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WO2025135630A1 - Procédé et appareil de mesure de qualité de cellule sur la base d'intelligence artificielle et/ou d'apprentissage automatique - Google Patents

Procédé et appareil de mesure de qualité de cellule sur la base d'intelligence artificielle et/ou d'apprentissage automatique Download PDF

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Publication number
WO2025135630A1
WO2025135630A1 PCT/KR2024/019813 KR2024019813W WO2025135630A1 WO 2025135630 A1 WO2025135630 A1 WO 2025135630A1 KR 2024019813 W KR2024019813 W KR 2024019813W WO 2025135630 A1 WO2025135630 A1 WO 2025135630A1
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Prior art keywords
cell
cell list
information
list
quality
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English (en)
Korean (ko)
Inventor
이은종
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KT Corp
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KT Corp
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Priority claimed from KR1020240177187A external-priority patent/KR20250095518A/ko
Application filed by KT Corp filed Critical KT Corp
Publication of WO2025135630A1 publication Critical patent/WO2025135630A1/fr
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/20—Control channels or signalling for resource management
    • H04W72/23—Control channels or signalling for resource management in the downlink direction of a wireless link, i.e. towards a terminal
    • H04W72/231—Control channels or signalling for resource management in the downlink direction of a wireless link, i.e. towards a terminal the control data signalling from the layers above the physical layer, e.g. RRC or MAC-CE signalling

Definitions

  • This specification relates to wireless communications applicable to 5G NR, 5G-Advanced and 6G.
  • next-generation 5G system which is an improved wireless broadband communication system than the existing LTE system
  • NewRAT communication scenarios are divided into Enhanced Mobile BroadBand (eMBB) / Ultra-reliability and low-latency communication (URLLC) / Massive Machine-Type Communications (mMTC).
  • eMBB Enhanced Mobile BroadBand
  • URLLC Ultra-reliability and low-latency communication
  • mMTC Massive Machine-Type Communications
  • eMBB is a next-generation mobile communication scenario with the characteristics of High Spectrum Efficiency, High User Experienced Data Rate, and High Peak Data Rate
  • URLLC is a next-generation mobile communication scenario with the characteristics of Ultra Reliable, Ultra Low Latency, and Ultra High Availability (e.g., V2X, Emergency Service, Remote Control)
  • mMTC is a next-generation mobile communication scenario with the characteristics of Low Cost, Low Energy, Short Packet, and Massive Connectivity (e.g., IoT).
  • One disclosure of the present specification is to provide a method and device that enables a terminal to perform cell measurement, particularly, measurement of surrounding cells, using an AI/ML model to manage movement in a wireless communication system, and to report the measured cell quality results.
  • One embodiment of the present specification provides a method in which, in a wireless communication system, a terminal receives information of a first cell list and information of a second cell list associated with the first cell list from a base station, and measures a quality of at least one first cell belonging to the first cell list. In addition, the terminal predicts quality information of at least one second cell belonging to the second cell list, wherein the quality information of the at least one second cell is predicted using an artificial intelligence (AI)/machine learning (ML) model based on the measured quality of the at least one first cell.
  • AI artificial intelligence
  • ML machine learning
  • one embodiment of the present specification provides a method in which, in a wireless communication system, a base station transmits information of a first cell list and information of a second cell list associated with the first cell list to a terminal. Thereafter, the base station receives, from the terminal, a measurement report based on quality information of at least one second cell belonging to the second cell list, wherein the quality information of at least one second cell is predicted using an artificial intelligence (AI)/machine learning (ML) model based on measured quality of at least one first cell belonging to the first cell list.
  • AI artificial intelligence
  • ML machine learning
  • an embodiment of the present invention provides a wireless communication system, comprising at least one processor, and at least one memory storing instructions and being operably electrically connectable to the at least one processor, wherein the operations performed based on the instructions being executed by the at least one processor are: receiving information of a first cell list and information of a second cell list associated with the first cell list from a base station, and measuring a quality of at least one first cell belonging to the first cell list. In addition, predicting quality information of at least one second cell belonging to the second cell list, wherein the quality information of the at least one second cell is predicted using an artificial intelligence (AI)/machine learning (ML) model based on the measured quality of the at least one first cell.
  • AI artificial intelligence
  • ML machine learning
  • one embodiment of the present invention provides a wireless communication system, comprising at least one processor, and at least one memory storing instructions and being operably electrically connectable to the at least one processor, wherein the operations performed based on the instructions being executed by the at least one processor include: transmitting information of a first cell list and information of a second cell list associated with the first cell list to a terminal. Thereafter, receiving a measurement report based on quality information of at least one second cell belonging to the second cell list from the terminal, wherein the quality information of the at least one second cell provides a base station predicted using an artificial intelligence (AI)/machine learning (ML) model based on measured quality of at least one first cell belonging to the first cell list.
  • AI artificial intelligence
  • ML machine learning
  • the terminal can evaluate a measurement report condition based on predicted quality information of at least one second cell, and transmit a measurement report to the base station based on satisfaction of the evaluated measurement report condition.
  • the information of the first cell list and the information of the second list can be transmitted from the base station to the terminal via an RRC (radio resource control) message including measurement settings, and the terminal can receive the same.
  • RRC radio resource control
  • Figure 1 is a diagram illustrating a wireless communication system.
  • Figure 2 illustrates the structure of a radio frame used in NR.
  • FIGS. 3A to 3C are exemplary diagrams showing exemplary architectures for wireless communication services.
  • Figure 4 illustrates the slot structure of an NR frame.
  • Figure 5 shows examples of subframe types in NR.
  • Figure 6 illustrates the structure of a self-contained slot.
  • Figure 7 illustrates an example of a handover procedure to which the disclosure of this specification applies.
  • Figure 8 shows an example of a high-level measurement model in NR.
  • Figure 9 is a flowchart illustrating a method of operating a terminal according to one embodiment of the present specification.
  • Figures 10a and 10b show examples of cell measurements.
  • Figures 11a and 11b show further examples of cell measurements.
  • Figure 12 shows a procedure of a terminal and a base station according to one embodiment of the present specification.
  • FIG. 13 is a flowchart illustrating a method of operating a terminal according to another embodiment of the present specification.
  • FIG. 14 is a flowchart illustrating an operation method of a base station according to one embodiment of the present specification.
  • FIG. 15 illustrates a device according to one embodiment of the present specification.
  • Fig. 16 is a block diagram showing the configuration of a terminal according to one embodiment of the present specification.
