Method and apparatus for CSI reporting

Abstract

A method according to an embodiment of the present specification comprises the steps of: receiving a reporting configuration related to CSI; and reporting the CSI. The reporting configuration comprises i) information on a first CSI resource configuration related to prediction, and ii) information on a second CSI resource configuration related to measurement. The CSI comprises i) information on at least one RS resource index among RS resource indexes based on the first CSI resource configuration, and / or ii) at least one RSRP related to the at least one RS resource index.

Description

Method and device for CSI reporting

[0001] This specification relates to a method and apparatus for CSI reporting.

[0002] Mobile communication systems were developed to provide voice services while ensuring user activity. However, they have expanded beyond voice to include data services. Currently, explosive growth in traffic is leading to resource shortages and users are demanding faster services, necessitating a more advanced mobile communication system.

[0003] Next-generation mobile communication systems must support explosive data traffic growth, dramatically increasing data rates per user, a vastly increased number of connected devices, ultra-low end-to-end latency, and high energy efficiency. To achieve these goals, various technologies are being studied, including dual connectivity, massive multiple input multiple output (MIMO), in-band full duplex, non-orthogonal multiple access (NOMA), super wideband support, and device networking.

[0004] In Rel-18 AI / ML SI, studies were conducted on how to utilize AI / ML technologies in three areas: CSI prediction, beam prediction, and positioning. In Rel-19 AI / ML WI, standardization is being discussed in the areas of beam management and positioning. In particular, in beam management, sub-use cases were defined for spatial domain DL Tx beam prediction and temporal DL Tx beam prediction. Both NW-side AI / ML and UE-side AI / ML are considered for each sub-use case.

[0005] In the inference operation of NW sided AI / ML (NW-sided model) and UE sided AI / ML (UE-sided model), it is necessary to define a method for setting Set B, which can be input data, and Set A, which is a target for prediction through the model. Specifically, in the reporting operation related to Set A and Set B, it is necessary to determine whether Set A and Set B will be set / defined based on an existing defined framework or based on a new framework.

[0006] The purpose of this specification is to propose settings for reporting based on the above Set A and Set B and the information reported according to those settings.

[0007] The technical problems to be achieved in this specification are not limited to the technical problems mentioned above, and other technical problems not mentioned can be clearly understood by a person having ordinary skill in the technical field to which this specification pertains from the description below.

[0008] A method according to one embodiment of the present disclosure includes the steps of receiving a report configuration related to channel state information (CSI) and reporting the CSI.

[0009] The above reporting configuration includes i) information about a first CSI resource configuration related to prediction and ii) information about a second CSI resource configuration related to measurement.

[0010] The above CSI is characterized in that it includes i) information on at least one RS resource index among RS resource indices based on the first CSI resource setting and / or ii) at least one Reference Signal Received Power (RSRP) related to the at least one RS resource index.

[0011] The information regarding the first CSI resource configuration may be based on the first CSI resource configuration ID. The information regarding the second CSI resource configuration may be based on the second CSI resource configuration ID.

[0012] The second CSI resource configuration may include one or more second CSI resource configurations associated with the first CSI resource configuration.

[0013] The first CSI resource configuration may include one or more first CSI resource configurations. The second CSI resource configuration may include one or more second CSI resource configurations associated with each first CSI resource configuration.

[0014] The at least one RSRP may be at least one predicted RSRP.

[0015] The at least one RSRP may be at least one measured RSRP.

[0016] The at least one RS resource index may belong to the first CSI resource configuration and the second CSI resource configuration.

[0017] The RS resource indices based on the second CSI resource configuration may be based on a subset of the RS resource indices based on the first CSI resource configuration.

[0018] The RS resource indices based on the above second CSI resource configuration may be different from the RS resource indices based on the above first CSI resource configuration.

[0019] The at least one RS resource index may include at least one of i) an RS resource index associated with a largest predicted RSRP, ii) one or more RS resource indices associated with the RS resource index, and / or iii) one or more RS resource indices indicated by the base station.

[0020] A terminal according to another embodiment of the present disclosure includes one or more transceivers, one or more processors, and one or more memories connected to the one or more processors and storing instructions.

[0021] The above instructions are characterized in that they cause the terminal to perform all steps of any one of the above methods based on being executed by the one or more processors.

[0022] According to another embodiment of the present disclosure, a device comprises one or more memories and one or more processors connected to the one or more memories. The one or more memories are characterized in that they store instructions that cause the device to perform all steps of any one of the above methods based on instructions executed by the one or more processors.

[0023] A non-transitory computer-readable storage medium according to another embodiment of the present disclosure stores instructions. The instructions, executable by one or more processors, are characterized in that they cause a terminal to perform all steps of any one of the above methods.

[0024] A method according to another embodiment of the present disclosure includes the steps of transmitting a report configuration related to channel state information (CSI) and receiving the CSI.

[0025] The above reporting configuration includes i) information about a first CSI resource configuration related to prediction and ii) information about a second CSI resource configuration related to measurement.

[0026] The above CSI is characterized in that it includes i) information on at least one RS resource index among RS resource indices based on the first CSI resource setting and / or ii) at least one Reference Signal Received Power (RSRP) related to the at least one RS resource index.

[0027] A base station according to another embodiment of the present disclosure includes one or more transceivers, one or more processors, and one or more memories coupled to the one or more processors and storing instructions.

[0028] The above instructions are characterized in that they cause the base station to perform all steps of the method based on being executed by the one or more processors.

[0029] According to an embodiment of the present specification, a reporting configuration related to CSI includes information regarding a first CSI resource configuration related to prediction and information regarding a second CSI resource configuration related to measurement. Since Set A / Set B are defined / configured based on the existing CSI framework, the implementation complexity required to support measurement / reporting for model-based beam management can be minimized.

[0030] According to an embodiment of the present specification, the CSI includes i) information on at least one RS resource index based on the first CSI resource configuration and / or ii) at least one RSRP associated with the at least one RS resource index. Accordingly, ambiguity regarding information that must be reported for model-based beam management can be resolved.

[0031] According to embodiments of the present disclosure, the at least one RSRP may be based on at least one predicted RSRP or at least one measured RSRP. Accordingly, by considering the relationship between Set A and Set B, information most suitable for supporting various scenarios related to beam prediction (e.g., terminal-side model-based inference and / or network-side model-based inference) may be reported.

[0032] The effects that can be obtained from this specification are not limited to the effects mentioned above, and other effects that are not mentioned can be clearly understood by a person having ordinary skill in the technical field to which this specification belongs from the description below.

[0033] Figure 1 is a flowchart showing an example of a CSI-related procedure.

[0034] Figure 2 illustrates the functional framework of the AI / ML model.

[0035] FIG. 3 illustrates an example of a CSI reporting setting according to an embodiment of the present specification.

[0036] FIG. 4 illustrates another example of a CSI reporting configuration according to an embodiment of the present specification.

[0037] FIG. 5 is a flowchart illustrating a method according to one embodiment of the present specification.

[0038] FIG. 6 is a flowchart illustrating a method according to another embodiment of the present specification.

[0039] FIG. 7 is a drawing showing the configuration of a first device and a second device according to an embodiment of the present specification.

[0040] Hereinafter, preferred embodiments according to the present disclosure will be described in detail with reference to the accompanying drawings. The detailed description set forth below, together with the accompanying drawings, is intended to illustrate exemplary embodiments of the present disclosure and is not intended to represent the only embodiments in which the present disclosure may be implemented. The following detailed description includes specific details to provide a thorough understanding of the present disclosure.

[0041] Hereinafter, downlink (DL) refers to communication from a base station to a terminal, and uplink (UL) refers to communication from a terminal to a base station. In downlink, a transmitter may be part of a base station, and a receiver may be part of a terminal. In uplink, a transmitter may be part of a terminal, and a receiver may be part of a base station. A base station may be expressed as a first communication device, and a terminal may be expressed as a second communication device. A base station (BS) may be replaced by terms such as a fixed station, Node B, eNB (evolved-NodeB), gNB (Next Generation NodeB), BTS (base transceiver system), access point (AP: Access Point), network (5G network), AI system, RSU (road side unit), vehicle, robot, drone (Unmanned Aerial Vehicle, UAV), AR (Augmented Reality) device, VR (Virtual Reality) device, etc. In addition, the terminal may be fixed or mobile, and may be replaced with terms such as UE (User Equipment), MS (Mobile Station), UT (user terminal), MSS (Mobile Subscriber Station), SS (Subscriber Station), AMS (Advanced Mobile Station), WT (Wireless terminal), MTC (Machine-Type Communication) device, M2M (Machine-to-Machine) device, D2D (Device-to-Device) device, vehicle, robot, AI module, drone (Unmanned Aerial Vehicle, UAV), AR (Augmented Reality) device, VR (Virtual Reality) device, etc.

