WO2023218650A1 - Terminal, procédé de communication radio et station de base - Google Patents

Terminal, procédé de communication radio et station de base Download PDF

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Publication number
WO2023218650A1
WO2023218650A1 PCT/JP2022/020245 JP2022020245W WO2023218650A1 WO 2023218650 A1 WO2023218650 A1 WO 2023218650A1 JP 2022020245 W JP2022020245 W JP 2022020245W WO 2023218650 A1 WO2023218650 A1 WO 2023218650A1
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Prior art keywords
information
csi
model
input
present disclosure
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PCT/JP2022/020245
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English (en)
Japanese (ja)
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春陽 越後
浩樹 原田
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株式会社Ｎｔｔドコモ
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports

Definitions

  • the present disclosure relates to a terminal, a wireless communication method, and a base station in a next-generation mobile communication system.
  • LTE Long Term Evolution
  • 3GPP Rel. 10-14 LTE-Advanced (3GPP Rel. 10-14) has been specified for the purpose of further increasing capacity and sophistication of LTE (Third Generation Partnership Project (3GPP) Releases (Rel.) 8 and 9).
  • LTE Long Term Evolution
  • 5G 5th generation mobile communication system
  • 5G+ plus
  • NR New Radio
  • E-UTRA Evolved Universal Terrestrial Radio Access
  • E-UTRAN Evolved Universal Terrestrial Radio Access Network
  • AI artificial intelligence
  • ML machine learning
  • CSI channel state information reference signal
  • one of the purposes of the present disclosure is to provide a terminal, a wireless communication method, and a base station that can realize suitable overhead reduction/channel estimation/resource utilization.
  • a terminal inputs input information including compression-related information for changing the settings or operation of an encoder to the encoder, and generates channel state information (Channel State Information) based on output bits.
  • CSI Channel State Information
  • suitable overhead reduction/channel estimation/resource utilization can be achieved.
  • FIG. 1 is a diagram illustrating an example of an AI model management framework.
  • FIG. 2 is a diagram illustrating an example of CSI feedback using an encoder/decoder.
  • FIG. 3 is a diagram showing an example of an AI model.
  • 4A-4F are diagrams illustrating an example of the shape of input information according to Embodiment 1.1.
  • FIG. 5 is a diagram illustrating an example of how input information according to Embodiment 1.2 is reconfigured.
  • FIG. 6 is a diagram illustrating an example of the settings of the AI model according to Embodiment 1.3.
  • FIG. 7 shows the existing Rel.
  • 15/16 is a diagram showing the correspondence between BWP size and subband size in NR.
  • FIG. 8 is a diagram showing the correspondence between BWP size and subband size in Embodiment 2.1.
  • FIG. 9 is a diagram showing the correspondence between the BWP size and the subband size in Embodiment 2.2.
  • 10A and 10B are diagrams illustrating an example of adjustment regarding input to the encoder in Embodiment 3.2.
  • FIG. 11 is a diagram illustrating an example of adjustment regarding input to the encoder in Embodiment 3.4.
  • FIG. 12 is a diagram illustrating an example of a schematic configuration of a wireless communication system according to an embodiment.
  • FIG. 13 is a diagram illustrating an example of the configuration of a base station according to an embodiment.
  • FIG. 14 is a diagram illustrating an example of the configuration of a user terminal according to an embodiment.
  • FIG. 15 is a diagram illustrating an example of the hardware configuration of a base station and a user terminal according to an embodiment.
  • FIG. 16 is a diagram illustrating an example of a vehicle according to an embodiment.
  • AI Artificial Intelligence
  • ML machine learning
  • improved Channel State Information Reference Signal e.g., reduced overhead, improved accuracy, prediction
  • improved beam management e.g., improved accuracy, time
  • positioning e.g., position estimation/prediction in the spatial domain
  • position measurement e.g., position estimation/prediction
  • FIG. 1 is a diagram illustrating an example of an AI model management framework.
  • each stage related to the AI model is shown as a block.
  • This example is also expressed as AI model life cycle management.
  • the data collection stage corresponds to the stage of collecting data for generating/updating an AI model.
  • the data collection stage includes data reduction (e.g., deciding which data to transfer for model training/model inference), data transfer (e.g., to entities performing model training/model inference (e.g., UE, gNB)), and transfer data).
  • model training is performed based on the data (training data) transferred from the collection stage.
  • This stage includes data preparation (e.g., performing data preprocessing, cleaning, formatting, transformation, etc.), model training/validation, and model testing (e.g., ensuring that the trained model meets performance thresholds).
  • model exchange e.g., transferring a model for distributed learning
  • model deployment/updating deploying/updating a model to entities performing model inference
  • model inference is performed based on the data (inference data) transferred from the collection stage.
  • This stage includes data preparation (e.g., performing data preprocessing, cleaning, formatting, transformation, etc.), model inference, model monitoring (e.g., monitoring the performance of model inference), and model performance feedback (the entity performing model training). (feedback of model performance to actors), output (provide model output to actors), etc.
  • the actor stage includes action triggers (e.g., deciding whether to trigger an action on other entities), feedback (e.g., feeding back information necessary for training data/inference data/performance feedback), etc. May include.
  • action triggers e.g., deciding whether to trigger an action on other entities
  • feedback e.g., feeding back information necessary for training data/inference data/performance feedback
  • training of a model for mobility optimization may be performed, for example, in Operation, Administration and Maintenance (Management) (OAM) in a network (Network (NW)) / gNodeB (gNB).
  • OAM Operation, Administration and Maintenance
  • NW Network
  • gNodeB gNodeB
  • the former has advantages in interoperability, large storage capacity, operator manageability, and model flexibility (e.g., feature engineering). In the latter case, the advantage is that there is no need for model update latency or data exchange for model development.
  • Inference of the above model may be performed in the gNB, for example.
  • the entity that performs training/inference may be different.
  • the OAM/gNB may perform model training and the gNB may perform model inference.
  • a Location Management Function may perform model training, and the LMF may perform model inference.
  • the OAM/gNB/UE may perform model training and the gNB/UE (jointly) may perform model inference.
  • the OAM/gNB/UE may perform model training and the UE may perform model inference.
  • FIG. 2 is a diagram illustrating an example of CSI feedback using an encoder/decoder.
  • the UE inputs input information to an encoder and transmits information (CSI feedback) including encoded bits that are output from an antenna.
  • the base station inputs the bits of the received CSI feedback to a corresponding decoder to obtain reconstructed input information to be output.
  • the input information may be, for example, information on channel coefficients or information on precoding coefficients (elements of a precoding matrix).
  • the input information may correspond to CSI.
  • the encoded bits are more compressed than the input information before being encoded, and a reduction in communication overhead related to CSI feedback can be expected.
  • the NW be able to grasp CSI in different bandwidths for resource management. Since the size of the input/output of an encoder is related to the bandwidth, it is preferable to be able to change the size (number of bits) of the input/output of the encoder. However, typically one AI model is only associated with a particular size. Encoders that can accommodate such flexible input/output sizes have not yet been studied.
  • Another issue is configuring the UE so that it can use multiple AI models for resource management. For example, large communication overhead is required to notify the UE of AI model information from the NW. In particular, high-performance AI models are generally complex models, and a huge amount of information is required to notify information about the model. Furthermore, it is difficult to make multiple AI models executable (also referred to as compiling) in the UE because it requires a large amount of memory.
  • a terminal (user terminal, User Equipment (UE))/Base Station (BS) trains an ML model in a training mode. , implements the ML model in an inference mode (also called inference mode, inference mode, etc.). In the inference mode, the accuracy of the trained ML model trained in the training mode may be verified.
  • UE User Equipment
  • BS Base Station
  • the UE/BS inputs channel state information, reference signal measurements, etc. to the ML model to obtain highly accurate channel state information/measurements/beam selection/position, future channel state information, etc. /Wireless link quality, etc. may be output.
  • AI may be read as an object (also referred to as a target, object, data, function, program, etc.) that has (implements) at least one of the following characteristics: ⁇ Estimation based on observed or collected information; - Selection based on observed or collected information; - Predictions based on observed or collected information.
  • an object may be, for example, an apparatus, a device, such as a terminal or a base station. Furthermore, in the present disclosure, an object may correspond to a program/model/entity that operates on the device.
  • the ML model may be replaced by an object that has (implements) at least one of the following characteristics: ⁇ Produce estimates by feeding information, ⁇ Predict the estimated value by giving information, ⁇ Discover characteristics by providing information, ⁇ Select an action by providing information.
  • ML model, model, AI model, predictive analytics, predictive analysis model, etc. may be read interchangeably.
  • the ML model may be derived using at least one of regression analysis (eg, linear regression analysis, multiple regression analysis, logistic regression analysis), support vector machine, random forest, neural network, deep learning, and the like.
  • regression analysis eg, linear regression analysis, multiple regression analysis, logistic regression analysis
  • support vector machine random forest, neural network, deep learning, and the like.
  • a model may be interpreted as at least one of an encoder, a decoder, a tool, etc.
  • the ML model Based on the input information, the ML model outputs at least one information such as an estimated value, a predicted value, a selected action, a classification, etc.
  • the ML model may include supervised learning, unsupervised learning, reinforcement learning, and the like.
  • Supervised learning may be used to learn general rules that map inputs to outputs.
  • Unsupervised learning may be used to learn features of the data.
  • Reinforcement learning may be used to learn actions to maximize a goal.
  • generation, calculation, derivation, etc. may be read interchangeably.
  • implementation, operation, operation, execution, etc. may be read interchangeably.
  • training, learning, updating, retraining, etc. may be used interchangeably.
  • inference, after-training, production use, actual use, etc. may be read interchangeably.
  • Signal may be interchanged with signal/channel.
  • the training mode may correspond to a mode in which the UE/BS transmits/receives signals for the ML model (in other words, an operation mode during the training period).
  • the inference mode may correspond to a mode in which the UE/BS implements an ML model (e.g., implements a trained ML model to predict an output) (in other words, an operating mode during the inference period). good.
  • the training mode may mean a mode in which a specific signal transmitted in the inference mode has a large overhead (for example, a large amount of resources).
  • training mode may mean a mode that refers to a first configuration (for example, a first DMRS configuration, a first CSI-RS configuration, a first CSI reporting configuration).
  • inference mode refers to a mode that refers to a second configuration different from the first configuration (e.g., second DMRS configuration, second CSI-RS configuration, second CSI reporting configuration). You may.
  • the first setting at least one of measurement-related time resources, frequency resources, code resources, and ports (antenna ports) may be set more than in the second setting.
  • the CSI report settings may include settings related to an autoencoder.
  • the relevant entities are the UE and the BS, but the application of each embodiment of the present disclosure is not limited to this.
  • the UE and BS in the embodiment below may be replaced with a first UE and a second UE.
  • the UE, BS, etc. of the present disclosure may be replaced with any UE/BS.
  • AI model information may mean information including at least one of the following: ⁇ AI model input/output information, ⁇ Pre-processing/post-processing information for AI model input/output, ⁇ Information on AI model parameters, ⁇ Training information for AI models (training information), ⁇ Inference information for AI models, ⁇ Performance information regarding AI models.
  • the input/output information of the AI model may include information regarding at least one of the following: - Contents of input/output data (e.g. RSRP, SINR, amplitude/phase information in channel matrix (or precoding matrix), information on angle of arrival (AoA), angle of departure (AoD)) ), location information), ⁇ Data auxiliary information (may be called meta information), - type of input/output data (e.g. immutable value, floating point number), - Quantization interval (quantization step size) of input/output data (for example, 1 dBm for L1-RSRP), - The range that input/output data can take (for example, [0, 1]).
  • - Contents of input/output data e.g. RSRP, SINR, amplitude/phase information in channel matrix (or precoding matrix), information on angle of arrival (AoA), angle of departure (AoD)) ), location information
  • ⁇ Data auxiliary information may be called meta information
  • the information regarding AoA may include information regarding at least one of the azimuth angle of arrival and the zenith angle of arrival (ZoA). Further, the information regarding the AoD may include, for example, information regarding at least one of a radial azimuth angle of departure and a radial zenith angle of depth (ZoD).
  • the location information may be location information regarding the UE/NW.
  • Location information includes information (e.g., latitude, longitude, altitude) obtained using a positioning system (e.g., Global Navigation Satellite System (GNSS), Global Positioning System (GPS), etc.), and information (e.g., latitude, longitude, altitude) adjacent to the UE.
  • GNSS Global Navigation Satellite System
  • GPS Global Positioning System
  • Information on the base station serving (or serving) e.g.
  • the base station/cell identifier ID
  • BS-UE distance e.g., X/Y/Z axis coordinates, etc.
  • IP Internet Protocol
  • the location information of the UE is not limited to information based on the location of the BS, but may be information based on a specific point.
