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WO2025027855A1 - Terminal, procédé de communication sans fil, et station de base - Google Patents

Terminal, procédé de communication sans fil, et station de base Download PDF

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Publication number
WO2025027855A1
WO2025027855A1 PCT/JP2023/028457 JP2023028457W WO2025027855A1 WO 2025027855 A1 WO2025027855 A1 WO 2025027855A1 JP 2023028457 W JP2023028457 W JP 2023028457W WO 2025027855 A1 WO2025027855 A1 WO 2025027855A1
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Prior art keywords
csi
information
predicted
value
model
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English (en)
Japanese (ja)
Inventor
春陽 越後
聡 永田
浩樹 原田
チーピン ピ
リュー リュー
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NTT Docomo Inc
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NTT Docomo Inc
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Priority to PCT/JP2023/028457 priority Critical patent/WO2025027855A1/fr
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports

Definitions

  • AI artificial intelligence
  • ML machine learning
  • CSI Channel State Information Reference Signal
  • a UE uses AI technology to predict beam values (e.g., L1-RSRP/SINR) or PMI, the processing time (period until reporting), the number of Channel State Information (CSI) processing units (CPUs) occupied, the number of CSI resources, the number of CSI-RS ports, etc. may differ compared to existing processing related to CSI reporting. If these values are not clear, it may not be possible to properly report on the predicted beam/PMI, which may result in a decrease in communication throughput.
  • beam values e.g., L1-RSRP/SINR
  • PMI the processing time (period until reporting)
  • CSI Channel State Information
  • one of the objectives of this disclosure is to provide a terminal, a wireless communication method, and a base station that can appropriately report on predicted beams/PMI.
  • a terminal is characterized in having a control unit that determines the value of the number of Channel State Information (CSI) processing units (CPUs) occupied in a calculation relating to at least one of a predicted beam value and a predicted Precoding Matrix Indicator (PMI), and a transmission unit that transmits a report based on the calculation.
  • CSI Channel State Information
  • CPUs Channel State Information processing units
  • PMI Precoding Matrix Indicator
  • FIG. 9 is a diagram illustrating an example of the configuration of a base station according to an embodiment.
  • FIG. 10 is a diagram illustrating an example of the configuration of a user terminal according to an embodiment.
  • FIG. 11 is a diagram illustrating an example of the hardware configuration of a base station and a user terminal according to an embodiment.
  • FIG. 12 is a diagram illustrating an example of a vehicle according to an embodiment.
  • the UE generates (also called determining, calculating, estimating, measuring, etc.) CSI based on a reference signal (RS) (or a resource for the RS) and transmits (also called reporting, feedback, etc.) the generated CSI to a network (e.g., a base station).
  • RS reference signal
  • the CSI may be transmitted to the base station using, for example, an uplink control channel (e.g., a Physical Uplink Control Channel (PUCCH)) or an uplink shared channel (e.g., a Physical Uplink Shared Channel (PUSCH)).
  • PUCCH Physical Uplink Control Channel
  • PUSCH Physical Uplink Shared Channel
  • the RS used to generate the CSI may be, for example, at least one of a Channel State Information Reference Signal (CSI-RS), a Synchronization Signal/Physical Broadcast Channel (SS/PBCH) block, a Synchronization Signal (SS), and a DeModulation Reference Signal (DMRS).
  • CSI-RS Channel State Information Reference Signal
  • SS/PBCH Synchronization Signal/Physical Broadcast Channel
  • SS Synchronization Signal
  • DMRS DeModulation Reference Signal
  • RS Non Zero Power (NZP) CSI-RS, Zero Power (ZP) CSI-RS, CSI Interference Measurement (CSI-IM), CSI-SSB, and SSB
  • NZP Non Zero Power
  • ZP Zero Power
  • CSI-IM CSI Interference Measurement
  • CSI-SSB CSI Interference Measurement
  • SSB SSB
  • CSI-RS may include other reference signals.
  • the information on the CSI resources may include information on CSI resources for channel measurement, information on CSI resources for interference measurement (NZP-CSI-RS resources), information on CSI-IM resources for interference measurement, etc.
  • the reporting amount information may specify any one of the above CSI parameters (e.g., CRI, RI, PMI, CQI, LI, L1-RSRP, etc.) or a combination of these.
  • CSI parameters e.g., CRI, RI, PMI, CQI, LI, L1-RSRP, etc.
  • the report type information may indicate a periodic CSI (Periodic CSI (P-CSI)) report, an aperiodic CSI (A-CSI) report, or a semi-persistent CSI (Semi-Persistent CSI (SP-CSI)) report.
  • P-CSI Period CSI
  • A-CSI aperiodic CSI
  • SP-CSI semi-persistent CSI
  • the UE performs CSI-RS/SSB/CSI-IM measurements based on the CSI resource configuration corresponding to the CSI reporting configuration (the CSI resource configuration associated with CSI-ResourceConfigId) and derives the CSI to be reported based on the measurement results.
  • estimation, prediction, and inference may be interpreted as interchangeable. Also, in this disclosure, estimate, predict, and infer may be interpreted as interchangeable.
  • an AI model may refer to a data-driven algorithm that applies AI techniques to generate a set of outputs based on a set of inputs.
  • autoencoder may be interchangeably referred to as any autoencoder, such as a stacked autoencoder or a convolutional autoencoder.
  • the encoder/decoder of this disclosure may employ models such as Residual Network (ResNet), DenseNet, and RefineNet.
  • encoder encoding, encoding/encoded, modification/alteration/control by an encoder, compressing, compress/compressed, generating, generate/generated, etc. may be read as interchangeable terms.
  • decoder decoding, decode/decoded, modification/alteration/control by a decoder, decompressing, decompress/decompressed, reconstructing, reconstruct/reconstructed, etc.
  • decompressing decompress/decompressed, reconstructing, reconstruct/reconstructed, etc.
  • methods for training an AI model may include supervised learning, unsupervised learning, reinforcement learning, federated learning, and the like.
  • Supervised learning may refer to the process of training a model from inputs and corresponding labels.
  • Unsupervised learning may refer to the process of training a model without labeled data.
  • Reinforcement learning may refer to the process of training a model from inputs (i.e., states) and feedback signals (i.e., rewards) resulting from the model's outputs (i.e., actions) in the environment with which the model interacts.
  • terms such as generate, calculate, derive, etc. may be interchangeable.
  • terms such as implement, operate, operate, execute, etc. may be interchangeable.
  • terms such as train, learn, update, retrain, etc. may be interchangeable.
  • terms such as infer, after-training, production use, actual use, etc. may be interchangeable.
  • terms such as signal and signal/channel may be interchangeable.
  • Figure 1 shows an example of a framework for managing an AI model.
  • each stage related to the AI model is shown as a block.
  • This example is also expressed as life cycle management of an AI model.
  • the data collection stage corresponds to the 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.
  • 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, conversion, etc.), model training/validation, model testing (e.g., checking whether the trained model meets performance thresholds), model exchange (e.g., transferring the model for distributed learning), model deployment/update (deploying/updating the model to the entities that will perform model inference), etc.
  • AI model training may refer to a process for training an AI model in a data-driven manner and obtaining a trained AI model for inference.
  • AI model validation may refer to a sub-process of training to evaluate the quality of an AI model using a dataset different from the dataset used to train the model. This sub-process helps select model parameters that generalize beyond the dataset used to train the model.
  • AI model testing may refer to a sub-process of training to evaluate the performance of the final AI model using a dataset different from the dataset used for model training/validation. Note that testing, unlike validation, does not necessarily require subsequent model tuning.
  • model inference is performed based on the data (inference data) transferred from the collection stage.
  • This stage may include data preparation (e.g., performing data preprocessing, cleaning, formatting, transformation, etc.), model inference, model monitoring (e.g., monitoring the performance of model inference), model performance feedback (feeding back model performance to the entity performing the model training), output (providing model output to the actor), etc.
  • AI model inference may refer to the process of using a trained AI model to produce a set of outputs from a set of inputs.
  • a UE side model may refer to an AI model whose inference is performed entirely in the UE.
  • a network side model may refer to an AI model whose inference is performed entirely in the network (e.g., gNB).
  • a one-sided model may refer to a UE-side model or a network-side model.
  • a two-sided model may refer to a pair of AI models where joint inference is performed.
  • joint inference may include AI inference where the inference is performed jointly across the UE and the network, e.g., a first part of the inference may be performed first by the UE and the remaining part by the gNB (or vice versa).
  • AI model monitoring may refer to the process of monitoring the inference performance of an AI model, and may be interchangeably read as model performance monitoring, performance monitoring, etc.
  • Actor stages 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.
  • 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
  • training of a model for mobility optimization may be performed in, for example, Operation, Administration and Maintenance (Management) (OAM) in a network (NW)/gNodeB (gNB).
  • OAM Operation, Administration and Maintenance
  • NW network
  • gNodeB gNodeB
  • In the former case interoperability, large capacity storage, operator manageability, and model flexibility (feature engineering, etc.) are advantageous.
  • the latency of model updates and the absence of data exchange for model deployment are advantageous.
  • Inference of the above model may be performed in, for example, a gNB.
  • the entity performing the training/inference may be different.
  • the function of the AI model may include beam management, beam prediction, autoencoder (or information compression), CSI feedback, positioning, etc.
  • the OAM/gNB may perform model training and the gNB may perform model inference.
  • the OAM/gNB/UE may perform model training and the gNB/UE may perform model inference (jointly).
  • the OAM/gNB/UE may perform model training and the UE may perform model inference.
  • model activation may mean activating an AI model for a particular function.
  • Model deactivation may mean disabling an AI model for a particular function.
  • Model switching may mean deactivating a currently active AI model for a particular function and activating a different AI model.
  • Model transfer may also refer to distributing an AI model over the air interface. This may include distributing either or both of the parameters of the model structure already known at the receiving end, or a new model with the parameters. This may also include a complete model or a partial model.
