terminal

Abstract

To provide a terminal that can execute a more appropriate and efficient UE-side model F-LCM procedure.SOLUTION: A terminal executes control using a learning model and transmits a report of applicable functions related to the learning model along with additional information about the applicable function to a network.SELECTED DRAWING: Figure 7

Description

[Technical Field]

[0001] The present disclosure relates to a terminal that uses an AI / ML model. [Background technology]

[0002] The 3rd Generation Partnership Project (3GPP: registered trademark) is developing specifications for the 5th generation mobile communication system (5G, also known as New Radio (NR) or Next Generation (NG)), and is also developing specifications for the next generation, known as Beyond 5G, 5G Evolution, or 6G.

[0003] 3GPP Release 19 has formulated a work item (WI) on an artificial intelligence / machine learning model (AI / ML model) (Non-Patent Document 1). The AI / ML model can be provided on the network (radio base station (gNB)) side (which may also be called a NW-side model) or on the terminal (user equipment, UE) side (which may also be called a UE-side model).

[0004] Of these, for the UE-side model, a procedure for functionality-based life cycle management (F-LCM) is being studied (Non-Patent Document 2). For example, during the phase from after training of the AI / ML model to model inference, the UE is being studied to report to the network the functions supported by the UE with respect to the AI / ML model (which may also be called "supported functionalities") in response to an inquiry from the network (UECapabilityEnquiry), and to report to the network the functions that the UE can report to the network and that can be applied by the UE (which may also be called "applicable functionalities") using UE Assistance Information (UAI).

[0005] The agreement also covers network-side additional conditions that affect the datasets used to train AI / ML models, as well as the associated IDs used to identify datasets under specific network-side additional conditions within a cell. [Prior art documents] [Non-patent literature]

[0006] [Non-Patent Document 1] "Revised SID on AIML for mobility in NR", RP-240082, 3GPP TSG RAN Meeting #103, 3GPP, March 2024 [Non-patent document 2] "Draft Report of 3GPP TSG RAN WG2 meeting #127, Maastricht, Netherlands", 3GPP TSG-RAN WG2 meeting #127bis, 3GPP, September 2024 Summary of the Invention [Problem to be solved by the invention]

[0007] However, the currently considered UE-side model F-LCM procedure has some problems to be improved. For example, if the UE does not report supported functionalities, the network may perform redundant configuration on the UE to report applicable functionalities. Also, after the UE is configured by the network to report applicable functionalities, the UE can report applicable functionalities to the network based on the configuration, but it cannot determine the appropriate report content and reporting method.

[0008] Therefore, the following disclosure has been made in consideration of the above circumstances, and aims to provide a terminal that can execute a more appropriate and efficient UE-side model F-LCM procedure. [Means for solving the problem]

[0009] One aspect of the present disclosure is a terminal (UE200) having a control unit (control unit 240) that performs control using a learning model, and a transmission unit (UE capability setting unit 230) that transmits to the network a report of applicable functions related to the learning model, along with additional information related to the applicable functions.

[0010] One aspect of the present disclosure is a terminal (UE200) that includes a control unit (control unit 240) that performs control using a learning model, and a transmission unit (AI / ML model unit 220) that transmits to the network at least one of network-side conditions related to the learning model and identification information to be used under the conditions, along with a report of supported functions related to the learning model. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a diagram showing the overall schematic configuration of a wireless communication system 10. As shown in FIG. [Figure 2] Figure 2 is a functional block diagram of gNB100. [Figure 3] FIG. 3 is a functional block diagram of the UE 200. [Figure 4] Figure 4 is a diagram showing an example of the functional architecture of an AI / ML model. [Figure 5] FIG. 5 is a diagram illustrating an example of a sequence relating to the F-LCM procedure of the UE-side model. [Figure 6] FIG. 6 is a diagram illustrating a part of a sequence relating to an F-LCM procedure of the UE-side model according to the operation example 0. In FIG. [Figure 7] FIG. 7 is a diagram illustrating a part of a sequence relating to an F-LCM procedure of the UE-side model according to the first operation example. [Figure 8] FIG. 8 is a diagram illustrating a first combination example of supported functionalities applicable to the F-LCM procedure of the UE-side model and NW-side additional conditions / Associated ID according to the second operation example. [Figure 9] FIG. 9 is a diagram illustrating a second example of a combination of supported functionalities applicable to the F-LCM procedure of the UE-side model and NW-side additional conditions / Associated ID according to the second operation example. [Figure 10] FIG. 10 is a diagram illustrating a third combination example of supported functionalities applicable to the F-LCM procedure of the UE-side model and NW-side additional conditions / Associated ID according to the second operation example. [Figure 11]FIG. 11 is a diagram illustrating a fourth combination example of supported functionalities applicable to the F-LCM procedure of the UE-side model and NW-side additional conditions / Associated ID according to the second operation example. [Figure 12] FIG. 12 is a diagram showing an example of a sequence of operations for determining applicable functionalities according to the second operation example. [Figure 13] FIG. 13 is a diagram illustrating a part of a sequence relating to an F-LCM procedure of the UE-side model according to the third operation example. [Figure 14] FIG. 14 is a diagram illustrating an example of a sequence of triggering reporting of applicable functionalities according to the third operation example. [Figure 15] FIG. 15 is a diagram showing an example of the hardware configuration of gNB100 and UE200. [Figure 16] FIG. 16 is a diagram showing an example of the configuration of a vehicle 2001. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, embodiments will be described with reference to the drawings. Note that the same or similar reference numerals are used to designate the same functions or configurations, and descriptions thereof will be omitted as appropriate.

[0013] (1) Overall configuration of the wireless communication system 1 is a schematic diagram of the overall configuration of a wireless communication system 10 according to this embodiment. The wireless communication system 10 is a wireless communication system conforming to 5G New Radio (NR), and includes a Next Generation-Radio Access Network 20 (hereinafter, NG-RAN 20) and a terminal 200 (User Equipment 200, hereinafter, UE 200).

[0014] The wireless communication system 10 may be a wireless communication system conforming to a scheme called Beyond 5G, 5G Evolution, or 6G, or may include a wireless communication system conforming to a scheme called Long Term Evolution (LTE) or 4G. The wireless communication system 10 may support functions related to the Industrial Internet of Things (IIoT) and URLLC (Ultra-Reliable and Low Latency Communications). The wireless communication system 10 may also be configured using multiple radio access technologies (RATs), for example, 4G / LTE and 5G.

[0015] The NG-RAN 20 includes a radio base station 100 (hereinafter, gNB 100). Note that the specific configuration of the radio communication system 10, including the number of gNBs (or eNBs) and UEs, is not limited to the example shown in FIG. 1 .

[0016] The gNB 100 may also employ a fronthaul (FH) interface defined by the Open Radio Access Network Alliance (O-RAN). The gNB 100 may include an O-RAN Distributed Unit (O-DU) and an O-RAN Radio Unit (O-RU). The gNB 100 can function as a type of NG-RAN node.

[0017] The NG-RAN 20 actually includes multiple NG-RAN nodes, specifically, gNBs (or ng-eNBs), and is connected to a 5G-compliant core network (5GC, not shown). In the 5GC, the concept of CUPS (Control and User Plane Separation) may be introduced, in which the functions of the user plane and the control plane are clearly separated.

[0018] The NG-RAN 20 may be connected to the OAM / RIC 40 and the NF 50 via 5GC or directly from the NG-RAN 20. The OAM / RIC 40 (which may also be referred to as a network device) can provide functions related to operation and maintenance (OAM) of the wireless communication system 10. The OAM / RIC 40 can also provide functions related to control of the NG-RAN 20 (RIC: RAN Intelligent Controller). Specific functions of the RIC are defined by the O-RAN specifications (e.g., O-RAN Architecture-Description 6.0). In this embodiment, the OAM / RIC 40 may constitute an entity that performs operation, maintenance, or control.

[0019] The NF 50 may be interpreted as a logical node that provides a network function. The NF 50 may include an Access and Mobility Management Function (AMF) that is included in the 5G system architecture and provides access and mobility management functions for the UE 200, a Session Management Function (SMF) that provides session management functions, and a Location Management Function (LMF) that controls communications related to location-based services defined in 5GC. Furthermore, a UDM / UDR (Unified Data Management / User Data Repository) may be connected to the AMF and / or SMF. The NG-RAN 20 and 5GC may simply be referred to as a "network."

