WO2024253486A1 - Procédé et appareil de mesure de faisceau et de rapport de résultat pour une inférence de modèle d'intelligence artificielle et/ou d'apprentissage automatique - Google Patents

Procédé et appareil de mesure de faisceau et de rapport de résultat pour une inférence de modèle d'intelligence artificielle et/ou d'apprentissage automatique Download PDF

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Publication number
WO2024253486A1
WO2024253486A1 PCT/KR2024/007876 KR2024007876W WO2024253486A1 WO 2024253486 A1 WO2024253486 A1 WO 2024253486A1 KR 2024007876 W KR2024007876 W KR 2024007876W WO 2024253486 A1 WO2024253486 A1 WO 2024253486A1
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Prior art keywords
csi
information
beams
inference
resource
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English (en)
Korean (ko)
Inventor
이은종
박규진
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KT Corp
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KT Corp
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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
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/373—Predicting channel quality or other radio frequency [RF] parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • 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

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 for instructing a terminal performing beam management using AI/ML in a wireless communication system, the association of a beam to be used as an input value (Set B) of an AI/ML model and a beam to be used as an output value (Set A), and for allowing a terminal receiving the corresponding setting to perform beam measurement and result reporting.
  • a terminal receives information on a CSI (channel state information)-RS (reference signal) resource set and information related to the number of inference beams from a base station. Thereafter, the terminal measures at least one CSI-RS corresponding to the CSI-RS resource set. Then, the terminal transmits a report of an inference result based on the measurement of at least one CSI-RS to the base station, wherein the report of the inference result provides a method using a CSI-RS resource indicator (CRI) based on information related to the number of inference beams.
  • CRI CSI-RS resource indicator
  • one embodiment of the present specification provides a wireless communication system in which a base station transmits information on a CSI (channel state information)-RS (reference signal) resource set and information related to the number of inference beams to a terminal. Then, the base station transmits at least one CSI-RS corresponding to the CSI-RS resource set to the terminal. Thereafter, the base station receives a report of an inference result based on measurement of at least one CSI-RS from the terminal, and the report of the inference result provides a method using a CSI-RS resource indicator (CRI) based on information related to the number of inference beams.
  • CSI channel state information
  • CRI CSI-RS resource indicator
  • 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 connected to the at least one processor, wherein the operations performed based on the instructions being executed by the at least one processor include: receiving information on a channel state information (CSI)-reference signal (RS) resource set and information related to the number of inference beams from a base station. Thereafter, measuring at least one CSI-RS corresponding to the CSI-RS resource set. And transmitting a report of an inference result based on the measurement of at least one CSI-RS to the base station, wherein the report of the inference result uses a CSI-RS resource indicator (CRI) based on the information related to the number of inference beams.
  • CSI channel state information
  • RS channel state information
  • CRI CSI-RS resource indicator
  • 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 connected to the at least one processor, wherein the operations performed based on the instructions being executed by the at least one processor are: transmitting information of a channel state information (CSI)-reference signal (RS) resource set and information related to the number of inference beams to a terminal; and transmitting at least one CSI-RS corresponding to the CSI-RS resource set to the terminal.
  • CSI channel state information
  • RS reference signal
  • the report of the inference result provides a base station using a CSI-RS resource indicator (CRI) based on the information related to the number of inference beams.
  • CRI CSI-RS resource indicator
  • the above inference beam number related information may be at least one of input output ratio (InputOutputRatio, InputOutputRatio) information and total number of beams (TotalNrofBeams) information.
  • the base station transmits beam offset (beamOffset) information to the terminal, and the terminal can receive it, and the CSI-RS resource identifier can be further based on the beam offset information.
  • beamOffset beam offset
  • the terminal may receive at least one of group number of beams (GroupNrofBeam) information and beam index hopping size information from the base station, and the CSI-RS resource identifier may further be based on at least one of the group number of beams information and the beam index hopping size information.
  • GroupNrofBeam group number of beams
  • the report of the above inference result may include information on K highest intensities among the intensities predicted through inference based on the measurement of at least one CSI-RS, where K is a natural number greater than or equal to 1.
  • the CSI-RS resource set may be a non-zero power (NZP) CSI-RS resource set.
  • NZP non-zero power
  • the network/terminal when a beam management technique using AI/ML is performed, transmits (or sweeps) only a small number of beams and performs a measurement operation, thereby reducing the CSI-RS overhead that must be allocated on the system, minimizing the beam measurement burden of the terminal, thereby improving the overall system performance.
  • the terminal there is an effect of enabling the terminal to recognize the beam to be used for beam indication by enabling the calculation of CSI-RS (resource) indicator information for unmeasured beams.
  • 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 shows an example of initial beam measurement and selection in NR.
  • Figure 8 shows an example of an initial connection procedure between a terminal and a base station in NR.
  • Figure 9 shows an example of candidate beam settings in NR.
  • Figures 10a to 10c illustrate three procedures for beam management in NR.
  • Figures 11a to 11c illustrate examples of beam reporting procedures in NR.
  • Figures 12a and 12b show examples of beam measurement and spatial domain beam prediction using AI/ML.
  • Figure 13 shows an example of temporal domain beam prediction using AI/ML.
  • Figure 14 shows an operation method of a terminal according to one embodiment of the present specification.
  • FIG. 15 is an example showing the derivation of beam correlation between Set A and Set B according to one embodiment of the present specification.
  • FIG. 16 is an example showing derivation of beam correlation between Set A and Set B according to another embodiment of the present specification.
  • FIG. 17 is an example showing derivation of beam correlation between Set A and Set B according to another embodiment of the present specification.
  • Figure 18 shows a procedure of a terminal and a base station according to one embodiment of the present specification.
  • Figure 19 illustrates a procedure of a terminal and a base station according to another embodiment of the present specification.
  • Fig. 20 illustrates an operation method of a terminal according to another embodiment of the present specification.
  • Figure 21 illustrates an operation method of a base station according to one embodiment of the present specification.
  • FIG. 22 illustrates a device according to one embodiment of the present specification.