  • Model download may refer to model transfer from the network to the UE.
  • Model upload may refer to model transfer from the UE to the network.
  • Beam Prediction As a use case of utilizing the AI model, spatial domain downlink (DL) beam prediction or temporal DL beam prediction using a one-sided AI model in the UE or NW is being considered.
  • DL spatial domain downlink
  • BM Beam Management
  • FIG. 2A and 2B are diagrams showing an example of an AI-based beam report.
  • FIG. 2A shows spatial domain DL beam prediction.
  • the UE may measure a spatially sparse (or thick) beam, input the measurement results, etc., to an AI model, and output a predicted result of the beam quality of a spatially dense (or thin) beam.
  • Figure 2B shows temporal DL beam prediction.
  • the UE may measure the beam over time, input the measurement results, etc., to an AI model, and output a prediction result of the beam quality of the future beam.
  • spatial domain DL beam prediction may be referred to as BM case 1
  • temporal DL beam prediction may be referred to as BM case 2.
  • temporal DL beam prediction may be referred to as, for example, time domain CSI prediction.
  • Candidates for input to the AI model for BM Case 1/2 include L1-RSRP (Layer 1 Reference Signal Received Power), assistance information (e.g., beam shape information, UE position/direction information, transmit beam usage information), Channel Impulse Response (CIR) information, and corresponding DL transmit/receive beam IDs.
  • L1-RSRP Layer 1 Reference Signal Received Power
  • assistance information e.g., beam shape information, UE position/direction information, transmit beam usage information
  • CIR Channel Impulse Response
  • Possible outputs of the AI model for BM Case 1 include the IDs of the top K (K is an integer) transmit/receive beams, the predicted L1-RSRP of these beams, the probability that each beam is in the top K, and the angles of these beams.
  • the candidates for the output of the AI model in BM Case 2 include predicted beam failures.
  • the beam prediction method described above may be similarly applied to PMI prediction.
  • Beam information An example of information for (or related to) beam prediction will be described below. Hereinafter, the information will also be referred to as beam information.
  • the UE may transmit beam information to the network.
  • the beam information may include at least one of the pieces of information described below.
  • the information to be included in the beam information may be notified to the UE by the network, may be specified in a standard, or may be derived from a model used for beam prediction (associated model).
  • the beam information may also be derived from at least one of information notified to the UE by the network without being reported by the UE, values specified in a standard, a model used for beam prediction (associated model), etc.
  • the beam information may include information indicating a resource.
  • the information indicating the resource may be called a resource indicator, a channel resource indicator, etc., and may be, for example, at least one of an SSBRI, a CRI, an SRS resource indicator, etc.
  • the resource indicator may be associated with a time instance/duration (e.g., may be identified by a time instance/duration) as described below.
  • CRI/SSBRI may be interchangeably read as a resource indicator.
  • the beam information may include information indicating the number of resource indicators.
  • the information may indicate the number of resource indicators included in one beam information (which may be referred to as a report instance, etc.).
  • a report instance may be interchangeably read as a beam report, a CSI report, a report, etc.
  • the beam information may include information indicating a capability index for measurement/prediction.
  • the capability index may indicate a panel for a corresponding resource indicator and may be interchangeably read as a panel index, a UE capability value, a UE capability value set, etc.
  • a resource indicator may be interchangeably read as a resource indicator/capability index.
  • the beam information may include information indicating a beam ID.
  • the beam ID may be associated with a beam.
  • the beam ID may be associated with a particular reference signal (e.g., CSI-RS, SSB, SRS, Positioning Reference Signal (PRS)).
  • the beam ID may be associated with a time instance/duration as described below.
  • the beam information may include information indicating the L1-RSRP.
  • the L1-RSRP may correspond to a resource (or may be measured/predicted based on the resource).
  • the L1-RSRP may be associated with a time instance/duration as described below.
  • CSI Calculation Time An example of the CSI calculation time (processing time for non-periodic CSI reporting) will be described.
  • the UE reports the CSI to the base station (gNB).
  • the time difference #1 between the last symbol of the PDCCH that triggers CSI and the first symbol of the PUSCH is greater than or equal to Z symbols.
  • the time difference #2 between the last symbol of the latest aperiodic CSI-RS and the first symbol of the PUSCH is greater than or equal to Z′ symbols.
  • Figure 3 shows examples of conditions for reporting CSI to the base station.
  • the time gaps (Timi gaps) #1 and #2 in (1) and (2) above are shown in Figure 3.
  • (Z, Z') may depend on the CSI computation load.
  • CodebookType is 'typeI-SinglePanel' or reportQuantity is 'cri-RI-CQI' (Condition A)
  • (Z, Z′) (Z 2 , Z 2 ') (see Figure 4B)
  • ⁇ 4B corresponds to beamReportTiming in UE capabilities.
  • KB 1 corresponds to beamSwitchTiming in UE capabilities.
  • ⁇ be min( ⁇ PDCCH , ⁇ CSI-RS , ⁇ UL ).
  • NZP-CSI-RS resource set for channel measurement is an aperiodic K-CSI-RS resource
  • NZP-CSI-RS resource set for channel measurement is aperiodic K CSI-RS resources
  • the UE may determine one of the following options 1 to 3 as the time gap until the CSI report transmission (Z ref , Z′ ref (Z′ ref (n))), where n is the number of the CSI report.
  • the UE may use the calculation time for model inference to determine the timing of transmitting the CSI report and transmit the CSI report at that transmission timing (option 2 or 3).
  • Option 1 Values obtained from the existing CSI calculation delay requirement table (FIG. 4A).
  • the UE may request the addition of calculation time for model inference to the existing CSI calculation time (CSI calculation time without model inference). In other words, the UE may determine the transmission timing of the CSI report based on the time obtained by adding the calculation time for model inference to the existing CSI calculation time.
  • the UE may report additional computation time as a UE capability.
  • the UE may select this capability from among the computation time candidates defined in the specification. If the UE does not report this capability, it may assume the default computation time defined in the specification.
  • Fig. 5 is a diagram showing an example of a CSI calculation delay time.
  • the PUSCH in Fig. 5 is assumed to be a PUSCH for transmitting a CSI report.
  • the time obtained by adding an additional calculation time (calculation time for model inference) to the existing Z and Z' becomes a new CSI calculation delay time.
  • the time obtained by adding the additional calculation time to the existing Z and Z' may be used as the new Z and Z'.
  • Z and Z' in Fig. 5 may be values (Z ref , Z' ref ) defined in the specification of Rel. 17 described later, for example.
  • Option 3 A new value of the CSI calculation delay requirement using AI/ML model inference.
  • the UE may report a capability regarding CSI calculation using AI/ML model inference.
  • the UE may report this capability per AI/ML model or per function of the AI/ML model.
  • the UE shall provide a valid CSI report for the n-th triggered report in the following cases: The case where the first uplink symbol carrying the corresponding CSI report, including the effect of the timing advance, does not start earlier than symbol Z ref . The case where the first uplink symbol carrying the nth CSI report, including the effect of the timing advance, does not start earlier than symbol Z′ ref (n).
  • the last CSI resource is the last CSI resource among the aperiodic CSI-RS resource for channel measurement, the aperiodic CSI-IM for interference measurement, and the aperiodic NZP CSI-RS for interference measurement, when the aperiodic CSI-RS is for channel measurement for the nth triggered CSI report.
  • a UE uses AI technology to predict beam values (e.g., L1-RSRP/SINR) or PMI, the processing time (period until reporting), the number of Channel State Information (CSI) processing units (CPUs) occupied, the number of CSI resources, and the number of CSI-RS ports may differ (e.g., increase) compared to existing processing related to CSI reporting. If these values are not clear, it may not be possible to properly report on the predicted beam/PMI, which may result in a decrease in communication throughput.
  • beam values e.g., L1-RSRP/SINR
  • PMI Physical channels State Information
  • the inventors therefore came up with a method that can properly report on predicted beam/PMI.
  • A/B and “at least one of A and B” may be interpreted as interchangeable.
  • A/B/C may mean “at least one of A, B, and C.”
  • Radio Resource Control RRC
  • RRC parameters RRC parameters
  • RRC messages higher layer parameters, fields, information elements (IEs), settings, etc.
  • IEs information elements
  • CE Medium Access Control
  • update commands activation/deactivation commands, etc.
  • 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 protocols (e.g., NR Positioning Protocol A (NRPPa)/LTE Positioning Protocol (LPP)) messages), or a combination of these.
  • RRC Radio Resource Control
  • MAC Medium Access Control
  • LPP LTE Positioning Protocol
  • the MAC signaling may use, for example, a MAC Control Element (MAC CE), a MAC Protocol Data Unit (PDU), etc.
  • the 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.
  • MIB Master Information Block
  • SIB System Information Block
  • RMSI Remaining Minimum System Information
  • OSI System Information
  • the physical layer signaling may be, for example, Downlink Control Information (DCI), Uplink Control Information (UCI), etc.
  • DCI Downlink Control Information
  • UCI Uplink Control Information
  • index identifier
  • indicator indicator
  • resource ID etc.
  • sequence list, set, group, cluster, subset, etc.
  • TRP
  • CSI includes Channel Quality Indicator (CQI), Precoding Matrix Indicator (PMI), CSI-RS Resource Indicator (CRI), SS/PBCH Block Resource Indicator (SSBRI), Layer Indicator (LI), Rank Indicator (Ra).
  • the CSI may include at least one of the following: L1-nk Indicator (RI), L1-RSRP (Layer 1 Reference Signal Received Power), L1-RSRQ (Reference Signal Received Quality), L1-SINR (Signal to Interference plus Noise Ratio), L1-SNR (Signal to Noise Ratio), information on the channel matrix (or channel coefficients), information on the precoding matrix (or precoding coefficients), etc.