[0042] < Beam Management (BM) >

[0043] BM procedures are L1 (layer 1) / L2 (layer 2) procedures for acquiring and maintaining a set of base station (e.g., gNB, TRP, etc.) and / or terminal (e.g., UE) beams that can be used for downlink (DL) and uplink (UL) transmission / reception, and may include the following procedures and terminology.

[0044] - Beam measurement: An operation in which a base station or UE measures the characteristics of a received beam-forming signal.

[0045] - Beam determination: An operation in which a base station or UE selects its own transmit beam (Tx beam) / receive beam (Rx beam).

[0046] - Beam sweeping: The operation of covering a spatial area using a transmit and / or receive beam over a predetermined time interval in a predetermined manner.

[0047] - Beam report: An operation in which a UE reports information about a beam-formed signal based on beam measurement.

[0048] The BM procedure can be divided into (1) a DL BM procedure using SS (synchronization signal) / PBCH (physical broadcast channel) Block or CSI-RS, and (2) a UL BM procedure using SRS (sounding reference signal).

[0049] Additionally, each BM procedure may include Tx beam sweeping to determine the Tx beam and Rx beam sweeping to determine the Rx beam.

[0050] DL BM

[0051] The DL BM procedure may include (1) transmission of beamformed DL RSs (reference signals) (e.g., CSI-RS or SS Block (SSB)) of the base station and (2) beam reporting of the terminal.

[0052] Here, beam reporting may include preferred DL RS ID(identifier)(s) and corresponding L1-RSRP (Reference Signal Received Power).

[0053] The above DL RS ID may be an SSBRI (SSB Resource Indicator) or a CRI (CSI-RS Resource Indicator).

[0054] An example of beamforming using SSB and CSI-RS is described in detail below.

[0055] Both SSB and CSI-RS beams can be used for beam measurement. The measurement metric is L1-RSRP per resource / block. SSB is used for coarse beam measurement, and CSI-RS can be used for fine beam measurement. SSB can be used for both Tx beam sweeping and Rx beam sweeping.

[0056] Rx beam sweeping using SSB can be performed by the UE changing the Rx beam for the same SSBRI across multiple SSB bursts, where one SS burst contains one or more SSBs, and one SS burst set contains one or more SSB bursts.

[0057] Below we will look at the DL BM procedure.

[0058] The configuration for beam report using SSB is performed during CSI / beam configuration in RRC connected state (or RRC connected mode).

[0059] - The terminal receives configuration information from the base station. As a specific example, the terminal receives a CSI-ResourceConfig IE containing a CSI-SSB-ResourceSetList containing SSB resources used for BM from the base station.

[0060] Table 1 shows an example of the CSI-ResourceConfig IE. As shown in Table 1, BM configuration using SSB is not defined separately, and SSB is configured as a CSI-RS resource.

[0061]

[0062] In Table 1, the csi-SSB-ResourceSetList parameter indicates a list of SSB resources used for beam management and reporting in a single CSI-RS resource set. Here, the SSB resource set can be set to {SSBx1, SSBx2, SSBx3, SSBx4, …}. For example, the SSB index can be defined from 0 to 63.

[0063] - The terminal receives a downlink reference signal (DL RS) from the base station. As a specific example, the terminal receives an SSB resource from the base station based on the CSI-SSB-ResourceSetList.

[0064] - The terminal transmits a beam report to the base station. For example, if CSI-ReportConfig related to reporting on SSBRI (SSB Resource Indicator) and L1-RSRP is set, the terminal reports the best SSBRI and its corresponding L1-RSRP to the base station.

[0065] That is, when the reportQuantity of the above CSI-ReportConfig IE is set to 'ssb-Index-RSRP', the terminal reports the best SSBRI and the corresponding L1-RSRP to the base station.

[0066] And, if the terminal sets the CSI-RS resource in the same OFDM symbol(s) as the SSB (SS / PBCH Block) and 'QCL-TypeD' is applicable, the terminal can assume that the CSI-RS and SSB are quasi co-located from the 'QCL-TypeD' perspective.

[0067] Here, the QCL TypeD may mean that the antenna ports are QCL-connected from a spatial Rx parameter perspective. When a terminal receives multiple DL antenna ports in a QCL Type D relationship, the same reception beam may be applied. In addition, the terminal does not expect the CSI-RS to be configured in an RE that overlaps with the SSB RE.

[0068] < CSI-related actions >

[0069] Figure 1 is a flowchart showing an example of a CSI-related procedure.

[0070] Referring to Fig. 1, in order to perform one of the purposes of CSI-RS, a terminal (e.g., user equipment, UE) receives configuration information related to CSI from a base station (e.g., general Node B, gNB) through RRC (radio resource control) signaling (S110).

[0071] The configuration information related to the above CSI may include at least one of CSI-IM (interference management) resource related information, CSI measurement configuration related information, CSI resource configuration related information, CSI-RS resource related information, or CSI report configuration related information.

[0072] CSI resource configuration related information can be expressed as CSI-ResourceConfig IE. The CSI resource configuration related information defines a group including at least one of a non-zero power (NZP) CSI-RS resource set, a CSI-IM resource set, or a CSI-SSB resource set. That is, the CSI resource configuration related information includes a CSI-RS resource set list, and the CSI-RS resource set list can include at least one of an NZP CSI-RS resource set list, a CSI-IM resource set list, or a CSI-SSB resource set list. A CSI-RS resource set is identified by a CSI-RS resource set ID, and one resource set includes at least one CSI-RS resource. Each CSI-RS resource is identified by a CSI-RS resource ID.

[0073] Information related to the CSI report configuration includes a reportConfigType parameter indicating a time domain behavior and a reportQuantity parameter indicating a CSI-related quantity to be reported. The time domain behavior may be periodic, aperiodic, or semi-persistent.

[0074] The above reportQuantity parameter may be related to at least one of a channel quality indicator (CQI), a precoding matrix indicator (PMI), a CSI-RS resource indicator (CRI), an SSB resource block indicator (SSBRI), a layer indicator (LI), a rank indicator (RI), and a layer 1-reference signal received strength (L1-Reference Signal Received Strength (RSRP).

[0075] Measurement resources may include configurations for downlink signals and / or downlink resources on which a terminal will perform measurements to determine feedback information. Measurement resources may be configured as ZP and / or NZP CSI-RS resource sets associated with CSI reporting configurations. The NZP CSI-RS resource set may include a CSI-RS set or an SSB set. For example, L1-RSRP may be measured for a CSI-RS set or an SSB set.

[0076] The terminal measures CSI based on configuration information related to the CSI (S120). The CSI measurement may include (1) a process of receiving a CSI-RS by the terminal (S121) and (2) a process of calculating CSI using the received CSI-RS (S122). The terminal reports the CSI to the base station (S130).

[0077] Resource setting

[0078] Each CSI resource setting 'CSI-ResourceConfig' contains a configuration for S≥1 CSI resource sets (given by the higher layer parameter csi-RS-ResourceSetList). A CSI resource setting corresponds to a CSI-RS-resourcesetlist, where S represents the number of configured CSI-RS resource sets. Wherein, the list of S≥1 CSI resource sets contains either or both of NZP CSI-RS resource set(s) and SS / PBCH block (SSB) set(s) used for L1-RSRP computation, or contains CSI-IM resource set(s).

[0079] One or more CSI resource settings for channel measurement (CM) and interference measurement (IM) are configured via higher layer signaling.

[0080] - CSI-IM resource for interference measurement.

[0081] - NZP CSI-RS resources for interference measurement.

[0082] - NZP CSI-RS resources for channel measurement.

[0083] That is, the CMR (channel measurement resource) can be NZP CSI-RS for CSI acquisition, and the IMR (Interference measurement resource) can be NZP CSI-RS for CSI-IM and IM.

[0084] Here, CSI-IM (or ZP CSI-RS for IM) is mainly used for inter-cell interference measurement.

[0085] And, NZP CSI-RS for IM is mainly used for intra-cell interference measurement from multi-user.

[0086] A UE may assume that the CSI-RS resource(s) configured for channel measurement for one CSI reporting and the CSI-IM / NZP CSI-RS resource(s) for interference measurement (when NZP CSI-RS resource(s) are used for interference measurement) are in a QCL relationship with respect to 'QCL-TypeD' per resource.

[0087] As we have seen, resource setting can mean a resource set list.

[0088] For aperiodic CSI, each trigger state set using the higher layer parameter CSI-AperiodicTriggerState is associated with one or more CSI-ReportConfigs, and each CSI-ReportConfig is linked to a periodic or semi-persistent or aperiodic resource setting.

