reference AI model. AI model information regarding a reference AI model may be referred to as reference AI model information.

[0336] Note that the AI ​​model information in the present disclosure may include an index for identifying the AI ​​model (which may be referred to as, for example, an AI model index, an AI model ID, a model ID, etc.). The AI ​​model information in the present disclosure may include an AI model index in addition to / instead of the input / output information of the AI ​​model described above. The association between the AI ​​model index and the AI ​​model information (for example, input / output information of the AI ​​model) may be predetermined in a standard, or may be notified to the UE from the NW.

[0337] The AI ​​model information in the present disclosure may be associated with an AI model and may be referred to as AI model relevant information, simply relevant information, etc. The AI ​​model relevant information does not need to explicitly include information for identifying the AI ​​model. The AI ​​model relevant information may be information that includes only meta information, for example.

[0338] In the present disclosure, the model ID may be interchangeably read as an ID (model set ID) corresponding to a set of AI models. Furthermore, in the present disclosure, the model ID may be interchangeably read as a meta information ID. The meta information (or the meta information ID) may be associated with information about a beam (beam setting) as described above. For example, the meta information (or the meta information ID) may be used by the UE to select an AI model taking into account which beam the BS is using, or may be used to notify the BS of which beam to use to apply the AI ​​model deployed by the UE. Furthermore, in the present disclosure, the meta information ID may be interchangeably read as an ID (meta information set ID) corresponding to a set of meta information.

[0339] [Notification of Information to UE] In the above-described embodiment, notification of any information to the UE (from the NW) (in other words, reception of any information from the BS at the UE) may be performed using physical layer signaling (e.g., DCI), higher layer signaling (e.g., RRC signaling, MAC CE), a specific signal / channel (e.g., PDCCH, PDSCH, reference signal), or a combination thereof.

[0340] When the notification is performed by a MAC CE, the MAC CE may be identified by including a new Logical Channel ID (LCID) in the MAC subheader, which is not defined in existing standards.

[0341] When the notification is made by DCI, the notification may be made by a specific field of the DCI, a Radio Network Temporary Identifier (RNTI) used to scramble Cyclic Redundancy Check (CRC) bits assigned to the DCI, the format of the DCI, etc.

[0342] Furthermore, notification of any information to the UE in the above embodiments may be performed periodically, semi-persistently, or aperiodically.

[0343] [Notification of Information from UE] In the above-described embodiments, notification of any information from the UE (to the NW) (in other words, transmission of any information from the UE to the BS) may be performed using physical layer signaling (e.g., UCI), higher layer signaling (e.g., RRC signaling, MAC CE), a specific signal / channel (e.g., PUCCH, PUSCH, reference signal), or a combination thereof.

[0344] When the notification is performed by a MAC CE, the MAC CE may be identified by including a new LCID, which is not defined in existing standards, in the MAC subheader.

[0345] If the notification is made by UCI, the notification may be transmitted using PUCCH or PUSCH.

[0346] Furthermore, any information in the above-described embodiments may be notified from the UE periodically, semi-persistently, or aperiodically.

[0347] [Application of Each Embodiment] At least one of the above-described embodiments may be applied when a specific condition is met. The specific condition may be defined in a standard or may be notified to a UE / BS using higher layer signaling / physical layer signaling.

[0348] At least one of the above-described embodiments may be applied only to UEs that have reported or support a particular UE capability.

[0349] The specific UE capability may indicate at least one of the following: Supporting specific processing / operation / control / information for at least one of the above embodiments; Maximum slot offset between input RS resource and reference RS resource; Value for CSI calculation delay for monitoring result report (CSI calculation delay requirement); Value of X / Y indicating the number of occasions.

[0350] Furthermore, the above-mentioned specific UE capability may be a capability that is applied across all frequencies (commonly regardless of frequency), or may be a capability for each frequency (e.g., one or a combination of a cell, a band, a band combination, a BWP, a component carrier, etc.), or may be a capability for each frequency range (e.g., Frequency Range 1 (FR1), FR2, FR3, FR4, FR5, FR2-1, FR2-2), or may be a capability for each subcarrier spacing (SubCarrier Spacing (SCS)), or may be a capability for each Feature Set (FS) or Feature Set Per Component-carrier (FSPC).

[0351] Furthermore, the specific UE capability may be a capability that is applied to all duplexing methods (commonly regardless of the duplexing method), or may be a capability for each duplexing method (e.g., Time Division Duplex (TDD) or Frequency Division Duplex (FDD)).

[0352] Furthermore, at least one of the above-described embodiments may be applied when the UE configures / activates / triggers specific information related to the above-described embodiments (or performs the operations of the above-described embodiments) through higher layer signaling / physical layer signaling. For example, the specific information may be information indicating that CSI reporting / monitoring result reporting is enabled, any RRC parameter for a specific release (e.g., Rel. 18 / 19), etc.

[0353] If the UE does not support at least one of the specific UE capabilities or is not configured with the specific information, the UE may apply, for example, the behavior of Rel. 15 / 16 / 17.

[0354] (Supplementary Notes) The following inventions are supplementary notes regarding an embodiment (first / second embodiment) of the present disclosure. [Supplementary Note 1] A terminal comprising: a receiving unit that receives a configuration related to a monitoring result report of a model; and a control unit that controls the monitoring result report, wherein the monitoring result report is associated with a Channel State Information (CSI) report. [Supplementary Note 2] The terminal according to Supplementary Note 1, wherein one or more resource settings are associated with the CSI report configuration. [Supplementary Note 3] The terminal according to Supplementary Note 1 or Supplementary Note 2, wherein one resource setting corresponds to a reference signal (RS) resource for input or an RS resource for reference. [Supplementary Note 4] The terminal according to any of Supplements 1 to 3, wherein the control unit controls triggering of the monitoring result report based on the configuration, and wherein a reference signal (RS) resource selected from resource settings in the configuration is associated with each trigger state.

[0355] (Supplementary Notes) The following inventions are supplementary notes regarding an embodiment (third, fourth, sixth, and eighth embodiments) of the present disclosure. [Supplementary Note 1] A terminal comprising: a receiving unit that receives configuration related to a monitoring result report of a model; and a control unit that controls the monitoring result report, wherein the control unit controls timing of the monitoring result report or the Channel State Information (CSI) report based on information associated with the monitoring result report and a CSI report. [Supplementary Note 2] The terminal according to Supplementary Note 1, wherein the control unit determines a CSI calculation time based on an association related to a CSI calculation delay requirement. [Supplementary Note 3] The terminal according to Supplementary Note 1 or Supplementary Note 2, wherein the control unit determines a trigger for the monitoring result report or the CSI report based on a CSI resource for model input or a CSI resource for performance monitoring reference. [Supplementary Note 4] The terminal according to any of Supplements 1 to 3, wherein the control unit controls the monitoring result report or the CSI report based on a CSI reference resource, and determines a time domain of the CSI reference resource based on a specific rule.

