Method and apparatus for predicting cell measurement result in wireless communication system

Abstract

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The present disclosure relates to operations of a terminal and a base station in a wireless communication system, and a method performed by a terminal in a wireless communication system comprises the steps of: receiving, from a base station, a radio resource control (RRC) message comprising configuration information for prediction of cells in a first group; performing measurement on cells in a second group for prediction, on the basis of the configuration information; generating a result of prediction of the cells in the first group on the basis of a result of the measurement; and transmitting a report of the result of the prediction to the base station.

Description

Method and device for predicting cell measurement results in a wireless communication system

[0001] The present disclosure relates to a method and apparatus for predicting and reporting cell measurement information between a base station and a terminal in a wireless communication system.

[0002] 5G mobile communication technology defines a wide frequency band to enable fast transmission speeds and new services, and can be implemented not only in the sub-6GHz frequency band such as 3.5 gigahertz (3.5GHz), but also in the ultra-high frequency band called millimeter wave (mmWave) such as 28GHz and 39GHz ('Above 6GHz'). In addition, for 6G mobile communication technology, which is called the system after 5G communication (Beyond 5G), implementation in the terahertz (THz) band (for example, 3 THz band at 95GHz) is being considered to achieve a transmission speed that is 50 times faster than 5G mobile communication technology and an ultra-low latency time that is reduced to one-tenth.

[0003] In the early stages of 5G mobile communication technology, the goal is to support services and satisfy performance requirements for enhanced Mobile Broadband (eMBB), Ultra-Reliable Low-Latency Communications (URLLC), and massive Machine-Type Communications (mMTC). These include beamforming and massive MIMO to mitigate path loss of radio waves in ultra-high frequency bands and increase the transmission distance of radio waves, support for various numerologies (such as operation of multiple subcarrier intervals) and dynamic operation of slot formats for efficient use of ultra-high frequency resources, initial access technology to support multi-beam transmission and wideband, definition and operation of BWP (Bidth Part), new channel coding methods such as LDPC (Low Density Parity Check) codes for large-capacity data transmission and Polar Code for reliable transmission of control information, and L2 pre-processing (L2). Standardization has been made for network slicing, which provides dedicated networks specialized for specific services, and pre-processing.

[0004] Currently, discussions are underway to improve and enhance the initial 5G mobile communication technology in consideration of the services that 5G mobile communication technology was intended to support, and physical layer standardization is in progress for technologies such as V2X (Vehicle-to-Everything) to help autonomous vehicles make driving decisions and increase user convenience based on their own location and status information transmitted by vehicles, NR-U (New Radio Unlicensed) for the purpose of system operation that complies with various regulatory requirements in unlicensed bands, NR terminal low power consumption technology (UE Power Saving), Non-Terrestrial Network (NTN), which is direct terminal-satellite communication to secure coverage in areas where communication with terrestrial networks is impossible, and Positioning.

[0005] In addition, standardization of wireless interface architecture / protocols is in progress for technologies such as intelligent factories (Industrial Internet of Things, IIoT) to support new services through linkage and convergence with other industries, Integrated Access and Backhaul (IAB) that provides nodes for expanding network service areas by integrating wireless backhaul links and access links, Mobility Enhancement technology including Conditional Handover and Dual Active Protocol Stack (DAPS) handover, and 2-step random access (2-step RACH for NR) that simplifies random access procedures. Standardization is also in progress for system architecture / services such as 5G baseline architecture (e.g., Service-based Architecture, Service-based Interface) for grafting Network Functions Virtualization (NFV) and Software-Defined Networking (SDN) technologies, and Mobile Edge Computing (MEC) that provides services based on the location of the terminal.

[0006] Once these 5G mobile communication systems are commercialized, an explosive increase in connected devices will be connected to the communication network, necessitating enhanced functionality and performance of 5G mobile communication systems and integrated operation of these connected devices. To this end, new research will be conducted on improving 5G performance and reducing complexity, supporting AI services, supporting metaverse services, and drone communications by utilizing eXtended Reality (XR), Artificial Intelligence (AI), and Machine Learning (ML) to efficiently support Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR).

[0007] In addition, the development of these 5G mobile communication systems includes new waveforms to ensure coverage in the terahertz band of 6G mobile communication technology, multi-antenna transmission technologies such as Full Dimensional MIMO (FD-MIMO), Array Antenna, and Large Scale Antenna, metamaterial-based lenses and antennas to improve the coverage of terahertz band signals, high-dimensional spatial multiplexing technology using Orbital Angular Momentum (OAM), Reconfigurable Intelligent Surface (RIS) technology, as well as full duplex technology to improve the frequency efficiency and system network of 6G mobile communication technology, satellite, AI (Artificial Intelligence) from the design stage and AI-based communication technology that realizes system optimization by internalizing end-to-end AI support functions, and ultra-high-performance communication and computing resources to provide services with complexity that exceeds the limits of terminal computing capabilities. It can serve as a basis for the development of next-generation distributed computing technologies that can be realized by utilizing them.

[0008] Based on the discussion described above, the present disclosure provides a device and method capable of effectively providing a service in a wireless communication system.

[0009] A method performed by a terminal of a wireless communication system according to embodiments of the present disclosure includes the steps of receiving an RRC (radio resource control) message including configuration information for prediction of a first group of cells from a base station, performing measurement on a second group of cells for prediction based on the configuration information, generating a prediction result for the first group of cells based on a result of the measurement, and transmitting a report of the prediction result to the base station.

[0010] The present disclosure provides a device and method capable of effectively providing a service in a wireless communication system.

[0011] FIG. 1 is a diagram illustrating the structure of an NR system according to one embodiment of the present disclosure.

[0012] FIG. 2 is a diagram illustrating a wireless protocol structure in an LTE and NR system according to one embodiment of the present disclosure.

[0013] FIG. 3 is a diagram illustrating a use case of utilizing an AI / ML model to predict cell measurement results in a wireless communication system according to one embodiment of the present disclosure.

[0014] FIG. 4 is a diagram illustrating a specific method for utilizing an AI / ML model to predict cell measurement results in a wireless communication system according to one embodiment of the present disclosure.

[0015] FIG. 5 is a flowchart of a process in which a base station instructs a terminal to predict cell measurement results and reports the results, according to one embodiment of the present disclosure.

[0016] FIG. 6 is a diagram illustrating a specific configuration method of setting information for a base station to instruct a terminal to predict cell measurement results according to one embodiment of the present disclosure.

[0017] FIG. 7 is a diagram illustrating a terminal device according to one embodiment of the present disclosure.

[0018] FIG. 8 is a diagram illustrating a base station device according to one embodiment of the present disclosure.

[0019] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the attached drawings. Furthermore, detailed descriptions of related known functions or configurations will be omitted if they are deemed to unnecessarily obscure the gist of the present disclosure. Furthermore, the terms described below are defined based on their functions in the present disclosure and may vary depending on the intent or custom of the user or operator. Therefore, their definitions should be based on the overall content of this specification.

[0020] The advantages and features of the present disclosure, and methods for achieving them, will become clearer with reference to the embodiments described in detail below together with the accompanying drawings. However, the present disclosure is not limited to the embodiments disclosed below and may be implemented in various different forms. These embodiments are provided solely to ensure that the disclosure of the present disclosure is complete and to fully inform those skilled in the art of the scope of the invention, and the present disclosure is defined only by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

[0021] At this time, it will be understood that each block of the processing flowchart drawings and combinations of the flowchart drawings can be performed by computer program instructions. These computer program instructions can be installed in a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing equipment, so that the instructions executed by the processor of the computer or other programmable data processing equipment create a means for performing the functions described in the flowchart block(s). These computer program instructions can also be stored in a computer-available or computer-readable memory that can direct a computer or other programmable data processing equipment to implement the functions in a specific manner, so that the instructions stored in the computer-available or computer-readable memory can also produce a manufactured item that includes an instruction means for performing the functions described in the flowchart block(s). Since the computer program instructions may be installed on a computer or other programmable data processing device, a series of operational steps may be performed on the computer or other programmable data processing device to create a computer-executable process, and the instructions that cause the computer or other programmable data processing device to perform the steps for performing the functions described in the flowchart block(s) may also provide steps for performing the functions described in the flowchart block(s).