[0089] One reporting setting can be linked to up to three resource settings.

[0090] < Description of Rel-17 / 18 beam management >

[0091] In Rel-17, both the DL TCI state and the UL TCI state can be indicated through DL DCI (e.g., DCI format 1-1 or 1-2), or only the UL TCI state can be indicated without indicating the DL TCI state. Therefore, the methods used for UL beam and power control (PC) configuration in the existing R15 / R16 are replaced in Rel-17 with the above UL TCI state indication method. More specifically, in R17, one UL TCI state can be indicated through the TCI field of DL DCI, and the UL TCI state is applied to all PUSCHs and all PUCCHs after a certain time called the beam application time, and can be applied to some or all of the indicated SRS resource sets. In addition, the base station can perform a terminal common beam update by using DCI and / or MAC-CE to perform indication / update with one beam in common (using a joint or separate TCI state) for specific DL / UL channel / RS combinations of multiple terminals. The target channels / RS of common beam update include UE-dedicated CORESET, UE-dedicated reception on PDSCH for DL, DG / CG-PUSCH, all or a subset of dedicated PUCCH for UL, and additionally, AP CSI-RS for tracking / BM, SRS can be set as target channels / RS.In Rel-18, considering the M-TRP environment, the method of indicating multiple UL TCI states (and / or DL ​​TCI states) through the TCI field of DL DCI has been standardized, and the uplink / downlink resources to which multiple indicated TCIs are applied can be defined / configured depending on the S-DCI based M-TRP environment and the M-DCI based M-TRP environment.

[0092] < AIML related explanation >

[0093] Advances in AI / ML (Artificial intelligence / machine learning) technology are leading to the intelligence / advanced advancement of the nodes and terminals that make up wireless communication networks.

[0094] Below, a functional framework for AI operation is described with reference to FIG. 2.

[0095] Figure 2 illustrates the functional framework of the AI / ML model.

[0096] Below, to explain AI (or AI / ML) more specifically, the terms can be defined as follows.

[0097] - Data collection: Data collected from network nodes, management entities, or UEs as a basis for AI model training, data analysis, and inference.

[0098] - AI Model: A data-driven algorithm that applies AI technology to generate a set of outputs containing predictive information and / or decision parameters based on a set of inputs.

[0099] - AI / ML Training: An online or offline process of training an AI model by learning features and patterns that best represent the data and obtain a trained AI / ML model for inference.

[0100] - AI / ML Inference: The process of making predictions or inducing decisions based on collected data and the AI ​​model using a trained AI model.

[0101] Referring to FIG. 2, the data collection function (10) is a function that collects input data and provides processed input data to the model training function (20) and the model inference function (30).

[0102] Examples of input data may include measurements from UEs or other network entities, feedback from actors, and output from AI models.

[0103] The Data Collection function (10) performs data preparation based on input data and provides input data processed through data preparation. Here, the Data Collection function (10) does not perform data preparation specific to each AI algorithm (e.g., data pre-processing and cleaning, formatting, and transformation), but can perform data preparation common to AI algorithms.

[0104] After the data preparation process is performed, the Model Training function (10) provides training data (11) to the Model Training function (20) and provides inference data (Inference Data) (12) to the Model Inference function (30). Here, the Training Data (11) is data required as input for the AI ​​Model Training function (20). The Inference Data (12) is data required as input for the AI ​​Model Inference function (30).

[0105] The Data Collection function (10) may be performed by a single entity (e.g., UE, RAN node, network node, etc.) or may be performed by multiple entities. In this case, Training Data (11) and Inference Data (12) may be provided to the Model Training function (20) and Model Inference function (30), respectively, from multiple entities.

[0106] The Model Training function (20) is a function that performs AI model training, validation, and testing, which can generate model performance metrics as part of the AI ​​model testing process. If necessary, the Model Training function (20) also handles data preparation (e.g., data pre-processing and cleaning, forming, and transformation) based on the Training Data (11) provided by the Data Collection function (10).

[0107] Here, Model Deployment / Update (13) is used to initially deploy the trained, verified, and tested AI model to the Model Inference function (30) or to provide the updated model to the Model Inference function (30).

[0108] The Model Inference function (30) is a function that provides AI model inference output (16) (e.g., prediction or decision). If applicable, the Model Inference function (30) may provide model performance feedback (14) to the Model Training function (20). In addition, the Model Inference function (30) is also responsible for data preparation (e.g., data pre-processing and cleaning, forming, and transformation) based on the Inference Data (12) provided by the Data Collection function (10), if necessary.

[0109] Here, Output (16) refers to the inference output of the AI ​​model generated by the Model Inference function (30), and the details of the inference output may vary depending on the use case.

[0110] Model Performance Feedback (14) can be used to monitor the performance of the AI ​​model if available, and this feedback may be omitted.

[0111] The actor function (40) is a function that receives the output (16) from the model inference function (30) and triggers or performs a corresponding task / action. The actor function (40) can trigger tasks / actions for other entities (e.g., one or more UEs, one or more RAN nodes, one or more network nodes, etc.) or for itself.

[0112] Feedback (15) can be used to derive training data (11), inference data (12), or to monitor the performance of the AI ​​model, its impact on the network, etc.

[0113] Meanwhile, the definitions of training / validation / test in the data set used in AI / ML can be distinguished as follows.

[0114] - Training data: This refers to the data set for learning the model.

[0115] - Validation data: This refers to a data set used to validate a model that has already completed training. In other words, it refers to a data set typically used to prevent overfitting of the training data set.

[0116] It also refers to a data set for selecting the best model among the various models learned during the learning process. Therefore, it can be viewed as a type of learning.

[0117] - Test data: This refers to the data set for final evaluation. This data is unrelated to learning.

[0118] In the case of the above data set, if the training set is generally divided, the training data and validation data can be divided and used in a ratio of 8:2 or 7:3 within the entire training set, and if the test is included, it can be divided and used in a ratio of 6:2:2 (training: validation: test).

[0119] The functions exemplified in FIG. 2 above may be implemented in a RAN node (e.g., a base station, a TRP, a central unit (CU) of a base station, etc.), a network node, an operation administration maintenance (OAM) of a network operator, or a UE.

[0120] In this document, ' / ' means 'and', 'or', or 'and / or' depending on the context.

[0121] In this specification, 'beam' may mean a source RS for a 'spatial filter' or a 'spatial relation', and may be interpreted as a QCL (type-D) RS or a TCI state or (in the case of uplink) a spatial relation RS.

[0122] For example, in this specification, 'beam' may mean a spatial filter determined based on the reference RS or the source RS. The spatial filter may include a spatial domain filter, a spatial domain transmission filter, and a spatial domain receive filter. For example, in this specification, 'beam' may be interpreted / replaced with a reference signal index (RS index), a reference signal resource index (RS resource index), and / or a resource indicator (e.g., RS index, SSB index, CSI-RS resource index, SRS resource index, SSB Resource Indicator (SSBRI), CSI-RS Resource Indicator (CRI), etc.).

[0123] For example, a beam associated with UL may be referred to as i) a spatial filter (for uplink transmission or uplink reception), ii) a spatial domain filter (for uplink transmission or uplink reception), iii) an uplink spatial domain transmission filter, iv) an uplink spatial domain receive filter, v) an uplink transmit spatial filter (UL Tx spatial filter), or vi) an uplink receive spatial filter (UL Rx spatial filter).

[0124] For example, a beam associated with DL may be referred to as i) a spatial filter (for downlink transmission or downlink reception), ii) a spatial domain filter (for downlink transmission or downlink reception), iii) a downlink spatial domain transmission filter, iv) a downlink spatial domain receive filter, v) a downlink transmit spatial filter (DL Tx spatial filter) or vi) a downlink receive spatial filter (DL Rx spatial filter).

[0125] In the NR standard, QCL setting and spatialRelation setting by TCI state setting are utilized to set the UL / DL transmission / reception beam of the terminal. In the Rel-15 NR standard, RRC and MAC CE signaling are mainly used for UL / DL number / transmission beam. Dynamic signaling has been allowed only for the reception beam of the PDSCH using the TCI state field of the DL grant DCI. The Rel-17 / 18 NR standard introduced a unified TCI framework. Specifically, a method was introduced to dynamically manage the common beam by indicating the reception / transmission beam using the indicated TCI using DCI. Meanwhile, the Rel-18 AI / ML study item conducted a study on performance evaluation and specification impact in the spatial beam prediction and temporal beam prediction sub-use cases in the beam management field. The study discussed the NW / UE-side AI / ML operation that predicts the best beam of Set A based on Set B measurements. For UE-sided AI / ML, the terminal is required to measure Set B and report the predicted Set A beam. For NW-sided AI / ML, the terminal is required to report Set B measurement.