  • Figure 23 is a block diagram showing the configuration of a terminal according to one embodiment of the present specification.
  • FIG. 24 shows a block diagram of a processor in which the disclosure of this specification is implemented.
  • FIG. 25 is a block diagram showing in detail the transceiver of the first device illustrated in FIG. 22 or the transceiver unit of the device illustrated in FIG. 23.
  • 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 a higher layer, and downlink physical signals corresponding to resource elements used by the physical layer but not carrying information originating from a higher layer.
  • 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, means a signal of a special waveform defined in advance that the gNB and the UE know each other, for example, a cell specific RS, a UE-specific RS (UE-RS), a positioning RS (PRS), and a channel state information RS (CSI-RS) are defined as downlink reference signals.
  • RS reference signal
  • 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.
  • PUSCH physical uplink shared channel
  • PUCCH physical uplink control channel
  • PRACH physical random access channel
  • DMRS demodulation reference signal
  • SRS sounding reference signal
  • 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.
  • Downlink or uplink transmission is performed through an activated BWP, and only one BWP among the BWPs configured for the terminal can be activated at a given time.
  • each element is referred to as a resource element (RE), to which one complex symbol can be mapped.
  • 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.
  • the current beam management method of 3GPP NR can be divided into the initial access phase and the cell connection establishment phase.
  • a terminal performing the initial access procedure establishes its initial transmit/receive (Tx/Rx) beam through a random access procedure, i.e., a RACH (random access channel) procedure.
  • Tx/Rx transmit/receive
  • RACH random access channel
  • Figure 7 shows an example of initial beam measurement and selection in NR.
  • the base station in order to provide base station transmission beam (gNB Tx beam) setting to terminals (UE1/UE2) without cell connection, the base station repeatedly transmits SSBs (synchronization signal blocks) to which beams in different directions are mapped periodically. And, SSBs can be transmitted at 20ms cycles within 5ms. Specifically, the default value for initial cell selection can be 20ms.
  • a terminal can select a qualified SSB through signal measurement for periodically transmitted SSBs and transmit a PRACH (physical random access channel) preamble mapped to the selected SSB, thereby informing the base station of information about the selected Tx beam.
  • PRACH physical random access channel
  • terminals at different locations i.e., UE1, can select an SSB having an SSB index of 3 and UE2, can select an SSB having an SSB index of 9, and then UE1 and UE2 can each transmit a corresponding PRACH preamble for the selected SSB.
  • UE1 and UE2 can each transmit a corresponding PRACH preamble for the selected SSB.
  • each SSB is beamformed in a specific direction.
  • Figure 8 shows an example of an initial connection procedure between a terminal and a base station in NR.
  • the UE receives cell-related parameter information (e.g., PRACH information corresponding to each SSB) required in the initial access stage through a system information message transmitted by a base station (gNB) (S802).
  • the system information message includes a master information block (MIB) and a system information block 1 (SIB1) including cell common information.
  • MIB master information block
  • SIB1 system information block 1
  • the terminal After the terminal acquires the system information message, it receives SSBs periodically transmitted from the base station (S803). Then, the terminal measures RSRP (reference signal received power) for the received SSBs. Among the N SSBs, i.e., beams, it selects one SSB (beam) with the highest/qualified value (value).
  • RSRP reference signal received power
  • the terminal transmits an RA (random access) preamble belonging to the PRACH resource corresponding to the selected SSB (beam) to the base station (S805). Through this, the terminal can inform the base station of the selected initial beam information.
  • RA random access
  • the base station receives an RA (random access) preamble belonging to a PRACH resource corresponding to an SSB (beam) selected from a terminal, and in response transmits an RAR (random access response) to the terminal using the selected SSB (beam) (S806).
  • RA random access
  • RAR random access response
  • a base station that does not know the location/beam information of a terminal that first enters a cell i.e., a terminal performing the CBRA (contention based random access) procedure
  • a terminal performing the CBRA (contention based random access) procedure can set up to 64 beams in common (cell commonly) for the beam setting of a terminal that has no connection, and the terminal sequentially measures all beams to find the optimal beam at its location. This not only causes a time delay in beam selection and cell connection as the number of beams in the cell increases, but can also increase the power consumption of the terminal by requiring the terminal to measure a large number of beams.
  • the base station can identify the approximate location/beam of the initially connected terminal by mapping a wide beam for SSB, and can set a narrow beam through a beam refinement operation after the terminal accesses the cell.
  • the narrow beam provides a high data rate to the terminal
  • the base station allocates a CSI resource (CSI-RS/SSB) to which a candidate beam is mapped to the terminal in a UE-specific manner, so that the terminal continuously measures the surrounding beam strength and reports the measurement result to the base station.
  • CSI-RS/SSB CSI resource
  • Figure 9 shows an example of candidate beam settings in NR.
  • a terminal that has received a beam report performs a report based on the configuration of the base station by measuring the reference signal (RS) allocated to it.
  • RS reference signal
  • this UE-specific CSI configuration method has a problem in that as the number of terminals in a cell increases, the RS resources allocated to each terminal also rapidly increase.
  • the base station can select a method of allocating the same candidate beam, i.e., CSI resources, to terminals in similar locations, as shown in Fig. 9. This can be called UE group-specific CSI resource configuration.
  • CSI resources i.e., CSI resources
  • the base station can operate candidate beams by appropriately increasing the number of beams belonging to the CSI resource set.
  • the increased number of beams increases the burden on measurement.
  • Figures 10a to 10c illustrate three procedures for beam management in NR.
  • Beam management in NR can be defined by dividing into three procedures in terms of procedures defined in the physical layer.
  • Fig. 10a shows Procedure 1 (P1)
  • Fig. 10b shows Procedure 2 (P2)
  • Fig. 10c shows Procedure 3 (P3), respectively.
  • P1 is an operation to find a transmission reception point (TRP) beam sweeping and UE beam sweeping simultaneously while performing beam setting of a terminal performing the initial access procedure described above.
  • a terminal entering the connected mode recognizes that beams set by the base station through candidate beam (i.e., CSI resource set) setting will be swept, and first performs signal strength measurement for the TRP beam.