[0356] (Supplementary Notes) The following inventions are supplementary notes regarding an embodiment (fifth / seventh embodiments) of the present disclosure. [Supplementary Note 1] A terminal having: a receiving unit that receives a configuration related to Channel State Information (CSI) reporting based on multiple occasions; and a control unit that controls dropping of the CSI report or channel measurement based on the configuration. [Supplementary Note 2] The terminal according to Supplementary Note 1, wherein the control unit drops the CSI report if a CSI-RS transmission opportunity for channel measurement does not exist after a CSI reference resource. [Supplementary Note 3] The terminal according to Supplementary Note 1 or Supplementary Note 2, wherein the control unit drops a report of a predicted Precoding Matrix Indicator (PMI) if multiple transmission opportunities are required for PMI calculation. [Supplementary Note 4] The terminal according to any of Supplementary Notes 1 to 3, wherein the control unit controls dropping of the CSI report or channel measurement based on the number of occasions.

[0357] (Wireless Communication System) The configuration of a wireless communication system according to an embodiment of the present disclosure will be described below. In this wireless communication system, communication is performed using any one of the wireless communication methods according to the above embodiments of the present disclosure or a combination thereof.

[0358] 11 is a diagram illustrating an example of a schematic configuration of a wireless communication system according to an embodiment. The wireless communication system 1 (which may be simply referred to as system 1) may be a system that realizes communication using Long Term Evolution (LTE) or 5th generation mobile communication system New Radio (5G NR) specified by the Third Generation Partnership Project (3GPP).

[0359] The wireless communication system 1 may also support dual connectivity between multiple Radio Access Technologies (RATs) (Multi-RAT Dual Connectivity (MR-DC)). MR-DC may include dual connectivity between LTE (Evolved Universal Terrestrial Radio Access (E-UTRA)) and NR (E-UTRA-NR Dual Connectivity (EN-DC)), dual connectivity between NR and LTE (NR-E-UTRA Dual Connectivity (NE-DC)), etc.

[0360] In EN-DC, the LTE (E-UTRA) base station (eNB) is the master node (Master Node (MN)), and the NR base station (gNB) is the secondary node (Secondary Node (SN)). In NE-DC, the NR base station (gNB) is the MN, and the LTE (E-UTRA) base station (eNB) is the SN.

[0361] The wireless communication system 1 may support dual connectivity between multiple base stations within the same RAT (for example, dual connectivity in which both the MN and SN are NR base stations (gNBs) (NR-NR Dual Connectivity (NN-DC))).

[0362] The wireless communication system 1 may include a base station 11 that forms a macrocell C1 with a relatively wide coverage, and base stations 12 (12a-12c) that are located within the macrocell C1 and form small cells C2 that are smaller than the macrocell C1. A user terminal 20 may be located within at least one of the cells. The locations and numbers of the cells and user terminals 20 are not limited to the embodiment shown in the figure. Hereinafter, when there is no need to distinguish between the base stations 11 and 12, they will be collectively referred to as base station 10.

[0363] The user terminal 20 may be connected to at least one of the multiple base stations 10. The user terminal 20 may utilize at least one of carrier aggregation (CA) using multiple component carriers (CCs) and dual connectivity (DC).

[0364] Each CC may be included in at least one of a first frequency band (Frequency Range 1 (FR1)) and a second frequency band (Frequency Range 2 (FR2)). The macro cell C1 may be included in FR1, and the small cell C2 may be included in FR2. For example, FR1 may be a frequency band of 6 GHz or less (sub-6 GHz), and FR2 may be a frequency band higher than 24 GHz (above-24 GHz). Note that the frequency bands and definitions of FR1 and FR2 are not limited to these, and for example, FR1 may correspond to a higher frequency band than FR2.

[0365] Furthermore, the user terminal 20 may perform communication using at least one of time division duplex (TDD) and frequency division duplex (FDD) in each CC.

[0366] The multiple base stations 10 may be connected by wire (e.g., optical fiber compliant with the Common Public Radio Interface (CPRI), an X2 interface, etc.) or wirelessly (e.g., NR communication). For example, when NR communication is used as a backhaul between the base stations 11 and 12, the base station 11 corresponding to the upper station may be called an Integrated Access Backhaul (IAB) donor, and the base station 12 corresponding to the relay station (relay) may be called an IAB node.

[0367] The base station 10 may be connected to the core network 30 directly or via another base station 10. The core network 30 may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), a Next Generation Core (NGC), and the like.

[0368] The core network 30 may include network functions (Network Functions (NF)) such as a User Plane Function (UPF), an Access and Mobility management Function (AMF), a Session Management Function (SMF), a Unified Data Management (UDM), an Application Function (AF), a Data Network (DN), a Location Management Function (LMF), and Operation, Administration and Maintenance (Management) (OAM). A single network node may provide multiple functions. Communication with an external network (e.g., the Internet) may also be performed via the DN.

[0369] The user terminal 20 may be a terminal that supports at least one of communication methods such as LTE, LTE-A, and 5G.

[0370] An Orthogonal Frequency Division Multiplexing (OFDM)-based radio access scheme may be used in the wireless communication system 1. For example, Cyclic Prefix OFDM (CP-OFDM), Discrete Fourier Transform Spread OFDM (DFT-s-OFDM), Orthogonal Frequency Division Multiple Access (OFDMA), Single Carrier Frequency Division Multiple Access (SC-FDMA), or the like may be used in at least one of the downlink (DL) and uplink (UL).

[0371] The radio access scheme may also be called a waveform. Note that in the wireless communication system 1, other radio access schemes (e.g., other single-carrier transmission schemes, other multi-carrier transmission schemes) may be used as the UL and DL radio access schemes.

[0372] In the wireless communication system 1, a downlink shared channel (Physical Downlink Shared Channel (PDSCH)) shared by each user terminal 20, a broadcast channel (Physical Broadcast Channel (PBCH)), a downlink control channel (Physical Downlink Control Channel (PDCCH)), etc. may be used as the downlink channel.

[0373] Furthermore, in the wireless communication system 1, an uplink shared channel (Physical Uplink Shared Channel (PUSCH)) shared by each user terminal 20, an uplink control channel (Physical Uplink Control Channel (PUCCH)), a random access channel (Physical Random Access Channel (PRACH)), or the like may be used as an uplink channel.

[0374] The PDSCH transmits user data, higher layer control information, a System Information Block (SIB), etc. The PUSCH may transmit user data, higher layer control information, etc. Furthermore, the PBCH may transmit a Master Information Block (MIB).

[0375] Lower layer control information may be transmitted by the PDCCH. The lower layer control information may include, for example, Downlink Control Information (DCI) including scheduling information for at least one of the PDSCH and the PUSCH.

[0376] Note that the DCI for scheduling the PDSCH may be referred to as a DL assignment, a DL DCI, etc., and the DCI for scheduling the PUSCH may be referred to as a UL grant, a UL DCI, etc. Note that the PDSCH may be replaced with DL data, and the PUSCH may be replaced with UL data.

[0377] A control resource set (CORESET) and a search space may be used to detect the PDCCH. The CORESET corresponds to resources for searching for DCI. The search space corresponds to a search region and a search method for PDCCH candidates. One CORESET may be associated with one or more search spaces. The UE may monitor the CORESET associated with a certain search space based on the search space configuration.

[0378] One search space may correspond to PDCCH candidates corresponding to one or more aggregation levels. One or more search spaces may be referred to as a search space set. Note that the terms "search space," "search space set," "search space configuration," "search space set configuration," "CORESET," "CORESET configuration," and the like in the present disclosure may be read interchangeably.