[0020] Furthermore, the NG-RAN 20 may be connected to a server managed by a 3GPP service provider or a server (3GPP or non-3GPP server) managed by a party other than the provider.

[0021] The gNB100 is a radio base station conforming to NR, and performs radio communication conforming to NR with the UE200. The gNB100 may be configured with a CU (Central Unit) and a DU (Distributed Unit), and the DU may be separated from the CU and installed in a different geographical location. One or more DUs may be connected to the CU. The gNB100 (gNB-CU) may be connected to each other via an Xn interface, and the CU and DU may be connected to each other via an F1 interface.

[0022] The gNB 100 and the UE 200 can support Massive MIMO, which generates a more directional beam BM by controlling radio signals transmitted from multiple antenna elements, Carrier Aggregation (CA), which aggregates and uses multiple component carriers (CCs), and Dual Connectivity (DC), which simultaneously communicates between the UE and multiple NG-RAN nodes. The UE 200 may also perform handover (HO) to a different RAT.

[0023] In the wireless communication system 10, artificial intelligence (AI) / machine learning (ML) may be applied in the NG-RAN 20. Specifically, a learning model (herein referred to as an AI / ML model) may be used to optimize the mobility or handover (which may also be read as transition, cell transition, cell selection, cell reselection, etc.) of the UE 200.

[0024] The AI / ML model may be expressed by another term meaning AI or ML, such as an artificial intelligence (AI) model or a machine learning (ML) model. In the wireless communication system 10, the mobility or handover of the UE 200 can be optimized using such an AI / ML model. The AI / ML model may be provided on the network side, specifically, in the OAM / RIC 40, or in the gNB 100 (which may be referred to as an NW-side model). Alternatively, the AI / ML model may be provided in the UE 200 (which may be referred to as a UE-side model).

[0025] For the UE-side model, a functionally based life cycle management (F-LCM) procedure may be applied. The F-LCM procedure may include model training, model inference, and performance monitoring. The details of model training, model inference, and performance monitoring will be described later. Note that the F-LCM procedure does not necessarily include data collection and model transfer / distribution.

[0026] Furthermore, in the wireless communication system 10, not only mobility control of the UE 200 in layer 3 (which may be referred to as L3 mobility) but also mobility control in layer 1 and / or layer 2 (L1 / L2 mobility) may be applied. L3 mobility may be interpreted as mobility control in the radio resource control layer (RRC). Meanwhile, L1 / L2 mobility may be interpreted as mobility control in the physical layer (PHY), medium access control layer (MAC), radio link control layer (RLC), and packet data convergence protocol layer (PDCP).

[0027] In a broad sense, the mobility of UE200 may mean the ease of movement and maneuverability of UE200, but in this embodiment, it may also mean minimizing call drops, radio link (including beam) failures, unnecessary handovers, ping-pong states, etc.

[0028] (2) Functional block configuration of wireless communication system Next, a functional block configuration of the wireless communication system 10 will be described. Specifically, the functional block configurations of the gNB 100 and the UE 200 will be described. Fig. 2 is a functional block configuration diagram of the gNB 100. Fig. 3 is a functional block configuration diagram of the UE 200.

[0029] (2.1) gNB100 As shown in FIG. 2, the gNB 100 includes a radio communication unit 110, a UE capability processing unit 120, an AI / ML model unit 130, and a control unit 140.

[0030] The wireless communication unit 110 transmits downlink signals (DL signals) conforming to NR. The wireless communication unit 110 also receives uplink signals (UL signals) conforming to NR. The wireless communication unit 110 may transmit DL signals and receive UL signals using one or more transmission / reception points (TRPs). In this embodiment, a TRP may be interpreted as meaning multiple DL transmission antennas.

[0031] The UE capability processing unit 120 performs processing related to the capabilities of the UE 200. Specifically, the UE capability processing unit 120 can manage capabilities (which may be read as functions) supported by the UE 200 or capabilities (functions) applicable to the UE 200. For example, the UE capability processing unit 120 may transmit to the UE 200 a message (e.g., UECapabilityEnquiry) inquiring of the UE 200 about functions supported or applicable by the UE 200.

[0032] The managed information may include functions related to the AI / ML model, such as functions supported by the UE 200 with respect to the AI / ML model (which may be referred to as supported functionalities) and functions that can be reported to the network using UE Assistance Information (UAI) and that the UE can apply (which may be referred to as applicable functionalities).

[0033] The AI / ML model unit 130 executes processing using a learning model (AI / ML model). For example, the AI / ML model unit 130 may execute processing using an AI / ML model applied to optimization of mobility and / or handover of the UE 200. Here, it is assumed that the AI / ML model is a NW-side model in which the AI / ML model is provided on the network (gNB 100) side.

[0034] The targets of prediction by the AI / ML model are not particularly limited, but may include, for example, quality measurements (such as cell quality measurements (RSRP)), probability of handover failure (HOF), probability of radio link failure (RLF), etc.

[0035] Furthermore, the AI / ML model unit 130 may perform data collection, model training, model inference, and model management / performance monitoring for the implemented AI / ML model.

[0036] The control unit 140 controls each functional block constituting the gNB 100. In particular, in this embodiment, the control unit 140 controls the AI / ML model unit 130, and can use the prediction results by the AI / ML model for setting and controlling the UE 200.

[0037] For example, the control unit 140 may perform mobility control of the UE 200, including handover, based on the cell quality measurement results and HOF / RLF reports acquired from the UE 200. The measurement results and reports may be predicted using an AI / ML model.

[0038] In this embodiment, the channels include a control channel and a data channel. The control channels include a physical downlink control channel (PDCCH), a physical uplink control channel (PUCCH), a physical random access channel (PRACH), and a physical broadcast channel (PBCH).

[0039] The data channels include a physical downlink shared channel (PDSCH) and a physical uplink shared channel (PUSCH).

[0040] The reference signal includes a Demodulation Reference Signal (DMRS), a Sounding Reference Signal (SRS), a Phase Tracking Reference Signal (PTRS), and a Channel State Information-Reference Signal (CSI-RS), and the signal includes a channel and a reference signal. Furthermore, the data may refer to data transmitted via a data channel.

[0041] (2.2)UE200 As shown in FIG. 3, the UE 200 includes a radio communication unit 210, an AI / ML model unit 220, a UE capability setting unit 230, and a control unit 240.

[0042] The wireless communication unit 210 transmits an uplink signal (UL signal) conforming to NR. The wireless communication unit 210 also receives an uplink signal (DL signal) conforming to NR.

[0043] The AI / ML model unit 220 executes processing using a learning model (AI / ML model). The AI / ML model unit 220 may have functions similar to those of the AI / ML model unit 130 of the gNB 100. The AI / ML model unit 220 may execute data collection, model training, model inference, model management / performance monitoring, and the like for the implemented AI / ML model.

[0044] Furthermore, as described above, the AI / ML model unit 220 may be provided in either the gNB 100 or the UE 200, or may be provided in both. Here, a UE-side model in which the AI / ML model is provided on the UE 200 side is assumed.

[0045] For example, the AI / ML model unit 220 can predict the occurrence of handover failure (HOF) or radio link failure (RLF). Specifically, the AI / ML model unit 220 may predict the probability of HOF / RLF occurrence in a serving cell or a neighboring cell (which may also be referred to as an adjacent cell, a peripheral cell, etc.). The probability of beam-level failure (BF) occurrence may also be included. The occurrence probability may be represented by a percentage or by multiple stages.

[0046] Furthermore, the AI / ML model unit 220 may transmit information related to the configuration of the UE-side model to the network (gNB100). For example, the AI / ML model unit 220 may transmit at least one of the network-side conditions related to the AI / ML model and the identification information used under the conditions to the network, along with a report of supported functionalities related to the AI / ML model implemented in the UE 200. In this embodiment, the AI / ML model unit 220 may constitute a transmission unit that transmits the network-side conditions related to the AI / ML model or the identification information used under the conditions.