[0126] This specification proposes a method for setting up beam measurement / reporting for base station-side AI / ML and terminal-side AI / ML, and proposes subsequent base station / terminal operations.

[0127] < UE initiated BM related background >

[0128] In existing LTE / NR systems, the reporting of CSI / beam information from a UE is determined / controlled by the base station / network (except in the case of BFR). These NW (network)-initiated / triggered reports have limitations in that they require UEs to be configured / instructed to frequently send CSI / beam information in environments where the wireless channel is likely to change rapidly. In such environments, the UL resource overhead for CSI / beam reporting and the related DL measurement RS overhead increase, and the UE's power consumption also increases due to frequent uplink transmission. Furthermore, the more UEs within cell / TRP coverage, the greater the UL resource overhead, as each UE must be allocated UL resources. To overcome these limitations of NW-initiated / triggered reports, recently emerging approaches are UE-initiated / triggered reports or event-based / triggered reports.

[0129] In the UE-initiated / triggered report method or event-based / triggered report method, the UE determines whether and when to report. By performing the report only when necessary (e.g., when a specific event occurs), UL resource overhead and UE power consumption can be reduced. With the above motivation, standardization of UE-initiated / triggered beam reports is expected in NR Rel-19. Furthermore, in 6G communication systems, UE-initiated / triggered or event-based transmission methods can be more actively expanded and adopted to efficiently manage uplink resources.

[0130] In the NR system, there are two representative reporting methods for event-based or UE-initiated / triggered information: SR (scheduling request) and BFR (beam failure recovery). SR reports whether PUSCH allocation is required for UL-SCH transmission, and BFR reports whether BF occurs and new beam-related information. This information is conveyed / transmitted to the base station in an explicit or implicit manner (e.g., conveying a new beam index as PRACH resource selection information). The above-mentioned SR / BFR-related information is conveyed simultaneously or separately through one or two UL resources (e.g., BFRQ on PUCCH + beam information via MAC-CE on PUSCH).

[0131] In this specification, information transmitted to the network based on a terminal event and / or via a UE-initiated / triggered transmission method (e.g., SR, BFRQ, new beam information, etc.) as described above is referred to as “event information” for convenience of explanation. Event information is composed of one or more information parts / blocks, and encoding / rate matching / RE mapping can be performed for each part / block unit. Each information part / unit can also be transmitted via different transmission methods (e.g., BFRQ via UCI as an L1 message, new beam information via MAC-CE as an L2 message).

[0132] < Background related to AI / ML beam management >

[0133] In the Rel-18 AI / ML study item, we conducted a study on performance analysis and potential specification impact through evaluation when NW and / or UE-side AI / ML models operate in three use cases: CSI compression / prediction, beam management, and positioning. In particular, in the beam management use case, we divided the sub-use cases into BM-case1 and BM-case2, and studied performance analysis and potential specification impact for spatial domain beam prediction and temporal beam prediction. The WID goals of AI / ML BM, BM-case1, and BM-case2 are summarized in Tables 2 to 4 below.

[0134] - AI / ML BM's WID goals

[0135]

[0136] - BM-case1: Spatial domain downlink beam prediction for beam set A based on measurement results for beam set B.

[0137]

[0138] - BM-case2: Temporal downlink beam prediction for beam set A based on past measurement results for beam set B.

[0139]

[0140] Additionally, an example of the operation for data collection of AI / ML models in the Beam management use case is shown in Table 5 below.

[0141]

[0142] Additionally, an example of the operation for inference of AI / ML model in Beam management use case is as shown in Table 6 below.

[0143]

[0144] As cited above, the NW / UE-side AI / ML operation that predicts the best beam of Set A based on Set B measurements was discussed. For UE-side AI / ML, the UE is required to measure Set B and report the predicted Set A beam. For NW-side AI / ML, the UE is required to report the Set B measurements.

[0145] Based on the above background, the following examines the beam measurement / reporting setup method for base station-side AI / ML and terminal-side AI / ML, as well as the subsequent base station / terminal operations.

[0146] In this specification, ' / ' can be interpreted as 'and', 'or', or 'and / or' depending on the context.

[0147] Proposal 1

[0148] For beam prediction operation of the NW-side AI / ML model and / or the UE-side AI / ML model, a method of configuring one or more combinations associated with a specific CSI-ReportConfig may be considered. Each combination may include i) one or more Set As and ii) one or more Set Bs associated with each of the one or more Set As. The base station may configure the one or more combinations associated with the specific CSI-ReportConfig to the terminal.

[0149] For example, a specific CSI-ReportConfig may be related / connected to multiple CSI-ResourceConfigs. The multiple CSI-ResourceConfigs may include a CSI-ResourceConfig related to Set A and a CSI-ResourceConfig related to Set B. As a specific example, the specific CSI-ReportConfig may include information about the multiple CSI-ResourceConfigs (e.g., an ID of each of the multiple CSI-ResourceConfigs; CSI-ResourceConfigId). As a specific example, multiple CSI-ResourceConfigs related to the specific CSI-ReportConfig may be set.

[0150] For example, multiple CSI resource sets may be configured / connected to a CSI-ResourceConfig for a specific CSI-ReportConfig. The multiple CSI resource sets may include a CSI resource set related to Set A and a CSI resource set related to Set B. As a specific example, the specific CSI-ReportConfig may include information about the CSI-ResourceConfig (e.g., CSI-ResourceConfigId). The CSI-ResourceConfig may include multiple CSI resource sets.

[0151] In the above examples, CSI-ResourceConfig may be related to channel measurement.

[0152] The methods for setting / connecting one or more of the above combinations (Set A / Set B combinations) are described in more detail in the examples below.

[0153] Example 1 of Proposal 1)

[0154] A base station can configure / connect one Set A and one or more Set Bs for a specific CSI-ReportConfig for beam prediction purposes. CSI-ReportConfig based on Embodiment 1) below is described with reference to FIG. 3.

[0155] Fig. 3 illustrates an example of a CSI reporting configuration according to an embodiment of the present specification. Specifically, Fig. 3 illustrates Set A / Set B based on CSI-ReportConfig. Referring to Fig. 3, CSI-ReportConfig#1 may be associated with Set A and three Set Bs. The three Set Bs include i) Set B configured based on 1 / 8 of the beams (e.g., RS indices or RS resources) in Set A, ii) Set B configured based on 1 / 16 of the beams in Set A, and iii) Set B configured based on beams other than the beams in Set A.

[0156] Subsequently, information may be indicated as to which Set B the terminal will utilize for beam measurement / reporting purposes for the specific CSI-ReportConfig. For example, one of the Set Bs associated with the specific CSI-ReportConfig may be activated. As a specific example, the base station may transmit information (e.g., an activation message) to the terminal for activating one of the Set Bs associated with the specific CSI-ReportConfig. The information may be transmitted based on MAC CE or DCI.

[0157] Example 2 of Proposal 1)

[0158] A base station can set / connect i) multiple Set As and ii) multiple Set Bs associated / related with each of the multiple Set As for a specific CSI-ReportConfig for beam prediction purposes. CSI-ReportConfig based on embodiment 2) is described below with reference to FIG. 4.

[0159] FIG. 4 illustrates another example of a CSI reporting configuration according to an embodiment of the present disclosure. Specifically, FIG. 3 illustrates combinations of Set A / Set B based on CSI-ReportConfig. Referring to FIG. 4, CSI-ReportConfig#1 may be associated with three combinations.

[0160] Set A / B combination #1 may include Set A (Set A #1) and two Set Bs. The two Set Bs include i) Set B configured based on 1 / 4 of the beams (e.g., RS indices or RS resources) in Set A #1, and ii) Set B configured based on 1 / 8 of the beams in Set A #1.

[0161] Set A / B combination #2 may include Set A (Set A #2) and three Set Bs. The three Set Bs include i) Set B configured based on 1 / 8 of the beams (e.g., RS indices or RS resources) in Set A #2, ii) Set B configured based on 1 / 16 of the beams in Set A #2, and iii) Set B configured based on beams other than the beams in Set A #2.

[0162] Set A / B combination #3 may include Set A (Set A #3) and two Set Bs. The two Set Bs include i) Set B configured based on 1 / 4 of the beams (e.g., RS indices or RS resources) in Set A #3, and ii) Set B configured based on beams other than the beams in Set A #3.

[0163] Subsequently, information may be indicated as to which Set A and which Set B (associated / related with the Set A) for the specific CSI-ReportConfig is to be utilized by the terminal for beam measurement / reporting purposes. For example, i) a specific Set A among a plurality of Set As associated with the specific CSI-ReportConfig and ii) a specific Set B among a plurality of Set Bs associated with the specific Set A may be activated. As a specific example, the base station may transmit information (e.g., an activation message) for activating the specific Set A and the specific Set B associated with the specific CSI-ReportConfig to the terminal. The information may be transmitted based on MAC CE or DCI.