[0022] Additionally, each block may represent a module, segment, or portion of code that contains one or more executable instructions for performing a specific logical function(s). It should also be noted that in some alternative implementation examples, the functions described in the blocks may occur out of order. For example, two blocks depicted in succession may actually be executed substantially concurrently, or the blocks may sometimes be executed in reverse order, depending on their respective functions.

[0023] Here, the term '~ part' used in this embodiment means software or hardware components such as FPGA (Field Programmable Gate Array) or ASIC (Application Specific Integrated Circuit), and the '~ part' performs certain roles. However, the '~ part' is not limited to software or hardware. The '~ part' may be configured to be on an addressable storage medium or may be configured to play one or more processors. Therefore, as an example, the '~ part' includes components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functions provided within the components and '~ parts' may be combined into a smaller number of components and '~ parts' or further separated into additional components and '~ parts'. Additionally, the components and '~parts' may be implemented to activate one or more CPUs within a device or secure multimedia card. In addition, in an embodiment, the '~parts' may include one or more processors.

[0024] In the following description of the present disclosure, detailed descriptions of related known functions or configurations will be omitted if they are deemed to unnecessarily obscure the gist of the present disclosure. Hereinafter, embodiments of the present disclosure will be described with reference to the attached drawings.

[0025] The terms used in the following description to identify connection nodes, terms referring to network entities, terms referring to messages, terms referring to interfaces between network entities, terms referring to various identification information, etc. are provided as examples for convenience of explanation. Therefore, the present disclosure is not limited to the terms described below, and other terms referring to objects with equivalent technical meanings may be used.

[0026] In the following description, the terms "physical channel" and "signal" may be used interchangeably with data or control signals. For example, while PDSCH (physical downlink shared channel) refers to a physical channel through which data is transmitted, PDSCH can also be used to refer to data. That is, in the present disclosure, the expression "transmitting a physical channel" can be interpreted equivalently to the expression "transmitting data or a signal through a physical channel."

[0027] Hereinafter, in the present disclosure, upper signaling refers to a signal transmission method in which a base station transmits a signal to a terminal using a downlink data channel of the physical layer, or a terminal transmits a signal to a base station using an uplink data channel of the physical layer. Upper signaling can be understood as radio resource control (RRC) signaling or a media access control (MAC) control element (CE).

[0028] For the convenience of explanation below, this disclosure uses terms and names defined in the 3rd Generation Partnership Project NR (New Radio) or 3rd Generation Partnership Project Long Term Evolution (LTE) standards. However, this disclosure is not limited by the above terms and names, and can be equally applied to systems conforming to other standards. In this disclosure, gNB may be used interchangeably with eNB for the convenience of explanation. That is, a base station described as an eNB may represent a gNB. In addition, the term terminal may represent not only a mobile phone, an MTC device, an NB-IoT device, a sensor, but also other wireless communication devices.

[0029] Hereinafter, the base station is an entity that performs resource allocation of a terminal, and may be at least one of a gNodeB (gNB), an eNode B (eNB), a NodeB, a BS (Base Station), a wireless access unit, a base station controller, or a node on a network. The terminal may include a UE (User Equipment), an MS (Mobile Station), a cellular phone, a smartphone, a computer, or a multimedia system capable of performing a communication function. Of course, the present invention is not limited to the above examples.

[0030] FIG. 1 is a diagram illustrating the structure of an NR system according to one embodiment of the present disclosure.

[0031] Referring to FIG. 1, a wireless communication system may be composed of multiple base stations (e.g., gNB (105), ng-eNB (110), ng-eNB (115), gNB (120)), an Access and Mobility Management Function (AMF) (125), and a User Plane Function (UPF) (130). A user equipment (hereinafter referred to as UE or terminal) (135) may access an external network through the base stations (e.g., gNB (105), ng-eNB (110), ng-eNB (115), gNB (120)) and the UPF (130).

[0032] In Fig. 1, base stations (e.g., gNB (105), ng-eNB (110), ng-eNB (115), gNB (120)) can serve as access nodes of a cellular network and provide wireless access to terminals accessing the network. That is, base stations (e.g., gNB (105), ng-eNB (110), ng-eNB (115), gNB (120)) can collect status information such as buffer status, available transmission power status, and channel status of terminals to schedule and support connections between terminals and a core network (CN; in particular, the CN of NR is referred to as 5GC) in order to service the traffic of users. Meanwhile, in communication, a user plane (UP) related to transmission of actual user data and a control plane (CP) such as connection management can be configured separately, and in this drawing, gNB (105) and gNB (120) use UP and CP technologies defined in NR technology, and ng-eNB (110) and ng-eNB (115) can use UP and CP technologies defined in LTE technology even though they are connected to 5GC.

[0033] AMF (125) is a device that handles various control functions as well as mobility management functions for terminals and is connected to multiple base stations, and UPF (130) may refer to a type of gateway device that provides data transmission. Although not illustrated in Fig. 1, the NR wireless communication system may also include a Session Management Function (SMF). The SMF can manage packet data network connections, such as PDU (protocol data unit) sessions provided to terminals.

[0034] FIG. 2 is a diagram illustrating a wireless protocol structure in an LTE and NR system according to one embodiment of the present disclosure.

[0035] Referring to FIG. 2, the wireless protocol of the LTE system may be composed of Packet Data Convergence Protocol (PDCP) (205)(240), Radio Link Control (RLC) (210)(235), and Medium Access Control (MAC) (215)(230) in the terminal and the eNB, respectively. Packet Data Convergence Protocol (PDCP) (205)(240) is responsible for operations such as IP header compression / reconstruction, and Radio Link Control (RLC, hereinafter referred to as RLC) (210)(235) reconfigures PDCP Protocol Data Unit (PDU) to an appropriate size. MAC (215)(230) is connected to multiple RLC layer devices configured in one terminal, and multiplexes RLC PDUs into MAC PDUs and demultiplexes RLC PDUs from MAC PDUs. The physical (PHY) layer (220)(225) performs an operation of channel coding and modulating upper layer data, converting it into OFDM symbols and transmitting it through a wireless channel, or demodulating and channel decoding OFDM symbols received through a wireless channel and transmitting them to the upper layer. In addition, the physical layer also uses HARQ (Hybrid ARQ) for additional error correction, and the receiver transmits 1 bit to indicate whether the packet transmitted by the transmitter was received. This is called HARQ ACK / NACK information. In the case of LTE, downlink HARQ ACK / NACK information for uplink data transmission is transmitted through the PHICH (Physical Hybrid-ARQ Indicator Channel) physical channel, and in the case of NR, it can be determined through the PDCCH (Physical Dedicated Control CHannel), which is a channel through which downlink / uplink resource allocation, etc. are transmitted, whether retransmission is necessary or new transmission can be performed through the scheduling information of the corresponding terminal. This is because NR applies asynchronous HARQ.Uplink HARQ ACK / NACK information for downlink data transmission can be transmitted via a physical channel, such as a PUCCH (Physical Uplink Control Channel) or a PUSCH (Physical Uplink Shared Channel). The PUCCH is typically transmitted on the uplink of the PCell, which will be described later. However, if the base station supports this, it may additionally transmit the PUCCH to the SCell, which will be described later, to the UE. This is referred to as a PUCCH SCell.

[0036] Although not shown in this drawing, an RRC (Radio Resource Control) layer exists above the PDCP layer of each terminal and base station, and the RRC layer can transmit and receive connection and measurement-related setting control messages for radio resource control.

[0037] Meanwhile, the PHY layer can be composed of one or more frequencies / carriers, and the technology that sets and uses multiple frequencies simultaneously is called carrier aggregation (CA). CA technology can dramatically increase the transmission capacity by using the primary carrier and one or more secondary carriers in addition to the primary carrier for communication between a terminal (or User Equipment, UE) and a base station (E-UTRAN NodeB, eNB), instead of using only one carrier. Meanwhile, in LTE, a cell within a base station that uses a primary carrier is called a primary cell or PCell (Primary Cell), and a cell within a base station that uses a secondary carrier is called a secondary cell or SCell (Secondary Cell).

[0038] FIG. 3 is a diagram illustrating a use case of utilizing an AI (Artificial intelligence) / ML (Machine learning) model to predict cell measurement results in a wireless communication system according to one embodiment of the present disclosure.