[0379] The PUCCH may transmit uplink control information (UCI) including at least one of channel state information (CSI), delivery confirmation information (which may be called, for example, Hybrid Automatic Repeat reQuest ACKnowledgement (HARQ-ACK), ACK / NACK, etc.), and scheduling request (SR). The PRACH may transmit a random access preamble for establishing a connection with a cell.

[0380] In the present disclosure, downlink, uplink, etc. may be expressed without adding "link." Also, various channels may be expressed without adding "Physical" to the beginning.

[0381] In the wireless communication system 1, a synchronization signal (SS), a downlink reference signal (DL-RS), etc. may be transmitted. In the wireless communication system 1, as the DL-RS, a cell-specific reference signal (CRS), a channel state information reference signal (CSI-RS), a demodulation reference signal (DMRS), a positioning reference signal (PRS), a phase tracking reference signal (PTRS), etc. may be transmitted.

[0382] The synchronization signal may be, for example, at least one of a Primary Synchronization Signal (PSS) and a Secondary Synchronization Signal (SSS). A signal block including an SS (PSS, SSS) and a PBCH (and a DMRS for the PBCH) may be referred to as an SS / PBCH block, an SS Block (SSB), or the like. Note that the SS, SSB, and the like may also be referred to as a reference signal.

[0383] Furthermore, in the wireless communication system 1, a sounding reference signal (SRS), a demodulation reference signal (DMRS), or the like may be transmitted as an uplink reference signal (UL-RS). Note that the DMRS may also be called a user equipment-specific reference signal (UE-specific reference signal).

[0384] (Base Station) Fig. 12 is a diagram showing an example of the configuration of a base station according to an embodiment. The base station 10 includes a control unit 110, a transceiver unit 120, a transceiver antenna 130, and a transmission line interface 140. Note that the base station may include one or more of each of the control unit 110, the transceiver unit 120, the transceiver antenna 130, and the transmission line interface 140.

[0385] In this example, the functional blocks of the characteristic parts of the present embodiment are mainly shown, and it may be assumed that the base station 10 also has other functional blocks necessary for wireless communication. Some of the processing of each unit described below may be omitted.

[0386] The control unit 110 performs overall control of the base station 10. The control unit 110 can be configured from a controller, a control circuit, and the like that are explained based on common understanding in the technical field to which the present disclosure relates.

[0387] The control unit 110 may control signal generation, scheduling (e.g., resource allocation, mapping), etc. The control unit 110 may control transmission and reception using the transceiver unit 120, the transceiver antenna 130, and the transmission path interface 140, measurement, etc. The control unit 110 may generate data, control information, sequences, etc. to be transmitted as signals, and transfer them to the transceiver unit 120. The control unit 110 may perform call processing (setting up, releasing, etc.) of communication channels, status management of the base station 10, management of radio resources, etc.

[0388] The transceiver unit 120 may include a baseband unit 121, a radio frequency (RF) unit 122, and a measurement unit 123. The baseband unit 121 may include a transmission processing unit 1211 and a reception processing unit 1212. The transceiver unit 120 may be configured with a transmitter / receiver, an RF circuit, a baseband circuit, a filter, a phase shifter, a measurement circuit, a transceiver circuit, etc., which are described based on common understanding in the technical field related to the present disclosure.

[0389] The transmitting / receiving unit 120 may be configured as an integrated transmitting / receiving unit, or may be configured from a transmitting unit and a receiving unit. The transmitting unit may be configured from a transmission processing unit 1211 and an RF unit 122. The receiving unit may be configured from a reception processing unit 1212, the RF unit 122, and a measurement unit 123.

[0390] The transmitting and receiving antenna 130 can be configured from an antenna described based on common understanding in the technical field to which the present disclosure relates, such as an array antenna.

[0391] The transceiver 120 may transmit the above-mentioned downlink channel, synchronization signal, downlink reference signal, etc. The transceiver 120 may receive the above-mentioned uplink channel, uplink reference signal, etc.

[0392] The transceiver 120 may form at least one of the transmit beam and the receive beam using digital beamforming (e.g., precoding), analog beamforming (e.g., phase rotation), or the like.

[0393] The transmitter / receiver unit 120 (transmission processing unit 1211) may perform Packet Data Convergence Protocol (PDCP) layer processing, Radio Link Control (RLC) layer processing (e.g., RLC retransmission control), Medium Access Control (MAC) layer processing (e.g., HARQ retransmission control), etc. on data, control information, etc. obtained from the control unit 110, and generate a bit string to be transmitted.

[0394] The transmitter / receiver unit 120 (transmission processing unit 1211) may perform transmission processing such as channel coding (which may include error correction coding), modulation, mapping, filtering, Discrete Fourier Transform (DFT) processing (if necessary), Inverse Fast Fourier Transform (IFFT) processing, precoding, and digital-to-analog conversion on the bit string to be transmitted, and output a baseband signal.

[0395] The transceiver unit 120 (RF unit 122) may perform modulation, filtering, amplification, etc. on the baseband signal to a radio frequency band, and transmit the radio frequency band signal via the transceiver antenna 130.

[0396] On the other hand, the transceiver unit 120 (RF unit 122) may perform amplification, filtering, demodulation to a baseband signal, etc. on the radio frequency band signal received by the transceiver antenna 130.

[0397] The transceiver 120 (reception processing unit 1212) may apply reception processing such as analog-to-digital conversion, Fast Fourier Transform (FFT) processing, Inverse Discrete Fourier Transform (IDFT) processing (if necessary), filtering, demapping, demodulation, decoding (which may include error correction decoding), MAC layer processing, RLC layer processing, and PDCP layer processing to the acquired baseband signal, thereby acquiring user data, etc.

[0398] The transceiver 120 (measurement unit 123) may perform measurements on the received signal. For example, the measurement unit 123 may perform Radio Resource Management (RRM) measurements, Channel State Information (CSI) measurements, etc. based on the received signal. The measurement unit 123 may measure received power (e.g., Reference Signal Received Power (RSRP)), received quality (e.g., Reference Signal Received Quality (RSRQ), Signal to Interference plus Noise Ratio (SINR), Signal to Noise Ratio (SNR)), signal strength (e.g., Received Signal Strength Indicator (RSSI)), propagation path information (e.g., CSI), etc. The measurement results may be output to the control unit 110.

[0399] The transmission path interface 140 may transmit and receive signals (backhaul signaling) between devices included in the core network 30 (e.g., network nodes that provide NF), other base stations 10, etc., and may acquire and transmit user data (user plane data), control plane data, etc. for the user terminal 20.

[0400] The transmitting section and receiving section of the base station 10 in the present disclosure may be configured by at least one of the transmitting / receiving section 120, the transmitting / receiving antenna 130, and the transmission path interface 140.

[0401] The transceiver 120 may transmit a configuration related to a monitoring result report of the model. The controller 110 may control the monitoring result report. The monitoring result report may be associated with a Channel State Information (CSI) report.

[0402] The controller 110 may control the timing of the monitoring result report or the Channel State Information (CSI) report based on information associated with the monitoring result report and the CSI report.

[0403] The transceiver 120 may transmit a configuration regarding Channel State Information (CSI) reporting based on multiple occasions. The controller 110 may control dropping of the CSI report or channel measurement based on the configuration.