  • the measurements/predictions in this disclosure may be measurements/predictions of these information/values included in the CSI.
  • CSI-RS Non-Zero Power (NZP) CSI-RS, Zero Power (ZP) CSI-RS, and CSI Interference Measurement (CSI-IM) may be interchangeable.
  • CSI-RS may also include other reference signals.
  • CSI may be transmitted on the PUSCH or PUCCH.
  • report UCI, CSI report, CSI feedback, feedback information, feedback bit, CSI feedback method, CSI feedback scheme, beam report, beam reporting scheme, etc. may be read as interchangeable.
  • time instance, timing, time, duration, slot, subslot, symbol, subframe, etc. may be interpreted as interchangeable.
  • estimation, prediction, and inference may be interpreted as interchangeable. Also, in this disclosure, estimate, predict, and infer may be interpreted as interchangeable.
  • the terms beam value and PMI may be interchangeable.
  • the report on the predicted beam value may include, for example, at least one of the predicted L1-RSRP/SINR, the RS resource/beam that is in the top 1 or top K quality (e.g., predicted/measured RSRP/SINR is in the top 1 or top K) among the particular RSs/beams, and the probability that the particular RSs/beam is in the top 1 or top K quality (e.g., predicted/measured RSRP/SINR is in the top 1 or top K) among the particular RSs/beams.
  • the report on the predicted beam value may include the top K predicted RS resources.
  • the top K predicted RS resources may be K RS resources having high predicted RSRP/SINR or top 1 beam probability values among one or more RS resources.
  • the top K predicted RS resources may be referred to as reference resources for determining the measurement RS resources.
  • the RS resources may be read as beams.
  • the report on predicted beam values may include top-K predicted beam probabilities.
  • Top-K predicted beam probabilities may refer to the probability that a predicted RSRP or SINR corresponding to a beam is equal to or greater than the Kth largest predicted RSRP or SINR among the predicted RSRP or SINR corresponding to one or more beams.
  • the predicted beam, predicted PMI, and CSI-RS resource used for prediction may correspond to a CSI reporting configuration (CSI-ReportConfig) in which the codebook type (codebookType) is set to a specific parameter (typeII-Doppler-r18 or typeII-Doppler-PortSelection-r18), and a CSI-RS resource set for channel measurement corresponding to the CSI reporting configuration.
  • the predicted PMI may be the PMI reported when reportQuantity is set to 'cri-RI-PMI-CQI' in the CSI reporting configuration.
  • multiple CSI-RS occasions and multiple CSI-RS resources may be used for beam prediction/PMI prediction.
  • the function (function of the AI model) may be determined based on the conditions/information reported in the UE capability information. The function may be read as a feature.
  • the UE determines a period from the reception timing of the PDCCH or CSI-RS to the transmission timing of a report (e.g., a CSI report) regarding at least one of the predicted beam value and the predicted PMI based on a specific parameter (Z, Z').
  • the UE transmits the report based on the determined period.
  • the predicted beam value/PMI in the present disclosure may be associated with a feature regarding the AI (e.g., a model ID of the AI model used).
  • the UE may send a report on the predicted beam value if the reportQuantity in the CSI reporting configuration is set to a parameter associated with the predicted beam value.
  • the particular parameters (Z, Z') may be, for example, any of the following options 1 to 4:
  • the UE may determine the option (the same or different options) to apply to each of Z and Z' based on the parameters transmitted by higher layer signaling/physical layer signaling and the transmitted UE capability information.
  • the specific parameters (Z, Z') are determined from at least one of the additional values ⁇ , ⁇ ', and values in the existing/new CSI calculation delay requirement table. At least one of the additional values ⁇ , ⁇ ', and values (Z x , Z x ') obtained from the new CSI calculation delay requirement table in each option may be determined by at least one of the following methods (1) to (10).
  • the "value" in the following descriptions (1) to (10) corresponds to at least one of the additional value ⁇ and values (Z x , Z x ') obtained from the new CSI calculation delay requirement table.
  • the value is fixed.
  • the value may be defined in a specification, or may be set/indicated to the UE by higher layer signaling/physical layer signaling.
  • the value depends on a parameter set/indicated to the UE.
  • the UE may determine the value based on a parameter set/indicated by higher layer signaling/physical layer signaling.
  • the parameter may correspond to UE capability information transmitted from the UE.
  • the value varies depending on the UE capabilities (UE capability information).
  • the value varies depending on the number of time instances associated with the predicted beam value/PMI (e.g., the number of slots/symbols associated with the predicted beam value).
  • the value varies depending on the time offset (e.g., slot/symbol offset) between the SSB/CSI-RS resources or RS resource occasions for the associated channel/interference measurement, e.g., the slot offset between the CSI-RS resources or the periodicity of the RS resource occasions.
  • the value varies depending on the time domain operation (e.g., periodic, semi-permanent, aperiodic) of the CSI-RS for channel/interference measurements.
  • the value varies depending on the function (AI model function) related to the report.
  • Values vary based on conditions/information regarding the feature (AI model feature) or model ID associated with the report.
  • the value depends on the predicted time offset, which is described below.
  • the value depends on the assumption/setting of the receive beam for channel/interference measurements.
  • the additional value ⁇ may be proportional to at least one of the slot offset between the multiple CSI-RS resources for channel measurement and the number of time instances associated with the predicted beam value.
  • the additional values ⁇ , ⁇ ' and the values obtained from the new CSI calculation delay requirement table may be determined using different methods (e.g., any of (1) to (10) above) depending on Z or Z'.
  • the UE may apply any of the methods (1) to (10) above depending on the UE capabilities to determine the additional values and the new values obtained from the new CSI calculation delay requirement table.
  • the additional values ⁇ , ⁇ ′ may be computation times for model inference (prediction/inference by AI model).
  • the additional values ⁇ , ⁇ ′ may correspond (e.g., proportional or inversely proportional) to values (Z x , Z x ′) obtained from the existing/new CSI computation delay requirement table.
  • the predicted time offset may be defined as one of the following: Definition 1: The time difference between the time instance related to the prediction (timing of the predicted CSI) and the time instance related to the measurement used for the prediction (CSI measurement timing). Definition 2: The time difference between the time instance associated with the prediction (the timing of the predicted CSI) and the time instance associated with the reporting of the predicted value (the reporting timing of the CSI predicted value).
  • the time instance associated with the prediction (the timing of the predicted CSI) may be, for example, the first/last/middle symbol/slot/subframe of the period, where the predicted value is expressed as a value corresponding to the period.
  • the time instance (CSI measurement timing) associated with the measurement used for prediction may be the first/last/middle symbol/slot/subframe of the particular measurement used for prediction. If measurements at multiple time instances are used for prediction, the particular measurement may be the oldest, latest, or middle measurement.
  • the time instance associated with the reporting of the predicted value (the timing of reporting the CSI predicted value) may be the first/last/middle symbol/slot/subframe of the PUSCH/PUCCH resource carrying the predicted value report.
  • Figure 7 is a diagram showing an example of a predicted time offset.
  • Figure 7 is an example in which definition 2 above is applied.
  • the required CSI calculation time varies depending on various factors (e.g., due to the use of multiple CSI-RS occasions and multiple CSI-RS resources), so it is preferable to be able to appropriately adjust the report timing. According to this embodiment, it is possible to appropriately determine the transmission timing of a report regarding at least one of the predicted beam value and the predicted PMI.
  • the UE supports N CPU concurrent CSI calculations, which means that there are N CPU CSI processing units for processing CSI reports.
  • CSI Channel State Information
  • O CPU number of occupied CPUs
  • O CPU number of occupied CPUs
  • the method for determining the CPU occupancy for measurement/calculation of at least one of the predicted beam value and the predicted PMI is not clear. Unless this is clarified, there is a risk that the CSI transmission timing when performing beam prediction/PMI prediction cannot be appropriately determined.
  • the inventors have come up with a method for appropriately determining the CPU occupancy for CSI measurement/calculation/reporting.
  • the UE performs CSI measurement/calculation on at least one of the predicted beam value and the predicted PMI, and transmits a CSI report based on the measurement/calculation.
  • the UE may determine the value of the CPU occupancy number or the CPU occupancy number per CSI resource in the CSI measurement/calculation/report by at least one of the following methods (1) to (10).
  • the predicted beam value/PMI in the present disclosure may be associated with AI-related features (e.g., the model ID of the AI model used).
  • the CSI processing unit may be interpreted as a processing unit for AI-enabled features, or a CSI processing unit for AI-enabled features.
  • the value is fixed.
  • the value may be defined in a specification, or may be set/indicated to the UE by higher layer signaling/physical layer signaling.
  • the value depends on a parameter set/indicated to the UE.
  • the UE may determine the value based on a parameter set/indicated by higher layer signaling/physical layer signaling.
  • the parameter may correspond to UE capability information transmitted from the UE.
  • the value varies depending on the UE capabilities (UE capability information).
  • the value varies depending on or is proportional to the number of time instances associated with the predicted beam value/PMI (e.g., the number of slots/symbols associated with the predicted beam value).
  • the value varies depending on the time offset (e.g., slot/symbol offset) between the SSB/CSI-RS resources or RS resource occasions for the associated channel/interference measurement, e.g., the slot offset between the CSI-RS resources or the periodicity of the RS resource occasions.
  • the value varies depending on the time domain operation (e.g., periodic, semi-persistent, aperiodic) of the CSI-RS for channel/interference measurements.
  • the value varies depending on the function (AI model function) related to the report.
  • Values vary based on conditions/information regarding the feature (AI model feature) or model ID associated with the report.
  • the value depends on or is proportional to the predicted time offset as described above.
  • the value depends on the assumption/setting of the receive beam for channel/interference measurements.
  • the number of occupied CPUs per CSI resource may be proportional to at least one of the value reported in the UE capability information and the number of time instances associated with the predicted beam value.
