Terminal, wireless communication method, and base station

The terminal and base station implement a receiving and control unit for AI/ML-based positioning, providing clear configuration and inference for improved reporting of Channel Impulse Response, Power Delay Profile, and Delay Profile, thus enhancing communication throughput.

WO2025182475A1PCT designated stage Publication Date: 2025-09-04NTT DOCOMO INC
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Patent Information

Application Number
PCT/JP2025/003503
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-02-29
Filing Date
2025-02-04
Publication Date
2025-09-04

AI Technical Summary

Technical Problem

Existing wireless communication systems lack clear details on AI/ML-based positioning settings and reporting, leading to potential decreases in communication throughput due to inappropriate reporting.

Method used

A terminal and base station equipped with a receiving unit for configuration information and a control unit for model inference, enabling appropriate reporting of AI/ML-based positioning by measuring and reporting Channel Impulse Response, Power Delay Profile, and Delay Profile, with specific parameters and configurations for improved accuracy.

Benefits of technology

Enhances communication throughput by ensuring accurate and efficient reporting in AI/ML-based positioning, addressing the lack of clear settings and reducing overhead in existing systems.

✦ Generated by Eureka AI based on patent content.

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Abstract

A terminal according to one aspect of the present disclosure comprises: a reception unit that receives setting information relating to measurement of at least one of a channel impulse response (CIR), a power delay profile (PDP), and a delay profile (DP), the setting information including at least one parameter from among an additional path for artificial intelligence (AI)-based positioning and a relative time difference; and a control unit that applies model inference of the AI-based positioning and performs measurement on the basis of the setting information. According to one aspect of the present disclosure, it is possible to perform appropriate reporting relating to AI / ML-based positioning.
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Description

Terminal, wireless communication method and base station

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

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

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

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

[0005] In future wireless communication systems, artificial intelligence (AI)-based positioning is being considered, for example, a terminal (user terminal, User Equipment (UE)) measuring and reporting a channel impulse response (CIR), a power delay profile (PDP), and a delay profile (DP).

[0006] However, details regarding the settings and reporting content when using AI-based positioning have not been made clear, which may result in a decrease in communication throughput due to inappropriate reporting of AI / ML-based positioning.

[0007] Therefore, one of the objects of the present disclosure is to provide a terminal, a wireless communication method, and a base station that can make appropriate reports regarding AI / ML-based positioning.

[0008] A terminal according to one aspect of the present disclosure is characterized by having a receiving unit that receives configuration information related to measurement of at least one of Channel Impulse Response (CIR), Power Delay Profile (PDP), and Delay Profile (DP), the configuration information including at least one parameter of an additional path and a relative time difference for Artificial Intelligence (AI)-based positioning, and a control unit that applies model inference for AI-based positioning and performs measurements based on the configuration information.

[0009] According to one aspect of the present disclosure, appropriate reporting of AI / ML-based positioning can be performed.

[0010] FIG. 1 is a diagram illustrating an example of an AI model management framework. FIG. 2 is a diagram illustrating an example of processing using the AI ​​model. FIG. 3 is a diagram illustrating an example of an AI model. FIG. 4 is a diagram illustrating NR-DL-TDOA-RequestLocationInformation. FIG. 5 is a diagram illustrating CommonIEsRequestLocationInformation. FIG. 6 is a diagram illustrating NR-DL-TDOA-SignalMeasurementInformation. FIG. 7 is a diagram illustrating CommonIEsProvideLocationInformation. FIG. 8 is a diagram illustrating an information element (IE) NR-AdditionalPathList. FIG. 9 is a diagram illustrating report mapping for the value k=0. FIG. 10 is a diagram illustrating a first example of an information element (IE) NR-AdditionalPathList in Option 1. FIG. 11 is a diagram illustrating a second example of an information element (IE) NR-AdditionalPathList in Option 1. FIG. 12 is a diagram illustrating an example of an information element (IE) NR-AdditionalPathList in Option 2. FIG. 13 is a diagram illustrating an example of an information element (IE) NR-AdditionalPathList in Option 3. FIG. 14A is a diagram showing an example of an existing relative time difference and a new relative time difference in options 1 and 2. FIG. 14B is a diagram showing an example of an existing relative time difference and a new relative time difference in option 3. FIG. 15 is a diagram showing an example of a schematic configuration of a wireless communication system according to an embodiment. FIG. 16 is a diagram showing an example of a configuration of a base station according to an embodiment. FIG. 17 is a diagram showing an example of a configuration of a user terminal according to an embodiment. FIG. 18 is a diagram showing an example of the hardware configuration of a base station and a user terminal according to an embodiment. FIG. 19 is a diagram showing an example of a vehicle according to an embodiment.

[0011] (Application of Artificial Intelligence (AI) Technology to Wireless Communications) With regard to future wireless communications technologies, the use of AI technology such as machine learning (ML) for network / device control and management is being considered.

[0012] For example, for future wireless communication technologies, the use of AI techniques is being considered to improve channel state information (CSI) feedback (e.g., reduced overhead, improved accuracy, prediction), improve beam management (e.g., improved accuracy, prediction in the time / space domain), and improve positioning (e.g., improved position estimation / prediction).

[0013] 1 is a diagram illustrating an example of a framework for managing an AI model. In this example, each stage related to an AI model is shown as a block. This example is also referred to as lifecycle management of an AI model.

[0014] The data collection stage corresponds to a stage of collecting data for generating / updating an AI model. The data collection stage may include data organization (e.g., determining which data to transfer for model training / model inference), data transfer (e.g., transferring data to an entity (e.g., UE, gNB) that performs model training / model inference), etc.

[0015] In the model training stage, model training is performed based on the data (training data) transferred from the collection stage. This stage may include data preparation (e.g., performing data preprocessing, cleaning, formatting, transformation, etc.), model training / validation, model testing (e.g., verifying whether the trained model meets a performance threshold), model exchange (e.g., transferring the model for distributed learning), and model deployment / update (deploying / updating the model to the entity that will perform model inference).

[0016] In the model inference stage, model inference is performed based on the data (inference data) transferred from the collection stage. This stage may include data preparation (e.g., performing data preprocessing, cleaning, formatting, transformation, etc.), model inference, model performance feedback (feeding back model performance to the entity training the model), and output (providing model output to the actor).

[0017] An actor stage may include action triggers (e.g., deciding whether to trigger an action on another entity), feedback (e.g., feeding back information needed for training data / inference data / performance feedback), etc.

[0018] For example, training of a model for mobility optimization may be performed in, for example, Operation, Administration and Maintenance (Management) / gNodeB (gNB) in a network (NW). In the former case, interoperability, large-capacity storage, operator manageability, and model flexibility (feature engineering, etc.) are advantageous. In the latter case, the absence of latency in model updates and data exchange for model deployment is advantageous. Inference of the model may be performed in, for example, a gNB.

[0019] Also, depending on the use case, the entity that performs the training / inference may be different.

[0020] For example, for AI-assisted beam management based on measurement reports, the OAM / gNB may perform model training and the gNB may perform model inference.

[0021] For AI-assisted UE-assisted positioning, a Location Management Function (LMF) may perform model training and the LMF may perform model inference.

[0022] For CSI feedback / channel estimation using an autoencoder, the OAM / gNB / UE may perform model training and the gNB / UE may perform model inference (jointly).

[0023] For AI-assisted beam management or AI-assisted UE-based positioning based on beam measurements, the OAM / gNB / UE may perform model training and the UE may perform model inference.

[0024] In one embodiment of the present disclosure, a terminal (user equipment (UE)) / base station (BS) trains an ML model in a training mode and executes the ML model in an inference mode (also called an inference mode). In the inference mode, the accuracy of the ML model trained in the training mode may be validated.

[0025] In the present disclosure, the UE / BS may input channel state information, reference signal measurements, etc. to the ML model and output highly accurate channel state information / measurements / beam selection / position, future channel state information / radio link quality, etc.

[0026] In the present disclosure, AI may be interpreted as an object (also called a subject, object, data, function, program, etc.) that has (performs) at least one of the following characteristics: - Estimation based on observed or collected information; - Selection based on observed or collected information; - Prediction based on observed or collected information.

[0027] In the present disclosure, an object may be, for example, an apparatus, a device, etc., such as a terminal or a base station. Also, in the present disclosure, an object may correspond to a program / model / entity that operates in the apparatus.

[0028] Also, in the present disclosure, an ML model may be interpreted as an object having (implementing) at least one of the following characteristics: - Generating an estimate by feeding information; - Predicting an estimate by feeding information; - Discovering features by feeding information; - Selecting an action by feeding information.

[0029] In addition, in this disclosure, the terms ML model, model, AI model, predictive analytics, predictive analysis model, etc. may be interchangeable. The ML model may be derived using at least one of regression analysis (e.g., linear regression analysis, multiple regression analysis, logistic regression analysis), support vector machine, random forest, neural network, deep learning, etc. In this disclosure, the term model may be interchangeable with at least one of encoder, decoder, tool, etc.

[0030] The ML model outputs at least one piece of information, such as an estimate, a prediction, a selected action, or a classification, based on input information.

[0031] ML models may include supervised learning, unsupervised learning, and reinforcement learning. Supervised learning may be used to learn general rules that map inputs to outputs. Unsupervised learning may be used to learn features of data. Reinforcement learning may be used to learn behaviors to maximize a goal.

[0032] In the present disclosure, terms such as generate, calculate, derive, etc. may be interchangeable. In the present disclosure, terms such as implement, operate, operate, execute, etc. may be interchangeable. In the present disclosure, terms such as train, learn, update, retrain, etc. may be interchangeable. In the present disclosure, terms such as infer, after-training, live use, actual use, etc. may be interchangeable. Signal may be interchangeable with signal / channel.

[0033] In the present disclosure, the training mode may refer to a mode in which a UE / BS transmits / receives signals for an ML model (i.e., an operating mode during a training period). In the present disclosure, the inference mode may refer to a mode in which a UE / BS implements an ML model (e.g., implements a trained ML model to predict outputs) (i.e., an operating mode during an inference period).

[0034] In the present disclosure, training mode may refer to a mode in which a particular signal transmitted in inference mode is transmitted with a large overhead (e.g., a large amount of resources).

[0035] In the present disclosure, the training mode may refer to a mode that refers to a first configuration (e.g., a first DMRS configuration, a first CSI-RS configuration, or a first CSI reporting configuration). In the present disclosure, the inference mode may refer to a mode that refers to a second configuration (e.g., a second DMRS configuration, a second CSI-RS configuration, or a second CSI reporting configuration) that is different from the first configuration. The first configuration may be configured with at least one more time resource, frequency resource, code resource, or port (antenna port) related to measurement than the second configuration. Note that, for example, the CSI reporting configuration may include a configuration related to an autoencoder.

[0036] (AI Model) In the present disclosure, AI model information may refer to information including at least one of the following: - Input / output information of the AI ​​model; - Pre-processing / post-processing information for the input / output of the AI ​​model; - Parameter information of the AI ​​model; - Training information for the AI ​​model; - Inference information for the AI ​​model; - Performance information regarding the AI ​​model.

[0037] Here, the input / output information of the AI ​​model may include information on at least one of the following: - Contents of the input / output data (e.g., RSRP, SINR, amplitude / phase information in the channel matrix (or precoding matrix), information on the angle of arrival (Angle of Arrival (AoA)), information on the angle of departure (Angle of Departure (AoD)), location information); - Type of the input / output data (e.g., immutable value, floating-point number); - Quantization interval (quantization step size) of the input / output data (e.g., 1 dBm for L1-RSRP); - Range that the input / output data can take (e.g., [0, 1]).

[0038] In the present disclosure, the information on AoA may include information on at least one of an azimuth angle of arrival and a zenith angle of arrival (ZoA). The information on AoD may include information on at least one of an azimuth angle of departure and a zenith angle of departure (ZoD).

[0039] In the present disclosure, location information may be location information related to a UE / NW. The location information may include at least one of information (e.g., latitude, longitude, altitude) obtained using a positioning system (e.g., a satellite positioning system (Global Navigation Satellite System (GNSS), Global Positioning System (GPS), etc.)), information about a base station adjacent to (or serving) the UE (e.g., a base station / cell identifier (ID), a BS-UE distance, a direction / angle of the BS (UE) as seen from the UE (BS), coordinates of the BS (UE) as seen from the UE (BS) (e.g., coordinates on the X, Y, and Z axes), etc.), a specific address of the UE (e.g., an Internet Protocol (IP) address), etc. The location information of the UE is not limited to information based on the position of the BS, and may be information based on a specific point.

[0040] The location information may include information about its implementation (e.g., location / position / orientation of antennas, location / orientation of antenna panels, number of antennas, number of antenna panels, etc.).