  • the base station When the TRP beam of the terminal is selected through P2, the base station repeatedly transmits the selected one beam through P3.
  • the terminal can select a UE beam while performing UE beam sweeping. It is up to the terminal implementation which beam the UE selects in this operation.
  • the above-described operation can be applied to both downlink (DL) and uplink (UL).
  • Figures 11a to 11c illustrate examples of beam reporting procedures in NR.
  • Beam sweeping uses a method in which the base station notifies the terminal of reference signal (RS) resource information by setting a specific candidate beam, i.e., a CSI resource set, so that information about the beam is implicitly notified by mapping it with the RS resource information. That is, rather than notifying the terminal of the actual beam index, the base station recognizes the information about the mapped beam through the index information implicitly mapped to the RS information using the RS resource indicator (RI). This is set using the 3GPP CSI framework, and the terminal implicitly reports RSRP information about the best four beams (RI) to the base station by measuring the RS strength for the resources set by the base station.
  • the method for reporting the measurement results also depends on the RRC setting of the base station, and 3GPP defines it to be set in one of the following three ways.
  • FIG. 11a shows a periodic CSI reporting method, which is triggered through RRC configuration. That is, the terminal receives an RRC configuration message from the base station, and the RRC configuration message includes settings for CSI-related RS resources and reporting methods, i.e., CSI resource set information, and information that CSI reporting is periodic (S1101a). Thereafter, the terminal receives RSs periodically transmitted based on the received RRC configuration message (S1102a and S1105a), and measures signal strength for a beam based on the received RSs (S1103a and S1106a). Then, the terminal periodically reports the measured result (value) to the base station (S1104a and S1107a).
  • the terminal receives an RRC configuration message from the base station, and the RRC configuration message includes settings for CSI-related RS resources and reporting methods, i.e., CSI resource set information, and information that CSI reporting is periodic (S1101a). Thereafter, the terminal receives RSs periodically transmitted based on the received RRC configuration
  • FIG. 11b shows an aperiodic CSI reporting method. Even if CSI-related RS resources and a reporting method are configured through an RRC configuration message, beam measurement through RS is not performed without a trigger message (or information) from a lower layer. That is, the terminal receives an RRC configuration message including configuration of CSI-related RS resources and a reporting method, that is, CSI resource set information and information that CSI reporting is aperiodic, from the base station (S1101b), and the CSI report trigger is performed through a medium access control (MAC) control element (CE) or downlink control information (DCI).
  • MAC medium access control
  • CE control element
  • DCI downlink control information
  • the terminal receives CSI report trigger information including a trigger indication from the base station through the MAC CE or DCI (S1102b), and receives RSs transmitted once based on the received trigger indication (S1103b).
  • the transmission of RSs for the CSI resource set can be transmitted after a specific time (e.g., X slots) at which the CSI report trigger information is transmitted.
  • the terminal measures the signal strength for the beam based on the received RSs (S1104b).
  • the terminal reports the measured result (value) to the base station once (S1105b).
  • the CSI report can be transmitted after a specific time (e.g., Y slots) at which the CSI report trigger information is received.
  • Fig. 11c shows a semi-persistent reporting method, which is an intermediate method between the periodic reporting method and the aperiodic reporting method.
  • the terminal Upon receiving a configuration for CSI-related RS resources and a reporting method through an RRC configuration message, the terminal performs CSI reporting periodically until it receives a deactivation message (or information) only when activated by MAC CE. That is, the terminal receives an RRC configuration message including a configuration for CSI-related RS resources and a reporting method, that is, CSI resource set information and information that CSI reporting is semi-persistent, from the base station (S1101c), and CSI report activation is performed through MAC CE.
  • a terminal receives CSI report activation information including an activation indication from a base station via MAC CE (S1102c and S1110c), receives RSs periodically transmitted based on the received activation indication (S1103c, S1106c, S1111c and S1114c), and measures signal strength for a beam based on the received RSs (S1104c, S1107c, S1112c and S1115c). Then, the terminal periodically reports the measured result (value) to the base station (S1105c, S1108c, S1113c and S1116c). After CSI reporting is activated, if CSI report deactivation information including a deactivation indication is received from the base station via MAC CE (S1109c), the terminal stops CSI reporting.
  • Table 5 below shows the CSI resource configuration (CSI-ResourceConfig) defined in 3GPP standard TS 38.331.
  • CSI-ResourceConfig SEQUENCE ⁇ csi-ResourceConfigId CSI-ResourceConfigId, csi-RS-ResourceSetList CHOICE ⁇ nzp-CSI-RS-SSB SEQUENCE ⁇ nzp-CSI-RS-ResourceSetList SEQUENCE (SIZE (1..maxNrofNZP-CSI-RS-ResourceSetsPerConfig)) OF NZP-CSI-RS-ResourceSetId OPTIONAL, -- Need R csi-SSB-ResourceSetList SEQUENCE (SIZE (1..maxNrofCSI-SSB-ResourceSetsPerConfig)) OF CSI-SSB-ResourceSetId OPTIONAL -- Need R ⁇ , csi-IM-ResourceSetList SEQUENCE (SIZE (1..maxNrofCSI-IM-ResourceSetsPerConfig)) OF
  • the CSI-RS resource set is configured according to the Number of reported resource groups per CSI report (nrofReportedGroups-r17: Number of reported resource groups per CSI-report) in the CSI reporting configuration (CSI-ReportConfing) defined in 3GPP standard TS 38.331. If the resource type is periodic or semi-persistent, only one or two CSI-RS resource sets can be configured using one CSI-RS resource configuration as shown in Table 5. This is for group-based beam reporting for two resource sets. Recently, 3GPP is considering applying AI/ML models to improve the delay and terminal power consumption of such beam search/measurement, and has started a study to discuss the feasibility and potential spec impact for this.
  • Terminology Description Data collection The process of collecting data by network nodes, management entities, or UEs for the purpose of AI/ML model training, data analysis, and inference.