  • the number of CPU occupancies may differ from existing CSI reports. According to this embodiment, even when performing beam prediction/PMI prediction, the number of CPU occupancies can be appropriately determined.
  • CSI-RS resource corresponding to a predicted beam/PMI linked to a CSI-RS resource set for channel measurement corresponding to a CSI report configuration (CSI-ReportConfig) in which the codebook type (codebookType) is set to a specific parameter (typeII-Doppler-r18 or typeII-Doppler-PortSelection-r18), it is considered that the CSI-RS resource and the CSI-RS port in the CSI-RS resource are counted KP times.
  • KP is a value reported as UE capability information, and it is considered to be, for example, 1, 2, or 4.
  • the UE When the UE transmits a report on at least one of the predicted beam value and the predicted PMI, the UE counts the number of CSI resources and the number of CSI-RS ports in the CSI-RS resource corresponding to the predicted beam value and the predicted PMI X times.
  • the predicted beam value/PMI in this disclosure may be associated with a feature related to the AI (e.g., a model ID of the AI model used).
  • the UE may determine the value of X by at least one of the following methods (1) to (10).
  • the predicted PMI and CSI-RS resources may correspond to a CSI reporting configuration (CSI-ReportConfig) in which the codebook type (codebookType) is set to a specific parameter (typeII-Doppler-r18 or typeII-Doppler-PortSelection-r18) and a CSI-RS resource set for channel measurement corresponding to the CSI reporting configuration.
  • the predicted PMI may be a PMI reported when reportQuantity is set to 'cri-RI-PMI-CQI' in the CSI reporting configuration.
  • the value is fixed.
  • the value may be defined in a specification, or may be set/indicated to the UE by higher layer signaling/physical layer signaling.
  • the value depends on a parameter set/indicated to the UE.
  • the UE may determine the value based on a parameter set/indicated by higher layer signaling/physical layer signaling.
  • the parameter may correspond to UE capability information transmitted from the UE.
  • the value varies depending on the UE capabilities (UE capability information).
  • the value varies depending on or is proportional to the number of time instances associated with the predicted beam value/PMI (e.g., the number of slots/symbols associated with the predicted beam value).
  • the value varies depending on the time offset (e.g., slot/symbol offset) between the SSB/CSI-RS resources or RS resource occasions for the associated channel/interference measurement, e.g., the slot offset between the CSI-RS resources or the periodicity of the RS resource occasions.
  • the value varies depending on the time domain operation (e.g., periodic, semi-persistent, aperiodic) of the CSI-RS for channel/interference measurements.
  • the value varies depending on the function (AI model function) related to the report.
  • Values vary based on conditions/information regarding the feature (AI model feature) or model ID associated with the report.
  • the value depends on or is proportional to the predicted time offset as described above.
  • the value depends on the assumption/setting of the receive beam for channel/interference measurements.
  • the number of CSI resources and the number of CSI-RS ports in the CSI-RS resources are counted X times.
  • X may be determined based on the UE capability information.
  • the number of CSI resources and the number of CSI-RS ports may be different numbers. Different methods and values may be applied to determine the number of CSI resources and the count number (X) of CSI-RS ports, or the same method and values may be applied.
  • the number of CSI resources and the count number of CSI-RS ports can be appropriately determined.
  • any information may be notified to the UE (from a network (NW) (e.g., a base station (BS))) (in other words, any information is received from the BS by the UE) 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.
  • NW network
  • BS base station
  • the MAC CE may be identified by including in the MAC subheader a new Logical Channel ID (LCID) that is not specified in existing standards.
  • LCID Logical Channel ID
  • the notification When the notification is made by a 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.
  • RNTI Radio Network Temporary Identifier
  • CRC Cyclic Redundancy Check
  • notification of any information to the UE in the above-mentioned embodiments may be performed periodically, semi-persistently, or aperiodically.
  • notification of any information from the UE (to the NW) 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.
  • 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
  • the MAC CE may be identified by including a new LCID in the MAC subheader that is not specified in existing standards.
  • the notification may be transmitted using PUCCH or PUSCH.
  • notification of any information from the UE may be performed periodically, semi-persistently, or aperiodically.
  • At least one of the above-mentioned embodiments may be applied when a specific condition is met, which may be specified in a standard or may be notified to a UE/BS using higher layer signaling/physical layer signaling.
  • At least one of the above-described embodiments may be applied only to UEs that have reported a particular UE capability or that support the particular UE capability. Note that “supporting” and “whether to support” may be interpreted as interchangeable.
  • the specific UE capabilities may indicate at least one of the following: Supporting specific processing/operations/control/information for at least one of the above embodiments; The additional values ⁇ , ⁇ ′ and the values (Z x , Z x ′) obtained from the new CSI calculation delay requirement table in the first embodiment; In the second embodiment, the value of the CPU occupancy number or the CPU occupancy number per CSI resource, The number of CSI resources and the number of CSI-RS ports in the CSI-RS resource in the third embodiment.
  • the above-mentioned specific UE capabilities may be capabilities that are applied across all frequencies (commonly regardless of frequency), capabilities per frequency (e.g., one or a combination of a cell, band, band combination, BWP, component carrier, etc.), capabilities per frequency range (e.g., Frequency Range 1 (FR1), FR2, FR3, FR4, FR5, FR2-1, FR2-2), capabilities per subcarrier spacing (SubCarrier Spacing (SCS)), or capabilities per Feature Set (FS) or Feature Set Per Component-carrier (FSPC).
  • FR1 Frequency Range 1
  • FR2 FR2, FR3, FR4, FR5, FR2-1, FR2-2
  • SCS subcarrier Spacing
  • FS Feature Set
  • FSPC Feature Set Per Component-carrier
  • the above-mentioned specific UE capabilities may be capabilities that are applied across all duplexing methods (commonly regardless of the duplexing method), or may be capabilities for each duplexing method (e.g., Time Division Duplex (TDD) and Frequency Division Duplex (FDD)).
  • TDD Time Division Duplex
  • FDD Frequency Division Duplex
  • At least one of the above-mentioned embodiments may be applied when the UE configures/activates/triggers specific information related to the above-mentioned embodiments (or performs the operations of the above-mentioned embodiments) by higher layer signaling/physical layer signaling.
  • the specific information may be any RRC parameters for a specific release (e.g., Rel. 18/19), etc.
  • the UE may apply, for example, the behavior of Rel. 15/16/17.
  • a control unit that determines a period from a reception timing of a Physical Downlink Control Channel (PDCCH) or a Channel State Information Reference Signal (CSI-RS) to a transmission timing of a report regarding at least one of a predicted beam value and a predicted Precoding Matrix Indicator (PMI) based on a specific parameter; a transmission unit that transmits the report at a transmission timing based on the period; A terminal having the above configuration.
  • PDCCH Physical Downlink Control Channel
  • CSI-RS Channel State Information Reference Signal
  • PMI Precoding Matrix Indicator
  • the control unit determines the specific parameter based on a value in a specific table and an additional value; The terminal of claim 1, wherein the particular table values and additional values vary depending on the number of time instances associated with the predicted beam value or PMI.
  • the control unit determines the specific parameter based on a value in a specific table and an additional value; The terminal of claim 1 or 2, wherein the particular table values and additional values depend on the capabilities of an Artificial Intelligence (AI) model associated with the report.
  • AI Artificial Intelligence
  • the control unit determines the specific parameter based on a value in a specific table and an additional value;
  • CSI Channel State Information
  • PMI Precoding Matrix Indicator
  • Wired communication system A 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 or a combination of the wireless communication methods according to the above embodiments of the present disclosure.
  • FIG. 8 is a diagram showing an example of a schematic configuration of a wireless communication system according to an embodiment.
  • the wireless communication system 1 (which may simply be referred to as system 1) may be a system that realizes communication using Long Term Evolution (LTE) specified by the Third Generation Partnership Project (3GPP), 5th generation mobile communication system New Radio (5G NR), or the like.
  • LTE Long Term Evolution
  • 3GPP Third Generation Partnership Project
  • 5G NR 5th generation mobile communication system New Radio
  • 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.
  • RATs Radio Access Technologies
  • 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.
  • E-UTRA Evolved Universal Terrestrial Radio Access
  • EN-DC E-UTRA-NR Dual Connectivity
  • NE-DC NR-E-UTRA Dual Connectivity
  • the LTE (E-UTRA) base station (eNB) is the master node (MN), and the NR base station (gNB) is the secondary node (SN).
  • the NR base station (gNB) is the MN, and the LTE (E-UTRA) base station (eNB) is the SN.
  • the wireless communication system 1 may support dual connectivity between multiple base stations within the same RAT (e.g., dual connectivity in which both the MN and SN are NR base stations (gNBs) (NR-NR Dual Connectivity (NN-DC))).
  • dual connectivity in which both the MN and SN are NR base stations (gNBs) (NR-NR Dual Connectivity (NN-DC))).
  • gNBs NR base stations
  • N-DC Dual Connectivity
  • 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 arranged within the macrocell C1 and form a small cell C2 that is narrower than the macrocell C1.
  • a user terminal 20 may be located within at least one of the cells. The arrangement and number 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 base station 10.
  • 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 (CC) and dual connectivity (DC).
  • CA carrier aggregation
  • CC component carriers
  • DC dual connectivity
  • Each CC may be included in at least one of a first frequency band (Frequency Range 1 (FR1)) and a second frequency band (Frequency Range 2 (FR2)).
  • Macro cell C1 may be included in FR1
  • small cell C2 may be included in FR2.
  • FR1 may be a frequency band below 6 GHz (sub-6 GHz)
  • FR2 may be a frequency band above 24 GHz (above-24 GHz). Note that the frequency bands and definitions of FR1 and FR2 are not limited to these, and for example, FR1 may correspond to a higher frequency band than FR2.
  • the user terminal 20 may communicate using at least one of Time Division Duplex (TDD) and Frequency Division Duplex (FDD) in each CC.