[0041] The location information may include mobility information, which may include information indicating at least one of information indicating a mobility type, a moving speed of the UE, an acceleration of the UE, and a moving direction of the UE.

[0042] Here, the mobility type may correspond to at least one of a fixed location UE, a movable / moving UE, a no mobility UE, a low mobility UE, a middle mobility UE, a high mobility UE, a cell-edge UE, a not-cell-edge UE, etc.

[0043] The pre-processing / post-processing information for the input / output of the AI ​​model may include information on at least one of the following: - Whether to apply normalization (e.g., Z-score normalization (standardization), min-max normalization); - Parameters for normalization (e.g., mean / variance for Z-score normalization, min / max for min-max normalization); - Whether to apply a specific numerical conversion method (e.g., one hot encoding, label encoding, etc.); - Selection rules for whether to use as training data.

[0044] FIG. 2 is a diagram showing an example of processing using an AI model. For example, Z-score normalization (x) is performed as preprocessing for input information x (original input values). new = (x - μ) / σ, where μ is the mean of x and σ is the standard deviation) new (Normalized input values) may be input to the AI ​​model, and the output y out The output values ​​may be post-processed to obtain the final output y (post-processed output values).

[0045] The information on the parameters of the AI ​​model may include information on at least one of the following: - Information on weights in the AI ​​model (e.g., neuron coefficients (connection coefficients)); - Structure of the AI ​​model; - Type of the AI ​​model as a model component (e.g., Residual Network (ResNet), DenseNet, RefineNet, Transformer model, CRBlock, Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU)); - Function of the AI ​​model as a model component (e.g., decoder, encoder).

[0046] In addition, the weight information in the above AI model may include information on at least one of the following: - Bit width (size) of the weight information; - Quantization interval of the weight information; - Range that the weight information can take; - Weight parameters in the AI ​​model; - Information on the difference from the AI ​​model before update (if updating); - Weight initialization method (e.g., zero initialization, random initialization (based on normal distribution / uniform distribution / truncated normal distribution), Xavier initialization (for sigmoid function), He initialization (for rectified linear units (ReLU))).

[0047] The structure of the AI ​​model may also include information about at least one of the following: number of layers, type of layer (e.g., convolutional layer, activation layer, dense layer, normalization layer, pooling layer, attention layer), layer information, time series specific parameters (e.g., bidirectionality, time step), parameters for training (e.g., type of function (L2 regularization, dropout function, etc.), where (e.g., after which layer) to place this function).

[0048] The layer information may include information about at least one of the following: the number of neurons in each layer, the kernel size, the stride for pooling / convolutional layers, the pooling method (MaxPooling, AveragePooling, etc.), the residual block information, the number of heads, the normalization method (Batch normalization, instance normalization, layer normalization, etc.), the activation function (Sigmoid, tanh function, ReLU, leaky ReLU information, Maxout, Softmax).

[0049] FIG. 3 is a diagram illustrating an example of an AI model. This example illustrates an AI model including a ResNet model component #1, a Transformer model component #2, a dense layer, and a normalization layer. In this manner, one AI model may be included as a component of another AI model. Note that FIG. 3 may also illustrate an AI model in which processing proceeds from left to right.

[0050] The training information for the AI ​​model may include information about at least one of the following: - Information for the optimization algorithm (e.g., type of optimization (Stochastic Gradient Descent (SGD)), AdaGrad, Adam, etc.), parameters of the optimization (learning rate, momentum information, etc.); - Information on the loss function (e.g., information on metrics of the loss function (Mean Absolute Error (MAE)), Mean Square Error (MSE), Cross Entropy Loss, NLL Loss, KL Divergence, etc.)); - Parameters to be frozen for training (e.g., layers, weights); - Parameters to be updated (e.g., layers, weights); - Parameters to be (used as) initial parameters for training (e.g., layers, weights); - Method of training / updating the AI ​​model (e.g., (recommended) number of epochs, batch size, number of data to use for training).

[0051] The inference information for the AI ​​model may include information regarding decision tree branch pruning, parameter quantization, etc.

[0052] The performance information about the AI ​​model may include information about the expected value of a loss function defined for the AI ​​model.

[0053] AI model information regarding a specific AI model may be predetermined in a standard or may be notified to a UE from a network (NW). An AI model defined in a standard may be referred to as a reference AI model. AI model information regarding a reference AI model may be referred to as reference AI model information.

[0054] Note that the AI ​​model information in the present disclosure may include an index for identifying the AI ​​model (which may be referred to as an AI model index, for example). The AI ​​model information in the present disclosure may include the AI ​​model index in addition to / instead of the input / output information of the AI ​​model described above. The association between the AI ​​model index and the AI ​​model information (for example, input / output information of the AI ​​model) may be predetermined in a standard or may be notified to the UE from the NW.

[0055] (Various measurements by the UE) UE measurement capabilities related to New Radio Radio Access Technology (NR RAT) dependent positioning include the following: SS / CSI-RSRP / RSRQ. SS / CSI-SINR. SRS-RSRP. Cross Link Interference (CLI)-Received Signal Strength Indicator (RSSI). RSSI. DL PRS-RSRP. DL Reference signal time difference (RSTD). UE reception-transmission time difference (Rx-Tx time difference). DL PRS-reference signal received path power (RSRPP).

[0056] Phase-related DL / UL measurements are specified in Rel. 18 NR positioning and are considered as possible inference input or output intermediate values ​​for AI-based positioning. For example, DL RSCP, DL RSCPD, and UL RSCP are specified as follows:

[0057] <Downlink reference signal carrier phase (DL RSCP)> The DL RSCP of the i-th path is defined as the phase of the channel response at the i-th path delay obtained from the resource element carrying the DL PRS configured for measurement. The DL RSCP is associated with the center frequency of the DL positioning frequency layer (PFL) configured for measurement. For Frequency range 1 (FR1), the reference point for the DL RSCP is the UE antenna connector. For Frequency range 2 (FR2), the reference point for the DL RSCP is the UE antenna. The DL RSCP is applicable in the RRC connected state (RRC_CONNECTED), RRC inactive (RRC_INACTIVE), or RRC idle (RRC_IDLE).

[0058] <Downlink reference signal carrier phase difference (DL RSCPD)> RSCPD is defined as the difference between the DL RSCP from transmission point (TP) j and the DL RSCP from reference TP i, measured from the DL PRS transmitted in the DL PFL. If the UE reports RSCPD measurements along with RSTD measurements in the measurement report element, the reference TP for RSCPD is the same as the reference TP reported for RSTD. For Frequency range 1 (FR1), the reference point for DL ​​RSCPD is the UE's antenna connector. For Frequency range 2 (FR2), the reference point for DL ​​RSCPD is the UE's antenna. DL RSCPD is applicable in the RRC connected, inactive, or idle states.

[0059] <Uplink reference signal carrier phase (UL RSCP)> The UL RSCP of the i-th path is defined as the phase of the channel response at the i-th path delay obtained from the resource element transmitting the sounding reference signal (SRS) configured for measurement. The UL RSCP is related to the center frequency of the transmission bandwidth of the positioning SRS configured for measurement.

[0060] The reference point for the UL RSCP shall be: - for Type 1-C Base Station, the connector of the receive antenna; - for Type 1-O or 2-O Base Station, the receive antenna (i.e. the center position of the radiation area of ​​the receive antenna); - for Type 1-H Base Station, the receive Transceiver Array Boundary connector.

[0061] <Information Elements for Positioning> Figure 4 shows NR-DL-TDOA-RequestLocationInformation. NR-DL-TDOA-RequestLocationInformation is used by a location server to request NR Downlink Time Difference Of Arrival (DL TDOA) positioning measurements from a target device. For example, NR-DL-TDOA-RequestLocationInformation is used when a Location Management Function (LMF) requests a UE to perform positioning measurements using different positioning methods. For example, the parameters in NR-DL-TDOA-RequestLocationInformation-r16 in Figure 4 are used when the LMF requests a UE to perform measurements (positioning).

[0062] Figure 5 is a diagram showing CommonIEsRequestLocationInformation. CommonIEsRequestLocationInformation carries a common information element (IE) of the location information request LTE Positioning Protocol (LPP) message type. CommonIEsRequestLocationInformation is used by the LMF to request common information related to location estimation from the UE. For example, the parameters within the dotted line in Figure 5 are common information that the LMF requests from the UE regardless of the positioning method.

[0063] Figure 6 shows NR-DL-TDOA-SignalMeasurementInformation. NR-DL-TDOA-SignalMeasurementInformation is used by a target device to provide NR DL TDOA measurements to a location server. For example, NR-DL-TDOA-SignalMeasurementInformation is used by a UE to provide location measurements for different positioning methods to an LMF. The parameters within the dotted line in Figure 6 are used to report DL TDOA measurements from the UE to the LMF.

[0064] 7 is a diagram showing CommonIEsProvideLocationInformation. CommonIEsProvideLocationInformation carries a common information element (IE) of the Provide Location Information LPP message type. CommonIEsProvideLocationInformation is used, for example, by a UE to provide common information related to location estimation to an LMF.

[0065] (Input Information Source for Model Inference) Input information for model inference may include at least one of the following information (1) and (2).

[0066] (1) Information about UE measurements. This information may include channel information measured by the UE (e.g., channel impulse response (CIR)), channel feedback report (CFR), power delay profile (PDP)), etc.). In addition, this information may include UE measurements of PRS. This information about UE measurements may be transmitted from the UE to the LMF via higher layer signaling.

[0067] (2) Information regarding indications from the NW (gNB / LMF). The UE may receive this information from the NW via higher layer signaling / physical layer signaling. Note that for virtual location prediction using the AI / ML model, a large amount of information regarding UE measurements (e.g., RSTD / Rx-Tx time difference / ToA, etc.) may be applied as model input. These input information may be generated / instructed by the NW, unlike UE measurements. This allows information generated / instructed on the NW side instead of UE measurements to be used as model input (e.g., for training). In other words, it is possible to reduce UE measurements and suppress UE load.

[0068] (Channel Impulse Response (CIR)) CIR may refer to parameters indicating coefficients (e.g., amplitude / phase) for each time-domain sample / antenna port. The impulse response of a wireless propagation channel is composed of multipath components, and its local average time and angular characteristics are obtained from large-scale and small-scale parameters.

[0069] The large-scale parameters typically refer to azimuth spread (AS), root-mean-square (RMS) delay spread, shadow fading (SF), and Rician K-factor, but need to be extended to include zenith (i.e., elevation) spread as well, due to the expected azimuth and elevation directivity in future millimeter wave (mmWave) systems with multiple antenna arrays.

[0070] Small-scale parameters refer to the characteristics of a single multipath component, such as path delay and angles of arrival and departure.

[0071] CIR / PDP Report When the UE sends a CIR / PDP report, at least one of the following options may be applied:

[0072] Option 1: The UE may directly transmit the CIR / PDP components of multiple paths for each measurement time instance.

[0073] Option 2: The UE may report the difference value of the information in the CIR / PDP elements. In this case, for example, Option 2-1 / 2-2 may be applied.

[0074] Option 2-1: The UE may report information in the CIR / PDP element of the reference antenna port at each measurement time instance, and a difference value between the information in the CIR / PDP element of the reference antenna port at each measurement time instance and the information in the CIR / PDP element of each antenna port. The reference antenna port may be predefined (e.g., the first arriving path) or may be based on the UE implementation.

[0075] <<Option 2-2>> The UE may transmit information in the CIR / PDP elements of multiple antenna ports at a reference measurement time, and a difference value between the information in the CIR / PDP elements of multiple antenna ports for the reference measurement time and the information in the CIR / PDP elements at each measurement time. The reference measurement time may be predefined, configured by the network, or configured by the UE implementation.

[0076] <<Option 2-3>> The UE may report information in the CIR / PDP elements of the reference antenna port at the reference measurement time, and a difference value between information for each path at each measurement time related to the reference antenna port and the reference measurement time and information in the CIR / PDP elements at each measurement time and each reference antenna port. In Option 2-3, the reference path / reference measurement time may be the same as in Option 2-1 / 2-2.

[0077] In Option 2-1 / 2-2 / 2-3, the antenna port / measurement time may be replaced with the subband / angle / delay time. In Option 2-1 / 2-2 / 2-3, the UE reports differential values ​​instead of absolute values, which can reduce signal overhead.

[0078] (Application of model inference to AI-based positioning) The UE / gNB receives configuration / instruction information regarding measurement of Channel Impulse Response (CIR) / Power Delay Profile (PDP) / Delay Profile (DP), applies model inference for AI-based positioning, and may transmit measurement results to the LMF based on the received configuration / instruction information. Details of the transmission content will be described later (1-1, 1-2).