  • the location information may include information regarding its own implementation (for example, location/position/orientation of antennas, location/orientation of antenna panels, number of antennas, number of antenna panels, etc.).
  • the location information may include mobility information.
  • the mobility information may include information indicating at least one of the mobility type, the moving speed of the UE, the acceleration of the UE, the moving direction of the UE, and the like.
  • the mobility types are fixed location UE, movable/moving UE, no mobility UE, low mobility UE, and medium mobility UE.
  • environmental information may be information regarding the environment in which the data is acquired/used, such as frequency information (band ID, etc.), environment type information (indoor, etc.). , outdoor, Urban Macro (UMa), Urban Micro (Umi), etc.), Line Of Site (LOS)/Non-Line Of Site (NLOS), etc. Good too.
  • frequency information band ID, etc.
  • environment type information indoor, etc.
  • outdoor Urban Macro (UMa), Urban Micro (Umi), etc.
  • LOS Line Of Site
  • NLOS Non-Line Of Site
  • LOS may mean that the UE and the base station are in an environment where they can see each other (or there is no shielding)
  • NLOS may mean that the UE and the base station are not in an environment where they can see each other (or there is no shielding).
  • the information indicating LOS/NLOS may indicate a soft value (for example, probability of LOS/NLOS) or may indicate a hard value (for example, either LOS/NLOS).
  • meta information may mean, for example, information regarding input/output information suitable for an AI model, information regarding acquired/obtainable data, etc.
  • the meta information includes information regarding beams of RS (for example, CSI-RS/SRS/SSB, etc.) (for example, the pointing angle of each beam, 3 dB beam width, the shape of the pointing beam, (number of beams), gNB/UE antenna layout information, frequency information, environment information, meta information ID, etc.
  • RS for example, CSI-RS/SRS/SSB, etc.
  • the meta information may be used as input/output of the AI model.
  • the pre-processing/post-processing information for the input/output of the AI model may include information regarding at least one of the following: - whether to apply normalization (e.g., Z-score normalization, min-max normalization); - Parameters for normalization (e.g. mean/variance for Z-score normalization, minimum/maximum for min-max normalization), - Whether to apply a specific numerical conversion method (e.g. one hot encoding, label encoding, etc.); - Selection rules for whether or not to be used as training data.
  • normalization e.g., Z-score normalization, min-max normalization
  • Parameters for normalization e.g. mean/variance for Z-score normalization, minimum/maximum for min-max normalization
  • a specific numerical conversion method e.g. one hot encoding, label encoding, etc.
  • Selection rules for whether or not to be used as training data.
  • the information on the parameters of the AI model may include information regarding at least one of the following: ⁇ Weight (e.g. neuron coefficient (coupling coefficient)) information in the AI model, ⁇ Structure of the AI model, ⁇ Type of AI model as model component (e.g. ResNet, DenseNet, RefineNet, Transformer model, CRBlock, Recurrent Neural Network (RNN), Long Short Memory -Term Memory (LSTM)), Gated Recurrent Unit (GRU)), - Functions of the AI model as a model component (e.g. decoder, encoder).
  • ⁇ Weight e.g. neuron coefficient (coupling coefficient)
  • ⁇ Structure of the AI model e.g. ResNet, DenseNet, RefineNet, Transformer model, CRBlock, Recurrent Neural Network (RNN), Long Short Memory -Term Memory (LSTM)), Gated Recurrent Unit (GRU)
  • - Functions of the AI model as a model component e.g. decoder, encode
  • the weight information in the AI model may include information regarding at least one of the following: ⁇ Bit width (size) of weight information, ⁇ Quantization interval of weight information, - Granularity of weight information, ⁇ The range that weight information can take, ⁇ Weight parameters in the AI model, ⁇ Difference information from the AI model before update (if updating), ⁇ Weight initialization methods (e.g. zero initialization, random initialization (based on normal distribution/uniform distribution/truncated normal distribution), Xavier initialization (for sigmoid functions), He initialization (rectified) For Rectified Linear Units (ReLU)).
  • ⁇ Bit width (size) of weight information e.g. zero initialization, random initialization (based on normal distribution/uniform distribution/truncated normal distribution), Xavier initialization (for sigmoid functions), He initialization (rectified) For Rectified Linear Units (ReLU)).
  • the structure of the AI model may include information regarding at least one of the following: ⁇ Number of layers, - Type of layer (e.g. convolution 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 to put this function (e.g. after which layer)).
  • ⁇ Number of layers e.g. convolution layer, activation layer, dense layer, normalization layer, pooling layer, attention layer
  • ⁇ Layer information e.g. bidirectionality, time step
  • Parameters for training e.g. type of function (L2 regularization, dropout function, etc.), where to put this function (e.g. after which layer)).
  • the layer information may include information regarding at least one of the following: ⁇ Number of neurons in each layer, ⁇ Kernel size, ⁇ Stride for pooling layer/convolution layer, ⁇ Pooling method (MaxPooling, AveragePooling, etc.), ⁇ Residual block information, ⁇ Number of heads, ⁇ Normalization methods (batch normalization, instance normalization, layer normalization, etc.), - Activation function (sigmoid, tanh function, ReLU, leaky ReLU information, Maxout, Softmax).
  • FIG. 3 is a diagram showing an example of an AI model.
  • This example shows an AI model that includes ResNet as model component #1, a transformer model as model component #2, a dense layer, and a normalization layer.
  • ResNet as model component #1
  • transformer model as model component #2
  • dense layer a dense layer
  • normalization layer a normalization layer
  • one AI model may be included as a component of another AI model.
  • FIG. 3 may be an AI model in which processing progresses from left to right.
  • the training information for the AI model may include information regarding at least one of the following: ⁇ Information for the optimization algorithm (e.g., optimization type (Stochastic Gradient Descent (SGD), AdaGrad, Adam, etc.), optimization parameters (learning rate, momentum, etc.) information, etc.), ⁇ Information on the loss function (for example, information on the metrics of the loss function (Mean Absolute Error (MAE), Mean Square Error (MSE)), cross entropy loss, NLLLoss, Kullback- Leibler (KL) divergence, etc.), parameters to be frozen for training (e.g. layers, weights), - parameters to be updated (e.g.
  • optimization type Stochastic Gradient Descent (SGD), AdaGrad, Adam, etc.
  • optimization parameters learning rate, momentum, etc.
  • ⁇ Information on the loss function for example, information on the metrics of the loss function (Mean Absolute Error (MAE), Mean Square Error (MSE)),
  • ⁇ Parameters for example, layers, weights
  • How to train/update the AI model e.g. (recommended) number of epochs, batch size, number of data used for training.
  • the inference information for the AI model may include information regarding branch pruning of a decision tree, parameter quantization, functions of the AI model, and the like.
  • the function 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, an autoencoder for beam management, etc.
  • An autoencoder for CSI feedback may be used as follows: - The UE inputs the CSI/channel matrix/precoding matrix into the encoder's AI model and transmits the output encoded bits as CSI feedback (CSI report). - The BS inputs the received encoded bits into the decoder's AI model and reconstructs the output CSI/channel matrix/precoding matrix.
  • the UE/BS inputs sparse (or thick) beam-based measurements (beam quality, e.g. RSRP) into an AI model and outputs dense (or thin) beam quality. It's okay.
  • beam quality e.g. RSRP
  • the UE/BS may input time-series (past, current, etc.) measurement results (beam quality, e.g. RSRP) to the AI model and output future beam quality.
  • time-series past, current, etc.
  • beam quality e.g. RSRP
  • the performance information regarding the AI model may include information regarding the expected value of a loss function defined for the AI model.
  • the AI model information in the present disclosure may include information regarding the applicable range (applicable range) of the AI model.
  • the applicable range may be indicated by a physical cell ID, a serving cell index, etc.
  • Information regarding the scope of application may be included in the above-mentioned environmental information.
  • AI model information regarding a specific AI model may be predefined in a standard, or may be notified to the UE from a network (NW).
  • the AI model defined in the standard may be called a reference AI model.
  • AI model information regarding the reference AI model may be referred to as reference AI model information.
  • the AI model information in the present disclosure may include an index (for example, may be referred to as an AI model index, AI model ID, model ID, etc.) for identifying an AI model.
  • 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 the standard, or may be notified from the NW to the UE.
  • the AI model information in the present disclosure may be referred to as AI model related information (relevant information), simply related information, or the like.
  • the AI model related information does not need to explicitly include information for identifying the AI model.
  • the AI model related information may be information containing only meta information, for example.
  • A/B and “at least one of A and B” may be read interchangeably. Furthermore, in the present disclosure, “A/B/C” may mean “at least one of A, B, and C.”
  • Radio Resource Control RRC
  • RRC parameters RRC parameters
  • RRC messages upper layer parameters, fields, Information Elements (IEs), settings, etc.
  • IEs Information Elements
  • CE Medium Access Control Element
  • update command activation/deactivation command, etc.
  • the upper layer signaling may be, for example, Radio Resource Control (RRC) signaling, Medium Access Control (MAC) signaling, broadcast information, etc., or a combination thereof.
  • RRC Radio Resource Control
  • MAC Medium Access Control
  • MAC signaling may use, for example, a MAC Control Element (MAC CE), a MAC Protocol Data Unit (PDU), or the like.
  • Broadcast information includes, for example, a master information block (MIB), a system information block (SIB), a minimum system information (RMSI), and other system information ( Other System Information (OSI)) may also be used.
  • MIB master information block
  • SIB system information block
  • RMSI minimum system information
  • OSI Other System Information
  • the physical layer signaling may be, for example, downlink control information (DCI), uplink control information (UCI), etc.
  • DCI downlink control information
  • UCI uplink control information
  • an index an identifier (ID), an indicator, a resource ID, etc.
  • ID an identifier
  • indicator an indicator
  • resource ID a resource ID
  • sequences, lists, sets, groups, groups, clusters, subsets, etc. may be used interchangeably.
  • a panel, a UE panel, a panel group, a beam, a beam group, a precoder, an uplink (UL) transmitting entity, a transmission/reception point (TRP), a base station, and a spatial relation information (SRI) are described.
  • SRS resource indicator SRI
  • control resource set CONtrol REsource SET (CORESET)
  • Physical Downlink Shared Channel PDSCH
  • codeword CW
  • Transport Block Transport Block
  • TB transport Block
  • RS reference signal
  • antenna port e.g. demodulation reference signal (DMRS) port
  • antenna port group e.g.
  • DMRS port group groups (e.g., spatial relationship groups, Code Division Multiplexing (CDM) groups, reference signal groups, CORESET groups, Physical Uplink Control Channel (PUCCH) groups, PUCCH resource groups), resources (e.g., reference signal resources, SRS resource), resource set (for example, reference signal resource set), CORESET pool, downlink Transmission Configuration Indication state (TCI state) (DL TCI state), uplink TCI state (UL TCI state), unified TCI Unified TCI state, common TCI state, quasi-co-location (QCL), QCL assumption, etc. may be read interchangeably.
  • groups e.g., spatial relationship groups, Code Division Multiplexing (CDM) groups, reference signal groups, CORESET groups, Physical Uplink Control Channel (PUCCH) groups, PUCCH resource groups
  • resources e.g., reference signal resources, SRS resource
  • resource set for example, reference signal resource set
  • CORESET pool downlink Transmission Configuration Indication state (TCI state) (DL TCI state), up
  • CSI-RS Non Zero Power (NZP) CSI-RS, Zero Power (ZP) CSI-RS, and CSI Interference Measurement (CSI-IM) are: They may be read interchangeably. Additionally, the CSI-RS may include other reference signals.
  • NZP Non Zero Power
  • ZP Zero Power
  • CSI-IM CSI Interference Measurement
  • RS to be measured/reported may mean RS to be measured/reported for CSI reporting.
  • timing, time, time, slot, subslot, symbol, subframe, etc. may be read interchangeably.
  • direction, axis, dimension, domain, polarization, polarization component, etc. may be read interchangeably.
  • the RS may be, for example, a CSI-RS, an SS/PBCH block (SS block (SSB)), or the like.
  • the RS index may be a CSI-RS resource indicator (CSI-RS resource indicator (CRI)), an SS/PBCH block resource indicator (SS/PBCH block indicator (SSBRI)), or the like.
  • estimation, prediction, and inference may be used interchangeably.
  • estimate the terms “estimate,” “predict,” and “infer” may be used interchangeably.
  • autoencoder, encoder, decoder, etc. may be replaced with at least one of a model, ML model, neural network model, AI model, AI algorithm, etc. Further, the autoencoder may be interchanged with any autoencoder such as a stacked autoencoder or a convolutional autoencoder.
  • the encoder/decoder of the present disclosure may adopt models such as Residual Network (ResNet), DenseNet, RefineNet, etc.
  • encoder encoding, encoding, modification/change/control by encoder, etc.