  • TDD Time Division Duplex
  • FDD Frequency Division Duplex
  • the multiple base stations 10 may be connected by wire (e.g., optical fiber conforming to the Common Public Radio Interface (CPRI), X2 interface, etc.) or wirelessly (e.g., NR communication).
  • wire e.g., optical fiber conforming to the Common Public Radio Interface (CPRI), X2 interface, etc.
  • NR communication e.g., NR communication
  • base station 11 which corresponds to the upper station
  • IAB Integrated Access Backhaul
  • base station 12 which corresponds to a relay station
  • the base station 10 may be connected to the core network 30 via another base station 10 or directly.
  • the core network 30 may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), a Next Generation Core (NGC), etc.
  • EPC Evolved Packet Core
  • 5GCN 5G Core Network
  • NGC Next Generation Core
  • the core network 30 may include network functions (Network Functions (NF)) such as, for example, 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).
  • NF Network Functions
  • UPF User Plane Function
  • AMF Access and Mobility management Function
  • SMF Session Management Function
  • UDM Unified Data Management
  • AF Application Function
  • DN Data Network
  • LMF Location Management Function
  • OAM Operation, Administration and Maintenance
  • the user terminal 20 may be a terminal that supports at least one of the communication methods such as LTE, LTE-A, and 5G.
  • a wireless access method based on Orthogonal Frequency Division Multiplexing may be used.
  • OFDM Orthogonal Frequency Division Multiplexing
  • CP-OFDM Cyclic Prefix OFDM
  • DFT-s-OFDM Discrete Fourier Transform Spread OFDM
  • OFDMA Orthogonal Frequency Division Multiple Access
  • SC-FDMA Single Carrier Frequency Division Multiple Access
  • the radio access method may also be called a waveform.
  • other radio access methods e.g., other single-carrier transmission methods, other multi-carrier transmission methods
  • 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.
  • PDSCH Physical Downlink Shared Channel
  • PBCH Physical Broadcast Channel
  • PDCCH Physical Downlink Control Channel
  • 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)), etc. may be used as an uplink channel.
  • PUSCH Physical Uplink Shared Channel
  • PUCCH Physical Uplink Control Channel
  • PRACH Physical Random Access Channel
  • SIB System Information Block
  • PDSCH User data, upper layer control information, System Information Block (SIB), etc.
  • SIB System Information Block
  • PUSCH User data, upper layer control information, etc.
  • MIB Master Information Block
  • PBCH Physical Broadcast Channel
  • Lower layer control information may be transmitted by the PDCCH.
  • the lower layer control information may include, for example, downlink control information (Downlink Control Information (DCI)) including scheduling information for at least one of the PDSCH and the PUSCH.
  • DCI Downlink Control Information
  • the DCI for scheduling the PDSCH may be called a DL assignment or DL DCI
  • the DCI for scheduling the PUSCH may be called a UL grant or UL DCI.
  • the PDSCH may be interpreted as DL data
  • the PUSCH may be interpreted as UL data.
  • a control resource set (COntrol REsource SET (CORESET)) and a search space may be used to detect the PDCCH.
  • the CORESET corresponds to the resources to search for DCI.
  • the search space corresponds to the search region and search method of PDCCH candidates.
  • One CORESET may be associated with one or multiple search spaces. The UE may monitor the CORESET associated with a search space based on the search space configuration.
  • a 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 setting,” “search space set setting,” “CORESET,” “CORESET setting,” etc. in this disclosure may be read as interchangeable.
  • 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 a scheduling request (SR).
  • UCI uplink control information
  • CSI channel state information
  • HARQ-ACK Hybrid Automatic Repeat reQuest ACKnowledgement
  • ACK/NACK ACK/NACK
  • SR scheduling request
  • the PRACH may transmit a random access preamble for establishing a connection with a cell.
  • downlink, uplink, etc. may be expressed without adding "link.”
  • various channels may be expressed without adding "Physical” to the beginning.
  • a synchronization signal (SS), a downlink reference signal (DL-RS), etc. may be transmitted.
  • 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.
  • 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 PBCH) may be called an SS/PBCH block, an SS Block (SSB), etc.
  • the SS, SSB, etc. may also be called a reference signal.
  • a measurement reference signal Sounding Reference Signal (SRS)
  • a demodulation reference signal DMRS
  • UL-RS uplink reference signal
  • DMRS may also be called a user equipment-specific reference signal (UE-specific Reference Signal).
  • the base station 9 is a diagram showing an example of a 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.
  • the control unit 110, the transceiver unit 120, the transceiver antenna 130, and the transmission line interface 140 may each be provided in one or more units.
  • this example mainly shows the functional blocks of the characteristic parts of this embodiment, and the base station 10 may also be assumed to have other functional blocks necessary for wireless communication. Some of the processing of each part described below may be omitted.
  • the control unit 110 controls the entire base station 10.
  • the control unit 110 can be configured from a controller, a control circuit, etc., which are described based on a common understanding in the technical field to which this disclosure pertains.
  • 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 of communication channels (setting, release, etc.), status management of the base station 10, management of radio resources, etc.
  • 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 composed of 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 a common understanding in the technical field to which the present disclosure relates.
  • the transceiver 120 may be configured as an integrated transceiver, or may be composed of a transmitter and a receiver.
  • the transmitter may be composed of a transmission processing unit 1211 and an RF unit 122.
  • the receiver may be composed of a reception processing unit 1212, an RF unit 122, and a measurement unit 123.
  • the transmitting/receiving antenna 130 can be configured as an antenna described based on common understanding in the technical field to which this disclosure pertains, such as an array antenna.
  • 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.
  • the transceiver 120 may form at least one of the transmit beam and receive beam using digital beamforming (e.g., precoding), analog beamforming (e.g., phase rotation), etc.
  • digital beamforming e.g., precoding
  • analog beamforming e.g., phase rotation
  • the transceiver 120 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 and control information obtained from the control unit 110 to generate a bit string to be transmitted.
  • PDCP Packet Data Convergence Protocol
  • RLC Radio Link Control
  • MAC Medium Access Control
  • HARQ retransmission control HARQ retransmission control
  • the transceiver 120 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.
  • 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.
  • channel coding which may include error correction coding
  • DFT Discrete Fourier Transform
  • IFFT Inverse Fast Fourier Transform
  • the transceiver unit 120 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.
  • the transceiver unit 120 may perform amplification, filtering, demodulation to a baseband signal, etc. on the radio frequency band signal received by the transceiver antenna 130.
  • the transceiver 120 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, and acquire user data, etc.
  • 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, and acquire user data, etc.
  • FFT Fast Fourier Transform
  • IDFT Inverse Discrete Fourier Transform
  • the transceiver 120 may perform measurements on the received signal.
  • 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.
  • RSRP Reference Signal Received Power
  • RSSI Received Signal Strength Indicator
  • the measurement results may be output to the control unit 110.
  • the transmission path interface 140 may transmit and receive signals (backhaul signaling) between devices included in the core network 30 (e.g., network nodes providing 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.
  • devices included in the core network 30 e.g., network nodes providing NF
  • other base stations 10, etc. may acquire and transmit user data (user plane data), control plane data, etc. for the user terminal 20.
  • the transmitting section and receiving section of the base station 10 in this disclosure may be configured with at least one of the transmitting/receiving section 120, the transmitting/receiving antenna 130, and the transmission path interface 140.
  • the control unit 110 may set the period from the reception timing of the Physical Downlink Control Channel (PDCCH) or the Channel State Information Reference Signal (CSI-RS) to the transmission timing of a report regarding at least one of the predicted beam value and the predicted Precoding Matrix Indicator (PMI) based on a specific parameter.
  • PDCCH Physical Downlink Control Channel
  • CSI-RS Channel State Information Reference Signal
  • the transmitting/receiving unit 120 may transmit a period setting based on the specific parameter to the terminal.
  • the transmitting/receiving unit 120 may receive the report transmitted at a transmission timing based on the period.
  • the control unit 110 may set a value for the number of Channel State Information (CSI) processing units (CPUs) occupied in the calculation of at least one of the predicted beam value and the predicted Precoding Matrix Indicator (PMI).
  • CSI Channel State Information
  • CPUs Channel State Information processing units
  • PMI Precoding Matrix Indicator
  • the transceiver 120 may transmit the occupancy value setting to the terminal.
  • the transceiver 120 may receive a report transmitted based on the calculation.
  • the user terminal 10 is a diagram showing an example of the configuration of a user terminal according to an embodiment.
  • the user terminal 20 includes a control unit 210, a transceiver unit 220, and a transceiver antenna 230. Note that the control unit 210, the transceiver unit 220, and the transceiver antenna 230 may each include one or more.
  • this example mainly shows the functional blocks of the characteristic parts of this embodiment, and the user terminal 20 may also be assumed to have other functional blocks necessary for wireless communication. Some of the processing of each part described below may be omitted.
  • the control unit 210 controls the entire user terminal 20.
  • the control unit 210 can be configured from a controller, a control circuit, etc., which are described based on a common understanding in the technical field to which this disclosure pertains.
  • the control unit 210 may control signal generation, mapping, etc.
  • the control unit 210 may control transmission and reception using the transceiver unit 220 and the transceiver antenna 230, measurement, etc.
  • the control unit 210 may generate data, control information, sequences, etc. to be transmitted as signals, and transfer them to the transceiver unit 220.
  • 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 composed of 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 a common understanding in the technical field to which the present disclosure relates.
  • the transceiver unit 220 may be configured as an integrated transceiver unit, or may be composed of a transmission unit and a reception unit.
  • the transmission unit may be composed of a transmission processing unit 2211 and an RF unit 222.
  • the reception unit may be composed of a reception processing unit 2212, an RF unit 222, and a measurement unit 223.