[0079] The UE / gNB may measure the CIR / PDP / DP, apply model inference for AI / ML-based positioning, and transmit the measurement results (or output results of the AI ​​model) to the LMF. For example, the UE / gNB may use at least one of the following information A to C as input information x (original input values) in FIG. 2, and transmit a final output y (post-processed output values) to the LMF:

[0080] <1-1> The UE may measure the CIR / PDP / DP, apply model inference for AI / ML-based positioning, and send the measurement results (or the output results of the AI ​​model) to the LMF.

[0081] The CIR can be represented by a measurement report containing timing, power, and phase information of the channel response. The CIR report (measurement result) may include at least one of types A (timing information), B (power information), and C (phase information), which will be described later.

[0082] The PDP can be represented by a measurement report containing timing and power information of the channel response. The report (measurement result) on the PDP may include at least one of type A (timing information) and type B (power information) information as described below.

[0083] The DP can be represented by a measurement report containing timing information of the channel response. The report (measurement result) on the DP may contain at least one piece of information of type A (timing information).

[0084] (A) Timing Information DL RSTD measurement value. UE receive-transmit time difference measurement value. UE receive Timing Error Group (TEG) ID for DL ​​RSTD measurement. UE receive TEG ID, UE transmit TEG ID, UE receive / transmit TEG IDs related to UE receive-transmit time difference measurement. Arrival time information of DL PRS. Relative arrival time information of DL PRS.

[0085] (B) Power Information: DL-PRS-RSRP measurement value, DL-PRS-RSRPPP measurement value, SS-RSRP / RSRQ, CSI-RSRP / RSRQ, SS / CSI-SINR, RSSI.

[0086] (C) Phase information DL-PRS receive beam index, arrival / departure angle (azimuth / elevation), DL reference signal carrier phase, DL reference signal carrier phase difference.

[0087] The UE may report the above information A to C for each path / sample / time instance / antenna port / subband / angle.

[0088] <1-2> The base station (gNB) may measure the CIR / PDP / DP, apply model inference for AI / ML-based positioning, and transmit the measurement results (output results of the AI ​​model) to the LMF. The CIR may include at least one of the following types A (timing information), B (power information), and C (phase information), the PDP may include at least one of the types A (timing information) and B (power information) described below, and the DP may include at least one of type A (timing information).

[0089] (A) Timing information UL-Relative Time of Arrival (RTOA) gNB reception-transmission time difference measurement Timing advance UL SRS arrival time information

[0090] (B) Power information ・UL-SRS-RSRP. ・UL-SRS-RSRPP. ・SS-RSRP / RSRQ. ・CSI-RSRP / RSRQ. ・RSSI. ・SINR.

[0091] (C) Phase Information Spatial direction information of DL-PRS resources UL AoA (azimuth angle / elevation angle) Multiple UL AoA (azimuth angle / elevation angle) Measurement beam information UL reference signal carrier phase.

[0092] The UE may report the above information A to C for each path / sample / time instance / measurement / antenna port / subband / angle.

[0093] (Additional Paths) Figure 8 shows the information element (IE) NR-AdditionalPathList. The information element (IE) NR-AdditionalPathList is used by the target device to provide information about additional paths associated with NR positioning-related Time of Arrival (TOA) measurements in the form of relative time differences and quality values. The additional path nr-RelativeTimeDifference is the timing of the detected path relative to the timing of the detected path used for the TOA value, and each additional path can be associated with a quality value nr-PathQuality.

[0094] For example, the reporting range for additional pathway reporting of RSTD measurements is 2 k ×T c Resolution step: -8175×T c From 8175 x T c is defined to the extent that

[0095] A UE can report the timing of up to two additional paths with respect to the timing of the path for which RSTD measurements are determined. A UE that supports the UE capability for additional paths (additionalPathsExtSupport-r17) can report the timing of as many additional paths as the UE capability with respect to the timing of the path for which RSTD measurements are determined. The report mapping for different k=0 values ​​is specified as in Figure 9.

[0096] (Sampling Period) A new sampling period is being considered for AI positioning. Since the existing report format cannot report at the fine time granularity required for AI positioning, it is preferable to define a new report format. Since the reporting granularity becomes finer, the overhead will increase unless an appropriate report format is defined. For example, the maximum granularity for evaluation is 8.14 nanoseconds.

[0097] For example, the sampling period for 16 sources is considered as follows: Sampling period = 1 / (N f ×△f). In the case of FR1, the sampling period = 1 / (4096 × 30) = 8.14 (ns), where N f is 4096, and Δf is the subcarrier spacing of 30 kHz.

[0098] When one source is used, the sampling period is considered to be 4.069 ns.

[0099] (Analysis) As described above, artificial intelligence (AI)-based positioning is being considered for future wireless communication systems. For example, it is being considered that a terminal (user terminal, User Equipment (UE)) measures and reports a channel impulse response (CIR), a power delay profile (PDP), and a delay profile (DP).

[0100] However, details regarding the settings and reporting content when using AI-based positioning have not been made clear, which may result in a decrease in communication throughput due to inappropriate reporting of AI / ML-based positioning.

[0101] For example, for time domain information, the UE can investigate both sample-based and path-based measurements. Sample-based measurements may have high measurement granularity but have high overhead. Path-based measurements, on the other hand, can reuse the current RSRP / RSRPP reporting format and have low overhead. Sample-based measurements may have significantly larger overhead sizes than path-based measurements. Therefore, it is preferable to consider a new configuration / report format for sample-based measurements.

[0102] Therefore, the present inventors have conceived a method that can provide appropriate reporting regarding AI / ML-based positioning.

[0103] (Various Reinterpretations) In the present disclosure, a word enclosed in "( )" in a sentence may indicate an explanation of the word immediately preceding it (for example, an explanation of spelling), a paraphrase, a specific example, a supplementary explanation, etc. Furthermore, in the present disclosure, a word enclosed in "[ ]" in a sentence may be interpreted including the word in the meaning of the entire sentence, or may be interpreted excluding (ignoring) the word in the meaning of the entire sentence. Note that "( )" and "[ ]" may also be used for purposes / meanings other than those mentioned above.

[0104] In the present disclosure, "A / B" and "at least one of A and B" may be interpreted interchangeably. Also, in the present disclosure, "A / B / C" may mean "at least one of A, B, and C."

[0105] In the present disclosure, terms such as notify, activate, deactivate, indicate (or indicate), select, configure, update, and determine may be read interchangeably. In the present disclosure, terms such as support, control, controllable, operate, and operate may be read interchangeably.

[0106] In the present disclosure, Radio Resource Control (RRC), RRC parameters, RRC messages, higher layer parameters, fields, information elements (IEs), settings, etc. may be interchangeable. In the present disclosure, Medium Access Control (MAC) control elements (CEs), update commands, activation / deactivation commands, etc. may be interchangeable.

[0107] In the present disclosure, the higher layer signaling may be, for example, any one of Radio Resource Control (RRC) signaling, Medium Access Control (MAC) signaling, broadcast information, other messages (e.g., messages from the core network such as positioning protocol (e.g., NR Positioning Protocol A (NRPPa) / LTE Positioning Protocol (LPP)) messages), or a combination thereof.

[0108] In the present disclosure, MAC signaling may use, for example, a MAC Control Element (MAC CE), a MAC Protocol Data Unit (PDU), etc. Broadcast information may be, for example, a Master Information Block (MIB), a System Information Block (SIB), Remaining Minimum System Information (RMSI), Other System Information (OSI), etc.

[0109] In the present disclosure, physical layer signaling may be, for example, Downlink Control Information (DCI), Uplink Control Information (UCI), and the like.

[0110] In the present disclosure, estimation, prediction, and inference may be used interchangeably. Also, in the present disclosure, estimate, predict, and infer may be used interchangeably.

[0111] In the present disclosure, positioning may be interchangeably read as position determination, position estimation, position prediction, etc. In the present disclosure, KPI (Key Performance Indicator) and performance metrics may be interchangeably read as KPI (Key Performance Indicator) and performance metrics (Performance Metrics Calculation), model monitoring, and performance monitoring may be interchangeably read as KPI (Key Performance Indicator), model monitoring, and performance monitoring.

[0112] In the following embodiments, to explain the AI ​​model for communication between UEs, gNBs, and LMFs, the relevant entities are UEs, gNBs, and LMFs, but the application of each embodiment of the present disclosure is not limited to this. For example, for communication between different entities (e.g., communication between UEs), the UEs, gNBs, and LMFs in the following embodiments may be replaced with a first UE, a second UE, a third UE, and so on. In other words, the UEs, gNBs, and LMFs of the present disclosure may all be replaced with any UE, gNB, or LMF. Furthermore, the NWs, base stations (BSs), gNBs, LMFs, and TRPs may be replaced with each other.

[0113] In the present disclosure, the antenna port, subband, angle, and delay may be interchangeable. In the present disclosure, the NW, base station, gNB, and LMF may be interchangeable. The LMF may be interchangeable with a device (such as a server) that implements the LMF.

[0114] In the present disclosure, the terms encoder, encoding, encode / encoded, modification / alteration / control by an encoder, compressing, compress / compressed, generating, generate / generated, etc. may be read interchangeably.

[0115] In the present disclosure, timing, time, duration, time instance, slot, subslot, symbol, subframe, etc. may be read interchangeably.

[0116] In the present disclosure, sample-based and sample-by-sample may be interchangeable. Sample and sampling may be interchangeable. Path-based and path-by-path may be interchangeable. Positioning, measurement, and reporting may be interchangeable. In the present disclosure, information element (IE) and parameter may be interchangeable.

[0117] (Wireless communication method) A UE may receive configuration information related to measurements of at least one of a Channel Impulse Response (CIR), a Power Delay Profile (PDP), and a Delay Profile (DP), the configuration information including at least one parameter of an additional path and a relative time difference for Artificial Intelligence (AI)-based positioning, apply model inference for the AI-based positioning, perform measurements based on the configuration information, and transmit the measurement results to a Location Management Function (LMF).

[0118] The present disclosure may be applicable to all LCM procedures (e.g., model inference, performance monitoring, model training, model updating, etc.) where CIR / PDP / DP or related timing / power / phase information is required.

[0119] <Embodiment 0> A new IE for reporting sample-based measurements will be described. UE / gNB can report timing related to CIR / PDP / DP, etc. The new IE may include at least one of the following optional parameters. For application of each option, it may be switched / set by RRC / MAC CE / DCI / LPP message / NRPPa message. The new IE / parameter (e.g., parameters for Rel. 19 (XXXXX-r19)) may be parameters for AI-based positioning.

[0120] Option 1: Rel. 19-specific additional path / relative time difference parameters (NR-AdditionalPath / nr-RelativeTimeDifference). This method is the simplest, but the actual values ​​used and the reserved values ​​may be set depending on the reported size / granularity.

[0121] Option 2: A new k value for the current relative time difference parameter (nr-RelativeTimeDiffence). In this case, no bits are wasted and the impact on the specification is minimal.

[0122] Option 3: Separate IEs may be configured to indicate more detailed values. For example, the parameters for additional path / relative time difference may be configured separately. In this case, it is possible to reuse the current NR-AdditionalPath / nr-RelativeTimeDifference as much as possible.

[0123] The timing information may be paired with the power / phase information. For example, at least one of the following options 1 and 2 may be applied:

[0124] Option 1: Timing information, power / phase information may be reported simultaneously (e.g., in NR-DL-TDOA-SignalMeasurementInformation / NR-AdditionalPathList).

[0125] Option 2: Timing information, power / phase information is associated by flags / indicators / etc.

[0126] The UE may receive at least one of the following instructions / configurations from the NW (e.g., gNB, LMF): Whether the measurement is to be used for AI / ML-based positioning. Sample-based or path-based measurement.

[0127] All or part of the information included in the new IE (e.g., sampling period / number of samples / reference time) may be configured by the NW or requested by the UE.

[0128] <<Example of New IE>> Figure 10 is a diagram showing a first example of the information element (IE) NR-AdditionalPathList in Option 1. Dotted lines indicate differences from the existing IE (Figure 8). In Figure 10, a parameter (nr-RelativeTimeDifference-r19) for the relative time difference exclusive to Rel. 19 has been added. As with the existing parameter, different values ​​may be set for each value of k as the relative time difference.

[0129] Figure 11 is a diagram showing a second example of the information element (IE) NR-AdditionalPathList in Option 1. Dotted lines indicate differences from the existing IE (Figure 8). In Figure 11, a parameter for the relative time difference (nr-RelativeTimeDifference-r19) dedicated to Rel. 19 has been added to the parameter for the additional path (NR-AdditionalPath-r19) dedicated to Rel. 19. As with the existing parameters, different values ​​may be set for each value of k as the additional path. Note that although NR-AdditionalPath-r16 has been deleted, NR-AdditionalPath-r16 may also be included, as in Figure 8.