[0164] For example, in the embodiment of the above proposal 1, Set B may be set / linked to a specific CSI-ReportConfig in the form of a separate CSI resource set from Set A.

[0165] For example, in the embodiment of the proposal 1, Set B may be configured to include some resources among a plurality of CSI resources in a CSI resource set set as Set A. Base station signaling related to the configuration of Set B may be performed. For example, beams corresponding to 64 CSI resources may exist in Set A. In this case, a specific Set B may be configured based on a 64-bitmap. Specifically, the 64-bitmap indicates CSI resources belonging to the specific Set B among the 64 CSI resources in Set A.

[0166] Additionally, for environments where Set A and Set B do not intersect (e.g., when Set A and Set B are different), Set B can be defined / set as follows.

[0167] For example, Set B may be defined / configured based on i) CSI resource(s) within Set A and ii) coefficient value(s) applied to the CSI resource(s). As a specific example, one or more beams of Set B may be configured based on a linear combination. The linear combination may be based on CSI resources and coefficient values ​​associated with the resources.

[0168] For example, one or more beams of Set B can be set based on a 2D-bitmap for a beamforming range (e.g., horizontal angle, vertical angle).

[0169] Specifically, when the embodiment of Proposal 1 is utilized for UE-side AI / ML, the terminal can report information indicating preferred Set A and / or Set B for terminal-side beam prediction operation to the base station. As a specific example, among the Set As and Set Bs based on Embodiments 1 and 2 described above, the terminal can report preferred Set A and / or preferred Set B to the base station. Subsequently, the base station can activate (using MAC CE signaling, etc.) the combination of Set A and Set B preferred by the terminal for the specific CSI-ReportConfig.

[0170] Effect of the above suggestion 1

[0171] When the terminal performs a report for the Set B beam through the Set A / B beam set setting operation of the above proposal 1, the base station can perform a beam prediction operation for Set A using the NW sided AI / ML, and the terminal can derive the predicted Set A beam using the Set B beam measurement (as input data of the UE sided AI / ML).

[0172] In addition, NW / UE-side AI / ML models / functionality may vary, and even the size of input data may vary for a specific model / functionality. In this case, based on the present embodiment, various combinations of Set A and Set B may be preset in the terminal by the base station. The combination of Set A and Set B suitable for the AI / ML model / functionality of the NW / UE may be adaptively activated / indicated (via MAC CE or DCI) in response to changes in the input data size. This operation may result in effects such as delay reduction and improved beam prediction performance.

[0173] Proposal 2

[0174] The base station may set reportQuantity related to reports of Alt 1) to Alt 5) below for beam measurement / reporting of the terminal for the CSI-ReportConfig of the above proposal 1. For example, reportQuantity may be set to a value indicating a report based on at least one of Alt 1) to Alt 5) / information included in the report.

[0175] Alt 1)

[0176] Based on the reportQuantity set by the base station, the terminal can report the L1-RSRP value for one or more CMRs (Channel Measurement Resources) related to Set B for the CSI-ReportConfig of Proposal 1. The one or more CMRs related to Set B can be i) all CMRs in Set B, ii) N CMRs (where N is a natural number) having the highest L1-RSRP value in Set B, or iii) specific N CMRs in Set B set / instructed by the base station.

[0177] Alt 2)

[0178] Based on the reportQuantity set by the base station, the terminal can perform reporting as follows. For the CSI-ReportConfig of Proposal 1, the terminal can report i) L1-RSRP value for one or more CMRs associated with Set B and ii) L1-RSRP value for one or more CMRs associated with Set A.

[0179] One or more CMRs associated with the above Set A may be i) specific N CMRs in Set A that have a connection relationship (by base station presetting) with CMRs in Set B reported by the terminal, ii) N CMRs with the highest L1-RSRP value in Set A, or iii) specific N CMRs in Set A configured / instructed by the base station.

[0180] Specifically, in addition to the report related to Set B, the report related to Set A can be performed only for a portion of the total reporting instances of the CSI-ReportConfig (e.g., 1 / X of the total reporting instances, where X is a natural number). In order to match the reporting payload when performing reports related to both Set B and Set A and when performing reports related to only Set B, the following embodiments may be considered when Set A is also reported.

[0181] i) A step size of 2 dB or more may be applied when reporting L1-RSRP of the best CMR in Set B. For example, the legacy step size may be 1 dB.

[0182] ii) A larger step size may be applied for differential reporting when reporting L1-RSRP of non-best CMRs within Set B (while utilizing a step size of 2 dB or more when reporting L1-RSRP of best CMRs). For example, according to the legacy standard, the step size for differential reporting is 2 dB, but according to this embodiment, a step size such as 4 dB, 6 dB, or 8 dB may be applied.

[0183] iii) The number of CMRs reported in Set B may be reduced or some CMRs in Set B may be omitted from reporting (e.g., N CMRs with the lowest L1-RSRP values ​​may be omitted).

[0184] Additionally, the reporting granularity for expressing L1-RSRP may be different for reports on Set B and reports on Set A.

[0185] Alt 3)

[0186] Based on the reportQuantity set by the base station, the terminal may report one or more predicted best CMRs related to Set A (based on Set B beam measurement) and the predicted L1-RSRP values ​​for the same for the CSI-ReportConfig of Proposal 1.

[0187] One or more predicted best CMRs associated with the above Set A may be specific K CMRs (where K is a natural number) set / instructed by the base station (corresponding to the highest predicted L1-RSRP value of Top-K).

[0188] Alt 4)

[0189] Based on the reportQuantity set by the base station, the terminal can perform reporting as follows. For the CSI-ReportConfig of the above proposal 1, the terminal can report i) one or more predicted best CMRs related to Set A (based on Set B beam measurement) and their predicted L1-RSRP values, and ii) (actually measured) L1-RSRP values ​​for one or more CMRs related to Set A.

[0190] The one or more CMRs associated with the above Set A may be i) specific N CMRs within Set A that have a connection relationship (by base station presetting) with the predicted best CMR associated with Set A reported by the terminal, ii) N CMRs with the highest L1-RSRP value within Set A, or iii) specific N CMRs within Set A configured / instructed by the base station.

[0191] Characteristically, in addition to the predicted CMR-related report related to Set A, the report related to Set A can be performed only for a portion of the total reporting instances of the CSI-ReportConfig (e.g., 1 / X of the total reporting instances, where X is a natural number). In order to match the reporting payload to be identical / similar when performing reports related to both the predicted CMR of Set A and Set A, and when performing reports related only to the predicted CMR of Set A, the following embodiments may be considered when Set A is also reported.

[0192] i) A step size of 2 dB or more may be applied when reporting the predicted L1-RSRP of the predicted best CMR within Set A. For example, the legacy step size may be 1 dB.

[0193] ii) A larger step size may be applied for differential reporting when reporting predicted L1-RSRP of predicted non-best CMR (while utilizing a step size of 2 dB or more when reporting predicted L1-RSRP of predicted best CMR within Set A). For example, the step size for differential reporting is 2 dB according to the legacy standard, but a step size such as 4 dB, 6 dB, or 8 dB may be applied according to this embodiment.

[0194] iii) The number of predicted CMRs reported in Set A may be reduced, or some CMRs in Set A may be omitted from reporting (e.g., the N CMRs with the lowest L1-RSRP values ​​may be omitted).

[0195] Additionally, the reporting granularity for expressing the (predicted) L1-RSRP in the report on Set A may be different from that in the report on Set A for predicted CMR.

[0196] Alt 5)

[0197] Based on the reportQuantity set by the base station, the terminal can perform reporting as follows. The terminal reports based on Alt 3 to Alt 4, but can also report based on Alt 1 if certain conditions are met. This will be described in detail below.

[0198] Based on the UE-side AI / ML, the predicted best beam performance of Set A is determined / judged to be below the reference value, and the UE may revert to Alt 1 and perform reporting. The UE may report the L1-RSRP value for one or more CMRs associated with Set B.

[0199] The reporting of the above proposal 2 can be performed using P / SP / A CSI on PUSCH / PUCCH.

[0200] The effect of Proposal 2

[0201] In Proposal 2 above, Alt 1 and Alt 2 can be utilized to secure input data for NW-side AI / ML (by having the terminal report the actually measured results of Set A / B). In particular, Alt 2 can be helpful in performing AI / ML performance monitoring by comparing the quality of Set A beam predicted by the base station with the actual quality of Set A beam.