[0047] More specifically, the network-side conditions related to the AI / ML model may be interpreted as network-side conditions that affect the dataset used to train the AI / ML model. These conditions may also be called NW-side additional conditions. In other words, the NW-side additional conditions may be rephrased as conditions due to the network's circumstances that affect the AI / ML model implemented in UE 200. These conditions may be a single condition or a combination of multiple conditions. These conditions may include a mapping relationship between set A and set B including ordering (of ID sets or resources), matching of downlink spatial-domain transmit filters corresponding to beams in set A and set B, and assumption of quasi-co-location (QCL).

[0048] The identification information used under these conditions may be interpreted as an ID (Associated ID) used to identify a data set under specific NW-side additional conditions within a cell.

[0049] The AI / ML model unit 220 may transmit at least one of the above-mentioned conditions and identification information based on the permission to report supported functionalities received by the UE capability setting unit 230 from the network.

[0050] The UE capability setting unit 230 can perform various settings related to the capabilities (functions) of the UE 200. For example, the UE capability setting unit 230 may transmit information indicating the UE capabilities (UE Capability Information) to the network (gNB 100).

[0051] In particular, in this embodiment, the UE capability setting unit 230 may transmit to the network functions related to the AI / ML model implemented in the UE 200. Specifically, the UE capability setting unit 230 may transmit to the network additional information related to the applicable functions together with a report of the applicable functions related to the learning model. In this embodiment, the UE capability setting unit 230 may constitute a transmission unit that transmits the additional information related to the applicable functions.

[0052] The applicable functionalities may be interpreted as functions that the AI / ML model unit 220 has determined to be applicable in response to an instruction from the network, etc., regarding the AI / ML model implemented in the UE 200. The functions may be, for example, functions related to prediction or compensation by the AI / ML model (e.g., beam, location information, CSI, etc.). Like the applicable functions, the supported functionalities may also be functions related to prediction or compensation by the AI / ML model.

[0053] The AI / ML model unit 220 may determine applicable functionalities in multiple intervals (which may be called periodicity X1) within the period until the expiration of a specific timer (here, for convenience, called Timer Y1) that is started based on the timing of receiving an instruction from the network (for example, OtherConfig, described later).

[0054] The UE capability setting unit 230 may transmit, as additional information, at least one of the types of applicable functionalities and the types of non-applicable functionalities related to the AI / ML model determined by the AI / ML model unit 220 based on the network configuration. The non-applicable functionalities may be interpreted as functions related to the AI / ML model that the UE 200 has determined not to apply based on the network configuration. The types of functions may be, for example, functions related to prediction or compensation by the AI / ML model as described above.

[0055] The UE capability setting unit 230 may transmit the reason for determining the non-applicable functionalities as additional information. Specifically, when reporting the type of the determined non-applicable functionalities, the UE capability setting unit 230 may also report the reason for determining the non-applicable functionalities (for example, not implemented).

[0056] Furthermore, the UE capability setting unit 230 may transmit, as additional information, at least one of network-side conditions related to the AI / ML model that are associated with applicable or non-applicable functionalities (NW-side additional conditions) and identification information (Associated ID) used under the conditions. The conditions associated with applicable or non-applicable functionalities may be NW-side additional conditions, as described above. In other words, they may be interpreted as network-side conditions that affect the dataset used to train the AI / ML model and that are associated with applicable or non-applicable functionalities.

[0057] The UE capability setting unit 230 may receive an inquiry including permission to report the supported functionalities from the network. In this embodiment, the UE capability setting unit 230 may configure a receiving unit that receives an inquiry including permission to report the supported functionalities. The inquiry may be the above-mentioned UECapabilityEnquiry. However, it does not necessarily have to be UECapabilityEnquiry, and the network may appropriately transmit permission to report the supported functionalities to the UE 200.

[0058] Furthermore, the UE capability setting unit 230 may perform processing related to the determination of applicable functionalities. For example, the UE capability setting unit 230 may perform configuration related to reporting of applicable functionalities. Specifically, the UE capability setting unit 230 may receive a message from the network instructing configuration related to reporting of applicable functionalities.

[0059] The type of the message is not particularly limited, but for example, OtherConfig defined in 3GPP TS38.331 may be used. The OtherConfig information element (IE) can indicate other miscellaneous configurations and may be included in RRC Reconfiguration, which is a message of the RRC layer.

[0060] The UE capability setting unit 230 may determine the applicable functionalities based on the instruction contents of the setting included in OtherConfig. Note that the UE capability setting unit 230 may determine the applicable functionalities based not necessarily on OtherConfig but on, for example, the instruction contents of the setting included in UECapabilityEnquiry or the instruction contents of the setting included in the setting related to inference of the AI / ML model (inference configuration).

[0061] Furthermore, the UE capability setting unit 230 may report the determined applicable functionalities to the network in a plurality of intervals (which may be referred to as periodicity X2) provided within a period until a specific timer (herein referred to as Timer Y2 for convenience) expires. Furthermore, after reporting the determined applicable functionalities to the network, the UE capability setting unit 230 may activate the applicable functionalities within a period until a specific timer (herein referred to as Timer Y3 for convenience) expires.

[0062] The control unit 240 controls each functional block constituting the UE 200. In particular, in this embodiment, the control unit 240 can execute control using an AI / ML model. Specifically, the control unit 240 controls the AI / ML model unit 220, and may execute setting and control using prediction results of the state of the UE 200 (for example, whether or not it is moving, the direction of movement, the movement speed, etc.) and parameters related to quality measurement such as cell quality.

[0063] (3) Operation of the wireless communication system Next, a description will be given of the operation of the wireless communication system 10. Specifically, a description will be given of the operation related to a function-based life cycle management (F-LCM) procedure applied to a UE-side model in which an AI / ML model is provided in the UE 200.

[0064] (3.1) Example of AI / ML Model Configuration Figure 4 shows an example of the functional architecture of an AI / ML model. As shown in Figure 4, the architecture may include the following functions:

[0065] Data collection: Providing input data for model training and model inference functions.

[0066] Model training: Train, validate, and test ML models. Model performance metrics may be generated as part of the model testing procedure.

[0067] The model training function may also be responsible for data preparation (data preprocessing and cleaning, formatting, transformation, etc.).

[0068] Model inference: Provides inference output (such as predictions or decisions). The model inference function may provide control of the model inference to the model management / performance monitoring function.

[0069] Model Management / Performance Monitoring: Manage ML models and monitor model performance.

[0070] As described above, the targets of the F-LCM procedure may include model training, model inference, performance monitoring, etc. Note that the targets of the F-LCM procedure do not necessarily include data collection and model transfer / distribution (however, this does not exclude the inclusion of such functions in the F-LCM procedure).

[0071] The following operation example relates to the F-LCM procedure, particularly to the phase from post-training of the AI / ML model to model inference. Specifically, the operation example may cover reporting of UE capabilities, reporting of applicable functionalities, and configuration of inference for the AI / ML model.

[0072] The definitions of terms related to the F-LCM procedure are as follows:

[0073] NW-side additional conditions: Network-side conditions that affect the dataset used to train the AI / ML function / model. For example, these may include the following:

[0074] A mapping relationship between set A and set B, including ordering on (a set of IDs or resources) Matching of downlink spatial domain transmit filters corresponding to beams of Set A and Set B Quasi-collocation (QCL) assumptions · Model input and output order The relationship between the reference signal (RS) and the transmit (Tx) beam may be predefined.

[0075] Transmission power ·UE distribution Antenna height Deployment scenarios (e.g., Inter-Site Distance (ISD), Urban Micro (Umi) / Urban Macro (Uma)) UE-side additional conditions: UE-side conditions that affect the dataset used to train the AI / ML features / models. For example, these may include:

[0076] UE speed (movement speed) Application scenarios Hardware capabilities · Associated ID: Identification information (ID) used to identify a dataset under network-side additional conditions within a cell.

[0077] · Model availability: Indicates whether a model of a particular function is available on the UE side.

[0078] Inference Configuration (IC): A configuration from the network to the UE that allows the UE to perform inference using AI / ML functions / models. For example, the resource configuration for Set A and Set B in Beam (BM~-Case 1 / 2).

[0079] Application Determination Group (ADG): A functional group in which the UE checks model availability and UE-side additional conditions.

[0080] (3.2) Prerequisites and Issues Figure 5 shows an example sequence of the F-LCM procedure of the UE-side model. Specifically, Figure 5 shows an example sequence of the F-LCM procedure of the UE-side model, particularly in the phase from after training of the AI / ML model to model inference.