[0130] Figure 12 is a diagram showing an example of the information element (IE) NR-AdditionalPathList in Option 2. The dotted lines indicate differences from the existing IE (Figure 8). In Figure 12, a relative time difference corresponding to a new k value dedicated to Rel. 19 has been added as a parameter for the relative time difference (nr-RelativeTimeDifference). In Figure 12, a relative time difference of k=6 has been added, but relative time differences of other k values ​​may also be added.

[0131] Figure 13 shows an example of the information element (IE) NR-AdditionalPathList in Option 3. The dotted lines indicate differences from the existing IE (Figure 8). In Figure 13, a parameter for the relative time difference (nr-RelativeTimeDifferenceExt-r19) specific to Rel. 19 has been added. The IE in Figure 13 is similar to that in Figure 10, but the granularity of the relative time difference is different (see Figure 14B, described below).

[0132] Fig. 14A is a diagram showing examples of the existing relative time difference and the new relative time difference in Options 1 and 2. In Fig. 14A, the total time (time range) of the existing relative time difference (nr-RelativeTimeDifference-r16) and the new relative time difference (nr-RelativeTimeDifference-r19) is the same, but the granularity is different.

[0133] Fig. 14B is a diagram showing an example of an existing relative time difference and a new relative time difference in Option 3. In Fig. 14B, a finer-grained relative time difference (nr-RelativeTimeDifference-r19) is defined within the time of one (or more) of the existing relative time differences (nr-RelativeTimeDifference-r16).

[0134] <First embodiment> A UE may receive a first setting / instruction (e.g., a sampling period) indicating the granularity of sample-based measurement / reporting from a NW (e.g., a gNB, an LMF), and may perform sample-based measurement / reporting using a granularity coarser than the first setting / instruction. The UE may receive a second setting / instruction with a coarser granularity from the NW, or may determine the coarse granularity without receiving the second setting / instruction. The granularity may be a time / frequency granularity corresponding to the positioning / measurement / reporting.

[0135] The measurement granularity and the reporting granularity may be separated (different). The UE may be instructed by the NW (e.g., gNB, LMF) to perform sample-based measurements using either a sampling period (FFT size) or a relaxed (coarse) granularity. For example, if the sampling Fast Fourier Transform (FFT) size is 4096 and the Subcarrier Spacing (SCS) is 30 kHz, the UE may apply a reporting granularity corresponding to an FFT size of 2048 and an SCS of 15 kHz.

[0136] The UE may receive a setting / instruction of the measurement / report granularity from the NW (gNB, LMF, etc.). The UE may report rounded measurement results according to the required accuracy conditions, or the UE may be instructed by the NW (gNB, LMF, etc.). The measurement results may be rounded, for example, by one of the following options: The rounding method may be reported by the UE or instructed to be reported by the NW.

[0137] Option 1: Round down. Option 2: Round up. Option 3: To the nearest slot / System Frame Number (SFN) / symbol / other timing.

[0138] <Second embodiment> The UE may receive a setting / instruction from a NW (gNB, LMF, etc.) to report a difference value from other measurement / report values ​​(for example, measurement / report values ​​at specific timings) as a measurement result, and transmit (report) the difference value from other measurement / report values. This makes it possible to reduce overhead while maintaining the reporting granularity (i.e., positioning accuracy).

[0139] The other measurement value may be, for example, one of the following options: Option 1: Previous measurement / reported value. Option 2: Measurement value at the closest SFN / slot / symbol, etc. In this case, the UE may report not only the difference value but also the measurement value at the closest SFN / slot / symbol, etc. Option 3: Measurement value at a reference SFN / slot / symbol, etc. Option 4: Difference value from a configured / instructed value Option 5: Average value of the measurement / reported value within a predetermined period.

[0140] <Supplementary Information> <<Notification of Information to UE>> In the above-described embodiments, notification of any information to the UE [from a Network (NW) (e.g., a Base Station (BS))] (in other words, reception of any information from the BS by the UE) may be performed using physical layer signaling (e.g., DCI), higher layer signaling (e.g., RRC signaling, MAC CE), a specific signal / channel (e.g., PDCCH, PDSCH, reference signal), or a combination thereof.

[0141] When the notification is performed by a MAC CE, the MAC CE may be identified by including a new Logical Channel ID (LCID) in the MAC subheader, which is not defined in existing standards.

[0142] When the notification is made by DCI, the notification may be made by a specific field of the DCI, a Radio Network Temporary Identifier (RNTI) used to scramble Cyclic Redundancy Check (CRC) bits assigned to the DCI, the format of the DCI, etc.

[0143] Furthermore, notification of any information to the UE in the above embodiments may be performed periodically, semi-persistently, or aperiodically.

[0144] <<Notification of Information from UE>> In the above-described embodiments, notification of any information from the UE [to the NW] (in other words, transmission / report of any information from the UE to the BS) may be performed using physical layer signaling (e.g., UCI), higher layer signaling (e.g., RRC signaling, MAC CE), a specific signal / channel (e.g., PUCCH, PUSCH, PRACH, reference signal), or a combination thereof.

[0145] When the notification is performed by a MAC CE, the MAC CE may be identified by including a new LCID, which is not defined in existing standards, in the MAC subheader.

[0146] If the notification is made by UCI, the notification may be transmitted using PUCCH or PUSCH.

[0147] Furthermore, any information in the above-described embodiments may be notified from the UE periodically, semi-persistently, or aperiodically.

[0148] <<Regarding Application of Each Embodiment>> In a UE / BS, specific (one or more) processes / operations / controls / assumptions / information for at least one of the above-mentioned embodiments may be applied (used) when one or more of the following conditions are met: - a higher layer parameter indicating the specific processes / operations / controls / assumptions / information is configured; - the specific processes / operations / controls / assumptions / information is determined based on related higher layer parameters; - the specific processes / operations / controls / assumptions / information is specified / activated / triggered by a MAC CE / DCI / UCI / resource / channel / RS; - a specific UE capability indicating (or related to) the specific processes / operations / controls / assumptions / information is reported or supported; - the application of the specific processes / operations / controls / assumptions / information is determined based on specific conditions.

[0149] The specific UE capability may indicate at least one of the following: - Supporting the specific processing / operation / control / assumption / information (e.g., ...); - Supporting AI-based positioning (model inference for AI-based positioning); - Supporting sample-based AI-based positioning (model inference for AI-based positioning); - Supported measurement / reporting content (e.g., CIR / PDP / DP, at least one of the above types A (timing information), B (power information), and C (phase information)); - Supported additional paths / relative time differences; - Supported granularity of sample-based measurement / reporting.

[0150] Furthermore, the above-mentioned specific UE capability may be a capability that is applied across all frequencies (commonly regardless of frequency), or may be a capability for each frequency (e.g., one or a combination of a cell, a band, a band combination, a BWP, a component carrier, etc.), or may be a capability for each frequency range (e.g., Frequency Range 1 (FR1), FR2, FR3, FR4, FR5, FR2-1, FR2-2), or may be a capability for each subcarrier spacing (SubCarrier Spacing (SCS)), or may be a capability for each Feature Set (FS) or Feature Set Per Component-carrier (FSPC).

[0151] Furthermore, the specific UE capability may be a capability that is applied to all duplexing methods (commonly regardless of the duplexing method), or may be a capability for each duplexing method (e.g., Time Division Duplex (TDD) or Frequency Division Duplex (FDD)).

[0152] If the above conditions are not met, the UE / BS may follow the behavior specified in existing 3GPP releases.

[0153] (Supplementary Notes) The following inventions are supplementary notes regarding the 0th to 2nd embodiments of the present disclosure. [Supplementary Note 1] A terminal having: a receiver that receives configuration information related to measurement of at least one of Channel Impulse Response (CIR), Power Delay Profile (PDP), and Delay Profile (DP), the configuration information including at least one parameter of an additional path and a relative time difference for Artificial Intelligence (AI) based positioning; and a controller that applies model inference for AI based positioning and performs measurement based on the configuration information. [Supplementary Note 2] The terminal according to Supplementary Note 1, wherein the receiver receives a configuration indicating granularity of sample-based measurement, and the controller performs sample-based measurement using granularity coarser than the granularity. [Supplementary Note 3] The terminal according to Supplementary Note 1 or Supplementary Note 2, further having a transmitter that transmits, as a measurement result, a difference value from a measurement value at a specific timing.

[0154] (Wireless Communication System) The configuration of a wireless communication system according to an embodiment of the present disclosure will be described below. In this wireless communication system, communication is performed using any one of the wireless communication methods according to the above embodiments of the present disclosure or a combination thereof.

[0155] 15 is a diagram illustrating an example of a schematic configuration of a wireless communication system according to an embodiment. The wireless communication system 1 (which may be simply referred to as system 1) may be a system that realizes communication using Long Term Evolution (LTE) or 5th generation mobile communication system New Radio (5G NR) specified by the Third Generation Partnership Project (3GPP).

[0156] The wireless communication system 1 may also support dual connectivity between multiple Radio Access Technologies (RATs) (Multi-RAT Dual Connectivity (MR-DC)). MR-DC may include dual connectivity between LTE (Evolved Universal Terrestrial Radio Access (E-UTRA)) and NR (E-UTRA-NR Dual Connectivity (EN-DC)), dual connectivity between NR and LTE (NR-E-UTRA Dual Connectivity (NE-DC)), etc.

[0157] In EN-DC, the LTE (E-UTRA) base station (eNB) is the master node (Master Node (MN)), and the NR base station (gNB) is the secondary node (Secondary Node (SN)). In NE-DC, the NR base station (gNB) is the MN, and the LTE (E-UTRA) base station (eNB) is the SN.

[0158] The wireless communication system 1 may support dual connectivity between multiple base stations within the same RAT (for example, dual connectivity in which both the MN and SN are NR base stations (gNBs) (NR-NR Dual Connectivity (NN-DC))).

[0159] The wireless communication system 1 may include a base station 11 that forms a macrocell C1 with a relatively wide coverage, and base stations 12 (12a-12c) that are located within the macrocell C1 and form small cells C2 that are smaller than the macrocell C1. A user terminal 20 may be located within at least one of the cells. The location, number, shape, size, etc. of each cell and user terminal 20 are not limited to the embodiment shown in the figure. Hereinafter, when there is no need to distinguish between the base stations 11 and 12, they will be collectively referred to as the base station 10.

[0160] The wireless communication system 1 may utilize multi-input multi-output (MIMO). For example, one cell may be formed by one antenna / base station 10, or may be formed by multiple antennas / base stations 10. One [virtual] cell (which may be called, for example, a supercell) may be composed of multiple [virtual] cells (which may be called, for example, subcells). A supercell may correspond to a cell with a fixed physical range, and a subcell may correspond to a cell with a quasi-static / dynamically variable physical range. In this case, the wireless communication system 1 may be called a cell-free system.

[0161] The user terminal 20 may be connected to at least one of the multiple base stations 10. The user terminal 20 may utilize at least one of carrier aggregation (CA) using multiple component carriers (CCs) and dual connectivity (DC).

[0162] Each CC may be included in at least one of a first frequency band (Frequency Range 1 (FR1)) and a second frequency band (Frequency Range 2 (FR2)). The macro cell C1 may be included in FR1, and the small cell C2 may be included in FR2. For example, FR1 may be a frequency band of 6 GHz or less (sub-6 GHz), and FR2 may be a frequency band higher than 24 GHz (above-24 GHz). Note that the frequency bands and definitions of FR1 and FR2 are not limited to these, and for example, FR1 may correspond to a higher frequency band than FR2.

[0163] Furthermore, the user terminal 20 may perform communication using at least one of time division duplex (TDD) and frequency division duplex (FDD) in each CC.

[0164] The multiple base stations 10 may be connected by wire (e.g., optical fiber compliant with the Common Public Radio Interface (CPRI), an X2 / Xn interface, etc.) or wirelessly (e.g., NR communication). For example, when NR communication is used as a backhaul between the base stations 11 and 12, the base station 11 corresponding to the upper station may be called an Integrated Access Backhaul (IAB) donor, and the base station 12 corresponding to the relay station (relay) may be called an IAB node.

[0165] The base station 10 may be connected to the core network 30 directly or via another base station 10. The core network 30 may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), a Next Generation Core (NGC), and the like.

[0166] The core network 30 may include network functions (Network Functions (NF)) such as a User Plane Function (UPF), an Access and Mobility management Function (AMF), a Session Management Function (SMF), a Unified Data Management (UDM), an Application Function (AF), a Data Network (DN), a Location Management Function (LMF), and Operation, Administration and Maintenance (Management) (OAM). A single network node may provide multiple functions. Communication with an external network (e.g., the Internet) may also be performed via the DN.