[0202] Additionally, Alt 3 to Alt 5 in Proposal 2 can be utilized for UE-side AI / ML. In particular, Alt 4 can be helpful for the base station to perform performance monitoring of UE-side AI / ML, as the terminal compares and reports the predicted Set A beam with the measured Set A beam. Alt 5 can have the effect of returning to legacy beam management (based on the terminal's decision) by having the terminal perform performance monitoring of UE-side AI / ML.

[0203] The operations of Proposals 1 and 2 above are applicable to both spatial domain beam prediction and temporal domain beam prediction. For example, if the operations of Alt 1 to Alt 5 of Proposal 2 are applied to temporal domain beam prediction, when performing reports for specific CMRs of Set A and Set B, reports / information for multiple time instances can be included in the report of Proposal 2.

[0204] The above embodiments may be operated by a combination of specific embodiments.

[0205] An example of a terminal (or base station) operation based on at least one of the embodiments described above (e.g., at least one of the embodiments of Proposals 1 and 2) is as follows.

[0206] 1) The terminal (base station) receives (transmits) settings related to beam measurement / reporting. The settings may include information based on at least one of Proposals 1 and 2. For example, the settings may include settings related to Set A and Set B (e.g., CSI-reportConfig related to at least one Set A and at least one Set B) (Proposal 1). For example, the settings may include reportQuantity (Proposal 2).

[0207] 2) The terminal (base station) receives (transmits) a message scheduling the transmission of the report. For example, the message may be based on a MAC CE that activates semi-persistent reporting. For example, the message may be based on a DCI that triggers aperiodic reporting. For example, the time domain behavior associated with the transmission of the report may be periodic, semi-persistent, or aperiodic. For example, this step may be omitted.

[0208] 3) The terminal (base station) transmits (receives) the report. The content of the report may be based on the embodiments of Proposal 2. For example, the report may include information based on at least one of Alt 1) to Alt 5 related to the reportQuantity of Proposal 2.

[0209] The above terminal / base station operations are only an example, and each operation (or step) is not necessarily essential, and the beam measurement / reporting operations of the terminal according to the above-described embodiments may be omitted or added depending on the terminal / base station implementation method.

[0210] In terms of implementation, the operations of the base station / terminal according to the embodiments described above (e.g., operations based on at least one of Proposals 1 and 2) can be processed by the device of FIG. 7 (e.g., the processor (110, 210) of FIG. 7).

[0211] In addition, the operations of the base station / terminal according to the above-described embodiment (e.g., operations based on at least one of proposals 1 and 2) may be stored in a memory (e.g., 140, 240 of FIG. 7) in the form of commands / programs (e.g., instructions, executable codes) for driving at least one processor (e.g., 110, 210 of FIG. 7).

[0212] The embodiments described below are specifically described with reference to FIGS. 5 and 6 in terms of the operation of the terminal and base station. The methods described below are distinguished for convenience of explanation, and it is understood that some components of one method may be substituted for or combined with some components of another method.

[0213] FIG. 5 is a flowchart illustrating a method according to one embodiment of the present specification.

[0214] Referring to FIG. 5, a method according to one embodiment of the present specification includes a step of receiving a report setting related to CSI (S510) and a step of reporting CSI (S520).

[0215] In S510, the terminal receives report configuration related to channel state information (CSI) from the base station.

[0216] For example, the reporting settings may include information based on at least one of Proposals 1 and 2.

[0217] For example, the reporting configuration may include information related to Set A / Set B of Proposal 1. As a specific example, the reporting configuration may include i) information about a first CSI resource configuration related to prediction and ii) information about a second CSI resource configuration related to measurement. Each of the first / second CSI resource configurations may be based on a higher layer parameter CSI-ResourceConfig.

[0218] For example, the information about the first CSI resource configuration may be based on a first CSI resource configuration ID (e.g., CSI-ResourceConfigId). The information about the second CSI resource configuration may be based on a second CSI resource configuration ID.

[0219] In one embodiment, the second CSI resource configuration may include one or more second CSI resource configurations associated with the first CSI resource configuration. This embodiment may be based on Embodiment 1 of Proposal 1. For example, referring to FIG. 3, the reporting configuration may include i) information about a first CSI resource configuration (e.g., Set A #1) and ii) information about three second CSI resource configurations associated with the first CSI resource configuration. The three second CSI resource configurations may include i) a second CSI resource configuration configured based on 1 / 8 of the RS resource indices in the first CSI resource configuration, ii) a second CSI resource configuration configured based on 1 / 16 of the RS resource indices in the first CSI resource configuration, and iii) a second CSI resource configuration configured based on RS resource indices different from the RS resource indices in the first CSI resource configuration.

[0220] In one embodiment, the first CSI resource configuration may include one or more first CSI resource configurations. The second CSI resource configuration may include one or more second CSI resource configurations associated with each first CSI resource configuration. This embodiment may be based on Embodiment 2 of Proposal 1. For example, referring to FIG. 4, the reporting configuration may include i) information about three first CSI resource configurations (e.g., Set A #1 to Set A #3) and ii) information about second CSI resource configurations associated with each first CSI resource configuration.

[0221] For the first combination of FIG. 4, the two second CSI resource configurations associated with the first CSI resource configuration (Set A #1) may include i) a second CSI resource configuration configured based on 1 / 4 of the RS resource indices in the first CSI resource configuration (Set A #1), and ii) a second CSI resource configuration configured based on 1 / 8 of the RS resource indices in the first CSI resource configuration (Set A #1).

[0222] For the second combination of FIG. 4, the three second CSI resource configurations related to the first CSI resource configuration (Set A #2) may include i) a second CSI resource configuration configured based on 1 / 8 of the RS resource indices in the first CSI resource configuration (Set A #2), ii) a second CSI resource configuration configured based on 1 / 16 of the RS resource indices in the first CSI resource configuration (Set A #2), and iii) a second CSI resource configuration configured based on RS resource indices different from the RS resource indices in the first CSI resource configuration (Set A #2).

[0223] For the third combination of FIG. 4, the two second CSI resource configurations associated with the first CSI resource configuration (Set A #3) may include i) a second CSI resource configuration configured based on 1 / 4 of the RS resource indices in the first CSI resource configuration (Set A #3) and ii) a second CSI resource configuration configured based on RS resource indices different from the RS resource indices in the first CSI resource configuration (Set A #3).

[0224] The examples described above are for convenience of explanation. Specifically, the example of FIG. 4 does not imply that the scope of application of Embodiment 2 of Proposal 1 is limited to a specific number (3) of first CSI resource configurations or a specific number (2, 3) of second CSI resource configurations associated with each first CSI resource configuration. In other words, the number of first CSI resource configurations associated with the reporting configuration (e.g., 1, 2, 3, 4, etc.) and / or the number of second CSI resource configurations associated with each of the first CSI resource configurations (e.g., 1, 2, 3, 4, etc.) may vary.

[0225] For example, the reporting settings may include a report quantity based on Proposal 2. The report quantity may be related to information reported by the terminal. The report quantity may be set to a value indicating information based on at least one of Alt 1 to Alt 5 of Proposal 2.

[0226] In one embodiment, the RS resource indices based on the second CSI resource configuration may be based on a subset of the RS resource indices based on the first CSI resource configuration (see Alt. ii) of Table 3 / Table 4).

[0227] In one embodiment, the RS resource indices based on the second CSI resource configuration may be different from the RS resource indices based on the first CSI resource configuration (see Alt. i) of Table 3 / Table 4).

[0228] In S520, the terminal reports the CSI to the base station.

[0229] For example, the CSI may be related to a report for the BM-Case 1 and / or BM-Case 2 described above (see Tables 2 to 6). The report may include an inference result report and / or a measurement result report. The information / parameters included in the CSI may be related to the output of a UE-sided model and / or the input of a network-sided model. The information / parameters included in the CSI will be described in detail below.

[0230] In one embodiment, the CSI may include i) information about at least one RS resource index among RS resource indices based on the first CSI resource configuration and / or ii) at least one Reference Signal Received Power (RSRP) associated with the at least one RS resource index. For example, the information (e.g., beam information) about the at least one RS resource index may be based on at least one Resource Indicator (e.g., a CSI-RS Resource Indicator (CRI) and / or an SSB Resource Indicator (SSBRI)). The present embodiment may be based on Proposal 2. Specifically, the CSI may include information based on at least one of Alt 1) to Alt 5) of Proposal 2.

[0231] For example, the information included in the CSI may be based on a report quantity set based on the report settings. As a specific example, a report quantity based on Proposal 2 may be set based on the report settings. The terminal may report CSI including parameter(s) based on the report quantity to the base station.

[0232] For example, the information included in the CSI may be predefined or based on separate settings. As a specific example, the terminal may be implemented to perform a reporting operation (e.g., at least one of Alt 1) to Alt 5) based on Proposal 2. As a specific example, the terminal may be configured to perform a reporting operation (e.g., at least one of Alt 1) to Alt 5) based on Proposal 2 based on a separate RRC setting by the base station (e.g., a setting different from the above reporting setting).