  • AI/ML Model Data-driven algorithms that apply AI/ML techniques to generate output sets based on input sets.
  • AI/ML model training The process of training an AI/ML model [by learning input/output relationships] in a data-driven manner and obtaining a trained AI/ML model for inference.
  • AI/ML model inference The process of using a trained AI/ML model to generate a set of outputs based on a set of inputs.
  • AI/ML model validation A sub-process of training that evaluates the quality of an AI/ML model using a different dataset than the one used to train the model, helping to select model parameters that generalize beyond the dataset used to train the model.
  • AI/ML model testing A sub-process of training to evaluate the performance of the final AI/ML model using a different dataset than that used for model training and validation. Unlike AI/ML model validation, testing does not assume any subsequent tuning of the model. (A subprocess of training, to evaluate the performance of a final AI/ML model using a dataset different from one used for model training and validation.
  • AI/ML model AI/ML models where inference is performed entirely on the UE
  • AI/ML model AI/ML models where inference is performed entirely on the network
  • AI/ML models where inference is performed entirely on the network
  • One-sided (AI/ML) model UE-side (AI/ML) model or network-side (AI/ML) model A UE-side (AI/ML) model or a Network-side (AI/ML) model
  • Two-sided (AI/ML) model A pair of AI/ML model(s) on which joint inference is performed.
  • Joint inference is AI/ML inference where inference is performed jointly by the UE and the network, i.e., the first part of the inference is performed by the UE first and the remaining part by the gNB, or vice versa.
  • Model download Transferring models from network to UE Model transfer from the network to UE
  • Model upload Transferring models from UE to network Model transfer from UE to the network
  • Federated learning / federated training A machine learning technique that trains AI/ML models on multiple distributed edge nodes (e.g., UEs, gNBs), each performing local model training using local data samples. This technique requires multiple interactions of the model, but does not require the exchange of local data samples.
  • a machine learning technique that trains an AI/ML model across multiple decentralized edge nodes (eg, UEs, gNBs) each performing local model training using local data samples. The technique requires multiple interactions of the model, but no exchange of local data samples.
  • Offline field data Data collected in the field and used for offline training of AI/ML models The data collected from field and used for offline training of the AI/ML model
  • Online field data Data collected in the field and used for online training of AI/ML models The data collected from field and used for online training of the AI/ML model
  • Model monitoring Procedure for monitoring the inference performance of AI/ML models A procedure that monitors the inference performance of the AI/ML model
  • Supervised learning The process of training a model from inputs and their labels.
  • Unsupervised learning The process of training a model without labeled data.
  • Semi-supervised learning The process of training a model using a mixture of labeled and unlabeled data.
  • Reinforcement Learning (RL)Reinforcement Learning (RL) The process of training an AI/ML model from feedback signals (reward) based on inputs (states) and outputs (actions) of the model in an environment where the model interacts.
  • 3GPP decided to study the specification impact of "Indication of the associated Set A from network to UE” in relation to UE-side AI/ML models for BM-Case1 (spatial beam prediction) and BM-Case2 (temporal beam prediction) in relation to beam management procedures.
  • the beam management operation in the conventional NR causes the problem of increasing the system overhead and the power consumption of the terminal as the number of beams and the number of terminals increase.
  • an AI/ML model that predicts the entire beam intensity through some beam measurements, but the detailed procedure or method for this has not yet been defined.
  • Figures 12a and 12b show examples of beam measurement and spatial domain beam prediction using AI/ML.
  • FIGS. 12a and 12b The case of spatial DL beam prediction is illustrated in FIGS. 12a and 12b.
  • FIG. 12a shows a case where Set B is a subset of Set A
  • FIG. 12b considers a set where Set B consists of wide beams and Set A consists of narrow beams, that is, sets composed of different beams.
  • temporal DL beam prediction in addition to the cases where i) set B is a subset of set A, ii) sets A and B are different sets, we consider the case where iii) sets A and B consist of the same set.
  • Temporal DL beam prediction predicts future beam information based on past beam measurement information, so we may consider a method where spatial DL beam prediction is used as the basis for predicting the entire beam and then applying it to the case iii) where sets A and B consist of the same set. For this reason, it is expected that the cases where i) set B is a subset of set A, and ii) sets A and B are different sets, for spatial DL beam prediction, will be used as the basic beam prediction method.
  • Figure 13 shows an example of temporal domain beam prediction using AI/ML.
  • Temporal beam prediction of BM-Case2 is defined as an operation of predicting a beam result (i.e., output) at a specific point in the near future based on past beam measurement result information (i.e., input), as illustrated in Fig. 13.
  • the set of beams to be used as input and the set of beams derived as output can consider, in addition to the cases described above: i) when set B is a subset of set A, ii) when sets A and B are different sets, and iii) when sets A and B are composed of the same set.
  • the terminal measures the beam intensity using the CSI-RS resource for the beam set by the base station, and reports up to four "CRI (CSI-RS resource indicator)/SSBID+RSRP" for the beam(s) with the highest RSRP (reference signal received power) to the base station.
  • CRI CSI-RS resource indicator
  • SSBID+RSRP reference signal received power
  • the terminal must measure the beam (set B) to be used as the input value, and also know the information of the beam belonging to set A for beam inference.
  • the terminal measures the signal strength of all transmitted CSI-RSs. If the base station configures the terminal with a CSI-RS resource set consisting of beams for set B, there is no way to know the information about set A using the current beam management technique of NR.
  • the terminal is configured with a CSI-RS resource set consisting of CSI-RS resources for set B, but the terminal has no way to determine whether to transmit only up to four "CRI/SSBID+RSRP"s with the highest RSRP as in the past or to transmit the results for set B (e.g., all or part (more than four)) used for inference on the NW side.
  • the present invention proposes an efficient beam setting and reporting method for effective model inference when performing beam management using an AI/ML model based on the aforementioned contents.