[0081] As shown in Figure 5, reporting of UE capabilities (steps 1 and 2), reporting of applicable functionalities (steps 3 and 4), and inference configuration (step 5) may be performed between the UE and the network (gNB).

[0082] The current F-LCM procedure of the UE-side model described above has the following problems.

[0083] (Issue 1): Without the information in step 2 of Figure 5, the network may configure redundant functions for the applicability check in step 3, which increases the processing time and complexity of the UE.

[0084] To solve this problem, operation example 0 and operation example 1 described below may be performed.

[0085] (Issue 2): In step 3 of Figure 5, after configuring the reporting of applicable functionalities from the network to the UE, it is not clear how the UE determines applicable functionalities according to different configurations for the UE.

[0086] To solve this problem, the second operational example described below may be executed.

[0087] (Issue 3): In step 3 of Figure 5, after configuring the reporting of applicable functionalities from the network to the UE and determining the corresponding applicability (determining the applicable functionalities), the content and method of the reporting of applicable functionalities by the UE (step 4) are unclear.

[0088] To solve this problem, the operation example 3 described below may be executed.

[0089] (Issue 4): After reporting applicable functionalities in step 4 of Figure 5, it is unclear when and how to activate the functionality.

[0090] To solve this problem, the operation example 4 described below may be executed.

[0091] (3.3) Example of operation (3.3.1) Example 0 6 shows a part of a sequence relating to the F-LCM procedure of the UE-side model according to operation example 0. Specifically, FIG. 6 shows step 1 of the sequence shown in FIG.

[0092] The UE may obtain the following optional information in the UE capability notification request via UECapabilityEnquiry (step 1):

[0093] (Option 1) (default): Allows the UE to report supported functionalities.

[0094] (Option 2): Allows the UE to report supported NW-side additional conditions and / or Associated IDs.

[0095] (Option 3): Allows the UE to report NW-side additional conditions and / or Associated IDs for certain supported functionalities.

[0096] (3.3.2) Example 1 The UE may report NW-side additional conditions and / or Associated IDs together with each of the supported functionalities in reporting the UE capabilities in UE Capability Information (step 2).

[0097] This allows the network to compare the NW-side additional conditions and / or Associated ID with the current conditions of the network (gNB), select those that meet the UE's requirements, and confirm applicability. In other words, the network may change the NW-side additional conditions so that certain functions become applicable functionalities.

[0098] The NW-side additional conditions and / or Associated ID may be obtained by the following methods.

[0099] (Option 1): Data collection-related settings and / or instructions (Option 2): Data transfer related settings and / or instructions (Option 3): Offline adjustment (instruction) (Option 4): Logged NW-side additional conditions and / or associated ID, corresponding cell ID obtained from previous handover procedure The NW-side additional conditions and / or Associated IDs supported by the UE may be reported by any of the following:

[0100] (Alt. 1): Dedicated ID (Alt. 2): Bitmap (see Figure 7) FIG. 7 shows a part of a sequence related to the F-LCM procedure of the UE-side model according to the first operation example. Specifically, FIG. 7 shows step 2 of the sequence shown in FIG. 5. As shown in FIG. 7, combinations of supported functionalities and NW-side additional conditions / Associated IDs may be indicated by a bitmap. The supported functionalities are not limited to F1 to F6, and may be more or less. CSI SF may mean Spatial Frequency, and TSF may mean Temporal Spatial Frequency.

[0101] The NW-side additional conditions / Associated IDs may be represented by #1 to #6, but the NW-side additional conditions / Associated IDs are not limited to #1 to #6 and may be more or less. "1" may mean true and "0" may mean false, but the reverse is also possible. #1 to #6 may be associated with specific NW-side additional conditions / Associated IDs.

[0102] (3.3.3) Example 2 The UE may determine the applicability of functions according to the rules specified or configured in response to different configurations from the network to the UE (step 3). The specification or configuration may be performed by the method described in Note 2 below (hereinafter the same).

[0103] Fig. 8 shows a first example of combinations of supported functionalities applicable to the F-LCM procedure of the UE-side model and NW-side additional conditions / Associated IDs according to the second operation example. In the example shown in Fig. 8, all supported functionalities (F1 to F6) may be included in the ADG (see the arrows in the figure). The UE may report applicable functionalities to the network using a UAI based on OtherConfig received from the network.

[0104] That is, the UE may be permitted to report via UAI by OtherConfig. Such reporting may be interpreted as proactive reporting by the UE. The UE may determine applicable functionalities (Applicability determination) based on the availability of the AI / ML model (Model availability) and UE-side additional conditions. In the example of FIG. 8, F1, F4, and F6, for which both Model availability and UE-side additional conditions are "1," are determined as applicable functionalities.

[0105] Fig. 9 shows a second example of a combination of supported functionalities applicable to the F-LCM procedure of the UE-side model and NW-side additional conditions / Associated IDs according to the second operation example. In the example shown in Fig. 9, F2 and F6 may be included in the ADG. The ADG may be configured by supported functionalities that satisfy the NW-side additional conditions / Associated IDs.

[0106] In addition, the UE may be permitted to report by UAI using OtherConfig, and NW-side additional conditions / Associated ID may be specified. In the example shown in Fig. 9, Associated ID #2 is specified, and F6, whose Model availability and UE-side additional conditions are both "1", is determined as the applicable functionalities.

[0107] Fig. 10 shows a third combination example of supported functionalities applicable to the F-LCM procedure of the UE-side model according to the second operation example, and NW-side additional conditions / Associated IDs. In the example shown in Fig. 10, F1 and F4 may be included in an ADG. The ADG may be configured by supported functionalities having an inference configuration. Furthermore, the UE may be permitted to report by UAI according to OtherConfig. In the example shown in Fig. 10, F1 and F4, for which both Model availability and UE-side additional conditions are "1", are determined as applicable functionalities.

[0108] Fig. 11 shows a fourth combination example of supported functionalities applicable to the F-LCM procedure of the UE-side model according to the second operation example, and NW-side additional conditions / Associated IDs. In the example shown in Fig. 11, inference configurations of BM-Case 1 and CSI prediction are set. The ADG may have an inference configuration and be configured with supported functionalities that satisfy the NW-side additional conditions / Associated IDs.

[0109] In addition, the UE may be permitted to report by UAI using OtherConfig, and NW-side additional conditions / Associated ID may be specified. In the example shown in Fig. 11, Associated ID #5 is specified, and F1, whose Model availability and UE-side additional conditions are both "1", is determined as the applicable functionalities.

[0110] Fig. 12 shows an example sequence of an operation for determining applicable functionalities according to operation example 2. As shown in Fig. 12, the UE may determine the function applicability for functions included in the ADG according to one of the following options within a period (Periodicity X1) from slot N1 until Timer Y1 expires.

[0111] (Option 1): Slot N1 is the slot in which the UE receives the reporting configuration of applicable functionalities via OtherConfig.

[0112] (Option 2): Slot N1 is the slot in which the UE sends a hybrid automatic repeat request (HARQ) ACK / NACK for reporting applicable functionalities via OtherConfig.

[0113] · (Option 3): Slot N1 is the slot in which the UE receives a dedicated message to trigger feature applicability determination.

[0114] Such reporting may be interpreted as reactive reporting by the UE.

[0115] (3.3.4) Example 3 The UE may report additional information together with the determined applicable functionalities by the method described below in Note 3. The following options may be applied to the report, and the specification or configuration of the options may be performed by the method described below in Note 2.

[0116] (Option 1): UE determines applicable functionalities (Option 2): UE-determined non-applicable functionalities Option 2 is non-application due to a mismatch in NW-side additional conditions / Associated ID, and can help the network determine whether or not to apply the function when the NW-side additional conditions are changed.

[0117] (Option 3): Reasons for inapplicable features (Option 4): Candidates for NW-side additional conditions / Associated IDs associated with applicable or inapplicable features (Option 5): A combination of options 1 to 4 Fig. 13 shows a part of a sequence related to the F-LCM procedure of the UE-side model according to operation example 3. Specifically, Fig. 13 shows step 4 of the sequence shown in Fig. 5. In the example shown in Fig. 13, F1 is determined to be an applicable functionality, and F4 is determined to be a non-applicable functionality. Associated IDs #1, 3, and 5, each with a bit set to "1", are set as candidates for F1, and Associated IDs #1 and 3 are set as candidates for F4. The UE may include such content in a report of applicable functionalities.