  • FIG. 17 illustrates a block diagram of a processor in which the disclosure of the present specification is implemented.
  • FIG. 18 is a block diagram showing in detail the transceiver of the first device illustrated in FIG. 15 or the transceiver unit of the device illustrated in FIG. 16.
  • first, second, etc. used in this specification may be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another.
  • first component may be referred to as the second component
  • second component may also be referred to as the first component.
  • a component When it is said that a component is connected or connected to another component, it may be directly connected or connected to that other component, but there may be other components in between. On the other hand, when it is said that a component is directly connected or connected to another component, it should be understood that there are no other components in between.
  • a or B can mean “only A,” “only B,” or “both A and B.” In other words, as used herein, “A or B” can be interpreted as “A and/or B.” For example, as used herein, “A, B or C” can mean “only A,” “only B,” “only C,” or “any combination of A, B and C.”
  • a slash (/) or a comma can mean “and/or.”
  • A/B can mean “A and/or B.”
  • A/B can mean “only A,” “only B,” or “both A and B.”
  • A, B, C can mean “A, B, or C.”
  • At least one of A and B can mean “only A”, “only B” or “both A and B”. Additionally, as used herein, the expressions “at least one of A or B” or “at least one of A and/or B” can be interpreted identically to “at least one of A and B”.
  • “at least one of A, B and C” can mean “only A,” “only B,” “only C,” or “any combination of A, B and C.” Additionally, “at least one of A, B or C” or “at least one of A, B and/or C” can mean “at least one of A, B and C.”
  • control information when it is indicated as “control information (PDCCH)”, “PDCCH (Physical Downlink Control Channel)” may be suggested as an example of “control information”.
  • control information in this specification is not limited to “PDCCH”, and “PDDCH” may be suggested as an example of “control information”.
  • PDCCH Physical Downlink Control Channel
  • PDCCH Physical Downlink Control Channel
  • the attached drawing illustrates an example of a UE (User Equipment), the illustrated UE may also be referred to as a terminal, an ME (Mobile Equipment), etc.
  • the UE may be a portable device such as a laptop, a mobile phone, a PDA, a smart phone, a multimedia device, etc., or a non-portable device such as a PC or a vehicle-mounted device.
  • UE is used as an example of a device capable of wireless communication (e.g., a wireless communication device, a wireless device, or a wireless device).
  • the operations performed by the UE can be performed by any device capable of wireless communication.
  • a device capable of wireless communication may also be referred to as a wireless communication device, a wireless device, or a wireless device.
  • base station generally refers to a fixed station that communicates with wireless devices, and can be used as a comprehensive term that includes eNodeB (evolved-NodeB), eNB (evolved-NodeB), BTS (Base Transceiver System), Access Point, gNB (Next generation NodeB), RRH (remote radio head), TP (transmission point), RP (reception point), relay, etc.
  • eNodeB evolved-NodeB
  • eNB evolved-NodeB
  • BTS Base Transceiver System
  • Access Point gNB (Next generation NodeB)
  • RRH remote radio head
  • TP transmission point
  • RP reception point
  • relay etc.
  • LTE long term evolution
  • LTE-A LTE-Advanced
  • 5G 5th generation
  • the 5th generation of mobile communications as defined by the International Telecommunication Union (ITU), provides data transmission speeds of up to 20 Gbps and a perceived transmission speed of at least 100 Mbps anywhere.
  • the official name is ‘IMT-2020.’
  • ITU proposes three usage scenarios: eMBB (enhanced Mobile BroadBand), mMTC (massive Machine Type Communication), and URLLC (Ultra Reliable and Low Latency Communications).
  • eMBB enhanced Mobile BroadBand
  • mMTC massive Machine Type Communication
  • URLLC Ultra Reliable and Low Latency Communications
  • URLLC is for use scenarios that require high reliability and low latency.
  • services such as autonomous driving, factory automation, and augmented reality require high reliability and low latency (e.g., latency below 1ms).
  • the current latency of 4G (LTE) is statistically 21-43ms (best 10%), 33-75ms (median). This is insufficient to support services requiring latency below 1ms.
  • eMBB use scenarios are for use scenarios that require mobile ultra-wideband.
  • the 5th generation mobile communication system can support higher capacity than the current 4G LTE, increase the density of mobile broadband users, and support D2D (Device to Device), high stability, and MTC (Machine type communication).
  • 5G research and development also aims for lower standby time and lower battery consumption than the 4G mobile communication system to better implement the Internet of Things.
  • a new radio access technology (New RAT or NR) can be proposed.
  • the NR frequency band can be defined by two types of frequency ranges (FR1, FR2).
  • the numerical values of the frequency ranges can be changed, and for example, the two types of frequency ranges (FR1, FR2) can be as shown in Table 1 below.
  • FR1 can mean “sub 6GHz range”
  • FR2 can mean “above 6GHz range” and can be called millimeter wave (mmW).
  • mmW millimeter wave
  • FR1 can include a band of 410 MHz to 7125 MHz as shown in Table 1. That is, FR1 can include a frequency band of 6 GHz (or 5850, 5900, 5925 MHz, etc.) or higher.
  • the frequency band of 6 GHz (or 5850, 5900, 5925 MHz, etc.) or higher included in FR1 can include an unlicensed band.
  • the unlicensed band can be used for various purposes, for example, it can be used for communication for vehicles (e.g., autonomous driving).
  • 3GPP-based communication standards define downlink physical channels corresponding to resource elements carrying information originating from upper layers, and downlink physical signals corresponding to resource elements used by the physical layer but not carrying information originating from upper layers.
  • a physical downlink shared channel (PDSCH), a physical broadcast channel (PBCH), a physical multicast channel (PMCH), a physical control format indicator channel (PCFICH), a physical downlink control channel (PDCCH), and a physical hybrid ARQ indicator channel (PHICH) are defined as downlink physical channels, and a reference signal and a synchronization signal are defined as downlink physical signals.
  • a reference signal also referred to as a pilot
  • RS is a signal with a special waveform that is defined mutually between the gNB and the UE, for example, cell specific RS, UE-specific RS (UE-RS), positioning RS (PRS), and channel state information RS (CSI-RS) are defined as downlink reference signals.
  • UE-RS UE-specific RS
  • PRS positioning RS
  • CSI-RS channel state information RS
  • the 3GPP LTE/LTE-A standard defines uplink physical channels corresponding to resource elements carrying information originating from higher layers, and uplink physical signals corresponding to resource elements used by the physical layer but not carrying information originating from higher layers.