[0039] Referring to FIG. 3, an AI / ML model (or artificial intelligence model) can be utilized to predict cell measurement results in the time domain. For reference, the cell measurement results may refer to RSRP, RSRQ, and / or SINR values ​​measured by the terminal for each cell. In addition, the cell measurement results may include RSRP, RSRQ, and / or SINR values ​​measured by the terminal for each beam when there are multiple beams transmitted by the cell for each cell. The meaning (or definition) of the cell measurement results can be equally applied to the embodiments of FIGS. 4, 5, and 6.

[0040] When predicting cell measurement information in the time domain, when the cell measurement results (305) obtained in the past (e.g., Mt cell measurement results measured during times t_k-Mt to t_k) are input to the AI / ML model (300), the AI / ML model can be trained so that the model outputs a predicted cell measurement result (310) (e.g., Pt cell measurement results predicted during times t_k+1 to t_k+Pt). When the AI / ML model that predicts cell measurement results in the time domain is deployed and used at the base station, the base station can more quickly predict the optimal cell for a fast-moving terminal and handover the terminal to the optimal cell at an appropriate time. More specifically, the base station can periodically receive a Measurement report from the terminal to receive the cell measurement results and handover the terminal to the optimal cell based on the cell measurement results. However, depending on the cell measurement result reporting cycle (measurement report transmission cycle), the actual channel environment may change, resulting in a delay between the time the optimal cell changes and the time the base station actually receives the measurement report from the terminal and identifies it. In addition, if the terminal moves quickly, this delay in changing the cell measurement result may cause a handover failure of the terminal. Due to the delay between the time the base station receives the measurement report from the terminal and decides to handover the terminal, and the time it requests and receives approval from the neighboring base station corresponding to the handover target cell, the terminal may not be handed over in a timely manner, and the terminal may experience a Radio Link Failure (RLF) state.To improve these issues, base stations can use AI / ML models that predict cell measurement results in the time domain to predict optimal cell changes in advance and handover terminals at appropriate times, thereby changing the terminal's serving cell and preventing handover failures.

[0041] Regarding the case where an AI / ML model is used to predict cell measurement results in the time domain, an embodiment using an AI / ML model for predicting cell measurement results at a base station has been described, but the AI / ML model for predicting cell measurement results can also be used at a terminal. In this case, the terminal can utilize the time-domain cell measurement result prediction model to predict measurement results for the serving cell and neighboring cells in advance and report these to the base station in advance, thereby helping the base station to instruct the terminal to perform a handover at an appropriate time. To this end, the base station can instruct the terminal to predict and report cell measurement results for specific cells. Furthermore, the terminal can perform cell measurement and prediction according to the base station settings and report the results to the base station.

[0042] FIG. 5 and FIG. 6 of the present disclosure describe specific embodiments of a method and procedure for a base station to instruct a terminal to predict a cell measurement result and to receive a report of the result.

[0043] FIG. 4 is a diagram illustrating a specific method for utilizing an AI / ML model to predict cell measurement results in a wireless communication system according to one embodiment of the present disclosure.

[0044] Referring to Fig. 4, the following methods may be considered to utilize AI / ML models to predict cell measurement results.

[0045] Method 1 (410, 1-to-1 approach): Past cell measurement information results (415) for a specific Cell B can be utilized to predict future cell measurement results (418) for a specific Cell A. In other words, when past cell measurement results for a specific Cell B are given as input values ​​of an AI / ML model, the AI / ML model can be trained to output a future cell measurement result prediction value for Cell A. Cell B can be the same cell as Cell A or a different cell. In Method 1 (1-to-1 approach), past cell measurement results for a single cell can be utilized as input values ​​of an AI / ML model for predicting future cell measurement results for a single cell.

[0046] Method 2 (420, N-to-K approach): Past cell measurement results (425) for SET B Cells (or B group cells) consisting of N cells can be utilized to predict future cell measurement results (428) for SET A Cells (or A group cells) consisting of K cells. In other words, when past cell measurement information results for specific SET B cells are given as input values ​​of an AI / ML model, the AI / ML model can be trained to output future cell measurement result prediction values ​​for SET A cells. Each cell included in SET B may or may not be included in SET A. In Method 2 (cluster approach), past cell measurement results for multiple cells can be utilized as input values ​​of an AI / ML model to predict future cell measurement results for a specific cell set SET A.

[0047] Method 1 may correspond to a special case in which both N and K are 1 in Method 2. FIGS. 5 and 6 of the present disclosure illustrate a general scenario in which a terminal predicts cell measurement information using Method 2 (N-to-K approach), and illustrate embodiments of a method and procedure for a base station to instruct a terminal to predict cell measurement results and receive a report of the results.

[0048] FIG. 5 is a flowchart of a process in which a base station instructs a terminal to predict cell measurement results and reports the results, according to one embodiment of the present disclosure.

[0049] Referring to FIG. 5, a terminal (500) reports to a base station (505) whether it supports a cell measurement result prediction function, and if the terminal supports the function, the base station can instruct cell measurement result prediction. Thereafter, according to the base station's instructions, the terminal can predict future cell measurement results based on past cell measurement results and report the predicted results to the base station. The specific signaling operations between the terminal and the base station are as follows.

[0050] In step 510, the base station (505) and the terminal (500) can exchange terminal capability information related to cell measurement result prediction. The terminal can transmit to the base station a combination of at least one of the following indicators indicating terminal capability information related to cell measurement prediction (i.e., RRM measurement prediction) within an RRC message (e.g., a UECapabilityInformation message).

[0051] Indicator indicating whether RRM measurement prediction is supported: If the terminal supports the cell measurement result prediction operation, it may include the corresponding indicator in the RRC message (or set it to True / Supported) and transmit it to the base station. The cell measurement result prediction operation may mean an operation to predict RSRP, SINR, and / or RSRQ measurement results for each cell.

[0052] Indicator indicating whether beam-level prediction is supported: If the terminal supports beam-level prediction during the cell measurement result prediction operation, the terminal may include the corresponding indicator in the RRC message (or set it to True / Supported value) and transmit it to the base station. Beam-level prediction may mean an operation of predicting RSRP, SINR, and / or RSRQ measurement results for each beam (i.e., for each SSB index or CSI-RS ID) for a cell that transmits a radio signal (e.g., SSB or CSI-RS) using multiple beams.

[0053] Maximum number of prediction target cells: The terminal may transmit an indicator indicating the maximum number of prediction target (or target) cells that can be supported when performing cell measurement result prediction operations to the base station within an RRC message. For example, if the terminal can simultaneously predict cell measurement results for up to three cells, it may set the indicator value to 3 and report this to the base station.

[0054] Indicator indicating whether Method 2 (N-to-K approach) (420) of FIG. 4 is supported: The terminal may include (or set to a True value) an indicator indicating whether past cell measurement information for multiple cells is utilized for predicting cell measurement results (or whether an operation of utilizing past cell measurement information for multiple cells is supported) in an RRC message and transmit it to the base station. If the indicator is not included or set to a False value, the base station may determine that the terminal needs past measurement results for one cell for predicting future measurement results for a specific cell A. In another embodiment, indicators may be separately defined for reporting whether each method is supported for Method 1 (1-to-1 approach) (410) of FIG. 4 and Method 2 (N-to-K approach) (420) of FIG. 4, respectively. In this case, by reporting whether or not support for the two methods is individually reported, the base station may have more freedom in setting the cell measurement result prediction operation. In one embodiment, the directive may be defined in a form that indicates which of the two methods the terminal supports.

[0055] Minimum number of prediction input cells: If the terminal supports Method 2 (N-to-K approach) of the above-described FIG. 4, the terminal may transmit to the base station an indicator indicating the minimum number of measurement target (or input) cells required to predict cell measurement results using the RRC message. For example, if the terminal must perform cell measurements on at least three cells to predict measurement results for K target cells (in other words, if past cell measurement values ​​for at least three cells are required as input values ​​for the cell measurement result prediction AI / ML model), the terminal may set the indicator value to 3 and report it to the base station.

[0056] The terminal (500) can report terminal capability information to the base station (505) in units of terminal (UE), frequency range, frequency band, or feature set combination.