[0118] The UE may trigger the reporting of applicable functionalities (step 4) if any of the following options are met:

[0119] (Option 1): When Timer Y1 in Example 2 expires (Option 2): When you have determined applicable or non-applicable functionalities (Option 3): When NW-side additional conditions / Associated ID or inference configuration changes (Option 4): When UE-side additional conditions change (Option 5): When Model availability changes (Option 6): A combination of options 1 to 5 Fig. 14 shows an example sequence of triggering a report of applicable functionalities according to operation example 3. As shown in Fig. 14, the UE may trigger a report of applicable functionalities within a period (Periodicity X2) from slot N2 until Timer Y2 expires. Slot N2 may be the slot when the UE triggers a report of applicable functionalities.

[0120] (3.3.5) Example 4 The UE may activate applicable functionalities according to one of the following options, which may be specified or configured by the method described in Note 2 below.

[0121] (Option 1): If the applicable functionalities in the report of applicable functionalities (step 4) are not empty and the inference configuration has been acquired in step 3, the UE may activate the reported applicable functionalities for the period up to the expiration of Timer Y3 based on slot N2.

[0122] (Option 2): If the applicable functionalities in the report of applicable functionalities (step 4) are not empty and the inference configuration has been acquired in step 5, the UE may activate the reported applicable functionalities for the period up to the expiration of Timer Y3 based on slot N3.

[0123] Slot N3 may be determined according to one of the following options:

[0124] (Option 2-1): The slot where the UE obtained the inference configuration (step 5).

[0125] (Option 2-2): The slot in which the UE transmits HARQ ACK / NACK to acquire the inference configuration (step 5).

[0126] · (Option 2-3): The slot in which the UE receives a dedicated activation / deactivation message.

[0127] The dedicated activation / deactivation messages may be shared with activation / deactivation messages of other functions, such as activation / deactivation messages for CSI reports and activation / deactivation messages for secondary cells.

[0128] (3.4)UE ability The UE may report the following UE Capability Information to the network:

[0129] Sections X1 and X2 Timer Y1, Y2, Y3 Slots N1, N2, N3 Support for each option or combination of options The UE capability information may be specified for each UE, frequency range (FR), frequency channel (FC), etc. Furthermore, RRC signaling and configuration for reporting the UE capability information may be specified. The UE capability signaling may be per UE, per FR, per TDD / FDD, per band, per BC (Band Combination), per FS (Feature Set), or per FSPC (Feature Set Per CC).

[0130] According to the above-described operational example, in the F-LCM procedure of the UE-side model, specifically, in the phase from after training of the AI / ML model to model inference, the UE can report supported functionalities and applicable functionalities as well as related information (NW-side additional conditions / Associated ID, non-applicable functionalities, etc.) to the network.

[0131] This enables the UE and the network to appropriately change NW-side additional conditions, etc., and to execute a more appropriate and efficient UE-side model F-LCM procedure.

[0132] (3.5) Notes (3.5.1) Note 1 For the above-described example operations and options (including alternatives), at least one of the following may apply:

[0133] -Settings based on upper layer parameters -Determined by relevant higher-level parameters -Instruction by MAC CE (Control Element) or DCI (Downlink Control Information) Decision based on UE capability(ies) -Specified by 3GPP specifications (including conditions) -Determined by higher layer parameters / MAC CE / DCI settings and reported UE capability Also, multiple options and alternatives may be combined into one option / alternative. The UE may expect that at least one of the operation examples, options (alternatives) is applied only if it reports that it supports a particular feature or model.

[0134] (3.5.2) Note 2 The UE may obtain the following types of information from the network:

[0135] Higher layer signaling (RRC messages, etc.) MAC CE MAC CE with new Logical Channel ID (LCID) in the subheader Extension of existing MAC CE (e.g., introduction of new octets) DCI DCI Field: Existing DCI field or new DCI field RNTI: DCI with CRC (Cyclic Redundancy Checksum) scrambled by existing RNTI or new RNTI DCI format: existing DCI format or new DCI format A combination of the above The UE may obtain information about the periodicity from the network as follows:

[0136] ·periodically ·semi-persistent ·Aperiodic In the semi-persistent or aperiodic case, it may be triggered by instruction from the UE or gNB.

[0137] (3.5.3) Note 3 The UE may report the following types of information to the network:

[0138] Higher layer signaling (RRC messages, etc.) MAC CE MAC CE with new Logical Channel ID (LCID) in the subheader Extension of existing MAC CE (e.g., introduction of new octets) ·UCI(Uplink Control Information) UCI for PUCCH or PUSCH A combination of the above (3.5.4) Note 4 A capability is a set of parameters based on the conditions indicated by a UE capability / UE feature / FG report (e.g., a set of parameters for CSI prediction, beam prediction, CSI compression), and may be replaced with other terms with similar meaning, such as a parameter set / set / configuration.

[0139] (4) Other embodiments The contents of the present proposal have been explained above in accordance with the embodiments, but it will be obvious to those skilled in the art that the present proposal is not limited to these descriptions and that various modifications and improvements are possible.

[0140] In the above description, configure, activate, update, indicate, enable, specify, and select may be interchangeable. Similarly, link, associate, correspond, and map may be interchangeable, and allocate, assign, monitor, and map may be interchangeable.

[0141] Furthermore, specific, dedicated, UE-specific, and UE-dedicated may be interchangeable. Similarly, common, shared, group-common, UE-common, and UE-shared may be interchangeable.

[0142] In the present disclosure, terms such as "precoding," "precoder," "weight (precoding weight)," "Quasi-Co-Location (QCL)," "Transmission Configuration Indication state (TCI state)," "spatial relation," "spatial domain filter," "transmit power," "phase rotation," "antenna port," "antenna port group," "layer," "number of layers," "rank," "resource," "resource set," "resource group," "beam," "beam width," "beam angle," "antenna," "antenna element," "panel," etc. may be used interchangeably.

[0143] Furthermore, the block diagrams (FIGS. 2 and 3) used in the description of the above-described embodiments show functional blocks. These functional blocks (components) are realized by any combination of at least one of hardware and software. Furthermore, the method of realizing each functional block is not particularly limited. That is, each functional block may be realized using a single device that is physically or logically coupled, or may be realized using two or more physically or logically separated devices that are connected directly or indirectly (for example, by wire, wirelessly, etc.) and these multiple devices. The functional block may also be realized by combining the single device or multiple devices with software.

[0144] Functions include, but are not limited to, judgment, determination, judgment, calculation, computation, processing, derivation, investigation, search, confirmation, reception, transmission, output, access, resolution, selection, election, establishment, comparison, assumption, expectation, consideration, broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, and assignment. For example, a functional block (component) that performs transmission is called a transmitting unit or transmitter. As mentioned above, there are no particular limitations on how each is implemented.

[0145] Furthermore, the above-described gNB100 and UE200 (the device) may function as a computer that performs processing of the wireless communication method of the present disclosure. Figure 15 is a diagram showing an example of the hardware configuration of the device. As shown in Figure 15, the device may be 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.

[0146] In the following description, the term "apparatus" can be interpreted as a circuit, a device, a unit, etc. The hardware configuration of the apparatus may be configured to include one or more of the apparatuses shown in the drawings, or may be configured to exclude some of the apparatuses.

[0147] Each functional block of the device (see FIGS. 2 and 3) is realized by any hardware element of the computer device or a combination of the hardware elements.

[0148] In addition, each function of the device is realized by loading specified software (programs) onto hardware such as processor 1001 and memory 1002, causing processor 1001 to perform calculations, control communication via communication device 1004, and control at least one of reading and writing data in memory 1002 and storage 1003.

[0149] The processor 1001 controls the entire computer by running, for example, an operating system, and may be configured as a central processing unit (CPU) including an interface with peripheral devices, a control unit, an arithmetic unit, a register, and the like.

[0150] The processor 1001 also reads programs (program codes), software modules, data, etc. from at least one of the storage 1003 and the communication device 1004 into the memory 1002, and executes various processes in accordance with these. The programs used are those that cause a computer to execute at least some of the operations described in the above-mentioned embodiments. Furthermore, the various processes described above may be executed by one processor 1001, or may be executed simultaneously or sequentially by two or more processors 1001. The processor 1001 may be implemented by one or more chips. The programs may be transmitted from a network via a telecommunications line.