  • a physical uplink shared channel (PUSCH), a physical uplink control channel (PUCCH), and a physical random access channel (PRACH) are defined as uplink physical channels
  • a demodulation reference signal (DMRS) for uplink control/data signals
  • a sounding reference signal (SRS) used for uplink channel measurement are defined.
  • PDCCH Physical Downlink Control CHannel
  • PCFICH Physical Control Format Indicator CHannel
  • PHICH Physical Hybrid automatic retransmit request Indicator CHannel
  • PDSCH Physical Downlink Shared CHannel
  • DCI Downlink Control Information
  • CFI Control Format Indicator
  • Downlink ACK/NACK ACKnowlegement/Negative ACK
  • PUCCH Physical Uplink Control CHannel
  • PUSCH Physical Uplink Shared CHannel
  • PRACH Physical Random Access CHannel
  • UCI Uplink Control Information
  • Figure 1 is a diagram illustrating a wireless communication system.
  • the wireless communication system includes at least one base station (BS).
  • the BS is divided into a gNodeB (or gNB) (20a) and an eNodeB (or eNB) (20b).
  • the gNB (20a) supports 5th generation mobile communication.
  • the eNB (20b) supports 4th generation mobile communication, i.e., LTE (long term evolution).
  • Each base station (20a and 20b) provides communication services for a specific geographic area (generally called a cell) (20-1, 20-2, 20-3).
  • the cell may be further divided into a number of areas (called sectors).
  • a UE usually belongs to one cell, and the cell to which the UE belongs is called a serving cell.
  • a base station that provides communication services for a serving cell is called a serving BS. Since a wireless communication system is a cellular system, there are other cells adjacent to the serving cell. Other cells adjacent to a serving cell are called neighbor cells.
  • a base station that provides communication services for a neighbor cell is called a neighbor BS. The serving cell and neighbor cells are determined relatively based on the UE.
  • downlink means communication from a base station (20) to a UE (10)
  • uplink means communication from a UE (10) to a base station (20).
  • the transmitter may be part of the base station (20), and the receiver may be part of the UE (10).
  • the transmitter may be part of the UE (10), and the receiver may be part of the base station (20).
  • wireless communication systems can be largely divided into FDD (frequency division duplex) and TDD (time division duplex).
  • FDD frequency division duplex
  • TDD time division duplex
  • uplink transmission and downlink transmission are performed while occupying different frequency bands.
  • TDD time division duplex
  • the channel response of the TDD method is substantially reciprocal. This means that the downlink channel response and the uplink channel response are almost the same in a given frequency domain. Therefore, in a wireless communication system based on TDD, the downlink channel response has the advantage of being able to be obtained from the uplink channel response.
  • the entire frequency band is time-divided into uplink transmission and downlink transmission, so the downlink transmission by the base station and the uplink transmission by the UE cannot be performed simultaneously.
  • uplink transmission and downlink transmission are divided into subframe units, uplink transmission and downlink transmission are performed in different subframes.
  • Figure 2 illustrates the structure of a radio frame used in NR.
  • a radio frame has a length of 10 ms and is defined by two 5 ms half-frames (Half-Frames, HF).
  • a half-frame is defined by five 1 ms subframes (Subframes, SF).
  • a subframe is divided into one or more slots, and the number of slots in a subframe depends on the Subcarrier Spacing (SCS).
  • SCS Subcarrier Spacing
  • Each slot contains 12 or 14 OFDM (A) symbols depending on the cyclic prefix (CP). When a normal CP is used, each slot contains 14 symbols. When an extended CP is used, each slot contains 12 symbols.
  • a symbol may include an OFDM symbol (or a CP-OFDM symbol), an SC-FDMA symbol (or a DFT-s-OFDM symbol).
  • multiple numerologies may be provided to a terminal as wireless communication technology advances. For example, when the SCS is 15 kHz, it supports a wide area in traditional cellular bands; when the SCS is 30 kHz/60 kHz, it supports dense-urban, lower latency, and wider carrier bandwidth; and when the SCS is 60 kHz or higher, it supports a bandwidth larger than 24.25 GHz to overcome phase noise.
  • the above numerology can be defined by the CP (cycle prefix) length and the subcarrier spacing (SCS).
  • One cell can provide multiple numerologies to the terminal.
  • the index of the numerology is represented as ⁇
  • each subcarrier spacing and the corresponding CP length can be as shown in the table below.
  • N slot symb the number of OFDM symbols per slot
  • N frame, ⁇ slot the number of slots per frame
  • N subframe, ⁇ slot the number of slots per subframe
  • ⁇ ⁇ f 2 ⁇ 15 [kHz] N slot symb N frame, ⁇ slot N subframe, ⁇ slot 0 15 14 10 1 1 30 14 20 2 2 60 14 40 4 3 120 14 80 8 4 240 14 160 16 5 480 14 320 32 6 960 14 640 64
  • N slot symb the number of OFDM symbols per slot
  • N frame, ⁇ slot the number of slots per frame
  • N subframe, ⁇ slot the number of slots per subframe
  • OFDM(A) numerology e.g., SCS, CP length, etc.
  • OFDM(A) numerology e.g., SCS, CP length, etc.
  • the (absolute time) section of a time resource e.g., SF, slot or TTI
  • TU Time Unit
  • Figures 3a to 3c are exemplary diagrams showing exemplary architectures for wireless communication services.
  • the UE is connected to an LTE/LTE-A based cell and an NR based cell in a DC (dual connectivity) manner.
  • DC dual connectivity
  • the above NR-based cell is connected to the core network for existing 4th generation mobile communications, i.e. Evolved Packet Core (EPC).
  • EPC Evolved Packet Core
  • an LTE/LTE-A-based cell is connected to a core network for 5th generation mobile communications, i.e., a 5G core network.
  • NSA non-standalone
  • the UE is connected only to NR-based cells.
  • a service method based on this architecture is called SA (standalone).
  • reception from a base station uses a downlink subframe, and transmission to a base station uses an uplink subframe.
  • This method can be applied to paired spectrums and non-paired spectrums.
  • a pair of spectrums means that two carrier spectrums are included for downlink and uplink operations.
  • one carrier can include a downlink band and an uplink band that are paired with each other.
  • Figure 4 illustrates the slot structure of an NR frame.
  • a slot includes multiple symbols in the time domain. For example, in the case of a normal CP, one slot includes 14 symbols, but in the case of an extended CP, one slot includes 12 symbols.