[0233] Below, at least one RSRP is specifically described with reference to embodiments of Proposal 2.

[0234] In one embodiment, the at least one RSRP associated with the at least one RS resource index (e.g., at least one CMR in Set A) may be based on predicted RSRP(s) and / or measured RSRP(s). The present embodiment may be based on at least one of Alt 1) to Alt 5) of Proposal 2.

[0235] In one embodiment, the at least one RSRP may be at least one predicted RSRP. This embodiment may be based on at least one of Alt 3), Alt 4), and / or Alt 5) of Proposal 2. As an example, the at least one predicted RSRP may include the largest K predicted RSRPs.

[0236] In one embodiment, the at least one RSRP may be at least one measured RSRP. This embodiment may be based on at least one of Alt 1), Alt 2), Alt 4), and / or Alt 5) of Proposal 2. A specific example of Alt 4) of Proposal 2 is described below.

[0237] For example, the RS resource indices in the second CSI resource configuration may be based on a subset of the RS resource indices in the first CSI resource configuration (see Alt. ii) in Table 3 / Table 4). In this case, the at least one RS resource index may be included in not only the first CSI resource configuration but also the second CSI resource configuration. In other words, each of the first CSI resource configuration and the second CSI resource configuration may include the at least one RS resource index. In other words, the at least one RS resource index may belong to the first CSI resource configuration and the second CSI resource configuration. In other words, the at least one RS resource index may be RS resource index(es) commonly included in the first CSI resource configuration and the second CSI resource configuration. Accordingly, the at least one RSRP associated with the at least one RS resource index may be at least one measured RSRP. In other words, based on the at least one RS resource index belonging to the second CSI resource configuration associated with the measurement, the at least one RSRP may be at least one measured RSRP. The at least one measured RSRP may include the largest K measured RSRPs.

[0238] In one embodiment, the at least one RSRP may include a predicted RSRP and a measured RSRP. This embodiment may be based on Alt 4) or Alt 5) of Proposal 2. Specific examples of Alt 4) of Proposal 2 are described below.

[0239] As an example of Alt 4) of Proposal 2, the at least one RSRP may include i) a largest predicted RSRP (or the K largest predicted RSRPs) and ii) one or more measured RSRPs. As a specific example, the one or more measured RSRPs may be associated with RS resource index(es) in a first CSI resource configuration that has a connection relationship with an RS resource index having the largest predicted RSRP. As a specific example, the one or more measured RSRPs may be associated with RS resource index(es) belonging to the first CSI resource configuration indicated by the base station. The one or more measured RSRPs may be reported as one or more differential RSRPs. The one or more differential RSRPs may be determined / defined based on the largest predicted RSRP. As a specific example, each of the one or more differential RSRPs may be determined based on a difference between each of the one or more measured RSRPs and the largest predicted RSRP.

[0240] As an example of Alt 4) of Proposal 2, the at least one RS resource index may include i) RS resource index(es) belonging only to the first CSI resource configuration and ii) RS resource index(es) belonging to the first CSI resource configuration and the second CSI resource configuration. In this case, the at least one RSRP may include i) predicted RSRP(s) and ii) measured RSRP(s). As a specific example, the RSRP(s) associated with the RS resource index(es) belonging only to the first CSI resource configuration may be predicted RSRP(s). As a specific example, the RSRP(s) associated with the RS resource index(es) belonging to the first CSI resource configuration and the second CSI resource configuration may be measured RSRP(s). As a specific example, the RSRP(s) associated with the RS resource index(es) belonging to the first CSI resource configuration and the second CSI resource configuration may include predicted RSRP(s) and measured RSRP(s).

[0241] Below, the at least one RS resource index is specifically described with reference to embodiments of Proposal 2.

[0242] In one embodiment, the at least one RS resource index may include at least one of: i) an RS resource index associated with a largest predicted RSRP (e.g., CMR (CRI or SSBRI) with largest predicted RSRP), ii) one or more RS resource indices associated with the RS resource index, and / or iii) one or more RS resource indices indicated by the base station. The present embodiment may be based on Alt 4) or Alt 5) of Proposal 2.

[0243] As an example of the above ii), the one or more RS resource indices may include RS resource index(es) in a first CSI resource configuration having a connection relationship with the RS resource index having the largest predicted RSRP. In this case, the at least one RSRP may include one or more measured RSRPs related to the one or more RS resource indices. The first CSI resource configuration (e.g., Set A #2) based on the connection relationship may be different from the first CSI resource configuration (e.g., Set A #1) to which the RS resource index having the largest predicted RSRP belongs. The number (N) of the one or more RS resource indices may be predefined or set by the base station.

[0244] The one or more RS resource indices may include RS resource index(es) determined in descending order of measured RSRP among the RS resource indices in the first CSI resource configuration based on the connection relationship. As a specific example, it may be assumed that the number (N) of the one or more RS resource indices is defined / set to 2. In this case, the one or more RS resource indices may include i) an RS resource index having a largest measured RSRP (e.g., CMR with largest measured RSRP) and ii) an RS resource index having a second largest measured RSRP (e.g., CMR with second largest measured RSRP).

[0245] As an example of the above iii), the one or more RS resource indices may include RS resource index(es) belonging to a first CSI resource configuration indicated by the base station. In this case, the at least one RSRP may include one or more measured RSRPs related to the one or more RS resource indices. The number (N) of the one or more RS resource indices may be predefined or set by the base station. The indicated first CSI resource configuration (e.g., Set A #3) may be different from the first CSI resource configuration (e.g., Set A #1) to which the RS resource index having the largest predicted RSRP belongs.

[0246] The one or more RS resource indices may include RS resource index(es) determined in descending order of measured RSRP among the RS resource indices in the indicated first CSI resource configuration. As a specific example, it may be assumed that the number (N) of the one or more RS resource indices is defined / set to 3. In this case, the one or more RS resource indices may include i) an RS resource index having a largest measured RSRP (e.g., CMR with largest measured RSRP), ii) an RS resource index having a second largest measured RSRP (e.g., CMR with second largest measured RSRP), and ii) an RS resource index having a third largest measured RSRP (e.g., CMR with third largest measured RSRP).

[0247] In one embodiment, the at least one RS resource index may include RS resource index(es) determined in descending order of predicted RSRP among the RS resource indices based on the first CSI resource configuration. This embodiment may be based on Alt 3) or Alt 5) of Proposal 2. Specifically, the at least one RS resource index may include K (a natural number) RS resource indices determined in descending order of predicted RSRP among the RS resource indices based on the first CSI resource configuration. As a specific example, the number (e.g., K) of the at least one RS resource index may be set by the base station. As a specific example, the number (e.g., K) of the at least one RS resource index may be defined in advance. As described above, the at least one RS resource index may be RS resource index(es) included not only in the first CSI resource configuration but also in the second CSI resource configuration (see Alt. ii) of Table 3 / Table 4). In this case, the at least one RSRP may include i) at least one measured RSRP or ii) predicted RSRP(s) and measured RSRP(s).

[0248] The operations based on S510 to S520 described above can be implemented by the device of FIG. 7. For example, referring to FIG. 7, the terminal (200) can control one or more transceivers (230) and / or one or more memories (240) to perform the operations based on S510 to S520.

[0249] The embodiments described below are specifically described in terms of base station operation.

[0250] S610 to S620 described below correspond to S510 to S520 described in FIG. 5. Considering the above correspondence, redundant descriptions are omitted. That is, the specific description of the base station operation described below may be replaced with the description / example of FIG. 5 corresponding to the corresponding operation.

[0251] FIG. 6 is a flowchart illustrating a method according to another embodiment of the present specification.

[0252] Referring to FIG. 6, a method according to another embodiment of the present specification includes a step of transmitting a report setting related to CSI (S610) and a step of receiving CSI (S620).

[0253] In S610, the base station transmits report configuration related to channel state information (CSI) to the terminal.

[0254] For example, the reporting configuration may include information related to Set A / Set B of Proposal 1. As a specific example, the reporting configuration may include i) information about a first CSI resource configuration related to prediction and ii) information about a second CSI resource configuration related to measurement.

[0255] In S620, the base station receives the CSI from the terminal.

[0256] In one embodiment, the CSI may include i) information about at least one RS resource index among RS resource indices based on the first CSI resource configuration and / or ii) at least one Reference Signal Received Power (RSRP) associated with the at least one RS resource index.

[0257] The operations based on S610 to S620 described above can be implemented by the device of FIG. 7. For example, referring to FIG. 7, the base station (100) can control one or more transceivers (130) and / or one or more memories (140) to perform the operations based on S610 to S620.