[0057] At step 515, the base station (505) may request the terminal (500) through a predetermined RRC message (e.g., RRCReconfiguration) information about an input cell set B that requires measurement in order to predict a measurement result for a specific output cell set A. For reference, the input cell set B that requires measurement in order to predict the measurement result for the output cell set A may be determined by an AI / ML model that the terminal may use to predict the cell measurement result. More specifically, the terminal may be provided with (or downloaded from) an OTT server operated by the terminal manufacturer or the terminal chipset manufacturer, the AI / ML model to be used for predicting the cell measurement result. At this time, the AI / ML model may be trained on the OTT server operated by the terminal manufacturer or the terminal chipset manufacturer, and the output cell set A and the input cell set B may be determined in the training step of the corresponding model. Therefore, when a specific AI / ML model for predicting cell measurement results is provided (downloaded) from the server, the terminal can identify the input cell set B required to perform cell measurement result prediction for output cell set A using the corresponding AI / ML model (or through the inference procedure of the corresponding AI / ML model). On the other hand, since the base station does not know which model is currently available for the terminal to predict cell measurement results, it cannot identify which input cell set B requires measurement for predicting cell measurement results for a specific output cell set A. When the actual base station instructs the terminal to predict measurement results for a specific output cell set A, the terminal must perform measurement for the input cell set B. Therefore, the base station must provide the terminal with information (e.g., measurement target frequency, measurement time point, etc.) necessary for the terminal to measure cells belonging to the input cell set B while instructing the terminal to predict the measurement results for the output cell set A.However, since the base station does not know which cell set B the terminal needs to measure in order to predict the measurement result for the output cell set A (in other words, since it does not know which model the terminal specifically uses to predict the measurement result for the cell set A), the base station may request the terminal for information on the input cell set B that needs to be measured in order to predict the measurement result for the output cell set A. To this end, the base station may include in the RRC message a list for indicating the output cell set A (the target cell set A for which the cell measurement result is expected) and an indicator for requesting information on the input cell set B that is necessary to perform the measurement result prediction for the corresponding output cell set A. At this time, the list may include one or more pieces of information (e.g., PCI) for indicating each cell in order to indicate a plurality of cells belonging to the output cell set A. Thereafter, the terminal may provide the base station with information about the input cell set B (or a request for measurement information required to measure cells belonging to the input cell set B) through a predetermined RRC message (e.g., a UEAssistanceInformation message) at step 520 according to a base station request.

[0058] In another embodiment, in step 515, the base station can instruct (or set) the terminal (500) to predict the measurement result for a specific output cell set A through a predetermined RRC message (e.g., RRCReconfiguration). At this time, the base station can determine that the terminal supports Method 2 (N-to-K approach) of FIG. 4 based on the terminal capability information reported by the terminal in step 510, and can arbitrarily determine the input cell set B that requires measurement in order for the terminal to predict the measurement result for the specific output cell set A, and can also provide the terminal with the measurement information necessary to measure the cells belonging to the corresponding cell set B in advance. At this time, a specific method for the base station to instruct the terminal to predict the measurement result for the specific output cell set A and to provide the measurement information for the input cell set B necessary for this is as described in step 525 below. Thereafter, the terminal can determine whether it can actually perform the measurement result prediction for the output cell set A. More specifically, the terminal can determine that it can perform the measurement result prediction for the cell set A if at least one or more combinations of the following conditions are satisfied.

[0059] Condition 1 (availability of AI / ML model): The terminal has an AI / ML model that is available for predicting cell measurement results (of cells included in the target cell set A for cell measurement result prediction).

[0060] Condition 2 (NW-side additional condition): In order to predict cell measurement results (of cells included in the target cell set A for cell measurement result prediction), the terminal must be able to measure cells belonging to the input cell set B that require actual measurement. In other words, the terminal must be able to receive from the base station the measurement information (e.g., measurement target frequency, measurement time, etc.) necessary to measure cells belonging to the cell set B and measure them.

[0061] Condition 3 (UE-side additional condition): The UE must have sufficient memory capacity and computational power to predict cell measurement results using the currently available AI / ML model. Additionally, the UE must satisfy the necessary conditions for predicting measurement results for cells within the target cell set A using the AI / ML model.

[0062] If the terminal determines that it can perform the measurement result prediction for cell set A under the above conditions, the terminal can directly perform (or activate) the measurement result prediction for cell set A without a separate additional procedure. In this case, steps 520 and 525 may be omitted. Alternatively, if the terminal determines that it can perform the measurement result prediction for cell set A based on the conditions, the terminal may set an indicator indicating the applicability of cell measurement result prediction for the target cell set A to 'True' (or 'Applicable', etc.) in step 520 and report this to the base station. In this case, the base station may additionally instruct the terminal to perform (or activate) the cell measurement result prediction for the target cell set A in step 525.

[0063] Conversely, if the terminal determines that it cannot perform the measurement result prediction for cell set A based on the condition, the terminal can set the indicator indicating the applicability of cell measurement result prediction for the prediction target cell set A to 'False' (or 'Not Applicable', etc.) in step 520 and report it to the base station. In this case, if the terminal cannot perform the cell measurement result prediction because condition 2 is not satisfied, the terminal can additionally request measurement information necessary for measuring cells belonging to the input cell set B through the step 520 message. The specific method for requesting measurement information is as described in step 520.

[0064] In step 520, the terminal (500) can report information on an input cell set B that requires measurement to predict a measurement result for an output cell set A to the base station (505) through a predetermined RRC message (e.g., UEAssistanceInformation). At this time, the output cell set A may refer to a set of target cells for cell measurement result prediction indicated by the base station in step 515. The terminal can determine whether there is an AI / ML model that can be used to predict the cell measurement result for the output cell set A, and can receive (or download) a new model that can be used from the server as needed. The terminal can identify an input cell set B that requires measurement to predict the cell measurement result for the output cell set A using the AI / ML model. Thereafter, the terminal can report information related to the input cell set B to the base station at the request of the base station in step 515. More specifically, the terminal may report to the base station each or a combination of the following information in an RRC message to help the base station provide (or request) measurement information (e.g., information included in the existing MeasObjectNR IE, such as the measurement target frequency and measurement time) necessary for measuring cells belonging to the input cell set B.

[0065] List of potential input cell SET B for the prediction of SET A: The UE may include a list for indicating cells included in the input cell set B that require measurement in order to predict measurement results for output cell set A (cell set for cell measurement result prediction) in the RRC message. The list may be composed of a list of information (e.g., PCI) for indicating each cell included in the cell set B. In addition, the list may be reported separately for each cell included in the cell set A. In this case, a list may be included for indicating cells included in the input cell set B that require measurement in order to predict measurement information for each cell included in the cell set A.

[0066] List of potential measurement frequencies (e.g., SSB frequency for the potential input Cell SET B): The UE may include a list in the RRC message for indicating frequencies on which measurement is required to predict measurement results for output cell set A (a target cell set for cell measurement result prediction) (i.e., frequencies of cells included in input cell set B). The list may be composed of a list of information (e.g., ARFCN) for indicating the corresponding frequencies for which measurement is required to predict measurement results for output cell set A. The list may also be reported separately for each cell included in cell set A. In this case, a list may be included for indicating frequencies on which measurement is required to predict measurement information for each cell included in cell set A.

[0067] Number of potential input cells / measurement frequencies: The terminal may include in the RRC message the number of cells included in the input cell set B that require measurement or the number of frequencies that require measurement in order to predict the measurement results for the output cell set A (the target cell set for cell measurement result prediction).

[0068] 1 bit indication to request Measurement object for all potential input cells for the prediction: Instead of specifically indicating the set of input cells B or frequencies for which measurements are required, the terminal may include a 1-bit indication in the RRC message to request the base station to provide measurement information necessary to measure all measurable cells within the current serving cell of the terminal (i.e., a measurement object containing information necessary to perform measurements for each frequency).

[0069] The base station may receive information from the terminal and, in step 525, set (or activate) a cell measurement result prediction operation for the output cell set A to the terminal while providing measurement information (e.g., information included in the existing MeasObjectNR IE, such as the measurement target frequency and measurement time) required to measure cells belonging to the input cell set B.

[0070] In step 525, the base station (505) can set (or activate) cell measurement result prediction for output cell set A to the terminal (500). In addition, the base station can provide measurement information (e.g., information included in the existing MeasObjectNR IE such as measurement target frequency, measurement time, etc.) necessary for the terminal to measure cells belonging to the input cell set B that must be measured for cell measurement result prediction for the output cell set A. For reference, cells belonging to the cell set B may operate on different frequencies. Therefore, the terminal may need to perform measurements for one or more frequencies for cell measurement result prediction for the output cell set A. To this end, the measurement result prediction setting for the output cell set A can be linked to multiple measurement information for multiple frequencies. A specific method in which the base station provides the terminal with the setting for cell measurement result prediction and the measurement information necessary therefor is as described in FIG. 6 below.