  • a carrier includes multiple subcarriers in the frequency domain.
  • An RB Resource Block
  • a BWP Bandwidth Part
  • a terminal can be configured with up to N (e.g., 4) BWPs in the downlink and uplink, respectively.
  • each element is referred to as a Resource Element (RE), to which one complex symbol can be mapped.
  • RE Resource Element
  • Figure 5 shows examples of subframe types in NR.
  • the TTI (transmission time interval) illustrated in FIG. 5 may be called a subframe or slot for NR (or new RAT).
  • the subframe (or slot) of FIG. 5 may be used in a TDD system of NR (or new RAT) to minimize data transmission delay.
  • the subframe (or slot) includes 14 symbols.
  • the symbols in the front of the subframe (or slot) may be used for a downlink (DL) control channel, and the symbols in the back of the subframe (or slot) may be used for an uplink (UL) control channel.
  • the remaining symbols may be used for DL data transmission or UL data transmission.
  • downlink transmission and uplink transmission may be sequentially performed in one subframe (or slot). Therefore, downlink data may be received within a subframe (or slot), and an uplink acknowledgement (ACK/NACK) may be transmitted within the subframe (or slot).
  • ACK/NACK uplink acknowledgement
  • subframes or slots
  • slots self-contained subframes
  • the first N symbols in a slot are used to transmit a DL control channel (hereinafter, DL control region), and the last M symbols in the slot can be used to transmit a UL control channel (hereinafter, UL control region).
  • N and M are each an integer greater than or equal to 0.
  • a resource region (hereinafter, data region) between the DL control region and the UL control region can be used for DL data transmission or UL data transmission.
  • a physical downlink control channel (PDCCH) can be transmitted in the DL control region
  • a physical downlink shared channel (PDSCH) can be transmitted in the DL data region.
  • a physical uplink control channel (PUCCH) can be transmitted in the UL control region, and a physical uplink shared channel (PUSCH) can be transmitted in the UL data region.
  • a time gap may be required for a transition process from a transmission mode to a reception mode or from a reception mode to a transmission mode.
  • some OFDM symbols when switching from DL to UL in the subframe structure can be set as a guard period (GP).
  • Figure 6 illustrates the structure of a self-contained slot.
  • a frame is characterized by a self-contained structure in which a DL control channel, DL or UL data, and a UL control channel can all be included in one slot.
  • the first N symbols in a slot can be used to transmit a DL control channel (hereinafter, referred to as a DL control region), and the last M symbols in a slot can be used to transmit a UL control channel (hereinafter, referred to as a UL control region).
  • N and M are each integers greater than or equal to 0.
  • a resource region hereinafter, referred to as a data region
  • a data region between the DL control region and the UL control region can be used for DL data transmission or UL data transmission.
  • the following configuration can be considered. Each section is listed in chronological order.
  • DL Area (i) DL Data Area, (ii) DL Control Area + DL Data Area
  • UL domain (i) UL data domain, (ii) UL data domain + UL control domain.
  • a PDCCH In the DL control region, a PDCCH can be transmitted, and in the DL data region, a PDSCH can be transmitted.
  • a PUCCH In the UL control region, a PUCCH can be transmitted, and in the UL data region, a PUSCH can be transmitted.
  • DCI Downlink Control Information
  • UCI Uplink Control Information
  • ACK/NACK Positive Acknowledgement/Negative Acknowledgement
  • CSI Channel State Information
  • SR Service Request
  • GP provides a time gap during the process in which a base station and a terminal switch from a transmission mode to a reception mode or during the process in which they switch from a reception mode to a transmission mode. Some symbols at the time of switching from DL to UL within a subframe can be set to GP.
  • Network controlled mobility is applied to terminals/UEs in RRC_CONNECTED and can be classified into two types: cell level mobility and beam level mobility.
  • Cell level mobility requires explicit RRC signaling to be triggered.
  • Figure 7 illustrates an example of a handover procedure to which the disclosure of this specification applies.
  • a source gNB initiates a handover and transmits a handover request message to a target gNB via the Xn interface (S701).
  • the target gNB performs admission control and provides a new RRC configuration to the source gNB as part of a handover request acknowledge message (S702).
  • the source gNB provides the RRC configuration to the UE by forwarding an RRC reconfiguration message received in the handover request acknowledge message (S703).
  • the RRC reconfiguration message includes at least a cell ID and all information required to access the target cell so that the UE can access the target cell without reading system information. In some cases, information required for contention-based and contention-free random access may be included in the RRC reconfiguration message. Access information for the target cell may include beam specific information if available.
  • the UE switches to a new cell, i.e., moves the RRC connection to the target base station, and transmits an RRC reconfiguration complete message (S704).
  • Figure 8 shows an example of a high-level measurement model in NR.
  • the UE measures multiple beams (at least one) of the cell and the measurement results (power values) are averaged to obtain the cell quality.
  • the UE is configured to consider a subset of the detected beams, i.e. N best beams above an absolute threshold. Filtering is done at two different levels, i.e. at the physical layer to derive the beam quality and then at the RRC level to derive the cell quality from the multiple beams.
  • the cell quality from the beam measurements is obtained in the same way for the serving cell(s) and the non-serving cell(s).
  • a measurement report may include the measurement results of X best beams, if the UE is configured to do so by the gNB.
  • the K beams correspond to measurements on SSB or CSI-RS resources configured by the base station for L3 mobility and detected by the terminal in L1.
  • 'A' are measurements (beam specific samples) within the physical layer.
  • 'Layer 1 filtering' is internal Layer 1 filtering of the inputs measured at point A.
  • the exact filtering is implementation-dependent. How the measurement (input A and Layer 1 filtering) is actually performed at the physical layer by an implementation is not constrained by the standard.
  • 'A 1 ' are measurements reported by Layer 3 from Layer 1 after Layer 1 filtering (i.e. beam specific measurements).
  • the operation of Beam Consolidation/Selection is standardized and the configuration of this module is provided by RRC signaling.
  • the reporting period in B is equal to one measurement period in A 1 .
  • 'B' is a measurement derived from beam specific measurements reported to Layer 3 after beam integration/selection (i.e. cell quality).
  • 'Layer 3 filtering for cell quality' is filtering performed on the measurements provided at point B.
  • the operation of layer 3 filters is standardized and the configuration of layer 3 filters is provided by RRC signaling.
  • the filtering report period at C is equal to one measurement period at B.