  • decoder decoding, decoding, modification/change/control by decoder, etc.
  • channel measurement/estimation includes, for example, a channel state information reference signal (CSI-RS), a synchronization signal (SS), a synchronization signal/broadcast channel (Synchronization Signal/Physical It may be performed using at least one of a Broadcast Channel (SS/PBCH) block, a demodulation reference signal (DMRS), a measurement reference signal (Sounding Reference Signal (SRS)), and the like.
  • CSI-RS channel state information reference signal
  • SS synchronization signal
  • SS/PBCH Broadcast Channel
  • DMRS demodulation reference signal
  • SRS Sounding Reference Signal
  • CSI includes a channel quality indicator (CQI), a precoding matrix indicator (PMI), and a CSI-RS resource indicator (CRI).
  • CQI channel quality indicator
  • PMI precoding matrix indicator
  • CRI CSI-RS resource indicator
  • SSBRI SS/PBCH Block Resource Indicator
  • LI Layer Indicator
  • RI Rank Indicator
  • L1-RSRP Reference in Layer 1 Signal received power (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) ), channel matrix (or channel information regarding the precoding matrix (or precoding coefficients), and the like.
  • UCI UCI
  • CSI report CSI feedback
  • feedback information feedback bit, etc.
  • bits, bit strings, bit sequences, sequences, values, information, values obtained from bits, information obtained from bits, etc. may be interchanged.
  • layers for encoders may be interchanged with layers (input layer, intermediate layer, etc.) used in the AI model.
  • the layers of the present disclosure include an input layer, an intermediate layer, an output layer, a batch normalization layer, a convolution layer, an activation layer, a dense layer, a normalization layer, a pooling layer, an attention layer, a dropout layer, It may correspond to at least one of the fully connected layers.
  • the first embodiment relates to input (input information) to an encoder.
  • the input information may include information to be compressed (hereinafter also referred to as compressed information).
  • the compressed information may be information about channel coefficients/precoding coefficients, or may be amplitude/phase information about channel coefficients/precoding coefficients.
  • the compressed information may be the above coefficient information (or the above amplitude/phase information) for each subband/antenna port.
  • the compressed information may be information (also referred to as angle/beam area information) obtained by applying an inverse discrete Fourier transform (IDFT) to the above coefficients for each antenna.
  • IDFT inverse discrete Fourier transform
  • the information may be information obtained by applying IDFT to the coefficients for each subband (which may also be referred to as delay domain information).
  • the compressed information may be referred to as CSI before compression, or simply CSI.
  • the channel coefficient information includes amplitude/phase information about the channel coefficients, IDFT applied information to the channel coefficients for each antenna (which may be referred to as angular/beam domain channel coefficient information), They may be interchanged with information such as information obtained by applying IDFT to channel coefficients for each subband (which may also be referred to as delay domain channel coefficient information).
  • the precoding coefficient information includes amplitude/phase information about the precoding coefficient, information to which IDFT is applied to the precoding coefficient for each antenna (referred to as angle/beam domain precoding coefficient information). (may also be referred to as delay domain precoding coefficient information), information on which IDFT is applied to precoding coefficients for each subband (may be referred to as delay domain precoding coefficient information), etc.
  • the size/shape of the input information is the number of antenna ports of the UE/gNB, the number of subbands, and the number of samples of channel coefficient information in the angle/beam area (angle/beam area ), the number of samples of channel coefficient information in the delay domain (the number of samples in the delay domain), the number of samples corresponding to the angle, and the number of samples corresponding to the extracted angle (number of beams)/corresponding to the extracted delay.
  • the number of samples to be used may depend on at least one of the following. Subbands will be described later in the second embodiment. Note that the number of samples may be interchanged with the number of elements, the number of data, etc.
  • the size/shape of the input information is the number of antenna ports, the number of layers, the number of subbands, and the number of samples of precoding coefficient information in the angle/beam area ( angle/number of samples in the beam area), number of samples of precoding coefficient information in the delay area (number of samples in the delay area), number of samples corresponding to the angle, and number of samples corresponding to the extracted angle (number of beams)/ and the number of samples corresponding to the extracted delay.
  • the shape may mean the number of inputs (or outputs) given to the AI model, or the data shape (configuration) of the input/CSI/the above parameters (for example, the number of rows and columns of the arrangement, etc.) may also mean.
  • FIGS. 4A to 4F are diagrams showing examples of the shape of input information according to Embodiment 1.1.
  • 4A to 4C show cases in which the input information is channel coefficient information
  • FIGS. 4D to 4F show cases in which the input information is precoding coefficient information.
  • FIG. 4A shows input information in a three-dimensional array, and the number of data is the number of subbands x the number of antenna ports of gNB x the number of antenna ports of UE.
  • FIG. 4B shows input information in a two-dimensional array, and the number of data is the number of subbands ⁇ the number of antenna ports (of the UE/gNB).
  • FIG. 4C shows input information in a one-dimensional array (vector), and the number of data is the number of subbands ⁇ the number of antenna ports (of the UE/gNB).
  • FIG. 4D shows input information in a three-dimensional array, and the number of data is the number of layers x number of subbands x number of antenna ports of gNB.
  • FIG. 4E shows input information in a two-dimensional array for each layer, and the number of data is the number of subbands ⁇ the number of antenna ports of gNB. Note that the information in FIG. 4E for multiple layers may be input information.
  • FIG. 4F shows input information of a one-dimensional array (vector) for each layer, and the number of data is the number of subbands ⁇ the number of antenna ports of gNB. Note that the information in FIG. 4F for multiple layers may be input information.
  • the input information may include information related to the compressed information (hereinafter also referred to as compression related information). Compression related information may not be reconstructed by the AI decoder.
  • FIG. 5 is a diagram illustrating an example of how input information according to Embodiment 1.2 is reconfigured.
  • the input information includes compressed information and corresponding compression related information.
  • this input information is input to the AI encoder and the encoded bits outputted are input to the AI decoder, only the compressed information may be output.
  • the encoder on the UE side may use the compression-related information to change the settings/operation of the encoder. Since the decoder on the gNB side knows the compression-related information corresponding to the encoded bits (CSI report) that are notified, when the encoded bits are input, the settings/operations of the decoder are can be changed based on compression-related information.
  • the encoded bits do not need to be configured to be able to decode compression related information, but may be configured to be able to be decoded.
  • the compression related information may include CSI frequency information, antenna information, channel environment information, etc.
  • the CSI frequency information may include at least one of the following: - start (first)/center/end (last) frequency for CSI (e.g. carrier frequency, common resource block, physical resource block (PRB) index); - CSI bandwidth (for example, it may be expressed in the number of PRBs or in Hertz (Hz)), ⁇ The size of the subband (for example, it may be expressed in the number of PRBs or in hertz), - CSI-RS subcarrier spacing (SubCarrier Spacing (SCS)).
  • - start (first)/center/end (last) frequency for CSI e.g. carrier frequency, common resource block, physical resource block (PRB) index
  • - CSI bandwidth for example, it may be expressed in the number of PRBs or in Hertz (Hz)
  • the size of the subband for example, it may be expressed in the number of PRBs or in hertz
  • - CSI-RS subcarrier spacing SubCarrier Spacing (SCS)
  • the antenna information may also include information on antenna arrangement (for example, the number of antenna ports in the vertical/horizontal direction, the number of polarized waves, the angle of each polarized wave, etc.).
  • the antenna information may be given for each panel (panel ID) of the UE/gNB.
  • the channel environment information may be the environment information described above.
  • the UE may calculate (derive, generate) the CSI based on the measurements so that the CSI is adapted as input to the AI model.
  • the UE applies any processing (e.g., interpolation, Minimum Mean Squared Error (MMSE) estimation, etc.) to the CSI-RS measurement results so that the CSI is adapted as input to the AI model. Then, the CSI may be calculated. Note that this arbitrary processing may depend on the implementation of the UE.
  • processing e.g., interpolation, Minimum Mean Squared Error (MMSE) estimation, etc.
  • the UE may be configured with time (eg, frame/subframe/slot/symbol, etc.) information associated with the inferred CSI.
  • time eg, frame/subframe/slot/symbol, etc.
  • the UE may report time (eg, frame/subframe/slot/symbol, etc.) information associated with the inferred CSI.
  • time eg, frame/subframe/slot/symbol, etc.
  • the UE may calculate the CSI associated with a particular CSI report configuration/CSI resource configuration/CSI-RS resource configuration (eg, CSI-RS resource mapping information).
  • the particular CSI report settings/CSI resource settings/CSI-RS resource settings may be configured such that the CSI based on the measurement results of the CSI-RS according to them is adapted as input to the AI model.
  • FIG. 6 is a diagram showing an example of the settings of the AI model according to Embodiment 1.3.
  • the UE /NW
  • AI model #00Y is an AI model of the encoder of the autoencoder.
  • the information (related information) for model #00Y may include at least one of the following: ⁇ Model ID: 00Y, ⁇ Model function: Encoder for CSI feedback compression, ⁇ Model input: CSI (eigenvector, channel matrix) for a specific CSI-RS resource mapping, - Model output: encoded bits (X bits).
  • the specific CSI-RS resource mapping information may be recognized as a prerequisite for model input (the above-mentioned compression related information).
  • the AI model information may indicate relevant information that is a prerequisite for the preferred input of the model.
  • the UE receives from the BS a specific CSI report configuration/CSI resource configuration/CSI-RS resource configuration corresponding to a specific CSI-RS resource mapping for model #00Y.
  • the CSI based on the measurement results of the CSI-RS corresponding to the specific CSI-RS resource mapping information is suitable as an input to the AI model #00Y.
  • the UE may expect the CSI report configuration/CSI resource configuration/CSI-RS resource configuration to be configured covering the CSI resource mapping information that falls under the prerequisites of the preferred input of the AI model.
  • the above-mentioned related information may indicate whether the input information includes only compressed information, or includes corresponding compression-related information in addition to compressed information.
  • the NW can appropriately determine, for example, when/which frequency measurement is used to calculate the reported CSI information (encoded bits).
  • the second embodiment relates to subband sizes used for CSI reporting.
  • the CSI report configuration configured in the UE for example, "CSI-ReportConfig" of RRC IE's "reportFreqConfiguration”).
  • the frequency domain information may indicate the frequency granularity of the CSI report.
  • the frequency granularity may include, for example, widebands and subbands.
  • Wideband is the entire CSI reporting band.
  • the wideband may be, for example, the entirety of a certain carrier (component carrier (CC), cell, serving cell), or the entire bandwidth part (BWP) within a certain carrier. There may be.
  • the wideband may also be referred to as a CSI reporting band, the entire CSI reporting band, or the like.
  • a subband is a part of a wideband, and includes one or more resource blocks (RB) (for example, physical resource blocks (PRB)), common resource blocks, (virtual resource blocks, etc.).
  • RB resource blocks
  • PRB physical resource blocks
  • common resource blocks virtual resource blocks, etc.
  • the subband in the present disclosure may be read as one or more subcarriers, one or more arbitrary band units, or the like.
  • the frequency domain information may indicate whether wideband or subband PMI is to be reported (the frequency domain information may include, for example, the RRC IE used to determine whether to report wideband or subband PMI). (may include "pmi-FormatIndicator").
  • the UE may determine the frequency granularity of the CSI report (ie, either wideband PMI report or subband PMI report) based on at least one of the report amount information and frequency domain information.
  • wideband PMI reporting is configured (determined)
  • one wideband PMI may be reported for the entire CSI reporting band.
  • subband PMI reporting is configured, a single wideband indication i1 is reported for the entire CSI reporting band, and a subband indication for each of one or more subbands within the entire CSI reporting band. (one subband indication) i2 (eg, subband indication of each subband) may be reported.
  • the NR UE performs channel estimation using the received RS and estimates a channel matrix H.
  • the UE feeds back an index (PMI) determined based on the estimated channel matrix.
  • the size of the subband may be determined according to the size (number of PRBs) of the BWP (including CSI-RS/CSI) to be measured/reported.
  • FIG. 7 shows the existing Rel. 15/16 is a diagram showing the correspondence between BWP size and subband size in NR.
  • the size of a certain BWP shown in the "Bandwidth part" column in FIG. 7 corresponds to two subband sizes shown in the "Subband size” column.
  • the UE may determine the subband size corresponding to the CSI report based on the subband size information (RRC parameter subbandSize) included in the CSI report configuration.
  • the subband size information indicates the first value (“value1”)
  • the UE uses the first (left side) subband size shown in the “Subband size” column in FIG. indicates a second value (“value2”)
  • the UE may utilize the second (right side) subband size shown in the “Subband size” column of FIG.
  • the UE uses 2PRB or 4PRB as the subband size based on the above subband size information.
  • the encoded bits output using the encoder can reduce the communication overhead related to CSI feedback.