[0167] The user terminal 20 may be a terminal that supports at least one of communication methods such as LTE, LTE-A, and 5G.

[0168] An Orthogonal Frequency Division Multiplexing (OFDM)-based radio access scheme may be used in the wireless communication system 1. For example, Cyclic Prefix OFDM (CP-OFDM), Discrete Fourier Transform Spread OFDM (DFT-s-OFDM), Orthogonal Frequency Division Multiple Access (OFDMA), Single Carrier Frequency Division Multiple Access (SC-FDMA), or the like may be used in at least one of the downlink (DL) and uplink (UL).

[0169] The radio access scheme may also be called a waveform. Note that in the wireless communication system 1, other radio access schemes (e.g., other single-carrier transmission schemes, other multi-carrier transmission schemes) may be used as the UL and DL radio access schemes.

[0170] In the wireless communication system 1, a downlink shared channel (Physical Downlink Shared Channel (PDSCH)) shared by each user terminal 20, a broadcast channel (Physical Broadcast Channel (PBCH)), a downlink control channel (Physical Downlink Control Channel (PDCCH)), etc. may be used as the downlink channel.

[0171] Furthermore, in the wireless communication system 1, an uplink shared channel (Physical Uplink Shared Channel (PUSCH)) shared by each user terminal 20, an uplink control channel (Physical Uplink Control Channel (PUCCH)), a random access channel (Physical Random Access Channel (PRACH)), or the like may be used as an uplink channel.

[0172] The PDSCH transmits user data, higher layer control information, a System Information Block (SIB), etc. The PUSCH may transmit user data, higher layer control information, etc. Furthermore, the PBCH may transmit a Master Information Block (MIB).

[0173] Lower layer control information may be transmitted by the PDCCH. The lower layer control information may include, for example, Downlink Control Information (DCI) including scheduling information for at least one of the PDSCH and the PUSCH.

[0174] Note that the DCI for scheduling the PDSCH may be referred to as a DL assignment, a DL DCI, etc., and the DCI for scheduling the PUSCH may be referred to as a UL grant, a UL DCI, etc. Note that the PDSCH may be replaced with DL data, and the PUSCH may be replaced with UL data.

[0175] A control resource set (CORESET) and a search space may be used to detect the PDCCH. The CORESET corresponds to resources for searching for DCI. The search space corresponds to a search region and a search method for PDCCH candidates. One CORESET may be associated with one or more search spaces. The UE may monitor the CORESET associated with a certain search space based on the search space configuration.

[0176] One search space may correspond to PDCCH candidates corresponding to one or more aggregation levels. One or more search spaces may be referred to as a search space set. Note that the terms "search space," "search space set," "search space configuration," "search space set configuration," "CORESET," "CORESET configuration," and the like in the present disclosure may be read interchangeably.

[0177] The PUCCH may transmit uplink control information (UCI) including at least one of channel state information (CSI), delivery confirmation information (which may be called, for example, Hybrid Automatic Repeat reQuest ACKnowledgement (HARQ-ACK), ACK / NACK, etc.), and scheduling request (SR). The PRACH may transmit a random access preamble for establishing a connection with a cell.

[0178] In the present disclosure, downlink, uplink, etc. may be expressed without adding "link." Also, various channels may be expressed without adding "Physical" to the beginning.

[0179] In the wireless communication system 1, a synchronization signal (SS), a downlink reference signal (DL-RS), etc. may be transmitted. In the wireless communication system 1, as the DL-RS, a cell-specific reference signal (CRS), a channel state information reference signal (CSI-RS), a demodulation reference signal (DMRS), a positioning reference signal (PRS), a phase tracking reference signal (PTRS), etc. may be transmitted.

[0180] The synchronization signal may be, for example, at least one of a Primary Synchronization Signal (PSS) and a Secondary Synchronization Signal (SSS). A signal block including an SS (PSS, SSS) and a PBCH (and a DMRS for the PBCH) may be referred to as an SS / PBCH block, an SS Block (SSB), or the like. Note that the SS, SSB, and the like may also be referred to as a reference signal.

[0181] Furthermore, in the wireless communication system 1, a sounding reference signal (SRS), a demodulation reference signal (DMRS), or the like may be transmitted as an uplink reference signal (UL-RS). Note that the DMRS may also be called a user equipment-specific reference signal (UE-specific reference signal).

[0182] 16 is a diagram showing an example of the configuration of a base station according to an embodiment. The base station 10 includes a control unit 110, a transceiver unit 120, a transceiver antenna 130, and a transmission line interface 140. Note that the base station may include one or more of each of the control unit 110, the transceiver unit 120, the transceiver antenna 130, and the transmission line interface 140.

[0183] In this example, the functional blocks of the characteristic parts of the present embodiment are mainly shown, and it may be assumed that the base station 10 also has other functional blocks necessary for wireless communication. Some of the processing of each unit described below may be omitted.

[0184] The control unit 110 performs overall control of the base station 10. The control unit 110 can be configured from a controller, a control circuit, and the like that are explained based on common understanding in the technical field to which the present disclosure relates.

[0185] The control unit 110 may control signal generation, scheduling (e.g., resource allocation, mapping), etc. The control unit 110 may control transmission and reception using the transceiver unit 120, the transceiver antenna 130, and the transmission path interface 140, measurement, etc. The control unit 110 may generate data, control information, sequences, etc. to be transmitted as signals, and transfer them to the transceiver unit 120. The control unit 110 may perform call processing (setting up, releasing, etc.) of communication channels, status management of the base station 10, management of radio resources, etc.

[0186] The transceiver unit 120 may include a baseband unit 121, a radio frequency (RF) unit 122, and a measurement unit 123. The baseband unit 121 may include a transmission processing unit 1211 and a reception processing unit 1212. The transceiver unit 120 may be configured with a transmitter / receiver, an RF circuit, a baseband circuit, a filter, a phase shifter, a measurement circuit, a transceiver circuit, etc., which are described based on common understanding in the technical field related to the present disclosure.

[0187] The transmitting / receiving unit 120 may be configured as an integrated transmitting / receiving unit, or may be configured from a transmitting unit and a receiving unit. The transmitting unit may be configured from a transmission processing unit 1211 and an RF unit 122. The receiving unit may be configured from a reception processing unit 1212, the RF unit 122, and a measurement unit 123.

[0188] The transmitting and receiving antenna 130 can be configured from an antenna described based on common understanding in the technical field to which the present disclosure relates, such as an array antenna.

[0189] The transceiver 120 may transmit the above-mentioned downlink channel, synchronization signal, downlink reference signal, etc. The transceiver 120 may receive the above-mentioned uplink channel, uplink reference signal, etc.

[0190] The transceiver 120 may form at least one of the transmit beam and the receive beam using digital beamforming (e.g., precoding), analog beamforming (e.g., phase rotation), or the like.

[0191] The transmitter / receiver unit 120 (transmission processing unit 1211) may perform Packet Data Convergence Protocol (PDCP) layer processing, Radio Link Control (RLC) layer processing (e.g., RLC retransmission control), Medium Access Control (MAC) layer processing (e.g., HARQ retransmission control), etc. on data, control information, etc. obtained from the control unit 110, and generate a bit string to be transmitted.

[0192] The transmitter / receiver unit 120 (transmission processing unit 1211) may perform transmission processing such as channel coding (which may include error correction coding), modulation, mapping, filtering, Discrete Fourier Transform (DFT) processing (if necessary), Inverse Fast Fourier Transform (IFFT) processing, precoding, and digital-to-analog conversion on the bit string to be transmitted, and output a baseband signal.

[0193] The transceiver unit 120 (RF unit 122) may perform modulation, filtering, amplification, etc. on the baseband signal to a radio frequency band, and transmit the radio frequency band signal via the transceiver antenna 130.

[0194] On the other hand, the transceiver unit 120 (RF unit 122) may perform amplification, filtering, demodulation to a baseband signal, etc. on the radio frequency band signal received by the transceiver antenna 130.

[0195] The transceiver 120 (reception processing unit 1212) may apply reception processing such as analog-to-digital conversion, Fast Fourier Transform (FFT) processing, Inverse Discrete Fourier Transform (IDFT) processing (if necessary), filtering, demapping, demodulation, decoding (which may include error correction decoding), MAC layer processing, RLC layer processing, and PDCP layer processing to the acquired baseband signal, thereby acquiring user data, etc.

[0196] The transceiver 120 (measurement unit 123) may perform measurements on the received signal. For example, the measurement unit 123 may perform Radio Resource Management (RRM) measurements, Channel State Information (CSI) measurements, etc. based on the received signal. The measurement unit 123 may measure received power (e.g., Reference Signal Received Power (RSRP)), received quality (e.g., Reference Signal Received Quality (RSRQ), Signal to Interference plus Noise Ratio (SINR), Signal to Noise Ratio (SNR)), signal strength (e.g., Received Signal Strength Indicator (RSSI)), propagation path information (e.g., CSI), etc. The measurement results may be output to the control unit 110.

[0197] The transmission path interface 140 may transmit and receive signals (backhaul signaling) between devices included in the core network 30 (e.g., network nodes that provide NF), other base stations 10, etc., and may acquire and transmit user data (user plane data), control plane data, etc. for the user terminal 20.

[0198] The transmitting section and receiving section of the base station 10 in the present disclosure may be configured by at least one of the transmitting / receiving section 120, the transmitting / receiving antenna 130, and the transmission path interface 140.

[0199] The base station 10 may be separated into three elements: a radio unit (RU), a distributed unit (DU), and a central unit (CU). For example, the RU may implement RF processing (digital beamforming, digital-to-analog conversion, analog beamforming, etc.) and lower-level functions of the physical layer (precoding, IFFT, FFT, etc.). The DU may implement higher-level functions of the physical layer (coding to resource element mapping, etc.), MAC layer functions, and RLC layer functions. The CU may implement the functions of the PDCP layer, Service Data Adaptation Protocol (SDAP) layer, and RRC layer.

[0200] In the present disclosure, the base station 10 may include a single device that realizes all of the functions of the RU, DU, and CU, or may include multiple devices that each realize some of the functions of the RU, DU, and CU and are connected to each other. In the present disclosure, the base station 10 may be interchangeably read as RU / DU / CU.

[0201] The transceiver unit 120 may transmit / receive configuration information related to measurements of at least one of Channel Impulse Response (CIR), Power Delay Profile (PDP), and Delay Profile (DP), which may include at least one parameter of an additional path and relative time difference for Artificial Intelligence (AI)-based positioning.

[0202] The control unit 110 may apply model inference for AI-based positioning and perform measurements based on the configuration information.

[0203] (User Terminal) Fig. 17 is a diagram showing an example of the configuration of a user terminal according to one embodiment. The user terminal 20 includes a control unit 210, a transceiver unit 220, and a transceiver antenna 230. Note that the user terminal 20 may include one or more of each of the control unit 210, the transceiver unit 220, and the transceiver antenna 230.

[0204] In this example, the functional blocks of the characteristic parts of the present embodiment are mainly shown, and it may be assumed that the user terminal 20 also has other functional blocks necessary for wireless communication. Some of the processing of each unit described below may be omitted.

[0205] The control unit 210 performs overall control of the user terminal 20. The control unit 210 can be configured from a controller, a control circuit, etc., which are described based on common understanding in the technical field to which the present disclosure relates.

[0206] The control unit 210 may control signal generation, mapping, etc. The control unit 210 may control transmission and reception, measurement, etc. using the transceiver unit 220 and the transceiver antenna 230. The control unit 210 may generate data, control information, sequences, etc. to be transmitted as signals and transfer them to the transceiver unit 220.

[0207] The transceiver unit 220 may include a baseband unit 221, an RF unit 222, and a measurement unit 223. The baseband unit 221 may include a transmission processing unit 2211 and a reception processing unit 2212. The transceiver unit 220 may be configured with a transmitter / receiver, an RF circuit, a baseband circuit, a filter, a phase shifter, a measurement circuit, a transceiver circuit, etc., which are described based on common understanding in the technical field related to the present disclosure.

[0208] The transmitting / receiving unit 220 may be configured as an integrated transmitting / receiving unit, or may be composed of a transmitting unit and a receiving unit. The transmitting unit may be composed of a transmission processing unit 2211 and an RF unit 222. The receiving unit may be composed of a reception processing unit 2212, an RF unit 222, and a measurement unit 223.

[0209] The transmitting / receiving antenna 230 can be configured from an antenna described based on common understanding in the technical field to which the present disclosure relates, such as an array antenna.

[0210] The transceiver 220 may receive the above-mentioned downlink channel, synchronization signal, downlink reference signal, etc. The transceiver 220 may transmit the above-mentioned uplink channel, uplink reference signal, etc.