[0404] (User Terminal) Fig. 13 is a diagram showing an example of the configuration of a user terminal according to one embodiment. The user terminal 20 includes a control unit 210, a transceiver unit 220, and a transceiver antenna 230. Note that the user terminal 20 may include one or more of each of the control unit 210, the transceiver unit 220, and the transceiver antenna 230.

[0405] In this example, the functional blocks of the characteristic parts of the present embodiment are mainly shown, and it may be assumed that the user terminal 20 also has other functional blocks necessary for wireless communication. Some of the processing of each unit described below may be omitted.

[0406] The control unit 210 performs overall control of the user terminal 20. The control unit 210 can be configured from a controller, a control circuit, etc., which are described based on common understanding in the technical field to which the present disclosure relates.

[0407] The control unit 210 may control signal generation, mapping, etc. The control unit 210 may control transmission and reception, measurement, etc. using the transceiver unit 220 and the transceiver antenna 230. The control unit 210 may generate data, control information, sequences, etc. to be transmitted as signals and transfer them to the transceiver unit 220.

[0408] The transceiver unit 220 may include a baseband unit 221, an RF unit 222, and a measurement unit 223. The baseband unit 221 may include a transmission processing unit 2211 and a reception processing unit 2212. The transceiver unit 220 may be configured with a transmitter / receiver, an RF circuit, a baseband circuit, a filter, a phase shifter, a measurement circuit, a transceiver circuit, etc., which are described based on common understanding in the technical field related to the present disclosure.

[0409] The transmitting / receiving unit 220 may be configured as an integrated transmitting / receiving unit, or may be composed of a transmitting unit and a receiving unit. The transmitting unit may be composed of a transmission processing unit 2211 and an RF unit 222. The receiving unit may be composed of a reception processing unit 2212, an RF unit 222, and a measurement unit 223.

[0410] The transmitting / receiving antenna 230 can be configured from an antenna described based on common understanding in the technical field to which the present disclosure relates, such as an array antenna.

[0411] The transceiver 220 may receive the above-mentioned downlink channel, synchronization signal, downlink reference signal, etc. The transceiver 220 may transmit the above-mentioned uplink channel, uplink reference signal, etc.

[0412] The transceiver unit 220 may form at least one of the transmit beam and the receive beam using digital beamforming (e.g., precoding), analog beamforming (e.g., phase rotation), or the like.

[0413] The transceiver unit 220 (transmission processing unit 2211) may perform PDCP layer processing, RLC layer processing (e.g., RLC retransmission control), MAC layer processing (e.g., HARQ retransmission control), etc. on data, control information, etc. obtained from the control unit 210, and generate a bit string to be transmitted.

[0414] The transmitter / receiver unit 220 (transmission processing unit 2211) may perform transmission processing such as channel coding (which may include error correction coding), modulation, mapping, filtering, DFT processing (if necessary), IFFT processing, precoding, and digital-to-analog conversion on the bit string to be transmitted, and output a baseband signal.

[0415] Whether or not to apply DFT processing may be based on the setting of transform precoding. When transform precoding is enabled for a certain channel (e.g., PUSCH), the transceiver unit 220 (transmission processing unit 2211) may perform DFT processing as the transmission processing to transmit the channel using a DFT-s-OFDM waveform, and if not, it may not be necessary to perform DFT processing as the transmission processing.

[0416] The transceiver unit 220 (RF unit 222) may perform modulation, filtering, amplification, etc. on the baseband signal to a radio frequency band, and transmit the radio frequency band signal via the transceiver antenna 230.

[0417] On the other hand, the transceiver unit 220 (RF unit 222) may perform amplification, filtering, demodulation to a baseband signal, etc. on the radio frequency band signal received by the transceiver antenna 230.

[0418] The transceiver unit 220 (reception processing unit 2212) may apply reception processing such as analog-to-digital conversion, FFT processing, IDFT processing (if necessary), filtering, demapping, demodulation, decoding (which may include error correction decoding), MAC layer processing, RLC layer processing, and PDCP layer processing to the acquired baseband signal, and acquire user data, etc.

[0419] The transceiver 220 (measurement unit 223) may perform measurements on the received signal. For example, the measurement unit 223 may perform RRM measurements, CSI measurements, etc. based on the received signal. The measurement unit 223 may measure received power (e.g., RSRP), received quality (e.g., RSRQ, SINR, SNR), signal strength (e.g., RSSI), propagation path information (e.g., CSI), etc. The measurement results may be output to the control unit 210.

[0420] The transmitting unit and receiving unit of the user terminal 20 in the present disclosure may be configured by at least one of the transmitting / receiving unit 220 and the transmitting / receiving antenna 230.

[0421] The transceiver 220 may receive a configuration for a monitoring result report of the model. The controller 210 may control the monitoring result report. The monitoring result report may be associated with a Channel State Information (CSI) report. One or more resource settings may be associated with the CSI report configuration. A resource setting may correspond to a reference signal (RS) resource for input or a reference RS resource.

[0422] The control unit 210 may control timing of the monitoring result report or the Channel State Information (CSI) report based on information associated with the monitoring result report and the CSI report. The control unit 210 may determine a CSI calculation time based on an association regarding a CSI calculation delay requirement. The control unit 210 may determine a trigger for the monitoring result report or the CSI report based on a CSI resource for model input or a CSI resource for performance monitoring reference. The control unit 210 may control the monitoring result report or the CSI report based on a CSI reference resource, and may determine the time domain of the CSI reference resource based on a specific rule.

[0423] The transceiver 220 may receive a configuration regarding Channel State Information (CSI) reporting based on multiple occasions. The controller 210 may control dropping of the CSI report or channel measurement based on the configuration. The controller 210 may drop the CSI report if a CSI-RS transmission opportunity for channel measurement does not exist after the CSI reference resource. The controller 210 may drop a report of a predicted precoding matrix indicator (PMI) if multiple transmission opportunities are required for PMI calculation. The controller 210 may control dropping of the CSI report or channel measurement based on the number of occasions.

[0424] (Hardware Configuration) Note that the block diagrams used to explain the above embodiments show functional blocks. These functional blocks (components) are realized by any combination of at least one of hardware and software. Furthermore, the method for realizing each functional block is not particularly limited. That is, each functional block may be realized using a single device that is physically or logically coupled, or may be realized using two or more physically or logically separated devices that are directly or indirectly connected (for example, using wires, wirelessly, etc.) and these multiple devices. The functional block may be realized by combining software with the single device or the multiple devices.

[0425] Here, the functions include, but are not limited to, judgment, determination, judgment, calculation, computation, processing, derivation, investigation, search, confirmation, reception, transmission, output, access, resolution, selection, election, establishment, comparison, assumption, expectation, deeming, broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, and assignment. For example, a functional block (component) that performs transmission may be called a transmitting unit, transmitter, etc. As described above, the implementation method of each is not particularly limited.

[0426] For example, a base station, a user terminal, etc. according to an embodiment of the present disclosure may function as a computer that performs processing of the wireless communication method of the present disclosure. Fig. 14 is a diagram illustrating an example of the hardware configuration of a base station and a user terminal according to an embodiment. The above-described base station 10 and user terminal 20 may be physically configured as a computer device including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, etc.