  • the transmitting/receiving antenna 230 can be configured as an antenna described based on common understanding in the technical field to which this disclosure pertains, such as an array antenna.
  • 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.
  • the transceiver unit 220 may form at least one of the transmit beam and receive beam using digital beamforming (e.g., precoding), analog beamforming (e.g., phase rotation), etc.
  • digital beamforming e.g., precoding
  • analog beamforming e.g., phase rotation
  • the transceiver 220 may perform PDCP layer processing, RLC layer processing (e.g., RLC retransmission control), MAC layer processing (e.g., HARQ retransmission control), etc. on the data and control information acquired from the controller 210, and generate a bit string to be transmitted.
  • RLC layer processing e.g., RLC retransmission control
  • MAC layer processing e.g., HARQ retransmission control
  • the transceiver 220 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.
  • 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.
  • Whether or not to apply DFT processing may be based on the settings of transform precoding.
  • the transceiver unit 220 transmission processing unit 2211
  • the transceiver unit 220 may perform DFT processing as the above-mentioned transmission processing in order to transmit the channel using a DFT-s-OFDM waveform, and when transform precoding is not enabled, it is not necessary to perform DFT processing as the above-mentioned transmission processing.
  • the transceiver unit 220 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.
  • the transceiver unit 220 may perform amplification, filtering, demodulation to a baseband signal, etc. on the radio frequency band signal received by the transceiver antenna 230.
  • the transceiver 220 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 to acquire user data, etc.
  • 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 to acquire user data, etc.
  • the transceiver 220 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.
  • 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 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.
  • CSI-IM may be called CSI-Interference Management (IM) or may be interchangeably read as Zero Power (ZP) CSI-RS.
  • CSI-RS, NZP CSI-RS, ZP CSI-RS, CSI-IM, CSI-SSB, etc. may be read as interchangeable.
  • the transmitting unit and receiving unit of the user terminal 20 in this disclosure may be configured by at least one of the transmitting/receiving unit 220 and the transmitting/receiving antenna 230.
  • the control unit 210 may determine the period from the timing of receiving the Physical Downlink Control Channel (PDCCH) or the Channel State Information Reference Signal (CSI-RS) to the timing of transmitting a report regarding at least one of the predicted beam value and the predicted Precoding Matrix Indicator (PMI) based on specific parameters.
  • PDCCH Physical Downlink Control Channel
  • CSI-RS Channel State Information Reference Signal
  • the transceiver unit 220 may transmit the report at a transmission timing based on the period.
  • the control unit 210 may determine the specific parameters based on values in a specific table and additional values.
  • the particular table values and additional values may vary depending on the number of time instances associated with the predicted beam value or PMI.
  • the specific table values and additional values may vary depending on the capabilities of the Artificial Intelligence (AI) model associated with the report.
  • AI Artificial Intelligence
  • values of a particular table and additional values may vary depending on the time difference between the time instance associated with the forecast and the time instance for which the measurement or forecast value used in the forecast is reported (forecast time offset).
  • the control unit 210 may determine a value for the number of Channel State Information (CSI) processing units (CPUs) occupied in the calculation of at least one of the predicted beam value and the predicted Precoding Matrix Indicator (PMI).
  • CSI Channel State Information
  • CPUs Channel State Information processing units
  • PMI Precoding Matrix Indicator
  • the transceiver unit 220 may transmit a report based on the calculation.
  • the control unit 210 may count the number of CSI resources and the number of CSI-RS ports corresponding to the predicted beam value and the predicted PMI.
  • the CPU occupancy values, the CSI resource and CSI-RS port counts may vary depending on the capabilities of the Artificial Intelligence (AI) model associated with the report.
  • AI Artificial Intelligence
  • the values of the CPU occupancy, the CSI resources and the CSI-RS port counts may vary depending on the time difference (prediction time offset) between the time instance related to the prediction and the time instance for which the measurement or predicted value used for the prediction is reported.
  • each functional block may be realized using one device that is physically or logically coupled, or may be realized using two or more devices that are physically or logically separated and directly or indirectly connected (for example, using wires, wirelessly, etc.).
  • the functional blocks may be realized by combining the one device or the multiple devices with software.
  • the functions include, but are not limited to, judgement, determination, judgment, calculation, computation, processing, derivation, investigation, search, confirmation, reception, transmission, output, access, resolution, selection, selection, establishment, comparison, assumption, expectation, deeming, broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, and assignment.
  • a functional block (component) that performs the transmission function may be called a transmitting unit, a transmitter, and the like. In either case, as mentioned above, there are no particular limitations on the method of realization.
  • a base station, a user terminal, etc. in one embodiment of the present disclosure may function as a computer that performs processing of the wireless communication method of the present disclosure.
  • FIG. 11 is a diagram showing an example of the hardware configuration of a base station and a user terminal according to one embodiment.
  • the above-mentioned 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.
  • 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 figures, or may be configured to exclude some of the devices.
  • processor 1001 may be implemented by one or more chips.
  • the functions of the base station 10 and the user terminal 20 are realized, for example, by loading specific software (programs) onto hardware such as the processor 1001 and memory 1002, causing the processor 1001 to perform calculations, control communications via the communication device 1004, and control at least one of the reading and writing of data in the memory 1002 and storage 1003.
  • the processor 1001 operates 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, registers, etc.
  • CPU central processing unit
  • control unit 110 210
  • transmission/reception unit 120 220
  • etc. may be realized by the processor 1001.
  • the processor 1001 also reads out 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 according to these.
  • the programs used are those that cause a computer to execute at least some of the operations described in the above embodiments.
  • the control unit 110 (210) may be realized by a control program stored in the memory 1002 and running on the processor 1001, and similar implementations may be made for other functional blocks.
  • Memory 1002 is a computer-readable recording medium and may be composed of at least one of, for example, Read Only Memory (ROM), Erasable Programmable ROM (EPROM), Electrically EPROM (EEPROM), Random Access Memory (RAM), and other suitable storage media. Memory 1002 may also be called a register, cache, main memory, etc. Memory 1002 can store executable programs (program codes), software modules, etc. for implementing a wireless communication method according to one embodiment of the present disclosure.
  • ROM Read Only Memory
  • EPROM Erasable Programmable ROM
  • EEPROM Electrically EPROM
  • RAM Random Access Memory
  • Memory 1002 may also be called a register, cache, main memory, etc.
  • Memory 1002 can store executable programs (program codes), software modules, etc. for implementing a wireless communication method according to one embodiment of the present disclosure.
  • Storage 1003 is a computer-readable recording medium and may be composed of at least one of a flexible disk, a floppy disk, a magneto-optical disk (e.g., a compact disk (Compact Disc ROM (CD-ROM)), a digital versatile disk, a Blu-ray disk), 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.
  • the communication device 1004 is hardware (transmitting/receiving device) for communicating between computers via at least one of a wired network and a wireless network, and is also called, for example, a network device, a network controller, a network card, a communication module, etc.
  • 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, for example, Frequency Division Duplex (FDD) and Time Division Duplex (TDD).
  • FDD Frequency Division Duplex
  • TDD Time Division Duplex
  • the above-mentioned transmitting/receiving unit 120 (220), transmitting/receiving antenna 130 (230), etc. may be realized by the communication device 1004.
  • the transmitting/receiving unit 120 (220) may be implemented as a transmitting unit 120a (220a) and a receiving unit 120b (220b) that are physically or logically separated.
  • 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 performs output to the outside. Note that the input device 1005 and the output device 1006 may be integrated into one structure (e.g., a touch panel).
  • each device such as the processor 1001 and 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.
  • 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 the hardware.
  • the processor 1001 may be implemented using at least one of these pieces of hardware.
  • a channel, a symbol, and a signal may be read as mutually interchangeable.
  • a signal may also be a message.
  • a reference signal may be abbreviated as RS, and may be called a pilot, a pilot signal, or the like depending on the applied standard.
  • a component carrier may also be called a cell, a frequency carrier, a carrier frequency, or the like.
  • a radio frame may be composed of one or more periods (frames) in the time domain.
  • Each of the one or more periods (frames) constituting a radio frame may be called a subframe.
  • a subframe may be composed of one or more slots in the time domain.
  • a subframe may have a fixed time length (e.g., 1 ms) that is independent of numerology.
  • the numerology may be a communication parameter that is applied to at least one of the transmission and reception of a signal or channel.
  • the numerology may indicate, for example, at least one of the following: SubCarrier Spacing (SCS), bandwidth, symbol length, cyclic prefix length, Transmission Time Interval (TTI), number of symbols per TTI, radio frame configuration, a specific filtering process performed by the transceiver in the frequency domain, a specific windowing process performed by the transceiver in the time domain, etc.
  • SCS SubCarrier Spacing
  • TTI Transmission Time Interval
  • radio frame configuration a specific filtering process performed by the transceiver in the frequency domain
  • a specific windowing process performed by the transceiver in the time domain etc.
  • a slot may consist of one or more symbols in the time domain (such as Orthogonal Frequency Division Multiplexing (OFDM) symbols, Single Carrier Frequency Division Multiple Access (SC-FDMA) symbols, etc.).
  • OFDM Orthogonal Frequency Division Multiplexing
  • SC-FDMA Single Carrier Frequency Division Multiple Access
  • a slot may also be a time unit based on numerology.
  • 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.
  • a radio frame, subframe, slot, minislot, and symbol all represent time units when transmitting a signal.
  • a different name may be used for radio frame, subframe, slot, minislot, and symbol. Note that the time units such as frame, subframe, slot, minislot, and symbol in this disclosure may be read as interchangeable.
  • one subframe may be called a TTI
  • multiple consecutive subframes may be called a TTI
  • one slot or one minislot may be called a TTI.
  • at least one of the subframe and the TTI may be a subframe (1 ms) in existing LTE, a period shorter than 1 ms (e.g., 1-13 symbols), or a period longer than 1 ms.
  • the unit representing the TTI may be called a slot, minislot, etc., instead of a subframe.