  • the subband size is reduced from the existing value, it is possible to increase the accuracy of CSI feedback while suppressing an increase in communication overhead.
  • Embodiments 2.1 and 2.2 below will explain such determination of subband size.
  • the UE when transmitting encoding CSI, may determine the subband size based on a table different from that in FIG. 7.
  • two subband sizes correspond to the size of a certain BWP, as in FIG. 7, but at least one (or both) values in FIG. 7 correspond to the same BWP. Less than one of the values.
  • FIG. 8 is a diagram showing the correspondence between BWP size and subband size in Embodiment 2.1.
  • the subband size candidate values in FIG. 8 are different from those in FIG. 7.
  • the subband size candidate values are, for example, ⁇ 2,4 ⁇ , ⁇ 2,8 ⁇ , ⁇ 2,16 ⁇ . , ⁇ 2,32 ⁇ , ⁇ 4,8 ⁇ , ⁇ 4,16 ⁇ , ⁇ 4,32 ⁇ , ⁇ 8,16 ⁇ , ⁇ 8,32 ⁇ , ⁇ 16,32 ⁇ , etc. Good too.
  • the first value in FIG. 8 is smaller than the first value in FIG. 7 corresponding to the same BWP. Also, the second value in FIG. 8 is smaller than the second value in FIG. 7 corresponding to the same BWP.
  • the BWP size range in FIG. 8 is divided into the same three ranges as in FIG. 7 (24-72, 73-144, and 145-275), but is not limited to this.
  • the range of the BWP size may be divided into X pieces (X is an integer), and the minimum value, maximum value, etc. of the possible BWP size are not limited to the values shown in FIG. 8.
  • the UE when transmitting encoding CSI, the UE may determine the subband size based on a table different from that in FIG. 7.
  • a certain BWP size corresponds to more than two subband sizes (for example, 3, 4, 5, . . . ).
  • FIG. 9 is a diagram showing the correspondence between BWP size and subband size in Embodiment 2.2.
  • the subband size candidate values in FIG. 9 are composed of four values (first to fourth values).
  • the candidate value of the subband size (the possible values of the first value - the fourth value) may be, for example, at least one of 2, 4, 8, 16, 32, . . . . Note that at least one of the candidate subband size values is smaller than one of the values in FIG. 7 corresponding to the same BWP.
  • the BWP size range in FIG. 9 is divided into the same three ranges as in FIG. 7 (24-72, 73-144, and 145-275), but is not limited to this.
  • the range of the BWP size may be divided into X pieces (X is an integer), and the minimum value, maximum value, etc. of the possible BWP size are not limited to the values shown in FIG.
  • the values that can be indicated by the subband size information (RRC parameter subbandSize) included in the CSI report settings are the same as the existing first value (“value1”) and second value (“value2”).
  • the value is not limited to, and may be, for example, a first value ("value1”), a second value ("value2”), a third value ("value3"), and a fourth value ("value4").
  • the subband size information only needs to be able to indicate the maximum number of subband sizes (for example, 3, 4, 5, . . . ) that can correspond to the size of a certain BWP.
  • two of the first to fourth values in FIG. 9 are smaller than the first value and second value in FIG. 7, which correspond to the same BWP.
  • Embodiment 2.2 more flexible subband size determination can be achieved.
  • the UE can appropriately determine the subband size of the CSI report.
  • a third embodiment relates to input to an autoencoder for CSI feedback.
  • the UE calculates the expected size/number/value/shape of at least one of the input (input information) of the AI model and the parameters used for the input based on the RRC settings.
  • the AI model may not be expected to calculate/report the encoded bits for the CSI if the size/number/value/shape of the CSI and/or the parameters used in the calculation are different. .
  • Embodiment 3.1 if the UE cannot obtain input of the size/shape assumed (expected) by the AI model from the CSI calculation result, the UE encodes the CSI using the AI model. You may decide not to. Additionally, if the parameters used to calculate the CSI are different from the parameters that should be used to obtain the input assumed (expected) by the AI model, the UE determines not to encode the CSI using the AI model. You may.
  • the above parameters may correspond to one or more of the following related to CSI calculation (e.g. related to CSI-RS measured for CSI calculation): ⁇ Number of subbands, - Number of CSI-RS antenna ports (for example, number of CSI-RS ports on the UE side, number of CSI-RS ports on the BS side), ⁇ CSI-RS port number in a certain dimension (for example, CSI-RS corresponding to N1 or N2 specified by at least one of RRC parameters n1-n2, ng-n1-n2, n1-n2-codebookSubsetRestriction, etc.) number of ports), ⁇ Number of layers (for example, number of CSI-RS layers), ⁇ Number of UE antenna ports, - Number of UE/BS panels.
  • ⁇ Number of subbands for example, number of CSI-RS antenna ports (for example, number of CSI-RS ports on the UE side, number of CSI-RS ports on the BS side), ⁇ CSI-
  • the number of CSI-RS ports in a certain dimension may be determined by, for example, N1 or N2 ⁇ coefficient (for example, 2, 4, . . . ).
  • the UE calculates the expected size/number/value/shape of at least one of the input (input information) of the AI model and the parameters used for the input based on the RRC settings. If the size/number/value/shape of the CSI and/or the parameters used in the calculation is smaller than the size/number/value/shape of the CSI and/or the parameters used in the calculation, then the AI model may not be expected to calculate/report the encoded bits for the CSI. .
  • Embodiment 3.2 if the UE can obtain less input from the CSI calculation result than the size/shape assumed (expected) by the AI model, the UE encodes the CSI using the AI model. You may decide not to do so. In addition, if the value of the parameter used to calculate the CSI is smaller than the value of the parameter that should be used to obtain the input assumed (expected) by the AI model, the UE encodes the CSI using the AI model. You may decide not to do so.
  • the UE calculates the expected size/number/value/shape of at least one of the input (input information) of the AI model and the parameters used for the input based on the RRC settings. If the size/number/value/shape of the CSI and/or parameters used in the calculation is greater than : ⁇ Apply branch pruning of the decision tree to the AI model, - Set some of the inputs to the AI model to be specific values (for example, 0, 1, etc.).
  • FIGS. 10A and 10B are diagrams illustrating an example of adjustment regarding input to the encoder in Embodiment 3.2. This example shows adjustment when the expected size/number/value/shape of the input information to the encoder is larger than the size/number/value/shape of the calculated CSI.
  • FIG. 10A decision tree pruning related to missing input information has been applied.
  • FIG. 10B a specific value is input to the input node corresponding to the missing input information.
  • the UE may puncture (discard) some of the information in the CSI before inputting it to the AI model (encoder).
  • the UE determines that the expected size/number/value/shape of at least one of the input (input information) of the AI model and the parameters used for the input is based on the CSI calculated based on the RRC settings and the calculation. If the size/number/value/shape of at least one of the parameters used is smaller than the size/number/value/shape of the CSI/parameter, puncture a part of the CSI/parameter and the remaining CSI/parameter that satisfies the expected size/number/value/shape. may be input into the AI model to calculate/report encoded bits.
  • the UE may determine the information to be punctured based on specific rules, may determine it in advance based on a standard, or may determine it based on information notified by upper layer signaling etc. Alternatively, the determination may be made based on the UE capabilities.
  • the UE may sample (eg, up-sample or down-sample) the information of the CSI (part of it) before inputting it to the AI model (encoder).
  • the UE calculates the expected size/number/value/shape of at least one of the input (input information) of the AI model and the parameters used for the input, based on the RRC settings, and the CSI used for the calculation. If it is larger (smaller) than the size/number/value/shape of at least one of the parameters, apply upsampling (downsampling) to the above CSI/the above parameters and input them to the AI model to calculate encoded bits. /You may report it.
  • the UE may apply upsampling using interpolation to the CSI to increase the number of data and obtain input to the encoder. Further, the UE may apply downsampling using data thinning to the CSI to reduce the number of data and obtain input to the encoder.
  • FIG. 11 is a diagram showing an example of adjustment regarding input to the encoder in Embodiment 3.4. This example shows adjustment when the expected size/number/value/shape of the input information to the encoder is larger than the size/number/value/shape of the calculated CSI.
  • input information satisfying the expected size/number/value/shape is generated by applying upsampling using interpolation to the calculated CSI.
  • the UE may determine the sampling coefficient (for example, a coefficient for how many times to upsample, a coefficient to what fraction to downsample) based on a specific rule.
  • the UE may decide the sampling coefficient based on a specific rule, may decide it in advance based on a standard, or may decide it based on information notified by upper layer signaling etc. However, the determination may be made based on the UE capabilities.
  • the UE calculates the expected size/number/value/shape of at least one of the input (input information) of the AI model and the parameters used for the input based on the RRC settings. Expect to use the AI model to calculate/report the encoded bits for the CSI if the size/number/value/shape of the CSI and/or one of the parameters used in the calculation does not fall within a predetermined multiple. You don't have to.
  • the UE calculates the expected size/number/value/shape of at least one of the input (input information) of the AI model and the parameters used for the input based on the RRC settings and the calculation. If the size/number/value/shape of at least one of the parameters used in The encoded bits may be calculated/reported using
  • the predetermined multiple may be, for example, X (X is, for example, an integer or a real number) for upsampling, or may be, for example, 1/X for downsampling.
  • the UE may decide the predetermined multiple based on a specific rule, may decide it in advance based on a standard, or may decide it based on information notified by upper layer signaling etc. Alternatively, the determination may be made based on the UE capabilities.
  • the predetermined information may be determined for each band, may be common to all bands, may be unique to the UE, or may be common to all UEs.
  • the UE can appropriately determine the subband size of the CSI report.
  • the fourth embodiment relates to the relationship between an autoencoder and a panel for CSI feedback.
  • the panel may be interchanged with a UE capability value set, a UE capability value, or the like.
  • parameters (information) related to a panel may be interchanged with a panel ID, a UE capability index, a capability index, and the like.
  • the UE may report encoded bits associated with a particular panel (CSI feedback).
  • the UE may input (feed) CSI associated with the panel ID of a specific panel to the encoder. If the UE has multiple encoders, it may feed the CSI for each panel to different encoders.
  • the UE can obtain encoded bits only for that specific panel. By doing so, the UE may output encoded bits for different panels at multiple timings using the same encoder.
  • the UE may decide which CSI to feed to the encoder based on the panel ID of a particular panel.
  • the UE may report encoded bits associated with the panel ID of a particular panel.
  • the UE may report one or more encoded bits.
  • each encoded bit among the plurality of encoded bits may be associated with one (different) panel.
  • the UE may omit and transmit one or more encoded bits based on priority rules/priorities.
  • the priority rule/priority may be determined based on the panel ID (associated with the encoded bits).
  • the UE may perform the above omission on a panel-by-panel basis.
  • the encoding is performed in order of priority (the smaller the priority value may be, the higher the priority) within the range that can be accommodated in the modulation symbols allocated for CSI reporting (until it cannot be accommodated). It may also contain bits.
  • the CSI report may include panel information (for example, panel ID) associated with the CSI.
  • the UE may report a CSI report that includes a panel ID related to the CSI instance (encoded bits).
  • the UE may be configured with a number (or a maximum number) of panel IDs that can be reported (or included) in one CSI report.
  • the UE may receive information from the base station that specifies which panel to report the CSI associated with for a certain CSI report. In this case, the CSI report does not need to include the panel ID.
  • the spatial relationship of the antenna panels depends on the device model/model of the UE, and when the spatial relationship of each antenna panel is the same, one AI model can achieve good performance. This can be achieved even if the arrangement of the is different. For example, by encoding CSI for each antenna panel, it can be expected to obtain good performance using only one general AI model.
  • a model ID may be interchanged with an ID corresponding to a set of AI models (model set ID). Further, in the present disclosure, the model ID may be interchanged with the meta information ID.
  • the meta information (or meta information ID) may be associated with beam-related information (beam settings) as described above. For example, the meta information (or meta information ID) may be used by the UE to select an AI model considering which beams the BS is using, or the UE may apply the deployed AI model. It may be used to inform the BS which beam to use for this purpose.
  • the meta information ID may be interchanged with an ID corresponding to a set of meta information (meta information set ID).
  • the notification of any information to the UE is performed using physical layer signaling (e.g., DCI), upper layer signaling (e.g., This may be done using RRC signaling, MAC CE), specific signals/channels (eg, PDCCH, PDSCH, reference signals), or a combination thereof.
  • physical layer signaling e.g., DCI
  • upper layer signaling e.g., This may be done using RRC signaling, MAC CE
  • specific signals/channels eg, PDCCH, PDSCH, reference signals
  • the MAC CE may be identified by including a new logical channel ID (LCID), which is not specified in the existing standard, in the MAC subheader.
  • LCID logical channel ID
  • the above notification When the above notification is performed by a DCI, the above notification includes a specific field of the DCI, a radio network temporary identifier (Radio Network Temporary Identifier (RNTI)), the format of the DCI, etc.