[0071] In step 525, the terminal can determine whether it is possible to perform a cell measurement result prediction operation for the output cell set A based on the cell measurement result prediction setting and measurement information provided by the base station. A specific method for determining that the terminal can perform the measurement result prediction for the cell set A is as described in step 515. If the terminal determines that it can perform the measurement result prediction for the cell set A, the terminal can perform (activate) the measurement result prediction for the cell set A according to the instruction of the base station. However, if the terminal determines that it cannot perform the measurement result prediction for the cell set A, the terminal can transmit a predetermined RRC message to the base station as in step 520, and set an indicator indicating whether or not cell measurement result prediction for the prediction target cell set A is possible (applicability) to 'False' (or 'Not Applicable', etc.) and report it to the base station. At this time, if the terminal cannot perform cell measurement result prediction because condition 2 described in step 515 is not satisfied, the terminal may additionally request measurement information necessary to measure cells belonging to the input cell set B through a step 520 message.

[0072] Measurement reporting (or prediction reporting) may be triggered in step 530. More specifically, the terminal may continuously check whether the measurement reporting (or prediction reporting) triggering condition is satisfied based on the cell measurement result prediction setting received from the base station in step 515 or 525. More specifically, the triggering condition may be periodic reporting or existing Ax or Bx measurement reporting conditions. If the triggering condition is satisfied, the terminal may transmit a measurement report (or prediction report) to the base station as in step 535 below.

[0073] In step 535, the terminal (500) may transmit a predetermined RRC message (measurement report or prediction report) to the base station (505). At this time, the report may include cell measurement result prediction values ​​for each cell in the cell set A, which is the cell measurement result prediction target received from the base station in step 515 or 525. More specifically, for each cell measurement result prediction target cell, RSRP, RSRQ, and / or SINR values ​​predicted at multiple points in time on the time axis may be included.

[0074] FIG. 6 is a diagram illustrating a specific configuration method of setting information for a base station to instruct a terminal to predict cell measurement results according to one embodiment of the present disclosure.

[0075] Referring to FIG. 6, in steps 515 and 525 of FIG. 5, the base station can provide the terminal with 'cell measurement result prediction and reporting configuration information' and 'measurement information' required to perform actual cell measurement for measurement result prediction through a predetermined RRC message (e.g., RRCReconfiguration message).

[0076] 'Cell measurement result prediction and reporting setting information' may include a combination of at least one of the following information.

[0077] Cell measurement result prediction target output cell set A: The configuration information may include a list for indicating a cell measurement result prediction target output cell set A. At this time, the list may include one or more pieces of information (e.g., PCI) for indicating each cell in order to indicate a plurality of cells belonging to the output cell set A.

[0078] Cell Measurement Result Prediction Indicator: The configuration information may include an indicator for instructing cell measurement result prediction for a set of output cells A for cell measurement result prediction. The indicator may be defined as 1 bit, and the base station may instruct the terminal to perform cell measurement result prediction for cell set A by including the indicator in an RRC message (or setting it to True / enabled).

[0079] Prediction window configuration information: The configuration information may include information for indicating a time range on the time axis within which the terminal should perform cell measurement result prediction. More specifically, the base station may be configured to predict and report cell measurement results for a prediction window length (T) from the time point (t1) at which the terminal uploads a measurement report or prediction report (i.e., cell measurement results for the period from t1 to t1+T). To this end, the base station may include a prediction window length (T) value in the configuration information.

[0080] Cell Measurement Result Expected Target Frequency / Measurement Object: The configuration information may include a field for indicating the expected target frequency of the cell measurement result. Through this, the base station can configure the terminal to expect measurement values ​​for cells measured / operated at the frequency indicated by the field. In addition, the configuration information may include a field for indicating a Measurement Object (MeasObjectNR) corresponding to the expected target frequency of the cell measurement result. In this case, the base station can configure the terminal to expect measurement values ​​for cells where SSB and CSI-RS are transmitted / measured in the time / frequency resources included in the MO indicated by the field.

[0081] Cell Measurement Frequency / Measurement Object: The configuration information may include a field for indicating the frequency at which measurements should be performed to predict cell measurement results. Through this, the base station can configure the terminal to perform measurements on cells measured / operated at the frequency indicated by the field and predict the measurement results for the predicted target cell / frequency based on the measured values. In addition, the configuration information may include a field for indicating a Measurement Object (MeasObjectNR) corresponding to the frequency at which measurements should be performed to predict cell measurement results. In this case, the base station can configure the terminal to perform SSB and CSI-RS measurements on the time / frequency resources included in the MO indicated by the field and predict the measurement results for the predicted target cell / frequency based on the measured values. The field indicating the cell measurement frequency or Measurement Object can be used to set the measurement target frequency separately from the predicted target frequency when the frequencies at which the predicted target cells operate are different from the frequencies at which the measured target cells operate (e.g., inter-frequency prediction).

[0082] Additionally, the base station may provide the terminal with one or more 'measurement information'(s) required to measure radio signals (e.g., SSB or CSI-RS) transmitted by cells belonging to the input cell set B that require measurement in order to predict measurement results for cell set A. The 'measurement information' is set in units of frequency channels to be measured and may include a combination of at least one of the following pieces of information.

[0083] SSB frequency: 'Measurement information' may include frequency channel information through which the measured cells transmit SSB. More specifically, the frequency channel information may be set in the form of an Absolute Radio Frequency Channel Number (ARFCN).

[0084] SMTC (SSB Measurement Timing Configuration): 'Measurement information' may include timing information for the SSB transmission of the cells being measured. More specifically, the timing information may consist of values ​​indicating the period, start offset, and length of the time window in which the SSB should be measured.

[0085] CSI-RS frequency: 'Measurement information' may include frequency channel and bandwidth information on which the measured target cells transmit CSI-RS. More specifically, the frequency channel and bandwidth information may consist of a reference frequency set in the form of an Absolute Radio Frequency Channel Number (ARFCN), the starting PRB position, the number of PRBs, and the bandwidth size set.

[0086] CSI-RS timing: 'Measurement information' may include timing information for CSI-RS transmission by measurement target cells. More specifically, the timing information may consist of the CSI-RS transmission cycle, start slot / symbol offset, etc.

[0087] More specifically, the base station may provide the terminal with 'cell measurement result prediction and reporting configuration information' for the output cell set A, together with one or more 'measurement information'(s) required to measure cells belonging to the input cell set B. The cells belonging to the cell set B may operate on different frequencies. Therefore, the terminal may need to perform measurements on one or more frequencies in order to predict the cell measurement result for the output cell set A. To this end, the 'cell measurement result prediction and reporting configuration information' for the output cell set A may be linked to multiple 'measurement information' for multiple frequency channels. The base station may configure a predetermined RRC message (e.g., an RRCReconfiguration message) to include the 'cell measurement result prediction and reporting configuration information' and the 'measurement information' required to perform actual cell measurement for the measurement result prediction in one of the following options.

[0088] Option 1 (600): MeasConfig IE, MeasObjectNR IE, MeasId IE, or ReportConfigNR IE defined in the existing RRC specification can be reused to provide 'cell measurement result prediction and reporting configuration information' and 'measurement information' to the terminal. The base station can configure multiple MeasObjectNRs, ReportConfigNRs, and MeasIds to the terminal through MeasConfig IE included in the RRCReconfiguration message to configure existing cell measurement and result reporting to the terminal. At this time, each MeasId is connected to one MeasObjectNR and ReportConfigNR, and the terminal can perform measurement for a specific frequency channel based on the information in the MeasObjectNR connected to each MeasId and trigger measurement reporting based on the configuration information in the ReportConfigNR connected to the MeasId. At this time, the terminal can include the required measurement result value in a measurement report and transmit it to the base station based on the configuration information in the ReportConfigNR connected to the MeasId. For example, the base station can be configured to link a specific MeasId 1 (603) to MeasObjectNR1 (601) and ReportConfigNR1 (605) via MeasConfig IE in the RRCReconfiguration message. In this case, the terminal can measure signals of cells operating on the f1 channel based on the measurement information for the frequency channel f1 included in MeasObjectNR1 (601).In addition, if measurement reporting is performed (or triggered) when a specific event (for example, when the signal strength of a neighboring cell increases by a certain level or more) occurs through ReportConfigNR1(605), the terminal can check whether the event occurrence (entering) condition is satisfied for the cells detected as a result of cell measurement on the f1 channel. In addition, if the 'useAllowedCellList' directive is set (or included) together in the event configuration included in ReportConfigNR1(601), the terminal can check whether the event occurrence condition is satisfied only for the cells set through allowedCellsToAddModList in MeasObjectNR1(601) among the cells detected on the f1 channel. If the event occurrence condition is satisfied, the terminal can transmit a measurement report including the cell measurement result on the f1 channel to the base station. As described above, the terminal performs measurements and reports the results based on the connected MeasObjectNR and ReportConfigNR for each configured MeasId. Therefore, MeasObjectNR and ReportConfigNR that are not connected to any MeasId are information that the terminal does not actually use to perform cell measurement operations. More specifically, the terminal does not perform SSB and CSI-RS measurements for the frequency channels indicated by the MeasObjectNR that is not connected to any MeasId.