[0427] In the present disclosure, the terms apparatus, circuit, device, section, unit, etc. may be used interchangeably. The hardware configurations of the base station 10 and the user terminal 20 may be configured to include one or more of the devices shown in the drawings, or may be configured to exclude some of the devices.

[0428] For example, although only one processor 1001 is shown, there may be multiple processors. Furthermore, processing may be performed by one processor, or processing may be performed by two or more processors simultaneously, serially, or in other ways. Furthermore, processor 1001 may be implemented by one or more chips.

[0429] Each function in the base station 10 and the user terminal 20 is realized, for example, by loading specified software (programs) onto hardware such as a processor 1001 and a memory 1002, causing the processor 1001 to perform calculations, control communication via the communication device 1004, and control at least one of reading and writing data in the memory 1002 and the storage 1003.

[0430] The processor 1001, for example, runs an operating system to control the entire computer. The processor 1001 may be configured as a central processing unit (CPU) including an interface with peripheral devices, a control device, an arithmetic unit, a register, etc. For example, at least a part of the above-mentioned control unit 110 (210), transceiver unit 120 (220), etc. may be realized by the processor 1001.

[0431] The processor 1001 also reads programs (program codes), software modules, data, etc. from at least one of the storage 1003 and the communication device 1004 into the memory 1002 and executes various processes in accordance with these. The programs used are those that cause a computer to execute at least some of the operations described in the above-described embodiments. For example, the control unit 110 (210) may be implemented by a control program stored in the memory 1002 and running on the processor 1001, and the other functional blocks may be implemented in a similar manner.

[0432] The memory 1002 is a computer-readable recording medium and may be configured by at least one of, for example, Read Only Memory (ROM), Erasable Programmable ROM (EPROM), Electrically EEPROM (EEPROM), Random Access Memory (RAM), or other suitable storage medium. The memory 1002 may also be referred to as a register, cache, main memory, etc. The memory 1002 may store executable programs (program codes), software modules, etc. for implementing a wireless communication method according to an embodiment of the present disclosure.

[0433] Storage 1003 is a computer-readable recording medium and may be composed of at least one of, for example, a flexible disk, a floppy disk, a magneto-optical disk (e.g., a compact disc (e.g., a Compact Disc ROM (CD-ROM)), a digital versatile disc, a Blu-ray disc), a removable disk, a hard disk drive, a smart card, a flash memory device (e.g., a card, a stick, a key drive), a magnetic stripe, a database, a server, or other suitable storage medium. Storage 1003 may also be referred to as an auxiliary storage device.

[0434] The communication device 1004 is hardware (transmission / reception device) for communicating between computers via at least one of a wired network and a wireless network, and is also referred to as, for example, a network device, a network controller, a network card, or a communication module. The communication device 1004 may be configured to include a high-frequency switch, a duplexer, a filter, a frequency synthesizer, etc. to realize at least one of frequency division duplex (FDD) and time division duplex (TDD). For example, the above-mentioned transmission / reception unit 120 (220), transmission / reception antenna 130 (230), etc. may be realized by the communication device 1004. The transmission / reception unit 120 (220) may be implemented as a transmission unit 120a (220a) and a reception unit 120b (220b) that are physically or logically separated.

[0435] The input device 1005 is an input device (e.g., a keyboard, a mouse, a microphone, a switch, a button, a sensor, etc.) that accepts input from the outside. The output device 1006 is an output device (e.g., a display, a speaker, a light emitting diode (LED) lamp, etc.) that outputs to the outside. Note that the input device 1005 and the output device 1006 may be integrated into one device (e.g., a touch panel).

[0436] Furthermore, each device, such as the processor 1001 and the memory 1002, is connected by a bus 1007 for communicating information. The bus 1007 may be configured using a single bus, or may be configured using different buses between each device.

[0437] Furthermore, the base station 10 and the user terminal 20 may be configured to include hardware such as a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a programmable logic device (PLD), or a field programmable gate array (FPGA), and some or all of the functional blocks may be realized using this hardware. For example, the processor 1001 may be implemented using at least one of these pieces of hardware.

[0438] (Modifications) Note that terms described in the present disclosure and terms necessary for understanding the present disclosure may be replaced with terms having the same or similar meanings. For example, a channel, a symbol, and a signal (signal or signaling) may be interchangeable. A signal may also be a message. A reference signal may be abbreviated as RS, and may also be called a pilot, pilot signal, etc. depending on the applicable standard. A component carrier (CC) may also be called a cell, frequency carrier, carrier frequency, etc.

[0439] A radio frame may be composed of one or more periods (frames) in the time domain. Each of the one or more periods (frames) constituting a radio frame may be called a subframe. Furthermore, a subframe may be composed of one or more slots in the time domain. A subframe may have a fixed time length (e.g., 1 ms) that is independent of numerology.

[0440] Here, the numerology may be a communication parameter applied to at least one of transmission and reception of a signal or channel, and may indicate at least one of, for example, Subcarrier Spacing (SCS), bandwidth, symbol length, cyclic prefix length, Transmission Time Interval (TTI), number of symbols per TTI, radio frame structure, specific filtering performed by a transceiver in the frequency domain, and specific windowing performed by a transceiver in the time domain.

[0441] A slot may be composed of one or more symbols (such as an Orthogonal Frequency Division Multiplexing (OFDM) symbol or a Single Carrier Frequency Division Multiple Access (SC-FDMA) symbol) in the time domain. A slot may also be a time unit based on numerology.

[0442] A slot may include multiple minislots. Each minislot may consist of one or multiple symbols in the time domain. A minislot may also be called a subslot. A minislot may consist of fewer symbols than a slot. A PDSCH (or PUSCH) transmitted in a time unit larger than a minislot may be called PDSCH (PUSCH) mapping type A. A PDSCH (or PUSCH) transmitted using a minislot may be called PDSCH (PUSCH) mapping type B.

[0443] A radio frame, a subframe, a slot, a minislot, and a symbol all represent time units for transmitting signals. The radio frame, the subframe, the slot, the minislot, and the symbol may be referred to by other names corresponding to the radio frame, the subframe, the slot, the minislot, and the symbol. Note that the time units such as a frame, a subframe, a slot, a minislot, and a symbol in the present disclosure may be interchangeable.

[0444] For example, one subframe may be referred to as a TTI, or multiple consecutive subframes may be referred to as a TTI, or one slot or one minislot may be referred to as a TTI. That is, at least one of the subframe and the TTI may be a subframe (1 ms) in existing LTE, a period shorter than 1 ms (for example, 1-13 symbols), or a period longer than 1 ms. Note that the unit representing the TTI may be called a slot, minislot, etc. instead of a subframe.

[0445] Here, TTI refers to, for example, the smallest time unit for scheduling in wireless communication. For example, in an LTE system, a base station performs scheduling to allocate radio resources (such as frequency bandwidth and transmission power that can be used by each user terminal) to each user terminal in TTI units. Note that the definition of TTI is not limited to this.

[0446] The TTI may be a transmission time unit for a channel-encoded data packet (transport block), a code block, a code word, etc., or may be a processing unit for scheduling, link adaptation, etc. When a TTI is given, the time interval (e.g., the number of symbols) to which a transport block, a code block, a code word, etc. is actually mapped may be shorter than the TTI.