[0211] The transceiver unit 220 may form at least one of the transmit beam and the receive beam using digital beamforming (e.g., precoding), analog beamforming (e.g., phase rotation), or the like.

[0212] The transceiver unit 220 (transmission processing unit 2211) may perform PDCP layer processing, RLC layer processing (e.g., RLC retransmission control), MAC layer processing (e.g., HARQ retransmission control), etc. on data, control information, etc. obtained from the control unit 210, and generate a bit string to be transmitted.

[0213] The transmitter / receiver unit 220 (transmission processing unit 2211) may perform transmission processing such as channel coding (which may include error correction coding), modulation, mapping, filtering, DFT processing (if necessary), IFFT processing, precoding, and digital-to-analog conversion on the bit string to be transmitted, and output a baseband signal.

[0214] Whether or not to apply DFT processing may be based on the setting of transform precoding. When transform precoding is enabled for a certain channel (e.g., PUSCH), the transceiver unit 220 (transmission processing unit 2211) may perform DFT processing as the transmission processing to transmit the channel using a DFT-s-OFDM waveform, and if not, it may not be necessary to perform DFT processing as the transmission processing.

[0215] The transceiver unit 220 (RF unit 222) may perform modulation, filtering, amplification, etc. on the baseband signal to a radio frequency band, and transmit the radio frequency band signal via the transceiver antenna 230.

[0216] On the other hand, the transceiver unit 220 (RF unit 222) may perform amplification, filtering, demodulation to a baseband signal, etc. on the radio frequency band signal received by the transceiver antenna 230.

[0217] The transceiver unit 220 (reception processing unit 2212) may apply reception processing such as analog-to-digital conversion, FFT processing, IDFT processing (if necessary), filtering, demapping, demodulation, decoding (which may include error correction decoding), MAC layer processing, RLC layer processing, and PDCP layer processing to the acquired baseband signal, and acquire user data, etc.

[0218] The transceiver 220 (measurement unit 223) may perform measurements on the received signal. For example, the measurement unit 223 may perform RRM measurements, CSI measurements, etc. based on the received signal. The measurement unit 223 may measure received power (e.g., RSRP), received quality (e.g., RSRQ, SINR, SNR), signal strength (e.g., RSSI), propagation path information (e.g., CSI), etc. The measurement results may be output to the control unit 210.

[0219] The measurement unit 223 may derive channel measurements for CSI calculation based on channel measurement resources. The channel measurement resources may be, for example, non-zero power (NZP) CSI-RS resources. The measurement unit 223 may also derive interference measurements for CSI calculation based on interference measurement resources. The interference measurement resources may be at least one of NZP CSI-RS resources for interference measurement, CSI-Interference Measurement (IM) resources, etc. Note that CSI-IM may be referred to as CSI-Interference Management (IM) or may be interchangeably read as Zero Power (ZP) CSI-RS. Note that in the present disclosure, CSI-RS, NZP CSI-RS, ZP CSI-RS, CSI-IM, CSI-SSB, etc. may be interchangeably read as interchangeable.

[0220] 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.

[0221] The transceiver unit 220 may receive configuration information related to measurements of at least one of a Channel Impulse Response (CIR), a Power Delay Profile (PDP), and a Delay Profile (DP), which may include at least one parameter of an additional path and a relative time difference for Artificial Intelligence (AI)-based positioning.

[0222] The control unit 210 may apply model inference for AI-based positioning and perform measurements based on the configuration information. The transceiver unit 220 may transmit the measurement results to a Location Management Function (LMF).

[0223] The transceiver 220 may receive a setting indicating the granularity of the sample-based measurement, and the controller 210 may perform the sample-based measurement using a granularity that is coarser than the setting.

[0224] The transmitting / receiving unit 220 may transmit a difference value from the measurement value at a specific timing as the measurement result.

[0225] (Hardware Configuration) Note that the block diagrams used to explain the above embodiments show functional blocks. These functional blocks (components) are realized by any combination of at least one of hardware and software. Furthermore, the method for realizing each functional block is not particularly limited. That is, each functional block may be realized using a single device that is physically or logically coupled, or may be realized using two or more physically or logically separated devices that are directly or indirectly connected (for example, using wires, wirelessly, etc.) and these multiple devices. The functional block may be realized by combining software with the single device or the multiple devices.

[0226] Here, the functions include, but are not limited to, judgment, determination, judgment, calculation, computation, processing, derivation, investigation, search, confirmation, reception, transmission, output, access, resolution, selection, election, establishment, comparison, assumption, expectation, deeming, broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, and assignment. For example, a functional block (component) that performs transmission may be called a transmitting unit, transmitter, etc. As described above, the implementation method of each is not particularly limited.

[0227] For example, a base station, a user terminal, etc. according to an embodiment of the present disclosure may function as a computer that performs processing of the wireless communication method of the present disclosure. Fig. 18 is a diagram illustrating an example of the hardware configuration of a base station and a user terminal according to an embodiment. The above-described base station 10 and user terminal 20 may be physically configured as a computer device including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, etc.

[0228] In the present disclosure, the terms apparatus, circuit, device, section, unit, etc. may be used interchangeably. The hardware configurations of the base station 10 and the user terminal 20 may be configured to include one or more of the devices shown in the drawings, or may be configured to exclude some of the devices.

[0229] For example, although only one processor 1001 is shown, there may be multiple processors. Furthermore, processing may be performed by one processor, or processing may be performed by two or more processors simultaneously, serially, or in other ways. Furthermore, processor 1001 may be implemented by one or more chips.

[0230] Each function in the base station 10 and the user terminal 20 is realized, for example, by loading specified software (programs) onto hardware such as a processor 1001 and a memory 1002, causing the processor 1001 to perform calculations, control communication via the communication device 1004, and control at least one of reading and writing data in the memory 1002 and the storage 1003.

[0231] The processor 1001, for example, runs an operating system to control the entire computer. The processor 1001 may be configured as a central processing unit (CPU) including an interface with peripheral devices, a control device, an arithmetic unit, a register, etc. For example, at least a part of the above-mentioned control unit 110 (210), transceiver unit 120 (220), etc. may be realized by the processor 1001.

[0232] The processor 1001 also reads programs (program codes), software modules, data, etc. from at least one of the storage 1003 and the communication device 1004 into the memory 1002 and executes various processes in accordance with these. The programs used are those that cause a computer to execute at least some of the operations described in the above-described embodiments. For example, the control unit 110 (210) may be implemented by a control program stored in the memory 1002 and running on the processor 1001, and the other functional blocks may be implemented in a similar manner.

[0233] The memory 1002 is a computer-readable recording medium and may be configured by at least one of, for example, Read Only Memory (ROM), Erasable Programmable ROM (EPROM), Electrically EEPROM (EEPROM), Random Access Memory (RAM), or other suitable storage medium. The memory 1002 may also be referred to as a register, cache, main memory, etc. The memory 1002 may store executable programs (program codes), software modules, etc. for implementing a wireless communication method according to an embodiment of the present disclosure.

[0234] Storage 1003 is a computer-readable recording medium and may be composed of at least one of, for example, a flexible disk, a floppy disk, a magneto-optical disk (e.g., a compact disc (e.g., a Compact Disc ROM (CD-ROM)), a digital versatile disc, a Blu-ray disc), a removable disk, a hard disk drive, a smart card, a flash memory device (e.g., a card, a stick, a key drive), a magnetic stripe, a database, a server, or other suitable storage medium. Storage 1003 may also be referred to as an auxiliary storage device.

[0235] The communication device 1004 is hardware (transmission / reception device) for communicating between computers via at least one of a wired network and a wireless network, and is also referred to as, for example, a network device, a network controller, a network card, or a communication module. The communication device 1004 may be configured to include a high-frequency switch, a duplexer, a filter, a frequency synthesizer, etc. to realize at least one of frequency division duplex (FDD) and time division duplex (TDD). For example, the above-mentioned transmission / reception unit 120 (220), transmission / reception antenna 130 (230), etc. may be realized by the communication device 1004. The transmission / reception unit 120 (220) may be implemented as a transmission unit 120a (220a) and a reception unit 120b (220b) that are physically or logically separated.

[0236] The input device 1005 is an input device (e.g., a keyboard, a mouse, a microphone, a switch, a button, a sensor, etc.) that accepts input from the outside. The output device 1006 is an output device (e.g., a display, a speaker, a light emitting diode (LED) lamp, etc.) that outputs to the outside. Note that the input device 1005 and the output device 1006 may be integrated into one device (e.g., a touch panel).

[0237] Furthermore, each device, such as the processor 1001 and the memory 1002, is connected by a bus 1007 for communicating information. The bus 1007 may be configured using a single bus, or may be configured using different buses between each device.

[0238] Furthermore, the base station 10 and the user terminal 20 may be configured to include hardware such as a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a programmable logic device (PLD), or a field programmable gate array (FPGA), and some or all of the functional blocks may be realized using this hardware. For example, the processor 1001 may be implemented using at least one of these pieces of hardware.

[0239] In addition, the devices included in the core network 30 (for example, network nodes that provide NF) may also be realized by the above-mentioned functional block / hardware configuration.

[0240] (Modifications) Note that terms described in the present disclosure and terms necessary for understanding the present disclosure may be replaced with terms having the same or similar meanings. For example, a channel, a symbol, and a signal (signal or signaling) may be interchangeable. A signal may also be a message. A reference signal may be abbreviated as RS, and may also be called a pilot, pilot signal, etc. depending on the applicable standard. A component carrier (CC) may also be called a cell, frequency carrier, carrier frequency, etc.

[0241] A radio frame may be composed of one or more periods (frames) in the time domain. Each of the one or more periods (frames) constituting a radio frame may be called a subframe. Furthermore, a subframe may be composed of one or more slots in the time domain. A subframe may have a fixed time length (e.g., 1 ms) that is independent of numerology.

[0242] Here, the numerology may be a communication parameter applied to at least one of transmission and reception of a signal or channel, and may indicate at least one of, for example, Subcarrier Spacing (SCS), bandwidth, symbol length, cyclic prefix length, Transmission Time Interval (TTI), number of symbols per TTI, radio frame structure, specific filtering performed by a transceiver in the frequency domain, and specific windowing performed by a transceiver in the time domain.

[0243] A slot may be composed of one or more symbols (such as an Orthogonal Frequency Division Multiplexing (OFDM) symbol or a Single Carrier Frequency Division Multiple Access (SC-FDMA) symbol) in the time domain. A slot may also be a time unit based on numerology.

[0244] A slot may include multiple minislots. Each minislot may consist of one or multiple symbols in the time domain. A minislot may also be called a subslot. A minislot may consist of fewer symbols than a slot. A PDSCH (or PUSCH) transmitted in a time unit larger than a minislot may be called PDSCH (PUSCH) mapping type A. A PDSCH (or PUSCH) transmitted using a minislot may be called PDSCH (PUSCH) mapping type B.

[0245] A radio frame, a subframe, a slot, a minislot, and a symbol all represent time units for transmitting signals. The radio frame, the subframe, the slot, the minislot, and the symbol may be referred to by other names corresponding to the radio frame, the subframe, the slot, the minislot, and the symbol. Note that the time units such as a frame, a subframe, a slot, a minislot, and a symbol in the present disclosure may be interchangeable.

[0246] For example, one subframe may be referred to as a TTI, or multiple consecutive subframes may be referred to as a TTI, or one slot or one minislot may be referred to as a TTI. That is, at least one of the subframe and the TTI may be a subframe (1 ms) in existing LTE, a period shorter than 1 ms (for example, 1-13 symbols), or a period longer than 1 ms. Note that the unit representing the TTI may be called a slot, minislot, etc. instead of a subframe.

[0247] Here, TTI refers to, for example, the smallest time unit for scheduling in wireless communication. For example, in an LTE system, a base station performs scheduling to allocate radio resources (such as frequency bandwidth and transmission power that can be used by each user terminal) to each user terminal in TTI units. Note that the definition of TTI is not limited to this.

[0248] The TTI may be a transmission time unit for a channel-encoded data packet (transport block), a code block, a code word, etc., or may be a processing unit for scheduling, link adaptation, etc. When a TTI is given, the time interval (e.g., the number of symbols) to which a transport block, a code block, a code word, etc. is actually mapped may be shorter than the TTI.

[0249] When one slot or one minislot is called a TTI, one or more TTIs (i.e., one or more slots or one or more minislots) may be the minimum time unit for scheduling. Also, the number of slots (minislots) constituting the minimum time unit for scheduling may be controlled.

[0250] A TTI having a time length of 1 ms may be called a regular TTI (TTI in 3GPP Rel. 8-12), normal TTI, long TTI, regular subframe, normal subframe, long subframe, slot, etc. A TTI shorter than a regular TTI may be called a shortened TTI, short TTI, partial or fractional TTI, shortened subframe, short subframe, minislot, subslot, slot, etc.