  • 'C' is the measurement after processing in the layer 3 filter.
  • the report rate is the same as the report rate at point B. This measurement is used as input to one or more reporting criteria evaluations.
  • reporting criteria'Evaluation of reporting criteria' is to determine whether actual measurement reporting is required at point D.
  • the evaluation can be performed based on measurements of one or more flows at reference point C, for example, to compare different measurements. This is represented by inputs C and C 1 .
  • the UE shall evaluate the reporting criteria at least every time a new measurement result is reported at points C and C 1 .
  • the reporting criteria are standardized and their configuration is provided by RRC signaling (UE measurements).
  • 'D' is measurement report information (message) transmitted over the radio interface.
  • Beam filtering' is the filtering performed on the measurements provided at point A1 (i.e. beam specific measurements).
  • the operation of the beam filters is standardized and the configuration of the beam filters is provided by RRC signaling.
  • the filtering report period at point E is equal to one measurement period at point A1 .
  • 'E' is the post-processing measurement in the beam filter (i.e., beam specific measurement).
  • the reporting rate is equal to the reporting rate at point A1. This measurement is used as input to select the X measurements to be reported.
  • Beam Selection for beam reporting' selects X measurements from the measurements provided at point E.
  • the operation of beam selection is standardized and the configuration of this module is provided by RRC signaling.
  • 'F' is beam measurement information included in the measurement report (transmitted) over the wireless interface.
  • Layer 1 filtering introduces some level of measurement averaging. How and when the terminal performs the required measurements is implemented specifically to the point where the output at B meets the performance requirements set out in 3GPP TS 38.133.
  • Layer 3 filtering for cell quality and the associated parameters used are specified in 3GPP TS 38.331 and do not delay the availability of samples between B and C. Measurements at points C and C 1 are inputs used for event evaluation. L3 beam filtering and the associated parameters used are specified in 3GPP TS 38.331 and do not delay the availability of samples between E and F.
  • Measurement reports contain the measurement identifier of the relevant measurement setup that triggered the report;
  • the number of non-serving cells to be reported may be limited by network settings
  • Cells that belong to the exclude-list set by the network are not used for event evaluation and reporting, and conversely, if an allow-list is set by the network, only cells that belong to the allow-list are used for event evaluation and reporting.
  • the beam measurements to be included in the measurement reports are set by the network (beam identifier only, measurement results and beam identifier, or no beam report).
  • NR In the case of BM discussed in RAN1, research on 'AI/ML for BM' was conducted for the purpose of reducing the burden/delay of beam measurement for mobility between beams set within a cell, as well as the overhead for reference signal resources allocated for beam measurement.
  • NR experiences frequent link failures due to beamforming technology in high frequency bands. This also affects the decision on inter-cell handover (HO), and beam link failure can lead to frequent handovers or handover failures. Therefore, NR mobility enhancement has been continuously discussed and the following features have been defined to solve this problem.
  • HO but also BM can be considered as one of the main elements for mobility, and similar to the 'AI/ML for BM' researched in Release-18, various techniques can be proposed to reduce the measurement burden as well as the delay of HO by measuring only some surrounding cells by applying AI/ML models as a new method to ensure seamless mobility between cells. This can be done not only by measuring some cells instead of all surrounding cells, but also by predicting the signal strength/quality of a cell by measuring only some beams of the surrounding cells. Alternatively, by predicting the timing of reporting the measurement results and the timing of HO execution through the measurement of the surrounding cells at the current point in time and preparing for HO in advance, it is expected that the interruption time can be minimized and the HO accuracy can be improved.
  • 3GPP has continuously performed measurements of not only the serving cell but also surrounding cells to ensure link connectivity of mobile terminals.
  • cells of various sizes are appearing, which is changing into an environment where a large number of cells are deployed. Accordingly, the burden of measuring a larger number of cells has increased for terminals, which has led to a large overhead and increased complexity for the terminals.
  • Various technologies have been proposed in 5G to reduce this measurement burden, and measurement relaxation and mobility enhancement have been studied as major issues of 5G.
  • a new signaling technique needs to be defined between the base station and the terminal.
  • the signal strength/quality of all candidate cells is predicted by measuring only the signal strength/quality of the cells to be used as the input values of the model instead of measuring all surrounding cells, a method is needed for the base station to instruct the terminal about the candidate cells to be derived as the output of the model and the measurement cells to be used as the inputs of the model.
  • Figure 9 is a flowchart illustrating a method of operating a terminal according to one embodiment of the present specification.
  • the base station Based on the AI/ML model information supported by the terminal, the base station transmits to the terminal a measurement configuration message including an indicator for indicating information about a cell (hereinafter referred to as Cell_SetB) to be used as an input value of the model and information about a cell (hereinafter referred to as Cell_SetA) to be derived as an output value of the model, and the terminal receiving the message uses the signal intensity measurement for the cells belonging to Cell_SetB as the input value of the AI/ML model, and predicts the signal intensity for the cells belonging to Cell_SetA. If there is a cell that satisfies the event set by the base station among the predicted cells, the predicted/measured signal intensity is reported to the base station.
  • Cell_SetB an indicator for indicating information about a cell
  • Cell_SetA information about a cell
  • the terminal receives a message including information indicating at least one cell (Set B) that performs measurement from a base station and at least one cell (Set A) that performs prediction (S901). Based on the received information, the cell quality for the cell indicated as Set B is measured (S902), and the cell quality for the cell indicated as Set A is predicted using the measured cell quality as an input value of an AI/ML model (S903). Thereafter, the terminal evaluates a reporting condition based on the predicted cell quality for the cells belonging to Set A, and if satisfied, transmits a reporting message to the base station (S904).
  • the AI/ML model is a model that uses the measurement result values for some surrounding cells (Cell_SetB) as input values to predict the predicted signal strength/quality for all surrounding cells (Cell_SetA). This can be a model that predicts the current/future signal strength for surrounding cells based on the movement characteristics of the terminal (e.g., speed, direction, etc.).
  • Figures 10a and 10b show examples of cell measurements.
  • FIGS. 10A to 10B illustrate examples of a terminal performing peripheral cell measurements, and in particular, FIG. 10B illustrates an example of performing cell measurements based on an AI/ML model.
  • the terminal starts measuring surrounding cells based on the settings received from the base station.
  • the terminal supporting the AI/ML model performs measurements only for the cell(s) indicated by Cell_SetB from the base station, and uses the information of the measured cell(s) as the input value of the model to predict the signal strength of the cell(s) indicated by Cell_SetA.