[0258] The operations / terms based on the embodiments described above have been described assuming a 5G system. However, this is for convenience of explanation and is not intended to limit the scope of application of the technical problems and problem-solving means to be solved by this specification to a specific system. That is, the technical problems / technical issues / problems mentioned in this specification may equally exist in other systems (e.g., 6G systems). It is self-evident that the embodiments of this specification can be expanded and applied to solve problems equally existing in the other systems. Therefore, for the expanded application of the embodiments of this specification to other systems, the terms defined / described based on the 5G system may be replaced / changed with terms defined in the other systems (or generalized terms not specific to a system). For example, PRACH, PUSCH, PUCCH, or SRS may be replaced / changed with uplink signals (or uplink channels). For example, SSB, CSI-RS, PDSCH, and PDCCH may be replaced / changed with downlink signals (or downlink channels).

[0259] Hereinafter, a device to which an embodiment of the present specification can be applied (a device that implements a method / operation according to an embodiment of the present specification) is described with reference to FIG. 7.

[0260] FIG. 7 is a drawing showing the configuration of a first device and a second device according to an embodiment of the present specification.

[0261] The first device (100) may include a processor (110), an antenna unit (120), a transceiver (130), and a memory (140).

[0262] The processor (110) performs baseband-related signal processing and may include a higher layer processing unit (111) and a physical layer processing unit (115). The higher layer processing unit (111) may process operations of a MAC layer, an RRC layer, or higher layers. The physical layer processing unit (115) may process operations of a PHY layer. For example, when the first device (100) is a base station device in base station-terminal communication, the physical layer processing unit (115) may perform uplink reception signal processing, downlink transmission signal processing, etc. For example, when the first device (100) is a first terminal device in terminal-to-terminal communication, the physical layer processing unit (115) may perform downlink reception signal processing, uplink transmission signal processing, sidelink transmission signal processing, etc. In addition to performing baseband-related signal processing, the processor (110) may also control the overall operation of the first device (100).

[0263] The antenna unit (120) may include one or more physical antennas, and when it includes multiple antennas, it may support MIMO transmission and reception. The transceiver (130) may include an RF (Radio Frequency) transmitter and an RF receiver. The memory (140) may store information processed by the processor (110), and software, an operating system, applications, etc. related to the operation of the first device (100), and may also include components such as a buffer.

[0264] The processor (110) of the first device (100) may be configured to implement the operation of the base station in the base station-to-terminal communication (or the operation of the first terminal device in the terminal-to-terminal communication) in the embodiments described in the present disclosure.

[0265] The second device (200) may include a processor (210), an antenna unit (220), a transceiver (230), and a memory (240).

[0266] The processor (210) performs baseband-related signal processing and may include a higher layer processing unit (211) and a physical layer processing unit (215). The higher layer processing unit (211) may process operations of a MAC layer, an RRC layer, or higher layers. The physical layer processing unit (215) may process operations of a PHY layer. For example, when the second device (200) is a terminal device in base station-terminal communication, the physical layer processing unit (215) may perform downlink reception signal processing, uplink transmission signal processing, etc. For example, when the second device (200) is a second terminal device in terminal-to-terminal communication, the physical layer processing unit (215) may perform downlink reception signal processing, uplink transmission signal processing, sidelink reception signal processing, etc. In addition to performing baseband-related signal processing, the processor (210) may also control the overall operation of the second device (210).

[0267] The antenna unit (220) may include one or more physical antennas, and when it includes multiple antennas, it may support MIMO transmission and reception. The transceiver (230) may include an RF transmitter and an RF receiver. The memory (240) may store information processed by the processor (210), software, an operating system, applications, etc. related to the operation of the second device (200), and may also include components such as a buffer.

[0268] The processor (210) of the second device (200) may be configured to implement operations of the terminal in base station-to-terminal communication (or operations of the second terminal device in terminal-to-terminal communication) in the embodiments described in the present disclosure.

[0269] In the operation of the first device (100) and the second device (200), the same explanations given for the base station and the terminal (or the first terminal and the second terminal in the terminal-to-terminal communication) in the examples of the present disclosure may be applied, and redundant explanations are omitted.

[0270] Here, the wireless communication technology implemented in the device of the present disclosure may include LTE, NR, and 6G, as well as Narrowband Internet of Things (NB-IoT) for low-power communication. For example, NB-IoT technology may be an example of LPWAN (Low Power Wide Area Network) technology and may be implemented in standards such as LTE Cat NB1 and / or LTE Cat NB2, and is not limited to the above-described names.

[0271] Additionally or alternatively, the wireless communication technology implemented in the device of the present disclosure may perform communication based on LTE-M technology. For example, LTE-M technology may be an example of LPWAN technology and may be called by various names such as eMTC (enhanced Machine Type Communication). For example, LTE-M technology may be implemented by at least one of various standards such as 1) LTE CAT 0, 2) LTE Cat M1, 3) LTE Cat M2, 4) LTE non-BL (non-Bandwidth Limited), 5) LTE-MTC, 6) LTE Machine Type Communication, and / or 7) LTE M, and is not limited to the above-described names.

[0272] Additionally or alternatively, the wireless communication technology implemented in the device of the present disclosure may include at least one of ZigBee, Bluetooth, and Low Power Wide Area Network (LPWAN), which take low-power communication into account, and is not limited to the above-described names. For example, ZigBee technology can create personal area networks (PANs) related to small / low-power digital communication based on various standards such as IEEE 802.15.4, and may be called by various names.

Claims

1. In the method, A step of receiving a report configuration related to channel state information (CSI); and A step of reporting the above CSI; including: The above reporting configuration includes i) information about a first CSI resource configuration related to prediction and ii) information about a second CSI resource configuration related to measurement, A method characterized in that the CSI includes i) information on at least one RS resource index among RS resource indices based on the first CSI resource configuration and / or ii) at least one Reference Signal Received Power (RSRP) associated with the at least one RS resource index.

2. In paragraph 1, The above information about the first CSI resource setting is based on the first CSI resource setting Id, A method characterized in that the information on the second CSI resource configuration is based on the second CSI resource configuration Id.

3. In paragraph 1, A method characterized in that the second CSI resource configuration includes one or more second CSI resource configurations associated with the first CSI resource configuration.

4. In paragraph 1, The above first CSI resource configuration includes one or more first CSI resource configurations, A method characterized in that the second CSI resource configuration includes one or more second CSI resource configurations associated with each first CSI resource configuration.

5. In paragraph 1, A method characterized in that the at least one RSRP is at least one predicted RSRP.

6. In paragraph 1, A method characterized in that the at least one RSRP is at least one measured RSRP.

7. In paragraph 6, A method characterized in that the at least one RS resource index belongs to the first CSI resource configuration and the second CSI resource configuration.

8. In paragraph 1, A method characterized in that the RS resource indices based on the second CSI resource configuration are based on a subset of the RS resource indices based on the first CSI resource configuration.

9. In paragraph 1, A method characterized in that the RS resource indices based on the second CSI resource configuration are different from the RS resource indices based on the first CSI resource configuration.

10. In paragraph 1, A method characterized in that said at least one RS resource index comprises at least one of i) an RS resource index associated with a largest predicted RSRP, ii) one or more RS resource indices associated with said RS resource index, and / or iii) one or more RS resource indices indicated by the base station.

11. In the terminal, One or more transmitters and receivers; one or more processors; and One or more memories connected to said one or more processors and storing instructions, A terminal characterized in that the instructions, based on being executed by the one or more processors, cause the terminal to perform all steps of the method according to any one of claims 1 to 10.

12. In a device comprising one or more memories and one or more processors connected to the one or more memories, A device characterized in that said one or more memories store instructions that cause said device to perform all steps of a method according to any one of claims 1 to 10, based on being executed by said one or more processors.

13. In a non-transitory computer-readable storage medium storing instructions, A non-transitory computer-readable storage medium characterized in that the instructions executable by one or more processors cause a terminal to perform all steps of a method according to any one of claims 1 to 10.

14. In the method, A step of transmitting report configuration related to channel state information (CSI); and A step of receiving the above CSI; including: The above reporting configuration includes i) information about a first CSI resource configuration related to prediction and ii) information about a second CSI resource configuration related to measurement, A method characterized in that the CSI includes i) information on at least one RS resource index among RS resource indices based on the first CSI resource configuration and / or ii) at least one Reference Signal Received Power (RSRP) associated with the at least one RS resource index.

15. At the base station, One or more transmitters and receivers; one or more processors; and One or more memories connected to said one or more processors and storing instructions, A base station characterized in that the instructions, based on being executed by the one or more processors, cause the base station to perform all steps of the method according to claim 14.

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