[0251] In addition, a long TTI (e.g., a normal TTI, a subframe, etc.) may be interpreted as a TTI having a time length of more than 1 ms, and a short TTI (e.g., a shortened TTI, etc.) may be interpreted as a TTI having a TTI length shorter than the TTI length of a long TTI and greater than or equal to 1 ms.

[0252] A resource block (RB) is a resource allocation unit in the time domain and the frequency domain, and may include one or more consecutive subcarriers in the frequency domain. The number of subcarriers included in an RB may be the same regardless of numerology, for example, 12. The number of subcarriers included in an RB may be determined based on numerology.

[0253] In addition, an RB may include one or more symbols in the time domain and may have a length of one slot, one minislot, one subframe, or one TTI, each of which may be composed of one or more resource blocks.

[0254] In addition, one or more RBs may be referred to as a physical resource block (PRB), a sub-carrier group (SCG), a resource element group (REG), a PRB pair, an RB pair, etc.

[0255] Furthermore, a resource block may be composed of one or more resource elements (REs). For example, one RE may be a radio resource region of one subcarrier and one symbol.

[0256] A Bandwidth Part (BWP), which may also be referred to as a partial bandwidth, may represent a subset of contiguous common resource blocks (RBs) for a given numerology on a given carrier, where the common RBs may be identified by their index relative to a Common Reference Point of the carrier. PRBs may be defined in a BWP and numbered within the BWP.

[0257] The BWP may include a UL BWP (BWP for UL) and a DL BWP (BWP for DL). One or more BWPs may be configured for a UE within one carrier.

[0258] At least one of the configured BWPs may be active, and the UE may not expect to transmit or receive a given signal / channel outside the active BWP. Note that the terms "cell," "carrier," etc. in this disclosure may be read as "BWP."

[0259] The above-described structures of radio frames, subframes, slots, minislots, symbols, etc. are merely examples. For example, the number of subframes included in a radio frame, the number of slots per subframe or radio frame, the number of minislots included in a slot, the number of symbols and RBs included in a slot or minislot, the number of subcarriers included in an RB, the number of symbols in a TTI, the symbol length, the cyclic prefix (CP) length, etc. may be changed in various ways.

[0260] Furthermore, the information, parameters, etc. described in the present disclosure may be expressed using absolute values, may be expressed using relative values ​​from a predetermined value, or may be expressed using other corresponding information. For example, a radio resource may be indicated by a predetermined index.

[0261] The names used for parameters and the like in this disclosure are not intended to be limiting in any way. Furthermore, the mathematical expressions and the like using these parameters may differ from those explicitly disclosed in this disclosure. The various channels (PUCCH, PDCCH, etc.) and information elements may be identified by any suitable names, and therefore the various names assigned to these various channels and information elements are not intended to be limiting in any way.

[0262] The information, signals, etc. described in this disclosure may be represented using any of a variety of different technologies. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, optical fields or photons, or any combination thereof.

[0263] Furthermore, information, signals, etc. may be output from a higher layer to a lower layer and / or from a lower layer to a higher layer. Information, signals, etc. may be input / output via multiple network nodes.

[0264] Input and output information, signals, etc. may be stored in a specific location (for example, memory) or may be managed using a management table. Input and output information, signals, etc. may be overwritten, updated, or added. Output information, signals, etc. may be deleted. Input information, signals, etc. may be transmitted to another device.

[0265] With respect to any information (e.g., variables, constants, parameters) described in the present disclosure, even if not specifically stated in the above embodiments, any first device (e.g., UE / base station) may notify any second device (e.g., base station / UE) of information indicating / specifying (or relating to) the value of the any information.

[0266] The notification of information is not limited to the aspects / embodiments described in the present disclosure, and may be performed using other methods. For example, the notification of information in the present disclosure may be performed by physical layer signaling (e.g., Downlink Control Information (DCI) and Uplink Control Information (UCI)), higher layer signaling (e.g., Radio Resource Control (RRC) signaling, broadcast information (Master Information Block (MIB) and System Information Block (SIB)), Medium Access Control (MAC) signaling), other signals, or a combination thereof.

[0267] Note that the physical layer signaling may be referred to as Layer 1 / Layer 2 (L1 / L2) control information (L1 / L2 control signal), L1 control information (L1 control signal), etc. Furthermore, the RRC signaling may be referred to as an RRC message, such as an RRC Connection Setup message or an RRC Connection Reconfiguration message. Furthermore, the MAC signaling may be notified using, for example, a MAC Control Element (CE).

[0268] Furthermore, notification of specified information (e.g., notification that "it is X") is not limited to explicit notification, but may be made implicitly (e.g., by not notifying the specified information or by notifying other information).

[0269] The determination may be made by a value represented by one bit (0 or 1), by a Boolean value represented by true or false, or by a comparison of numerical values ​​(e.g., comparison with a predetermined value).

[0270] Software shall be construed broadly to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures, functions, etc., whether referred to as software, firmware, middleware, microcode, hardware description language, or otherwise.

[0271] Software, instructions, information, etc. may also be transmitted or received over a transmission medium. For example, if software is transmitted from a website, server, or other remote source using wired technologies (such as coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL)), and / or wireless technologies (such as infrared, microwave), these wired and / or wireless technologies are included within the definition of transmission media.

[0272] As used in this disclosure, the terms "system" and "network" may be used interchangeably. A "network" may refer to devices included in the network (e.g., base stations).

[0273] In this disclosure, terms such as "precoding," "precoder," "weight (precoding weight)," "Quasi-Co-Location (QCL)," "Transmission Configuration Indication state (TCI state)," "spatial relation," "spatial domain filter," "transmit power," "phase rotation," "antenna port," "layer," "number of layers," "rank," "resource," "resource set," "beam," "beam width," "beam angle," "antenna," "antenna element," "panel," "UE panel," "transmitting entity," "receiving entity," etc. may be used interchangeably.

[0274] In the present disclosure, the term "antenna port" may be interchangeably read as an antenna port for any signal / channel (e.g., a demodulation reference signal (DMRS) port). In the present disclosure, the term "resource" may be interchangeably read as a resource for any signal / channel (e.g., a reference signal resource, an SRS resource, etc.). The resource may include time / frequency / code / space / power resources. Furthermore, the spatial domain transmission filter may include at least one of a spatial domain transmission filter and a spatial domain reception filter.

[0275] The group may include, for example, at least one of a spatial relationship group, a Code Division Multiplexing (CDM) group, a Reference Signal (RS) group, a Control Resource Set (CORESET) group, a PUCCH group, an antenna port group (e.g., a DMRS port group), a layer group, a resource group, a beam group, an antenna group, a panel group, and the like.

[0276] In addition, in the present disclosure, beam, SRS Resource Indicator (SRI), CORESET, CORESET pool, PDSCH, PUSCH, codeword (CW), transport block (TB), RS, etc. may be read as interchangeable terms.

[0277] In addition, in the present disclosure, the terms TCI state, downlink TCI state (DL TCI state), uplink TCI state (UL TCI state), unified TCI state, common TCI state, joint TCI state, etc. may be read interchangeably.

[0278] Furthermore, in the present disclosure, terms such as "QCL," "QCL assumption," "QCL relationship," "QCL type information," "QCL property / properties," "specific QCL type (e.g., Type A, Type D) property," and "specific QCL type (e.g., Type A, Type D)" may be interchangeable.

[0279] In the present disclosure, terms such as index, identifier (ID), indicator, indication, and resource ID may be interchangeable. In the present disclosure, terms such as sequence, list, set, group, cluster, and subset may be interchangeable.

[0280] Furthermore, the spatial relationship information identifier (ID) (TCI state ID) and the spatial relationship information (TCI state) may be interchangeable. The "spatial relationship information (TCI state)" may be interchangeable with "set of spatial relationship information (TCI state)", "one or more pieces of spatial relationship information", etc. The TCI state and the TCI may be interchangeable. The spatial relationship information and the spatial relationship may be interchangeable.

[0281] In the present disclosure, terms such as "base station (BS)," "radio base station," "fixed station," "NodeB," "eNB (eNodeB)," "gNB (gNodeB)," "access point," "transmission point (TP)," "reception point (RP)," "transmission / reception point (TRP)," "panel," "cell," "sector," "cell group," "carrier," "component carrier," etc. may be used interchangeably. Base stations may also be referred to by terms such as macrocell, small cell, femtocell, picocell, etc.

[0282] A base station can accommodate one or more (e.g., three) cells. When a base station accommodates multiple cells, the overall coverage area of ​​the base station can be partitioned into multiple smaller areas, and each smaller area can be provided with communication service by a base station subsystem (e.g., a small indoor base station (Remote Radio Head (RRH))). The terms "cell" or "sector" refer to part or all of the coverage area of ​​a base station and / or base station subsystem that provides communication service within that coverage.

[0283] In the present disclosure, a base station transmitting information to a terminal may be interpreted as the base station instructing the terminal to control / operate based on the information.

[0284] In this disclosure, the terms "Mobile Station (MS)," "user terminal," "User Equipment (UE)," "terminal," etc. may be used interchangeably.

[0285] A mobile station may also be referred to as a subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, or some other suitable terminology.

[0286] At least one of the base station and the mobile station may be called a transmitting device, a receiving device, a wireless communication device, etc. Note that at least one of the base station and the mobile station may be a device mounted on a moving object, the moving object itself, etc.

[0287] The mobile body is a movable object that can move at any speed and naturally includes cases where the mobile body is stationary. Examples of the mobile body include, but are not limited to, vehicles, transport vehicles, automobiles, motorcycles, bicycles, connected cars, excavators, bulldozers, wheel loaders, dump trucks, forklifts, trains, buses, handcars, rickshaws, ships and other watercraft, airplanes, rockets, satellites, drones, multicopters, quadcopters, balloons, and objects mounted thereon. The mobile body may also be a mobile body that moves autonomously based on an operation command.

[0288] The mobile object may be a vehicle (e.g., a car, an airplane, etc.), an unmanned mobile object (e.g., a drone, an autonomous vehicle, etc.), or a robot (manned or unmanned). Note that at least one of the base station and the mobile station may also include devices that do not necessarily move during communication operations. For example, at least one of the base station and the mobile station may be an Internet of Things (IoT) device such as a sensor.

[0289] 19 is a diagram showing an example of a vehicle according to an embodiment. The vehicle 40 includes a drive unit 41, a steering unit 42, an accelerator pedal 43, a brake pedal 44, a shift lever 45, left and right front wheels 46, left and right rear wheels 47, axles 48, an electronic control unit 49, various sensors (including a current sensor 50, an RPM sensor 51, an air pressure sensor 52, a vehicle speed sensor 53, an acceleration sensor 54, an accelerator pedal sensor 55, a brake pedal sensor 56, a shift lever sensor 57, and an object detection sensor 58), an information service unit 59, and a communication module 60.

[0290] The drive unit 41 is configured with at least one of an engine, a motor, and a hybrid of an engine and a motor, for example. The steering unit 42 includes at least a steering wheel (also called a handle) and is configured to steer at least one of the front wheels 46 and the rear wheels 47 based on the operation of the steering wheel operated by a user.

[0291] The electronic control unit 49 is composed of a microprocessor 61, memory (ROM, RAM) 62, and a communication port (for example, an input / output (IO) port) 63. Signals are input to the electronic control unit 49 from various sensors 50-58 provided in the vehicle. The electronic control unit 49 may also be called an Electronic Control Unit (ECU).

[0292] The signals from the various sensors 50-58 include a current signal from a current sensor 50 that senses the current of the motor, a rotation speed signal of the front wheels 46 / rear wheels 47 obtained by a rotation speed sensor 51, an air pressure signal of the front wheels 46 / rear wheels 47 obtained by an air pressure sensor 52, a vehicle speed signal obtained by a vehicle speed sensor 53, an acceleration signal obtained by an acceleration sensor 54, a depression amount signal of the accelerator pedal 43 obtained by an accelerator pedal sensor 55, a depression amount signal of the brake pedal 44 obtained by a brake pedal sensor 56, an operation signal of the shift lever 45 obtained by a shift lever sensor 57, and a detection signal for detecting obstacles, vehicles, pedestrians, etc. obtained by an object detection sensor 58.

[0293] The information service unit 59 is composed of various devices, such as a car navigation system, an audio system, speakers, a display, a television, and a radio, for providing (outputting) various information such as driving information, traffic information, and entertainment information, and one or more ECUs for controlling these devices. The information service unit 59 uses information acquired from external devices via the communication module 60 or the like to provide various information / services (e.g., multimedia information / multimedia services) to the occupants of the vehicle 40.