[0151] The memory 1002 is a computer-readable recording medium and may be configured by, for example, at least one of a read-only memory (ROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a random access memory (RAM), etc. The memory 1002 may also be called a register, a cache, a main memory (primary storage device), etc. The memory 1002 can store a program (program code), a software module, etc., that can execute a method according to an embodiment of the present disclosure.

[0152] Storage 1003 is a computer-readable recording medium, and may be, for example, at least one of an optical disk such as a Compact Disc ROM (CD-ROM), a hard disk drive, a flexible disk, a magneto-optical disk (e.g., a compact disk, a digital versatile disk, a Blu-ray disc), a smart card, a flash memory (e.g., a card, a stick, a key drive), a floppy disk, a magnetic strip, etc. Storage 1003 may also be referred to as an auxiliary storage device. The above-mentioned recording medium may be, for example, a database, a server, or other appropriate medium including at least one of memory 1002 and storage 1003.

[0153] The communication device 1004 is hardware (transmission / reception device) for communicating between computers via at least one of a wired network and a wireless network, and is also called, for example, a network device, a network controller, a network card, or a communication module.

[0154] The communication device 1004 may be configured to include a high-frequency switch, a duplexer, a filter, a frequency synthesizer, etc. to realize, for example, at least one of Frequency Division Duplex (FDD) and Time Division Duplex (TDD).

[0155] The input device 1005 is an input device (for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, etc.) that receives input from the outside. The output device 1006 is an output device (for example, a display, a speaker, an LED lamp, etc.) that outputs to the outside. The input device 1005 and the output device 1006 may be integrated into one device (for example, a touch panel).

[0156] Furthermore, each device such as the processor 1001 and the memory 1002 is connected to 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.

[0157] Furthermore, the device 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 by the hardware. For example, the processor 1001 may be implemented using at least one of these pieces of hardware.

[0158] Furthermore, the notification of information is not limited to the aspects / embodiments described in the present disclosure, and may be performed using other methods. For example, the notification of information may be performed by physical layer signaling (e.g., Downlink Control Information (DCI), Uplink Control Information (UCI)), higher layer signaling (e.g., RRC signaling, Medium Access Control (MAC) signaling, broadcast information (Master Information Block (MIB), System Information Block (SIB))), other signals, or a combination thereof. Furthermore, the RRC signaling may be referred to as an RRC message, and may be, for example, an RRC Connection Setup message, an RRC Connection Reconfiguration message, or the like.

[0159] Each aspect / embodiment described in the present disclosure may be applied to at least one of a system using Long Term Evolution (LTE), LTE-Advanced (LTE-A), SUPER 3G, IMT-Advanced, a 4th generation mobile communication system (4G), a 5th generation mobile communication system (5G), a 6th generation mobile communication system (6G), an xth generation mobile communication system (xG) (where x is, for example, an integer or a decimal), Future Radio Access (FRA), New Radio (NR), W-CDMA (registered trademark), GSM (registered trademark), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), or other suitable systems, and next-generation systems enhanced based on these. In addition, a combination of multiple systems (for example, a combination of at least one of LTE and LTE-A with 5G) may be applied.

[0160] The order of the procedures, sequences, flowcharts, etc. of each aspect / embodiment described in this disclosure may be changed unless it is consistent. For example, the methods described in this disclosure present elements of various steps using an example order, and are not limited to the particular order presented.

[0161] In the present disclosure, a specific operation described as being performed by a base station may also be performed by its upper node in some cases. In a network consisting of one or more network nodes having a base station, it is clear that various operations performed for communication with a terminal may be performed by at least one of the base station and another network node other than the base station (for example, an MME or an S-GW, etc., but are not limited to these). Although the above example illustrates a case where there is one other network node other than the base station, a combination of multiple other network nodes (for example, an MME and an S-GW) may also be used.

[0162] Information, signals (information, etc.) may be output from a higher layer (or a lower layer) to a lower layer (or a higher layer), or may be input / output via multiple network nodes.

[0163] The input and output information may be stored in a specific location (for example, memory) or may be managed using a management table. The input and output information may be overwritten, updated, or added to. The output information may be deleted. The input information may be sent to another device.

[0164] The determination may be made based on a value represented by one bit (0 or 1), a Boolean value (true or false), or a numerical comparison (e.g., comparison with a predetermined value).

[0165] Each aspect / embodiment described in this disclosure may be used alone, in combination, or switched depending on the implementation. Furthermore, notification of predetermined information (e.g., notification that "X is true") is not limited to being done explicitly, but may be done implicitly (e.g., by not notifying the predetermined information).

[0166] 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.

[0167] Software, instructions, information, etc. may also be transmitted or received over a transmission medium. For example, if software is transmitted from a website, server, or other remote source using wired technologies (such as coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL)), and / or wireless technologies (such as infrared, microwave), then these wired and / or wireless technologies are included within the definition of transmission media.

[0168] The information, signals, etc. described in this disclosure may be represented using any of a variety of different technologies. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, optical fields or photons, or any combination thereof.

[0169] Note that terms explained in this disclosure and terms necessary for understanding this disclosure may be replaced with terms having the same or similar meanings. For example, at least one of a channel and a symbol may be a signal (signaling). Furthermore, a signal may be a message. Furthermore, a component carrier (CC) may be called a carrier frequency, a cell, a frequency carrier, etc.

[0170] As used in this disclosure, the terms "system" and "network" are used interchangeably.

[0171] Furthermore, the information, parameters, etc. described in the present disclosure may be expressed using absolute values, may be expressed using relative values ​​from a predetermined value, or may be expressed using other corresponding information. For example, a radio resource may be indicated by an index.

[0172] The names used for the above-described parameters are not intended to be limiting in any way. Furthermore, the mathematical expressions using these parameters may differ from those explicitly disclosed in this disclosure. The various channels (e.g., PUCCH, PDCCH, etc.) and information elements may be identified by any suitable names, and therefore the various names assigned to these various channels and information elements are not intended to be limiting in any way.

[0173] In this disclosure, terms such as "base station (BS)," "radio base station," "fixed station," "NodeB," "eNodeB (eNB)," "gNodeB (gNB)," "access point," "transmission point," "reception point," "transmission / reception point," "cell," "sector," "cell group," "carrier," and "component carrier" may be used interchangeably. Base stations may also be referred to by terms such as macrocell, small cell, femtocell, and picocell.

[0174] A base station can accommodate one or more (e.g., three) cells (also called sectors). When a base station accommodates multiple cells, the overall coverage area of ​​the base station can be divided into multiple smaller areas, and each smaller area can be provided with communication services by a base station subsystem (e.g., a small indoor base station (Remote Radio Head: RRH)).

[0175] The terms "cell" or "sector" refer to part or all of the coverage area of ​​a base station and / or base station subsystem that provides communication services within that coverage area.

[0176] In the present disclosure, the base station transmitting information to a terminal may be interpreted as the base station instructing the terminal to control or operate based on the information.

[0177] In this disclosure, the terms "Mobile Station (MS)," "user terminal," "User Equipment (UE)," "terminal," etc. may be used interchangeably.

[0178] A mobile station may also be referred to by those skilled in the art 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.

[0179] At least one of the base station and the mobile station may be referred to as a transmitting device, a receiving device, a communication device, etc. At least one of the base station and the mobile station may be a device mounted on a mobile object, the mobile object itself, etc. The mobile object refers to a movable object, and may move at any speed. Naturally, this also includes cases where the mobile object is stationary. Examples of the mobile object include, but are not limited to, vehicles, transport vehicles, automobiles, motorcycles, bicycles, connected cars, excavators, bulldozers, wheel loaders, dump trucks, forklifts, trains, buses, handcars, rickshaws, ships and other watercraft, airplanes, rockets, satellites, drones (registered trademark), multicopters, quadcopters, balloons, and objects mounted thereon. The mobile object may also be a mobile object that moves autonomously based on an operational command. It may be a vehicle (e.g., a car, an airplane, etc.), an unmanned mobile object (e.g., a drone, an autonomous vehicle, etc.), or a robot (manned or unmanned). At least one of the base station and the mobile station may be a device that does not necessarily move during communication operations. For example, at least one of the base station and the mobile station may be an IoT (Internet of Things) device such as a sensor.