[0447] When one slot or one minislot is called a TTI, one or more TTIs (i.e., one or more slots or one or more minislots) may be the minimum time unit for scheduling. Also, the number of slots (minislots) constituting the minimum time unit for scheduling may be controlled.

[0448] A TTI having a time length of 1 ms may be called a regular TTI (TTI in 3GPP Rel. 8-12), normal TTI, long TTI, regular subframe, normal subframe, long subframe, slot, etc. A TTI shorter than a regular TTI may be called a shortened TTI, short TTI, partial or fractional TTI, shortened subframe, short subframe, minislot, subslot, slot, etc.

[0449] In addition, a long TTI (e.g., a normal TTI, a subframe, etc.) may be interpreted as a TTI having a time length of more than 1 ms, and a short TTI (e.g., a shortened TTI, etc.) may be interpreted as a TTI having a TTI length shorter than the TTI length of a long TTI and greater than or equal to 1 ms.

[0450] A resource block (RB) is a resource allocation unit in the time domain and the frequency domain, and may include one or more consecutive subcarriers in the frequency domain. The number of subcarriers included in an RB may be the same regardless of numerology, for example, 12. The number of subcarriers included in an RB may be determined based on numerology.

[0451] In addition, an RB may include one or more symbols in the time domain and may have a length of one slot, one minislot, one subframe, or one TTI, each of which may be composed of one or more resource blocks.

[0452] In addition, one or more RBs may be referred to as a physical resource block (PRB), a sub-carrier group (SCG), a resource element group (REG), a PRB pair, an RB pair, etc.

[0453] Furthermore, a resource block may be composed of one or more resource elements (REs). For example, one RE may be a radio resource region of one subcarrier and one symbol.

[0454] A Bandwidth Part (BWP), which may also be referred to as a partial bandwidth, may represent a subset of contiguous common resource blocks (RBs) for a given numerology on a given carrier, where the common RBs may be identified by their index relative to a Common Reference Point of the carrier. PRBs may be defined in a BWP and numbered within the BWP.

[0455] The BWP may include a UL BWP (BWP for UL) and a DL BWP (BWP for DL). One or more BWPs may be configured for a UE within one carrier.

[0456] At least one of the configured BWPs may be active, and the UE may not expect to transmit or receive a given signal / channel outside the active BWP. Note that the terms "cell," "carrier," etc. in this disclosure may be read as "BWP."

[0457] The above-described structures of radio frames, subframes, slots, minislots, symbols, etc. are merely examples. For example, the number of subframes included in a radio frame, the number of slots per subframe or radio frame, the number of minislots included in a slot, the number of symbols and RBs included in a slot or minislot, the number of subcarriers included in an RB, the number of symbols in a TTI, the symbol length, the cyclic prefix (CP) length, etc. may be changed in various ways.

[0458] Furthermore, the information, parameters, etc. described in the present disclosure may be expressed using absolute values, may be expressed using relative values ​​from a predetermined value, or may be expressed using other corresponding information. For example, a radio resource may be indicated by a predetermined index.

[0459] The names used for parameters and the like in this disclosure are not intended to be limiting in any way. Furthermore, the mathematical expressions and the like using these parameters may differ from those explicitly disclosed in this disclosure. The various channels (PUCCH, PDCCH, etc.) and information elements may be identified by any suitable names, and therefore the various names assigned to these various channels and information elements are not intended to be limiting in any way.

[0460] The information, signals, etc. described in this disclosure may be represented using any of a variety of different technologies. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, optical fields or photons, or any combination thereof.

[0461] Furthermore, information, signals, etc. may be output from a higher layer to a lower layer and / or from a lower layer to a higher layer. Information, signals, etc. may be input / output via multiple network nodes.

[0462] Input and output information, signals, etc. may be stored in a specific location (for example, memory) or may be managed using a management table. Input and output information, signals, etc. may be overwritten, updated, or added. Output information, signals, etc. may be deleted. Input information, signals, etc. may be transmitted to another device.

[0463] The notification of information is not limited to the aspects / embodiments described in the present disclosure, and may be performed using other methods. For example, the notification of information in the present disclosure may be performed by physical layer signaling (e.g., Downlink Control Information (DCI) and Uplink Control Information (UCI)), higher layer signaling (e.g., Radio Resource Control (RRC) signaling, broadcast information (Master Information Block (MIB) and System Information Block (SIB)), Medium Access Control (MAC) signaling), other signals, or a combination thereof.

[0464] Note that the physical layer signaling may be referred to as Layer 1 / Layer 2 (L1 / L2) control information (L1 / L2 control signal), L1 control information (L1 control signal), etc. Furthermore, the RRC signaling may be referred to as an RRC message, such as an RRC Connection Setup message or an RRC Connection Reconfiguration message. Furthermore, the MAC signaling may be notified using, for example, a MAC Control Element (CE).

[0465] Furthermore, notification of specified information (e.g., notification that "it is X") is not limited to explicit notification, but may be made implicitly (e.g., by not notifying the specified information or by notifying other information).

[0466] The determination may be made by a value represented by one bit (0 or 1), by a Boolean value represented by true or false, or by a comparison of numerical values ​​(e.g., comparison with a predetermined value).

[0467] Software shall be construed broadly to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures, functions, etc., whether referred to as software, firmware, middleware, microcode, hardware description language, or otherwise.

[0468] Software, instructions, information, etc. may also be transmitted or received over a transmission medium. For example, if software is transmitted from a website, server, or other remote source using wired technologies (such as coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL)), and / or wireless technologies (such as infrared, microwave), these wired and / or wireless technologies are included within the definition of transmission media.

[0469] As used in this disclosure, the terms "system" and "network" may be used interchangeably. A "network" may refer to devices included in the network (e.g., base stations).

[0470] In the present disclosure, terms such as "precoding," "precoder," "weight (precoding weight)," "Quasi-Co-Location (QCL)," "Transmission Configuration Indication state (TCI state)," "spatial relation," "spatial domain filter," "transmit power," "phase rotation," "antenna port," "antenna port group," "layer," "number of layers," "rank," "resource," "resource set," "resource group," "beam," "beam width," "beam angle," "antenna," "antenna element," "panel," etc. may be used interchangeably.

[0471] In the present disclosure, terms such as "base station (BS)," "radio base station," "fixed station," "NodeB," "eNB (eNodeB)," "gNB (gNodeB)," "access point," "transmission point (TP)," "reception point (RP)," "transmission / reception point (TRP)," "panel," "cell," "sector," "cell group," "carrier," "component carrier," etc. may be used interchangeably. Base stations may also be referred to by terms such as macrocell, small cell, femtocell, picocell, etc.

[0472] A base station can accommodate one or more (e.g., three) cells. When a base station accommodates multiple cells, the overall coverage area of ​​the base station can be partitioned into multiple smaller areas, and each smaller area can be provided with communication service by a base station subsystem (e.g., a small indoor base station (Remote Radio Head (RRH))). The terms "cell" or "sector" refer to part or all of the coverage area of ​​a base station and / or base station subsystem that provides communication service within that coverage.

[0473] In the present disclosure, a base station transmitting information to a terminal may be interpreted as the base station instructing the terminal to control / operate based on the information.

[0474] In this disclosure, the terms "Mobile Station (MS)," "user terminal," "User Equipment (UE)," "terminal," etc. may be used interchangeably.