  • Cell_SetB may be a subset of Cell_SetA, or may be composed of the same or different cells.
  • the base station transmits to the terminal an indicator, which indicates a cell to be used as an input value of an AI/ML model (i.e., a cell on which the terminal should perform measurement, Cell_SetB) and a cell to be derived as an output value (i.e., a cell on which the terminal performs prediction, Cell_SetA), in a measurement configuration including information related to peripheral cell measurement for peripheral cells.
  • the indicator may additionally define a predicted cell list associated with the cell list in addition to the cell list defined in the measurement object.
  • the terminal may define a distinction between cells to be measured (Cell_SetB list) and cells to be predicted (Cell_SetA list) by explicitly indicating them through the definition of a new measurement object for AI/ML (e.g., MeasObjectAIML).
  • Cell_SetB may be a subset of Cell_SetA. If Cell_SetB is a subset of Cell_SetA, it means that Cell_SetA actually contains the cell quality for Cell_SetB derived through measurements.
  • the terminal obtains a cell list on which measurement is to be performed and performs serving/surrounding cell measurement through this.
  • a predicted cell list related to the cell list is additionally obtained in addition to the cell list defined in the measurement object, the cell quality results for the cells belonging to the cell list are used as the input values of the AI/ML model, and the results for the cells indicated by the predicted cell list are predicted as the output values of the model. Accordingly, whether to transmit a report message is determined based on the predicted neighboring cell quality results derived by the AI/ML model.
  • Cell_SetB list a list of cells to be measured
  • Cell_SetA list a list of cells to be predicted
  • Cell_SetB list a list of cells to be measured
  • Cell_SetA list a list of cells to be predicted
  • measurement is performed on cells belonging to the explicitly indicated Cell_SetB list, used as input values of the AI/ML model, and the results for the cells indicated by the Cell_SetA list are predicted as model output values.
  • whether to send a report message is determined based on the predicted surrounding cell quality results derived by the AI/ML model.
  • Figures 11a and 11b show further examples of cell measurements.
  • the terminal may additionally receive beam setting information for cells belonging to Cell_SetB. Beam measurement based on SSB/CSI-RS is performed using the received beam setting information.
  • the AI/ML model may be instructed to be applied once more to derive results for beams belonging to Cell_SetB. This means that the terminal acquires beam intensity/quality results of beams related to a cell (Cell_SetB) for which it is instructed to perform actual measurement using the AI/ML model.
  • FIGS. 11a and 11b show examples of performing cell measurement using beam measurement result values for cells belonging to Cell_SetB, and in particular, FIG. 11b shows an example of performing cell measurement through AI/ML model-based beam measurement.
  • the cell quality can be derived using the measured beam results, and the cell quality for the cells belonging to Cell_SetA can be predicted based on the derived cell qualities of the cells belonging to Cell_SetB.
  • the cell quality of the cells belonging to Cell_SetB can be derived using beam prediction. This has the effect of reducing the overall beam measurement burden and DL (downlink) RS (reference signal) overhead by deriving the results of the beams set for the cells set to Cell_SetB using the AI/ML model.
  • the base station can include information on SetA/B (Beam_SetA/Beam_SetB) of the beams (SSB/CSI-RS) belonging to Cell_SetB in the measurement configuration and transmit it.
  • the measurement results for beams belonging to the Cell_SetB in this manner are used to predict Beam_SetA for Cell_SetB, and the predicted beam results belonging to Beam_SetA by the 'AI/ML for BM' model are used to derive the cell quality for Cell_SetB, and the derived cell quality of Cell_SetB is used as the input value of the 'AI/ML for mobility' model to predict the cell quality for the entire Cell_SetA.
  • Figure 12 shows a procedure of a terminal and a base station according to one embodiment of the present specification.
  • the terminal receives an RRC message including measurement configuration (measConfig) from the base station (S1201).
  • the message may be an RRC reconfiguration message and may include at least one of the following information:
  • PredictedCellList - Predicted cell list
  • the cell list is used as the input of the AI/ML model
  • the predicted cell list is used as the output of the AI/ML model.
  • the predicted cell list may include the cell list, or the predicted cell list may include cell information less than or equal to the cell list.
  • the terminal performs measurements on cells belonging to a cell list based on information received from a base station (S1202). Specifically, the beam intensity for cells belonging to the cell list is measured and cell quality is derived from this.
  • the terminal uses the derived cell quality for the corresponding cell list as an input value for the relevant AI/ML model.
  • the received predicted cell list is used as an output value of the AI/ML model.
  • the terminal performs prediction on cells belonging to the predicted cell list (S1203). That is, the terminal derives the predicted cell quality for cells belonging to the predicted cell list using the AI/ML model.
  • the predicted cell quality derived for the cells belonging to the predicted cell list is used to evaluate the reporting criteria (S1204). If there is a satisfied criterion (event), a measurement report message including cell information set by the base station is transmitted to the base station (S1205).
  • the base station transmits an RRC message containing measurement configuration (measConfig) suitable for the AI/ML model/function of the terminal to the terminal (S1201).
  • the message may be an RRC reconfiguration message and may include at least one of the following information.
  • PredictedCellList - Predicted cell list
  • the cell list is used as the input of the AI/ML model
  • the predicted cell list is used as the output of the AI/ML model.
  • the predicted cell list may include the cell list, or the predicted cell list may include cell information less than or equal to the cell list.
  • the base station receives a measurement report message including result values for cells belonging to a predicted cell list from the terminal (S1205).
  • FIG. 13 is a flowchart illustrating a method of operating a terminal according to another embodiment of the present specification.
  • the terminal receives information of a first cell list and information of a second cell list associated with the first cell list from a base station (S1301), and measures the quality of at least one first cell belonging to the first cell list (S1302). In addition, the terminal predicts quality information of at least one second cell belonging to the second cell list (S1303).
  • the quality information of at least one second cell is predicted using an AI (artificial intelligence)/ML (machine learning) model based on the measured quality of at least one first cell.
  • the terminal can evaluate a measurement report condition based on predicted quality information of at least one second cell, and transmit a measurement report to the base station based on satisfaction of the evaluated measurement report condition.
  • the first cell list may be associated with an input of the AI/ML model
  • the second cell list may be associated with an output of the AI/ML model
  • the second cell list may include the first cell list
  • the information of the first cell list and the information of the second list can be received from the base station through an RRC (radio resource control) message including measurement settings.