  • RNTI Radio Network Temporary Identifier
  • notification of any information to the UE in the above embodiments may be performed periodically, semi-persistently, or aperiodically.
  • the notification of any information from the UE (to the NW) is performed using physical layer signaling (e.g., UCI), upper layer signaling (e.g., It may be done using RRC signaling, MAC CE), specific signals/channels (eg, PUCCH, PUSCH, reference signals), or a combination thereof.
  • physical layer signaling e.g., UCI
  • upper layer signaling e.g., It may be done using RRC signaling, MAC CE
  • specific signals/channels eg, PUCCH, PUSCH, reference signals
  • the MAC CE may be identified by including a new LCID that is not defined in the existing standard in the MAC subheader.
  • the above notification may be transmitted using PUCCH or PUSCH.
  • notification of arbitrary information from the UE in the above embodiments may be performed periodically, semi-persistently, or aperiodically.
  • the encoder/decoder may be interchanged with the AI model deployed at the UE/base station. That is, the present disclosure is not limited to the case of using an autoencoder, but may be applied to the case of inference using any model. Furthermore, the object that the UE/base station compresses using the encoder in the present disclosure is not limited to CSI (or channel/precoding matrix), but may be any information.
  • At least one of the embodiments described above may be applied only to UEs that have reported or support a particular UE capability.
  • the particular 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 floating point operations (FLOPs (note that s is lowercase)) of the AI model that the UE can deploy (this means the amount of floating point operations), ⁇ Maximum number of parameters of AI model that UE can deploy, ⁇ Layers/algorithms/functions supported by the UE, ⁇ Calculating ability, ⁇ Data collection ability.
  • FLOPs (note that s is lowercase)
  • ⁇ Maximum number of parameters of AI model that UE can deploy this means the amount of floating point operations
  • ⁇ Maximum number of parameters of AI model that UE can deploy ⁇ Layers/algorithms/functions supported by the UE, ⁇ Calculating ability, ⁇ Data collection ability.
  • the specific UE capability may be a capability that is applied across all frequencies (commonly regardless of frequency), or a capability that is applied across all frequencies (for example, a cell, a band, a BWP, a band combination, a component carrier, etc.). or a combination thereof), or it may be a capability for each frequency range (for example, Frequency Range 1 (FR1), FR2, FR3, FR4, FR5, FR2-1, FR2-2). Alternatively, it may be a capability for each subcarrier spacing (SCS).
  • FR1 Frequency Range 1
  • FR2 FR2, FR3, FR4, FR5, FR2-1, FR2-2
  • SCS subcarrier spacing
  • the above-mentioned specific UE capability may be a capability that is applied across all duplex schemes (commonly regardless of the duplex scheme), or may be a capability that is applied across all duplex schemes (for example, Time Division Duplex).
  • the capability may be for each frequency division duplex (TDD)) or frequency division duplex (FDD)).
  • the UE is configured with specific information related to the embodiment described above by upper layer signaling.
  • the specific information may be information indicating that the use of the AI model is enabled, arbitrary RRC parameters for a specific release (for example, Rel. 18), or the like.
  • the UE does not support at least one of the specific UE capabilities or is not configured with the specific information, for example, Rel. 15/16 operations may be applied.
  • the UE may be used for (for compression of) transmission of information between the UE and the base station other than CSI feedback.
  • the UE generates information related to location (or positioning)/information related to location estimation in a location management function (LMF) according to at least one of the above-described embodiments (e.g., using an encoder). You may report it to the network.
  • the information may be channel impulse response (CIR) information for each subband/antenna port. By reporting this, the base station can estimate the location of the UE without reporting the angle/time difference of received signals.
  • CIR channel impulse response
  • a control unit that inputs input information including compression-related information for changing encoder settings or operations to the encoder and derives a Channel State Information (CSI) report based on output bits; , A terminal comprising: a transmitter that transmits the CSI report.
  • the control unit derives the CSI report for a certain bandwidth part (BWP) by applying a subband size smaller than a subband size for the same BWP in Release 16 New Radio (NR).
  • BWP bandwidth part
  • NR Release 16 New Radio
  • the controller selects the CSI report for a certain Bandwidth part (BWP) from two that include a subband size smaller than a subband size for the same BWP in Release 16 New Radio (NR). Supplementary Note 1 or 2, wherein the terminal is derived by applying a subband size selected from many candidates.
  • BWP Bandwidth part
  • wireless communication system The configuration of a wireless communication system according to an embodiment of the present disclosure will be described below.
  • communication is performed using any one of the wireless communication methods according to the above-described embodiments of the present disclosure or a combination thereof.
  • FIG. 12 is a diagram illustrating an example of a schematic configuration of a wireless communication system according to an embodiment.
  • the wireless communication system 1 may be a system that realizes communication using Long Term Evolution (LTE), 5th generation mobile communication system New Radio (5G NR), etc. specified by the Third Generation Partnership Project (3GPP). .
  • LTE Long Term Evolution
  • 5G NR 5th generation mobile communication system New Radio
  • 3GPP Third Generation Partnership Project
  • the wireless communication system 1 may support dual connectivity between multiple Radio Access Technologies (RATs) (Multi-RAT Dual Connectivity (MR-DC)).
  • MR-DC has dual connectivity between LTE (Evolved Universal Terrestrial Radio Access (E-UTRA)) and NR (E-UTRA-NR Dual Connectivity (EN-DC)), and dual connectivity between NR and LTE (NR-E -UTRA Dual Connectivity (NE-DC)).
  • RATs Radio Access Technologies
  • MR-DC has dual connectivity between LTE (Evolved Universal Terrestrial Radio Access (E-UTRA)) and NR (E-UTRA-NR Dual Connectivity (EN-DC)), and dual connectivity between NR and LTE (NR-E -UTRA Dual Connectivity (NE-DC)).
  • E-UTRA Evolved Universal Terrestrial Radio Access
  • EN-DC E-UTRA-NR Dual Connectivity
  • NE-DC NR-E -UTRA Dual Connectivity
  • 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)).
  • the NR base station (gNB) is the MN
  • the LTE (E-UTRA) base station (eNB) is the SN.
  • the wireless communication system 1 has dual connectivity between multiple base stations within the same RAT (for example, dual connectivity (NR-NR Dual Connectivity (NN-DC) where both the MN and SN are NR base stations (gNB)). )) may be supported.
  • dual connectivity NR-NR Dual Connectivity (NN-DC) where both the MN and SN are NR base stations (gNB)).
  • the wireless communication system 1 includes a base station 11 that forms a macro cell C1 with relatively wide coverage, and base stations 12 (12a-12c) that are located within the macro cell C1 and form a small cell C2 that is narrower than the macro cell C1. You may prepare.
  • User terminal 20 may be located within at least one cell. The arrangement, number, etc. of each cell and user terminal 20 are not limited to the embodiment shown in the figure. Hereinafter, when base stations 11 and 12 are not distinguished, they will be collectively referred to as base station 10.
  • the user terminal 20 may be connected to at least one of the plurality of base stations 10.
  • the user terminal 20 may use at least one of carrier aggregation (CA) using a plurality of component carriers (CC) and dual connectivity (DC).
  • CA carrier aggregation
  • CC component carriers
  • DC dual connectivity
  • 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)).
  • Macro cell C1 may be included in FR1
  • small cell C2 may be included in FR2.
  • FR1 may be a frequency band below 6 GHz (sub-6 GHz)
  • FR2 may be a frequency band above 24 GHz (above-24 GHz). Note that the frequency bands and definitions of FR1 and FR2 are not limited to these, and FR1 may correspond to a higher frequency band than FR2, for example.
  • the user terminal 20 may communicate using at least one of time division duplex (TDD) and frequency division duplex (FDD) in each CC.
  • TDD time division duplex
  • FDD frequency division duplex
  • the plurality of base stations 10 may be connected by wire (for example, optical fiber, X2 interface, etc. compliant with Common Public Radio Interface (CPRI)) or wirelessly (for example, NR communication).
  • wire for example, optical fiber, X2 interface, etc. compliant with Common Public Radio Interface (CPRI)
  • NR communication for example, when NR communication is used as a backhaul between base stations 11 and 12, base station 11, which is an upper station, is an Integrated Access Backhaul (IAB) donor, and base station 12, which is a relay station, is an IAB donor. May also be called a node.
  • IAB Integrated Access Backhaul
  • the base station 10 may be connected to the core network 30 via another base station 10 or directly.
  • the core network 30 may include, for example, at least one of Evolved Packet Core (EPC), 5G Core Network (5GCN), Next Generation Core (NGC), and the like.
  • EPC Evolved Packet Core
  • 5GCN 5G Core Network
  • NGC Next Generation Core
  • the user terminal 20 may be a terminal compatible with at least one of communication systems such as LTE, LTE-A, and 5G.
  • an orthogonal frequency division multiplexing (OFDM)-based wireless access method may be used.
  • OFDM orthogonal frequency division multiplexing
  • CP-OFDM Cyclic Prefix OFDM
  • DFT-s-OFDM Discrete Fourier Transform Spread OFDM
  • OFDMA Orthogonal Frequency Division Multiple Access
  • SC-FDMA Single Carrier Frequency Division Multiple Access
  • a wireless access method may also be called a waveform.
  • other wireless access methods for example, other single carrier transmission methods, other multicarrier transmission methods
  • the UL and DL radio access methods may be used as the UL and DL radio access methods.
  • the downlink channels include a physical downlink shared channel (PDSCH) shared by each user terminal 20, a broadcast channel (physical broadcast channel (PBCH)), and a downlink control channel (physical downlink control). Channel (PDCCH)) or the like may be used.
  • PDSCH physical downlink shared channel
  • PBCH physical broadcast channel
  • PDCCH downlink control channel
  • uplink channels include a physical uplink shared channel (PUSCH) shared by each user terminal 20, an uplink control channel (PUCCH), and a random access channel. (Physical Random Access Channel (PRACH)) or the like may be used.
  • PUSCH physical uplink shared channel
  • PUCCH uplink control channel
  • PRACH Physical Random Access Channel
  • User data, upper layer control information, System Information Block (SIB), etc. are transmitted by the PDSCH.
  • User data, upper layer control information, etc. may be transmitted by PUSCH.
  • a Master Information Block (MIB) may be transmitted via the PBCH.
  • Lower layer control information may be transmitted by PDCCH.
  • the lower layer control information may include, for example, downlink control information (DCI) that includes scheduling information for at least one of PDSCH and PUSCH.
  • DCI downlink control information
  • DCI that schedules PDSCH may be called DL assignment, DL DCI, etc.
  • DCI that schedules PUSCH may be called UL grant, UL DCI, etc.
  • PDSCH may be replaced with DL data
  • PUSCH may be replaced with UL data.
  • a control resource set (CONtrol REsource SET (CORESET)) and a search space may be used to detect the PDCCH.
  • CORESET corresponds to a resource for searching DCI.
  • the search space corresponds to a search area and a search method for PDCCH candidates (PDCCH candidates).
  • PDCCH candidates 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.
  • 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 “search space”, “search space set”, “search space setting”, “search space set setting”, “CORESET”, “CORESET setting”, etc. in the present disclosure may be read interchangeably.
  • the PUCCH allows channel state information (CSI), delivery confirmation information (for example, may be called Hybrid Automatic Repeat Request ACKnowledgement (HARQ-ACK), ACK/NACK, etc.), and scheduling request ( Uplink Control Information (UCI) including at least one of SR)) may be transmitted.
  • CSI channel state information
  • delivery confirmation information for example, may be called Hybrid Automatic Repeat Request ACKnowledgement (HARQ-ACK), ACK/NACK, etc.
  • UCI Uplink Control Information including at least one of SR
  • a random access preamble for establishing a connection with a cell may be transmitted by PRACH.
  • downlinks, uplinks, etc. may be expressed without adding "link”.
  • various channels may be expressed without adding "Physical” at the beginning.
  • a synchronization signal (SS), a downlink reference signal (DL-RS), and the like may be transmitted.
  • the DL-RS includes a cell-specific reference signal (CRS), a channel state information reference signal (CSI-RS), and a demodulation reference signal (DeModulation).
  • Reference Signal (DMRS)), Positioning Reference Signal (PRS), Phase Tracking Reference Signal (PTRS), etc. may be transmitted.
  • 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 SS (PSS, SSS) and PBCH (and DMRS for PBCH) may be called an SS/PBCH block, SS Block (SSB), etc. Note that SS, SSB, etc. may also be called reference signals.
  • DMRS Downlink Reference Signal
  • UL-RS uplink reference signals
  • SRS Sounding Reference Signal
  • DMRS demodulation reference signals
  • UE-specific reference signal user terminal-specific reference signal
  • FIG. 13 is a diagram illustrating an example of the configuration of a base station according to an embodiment.