  • the present invention proposes to define a CSI-RS resource set consisting of reference signals for actual transmission (i.e., beams that the terminal should measure for model inference, Set B) in the CSI resource configuration so as to enable efficient performance of AI/ML model inference for beam management in terminals and base stations, and parameters (e.g., InputOuput-Ratio or TotalNrofBeams) that can derive a CSI-RS identifier (i.e., beam indicator) for a virtual reference signal (i.e., beams that the terminal can predict through model inference, Set A) that can be inferred from a beam belonging to the corresponding CSI-RS resource set.
  • a beam measurement and reporting procedure method of a terminal that receives a CSI-RS resource set configured together with the parameters that can derive a CSI-RS identifier.
  • Figure 14 shows an operation method of a terminal according to one embodiment of the present specification.
  • the terminal receives a CSI-RS resource configuration including a CSI (channel state information)-RS (reference signal) resource set and parameters (InputOutput-Ratio / TotalNrofBeams) associated with the CSI-RS resource set from the base station (S1401).
  • the CSI-RS resource set is a NZP (non-zero power) resource set.
  • CSI-RS(s) transmitted to the CSI-RS resource set are measured (S1402). Then, a CSI-RS resource indicator for the measured CSI-RS(s) is mapped/derived using the received parameter (InputOutput-Ratio / TotalNrofBeams) (S1403).
  • the beam ratio proposed in this specification can be applied when the output value increases by a specific multiple (e.g., 2 times, 3 times, etc.) of the input value, and it is assumed that the beams set in the CSI-RS resource set are extracted one by one from the entire beams according to a certain ratio/angle.
  • the ratio of the number of input/output beams associated with the CSI-RS resource set proposed in this specification can be used by the terminal to derive/calculate the beam pattern for the entire Set A using the following two methods.
  • It is defined as a value representing the ratio of the number of beams to be used as input values of the model for beam management (the number of CSI-RS resources in the CSI-RS resource set, e.g., maxNrofNZP-CSI-RS-Resources) to the number of beams to be used as output values.
  • the parameter can be set to an integer value from 1 to n. If the value is 1, it means that the number of beams of the input and output are the same. If the value is 2, it means that the number of output beams is twice as many as the number of input beams. For example, if the value is 2, it means that if the input consists of 4 beams, the output consists of 8 beams.
  • the terminal can calculate the mapping relationship for the CSI-RS resource identifier (CSI-RS resource ID) between Set A and Set B as follows using the configured input-output-ratio.
  • CSI-RS resource ID in Set A CSI-RS resource ID in Set B * inputOutput-Ratio
  • the number of one or more beams that can be inferred for one beam belonging to Set B can be indicated by the parameter. That is, in the case of Fig. 12b, the value of the parameter can be set to 4. For example, beams 0, 1, 2, and 3 of Set A can be inferred for beam 13 of Set B.
  • the parameter can be set to an integer value from 1 to m, where the value must be greater than or equal to the maximum number of CSI-RS resources belonging to the associated CSI-RS resource set (i.e., maxNrofNZP-CSI-RS-Resources).
  • Method 2 is that the terminal can derive the CSI-RS resource identifier (CSI-RS resource ID) for Set A in the same way as Method 1 after calculating the ratio through "totalNrofBeam/maxNrofNZP-CSI-RS-Resources".
  • CSI-RS resource ID in Set A CSI-RS resource ID in Set B * (totalNrofBeam/ maxNrofNZP-CSI-RS-Resources)"
  • FIG. 15 is an example showing the derivation of beam correlation between Set A and Set B according to one embodiment of the present specification.
  • the CSI-RS resource set for the terminal is composed of beams (Set B) through which the base station actually transmits reference signals. That is, the terminal measures the signal strength of the CSI-RS(s) included in the CSI-RS resource set based on the setting received from the base station. If the measured CSI-RS resource set includes an inputOutput-Ratio (or, totalNrofBeam), the terminal converts/calculates a CSI-RS identifier for a beam measured by the corresponding CSI-RS resource set into a new CSI-RS identifier using the received inputOutput-Ratio (or, totalNrofBeam). The converted indicator (ID) is used as a model input value.
  • Fig. 15 is an example showing the derivation of beams belonging to Set A using the input-output-ratio value proposed in this specification, and the right side of Fig. 15 is an example showing the derivation of beams belonging to Set A using the total number of beams (totalNrofBeam).
  • FIG. 16 is an example showing derivation of beam correlation between Set A and Set B according to another embodiment of the present specification.
  • a beam offset (beamOffset) parameter as a means to define a start position of a first beam for Set B among the beams of the entire Set A when Set B is a subset of Set A.
  • the proposed beam offset (beamOffset) parameter has a size equal to the maximum value of the inputOutput-Ratio. That is, if the inputOutput-Ratio (inputOutput-Ratio) is 4, the beam offset (beamOffset) can be set to one of 0, 1, 2, and 3.
  • the terminal can convert the signal strength of the CSI-RS(s) for the received CSI-RS resource set into a CSI-RS indicator for Set A using the following equation.
  • CSI-RS resource ID in Set A (CSI-RS resource ID in Set B * inputOutput-Ratio) + beamOffset"
  • Figure 16 is an example showing the derivation of a beam pattern for Set A when the beamOffset parameter is applied.
  • FIG. 17 is an example showing derivation of beam correlation between Set A and Set B according to another embodiment of the present specification.
  • the beams composing Set B can be set to form a distributed pattern based on a specific beam group consisting of one or more consecutive beams, as illustrated in FIG. 17, in order to increase the accuracy of deriving Set A.
  • a group number of beams (GroupNrofBeam) parameter to set the number of consecutive beams belonging to a group.
  • the value of the parameter (GroupNrofBeam) is an integer value greater than or equal to 1 and less than or equal to N, and if the number of group beams (GroupNrofBeam) is 2, as illustrated in FIG.
  • Set B measured by the terminal means that two consecutive beams are transmitted in a specific pattern, and the proposed ratio (1:2) is applied based on the number of beams belonging to the group (for example, 2) to derive the pattern of the entire Set A.
  • a new RRC message that defines pattern information for the transmitted beam can also be defined to be set to the terminal. That is, a new IE such as a Tx beam pattern configuration IE is defined, and one or more pattern information that can be set to the terminal are defined, and a CSI-RS resource set ID corresponding to each pattern is mapped.