[0180] Furthermore, a base station in the present disclosure may be interpreted as a mobile station (user terminal, the same applies hereinafter). For example, the aspects / embodiments of the present disclosure may be applied to a configuration in which communication between a base station and a mobile station is replaced with communication between multiple mobile stations (which may be called, for example, Device-to-Device (D2D) or Vehicle-to-Everything (V2X)). In this case, the mobile station may be configured to have the functions of a base station. Furthermore, terms such as "uplink" and "downlink" may be interpreted as terms corresponding to communication between terminals (for example, "side"). For example, terms such as an uplink channel and a downlink channel may be interpreted as a side channel (or side link).

[0181] Similarly, a mobile station in the present disclosure may be interpreted as a base station, in which case the base station may have the functions of a mobile station.

[0182] A radio frame may be composed of one or more frames in the time domain. Each of the one or more frames in the time domain may be called a subframe. A subframe may further 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.

[0183] Numerology may be a communication parameter applied to at least one of transmission and reception of a signal or channel, such as subcarrier spacing (SCS), bandwidth, symbol length, cyclic prefix length, transmission time interval (TTI), number of symbols per TTI, radio frame structure, specific filtering operations performed by a transceiver in the frequency domain, and specific windowing operations performed by a transceiver in the time domain.

[0184] A slot may consist of one or more symbols in the time domain (such as an Orthogonal Frequency Division Multiplexing (OFDM) symbol, a Single Carrier Frequency Division Multiple Access (SC-FDMA) symbol, etc.) A slot may be a numerology-based time unit.

[0185] A slot may include multiple minislots. Each minislot may consist of one or more 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 (or PUSCH) mapping type A. A PDSCH (or PUSCH) transmitted using a minislot may be called PDSCH (or PUSCH) mapping type B.

[0186] The radio frame, subframe, slot, minislot, and symbol all represent time units for transmitting signals, and may be referred to by other names corresponding to the radio frame, subframe, slot, minislot, and symbol.

[0187] For example, one subframe may be called a transmission time interval (TTI), multiple consecutive subframes may be called a TTI, or one slot or one minislot may be called a TTI. That is, at least one of the subframe and the TTI may be a subframe (1 ms) in existing LTE, a period shorter than 1 ms (e.g., 1-13 symbols), or a period longer than 1 ms. Note that the unit representing the TTI may be called a slot, minislot, etc., instead of a subframe.

[0188] Here, TTI refers to, for example, the smallest time unit for scheduling in wireless communication. For example, in an LTE system, a base station performs scheduling to allocate radio resources (such as frequency bandwidth and transmission power that can be used by each user terminal) to each user terminal in TTI units. However, the definition of TTI is not limited to this.

[0189] The TTI may be a transmission time unit for a channel-encoded data packet (transport block), a code block, a code word, etc., or may be a processing unit for scheduling, link adaptation, etc. When a TTI is given, the time interval (e.g., the number of symbols) to which a transport block, a code block, a code word, etc. is actually mapped may be shorter than the TTI.

[0190] When one slot or one minislot is called a TTI, one or more TTIs (i.e., one or more slots or one or more minislots) may be the minimum time unit for scheduling. Also, the number of slots (minislots) constituting the minimum time unit for scheduling may be controlled.

[0191] A TTI having a time length of 1 ms may be called a regular TTI (TTI in LTE Rel. 8-12), normal TTI, long TTI, regular subframe, normal subframe, long subframe, slot, etc. A TTI shorter than a regular TTI may be called a shortened TTI, short TTI, partial or fractional TTI, shortened subframe, short subframe, minislot, subslot, slot, etc.

[0192] In addition, a long TTI (e.g., a normal TTI, a subframe, etc.) may be interpreted as a TTI having a time length of more than 1 ms, and a short TTI (e.g., a shortened TTI, etc.) may be interpreted as a TTI having a TTI length shorter than the TTI length of a long TTI and equal to or greater than 1 ms.

[0193] A resource block (RB) 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, for example, 12. The number of subcarriers included in an RB may also be determined based on numerology.

[0194] The time domain of an RB may include one or more symbols and may be one slot, one minislot, one subframe, or one TTI in length. Each TTI, subframe, etc. may be composed of one or more resource blocks.

[0195] Note that one or more RBs may also be called a physical resource block (PRB), a sub-carrier group (SCG), a resource element group (REG), a PRB pair, an RB pair, or the like.

[0196] Furthermore, a resource block may be composed of one or more resource elements (REs). For example, one RE may be a radio resource region of one subcarrier and one symbol.

[0197] A Bandwidth Part (BWP) (which may also be referred to as a fractional bandwidth) may represent a subset of contiguous common resource blocks (RBs) for a given numerology on a given carrier, where the common RBs may be identified by their index relative to a common reference point of the carrier. PRBs may be defined in a given BWP and numbered within that BWP.

[0198] The BWP may include a BWP for UL (UL BWP) and a BWP for DL ​​(DL BWP). One or more BWPs may be configured for a UE within one carrier.

[0199] At least one of the configured BWPs may be active, and the UE may not expect to transmit or receive a given signal / channel outside the active BWP. Note that the terms "cell," "carrier," etc. in this disclosure may be read as "BWP."

[0200] The above-described structures of the radio frame, subframe, slot, minislot, and symbol are merely examples. For example, the number of subframes included in a radio frame, the number of slots per subframe or radio frame, the number of minislots included in a slot, the number of symbols and RBs included in a slot or minislot, the number of subcarriers included in an RB, the number of symbols in a TTI, the symbol length, the cyclic prefix (CP) length, and other configurations can be changed in various ways.

[0201] The terms "connected," "coupled," or any variation thereof, refer to any direct or indirect connection or coupling between two or more elements, and may include the presence of one or more intermediate elements between two elements that are "connected" or "coupled" to each other. The coupling or connection between elements may be physical, logical, or a combination thereof. For example, "connected" may be read as "access." As used in this disclosure, two elements may be considered to be "connected" or "coupled" to each other using one or more wires, cables, and / or printed electrical connections, as well as electromagnetic energy having wavelengths in the radio frequency range, microwave range, and optical (both visible and invisible) range, as some non-limiting and non-exhaustive examples.

[0202] The reference signal may also be abbreviated as Reference Signal (RS), and may also be called a pilot depending on the applicable standard.

[0203] As used in this disclosure, the phrase "based on" does not mean "based only on," unless expressly stated otherwise. In other words, the phrase "based on" means both "based only on" and "based at least on."

[0204] The "means" in the configuration of each of the above devices may be replaced with "part," "circuit," "device," etc.

[0205] As used in this disclosure, any reference to an element using a designation such as "first," "second," etc. does not generally limit the quantity or order of those elements. These designations may be used in this disclosure as a convenient method of distinguishing between two or more elements. Thus, a reference to a first and a second element does not imply that only two elements may be employed therein or that the first element must precede the second element in some way.

[0206] When used in this disclosure, the terms "include," "including," and variations thereof are intended to be inclusive, similar to the term "comprising." Furthermore, when used in this disclosure, the term "or" is not intended to be an exclusive or.

[0207] In this disclosure, where articles are added by translation, such as a, an, and the in English, the disclosure may include that the nouns following these articles are in the plural form.

[0208] As used in this disclosure, the terms "determining" and "determining" may encompass a wide variety of actions. "Determining" and "determining" may include, for example, judging, calculating, computing, processing, deriving, investigating, looking up, searching, inquiring (e.g., searching in a table, database, or other data structure), ascertaining, and the like. "Determining" and "determining" may also include receiving (e.g., receiving information), transmitting (e.g., sending information), input, output, accessing (e.g., accessing data in memory), and the like. Furthermore, "judgment" and "decision" can include regarding resolving, selecting, choosing, establishing, comparing, etc. as having been "judged" or "decided." In other words, "judgment" and "decision" can include regarding some action as having been "judged" or "decided." Furthermore, "judgment (decision)" can be interpreted as "assuming," "expecting," "considering," etc.

[0209] In the present disclosure, the term "A and B are different" may mean "A and B are different from each other." The term may also mean "A and B are each different from C." Terms such as "separate" and "coupled" may also be interpreted in the same way as "different."