  • the base station 10 includes a control section 110, a transmitting/receiving section 120, a transmitting/receiving antenna 130, and a transmission line interface 140. Note that one or more of each of the control unit 110, the transmitting/receiving unit 120, the transmitting/receiving antenna 130, and the transmission path interface 140 may be provided.
  • this example mainly shows functional blocks that are characteristic of the present embodiment, and it may be assumed that the base station 10 also has other functional blocks necessary for wireless communication. A part of the processing of each unit described below may be omitted.
  • the control unit 110 controls the entire base station 10.
  • the control unit 110 can be configured from a controller, a control circuit, etc., which will be explained based on common recognition in the technical field related to the present disclosure.
  • the control unit 110 may control signal generation, scheduling (e.g., resource allocation, mapping), and the like.
  • the control unit 110 may control transmission and reception, measurement, etc. using the transmitting/receiving unit 120, the transmitting/receiving antenna 130, and the transmission path interface 140.
  • the control unit 110 may generate data, control information, a sequence, etc. to be transmitted as a signal, and may transfer the generated data to the transmitting/receiving unit 120.
  • the control unit 110 may perform communication channel call processing (setting, release, etc.), status management of the base station 10, radio resource management, and the like.
  • the transmitting/receiving section 120 may include a baseband section 121, a radio frequency (RF) section 122, and a measuring section 123.
  • the baseband section 121 may include a transmission processing section 1211 and a reception processing section 1212.
  • the transmitter/receiver unit 120 includes a transmitter/receiver, an RF circuit, a baseband circuit, a filter, a phase shifter, a measurement circuit, a transmitter/receiver circuit, etc., which are explained based on common understanding in the technical field related to the present disclosure. be able to.
  • the transmitting/receiving section 120 may be configured as an integrated transmitting/receiving section, or may be configured from a transmitting section and a receiving section.
  • the transmitting section may include a transmitting processing section 1211 and an RF section 122.
  • the reception section may include a reception processing section 1212, an RF section 122, and a measurement section 123.
  • the transmitting/receiving antenna 130 can be configured from an antenna described based on common recognition in the technical field related to the present disclosure, such as an array antenna.
  • the transmitter/receiver 120 may transmit the above-mentioned downlink channel, synchronization signal, downlink reference signal, etc.
  • the transmitter/receiver 120 may receive the above-mentioned uplink channel, uplink reference signal, and the like.
  • the transmitting/receiving unit 120 may form at least one of a transmitting beam and a receiving beam using digital beamforming (e.g., precoding), analog beamforming (e.g., phase rotation), or the like.
  • digital beamforming e.g., precoding
  • analog beamforming e.g., phase rotation
  • the transmitting/receiving unit 120 (transmission processing unit 1211) performs Packet Data Convergence Protocol (PDCP) layer processing, Radio Link Control (RLC) layer processing (for example, RLC retransmission control), Medium Access Control (MAC) layer processing (for example, HARQ retransmission control), etc. may be performed to generate a bit string to be transmitted.
  • PDCP Packet Data Convergence Protocol
  • RLC Radio Link Control
  • MAC Medium Access Control
  • HARQ retransmission control for example, HARQ retransmission control
  • the transmitting/receiving unit 120 performs channel encoding (which may include error correction encoding), modulation, mapping, filter processing, and discrete Fourier transform (DFT) on the bit string to be transmitted.
  • a baseband signal may be output by performing transmission processing such as processing (if necessary), Inverse Fast Fourier Transform (IFFT) processing, precoding, and digital-to-analog conversion.
  • IFFT Inverse Fast Fourier Transform
  • the transmitting/receiving unit 120 may perform modulation, filter processing, amplification, etc. on the baseband signal in a radio frequency band, and may transmit the signal in the radio frequency band via the transmitting/receiving antenna 130. .
  • the transmitting/receiving section 120 may perform amplification, filter processing, demodulation into a baseband signal, etc. on the radio frequency band signal received by the transmitting/receiving antenna 130.
  • the transmitting/receiving unit 120 (reception processing unit 1212) performs analog-to-digital conversion, fast Fourier transform (FFT) processing, and inverse discrete Fourier transform (IDFT) on the acquired baseband signal. )) processing (if necessary), applying reception processing such as filter processing, demapping, demodulation, decoding (which may include error correction decoding), MAC layer processing, RLC layer processing and PDCP layer processing, User data etc. may also be acquired.
  • FFT fast Fourier transform
  • IDFT inverse discrete Fourier transform
  • the transmitting/receiving unit 120 may perform measurements regarding the received signal.
  • the measurement unit 123 may perform Radio Resource Management (RRM) measurement, Channel State Information (CSI) measurement, etc. based on the received signal.
  • the measurement unit 123 measures received power (for example, Reference Signal Received Power (RSRP)), reception quality (for example, Reference Signal Received Quality (RSRQ), Signal to Interference plus Noise Ratio (SINR), Signal to Noise Ratio (SNR) )) , signal strength (for example, Received Signal Strength Indicator (RSSI)), propagation path information (for example, CSI), etc. may be measured.
  • the measurement results may be output to the control unit 110.
  • the transmission path interface 140 transmits and receives signals (backhaul signaling) between devices included in the core network 30, other base stations 10, etc., and transmits and receives user data (user plane data) for the user terminal 20, control plane It is also possible to acquire and transmit data.
  • the transmitting unit and receiving unit of the base station 10 in the present disclosure may be configured by at least one of the transmitting/receiving unit 120, the transmitting/receiving antenna 130, and the transmission path interface 140.
  • the transmitting/receiving unit 120 inputs input information including compression-related information for changing the settings or operation of the encoder to the encoder and generates channel state information (CSI) based on the output bits.
  • Setting information (CSI report setting information, AI model information, etc.) for deriving a report may be transmitted. Further, the transmitting/receiving unit 120 may receive the CSI report.
  • FIG. 14 is a diagram illustrating an example of the configuration of a user terminal according to an embodiment.
  • the user terminal 20 includes a control section 210, a transmitting/receiving section 220, and a transmitting/receiving antenna 230. Note that one or more of each of the control unit 210, the transmitting/receiving unit 220, and the transmitting/receiving antenna 230 may be provided.
  • this example mainly shows functional blocks that are characteristic of the present embodiment, and it may be assumed that the user terminal 20 also has other functional blocks necessary for wireless communication. A part of the processing of each unit described below may be omitted.
  • the control unit 210 controls the entire user terminal 20.
  • the control unit 210 can be configured from a controller, a control circuit, etc., which will be explained based on common recognition in the technical field related to the present disclosure.
  • the control unit 210 may control signal generation, mapping, etc.
  • the control unit 210 may control transmission and reception using the transmitting/receiving unit 220 and the transmitting/receiving antenna 230, measurement, and the like.
  • the control unit 210 may generate data, control information, sequences, etc. to be transmitted as a signal, and may transfer the generated data to the transmitting/receiving unit 220.
  • the transmitting/receiving section 220 may include a baseband section 221, an RF section 222, and a measuring section 223.
  • the baseband section 221 may include a transmission processing section 2211 and a reception processing section 2212.
  • the transmitting/receiving unit 220 can be configured from a transmitter/receiver, an RF circuit, a baseband circuit, a filter, a phase shifter, a measuring circuit, a transmitting/receiving circuit, etc., which are explained based on common recognition in the technical field related to the present disclosure.
  • the transmitting/receiving section 220 may be configured as an integrated transmitting/receiving section, or may be configured from a transmitting section and a receiving section.
  • the transmitting section may include a transmitting processing section 2211 and an RF section 222.
  • the reception section may include a reception processing section 2212, an RF section 222, and a measurement section 223.
  • the transmitting/receiving antenna 230 can be configured from an antenna, such as an array antenna, as described based on common recognition in the technical field related to the present disclosure.
  • the transmitter/receiver 220 may receive the above-mentioned downlink channel, synchronization signal, downlink reference signal, etc.
  • the transmitter/receiver 220 may transmit the above-mentioned uplink channel, uplink reference signal, and the like.
  • the transmitting/receiving unit 220 may form at least one of a transmitting beam and a receiving beam using digital beamforming (e.g., precoding), analog beamforming (e.g., phase rotation), or the like.
  • digital beamforming e.g., precoding
  • analog beamforming e.g., phase rotation
  • the transmission/reception unit 220 (transmission processing unit 2211) performs PDCP layer processing, RLC layer processing (e.g. RLC retransmission control), MAC layer processing (e.g. , HARQ retransmission control), etc., to generate a bit string to be transmitted.
  • RLC layer processing e.g. RLC retransmission control
  • MAC layer processing e.g. , HARQ retransmission control
  • the transmitting/receiving unit 220 (transmission processing unit 2211) performs channel encoding (which may include error correction encoding), modulation, mapping, filter processing, DFT processing (as necessary), and IFFT processing on the bit string to be transmitted. , precoding, digital-to-analog conversion, etc., and output a baseband signal.
  • DFT processing may be based on the settings of transform precoding.
  • the transmitting/receiving unit 220 transmits the above processing in order to transmit the channel using the DFT-s-OFDM waveform.
  • DFT processing may be performed as the transmission processing, or if not, DFT processing may not be performed as the transmission processing.
  • the transmitting/receiving unit 220 may perform modulation, filter processing, amplification, etc. on the baseband signal in a radio frequency band, and may transmit the signal in the radio frequency band via the transmitting/receiving antenna 230. .
  • the transmitting/receiving section 220 may perform amplification, filter processing, demodulation into a baseband signal, etc. on the radio frequency band signal received by the transmitting/receiving antenna 230.
  • the transmission/reception unit 220 (reception processing unit 2212) performs analog-to-digital conversion, FFT processing, IDFT processing (if necessary), filter processing, demapping, demodulation, and decoding (error correction) on the acquired baseband signal. (which may include decoding), MAC layer processing, RLC layer processing, and PDCP layer processing may be applied to obtain user data and the like.
  • the transmitting/receiving unit 220 may perform measurements regarding the received signal.
  • the measurement unit 223 may perform RRM measurement, CSI measurement, etc. based on the received signal.
  • the measurement unit 223 may measure received power (for example, RSRP), reception quality (for example, RSRQ, SINR, SNR), signal strength (for example, RSSI), propagation path information (for example, CSI), and the like.
  • the measurement results may be output to the control unit 210.
  • 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.
  • control unit 210 inputs input information including compression-related information for changing the settings or operation of the encoder to the encoder and generates channel state information (CSI) based on the output bits. Reports may be derived.
  • the transmitter/receiver 220 may transmit the CSI report.
  • the control unit 210 derives the CSI report for a certain bandwidth part (BWP) by applying a subband size smaller than the subband size for the same BWP in Release 16 New Radio (NR). You may.
  • BWP bandwidth part
  • NR Release 16 New Radio
  • the control unit 210 selects the CSI report for a certain bandwidth part (BWP) from two that include a subband size smaller than the subband size for the same BWP in Release 16 New Radio (NR).
  • BWP bandwidth part
  • the subband size may be derived by applying a subband size selected from many candidates.
  • each functional block may be realized using one physically or logically coupled device, or may be realized using two or more physically or logically separated devices directly or indirectly (e.g. , wired, wireless, etc.) and may be realized using a plurality of these devices.
  • the functional block may be realized by combining software with the one device or the plurality of devices.
  • functions include judgment, decision, judgement, calculation, calculation, processing, derivation, investigation, exploration, confirmation, reception, transmission, output, access, solution, selection, selection, establishment, comparison, assumption, expectation, and consideration. , broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, assigning, etc.
  • a functional block (configuration unit) that performs transmission may be called a transmitting unit, a transmitter, or the like. In either case, as described above, the implementation method is not particularly limited.
  • a base station, a user terminal, etc. in an embodiment of the present disclosure may function as a computer that performs processing of the wireless communication method of the present disclosure.
  • FIG. 15 is a diagram illustrating an example of the hardware configuration of a base station and a user terminal according to an embodiment.
  • the base station 10 and user terminal 20 described above 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. .
  • the hardware configuration of the base station 10 and the user terminal 20 may be configured to include one or more of each device shown in the figure, or may be configured not to include some of the devices.
  • processor 1001 may be implemented using one or more chips.
  • Each function in the base station 10 and the user terminal 20 is performed by, for example, loading predetermined software (program) onto hardware such as a processor 1001 and a memory 1002, so that the processor 1001 performs calculations and communicates via the communication device 1004. This is achieved by controlling at least one of reading and writing data in the memory 1002 and storage 1003.
  • predetermined software program
  • the processor 1001 operates an operating system to control the entire computer.
  • the processor 1001 may be configured by a central processing unit (CPU) that includes interfaces with peripheral devices, a control device, an arithmetic unit, registers, and the like.