  • a new IE such as a Tx beam pattern configuration IE is defined, and one or more pattern information that can be set to the terminal are defined, and a CSI-RS resource set ID corresponding to each pattern is mapped.
  • association between CSI-RS resources for Set B and their beam patterns can be defined by including a CSI-RS resource set ID in the beam pattern configuration IE, or by assigning a pattern ID to one or more configurable beam pattern information and then mapping a corresponding beam pattern ID to the CSI-RS resource set ID in the CSI-RS resource configuration or CSI-MeasConfig. If the previously proposed parameters are interpreted identically in terms of the meaning for deriving beam patterns, it is obvious that the parameters can be considered as the same method even if they are transmitted through various channels (RRC (radio resource control) / MAC (medium access control) / PHY (physical)).
  • RRC radio resource control
  • MAC medium access control
  • PHY physical
  • the base station transmits some beams (beams belonging to the Set B above) among the entire transmission beams (beams belonging to the Set A above) through CSI-RS resources or SSB resources.
  • the base station or terminal derives an optimal beam based on Set A based on the RSRP measurement results of the terminal for some beams belonging to Set B where actual transmission was performed by the base station.
  • the base station can transmit beam pattern configuration information constituting Set B selected from beams belonging to the Set A (or, conversely, configuration information capable of deriving beams corresponding to Set A from the beams of Set B) to the terminal. That is, the beam pattern configuration information actually transmitted by the base station through CSI-RS resources or SSB resources, that is, the beam configuration information constituting Set B (for example, Tx beam pattern configuration or Set B configuration information) can be transmitted to the terminal.
  • the beam pattern configuration information constituting Set B for example, Tx beam pattern configuration or Set B configuration information
  • the transmission beam pattern configuration (Tx beam pattern configuration) information can be included in existing RRC messages/information such as CSI-resource config message/information, CSI-measConfig message/information, and CSI-reportconfig message/information and transmitted to the terminal, or a new RRC message/information (for example, Tx beam pattern config message/information) can be defined for this and transmitted to the terminal through this.
  • the transmission beam pattern configuration information for configuring Set B may include the following information areas.
  • Beam distribution type for Set B information Information on setting the beam distribution type for configuring Set B.
  • two types of beam group-wise distributed type and individual-beam-wise distributed type are defined as a method for configuring the beams of Set B from the beams of Set A, this is an information area for setting them.
  • only a single beam distribution type i.e., only group beam wise distributed type or only individual beam wise distributed type, can be supported, and in this case, the corresponding information can be omitted.
  • Set A-Set B association (or mapping) configuration information Information for establishing the relationship between the beams of Set A and Set B, which can be composed of the information below (or part of it).
  • TotalNrofBeam Information on setting the total number of beams that make up Set A.
  • Input output ratio (input output-ratio, inputOutput-Ratio) information Information on setting the ratio between the total number of beams that make up Set A and the number of beams that make up Set B.
  • Offset information Offset value of the first beam index that constitutes Set B (based on the beam index of Set A, offset information of the first beam of Set B)
  • Group number of beams (GroupNrofBeam) information: When supporting beam-group-wise distributed type, the number of beams that make up one beam group or the number of beam groups that make up Set B.
  • Beam index hopping size information Information on setting the beam index interval between beam groups or individual beams.
  • Associated CSI-resource configuration information Association information with CSI-resource configuration information for transmission of beams of Set B. Depending on how to define the RRC message (or information) for transmission of Tx beam pattern configuration information, it may consist of the following information (or part of it).
  • CSI-resource config association information This is configuration information for CSI resources on which transmission is made for beams corresponding to Set B, and may include a CSI-resource config ID, a NZP-CSI-RS resource set ID, and/or a CSI-SSB resource set ID.
  • the corresponding information field may be included.
  • Tx beam pattern ID information Identification/index information for the Tx beam pattern setting for Set B configuration. If the corresponding Tx beam pattern setting information for Set B configuration is transmitted through existing RRC messages/information (e.g., CSI-resourceconfig, CSI-measconfig, CSI-reporte config, NZP-CSI-RS-resourcesetconfig, etc.), the corresponding information field may be included.
  • RRC messages/information e.g., CSI-resourceconfig, CSI-measconfig, CSI-reporte config, NZP-CSI-RS-resourcesetconfig, etc.
  • the combination of information elements (IEs) composing the aforementioned transmission beam pattern configuration information may vary depending on the specific signaling method for transmitting beam pattern configuration information (e.g., whether a new RRC message/information is defined) or the specific beam pattern configuration methods.
  • a terminal that measures the signal intensity of a beam belonging to Set B based on the CSI-RS resource set information received according to the method proposed in this specification can perform different reporting methods depending on the location of the model inference node.
  • the terminal uses the signal intensity result of the measured beam based on the received CSI-RS resource set as the input value of the model using the method described above. If Set A and Set B are configured with the same or different beams, the terminal can use the CSI-RS resource identifier (CSI-RS resource ID) of Set B as the model input value as it is, and the corresponding parameter can be used to infer the beam of Set A.
  • CSI-RS resource ID CSI-RS resource ID
  • the terminal If Set B is a subset of Set A, the terminal newly maps the RSRP for the measured CSI-RS resource identifier (CSI-RS resource ID) of Set B to the CSI-RS resource identifier (CSI-RS resource ID) of Set A based on the method described above, and uses the mapped RSRP as the model input value.
  • CSI-RS resource ID measured CSI-RS resource identifier
  • CSI-RS resource ID the CSI-RS resource ID
  • the terminal should report all or part of the measurement results for Set B measured based on the received CSI-RS resource set to the base station.
  • the terminal recognizes that it should report all or part (for example, 4 or more) of the measurement results for Set B to the base station, and reports the measured result values for Set B to the base station according to the configuration of the base station.
  • the RSRP for the measured Set B can be newly mapped to an ID mapped to Set A, and then reported based on "CRI + RSRP mapped to Set A".
  • Figure 18 shows a procedure of a terminal and a base station according to one embodiment of the present specification.