[0089] The above-described cell measurement and result reporting configuration structure can be reused to provide the terminal with 'cell measurement result prediction and report configuration information' for the output cell set A and 'measurement information' required to measure cells belonging to the input cell set B. More specifically, the base station can set a specific MeasId to configure cell measurement result prediction for the output cell set A, which is a cell measurement result prediction target, and set the MeasId to link (or indicate) one MeasObjectNR and one ReportConfigNR. At this time, information corresponding to the 'cell measurement result prediction and report configuration information' can be included in the ReportConfigNR IE. To this end, a new field (or variable) can be defined in the ReportConfigNR IE to include information such as the output cell set A, which is a cell measurement result prediction target, a cell measurement result prediction indicator, and prediction interval (window) configuration information. However, in addition, in the case of the output cell set A that is the target of cell measurement result prediction, instead of defining a new field in the ReportConfigNR IE and providing the information to the terminal, the cells included in the allowedCellsToAddModList set in the MeasObjectNR linked to the MeasId may be reused to indicate the output cell set A that is the target of cell measurement result prediction. If the ReportConfigNR linked to the MeasId contains setting information corresponding to 'cell measurement result prediction and report setting information', the terminal can understand this as the cell measurement result prediction setting. If the information on the output cell set A that is the target of result prediction is not included in the linked ReportConfigNR, the terminal can understand (or regard) the cells included in the allowedCellsToAddModList set in the MeasObjectNR linked to the MeasId as the cells included in the output cell set A that is the target of cell measurement result prediction.

[0090] In addition, the base station can reuse the MeasObjectNR configuration to provide 'measurement information'. For reference, since the information required to measure SSB and CSI-RS signals transmitted by cells on a specific frequency channel (e.g., f1) is already defined in the existing MeasObjectNR IE, 'measurement information' for one frequency channel can be included in MeasObjectNR without defining a separate new field. If the configuration information corresponding to 'cell measurement result prediction and report configuration information' is included in ReportConfigNR linked to MeasId, the terminal can understand this as cell measurement result prediction configuration. At this time, the terminal can perform cell measurement for the input cell set B required for cell measurement result prediction based on the 'measurement information' included in MeasObjectNR linked to the corresponding MeasId. If the cells included in the input cell set B are operated on multiple frequency channels rather than one, the 'cell measurement result prediction and report configuration information' for the output cell set A may need to be linked to multiple 'measurement information' for multiple frequency channels. However, according to the current RRC standard, only 'measurement information' for one frequency channel can be included in one MeasObjectNR, and one MeasId can only connect one MeasObjectNR and one ReportConfigNR. Therefore, when reusing the existing cell measurement and report configuration structure as in Option 1, there may be a limitation that it is impossible to connect one 'cell measurement result prediction and report configuration information' to multiple 'measurement information' for multiple frequency channels. In other words, Option 1 can support a case where there is only one input cell that requires actual measurement for cell measurement result prediction as in Method 1 (410, 1-to-1 approach) of FIG. 4, but there may be a limitation in supporting Method 2 (420, N-to-K approach) of FIG. 4.

[0091] To address these issues, a field may be added to ReportConfigNR to indicate an ID value (e.g., MeasObjectId) indicating a specific MO (MeasObjectNR) containing content corresponding to 'measurement information'. If the ReportConfigNR IE associated with a specific MeasId includes information corresponding to 'cell measurement result prediction and reporting configuration information', the terminal may utilize not only the 'measurement information' within the MeasObjectNR directly associated with the MeasId but also the 'measurement information' within the MeasObjectNR indicated by the ID included within the ReportConfigNR IE to perform measurements on one or more frequencies, and based on this, may predict measurement result values ​​for predicted target cells operating at the predicted target frequency.

[0092] Option 2 (610): In order to complement the limitations of the above Option 1, a new Id (e.g., PredictId) that can link one ReportConfigNR (615) and multiple MeasObjectNRs (611, 612) may be introduced. In this case, the base station can set up cell measurement result prediction and reporting to the terminal by including information corresponding to 'cell measurement result prediction and reporting configuration information' in the ReportConfigNR IE and information corresponding to 'measurement information' in the MeasObjectNR IE, as in Option 1. However, in order to complement the limitation that the existing MeasId can only link one ReportConfigNR to one MeasObjectNR, Option 2 may be different from Option 1 in that it uses a new Id (e.g., PredictId) that can link one ReportConfigNR (615) and multiple MeasObjectNRs (611, 612). Therefore, when using Option 2, it may be possible to configure a single 'cell measurement result prediction and reporting configuration information' to be linked to multiple 'measurement information' for multiple frequency channels. In other words, Option 2 may support not only a case where there is only one input cell that requires actual measurement for cell measurement result prediction, as in Method 1 (410, 1-to-1 approach) of FIG. 4, but also a case where multiple input cells need to be measured on multiple frequency channels, as in Method 2 (420, N-to-K approach) of FIG. 4. In another embodiment, a new IE (hereinafter referred to as PredictConfig IE) may be defined to include the 'cell measurement result prediction and reporting configuration information'.In this case, the PredictConfig IE can directly point to multiple linked MeasObjectNRs without using separate MeasIds (or PredictIds) to link MeasObjectNRs and ReportConfigNRs. However, if one 'cell measurement result prediction and report configuration information' can be reused for multiple different cell measurement result prediction configurations, it may be advantageous in terms of reducing signaling load to define only MeasId (or PredictId) for each cell measurement prediction configuration and use the corresponding Id to link MeasObjectNRs and ReportConfigNRs.

[0093] Additionally, when multiple MeasObjectNRs are associated with a single cell measurement prediction configuration (i.e., PredictId or PredictConfig IE) as in Option 2, it may be necessary to distinguish the Measurement Object (MO) corresponding to the prediction target cells from the MO corresponding to the measurement target cells among the multiple MeasObjectNRs. For example, in an inter-frequency prediction scenario that predicts the measurement results of cells operating in a different frequency based on the cell measurement results measured at the serving cell frequency, the measurement target frequency and the prediction target frequency may be different. Therefore, a field for indicating the MO corresponding to the prediction target cells and a field for indicating the MO corresponding to the measurement target cells may be separately defined and included in the Predict ID or PredictConfig IE. In this case, the terminal may perform measurement based on the 'measurement information' in the MO corresponding to the measurement target cells and perform measurement result prediction for the prediction target cells based on the corresponding measurement values.

[0094] Option 3 (620): To complement the limitations of Option 1, one MeasObject (621) may include multiple 'measurement information' (627, 628) for multiple frequency channels (e.g., f1 and f2). In this case, even if there is a limitation in Option 1 that MeasId (623) can only link one ReportConfigNR (625) to one MeasObjectNR (621), it may be possible to link one 'Cell Measurement Result Prediction and Reporting Configuration Information' to multiple 'measurement information' for multiple frequency channels. In this case, new fields (e.g., ssbFrequencyPredict, smtcPredict, etc.) may be defined in the existing MeasObjectNR IE to include multiple 'measurement information' (627, 628) in one MeasObject (627). Alternatively, a new IE (e.g., PredictObjectNR) containing multiple 'measurement information' may be defined.

[0095] Additionally, another way to solve the limitation in Option 1 is to allow the terminal to arbitrarily use the 'measurement information' contained in MeasObjectNRs that are not connected to the MeasId when performing the cell measurement result prediction operation according to the 'cell measurement result prediction and reporting configuration information' in ReportConfigNR connected to the MeasId. Currently, the terminal can perform the cell measurement operation only for the MeasObjectNR connected to the MeasId according to the specification, but when the cell measurement result prediction is set, the terminal can perform the cell measurement operation for MeasObjectNRs that do not have an explicit connection as needed.