  • TTI refers to, for example, the smallest time unit for scheduling in wireless communication.
  • a base station schedules each user terminal by allocating radio resources (such as frequency bandwidth and transmission power that can be used by each user terminal) in TTI units.
  • radio resources such as frequency bandwidth and transmission power that can be used by each user terminal
  • the TTI may be a transmission time unit for a channel-coded data packet (transport block), a code block, a code word, etc., or may be a processing unit for scheduling, link adaptation, etc.
  • the time interval e.g., the number of symbols
  • the time interval in which a transport block, a code block, a code word, etc. is actually mapped may be shorter than the TTI.
  • one or more TTIs may be the minimum time unit of scheduling.
  • the number of slots (minislots) that constitute the minimum time unit of scheduling may be controlled.
  • a TTI having a time length of 1 ms may be called a normal TTI (TTI in 3GPP Rel. 8-12), normal TTI, long TTI, normal subframe, normal subframe, long subframe, slot, etc.
  • a TTI shorter than a normal TTI may be called a shortened TTI, short TTI, partial or fractional TTI, shortened subframe, short subframe, minislot, subslot, slot, etc.
  • 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
  • a short TTI e.g., a shortened TTI, etc.
  • TTI length shorter than the TTI length of a long TTI and equal to or greater than 1 ms.
  • a resource block is a resource allocation unit in the time domain and 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, and may be, for example, 12.
  • the number of subcarriers included in an RB may be determined based on numerology.
  • an RB may include one or more symbols in the time domain and may be one slot, one minislot, one subframe, or one TTI in length.
  • One TTI, one subframe, etc. may each be composed of one or more resource blocks.
  • 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.
  • PRB physical resource block
  • SCG sub-carrier group
  • REG resource element group
  • PRB pair an RB pair, etc.
  • a resource block may be composed of one or more resource elements (REs).
  • REs resource elements
  • one RE may be a radio resource area of one subcarrier and one symbol.
  • a Bandwidth Part 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 an index of the RB relative to a common reference point of the carrier.
  • PRBs may be defined in a BWP and numbered within the BWP.
  • the BWP may include a UL BWP (BWP for UL) and a DL BWP (BWP for DL).
  • BWP UL BWP
  • BWP for DL DL BWP
  • One or more BWPs may be configured for a UE within one carrier.
  • 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.
  • BWP bitmap
  • radio frames, subframes, slots, minislots, and symbols are merely examples.
  • the number of subframes included in a radio frame, the number of slots per subframe or radio frame, the number of minislots included in a slot, the number of symbols and RBs included in a slot or minislot, the number of subcarriers included in an RB, as well as the number of symbols in a TTI, the symbol length, and the cyclic prefix (CP) length can be changed in various ways.
  • the information, parameters, etc. described in this disclosure may be represented using absolute values, may be represented using relative values from a predetermined value, or may be represented using other corresponding information.
  • a radio resource may be indicated by a predetermined index.
  • the names used for parameters and the like in this disclosure are not limiting in any respect. Furthermore, the formulas 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 the various names assigned to these various channels and information elements are not limiting in any respect.
  • the information, signals, etc. described in this disclosure may be represented using any of a variety of different technologies.
  • the 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.
  • 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.
  • Input/output information, signals, etc. may be stored in a specific location (e.g., memory) or may be managed using a management table. Input/output information, signals, etc. may be overwritten, updated, or added to. Output information, signals, etc. may be deleted. Input information, signals, etc. may be transmitted to another device.
  • a specific location e.g., memory
  • Input/output information, signals, etc. may be overwritten, updated, or added to.
  • Output information, signals, etc. may be deleted.
  • Input information, signals, etc. may be transmitted to another device.
  • the notification of information is not limited to the aspects/embodiments described in this disclosure, and may be performed using other methods.
  • the notification of information in this disclosure may be performed by physical layer signaling (e.g., Downlink Control Information (DCI), Uplink Control Information (UCI)), higher layer signaling (e.g., Radio Resource Control (RRC) signaling, broadcast information (Master Information Block (MIB), System Information Block (SIB)), etc.), Medium Access Control (MAC) signaling), other signals, or a combination of these.
  • DCI Downlink Control Information
  • UCI Uplink Control Information
  • RRC Radio Resource Control
  • MIB Master Information Block
  • SIB System Information Block
  • MAC Medium Access Control
  • the physical layer signaling may be called Layer 1/Layer 2 (L1/L2) control information (L1/L2 control signal), L1 control information (L1 control signal), etc.
  • the RRC signaling may be called an RRC message, for example, an RRC Connection Setup message, an RRC Connection Reconfiguration message, etc.
  • the MAC signaling may be notified, for example, using a MAC Control Element (CE).
  • CE MAC Control Element
  • notification of specified information is not limited to explicit notification, but may be implicit (e.g., by not notifying the specified information or by notifying other information).
  • the determination may be based on a value represented by a single bit (0 or 1), a Boolean value represented by true or false, or a comparison of numerical values (e.g., with a predetermined value).
  • 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.
  • Software, instructions, information, etc. may also be transmitted and received via a transmission medium.
  • a transmission medium For example, if the software is transmitted from a website, server, or other remote source using at least one of wired technologies (such as coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL)), and/or wireless technologies (such as infrared, microwave, etc.), then at least one of these wired and wireless technologies is included within the definition of a transmission medium.
  • wired technologies such as coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL)
  • wireless technologies such as infrared, microwave, etc.
  • Network may refer to the devices included in the network (e.g., base stations).
  • the antenna port may be interchangeably read as an antenna port for any signal/channel (e.g., a demodulation reference signal (DMRS) port).
  • the 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.
  • the spatial domain transmission filter may include at least one of a spatial domain transmission filter and a spatial domain reception filter.
  • the above groups 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, etc.
  • CDM Code Division Multiplexing
  • RS Reference Signal
  • CORESET Control Resource Set
  • beam SRS Resource Indicator (SRI), CORESET, CORESET pool, PDSCH, PUSCH, codeword (CW), transport block (TB), RS, etc. may be read as interchangeable.
  • SRI SRS Resource Indicator
  • CORESET CORESET pool
  • PDSCH PUSCH
  • codeword CW
  • TB transport block
  • RS etc.
  • TCI state downlink TCI state
  • DL TCI state downlink TCI state
  • UL TCI state uplink TCI state
  • unified TCI state common TCI state
  • joint TCI state etc.
  • QCL QCL
  • QCL assumptions QCL relationship
  • QCL type information QCL property/properties
  • specific QCL type e.g., Type A, Type D
  • specific QCL type e.g., Type A, Type D
  • index identifier
  • indicator indication, resource ID, etc.
  • sequence list, set, group, cluster, subset, etc.
  • TCI state ID the spatial relationship information identifier
  • TCI state ID the spatial relationship information
  • TCI state the spatial relationship information
  • TCI state the spatial relationship information
  • TCI state the spatial relationship information
  • Base Station may also be referred to by terms such as macrocell, small cell, femtocell, picocell, etc.
  • a base station can accommodate one or more (e.g., three) cells.
  • a base station accommodates multiple cells, the entire coverage area of the base station can be divided into multiple smaller areas, and each smaller area can also provide communication services by a base station subsystem (e.g., a small base station for indoor use (Remote Radio Head (RRH))).
  • RRH Remote Radio Head
  • the term "cell” or “sector” refers to a part or the entire coverage area of at least one of the base station and base station subsystems that provide communication services in this coverage.
  • 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.
  • MS Mobile Station
  • UE User Equipment
  • 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.
  • 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.
  • 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.
  • the moving body in question refers to an object that can move, and the moving speed is arbitrary, and of course includes the case where the moving body is stationary.
  • the moving body in question includes, but is not limited to, vehicles, transport vehicles, automobiles, motorcycles, bicycles, connected cars, excavators, bulldozers, wheel loaders, dump trucks, forklifts, trains, buses, handcarts, rickshaws, ships and other watercraft, airplanes, rockets, artificial satellites, drones, multicopters, quadcopters, balloons, and objects mounted on these.
  • the moving body in question may also be a moving body that moves autonomously based on an operating command.
  • the moving object may be a vehicle (e.g., a car, an airplane, etc.), an unmanned moving object (e.g., a drone, an autonomous vehicle, etc.), or a robot (manned or unmanned).
  • a vehicle e.g., a car, an airplane, etc.
  • an unmanned moving object e.g., a drone, an autonomous vehicle, etc.
  • a robot manned or unmanned
  • at least one of the base station and the mobile station may also include devices that do not necessarily move during communication operations.
  • at least one of the base station and the mobile station may be an Internet of Things (IoT) device such as a sensor.
  • IoT Internet of Things
  • FIG. 12 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, an axle 48, an electronic control unit 49, various sensors (including a current sensor 50, a rotation speed sensor 51, an air pressure sensor 52, a vehicle speed sensor 53, an acceleration sensor 54, an accelerator pedal sensor 55, a brake pedal sensor 56, a shift lever sensor 57, and an object detection sensor 58), an information service unit 59, and a communication module 60.
  • various sensors including a current sensor 50, a rotation speed sensor 51, an air pressure sensor 52, a vehicle speed sensor 53, an acceleration sensor 54, an accelerator pedal sensor 55, a brake pedal sensor 56, a shift lever sensor 57, and an object detection sensor 58
  • an information service unit 59 including a communication module 60.
  • the drive unit 41 is composed of 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 handlebar), and is configured to steer at least one of the front wheels 46 and the rear wheels 47 based on the operation of the steering wheel operated by the user.
  • the electronic control unit 49 is composed of a microprocessor 61, memory (ROM, RAM) 62, and a communication port (e.g., 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).