  • Figure 18 shows the procedure of a terminal and a base station when the terminal performs model inference.
  • the terminal receives a CSI resource configuration message from the base station (S1801).
  • the CSI resource configuration message may include the following information.
  • Configuration information for actual reference signal transmission may include information on four NZP CSI-RS resources with IDs of 0 to 3 and inputOutput-Ratio and beamOffset information for the set (in FIG. 18, inputOutput-Ratio is 3, beamOffset is 1).
  • Set B is configured as a subset of Set A.
  • the terminal periodically measures the signal strength for beams transmitted to CSI-RS resources belonging to the CSI-RS resource set by receiving a CSI resource configuration message (S1802, S1806).
  • CSI resource configuration message S1802, S1806
  • RSRPs are measured for beams with CRI #0, 1, 2, and 3, and the measured RSRPs are acquired.
  • the terminal remaps/converts the signal strength (i.e., RSRPs) for CSI-RSs of the measured CSI-RS resource set using the following equation (S1803).
  • CSI-RS resource ID (CSI-RS resource ID * inputOutput-Ratio) + beamOffset
  • Model inputs measured RSRPs for CRI #1, 4, 7, 10
  • the terminal derives (infers) 12 predicted RSRPs for CRI #0 ⁇ 11 by the AI/ML model as output values (S1804). After that, the terminal selects the top-K beam(s) among the 12 predicted beams and reports them to the base station (S1805).
  • the base station transmits a CSI resource configuration message to the terminal (S1801).
  • the CSI resource configuration message may include the following information.
  • Configuration information for actual reference signal transmission may include information on four NZP CSI-RS resources with IDs of 0 to 3 and inputOutput-Ratio and beamOffset information for the set (in FIG. 18, inputOutput-Ratio is 3, beamOffset is 1).
  • Set B is configured as a subset of Set A.
  • the base station periodically transmits CSI-RSs configured in the CSI-RS resource set based on the CSI resource configuration message (S1802, S1806). This corresponds to CRI #0, 1, 2, and 3.
  • the base station receives a report on the top-K beam(s) derived by model inference from the terminal (S1805).
  • Figure 19 illustrates a procedure of a terminal and a base station according to another embodiment of the present specification.
  • Figure 19 shows the procedures of a terminal and a base station when the base station performs model inference.
  • the terminal receives a CSI resource configuration message from the base station (S1901).
  • the CSI resource configuration message may include the following information.
  • Configuration information for actual reference signal transmission may include information on four NZP CSI-RS resources with IDs of 0 to 3 and inputOutput-Ratio and beamOffset information for the set (in FIG. 19, the case where inputOutput-Ratio is 3 and beamOffset is 1 is shown).
  • Set B is configured as a subset of Set A.
  • the terminal periodically measures the signal strength for beams transmitted to CSI-RS resources belonging to the CSI-RS resource set by receiving a CSI resource configuration message (S1902, S1908). As shown in Fig. 19, RSRPs are measured for beams with CRI #0, 1, 2, and 3, and the measured RSRPs are acquired.
  • the terminal remaps/converts the signal strength (i.e., RSRPs) for CSI-RSs of the measured CSI-RS resource set using the following equation (S1903).
  • CSI-RS resource ID (CSI-RS resource ID * inputOutput-Ratio) + beamOffset
  • the base station transmits a CSI resource configuration message to the terminal (S1901).
  • the CSI resource configuration message may include the following information.
  • Configuration information for actual reference signal transmission may include information on four NZP CSI-RS resources with IDs of 0 to 3 and inputOutput-Ratio and beamOffset information for the set (in FIG. 19, the case where inputOutput-Ratio is 3 and beamOffset is 1 is shown).
  • Set B is configured as a subset of Set A.
  • the base station periodically transmits CSI-RSs configured in the CSI-RS resource set based on the CSI resource configuration message (S1902, S1908). This corresponds to CRI #0, 1, 2, and 3.
  • the base station receives four reports of "CRI + measured RSRP" from the terminal, i.e., reports of measured RSRPs for CRI #1, 4, 7, and 10 (S1904).
  • the base station inputs the four received "CRI + measured RSRP" as input values of the model for beam management. Then, the base station derives (infers) 12 predicted RSRPs for CRI #0 ⁇ 11 by the AI/ML model (S1905). After that, the base station selects one of these beams (S1906) and transmits a beam indication indicating the CRI for the selected beam to the terminal (S1907).
  • the CSI reporting method described so far describes a CRI mapping method for CSI-RSRP reporting based on individual beam wise distributed type, but the same method can also be applied to CSI-RSRP reporting based on beam-group-wise distributed type.
  • the CSI resource configuration described in this specification be applied to the NZP CSI-RS resource configuration set for beam management.
  • Fig. 20 illustrates an operation method of a terminal according to another embodiment of the present specification.
  • the terminal receives information on a CSI (channel state information)-RS (reference signal) resource set and information related to the number of inference beams from the base station (S2001).
  • CSI-RS resource sets are NZP (non-zero power) resource sets.
  • the terminal measures at least one CSI-RS corresponding to the CSI-RS resource set based on the received CSI-RS resource set information (S2002), and transmits a report of an inference result based on the measurement of at least one CSI-RS to the base station (S2003).
  • the measurement of at least one CSI-RS may be a measurement of the strength (e.g., RSRP) of at least one CSI-RS.
  • the above inference beam number related information may be at least one of input output ratio (InputOutputRatio, InputOutputRatio) information and total number of beams (TotalNrofBeams) information.
  • the terminal can receive beam offset (beamOffset) information from the base station, and the CSI-RS resource recognizer can be further based on the beam offset information.
  • beamOffset beam offset
  • the terminal may receive at least one of group number of beams (GroupNrofBeam) information and beam index hopping size information from the base station, and the CSI-RS resource identifier may further be based on at least one of the group number of beams information and the beam index hopping size information.
  • GroupNrofBeam group number of beams
  • the report of the above inference result may include information on K highest intensities among the intensities predicted through inference based on the measurement of at least one CSI-RS, where K is a natural number greater than or equal to 1.