[0096] In all of the above options 1, 2, and 3, the base station can perform one or more cell measurement result prediction configurations by setting multiple MeasObjectNRs (or PredictObjects), multiple MeasIds (or PredictIds), and multiple ReportConfigs (or PredictConfigs).

[0097] FIG. 7 is a diagram illustrating a terminal device according to one embodiment of the present disclosure.

[0098] Referring to FIG. 7, the terminal may include an RF (Radio Frequency) processing unit (710), a baseband processing unit (720), a storage unit (730), and a control unit (740). The configuration of the terminal is not limited to the exemplary configuration illustrated in FIG. 2, and may include fewer or more configurations than the configuration illustrated in FIG. 2.

[0099] The RF processing unit (710) may perform functions for transmitting and receiving signals through a wireless channel, such as signal band conversion and amplification. For example, the RF processing unit (710) may up-convert a baseband signal provided from the baseband processing unit (720) into an RF band signal and transmit it through an antenna, and may down-convert an RF band signal received through the antenna into a baseband signal. For example, the RF processing unit (710) may include a transmission filter, a reception filter, an amplifier, a mixer, an oscillator, a digital to analog convertor (DAC), an analog to digital convertor (ADC), etc., but is not limited to these examples. In FIG. 2, only one antenna is illustrated, but the terminal may be equipped with multiple antennas. In addition, the RF processing unit (710) may include multiple RF chains. Furthermore, the RF processing unit (710) may perform beamforming. For beamforming, the RF processing unit (710) can adjust the phase and magnitude of each signal transmitted and received through multiple antennas or antenna elements. In addition, the RF processing unit (710) can perform MIMO and receive multiple layers when performing MIMO operations.

[0100] The baseband processing unit (720) can perform a conversion function between a baseband signal and a bit stream according to the physical layer specifications of the system. For example, when transmitting data, the baseband processing unit (720) can generate complex symbols by encoding and modulating a transmission bit stream. In addition, when receiving data, the baseband processing unit (720) can restore a reception bit stream by demodulating and decoding a baseband signal provided from the RF processing unit (710). For example, in the case of following the OFDM (orthogonal frequency division multiplexing) method, when transmitting data, the baseband processing unit (720) can generate complex symbols by encoding and modulating a transmission bit stream, map the generated complex symbols to subcarriers, and then configure OFDM symbols through an inverse fast Fourier transform (IFFT) operation and a cyclic prefix (CP) insertion. In addition, when receiving data, the baseband processing unit (720) divides the baseband signal provided from the RF processing unit (710) into OFDM symbol units, restores signals mapped to subcarriers through an FFT (fast Fourier transform) operation, and then restores the received bit string through demodulation and decoding.

[0101] The baseband processing unit (720) and the RF processing unit (710) can transmit and receive signals as described above. Accordingly, the baseband processing unit (720) and the RF processing unit (710) may be referred to as a transmitter, a receiver, a transceiver, or a communication unit. Furthermore, at least one of the baseband processing unit (720) and the RF processing unit (710) may include a plurality of communication modules to support a plurality of different wireless access technologies. In addition, at least one of the baseband processing unit (720) and the RF processing unit (710) may include different communication modules to process signals of different frequency bands. For example, the different wireless access technologies may include wireless LAN (e.g., IEEE 802.11), a cellular network (e.g., LTE), etc. Additionally, different frequency bands may include super high frequency (SHF) (e.g., 2.NRHz, NRhz) bands and millimeter wave (mm wave) (e.g., 60GHz) bands. The terminal may transmit and receive signals with the gNB using the baseband processing unit (720) and the RF processing unit (710), and the signals may include control information and data.

[0102] The storage unit (730) can store data such as basic programs, application programs, and setting information for the operation of the terminal. For example, the storage unit (730) can store data information such as basic programs, application programs, and setting information for the operation of the terminal. In addition, the storage unit (730) can provide the stored data at the request of the control unit (740).

[0103] The storage unit (730) may be configured as a storage medium or a combination of storage media, such as a ROM, a RAM, a hard disk, a CD-ROM, and a DVD. In addition, the storage unit (730) may be configured as a plurality of memories. According to one embodiment of the present disclosure, the storage unit (730) may store a program for performing a handover method according to the present disclosure.

[0104] The control unit (740) can control the overall operations of the terminal. For example, the control unit (740) can transmit and receive signals through the baseband processing unit (720) and the RF processing unit (710).

[0105] In addition, the control unit (740) can record and read data in the storage unit (730). For this purpose, the control unit (740) may include at least one processor. For example, the control unit (740) may include a communication processor (CP) that performs control for communication and an application processor (AP) that controls upper layers such as application programs. In addition, according to one embodiment of the present disclosure, the control unit (740) may include a multi-connection processing unit (742) configured to process a process that operates in a multi-connection mode. In addition, at least one component within the terminal may be implemented as a single chip.

[0106] FIG. 8 is a diagram illustrating a base station device according to one embodiment of the present disclosure.

[0107] The base station of Fig. 8 may be included in the aforementioned network.

[0108] As illustrated in FIG. 8, the base station may include an RF processing unit (810), a baseband processing unit (820), a backhaul communication unit (830), a storage unit (840), and a control unit (850). The configuration of the base station is not limited to the exemplary configuration illustrated in FIG. 3, and the base station may include fewer or more configurations than the configuration illustrated in FIG. 3. The RF processing unit (810) may perform functions for transmitting and receiving signals through a wireless channel, such as signal band conversion and amplification. For example, the RF processing unit (810) may up-convert a baseband signal provided from the baseband processing unit (820) into an RF band signal and then transmit it through an antenna, and may down-convert an RF band signal received through the antenna into a baseband signal. For example, the RF processing unit (810) may include a transmission filter, a reception filter, an amplifier, a mixer, an oscillator, a DAC, an ADC, and the like. In FIG. 3, only one antenna is illustrated, but the RF processing unit (810) may be equipped with multiple antennas. In addition, the RF processing unit (810) may include multiple RF chains. Furthermore, the RF processing unit (810) may perform beamforming. For beamforming, the RF processing unit (810) may adjust the phase and magnitude of each signal transmitted and received through the multiple antennas or antenna elements. The RF processing unit (810) may perform a downlink MIMO operation by transmitting one or more layers.

[0109] The baseband processing unit (820) can perform a conversion function between a baseband signal and a bit stream according to the physical layer standard. For example, when transmitting data, the baseband processing unit (820) can generate complex symbols by encoding and modulating a transmission bit stream. In addition, when receiving data, the baseband processing unit (820) can restore the reception bit stream by demodulating and decoding the baseband signal provided from the RF processing unit (810). For example, in the case of following the OFDM method, when transmitting data, the baseband processing unit (820) can generate complex symbols by encoding and modulating a transmission bit stream, map the generated complex symbols to subcarriers, and then configure OFDM symbols through an IFFT operation and CP insertion. In addition, when receiving data, the baseband processing unit (820) can divide the baseband signal provided from the RF processing unit (810) into OFDM symbol units, restore the signals mapped to subcarriers through FFT operation, and then restore the received bit string through demodulation and decoding. The baseband processing unit (820) and the RF processing unit (810) can transmit and receive signals as described above. Accordingly, the baseband processing unit (820) and the RF processing unit (810) may be referred to as a transmitter, a receiver, a transceiver, a communication unit, or a wireless communication unit. The base station can transmit and receive signals with the terminal using the baseband processing unit (820) and the RF processing unit (810), and the signals may include control information and data.

[0110] The backhaul communication unit (830) may provide an interface for communicating with other nodes within the network. For example, the backhaul communication unit (830) may convert a bit stream transmitted from the primary base station to another node, such as an auxiliary base station or core network, into a physical signal, and may convert a physical signal received from another node into a bit stream.