  • ECU Electronic Control Unit
  • Signals from the various sensors 50-58 include a current signal from a current sensor 50 that senses the motor current, a rotation speed signal of the front wheels 46/rear wheels 47 acquired by a rotation speed sensor 51, an air pressure signal of the front wheels 46/rear wheels 47 acquired by an air pressure sensor 52, a vehicle speed signal acquired by a vehicle speed sensor 53, an acceleration signal acquired by an acceleration sensor 54, a depression amount signal of the accelerator pedal 43 acquired by an accelerator pedal sensor 55, a depression amount signal of the brake pedal 44 acquired by a brake pedal sensor 56, an operation signal of the shift lever 45 acquired by a shift lever sensor 57, and a detection signal for detecting obstacles, vehicles, pedestrians, etc. acquired by an object detection sensor 58.
  • the information service unit 59 is composed of various devices, such as a car navigation system, audio system, speakers, displays, televisions, and radios, for providing (outputting) various information such as driving information, traffic information, and entertainment information, and one or more ECUs that control these devices.
  • the information service unit 59 uses information acquired from external devices via the communication module 60, etc., to provide various information/services (e.g., multimedia information/multimedia services) to the occupants of the vehicle 40.
  • various information/services e.g., multimedia information/multimedia services
  • the information service unit 59 may include input devices (e.g., a keyboard, a mouse, a microphone, a switch, a button, a sensor, a touch panel, etc.) that accept input from the outside, and may also include output devices (e.g., a display, a speaker, an LED lamp, a touch panel, etc.) that perform output to the outside.
  • input devices e.g., a keyboard, a mouse, a microphone, a switch, a button, a sensor, a touch panel, etc.
  • output devices e.g., a display, a speaker, an LED lamp, a touch panel, etc.
  • the driving assistance system unit 64 is composed of various devices that provide functions for preventing accidents and reducing the driver's driving load, such as a millimeter wave radar, a Light Detection and Ranging (LiDAR), a camera, a positioning locator (e.g., a Global Navigation Satellite System (GNSS)), map information (e.g., a High Definition (HD) map, an Autonomous Vehicle (AV) map, etc.), a gyro system (e.g., an Inertial Measurement Unit (IMU), an Inertial Navigation System (INS), etc.), an Artificial Intelligence (AI) chip, and an AI processor, and 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 a driving assistance function or an autonomous driving function.
  • the communication module 60 can communicate with the microprocessor 61 and components of the vehicle 40 via the communication port 63.
  • the communication module 60 transmits and receives data (information) via the communication port 63 between 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 that are provided on the vehicle 40.
  • 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 above-mentioned base station 10 or user terminal 20.
  • the communication module 60 may also be, for example, at least one of the above-mentioned base station 10 and user terminal 20 (it may function as at least one of the base station 10 and user terminal 20).
  • the communication module 60 may transmit at least one of the signals from the various sensors 50-58 described above 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.
  • the PUSCH transmitted by the communication module 60 may include information based on the above input.
  • the communication module 60 receives various information (traffic information, signal information, 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 (or data/information decoded from the PDSCH) received by the communication module 60).
  • the communication module 60 also stores various information received from external devices in memory 62 that can be used by the microprocessor 61. Based on the information stored in 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 on the vehicle 40.
  • the base station in the present disclosure may be read as a user terminal.
  • each aspect/embodiment 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), Vehicle-to-Everything (V2X), etc.).
  • the user terminal 20 may be configured to have the functions of the base station 10 described above.
  • terms such as "uplink” and "downlink” may be read as terms corresponding to terminal-to-terminal communication (for example, "sidelink").
  • the uplink channel, downlink channel, etc. may be read as the sidelink channel.
  • the user terminal in this disclosure may be interpreted as a base station.
  • the base station 10 may be configured to have the functions of the user terminal 20 described above.
  • operations that are described as being performed by a base station may in some cases be performed by its upper node.
  • a network that includes one or more network nodes having base stations, it is clear that various operations performed for communication with terminals 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) or a Serving-Gateway (S-GW)), or a combination of these.
  • MME Mobility Management Entity
  • S-GW Serving-Gateway
  • each aspect/embodiment described in this disclosure may be used alone, in combination, or switched between depending on the implementation.
  • the processing procedures, sequences, flow charts, etc. of each aspect/embodiment described in this disclosure may be rearranged as long as there is no inconsistency.
  • the methods described in this disclosure present elements of various steps in an exemplary order, and are not limited to the particular order presented.
  • LTE Long Term Evolution
  • LTE-A LTE-Advanced
  • LTE-B LTE-Beyond
  • SUPER 3G IMT-Advanced
  • 4th generation mobile communication system 4th generation mobile communication system
  • 5G 5th generation mobile communication system
  • 6G 6th generation mobile communication system
  • xG x is, for example, an integer or decimal
  • Future Radio Access FX
  • GSM Global System for Mobile communications
  • CDMA2000 Code Division Multiple Access
  • UMB Ultra Mobile Broadband
  • IEEE 802.11 Wi-Fi
  • IEEE 802.16 WiMAX (registered trademark)
  • IEEE 802.20 Ultra-Wide Band (UWB), Bluetooth (registered trademark), and other appropriate wireless communication methods, as well as next-generation systems that are expanded, modified, created
  • 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.”
  • any reference to an element using a designation such as "first,” “second,” etc., used in this disclosure 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 second element does not imply that only two elements may be employed or that the first element must precede the second element in some way.
  • determining 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 in a table, database, or other data structure), ascertaining, etc.
  • Determining may also be considered to mean “determining” receiving (e.g., receiving information), transmitting (e.g., sending information), input, output, accessing (e.g., accessing data in a memory), etc.
  • judgment (decision) may be considered to mean “judging (deciding)” resolving, selecting, choosing, establishing, comparing, etc.
  • judgment (decision) may be considered to mean “judging (deciding)” some kind of action.
  • judgment (decision) may be read as interchangeably with the actions described above.
  • expect may be read as “be expected”.
  • "expect(s) " ("" may be expressed, for example, as a that clause, a to infinitive, etc.) may be read as “be expected !.
  • "does not expect " may be read as "be not expected ".
  • "An apparatus A is not expected " may be read as "An apparatus B other than apparatus A does not expect " (for example, if apparatus A is a UE, apparatus B may be a base station).
  • the "maximum transmit power" referred to in this disclosure may mean the maximum value of transmit power, may mean the nominal UE maximum transmit power, or may mean the rated UE maximum transmit power.
  • connection refers 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 the elements may be physical, logical, or a combination thereof. For example, “connected” may be read as "access.”
  • 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 “combined” may also be interpreted in the same way as “different.”
  • timing, time, duration, time instance, any time unit e.g., slot, subslot, symbol, subframe
  • period occasion, resource, etc.

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

Abstract

Un terminal selon un aspect de la présente divulgation est caractérisé en ce qu'il comprend : une unité de commande qui détermine une valeur de comptage d'occupation pour une unité de traitement (CPU) d'informations d'état de canal (CSI) dans un calcul associé à une valeur de faisceau à prédire et/ou à un indicateur de matrice de précodage (PMI) à prédire ; et une unité de transmission qui transmet un rapport sur la base du calcul. Selon un aspect de la présente divulgation, un rapport relatif au faisceau/PMI à prédire peut être émis de manière appropriée.
PCT/JP2023/028457 2023-08-03 2023-08-03 Terminal, procédé de communication sans fil, et station de base Pending WO2025027855A1 (fr)

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Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2023/028457 WO2025027855A1 (fr) 2023-08-03 2023-08-03 Terminal, procédé de communication sans fil, et station de base

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WO2025027855A1 true WO2025027855A1 (fr) 2025-02-06

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2022517205A (ja) * 2019-01-09 2022-03-07 富士通株式会社 チャネル状態情報の測定目的の指示方法、装置及び通信システム
WO2023012999A1 (fr) * 2021-08-05 2023-02-09 株式会社Ｎｔｔドコモ Terminal, procédé de communication sans fil et station de base

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2022517205A (ja) * 2019-01-09 2022-03-07 富士通株式会社 チャネル状態情報の測定目的の指示方法、装置及び通信システム
WO2023012999A1 (fr) * 2021-08-05 2023-02-09 株式会社Ｎｔｔドコモ Terminal, procédé de communication sans fil et station de base

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Title
MIN ZHU, CATT: "Remaining issues on CSI enhancement", 3GPP DRAFT; R1-2304707; TYPE DISCUSSION; NR_MIMO_EVO_DL_UL-CORE, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES ; F-06921 SOPHIA-ANTIPOLIS CEDEX ; FRANCE, vol. RAN WG1, no. Incheon, KR; 20230522 - 20230526, 15 May 2023 (2023-05-15), Mobile Competence Centre ; 650, route des Lucioles ; F-06921 Sophia-Antipolis Cedex ; France, XP052310163 *
PATRICK MERIAS, MODERATOR (APPLE): "Final summary on other aspects of AI/ML for CSI enhancement", 3GPP DRAFT; R1-2306047; TYPE DISCUSSION; FS_NR_AIML_AIR, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES ; F-06921 SOPHIA-ANTIPOLIS CEDEX ; FRANCE, vol. RAN WG1, no. Incheon, KR; 20230522 - 20230526, 26 May 2023 (2023-05-26), Mobile Competence Centre ; 650, route des Lucioles ; F-06921 Sophia-Antipolis Cedex ; France, XP052378677 *
ZHENGXUAN LIU, XIAOMI: "Further discussion on CSI enhancement for high/medium UE velocities and CJT", 3GPP DRAFT; R1-2304875; TYPE DISCUSSION; NR_MIMO_EVO_DL_UL-CORE, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES ; F-06921 SOPHIA-ANTIPOLIS CEDEX ; FRANCE, vol. RAN WG1, no. Incheon, KR; 20230522 - 20230526, 15 May 2023 (2023-05-15), Mobile Competence Centre ; 650, route des Lucioles ; F-06921 Sophia-Antipolis Cedex ; France, XP052310330 *

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