  • Figure 21 illustrates an operation method of a base station according to one embodiment of the present specification.
  • the base station receives information on a CSI (channel state information)-RS (reference signal) resource set and information related to the number of inferred beams from the terminal (S2101).
  • CSI-RS resource sets are NZP (non-zero power) resource sets.
  • the base station transmits at least one CSI-RS corresponding to the CSI-RS resource set to the terminal based on the transmitted CSI-RS resource set information (S2102), and receives a report of an inference result based on the measurement of at least one transmitted CSI-RS from the terminal (S2103).
  • the measurement of at least one CSI-RS may be a measurement of the strength (e.g., RSRP) of at least one CSI-RS.
  • the above inference beam number related information may be at least one of input output ratio (InputOutputRatio, InputOutputRatio) information and total number of beams (TotalNrofBeams) information.
  • the base station can transmit beam offset (beamOffset) information to the terminal, and the CSI-RS resource recognizer can be further based on the beam offset information.
  • beamOffset beam offset
  • the base station can transmit at least one of group number of beams (GroupNrofBeam) information and beam index hopping size information to the terminal, and the CSI-RS resource identifier can be further based on at least one of the group number of beams information and the beam index hopping size information.
  • GroupNrofBeam group number of beams
  • the report of the above inference result may include information on K highest intensities among the intensities predicted through inference based on the measurement of at least one CSI-RS, where K is a natural number greater than or equal to 1.
  • FIG. 22 illustrates a device according to one embodiment of the present specification.
  • the 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.
  • Figure 23 is a block diagram showing the configuration of a terminal according to one embodiment of the present specification.
  • FIG. 23 is a drawing illustrating the device of FIG. 22 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. 24 shows a block diagram of a processor in which the disclosure of this 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. 25 is a block diagram showing in detail the transceiver of the first device illustrated in FIG. 22 or the transceiver unit of the device illustrated in FIG. 23.
  • the transceiver (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 (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 faisceau et de rapport de résultat pour une inférence de modèle d'intelligence artificielle et/ou d'apprentissage automatique. Un terminal reçoit, en provenance d'une station de base, des informations concernant un ensemble de ressources de signal de référence (RS) d'informations d'état de canal (CSI) et des informations relatives au nombre de faisceaux d'inférence. Ensuite, le terminal mesure au moins un CSI-RS correspondant à l'ensemble de ressources CSI-RS. De plus, le terminal transmet, à la station de base, un rapport sur un résultat d'inférence sur la base de la mesure du ou des CSI-RS, un rapport sur le résultat de la mesure du ou des CSI-RS utilisant un indicateur de ressource CSI-RS (CRI) sur la base des informations relatives au nombre de faisceaux d'inférence.
PCT/KR2024/007876 2023-06-08 2024-06-10 Procédé et appareil de mesure de faisceau et de rapport de résultat pour une inférence de modèle d'intelligence artificielle et/ou d'apprentissage automatique Ceased WO2024253486A1 (fr)

Applications Claiming Priority (4)

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KR20230073496 2023-06-08
KR10-2023-0073496 2023-06-08
KR10-2024-0072307 2024-06-03
KR1020240072307A KR20240174495A (ko) 2023-06-08 2024-06-03 인공지능 및/또는 머신러닝 모델 추론을 위한 빔 측정과 결과 보고 방법 및 장치

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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023287086A1 (fr) * 2021-07-14 2023-01-19 엘지전자 주식회사 Procédé et dispositif d'émission ou de réception d'informations de faisceau dans un système de communication sans fil

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023287086A1 (fr) * 2021-07-14 2023-01-19 엘지전자 주식회사 Procédé et dispositif d'émission ou de réception d'informations de faisceau dans un système de communication sans fil

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
DAEWON LEE, INTEL CORPORATION: "Other Aspects on AI/ML for Beam Management", 3GPP DRAFT; R1-2304821; TYPE DISCUSSION; FS_NR_AIML_AIR, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES ; F-06921 SOPHIA-ANTIPOLIS CEDEX ; FRANCE, vol. RAN WG1, no. Incheon, KR; 20230522 - 20230526, 14 May 2023 (2023-05-14), Mobile Competence Centre ; 650, route des Lucioles ; F-06921 Sophia-Antipolis Cedex ; France, XP052310277 *
LEI ZHOU, NEW H3C TECHNOLOGIES CO., LTD.: "Discussion on other aspects of AI/ML beam management", 3GPP DRAFT; R1-2302432; TYPE DISCUSSION; FS_NR_AIML_AIR, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES ; F-06921 SOPHIA-ANTIPOLIS CEDEX ; FRANCE, vol. RAN WG1, no. Online; 20230417 - 20230426, 7 April 2023 (2023-04-07), Mobile Competence Centre ; 650, route des Lucioles ; F-06921 Sophia-Antipolis Cedex ; France, XP052293007 *
YAN CHENG, HUAWEI, HISILICON: "Discussion on AI/ML for beam management", 3GPP DRAFT; R1-2304656; TYPE DISCUSSION; FS_NR_AIML_AIR, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES ; F-06921 SOPHIA-ANTIPOLIS CEDEX ; FRANCE, vol. RAN WG1, no. Incheon, KR; 20230522 - 20230526, 15 May 2023 (2023-05-15), Mobile Competence Centre ; 650, route des Lucioles ; F-06921 Sophia-Antipolis Cedex ; France, XP052310111 *
YOUNG WOO KWAK, INTERDIGITAL, INC.: "Discussion for other aspects on AI/ML for beam management", 3GPP DRAFT; R1-2304440; TYPE DISCUSSION; FS_NR_AIML_AIR, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES ; F-06921 SOPHIA-ANTIPOLIS CEDEX ; FRANCE, vol. RAN WG1, no. Incheon, KR; 20230522 - 20230526, 12 May 2023 (2023-05-12), Mobile Competence Centre ; 650, route des Lucioles ; F-06921 Sophia-Antipolis Cedex ; France, XP052309898 *

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