[0111] The storage unit (840) can store data such as basic programs, application programs, and setting information for the operation of the main base station. For example, the storage unit (840) can store information on bearers assigned to connected terminals, measurement results reported from connected terminals, etc. In addition, the storage unit (840) can store information that serves as a basis for determining whether to provide or terminate multiple connections to the terminals. In addition, the storage unit (840) can provide the stored data at the request of the control unit (850). The storage unit (840) can be configured as a storage medium or a combination of storage media such as a ROM, a RAM, a hard disk, a CD-ROM, and a DVD. In addition, the storage unit (840) can be configured as a plurality of memories. According to one embodiment of the present disclosure, the storage unit (840) can also store a program for performing a handover according to the present disclosure.

[0112] The control unit (850) can control the overall operations of the base station. For example, the control unit (850) can transmit and receive signals through the baseband processing unit (820) and the RF processing unit (810) or through the backhaul communication unit (830). In addition, the control unit (850) can record and read data in the storage unit (840). For this purpose, the control unit (850) can include at least one processor. In addition, according to one embodiment of the present disclosure, the control unit (850) can include a multi-connection processing unit (852) configured to process a process operating in a multi-connection mode.

[0113] The methods according to the embodiments described in the claims or specification of the present disclosure may be implemented in the form of hardware, software, or a combination of hardware and software.

[0114] When implemented in software, a computer-readable storage medium storing one or more programs (software modules) may be provided. The one or more programs stored in the computer-readable storage medium are configured for execution by one or more processors within an electronic device. The one or more programs include instructions that cause the electronic device to execute methods according to the embodiments described in the claims or specification of the present disclosure.

[0115] These programs (software modules, software) may be stored in random access memory, non-volatile memory including flash memory, read only memory (ROM), electrically erasable programmable read only memory (EEPROM), magnetic disc storage device, compact disc ROM (CD-ROM), digital versatile discs (DVDs) or other forms of optical storage device, magnetic cassette. Or, they may be stored in a memory configured as a combination of some or all of these. In addition, each configuration memory may be included in multiple numbers.

[0116] Additionally, the program may be stored in an attachable storage device that is accessible via a communication network such as the Internet, an intranet, a local area network (LAN), a wide local area network (WLAN), a storage area network (SAN), or a combination thereof. Such a storage device may be connected to a device performing an embodiment of the present disclosure via an external port. Additionally, a separate storage device on the communication network may be connected to a device performing an embodiment of the present disclosure.

[0117] In this disclosure, the term "computer program product" or "computer-readable medium" is used to collectively refer to media such as memory, a hard disk installed in a hard disk drive, and signals. These "computer program products" or "computer-readable mediums" are components provided in a method for reporting terminal capabilities in a wireless communication system according to the present disclosure.

[0118] A device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, the term "non-transitory storage medium" simply means a tangible device that does not contain signals (e.g., electromagnetic waves). This term does not distinguish between cases where data is permanently stored in the storage medium and cases where data is temporarily stored. For example, a "non-transitory storage medium" may include a buffer in which data is temporarily stored.

[0119] According to one embodiment, the method according to various embodiments disclosed in the present document may be provided as included in a computer program product. The computer program product may be traded as a product between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read only memory (CD-ROM)), or may be distributed online (e.g., downloaded or uploaded) via an application store (e.g., Play Store™) or directly between two user devices (e.g., smartphones). In the case of online distribution, at least a portion of the computer program product (e.g., a downloadable app) may be temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0120] In the specific embodiments of the present disclosure described above, components included in the invention are expressed in the singular or plural form, depending on the specific embodiment presented. However, the singular or plural expressions are selected to suit the presented situation for convenience of explanation, and the present disclosure is not limited to singular or plural components. Components expressed in the plural form may be composed of singular elements, or components expressed in the singular form may be composed of plural elements.

[0121] Meanwhile, the embodiments of the present disclosure disclosed in this specification and drawings are merely specific examples to easily explain the technical contents of the present disclosure and to help understand the present disclosure, and are not intended to limit the scope of the present disclosure. In other words, it will be apparent to those skilled in the art that other modified examples based on the technical idea of ​​the present disclosure are possible. In addition, the above-described embodiments can be combined and operated as needed. For example, parts of one embodiment of the present disclosure and another embodiment can be combined to operate a base station and a terminal. Furthermore, the embodiments of the present disclosure can be applied to other communication systems, and other modified examples based on the technical idea of ​​the embodiments can also be implemented. For example, the embodiments can be applied to LTE systems, 5G, NR systems, or 6G systems. Therefore, the scope of the present disclosure should not be limited to the described embodiments, but should be determined not only by the scope of the following claims but also by equivalents thereof.

Claims

1. In a method performed by a terminal of a wireless communication system, A step of receiving, from a base station, an RRC (radio resource control) message including configuration information for prediction of cells of a first group; A step of performing measurements on cells of a second group for the prediction based on the above setting information; A step of generating a prediction result for the cells of the first group based on the result of the above measurement; and A method comprising the step of transmitting a report of the prediction result to the base station.

2. In paragraph 1, A step of receiving a request for first information about cells for which measurement is required for the prediction from the base station; and In response to the above request, further comprising the step of transmitting the first information to the base station, The first information includes information about cells of the second group, A method wherein the above setting information includes information for measurement of cells of the second group.

3. In paragraph 1, The above setting information includes second information for measurement of multiple cells, The cells of the second group are selected from among the plurality of cells, A method wherein the above measurement is performed on cells of the second group selected by the terminal among the plurality of cells.

4. In paragraph 1, The above setting information includes identifier information for the prediction, information on at least one measurement target associated with the identifier information, information on at least one prediction target associated with the identifier information, and information for reporting measurements associated with the identifier information. A method wherein the information about at least one measurement target includes information for measurement of cells of the second group.

5. In a method performed by a base station of a wireless communication system, A step of transmitting, to the terminal, an RRC (radio resource control) message including configuration information for prediction of cells of the first group; and A step of receiving a report on the result of the prediction from the terminal, A method wherein the above prediction is performed based on measurements of cells of the second group.

6. In paragraph 5, A step of transmitting, to the terminal, a request for first information about cells for which measurement is required for the prediction; and In response to the above request, further comprising a step of receiving the first information from the terminal, The first information includes information about cells of the second group, A method wherein the above setting information includes information for measurement of cells of the second group.

7. In paragraph 5, The above setting information includes second information for measurement of multiple cells, A method wherein the plurality of cells include cells of the second group.

8. In paragraph 5, The above setting information includes identifier information for the prediction, information on at least one measurement target associated with the identifier information, information on at least one prediction target associated with the identifier information, and information for reporting measurements associated with the identifier information. A method wherein the information about at least one measurement target includes information for measurement of cells of the second group.

9. In the terminal of a wireless communication system, Transmitter and receiver; and Includes a control unit connected to the above transmitter and receiver, The above control unit: Receive an RRC (radio resource control) message from a base station, which includes configuration information for prediction of cells of a first group, Based on the above setting information, measurements are performed on the cells of the second group for the above prediction, Based on the results of the above measurement, a prediction result for the cells of the first group is generated, and A terminal configured to transmit a report of the prediction result to the base station.

10. In paragraph 9, the control unit: Receive a request for first information about cells for which measurement is required for the prediction from the base station, and In response to the above request, the first information is further set to be transmitted to the base station, The first information includes information about cells of the second group, The terminal, wherein the above setting information includes information for measurement of cells of the second group.

11. In paragraph 9, The above setting information includes second information for measurement of multiple cells, The cells of the second group are selected from among the plurality of cells, The terminal, wherein the above measurement is performed on the cells of the second group selected by the terminal among the plurality of cells.

12. In paragraph 9, The above setting information includes identifier information for the prediction, information on at least one measurement target associated with the identifier information, information on at least one prediction target associated with the identifier information, and information for reporting measurements associated with the identifier information. A terminal, wherein the information about at least one measurement target includes information for measurement of cells of the second group.

13. In a base station of a wireless communication system, Transmitter and receiver; and Includes a control unit connected to the above transmitter and receiver, The above control unit: Transmitting to the terminal an RRC (radio resource control) message including configuration information for prediction of cells of the first group, and It is set to receive a report on the result of the prediction from the above terminal, The above prediction is performed based on measurements for cells of the second group, the base station.

14. In paragraph 13, the control unit: Transmitting to the terminal a request for first information about cells for which measurement is required for the prediction, and In response to the above request, it is further set to receive the first information from the terminal, The first information includes information about cells of the second group, A base station, wherein the above setting information includes information for measurement of cells of the second group.

15. In paragraph 13, The above setting information includes second information for measurement of multiple cells, A base station, wherein the plurality of cells include cells of the second group.

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