[0210] Fig. 16 shows an example of the configuration of a vehicle 2001. As shown in Fig. 16, the vehicle 2001 includes a drive unit 2002, a steering unit 2003, an accelerator pedal 2004, a brake pedal 2005, a shift lever 2006, left and right front wheels 2007, left and right rear wheels 2008, an axle 2009, an electronic control unit 2010, various sensors 2021 to 2029, an information service unit 2012, and a communication module 2013.

[0211] The drive unit 2002 is composed of, for example, an engine, a motor, or a hybrid of an engine and a motor. The steering unit 2003 includes at least a steering wheel (also called a handle), and is configured to steer at least one of the front wheels and the rear wheels based on the operation of the steering wheel operated by the user. The electronic control unit 2010 is composed of a microprocessor 2031, a memory (ROM, RAM) 2032, and a communication port (IO port) 2033. Signals are input to the electronic control unit 2010 from various sensors 2021 to 2027 provided in the vehicle. The electronic control unit 2010 may also be called an ECU (Electronic Control Unit).

[0212] The signals from the various sensors 2021 to 2028 include a current signal from a current sensor 2021 that senses the current of the motor, a rotation speed signal of the front and rear wheels obtained by a rotation speed sensor 2022, an air pressure signal of the front and rear wheels obtained by an air pressure sensor 2023, a vehicle speed signal obtained by a vehicle speed sensor 2024, an acceleration signal obtained by an acceleration sensor 2025, an accelerator pedal depression amount signal obtained by an accelerator pedal sensor 2029, a brake pedal depression amount signal obtained by a brake pedal sensor 2026, a shift lever operation signal obtained by a shift lever sensor 2027, and a detection signal for detecting obstacles, vehicles, pedestrians, etc. obtained by an object detection sensor 2028.

[0213] The information service unit 2012 is composed of various devices, such as a car navigation system, an audio system, speakers, a television, and a radio, for providing (outputting) various types of information, such as driving information, traffic information, and entertainment information, and one or more ECUs for controlling these devices. The information service unit 2012 provides various types of multimedia information and multimedia services to the occupants of the vehicle 1 by using information acquired from external devices via the communication module 2013, etc.

[0214] The information service unit 2012 may include input devices (e.g., keyboards, mice, microphones, switches, buttons, sensors, touch panels, etc.) that accept input from the outside, and may also include output devices (e.g., displays, speakers, LED lamps, touch panels, etc.) that output to the outside.

[0215] The driving assistance system unit 2030 is composed of various devices that provide functions for preventing accidents and reducing the driver's driving burden, such as millimeter-wave radar, LiDAR (Light Detection and Ranging), cameras, positioning locators (e.g., GNSS, etc.), map information (e.g., high-definition (HD) maps, autonomous vehicle (AV) maps, etc.), gyro systems (e.g., IMU (Inertial Measurement Unit), INS (Inertial Navigation System), etc.), AI (Artificial Intelligence) chips, and AI processors, as well as one or more ECUs that control these devices. The driving assistance system unit 2030 also transmits and receives various information via the communication module 2013 to realize driving assistance functions or autonomous driving functions.

[0216] The communication module 2013 can communicate with the microprocessor 2031 and components of the vehicle 1 via the communication port. For example, the communication module 2013 transmits and receives data via the communication port 2033 to and from a drive unit 2002, a steering unit 2003, an accelerator pedal 2004, a brake pedal 2005, a shift lever 2006, left and right front wheels 2007, left and right rear wheels 2008, an axle 2009, a microprocessor 2031 and memory (ROM, RAM) 2032 in the electronic control unit 2010, and sensors 2021 to 2028, which are provided in the vehicle 2001.

[0217] The communication module 2013 is a communication device that can be controlled by the microprocessor 2031 of the electronic control unit 2010 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 2013 may be located either inside or outside the electronic control unit 2010. The external device may be, for example, a base station, a mobile station, or the like.

[0218] The communication module 2013 may transmit at least one of signals from the above-mentioned various sensors 2021-2028 input to the electronic control unit 2010, information obtained based on the signals, and information based on input from the outside (user) obtained via the information service unit 2012 to an external device via wireless communication. The electronic control unit 2010, the various sensors 2021-2028, the information service unit 2012, etc. may be referred to as input units that accept input. For example, the PUSCH transmitted by the communication module 2013 may include information based on the above-mentioned input.

[0219] The communication module 2013 receives various information (traffic information, traffic signal information, vehicle-to-vehicle information, etc.) transmitted from external devices and displays it on an information service unit 2012 provided in the vehicle. The information service unit 2012 may 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 2013). The communication module 2013 also stores the various information received from external devices in a memory 2032 that can be used by the microprocessor 2031. Based on the information stored in the memory 2032, the microprocessor 2031 may control a drive unit 2002, a steering unit 2003, an accelerator pedal 2004, a brake pedal 2005, a shift lever 2006, left and right front wheels 2007, left and right rear wheels 2008, an axle 2009, sensors 2021 to 2028, and the like provided in the vehicle 2001.

[0220] (Addendum) The above disclosure may be expressed as follows: A first feature is a terminal including: a control unit that executes control using a learning model; and a transmission unit that transmits, to a network, a report of an applicable function related to the learning model and additional information related to the applicable function.

[0221] A second feature is that in the first feature, the transmitting unit transmits as the additional information at least one of the types of applicable functions and the types of inapplicable functions related to the learning model determined by the terminal based on the network settings.

[0222] A third feature is the first or second feature, wherein the transmission unit transmits, as the additional information, a reason why the function is determined to be inapplicable.

[0223] A fourth feature is that, in the first to third features, the transmission unit transmits as the additional information at least one of a network-side condition related to the learning model that is associated with the applicable function or the inapplicable function and identification information used under the condition.

[0224] A fifth feature is a terminal that includes a control unit that performs control using a learning model, and a transmission unit that transmits to the network a report of supported functions related to the learning model, as well as network-side conditions related to the learning model and at least one of identification information to be used under the conditions.

[0225] A sixth feature is that, in the fifth feature, the device further includes a receiving unit that receives an inquiry from the network including permission to report the supported functions, and the transmitting unit transmits at least one of the conditions and the identification information based on the permission. [Explanation of symbols]

[0226] 10. Wireless communication systems 20 NG-RAN 40 OAM / RIC 50 NF 100 gNB 110 Radio Communication Department 120 UE Capability Processing Unit 130 AI / ML Model Department 140 Control Unit 200 UE 210 Radio Communication Department 220 AI / ML Model Department 230 UE Capability Setting Unit 240 Control Unit 1001 processor 1002 memory 1003 Storage 1004 Communication equipment 1005 Input Device 1006 Output Device 1007 Bus 2001 Vehicle 2002 Drive unit 2003 Steering Section 2004 accelerator pedal 2005 brake pedal 2006 Shift Lever 2007 Left and right front wheels 2008 Left and right rear wheels 2009 Axle 2010 Electronic Control Unit 2012 Information Services Department 2013 Communication Module 2021 Current Sensor 2022 RPM Sensor 2023 Air Pressure Sensor 2024 Vehicle speed sensor 2025 Acceleration Sensor 2026 Brake pedal sensor 2027 Shift lever sensor 2028 Object Detection Sensor 2029 Accelerator pedal sensor 2030 Driving Assistance Systems Department 2031 microprocessor 2032 memory (ROM, RAM) 2033 communication port

Claims

1. a control unit that executes control using a learning model; a transmitter that transmits additional information about the applicable features to a network together with a report of the applicable features about the learning model; A terminal comprising:

2. The terminal according to claim 1 , wherein the transmission unit transmits, as the additional information, at least one of the types of applicable functions and the types of inapplicable functions related to the learning model determined by the terminal based on the network settings.

3. The terminal according to claim 2 , wherein the transmission unit transmits a reason why the function is determined to be inapplicable as the additional information.

4. The terminal according to claim 2, wherein the transmission unit transmits as the additional information at least one of network-side conditions related to the learning model that are associated with the applicable function or the inapplicable function and identification information used under the conditions.

5. a control unit that executes control using a learning model; a transmitting unit that transmits to the network at least one of a network-side condition related to the learning model and identification information used under the condition together with a report of supported functions related to the learning model; A terminal comprising:

6. a receiving unit configured to receive a query from the network, the query including permission to report the supported features; The terminal according to claim 5 , wherein the transmission unit transmits at least one of the condition and the identification information based on the permission.

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