[0294] The information service unit 59 may include input devices (e.g., keyboards, mice, microphones, switches, buttons, sensors, touch panels, etc.) that accept input from the outside, and may also include output devices (e.g., displays, speakers, LED lamps, touch panels, etc.) that output to the outside.

[0295] The driving assistance system unit 64 includes various devices for providing functions to prevent accidents and reduce the driver's driving burden, such as millimeter-wave radar, Light Detection and Ranging (LiDAR), cameras, positioning locators (e.g., Global Navigation Satellite System (GNSS)), map information (e.g., High Definition (HD) maps, Autonomous Vehicle (AV) maps), gyro systems (e.g., Inertial Measurement Units (IMUs), Inertial Navigation Systems (INSs)), artificial intelligence (AI) chips, and AI processors, as well as one or more ECUs that control these devices. The driving assistance system unit 64 also transmits and receives various information via the communication module 60 to realize driving assistance functions or autonomous driving functions.

[0296] The communication module 60 can communicate with the microprocessor 61 and components of the vehicle 40 via the communication port 63. For example, the communication module 60 transmits and receives data (information) via the communication port 63 to and from the drive unit 41, steering unit 42, accelerator pedal 43, brake pedal 44, shift lever 45, left and right front wheels 46, left and right rear wheels 47, axles 48, the microprocessor 61 and memory (ROM, RAM) 62 in the electronic control unit 49, and the various sensors 50-58, which are provided in the vehicle 40.

[0297] The communication module 60 is a communication device that can be controlled by the microprocessor 61 of the electronic control unit 49 and can communicate with an external device. For example, it transmits and receives various information to and from the external device via wireless communication. The communication module 60 may be located either inside or outside the electronic control unit 49. The external device may be, for example, the base station 10 or the user terminal 20 described above. Furthermore, the communication module 60 may be, for example, at least one of the base station 10 and the user terminal 20 described above (or may function as at least one of the base station 10 and the user terminal 20).

[0298] The communication module 60 may transmit at least one of signals from the above-mentioned various sensors 50-58 input to the electronic control unit 49, information obtained based on the signals, and information based on input from the outside (user) obtained via the information service unit 59 to an external device via wireless communication. The electronic control unit 49, the various sensors 50-58, the information service unit 59, etc. may be referred to as input units that accept input. For example, the PUSCH transmitted by the communication module 60 may include information based on the above-mentioned input.

[0299] The communication module 60 receives various information (traffic information, traffic signal information, vehicle distance information, etc.) transmitted from an external device and displays it on an information service unit 59 provided in the vehicle. The information service unit 59 may also be called an output unit that outputs information (for example, outputs information to a device such as a display or speaker based on the PDSCH received by the communication module 60 (or data / information decoded from the PDSCH)).

[0300] Furthermore, the communication module 60 stores various information received from external devices in a memory 62 that can be used by the microprocessor 61. Based on the information stored in the memory 62, the microprocessor 61 may control the drive unit 41, steering unit 42, accelerator pedal 43, brake pedal 44, shift lever 45, left and right front wheels 46, left and right rear wheels 47, axles 48, various sensors 50-58, and the like provided in the vehicle 40.

[0301] Furthermore, a base station in the present disclosure may be read as a user terminal. For example, the aspects / embodiments of the present disclosure may be applied to a configuration in which communication between a base station and a user terminal is replaced with communication between multiple user terminals (which may be called, for example, Device-to-Device (D2D) or Vehicle-to-Everything (V2X)). In this case, the user terminal 20 may be configured to have the functions of the base station 10 described above. Furthermore, terms such as "uplink" and "downlink" may be read as terms corresponding to terminal-to-terminal communication (for example, "sidelink"). For example, terms such as an uplink channel and a downlink channel may be read as a sidelink channel.

[0302] Similarly, the user terminal in the present disclosure may be read as a base station, in which case the base station 10 may be configured to have the functions of the user terminal 20 described above.

[0303] In the present disclosure, an operation described as being performed by a base station may be performed by its upper node in some cases. It is apparent that in a network including one or more network nodes having a base station, various operations performed for communication with a terminal may be performed by the base station, one or more network nodes other than the base station (such as, but not limited to, a Mobility Management Entity (MME), a Serving-Gateway (S-GW), etc.), or a combination thereof.

[0304] Each aspect / embodiment described in this disclosure may be used alone, in combination, or switched depending on the implementation. Furthermore, the order of the processing procedures, sequences, flowcharts, etc. of each aspect / embodiment described in this disclosure may be changed unless inconsistent. For example, the methods described in this disclosure present elements of various steps using an example order, and are not limited to the particular order presented.

[0305] Each aspect / embodiment described in the present disclosure may be a technology other than Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 6th generation mobile communication system (6G), xth generation mobile communication system (xG (x is, for example, an integer or decimal number)), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New radio access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.17 (WiMAX (registered trademark)), IEEE 802.19 (WiMAX (registered trademark)), IEEE 802.20 (WiMAX (registered trademark)), IEEE 802.21 (Wi-Fi (registered trademark)), IEEE 802.22 (WiMAX (registered trademark)), IEEE 802.23 (WiMAX (registered trademark)), IEEE 802.24 (WiMAX (registered trademark)), IEEE 802.25 (WiMAX (registered trademark)), IEEE 802.26 (WiMAX (registered trademark)), IEEE 802.27 (WiMAX (registered trademark)), IEEE 802.28 (WiMAX (registered trademark)), IEEE 802.29 (WiMAX (registered trademark)), IEEE 802.30 (WiMAX (registered trademark)), IEEE 802.31 (Wi-Fi (registered trademark)), IEEE 802.32 (WiMAX (registered trademark)), IEEE 802.33 (WiMAX (registered trademark)), IEEE 802. The present invention may be applied to systems that use IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), or other suitable wireless communication methods, or to next-generation systems that are expanded, modified, created, or defined based on these. Furthermore, the present invention may be applied to a combination of multiple systems (e.g., a combination of LTE or LTE-A and 5G).

[0306] As used in this disclosure, the phrase "based on" does not mean "based only on," unless expressly stated otherwise. In other words, the phrase "based on" means both "based only on" and "based at least on."

[0307] As used in this disclosure, any reference to an element using a designation such as "first," "second," etc. does not generally limit the quantity or order of those elements. These designations may be used in this disclosure as a convenient method of distinguishing between two or more elements. Thus, a reference to a first and a second element does not imply that only two elements may be employed or that the first element must in some way precede the second element.

[0308] The term "determining" as used in this disclosure may encompass a wide variety of actions. For example, "determining" may be considered to be judging, calculating, computing, processing, deriving, investigating, looking up, search, inquiry (e.g., looking up in a table, database, or another data structure), ascertaining, etc.

[0309] Additionally, "determining" may be considered to be "determining" receiving (e.g., receiving information), transmitting (e.g., sending information), input, output, accessing (e.g., accessing data in memory), etc.

[0310] Furthermore, "determination" may be considered to be "determining" resolving, selecting, choosing, establishing, comparing, etc. In other words, "determination" may be considered to be "determining" some kind of action. In the present disclosure, "determination" may be read interchangeably with the above-mentioned actions.

[0311] Furthermore, in this disclosure, "determine / determining" may be interchangeably read as "assume / assuming," "expect / expecting," "consider / considering," etc. Furthermore, in this disclosure, "does not expect to do..." may be interchangeably read as "assumes not to do...."

[0312] In the present disclosure, "expect" may be interchangeably read as "be expected." For example, "expect(s) ..." ("..." may be expressed, for example, as a that clause, a to-infinitive, etc.) may be interchangeably read as "be expected ..." or "do ... (if the above "..." is a to-infinitive, a verb with "to")," etc. "does not expect ..." may be interchangeably read as "be not expected ..." or "does not ... (if the above "..." is a to-infinitive, a verb with "to")," etc. Furthermore, "An apparatus A is not expected ..." may be interchangeably read as "an apparatus B other than apparatus A does not expect ... from apparatus A" (for example, if apparatus A is a UE, apparatus B may be a base station).

[0313] The "maximum transmit power" in this disclosure may mean the maximum value of transmit power, the nominal UE maximum transmit power, or the rated UE maximum transmit power.

[0314] As used in this disclosure, the terms "connected," "coupled," or any variation thereof, refer to any direct or indirect connection or coupling between two or more elements, and may include the presence of one or more intermediate elements between two elements that are "connected" or "coupled" to each other. The coupling or connection between elements may be physical, logical, or a combination thereof. For example, "connected" may be read as "access."

[0315] In this disclosure, when two elements are connected, they may be considered to be "connected" or "coupled" to one another using one or more wires, cables, printed electrical connections, etc., as well as using electromagnetic energy having wavelengths in the radio frequency range, microwave range, light (both visible and invisible) range, etc., as some non-limiting and non-exhaustive examples.

[0316] In the present disclosure, the term "A and B are different" may mean "A and B are different from each other." The term may also mean "A and B are each different from C." Terms such as "separate" and "coupled" may also be interpreted in the same way as "different."

[0317] When the terms "include," "including," and variations thereof are used in this disclosure, these terms are intended to be inclusive, similar to the term "comprising." Furthermore, when the term "or" is used in this disclosure, it is not intended to be an exclusive or.

[0318] In this disclosure, where articles are added by translation, such as a, an, and the in English, the disclosure may include that the nouns following these articles are in the plural form.

[0319] In the present disclosure, terms such as "less than or equal to," "less than," "greater than," "more than," "equal to," etc. may be interchangeable. Furthermore, in the present disclosure, terms meaning "good," "bad," "big," "small," "high," "low," "fast," "slow," "wide," "narrow," etc. may be interchangeable, not limited to the positive, comparative, and superlative. Furthermore, in the present disclosure, terms meaning "good," "bad," "big," "small," "high," "low," "fast," "slow," "wide," "narrow," etc. may be interchangeable, not limited to the positive, comparative, and superlative, as expressions with "i-th" (i is an arbitrary integer) attached (for example, "highest" may be interchangeable with "i-th highest").

[0320] In this disclosure, the terms "of," "for," "regarding," "related to," "associated with," etc. may be read interchangeably.

[0321] In the present disclosure, terms such as "when A, B," "if A, (then) B," "B upon A," "B in response to A," "B based on A," "B during / while A," "B before A," "B at (the same time as) / on A," "B after A," "B since A," and "B until A" may be interchangeable. Note that A, B, and the like herein may be replaced with appropriate expressions such as nouns, gerunds, and regular sentences, depending on the context. Note that the time difference between A and B may be approximately zero (immediately after or immediately before). A time offset may also be applied to the time at which A occurs. For example, "A" may be interchangeable with "before / after a time offset at which A occurs." The time offset (eg, one or more symbols / slots) may be predefined or may be specified by the UE based on signaled information.

[0322] In the present disclosure, timing, time, duration, time instance, any time unit (e.g., slot, subslot, symbol, subframe), period, occasion, resource, etc. may be read interchangeably.

[0323] Although the invention according to the present disclosure has been described in detail above, it is clear to those skilled in the art that the invention according to the present disclosure is not limited to the embodiments described in the present disclosure. The description of the present disclosure is for illustrative purposes only and does not impose any limiting meaning on the invention according to the present disclosure.

[0324] This application is based on Japanese Patent Application No. 2024-030306, filed February 29, 2024, the contents of which are incorporated herein in their entirety.

Claims

1. A terminal having: a receiving unit that receives configuration information related to measurement of at least one of Channel Impulse Response (CIR), Power Delay Profile (PDP), and Delay Profile (DP), the configuration information including at least one parameter of an additional path and relative time difference for Artificial Intelligence (AI)-based positioning; and a control unit that applies model inference for AI-based positioning and performs measurements based on the configuration information.

2. The terminal according to claim 1, wherein the receiving unit receives a setting indicating a granularity of sample-based measurements, and the control unit performs sample-based measurements using a granularity coarser than the granularity.

3. The terminal according to claim 1, further comprising a transmitting unit that transmits a difference value from a measurement value at a specific timing as a measurement result.

4. A wireless communication method for a terminal, comprising: a step of receiving configuration information related to measurement of at least one of Channel Impulse Response (CIR), Power Delay Profile (PDP), and Delay Profile (DP), the configuration information including at least one parameter of an additional path and relative time difference for Artificial Intelligence (AI)-based positioning; and a step of applying model inference for AI-based positioning and performing measurements based on the configuration information.

5. A base station having: a transmitter that transmits configuration information related to measurement of at least one of Channel Impulse Response (CIR), Power Delay Profile (PDP), and Delay Profile (DP), the configuration information including at least one parameter of an additional path and relative time difference for Artificial Intelligence (AI)-based positioning; and a controller that applies model inference for AI-based positioning and performs measurements based on the configuration information.

Citation Information

Patent Citations

  • Positioning method and terminal

    JP2022515454A