  • CPU central processing unit
  • the above-mentioned control unit 110 (210), transmitting/receiving unit 120 (220), etc. may be realized by the processor 1001.
  • the processor 1001 reads programs (program codes), software modules, data, etc. from at least one of the storage 1003 and the communication device 1004 to the memory 1002, and executes various processes in accordance with these.
  • programs program codes
  • software modules software modules
  • data etc.
  • the control unit 110 may be realized by a control program stored in the memory 1002 and operated in the processor 1001, and other functional blocks may also be realized in the same way.
  • the memory 1002 is a computer-readable recording medium, and includes at least one of Read Only Memory (ROM), Erasable Programmable ROM (EPROM), Electrically EPROM (EEPROM), Random Access Memory (RAM), and other suitable storage media. It may be composed of one. Memory 1002 may be called a register, cache, main memory, or the like.
  • the memory 1002 can store executable programs (program codes), software modules, and the like to implement a wireless communication method according to an embodiment of the present disclosure.
  • the storage 1003 is a computer-readable recording medium, such as a flexible disk, a floppy (registered trademark) disk, a magneto-optical disk (for example, a compact disk (CD-ROM), etc.), a digital versatile disk, removable disk, hard disk drive, smart card, flash memory device (e.g., card, stick, key drive), magnetic stripe, database, server, or other suitable storage medium. It may be configured by Storage 1003 may also be called an auxiliary storage device.
  • a computer-readable recording medium such as a flexible disk, a floppy (registered trademark) disk, a magneto-optical disk (for example, a compact disk (CD-ROM), etc.), a digital versatile disk, removable disk, hard disk drive, smart card, flash memory device (e.g., card, stick, key drive), magnetic stripe, database, server, or other suitable storage medium. It may be configured by Storage 1003 may also be called an auxiliary storage device.
  • 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 a network device, network controller, network card, communication module, etc., for example.
  • the communication device 1004 includes, for example, a high frequency switch, a duplexer, a filter, a frequency synthesizer, etc. in order to realize at least one of frequency division duplex (FDD) and time division duplex (TDD). It may be configured to include.
  • FDD frequency division duplex
  • TDD time division duplex
  • the transmitter/receiver 120 (220) may be physically or logically separated into a transmitter 120a (220a) and a receiver 120b (220b).
  • the input device 1005 is an input device (eg, keyboard, mouse, microphone, switch, button, sensor, etc.) that accepts input from the outside.
  • the output device 1006 is an output device (for example, a display, a speaker, a light emitting diode (LED) lamp, etc.) that performs output to the outside. Note that the input device 1005 and the output device 1006 may have an integrated configuration (for example, a touch panel).
  • 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 for each device.
  • the base station 10 and user terminal 20 also include a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a programmable logic device (PLD), a field programmable gate array (FPGA), etc. It may be configured to include hardware, and a part or all of each functional block may be realized using the hardware. For example, processor 1001 may be implemented using at least one of these hardwares.
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • PLD programmable logic device
  • FPGA field programmable gate array
  • channel, symbol and signal may be interchanged.
  • the signal may be a message.
  • the reference signal may also be abbreviated as RS, and may be called a pilot, pilot signal, etc. depending on the applicable standard.
  • a component carrier CC may be called a cell, a frequency carrier, a carrier frequency, or the like.
  • 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.
  • a subframe may be composed of one or more slots in the time domain.
  • a subframe may have a fixed time length (eg, 1 ms) that does not depend on numerology.
  • the numerology may be a communication parameter applied to at least one of transmission and reception of a certain signal or channel.
  • Numerology includes, for example, subcarrier spacing (SCS), bandwidth, symbol length, cyclic prefix length, transmission time interval (TTI), number of symbols per TTI, and radio frame structure. , a specific filtering process performed by the transceiver in the frequency domain, a specific windowing process performed by the transceiver in the time domain, etc.
  • a slot may be composed of one or more symbols (Orthogonal Frequency Division Multiplexing (OFDM) symbols, Single Carrier Frequency Division Multiple Access (SC-FDMA) symbols, etc.) in the time domain. Furthermore, a slot may be a time unit based on numerology.
  • OFDM Orthogonal Frequency Division Multiplexing
  • SC-FDMA Single Carrier Frequency Division Multiple Access
  • a slot may include multiple mini-slots. Each minislot may be made up of one or more symbols in the time domain. Furthermore, a mini-slot may also be called a sub-slot. A minislot may be made up of fewer symbols than a slot.
  • PDSCH (or PUSCH) transmitted in time units larger than minislots may be referred to as PDSCH (PUSCH) mapping type A.
  • PDSCH (or PUSCH) transmitted using minislots may be referred to as PDSCH (PUSCH) mapping type B.
  • Radio frames, subframes, slots, minislots, and symbols all represent time units when transmitting signals. Other names may be used for the radio frame, subframe, slot, minislot, and symbol. Note that time units such as frames, subframes, slots, minislots, and symbols in the present disclosure may be read interchangeably.
  • one subframe may be called a TTI
  • a plurality of consecutive subframes may be called a TTI
  • one slot or one minislot may be called a TTI.
  • at least one of the subframe and TTI may be a subframe (1ms) in existing LTE, a period shorter than 1ms (for example, 1-13 symbols), or a period longer than 1ms. It may be.
  • the unit representing the TTI may be called a slot, minislot, etc. instead of a subframe.
  • TTI refers to, for example, the minimum time unit for scheduling in wireless communication.
  • a base station performs scheduling to allocate radio resources (frequency bandwidth, transmission power, etc. that can be used by each user terminal) to each user terminal on a TTI basis.
  • radio resources frequency bandwidth, transmission power, etc. that can be used by each user terminal
  • the TTI may be a transmission time unit of a channel-coded data packet (transport block), a code block, a codeword, etc., or may be a processing unit of scheduling, link adaptation, etc. Note that when a TTI is given, the time interval (for example, the number of symbols) to which transport blocks, code blocks, code words, etc. are actually mapped may be shorter than the TTI.
  • one slot or one minislot is called a TTI
  • one or more TTIs may be the minimum time unit for scheduling.
  • the number of slots (minislot number) that constitutes the minimum time unit of the scheduling may be controlled.
  • a TTI having a time length of 1 ms may be called a normal TTI (TTI in 3GPP Rel. 8-12), normal TTI, long TTI, normal subframe, normal subframe, long subframe, slot, etc.
  • TTI TTI in 3GPP Rel. 8-12
  • normal TTI long TTI
  • normal subframe normal subframe
  • long subframe slot
  • TTI that is shorter than the normal TTI may be referred to as an abbreviated TTI, short TTI, partial or fractional TTI, shortened subframe, short subframe, minislot, subslot, slot, etc.
  • long TTI for example, normal TTI, subframe, etc.
  • short TTI for example, short TTI, etc. It may also be read as a TTI having the above TTI length.
  • a resource block is a resource allocation unit in the time domain and frequency domain, and may include one or more continuous subcarriers (subcarriers) in the frequency domain.
  • the number of subcarriers included in an RB may be the same regardless of the numerology, and may be 12, for example.
  • the number of subcarriers included in an RB may be determined based on numerology.
  • 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.
  • One TTI, one subframe, etc. may each be composed of one or more resource blocks.
  • one or more RBs include a physical resource block (Physical RB (PRB)), a sub-carrier group (SCG), a resource element group (REG), a PRB pair, and an RB. They may also be called pairs.
  • PRB Physical RB
  • SCG sub-carrier group
  • REG resource element group
  • PRB pair an RB. They may also be called pairs.
  • a resource block may be configured by one or more resource elements (REs).
  • REs resource elements
  • 1 RE may be a radio resource region of 1 subcarrier and 1 symbol.
  • Bandwidth Part (also called partial bandwidth, etc.) refers to a subset of consecutive common resource blocks (RB) for a certain numerology in a certain carrier.
  • the common RB may be specified by an RB index based on a common reference point of the carrier.
  • PRBs may be defined in a BWP and numbered within that BWP.
  • BWP may include UL BWP (BWP for UL) and DL BWP (BWP for DL).
  • BWP UL BWP
  • BWP for DL DL BWP
  • One or more BWPs may be configured within one carrier for a UE.
  • 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 of the active BWP.
  • “cell”, “carrier”, etc. in the present disclosure may be replaced with "BWP”.
  • the structures of the radio frame, subframe, slot, minislot, symbol, etc. described above are merely examples.
  • 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 symbols included in an RB The number of subcarriers, the number of symbols within a TTI, the symbol length, the cyclic prefix (CP) length, and other configurations can be changed in various ways.
  • radio resources may be indicated by a predetermined index.
  • data, instructions, commands, information, signals, bits, symbols, chips, etc. which may be referred to throughout the above description, may refer to voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, light fields or photons, or any of these. It may also be represented by a combination of
  • information, signals, etc. may be output from the upper layer to the lower layer and from the lower layer to at least one of the upper layer.
  • Information, signals, etc. may be input and output via multiple network nodes.
  • Input/output information, signals, etc. may be stored in a specific location (for example, memory) or may be managed using a management table. Information, signals, etc. that are input and output can be overwritten, updated, or added. The output information, signals, etc. may be deleted. The input information, signals, etc. may be transmitted to other devices.
  • Notification of information is not limited to the aspects/embodiments described in this disclosure, and may be performed using other methods.
  • the notification of information in this disclosure may be physical layer signaling (e.g., Downlink Control Information (DCI), Uplink Control Information (UCI)), upper layer signaling (e.g., Radio Resource Control (RRC) signaling, broadcast information (Master Information Block (MIB), System Information Block (SIB), etc.), Medium Access Control (MAC) signaling), other signals, or a combination thereof It may be carried out by physical layer signaling (e.g., Downlink Control Information (DCI), Uplink Control Information (UCI)), upper layer signaling (e.g., Radio Resource Control (RRC) signaling, broadcast information (Master Information Block (MIB), System Information Block (SIB), etc.), Medium Access Control (MAC) signaling), other signals, or a combination thereof It may be carried out by
  • the physical layer signaling may also be called Layer 1/Layer 2 (L1/L2) control information (L1/L2 control signal), L1 control information (L1 control signal), etc.
  • RRC signaling may be called an RRC message, and may be, for example, an RRC Connection Setup message, an RRC Connection Reconfiguration message, or the like.
  • MAC signaling may be notified using, for example, a MAC Control Element (CE).
  • CE MAC Control Element
  • notification of prescribed information is not limited to explicit notification, but may be made implicitly (for example, by not notifying the prescribed information or by providing other information) (by notification).
  • the determination may be made by a value expressed by 1 bit (0 or 1), or by a boolean value expressed by true or false. , may be performed by numerical comparison (for example, comparison with a predetermined value).
  • Software includes instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, whether referred to as software, firmware, middleware, microcode, hardware description language, or by any other name. , should be broadly construed to mean an application, software application, software package, routine, subroutine, object, executable, thread of execution, procedure, function, etc.
  • software, instructions, information, etc. may be sent and received via a transmission medium.
  • a transmission medium such as coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), etc.
  • wired technology such as coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), etc.
  • wireless technology such as infrared, microwave, etc.
  • Network may refer to devices (eg, base stations) included in the network.
  • precoding "precoding weight”
  • QCL quadsi-co-location
  • TCI state "Transmission Configuration Indication state
  • space space
  • spatial relation "spatial domain filter”
  • transmission power "phase rotation”
  • antenna port "antenna port group”
  • layer "number of layers”
  • Terms such as “rank”, “resource”, “resource set”, “resource group”, “beam”, “beam width”, “beam angle”, “antenna”, “antenna element”, and “panel” are interchangeable.
  • Base Station BS
  • Wireless base station Wireless 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,” and the like
  • a base station is sometimes referred to by terms such as macrocell, small cell, femtocell, and picocell.
  • a base station can accommodate one or more (eg, three) cells. If 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 is connected to a base station subsystem (e.g., an indoor small base station (Remote Radio Communication services can also be provided by the Head (RRH)).
  • a base station subsystem e.g., an indoor small base station (Remote Radio Communication services can also be provided by the Head (RRH)
  • RRH Remote Radio Communication services
  • the term “cell” or “sector” refers to part or all of the coverage area of a base station and/or base station subsystem that provides communication services in this coverage.
  • a base station transmitting information to a terminal may be interchanged with the base station instructing the terminal to control/operate based on the information.
  • MS Mobile Station
  • UE User Equipment
  • a mobile station is 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.
  • At least one of a base station and a mobile station may be called a transmitting device, a receiving device, a wireless communication device, etc.
  • a transmitting device may be called a transmitting device, a receiving device, a wireless communication device, etc.
  • the base station and the mobile station may be a device mounted on a moving object, the moving object itself, or the like.
  • the moving body refers to a movable object, and the moving speed is arbitrary, and naturally includes cases where the moving body is stopped.