  • RRC radio resource control
  • FIG. 14 is a flowchart illustrating an operation method of a base station according to one embodiment of the present specification.
  • the base station transmits information of a first cell list and information of a second cell list associated with the first cell list to the terminal (S1401). Thereafter, a measurement report based on quality information of at least one second cell belonging to the second cell list is received from the terminal (S1402).
  • the quality information of at least one second cell is predicted using an AI (artificial intelligence)/ML (machine learning) model based on the measured quality of at least one first cell.
  • the first cell list may be associated with an input of the AI/ML model
  • the second cell list may be associated with an output of the AI/ML model
  • the second cell list may include the first cell list
  • the information of the first cell list and the information of the second list can be transmitted from the base station to the terminal via an RRC (radio resource control) message including measurement settings.
  • RRC radio resource control
  • FIG. 15 illustrates a device according to one embodiment of the present specification.
  • a wireless communication system may include a first device (100a) and a second device (100b).
  • the above first device (100a) may be a base station, a network node, a transmitting terminal, a receiving terminal, a wireless device, a wireless communication device, a vehicle, a vehicle equipped with an autonomous driving function, a connected car, a drone (Unmanned Aerial Vehicle, UAV), an AI (Artificial Intelligence) module, a robot, an AR (Augmented Reality) device, a VR (Virtual Reality) device, an MR (Mixed Reality) device, a hologram device, a public safety device, an MTC device, an IoT device, a medical device, a fintech device (or a financial device), a security device, a climate/environmental device, a device related to 5G services, or any other device related to the 4th industrial revolution field.
  • UAV Unmanned Aerial Vehicle
  • AI Artificial Intelligence
  • a robot an AR (Augmented Reality) device, a VR (Virtual Reality) device, an MR (Mixed
  • the second device (100b) may be a base station, a network node, a transmitting terminal, a receiving terminal, a wireless device, a wireless communication device, a vehicle, a vehicle equipped with an autonomous driving function, a connected car, a drone (Unmanned Aerial Vehicle, UAV), an AI (Artificial Intelligence) module, a robot, an AR (Augmented Reality) device, a VR (Virtual Reality) device, an MR (Mixed Reality) device, a hologram device, a public safety device, an MTC device, an IoT device, a medical device, a fintech device (or a financial device), a security device, a climate/environmental device, a device related to 5G services, or any other device related to the 4th industrial revolution field.
  • UAV Unmanned Aerial Vehicle
  • AI Artificial Intelligence
  • a robot an AR (Augmented Reality) device, a VR (Virtual Reality) device, an MR (Mixed Reality
  • the first device (100a) may include at least one processor, such as a processor (1020a), at least one memory, such as a memory (1010a), and at least one transceiver, such as a transceiver (1031a).
  • the processor (1020a) may perform the functions, procedures, and/or methods described above.
  • the processor (1020a) may perform one or more protocols.
  • the processor (1020a) may perform one or more layers of a wireless interface protocol.
  • the memory (1010a) may be connected to the processor (1020a) and may store various forms of information and/or commands.
  • the transceiver (1031a) may be connected to the processor (1020a) and may be controlled to transmit and receive wireless signals.
  • the second device (100b) may include at least one processor, such as a processor (1020b), at least one memory device, such as a memory (1010b), and at least one transceiver, such as a transceiver (1031b).
  • the processor (1020b) may perform the functions, procedures, and/or methods described above.
  • the processor (1020b) may implement one or more protocols.
  • the processor (1020b) may implement one or more layers of a wireless interface protocol.
  • the memory (1010b) may be connected to the processor (1020b) and may store various forms of information and/or commands.
  • the transceiver (1031b) may be connected to the processor (1020b) and may be controlled to transmit and receive wireless signals.
  • the above memory (1010a) and/or the above memory (1010b) may be connected internally or externally to the processor (1020a) and/or the processor (1020b), respectively, and may be connected to another processor via various technologies such as a wired or wireless connection.
  • the first device (100a) and/or the second device (100b) may have one or more antennas.
  • the antenna (1036a) and/or the antenna (1036b) may be configured to transmit and receive wireless signals.
  • Fig. 16 is a block diagram showing the configuration of a terminal according to one embodiment of the present specification.
  • FIG. 16 is a drawing illustrating the device of FIG. 15 in more detail.
  • the device includes a memory (1010), a processor (1020), a transceiver (1031), a power management module (1091), a battery (1092), a display (1041), an input unit (1053), a speaker (1042), a microphone (1052), a subscriber identification module (SIM) card, and one or more antennas.
  • the processor (1020) may be configured to implement the proposed functions, procedures and/or methods described herein. Layers of a radio interface protocol may be implemented in the processor (1020).
  • the processor (1020) may include an application-specific integrated circuit (ASIC), another chipset, logic circuitry and/or data processing devices.
  • the processor (1020) may be an application processor (AP).
  • the processor (1020) may include at least one of a digital signal processor (DSP), a central processing unit (CPU), a graphics processing unit (GPU), and a modem (modulator and demodulator).
  • DSP digital signal processor
  • CPU central processing unit
  • GPU graphics processing unit
  • modem modulator and demodulator
  • Examples of the processor (1020) may be a SNAPDRAGONTM series processor manufactured by Qualcomm®, an EXYNOSTM series processor manufactured by Samsung®, an A series processor manufactured by Apple®, a HELIOTM series processor manufactured by MediaTek®, an ATOMTM series processor manufactured by INTEL®, a KIRINTM series processor manufactured by HiSilicon®, or a corresponding next-generation processor.
  • the power management module (1091) manages power to the processor (1020) and/or the transceiver (1031).
  • the battery (1092) supplies power to the power management module (1091).
  • the display (1041) outputs the results processed by the processor (1020).
  • the input unit (1053) receives input to be used by the processor (1020).
  • the input unit (1053) can be displayed on the display (1041).
  • a SIM card is an integrated circuit used to securely store an international mobile subscriber identity (IMSI) and its associated keys, which are used to identify and authenticate subscribers in mobile devices such as mobile phones and computers. Contact information can also be stored on many SIM cards.
  • IMSI international mobile subscriber identity
  • the memory (1010) is operably coupled with the processor (1020) and stores various information for operating the processor (610).
  • the memory (1010) may include a read-only memory (ROM), a random access memory (RAM), a flash memory, a memory card, a storage medium, and/or other storage devices.
  • ROM read-only memory
  • RAM random access memory
  • flash memory a non-transitory computer-readable medium
  • the modules may be stored in the memory (1010) and executed by the processor (1020).