[0475] A mobile station may also be referred to as a subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, or some other suitable terminology.

[0476] At least one of the base station and the mobile station may be called a transmitting device, a receiving device, a wireless communication device, etc. Note that at least one of the base station and the mobile station may be a device mounted on a moving object, the moving object itself, etc.

[0477] The mobile body is a movable object that can move at any speed and naturally includes cases where the mobile body is stationary. Examples of the mobile body include, but are not limited to, vehicles, transport vehicles, automobiles, motorcycles, bicycles, connected cars, excavators, bulldozers, wheel loaders, dump trucks, forklifts, trains, buses, handcars, rickshaws, ships and other watercraft, airplanes, rockets, satellites, drones, multicopters, quadcopters, balloons, and objects mounted thereon. The mobile body may also be a mobile body that moves autonomously based on an operation command.

[0478] The mobile object may be a vehicle (e.g., a car, an airplane, etc.), an unmanned mobile object (e.g., a drone, an autonomous vehicle, etc.), or a robot (manned or unmanned). Note that at least one of the base station and the mobile station may also include devices that do not necessarily move during communication operations. For example, at least one of the base station and the mobile station may be an Internet of Things (IoT) device such as a sensor.

[0479] 15 is a diagram showing an example of a vehicle according to an embodiment. The vehicle 40 includes a drive unit 41, a steering unit 42, an accelerator pedal 43, a brake pedal 44, a shift lever 45, left and right front wheels 46, left and right rear wheels 47, axles 48, an electronic control unit 49, various sensors (including a current sensor 50, an RPM sensor 51, an air pressure sensor 52, a vehicle speed sensor 53, an acceleration sensor 54, an accelerator pedal sensor 55, a brake pedal sensor 56, a shift lever sensor 57, and an object detection sensor 58), an information service unit 59, and a communication module 60.

[0480] The drive unit 41 is configured with at least one of an engine, a motor, and a hybrid of an engine and a motor, for example. The steering unit 42 includes at least a steering wheel (also called a handle) and is configured to steer at least one of the front wheels 46 and the rear wheels 47 based on the operation of the steering wheel operated by a user.

[0481] The electronic control unit 49 is composed of a microprocessor 61, memory (ROM, RAM) 62, and a communication port (for example, an input / output (IO) port) 63. Signals are input to the electronic control unit 49 from various sensors 50-58 provided in the vehicle. The electronic control unit 49 may also be called an Electronic Control Unit (ECU).

[0482] The signals from the various sensors 50-58 include a current signal from a current sensor 50 that senses the current of the motor, a rotation speed signal of the front wheels 46 / rear wheels 47 obtained by a rotation speed sensor 51, an air pressure signal of the front wheels 46 / rear wheels 47 obtained by an air pressure sensor 52, a vehicle speed signal obtained by a vehicle speed sensor 53, an acceleration signal obtained by an acceleration sensor 54, a depression amount signal of the accelerator pedal 43 obtained by an accelerator pedal sensor 55, a depression amount signal of the brake pedal 44 obtained by a brake pedal sensor 56, an operation signal of the shift lever 45 obtained by a shift lever sensor 57, and a detection signal for detecting obstacles, vehicles, pedestrians, etc. obtained by an object detection sensor 58.

[0483] The information service unit 59 is composed of various devices, such as a car navigation system, an audio system, speakers, a display, a television, and a radio, for providing (outputting) various information such as driving information, traffic information, and entertainment information, and one or more ECUs for controlling these devices. The information service unit 59 uses information acquired from external devices via the communication module 60 or the like to provide various information / services (e.g., multimedia information / multimedia services) to the occupants of the vehicle 40.

[0484] The information service unit 59 may include input devices (e.g., keyboards, mice, microphones, switches, buttons, sensors, touch panels, etc.) that accept input from the outside, and may also include output devices (e.g., displays, speakers, LED lamps, touch panels, etc.) that output to the outside.

[0485] The driving assistance system unit 64 includes various devices for providing functions to prevent accidents and reduce the driver's driving burden, such as millimeter-wave radar, Light Detection and Ranging (LiDAR), cameras, positioning locators (e.g., Global Navigation Satellite System (GNSS)), map information (e.g., High Definition (HD) maps, Autonomous Vehicle (AV) maps), gyro systems (e.g., Inertial Measurement Units (IMUs), Inertial Navigation Systems (INSs)), artificial intelligence (AI) chips, and AI processors, as well as one or more ECUs that control these devices. The driving assistance system unit 64 also transmits and receives various information via the communication module 60 to realize driving assistance functions or autonomous driving functions.

[0486] The communication module 60 can communicate with the microprocessor 61 and components of the vehicle 40 via the communication port 63. For example, the communication module 60 transmits and receives data (information) via the communication port 63 to and from the drive unit 41, steering unit 42, accelerator pedal 43, brake pedal 44, shift lever 45, left and right front wheels 46, left and right rear wheels 47, axles 48, the microprocessor 61 and memory (ROM, RAM) 62 in the electronic control unit 49, and the various sensors 50-58, which are provided in the vehicle 40.

[0487] The communication module 60 is a communication device that can be controlled by the microprocessor 61 of the electronic control unit 49 and can communicate with an external device. For example, it transmits and receives various information to and from the external device via wireless communication. The communication module 60 may be located either inside or outside the electronic control unit 49. The external device may be, for example, the base station 10 or the user terminal 20 described above. Furthermore, the communication module 60 may be, for example, at least one of the base station 10 and the user terminal 20 described above (or may function as at least one of the base station 10 and the user terminal 20).

[0488] The communication module 60 may transmit at least one of signals from the above-mentioned various sensors 50-58 input to the electronic control unit 49, information obtained based on the signals, and information based on input from the outside (user) obtained via the information service unit 59 to an external device via wireless communication. The electronic control unit 49, the various sensors 50-58, the information service unit 59, etc. may be referred to as input units that accept input. For example, the PUSCH transmitted by the communication module 60 may include information based on the above-mentioned input.

[0489] The communication module 60 receives various information (traffic information, traffic signal information, vehicle distance information, etc.) transmitted from an external device and displays it on an information service unit 59 provided in the vehicle. The information service unit 59 may also be called an output unit that outputs information (for example, outputs information to a device such as a display or speaker based on the PDSCH received by the communication module 60 (or data / information decoded from the PDSCH)).

[0490] Furthermore, the communication module 60 stores various information received from external devices in a memory 62 that can be used by the microprocessor 61. Based on the information stored in the memory 62, the microprocessor 61 may control the drive unit 41, steering unit 42, accelerator pedal 43, brake pedal 44, shift lever 45, left and right front wheels 46, left and right rear wheels 47, axles 48, various sensors 50-58, and the like provided in the vehicle 40.

[0491] Furthermore, a base station in the present disclosure may be read as a user terminal. For example, the aspects / embodiments of the present disclosure may be applied to a configuration in which communication between a base station and a user terminal is replaced with communication between multiple user terminals (which may be called, for example, Device-to-Device (D2D) or Vehicle-to-Everything (V2X)). In this case, the user terminal 20 may be configured to have the functions of the base station 10 described above. Furthermore, terms such as "uplink" and "downlink" may be read as terms corresponding to terminal-to-terminal communication (for example, "sidelink"). For example, terms such as an uplink channel and a downlink channel may be read as a sidelink channel.