  • the mobile objects include, for example, vehicles, transport vehicles, automobiles, motorcycles, bicycles, connected cars, excavators, bulldozers, wheel loaders, dump trucks, forklifts, trains, buses, carts, rickshaws, and ships (ships and other watercraft). , including, but not limited to, airplanes, rockets, artificial satellites, drones, multicopters, quadcopters, balloons, and items mounted thereon.
  • the mobile object may be a mobile object that autonomously travels based on a travel command.
  • the moving object may be a vehicle (for example, a car, an airplane, etc.), an unmanned moving object (for example, a drone, a self-driving car, etc.), or a robot (manned or unmanned). ).
  • a vehicle for example, a car, an airplane, etc.
  • an unmanned moving object for example, a drone, a self-driving car, etc.
  • a robot manned or unmanned.
  • at least one of the base station and the mobile station includes devices that do not necessarily move during communication operations.
  • at least one of the base station and the mobile station may be an Internet of Things (IoT) device such as a sensor.
  • IoT Internet of Things
  • FIG. 16 is a diagram illustrating 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, an axle 48, an electronic control unit 49, various sensors (current sensor 50, (including a rotation speed 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 section 59, and a communication module 60. Be prepared.
  • the drive unit 41 is composed of, for example, at least one of an engine, a motor, and a hybrid of an engine and a motor.
  • the steering unit 42 includes at least a steering wheel (also referred to as a steering wheel), 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 the user.
  • the electronic control unit 49 includes a microprocessor 61, a memory (ROM, RAM) 62, and a communication port (for example, an input/output (IO) port) 63. Signals from various sensors 50-58 provided in the vehicle are input to the electronic control unit 49.
  • the electronic control section 49 may be called an electronic control unit (ECU).
  • the signals from the various sensors 50 to 58 include a current signal from the current sensor 50 that senses the current of the motor, a rotation speed signal of the front wheel 46/rear wheel 47 obtained by the rotation speed sensor 51, and a signal obtained by the air pressure sensor 52.
  • air pressure signals of the front wheels 46/rear wheels 47 a vehicle speed signal acquired by the vehicle speed sensor 53, an acceleration signal acquired by the acceleration sensor 54, a depression amount signal of the accelerator pedal 43 acquired by the accelerator pedal sensor 55, and a brake pedal sensor.
  • 56 a shift lever 45 operation signal obtained by the shift lever sensor 57, and an object detection sensor 58 for detecting obstacles, vehicles, pedestrians, etc. There are signals etc.
  • the information service department 59 includes various devices such as car navigation systems, audio systems, speakers, displays, televisions, and radios that provide (output) various information such as driving information, traffic information, and entertainment information, and these devices. It consists of one or more ECUs that control the The information service unit 59 provides various information/services (for example, multimedia information/multimedia services) to the occupants of the vehicle 40 using information acquired from an external device via the communication module 60 or the like.
  • various information/services for example, multimedia information/multimedia services
  • the information service unit 59 may include an input device (for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, a touch panel, etc.) that accepts input from the outside, and an output device that performs output to the outside (for example, display, speaker, LED lamp, touch panel, etc.).
  • an input device for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, a touch panel, etc.
  • an output device that performs output to the outside (for example, display, speaker, LED lamp, touch panel, etc.).
  • the driving support system unit 64 includes millimeter wave radar, Light Detection and Ranging (LiDAR), a camera, a positioning locator (for example, Global Navigation Satellite System (GNSS), etc.), and map information (for example, High Definition (HD)). maps, autonomous vehicle (AV) maps, etc.), gyro systems (e.g., inertial measurement units (IMUs), inertial navigation systems (INS), etc.), artificial intelligence ( Artificial Intelligence (AI) chips, AI processors, and other devices that provide functions to prevent accidents and reduce the driver's driving burden, as well as one or more devices that control these devices. It consists of an ECU. Further, the driving support system section 64 transmits and receives various information via the communication module 60, and realizes a driving support function or an automatic driving function.
  • LiDAR Light Detection and Ranging
  • GNSS Global Navigation Satellite System
  • HD High Definition
  • maps for example, autonomous vehicle (AV) maps, etc.
  • gyro systems e.g.,
  • the communication module 60 can communicate with the microprocessor 61 and components of the vehicle 40 via the communication port 63.
  • the communication module 60 communicates via the communication port 63 with 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, which are included in the vehicle 40.
  • Data (information) is transmitted and received between the axle 48, the microprocessor 61 and memory (ROM, RAM) 62 in the electronic control unit 49, and various sensors 50-58.
  • 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 external devices. For example, various information is transmitted and received with an 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, user terminal 20, etc. described above.
  • the communication module 60 may be, for example, at least one of the base station 10 and the user terminal 20 described above (it may function as at least one of the base station 10 and the user terminal 20).
  • the communication module 60 receives signals from the various sensors 50 to 58 described above that are input to the electronic control unit 49, information obtained based on the signals, and input from the outside (user) obtained via the information service unit 59. At least one of the information based on the information may be transmitted to an external device via wireless communication.
  • the electronic control unit 49, various sensors 50-58, information service unit 59, etc. may be called an input unit that receives input.
  • the PUSCH transmitted by the communication module 60 may include information based on the above input.
  • the communication module 60 receives various information (traffic information, signal information, inter-vehicle information, etc.) transmitted from an external device, and displays it on the information service section 59 provided in the vehicle.
  • the information service unit 59 is an output unit that outputs information (for example, outputs information to devices such as a display and a speaker based on the PDSCH (or data/information decoded from the PDSCH) received by the communication module 60). may be called.
  • the communication module 60 also stores various information received from external devices into a memory 62 that can be used by the microprocessor 61. Based on the information stored in the memory 62, the microprocessor 61 controls the drive unit 41, steering unit 42, accelerator pedal 43, brake pedal 44, shift lever 45, left and right front wheels 46, and left and right rear wheels provided in the vehicle 40. 47, axle 48, various sensors 50-58, etc. may be controlled.
  • the base station in the present disclosure may be replaced by a user terminal.
  • communication between a base station and a user terminal is replaced with communication between multiple user terminals (for example, it may be called Device-to-Device (D2D), Vehicle-to-Everything (V2X), etc.).
  • D2D Device-to-Device
  • V2X Vehicle-to-Everything
  • each aspect/embodiment of the present disclosure may be applied.
  • the user terminal 20 may have the functions that the base station 10 described above has.
  • words such as "uplink” and “downlink” may be replaced with words corresponding to inter-terminal communication (for example, "sidelink”).
  • uplink channels, downlink channels, etc. may be replaced with sidelink channels.
  • the user terminal in the present disclosure may be replaced with a base station.
  • the base station 10 may have the functions that the user terminal 20 described above has.
  • the operations performed by the base station may be performed by its upper node in some cases.
  • 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 (e.g. It is clear that this can be performed by a Mobility Management Entity (MME), a Serving-Gateway (S-GW), etc. (though not limited thereto), or a combination thereof.
  • MME Mobility Management Entity
  • S-GW Serving-Gateway
  • Each aspect/embodiment described in this disclosure may be used alone, in combination, or may be switched and used in accordance with execution. Further, the order of the processing procedures, sequences, flowcharts, etc. of each aspect/embodiment described in this disclosure may be changed as long as there is no contradiction. For example, the methods described in this disclosure use an example order to present elements of the various steps and are not limited to the particular order presented.
  • LTE Long Term Evolution
  • LTE-A LTE-Advanced
  • LTE-B LTE-Beyond
  • SUPER 3G IMT-Advanced
  • 4G 4th generation mobile communication system
  • 5G 5th generation mobile communication system
  • 6G 6th generation mobile communication system
  • xG x is an integer or decimal number, for example
  • Future Radio Access FAA
  • RAT New-Radio Access Technology
  • NR New Radio
  • NX New Radio Access
  • FX Future Generation Radio Access
  • G Global System for Mobile Communications
  • CDMA2000 Ultra Mobile Broadband
  • UMB Ultra Mobile Broadband
  • IEEE 802 .11 Wi-Fi (registered trademark)
  • IEEE 802.16 WiMAX (registered trademark)
  • IEEE 802.20 Ultra-WideBand (UWB), Bluetooth (registered trademark), and other appropriate wireless communication methods.
  • the present invention may be applied to systems to be used, next-generation systems expanded, modified, created, or defined based on these
  • the phrase “based on” does not mean “based solely on” unless explicitly stated otherwise. In other words, the phrase “based on” means both “based only on” and “based at least on.”
  • any reference to elements using the designations "first,” “second,” etc. does not generally limit the amount or order of those elements. These designations may be used in this disclosure as a convenient way to distinguish between two or more elements. Thus, reference to a first and second element does not imply that only two elements may be employed or that the first element must precede the second element in any way.
  • determining may encompass a wide variety of actions. For example, “judgment” can mean judging, calculating, computing, processing, deriving, investigating, looking up, search, inquiry ( For example, searching in a table, database, or other data structure), ascertaining, etc. may be considered to be “determining.”
  • judgment (decision) includes receiving (e.g., receiving information), transmitting (e.g., sending information), input (input), output (output), access ( may be considered to be “determining”, such as accessing data in memory (eg, accessing data in memory).
  • judgment is considered to mean “judging” resolving, selecting, choosing, establishing, comparing, etc. Good too.
  • judgment (decision) may be considered to be “judgment (decision)” of some action.
  • the "maximum transmit power" described in this disclosure may mean the maximum value of transmit power, the nominal maximum transmit power (the nominal UE maximum transmit power), or the rated maximum transmit power (the It may also mean rated UE maximum transmit power).
  • connection refers to any connection or coupling, direct or indirect, between two or more elements.
  • the coupling or connection between elements may be physical, logical, or a combination thereof. For example, "connection” may be replaced with "access.”
  • microwave when two elements are connected, they may be connected using one or more electrical wires, cables, printed electrical connections, etc., as well as in the radio frequency domain, microwave can be considered to be “connected” or “coupled” to each other using electromagnetic energy having wavelengths in the light (both visible and invisible) range.
  • a and B are different may mean “A and B are different from each other.” Note that the term may also mean that "A and B are each different from C”. Terms such as “separate” and “coupled” may also be interpreted similarly to “different.”
  • words meaning "good”, “bad”, “large”, “small”, “high”, “low”, “early”, “slow”, etc. may be read interchangeably. (Not limited to original, comparative, and superlative).
  • words meaning "good”, “bad”, “large”, “small”, “high”, “low”, “early”, “slow”, etc. are replaced with “i-th”. They may be interchanged as expressions (not limited to the original, comparative, and superlative) (for example, “the highest” may be interchanged with “the i-th highest”).

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

Un terminal selon un aspect de la présente divulgation comprend : une unité de commande qui dérive un rapport d'informations d'état de canal (CSI) sur la base de bits qui sont délivrés par entrée, dans un codeur, d'informations d'entrée comprenant des informations relatives à une compression pour changer des paramètres ou des opérations du codeur ; et une unité de transmission qui transmet le rapport de CSI. L'aspect de la présente divulgation permet d'obtenir une réduction de surdébit, une estimation de canal et une utilisation de ressources appropriées.
PCT/JP2022/020245 2022-05-13 2022-05-13 Terminal, procédé de communication radio et station de base WO2023218650A1 (fr)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210266787A1 (en) * 2020-02-24 2021-08-26 Qualcomm Incorporated Compressed measurement feedback using an encoder neural network
WO2022067329A1 (fr) * 2020-09-25 2022-03-31 Qualcomm Incorporated Rapport de mise à jour de composante d'apprentissage automatique dans l'apprentissage fédéré

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210266787A1 (en) * 2020-02-24 2021-08-26 Qualcomm Incorporated Compressed measurement feedback using an encoder neural network
WO2022067329A1 (fr) * 2020-09-25 2022-03-31 Qualcomm Incorporated Rapport de mise à jour de composante d'apprentissage automatique dans l'apprentissage fédéré

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
PANASONIC: "Discussion on AI/ML for CSI feedback enhancement", 3GPP DRAFT; R1-2204659, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES ; F-06921 SOPHIA-ANTIPOLIS CEDEX ; FRANCE, vol. RAN WG1, no. e-Meeting; 20220509 - 20220520, 29 April 2022 (2022-04-29), Mobile Competence Centre ; 650, route des Lucioles ; F-06921 Sophia-Antipolis Cedex ; France, XP052153625 *
VIVO: "Other aspects on AI/ML for CSI feedback enhancement", 3GPP DRAFT; R1-2203551, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES ; F-06921 SOPHIA-ANTIPOLIS CEDEX ; FRANCE, vol. RAN WG1, no. e-Meeting; 20220509 - 20220520, 29 April 2022 (2022-04-29), Mobile Competence Centre ; 650, route des Lucioles ; F-06921 Sophia-Antipolis Cedex ; France, XP052153026 *

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