  • the memory (1010) may be implemented within the processor (1020). Alternatively, the memory (1010) may be implemented outside the processor (1020) and may be communicatively connected to the processor (1020) via various means known in the art.
  • the transceiver (1031) is operably coupled to the processor (1020) and transmits and/or receives a radio signal.
  • the transceiver (1031) includes a transmitter and a receiver.
  • the transceiver (1031) may include a baseband circuit for processing a radio frequency signal.
  • the transceiver controls one or more antennas to transmit and/or receive a radio signal.
  • the processor (1020) transmits command information to the transceiver (1031) to initiate communication, for example, to transmit a radio signal constituting voice communication data.
  • the antenna functions to transmit and receive radio signals.
  • the transceiver (1031) may transmit the signal for processing by the processor (1020) and convert the signal to a baseband.
  • the processed signal may be converted into audible or readable information output through the speaker (1042).
  • the speaker (1042) outputs sound-related results processed by the processor (1020).
  • the microphone (1052) receives sound-related input to be used by the processor (1020).
  • a user inputs command information, such as a telephone number, for example, by pressing (or touching) a button on an input unit (1053) or by voice activation using a microphone (1052).
  • the processor (1020) receives the command information and processes it to perform an appropriate function, such as making a call to the telephone number.
  • Operational data may be extracted from a SIM card or memory (1010).
  • the processor (1020) may display command information or operational information on a display (1041) for the user's recognition and convenience.
  • FIG. 17 illustrates a block diagram of a processor in which the disclosure of the present specification is implemented.
  • the processor (1020) implementing the disclosure of the present specification may include a plurality of circuits to implement the proposed functions, procedures and/or methods described herein.
  • the processor (1020) may include a first circuit (1020-1), a second circuit (1020-2) and a third circuit (1020-3).
  • the processor (1020) may include more circuits.
  • Each circuit may include a plurality of transistors.
  • the above processor (1020) may be called an ASIC (application-specific integrated circuit) or AP (application processor) and may include at least one of a DSP (digital signal processor), a CPU (central processing unit), and a GPU (graphics processing unit).
  • ASIC application-specific integrated circuit
  • AP application processor
  • DSP digital signal processor
  • CPU central processing unit
  • GPU graphics processing unit
  • FIG. 18 is a block diagram showing in detail the transceiver of the first device illustrated in FIG. 15 or the transceiver unit of the device illustrated in FIG. 16.
  • the transceiver unit (1031) includes a transmitter (1031-1) and a receiver (1031-2).
  • the transmitter (1031-1) includes a DFT (Discrete Fourier Transform) unit (1031-11), a subcarrier mapper (1031-12), an IFFT unit (1031-13), a CP insertion unit (1031-14), and a wireless transmitter unit (1031-15).
  • the transmitter (1031-1) may further include a modulator.
  • the transmitter may further include a scramble unit (not shown), a modulation mapper (not shown), a layer mapper (not shown), and a layer permutator (not shown), which may be arranged before the DFT unit (1031-11).
  • the transmitter (1031-1) first causes information to pass through a DFT (1031-11) before mapping the signal to a subcarrier.
  • the signal spread (or precoded in the same sense) by the DFT unit (1031-11) is mapped to a subcarrier through a subcarrier mapper (1031-12) and then passes through an IFFT (Inverse Fast Fourier Transform) unit (1031-13) to be converted into a signal on the time axis.
  • IFFT Inverse Fast Fourier Transform
  • the DFT unit (1031-11) performs DFT on the input symbols and outputs complex-valued symbols. For example, if Ntx symbols are input (where Ntx is a natural number), the DFT size is Ntx.
  • the DFT unit (1031-11) may be called a transform precoder.
  • the subcarrier mapper (1031-12) maps the complex symbols to each subcarrier in the frequency domain. The complex symbols may be mapped to resource elements corresponding to resource blocks allocated for data transmission.
  • the subcarrier mapper (1031-12) may be called a resource element mapper.
  • the IFFT unit (1031-13) performs IFFT on the input symbols and outputs a baseband signal for data, which is a time-domain signal.
  • the CP insertion unit (1031-14) copies a portion of the rear part of the base band signal for data and inserts it into the front part of the base band signal for data.
  • CP insertion ISI (Inter-Symbol Interference) and ICI (Inter-Carrier Interference) are prevented, so that orthogonality can be maintained even in a multipath channel.
  • the receiver (1031-2) includes a wireless receiving unit (1031-21), a CP removing unit (1031-22), an FFT unit (1031-23), and an equalizer unit (1031-24).
  • the wireless receiving unit (1031-21), the CP removing unit (1031-22), and the FFT unit (1031-23) of the receiver (1031-2) perform the inverse functions of the wireless transmitting unit (1031-15), the CP inserting unit (1031-14), and the IFF unit (1031-13) of the transmitting terminal (1031-1).
  • the receiver (1031-2) may further include a demodulator.
  • the methods are described based on the flow chart as a series of steps or blocks, but the order of the steps described is not limited, and some steps may occur in a different order or simultaneously with other steps described above. Furthermore, those skilled in the art will understand that the steps depicted in the flow chart are not exclusive, and other steps may be included or one or more of the steps in the flow chart may be deleted without affecting the scope of the rights.

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Abstract

L'invention concerne un procédé et un appareil de mesure de qualité de cellule sur la base d'une intelligence artificielle (IA)/d'un apprentissage automatique (ML) Le présent terminal reçoit, en provenance d'une station de base, des informations concernant une première liste de cellules et des informations concernant une seconde liste de cellules associée à la première liste de cellules, et mesure la qualité d'au moins une première cellule appartenant à la première liste de cellules De plus, le terminal prédit des informations de qualité d'au moins une seconde cellule appartenant à la seconde liste de cellules, les informations de qualité de la ou des secondes cellules étant prédites à l'aide d'un modèle IA/ML sur la base de la qualité mesurée de la ou des premières cellules.
PCT/KR2024/019813 2023-12-19 2024-12-05 Procédé et appareil de mesure de qualité de cellule sur la base d'intelligence artificielle et/ou d'apprentissage automatique Pending WO2025135630A1 (fr)

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KR1020240177187A KR20250095518A (ko) 2023-12-19 2024-12-03 인공지능 및/또는 머신러닝 기반 셀 품질을 측정하는 방법 및 장치
KR10-2024-0177187 2024-12-03

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