[0492] Similarly, the user terminal in the present disclosure may be read as a base station, in which case the base station 10 may be configured to have the functions of the user terminal 20 described above.

[0493] In the present disclosure, an operation described as being performed by a base station may be performed by its upper node in some cases. It is apparent that in a network including one or more network nodes having a base station, various operations performed for communication with a terminal may be performed by the base station, one or more network nodes other than the base station (such as, but not limited to, a Mobility Management Entity (MME), a Serving-Gateway (S-GW), etc.), or a combination thereof.

[0494] Each aspect / embodiment described in this disclosure may be used alone, in combination, or switched depending on the implementation. Furthermore, the order of the processing procedures, sequences, flowcharts, etc. of each aspect / embodiment described in this disclosure may be changed unless inconsistent. For example, the methods described in this disclosure present elements of various steps using an example order, and are not limited to the particular order presented.

[0495] Each aspect / embodiment described in the present disclosure may be a technology other than Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 6th generation mobile communication system (6G), xth generation mobile communication system (xG (x is, for example, an integer or decimal number)), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New radio access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.17 (WiMAX (registered trademark)), IEEE 802.19 (WiMAX (registered trademark)), IEEE 802.20 (WiMAX (registered trademark)), IEEE 802.21 (Wi-Fi (registered trademark)), IEEE 802.22 (WiMAX (registered trademark)), IEEE 802.23 (WiMAX (registered trademark)), IEEE 802.24 (WiMAX (registered trademark)), IEEE 802.25 (WiMAX (registered trademark)), IEEE 802.26 (WiMAX (registered trademark)), IEEE 802.27 (WiMAX (registered trademark)), IEEE 802.28 (WiMAX (registered trademark)), IEEE 802.29 (WiMAX (registered trademark)), IEEE 802.30 (WiMAX (registered trademark)), IEEE 802.31 (Wi-Fi (registered trademark)), IEEE 802.32 (WiMAX (registered trademark)), IEEE 802.33 (WiMAX (registered trademark)), IEEE 802. The present invention may be applied to systems that use IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), or other suitable wireless communication methods, or to next-generation systems that are expanded, modified, created, or defined based on these. Furthermore, the present invention may be applied to a combination of multiple systems (e.g., a combination of LTE or LTE-A and 5G).

[0496] As used in this disclosure, the phrase "based on" does not mean "based only on," unless expressly stated otherwise. In other words, the phrase "based on" means both "based only on" and "based at least on."

[0497] As used in this disclosure, any reference to an element using a designation such as "first," "second," etc. does not generally limit the quantity or order of those elements. These designations may be used in this disclosure as a convenient method of distinguishing between two or more elements. Thus, a reference to a first and a second element does not imply that only two elements may be employed or that the first element must in some way precede the second element.

[0498] The term "determining" as used in this disclosure may encompass a wide variety of actions. For example, "determining" may be considered to be judging, calculating, computing, processing, deriving, investigating, looking up, search, inquiry (e.g., looking up in a table, database, or another data structure), ascertaining, etc.

[0499] Additionally, "determining" may be considered to be "determining" receiving (e.g., receiving information), transmitting (e.g., sending information), input, output, accessing (e.g., accessing data in memory), etc.

[0500] Also, "determination" may be considered to be "deciding" resolving, selecting, choosing, establishing, comparing, etc. In other words, "determination" may be considered to be "deciding" some action.

[0501] Furthermore, "judgment (decision)" may be read as "assuming," "expecting," "considering," or the like.

[0502] The "maximum transmit power" in this disclosure may mean the maximum value of transmit power, the nominal UE maximum transmit power, or the rated UE maximum transmit power.

[0503] As used in this disclosure, the terms "connected," "coupled," or any variation thereof, refer to any direct or indirect connection or coupling between two or more elements, and may include the presence of one or more intermediate elements between two elements that are "connected" or "coupled" to each other. The coupling or connection between elements may be physical, logical, or a combination thereof. For example, "connected" may be read as "access."

[0504] In this disclosure, when two elements are connected, they may be considered to be "connected" or "coupled" to one another using one or more wires, cables, printed electrical connections, etc., as well as using electromagnetic energy having wavelengths in the radio frequency range, microwave range, light (both visible and invisible) range, etc., as some non-limiting and non-exhaustive examples.

[0505] In the present disclosure, the term "A and B are different" may mean "A and B are different from each other." The term may also mean "A and B are each different from C." Terms such as "separate" and "coupled" may also be interpreted in the same way as "different."

[0506] When the terms "include," "including," and variations thereof are used in this disclosure, these terms are intended to be inclusive, similar to the term "comprising." Furthermore, when the term "or" is used in this disclosure, it is not intended to be an exclusive or.

[0507] In this disclosure, where articles are added by translation, such as a, an, and the in English, the disclosure may include that the nouns following these articles are in the plural form.

[0508] In the present disclosure, terms such as "less than or equal to," "less than," "greater than," "more than," "equal to," etc. may be interchangeable. Furthermore, in the present disclosure, terms meaning "good," "bad," "big," "small," "high," "low," "fast," "slow," etc. may be interchangeable (without being limited to the positive, comparative, or superlative). Furthermore, in the present disclosure, terms meaning "good," "bad," "big," "small," "high," "low," "fast," "slow," etc. may be interchangeable (without being limited to the positive, comparative, or superlative) with "i-th" added (for example, "highest" may be interchangeable with "i-th highest").

[0509] In this disclosure, the terms "of," "for," "regarding," "related to," "associated with," etc. may be read interchangeably.

[0510] Although the invention according to the present disclosure has been described in detail above, it is clear to those skilled in the art that the invention according to the present disclosure is not limited to the embodiments described in the present disclosure. The invention according to the present disclosure can be implemented in modified and altered forms without departing from the spirit and scope of the invention as defined by the description of the claims. Therefore, the description of the present disclosure is intended to be illustrative and explanatory and does not impose any limiting meaning on the invention according to the present disclosure.

Claims

1. A terminal having a receiving unit that receives settings regarding a monitoring result report of a model, and a control unit that controls the monitoring result report, wherein the control unit controls the timing of the monitoring result report or the Channel State Information (CSI) report based on information associated with the monitoring result report and the CSI report.

2. The terminal according to claim 1, wherein the control unit determines the CSI calculation time based on an association regarding a CSI calculation delay requirement.

3. The terminal according to claim 1, wherein the control unit determines whether to trigger the monitoring result report or the CSI report based on a CSI resource for model input or a CSI resource for performance monitoring reference.

4. The terminal according to claim 1, wherein the control unit controls the monitoring result report or the CSI report based on a CSI reference resource, and determines a time domain of the CSI reference resource based on a specific rule.

5. A wireless communication method for a terminal, comprising: a step of receiving settings regarding a monitoring result report of a model; and a step of controlling the monitoring result report, and controlling timing of the monitoring result report or the Channel State Information (CSI) report based on information associated with the monitoring result report and the CSI report.

6. A base station comprising: a transmitting unit that transmits settings regarding a monitoring result report of a model; and a control unit that controls the monitoring result report, wherein the control unit controls the timing of the monitoring result report or the Channel State Information (CSI) report based on information associated with the monitoring result report and the CSI report.

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