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WO2025177165A1 - Faisceau virtuel dans une gestion de faisceau basée sur l'ia - Google Patents

Faisceau virtuel dans une gestion de faisceau basée sur l'ia

Info

Publication number
WO2025177165A1
WO2025177165A1 PCT/IB2025/051775 IB2025051775W WO2025177165A1 WO 2025177165 A1 WO2025177165 A1 WO 2025177165A1 IB 2025051775 W IB2025051775 W IB 2025051775W WO 2025177165 A1 WO2025177165 A1 WO 2025177165A1
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WO
WIPO (PCT)
Prior art keywords
beams
beam set
physical
predicted
configuration information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/IB2025/051775
Other languages
English (en)
Inventor
Zhilan XIONG
Zhiming YIN
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Telefonaktiebolaget LM Ericsson AB
Original Assignee
Telefonaktiebolaget LM Ericsson AB
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Telefonaktiebolaget LM Ericsson AB filed Critical Telefonaktiebolaget LM Ericsson AB
Publication of WO2025177165A1 publication Critical patent/WO2025177165A1/fr
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • H04B7/0686—Hybrid systems, i.e. switching and simultaneous transmission
    • H04B7/0695—Hybrid systems, i.e. switching and simultaneous transmission using beam selection

Definitions

  • NR new radio
  • NR new radio
  • GHz Gigahertz
  • the available large transmission bandwidths in these frequency ranges may potentially provide large data rates.
  • highly directional beams are used to focus the radio transmitter energy in a particular direction on the receiver.
  • large radio antenna arrays - at both receiver and transmitter sides - are needed to create such highly direction beams.
  • large antenna arrays for high frequencies use time-domain analog beamforming.
  • the core idea of analog beamforming is to share a single radio frequency chain between many (or potentially all) of the antenna elements.
  • a limitation of analog beamforming is that it is only possible to transmit radio energy using one beam (in one direction) at a given time.
  • the above limitation requires the network and user equipment (UE) to perform beam management procedures to establish and maintain suitable transmitter (Tx)Zreceiver (Rx) beampairs.
  • beam management procedures may be used by a transmitter to sweep a geographic area by transmitting reference signals on different candidate beams, during nonoverlapping time intervals, using a predetermined pattern.
  • the best transmit and receive beams may be identified.
  • Beam management procedures in NR are defined by a set of layer 1/layer 2 (L1/L2) procedures that establish and maintain suitable beam pairs for both transmitting and receiving data.
  • a beam management procedure may include the following sub-procedures: beam determination, beam measurements, beam reporting, and beam sweeping.
  • P1/P2/P3 beam management procedures may be performed according to the NR technical report to overcome the challenges of establishing and maintaining the beam pairs when, for example, a UE moves or a blockage in the environment requires changing the beams.
  • these scenarios are not directly mentioned in specifications, there are relevant procedures defined that enable the realization of these scenarios. Examples of such realization are depicted in the corresponding figure of each scenario.
  • FIG. 1 illustrates synchronization signal block (SSB) beam selection as part of an initial access procedure according to the Pl scenario.
  • the Pl procedure is used to enable UE measurement on different transmission/reception point (TRP) Tx beams to support the selection of TRP Tx beams/UE Rx beam(s).
  • TRP transmission/reception point
  • the gNB transmits synchronization signal/physical broadcast channel (SS/PBCH) block (SSB) beams in different directions to cover the entire cell.
  • SS/PBCH synchronization signal/physical broadcast channel
  • SSB synchronization signal/physical broadcast channel
  • the UE measures signal quality on corresponding SSB signals to detect and select an appropriate SSB beam, as illustrated in Figure 1.
  • Random access is then transmitted on the random access channel (RACH) resources indicated by the selected SSB.
  • RACH random access channel
  • the corresponding beam will be used by both the UE and the network to communicate until connected mode beam management is active.
  • the network infers which SSB beam was chosen
  • beamforming typically includes an intra/inter-TRP Tx beam sweep from a set of different beams.
  • beamforming typically includes a UE Rx beam sweep from a set of different beams.
  • P3 may be used by the UE to find the best Rx beam for the corresponding Tx beam.
  • the gNB keeps one CSI-RS Tx beam at a time, and the UE performs the sweeping and measurements on its own Rx beams for that specific Tx beam. The UE then finds the best corresponding Rx beam based on the measurements and will use it in the future for reception when the gNB indicates the use of that Tx beam.
  • the network node configures the UE with S c CSI triggering states.
  • Each triggering state contains the aperiodic CSI report setting to be triggered along with the associated aperiodic CSI-RS resource sets.
  • the CSI-ReportConfig IE comprises the following configurations:
  • the UE measures Set B (the 4 beams indicated by dark circles).
  • the AI/ML model should predict the best beam (or beams) in Set A using only measurements from Set B.
  • Figure 4 illustrates an example where Set B is a subset of Set A.
  • Figure 4 illustrates a grid-of-beam type radiation pattern: Each row (resp. column) depicts a certain zenith (resp. azimuth) angle from the antenna array.
  • Set A has 8 beams and
  • Set B has 4 beams (indicated by dark circles).
  • Beams from Set A) - Alt.4 Measurements of the predicted best beam(s) corresponding to model output (e.g.,
  • Signalling/configuration/measurement/report for model monitoring e.g., signalling aspects related to assistance information (if supported), Reference signals
  • UE sends reporting to NW (e.g., for the calculation of performance metric at NW)
  • UE calculates performance metric(s), either reports it to NW or reports an event to NW based on the performance metric(s)
  • the indication/request/report may be not needed in some case(s)
  • - UE calculates performance metric(s), either reports it to NW or reports an event to NW based on the performance metric(s)
  • Mote 1 The above analysis shall not give an indication about whether/which metric is supported or specified. Note2: Monitoring performance of the above alternatives are not addressed in the table.
  • a key part of AI/ML-based prediction is data collection. Data collection is performed in several stages of the life-cycle management (LCM).
  • LCM life-cycle management
  • a potential issue with a data-driven approach for learning the gNB TX/RX beam correlations/properties is that different sites/cells may have different antenna/beam configurations. Moreover, even within the same cell, there may be scenarios where antenna/beam configurations are semi-dynamically adjusted to better fit the current traffic load situations.
  • the network sends SSB information and NZP CSI-RS resource information to the UE for RSRP measurement of each considered beam so that the UE and the gNB are able to find the identifiers (IDs) of the best (e.g., more optimal) one or more measured beams according to RSRP measurement of the measured beams.
  • IDs identifiers
  • One of the straightforward approaches is to reuse the existing resource indication (i.e., the indication via NZP CSI-RS resources and SSB index) in the specification for Set A and Set B configurations of Al-based beam management.
  • this approach will cause the network to configure NZP CSI-RS resources and/or NZP CSI-RS resource sets that are not measured by UE.
  • Certain aspects of the disclosure and their embodiments may provide solutions to these or other challenges.
  • particular embodiments include virtual beams to support beam prediction in artificial intelligence (Al)-based beam management for signaling overhead reduction.
  • Al artificial intelligence
  • the network may send configuration information of Set A (i.e., beam set for prediction) that indicates at least one virtual beam and configuration information of Set B (i.e., measured beam set) to UE for Al-based beam prediction, where Set A explicitly or implicitly indicates beam location/direction information in two-dimensional (2D) space (e.g., 2D grid) or three-dimensional (3D) space (e.g., 3D grid) for each beam in Set A, and Set B explicitly or implicitly indicates beam location/direction information in 2D space (e.g., 2D grid) or 3D space (e.g., 3D grid) for each beam in Set B.
  • Set A may or may not include Set B.
  • a virtual beam may be a beam that the network does not physically transmit to the UE, for example, in the configured (or pre -configured, or pre-defined) time window (or time instances, or time-frequency window, or time-frequency instances) for prediction.
  • a method is performed by a wireless device (e.g., UE) for beam prediction in a wireless network.
  • the method comprises receiving beam configuration information for two sets of beams, a beam set A and a beam set B.
  • Beam set B comprises physical beams and beam set A comprises one or more virtual beams (and potentially one or more physical beams).
  • the beam configuration information comprises data indicating a beam pattern for each of the beams in beam Set A and beam Set B and at least physical time/frequency resources for transmission/reception of the physical beams of beam Set B (and beam Set A, if any).
  • the method further comprises measuring one or more beams from beam set B and predicting one or more beams from beam set A based on the measurement of the one or more beams from beam set B.
  • the configuration for a virtual beam does not include time/frequency resources for transmission/reception of the beam.
  • beam set A further comprises one or more physical beams and the beam configuration information comprises physical time/frequency resources for transmission/reception of the physical beams of beam Set A.
  • the one or more predicted beams from beam set A may comprise at least one virtual beam and at least one physical beam.
  • the method further comprises measuring a physical beam from beam set A and reporting a performance value associated with a predicted value of the beam from beam set A based on a comparison of the predicted value for the beam and the measured value of the beam.
  • the time/frequency resources for reception of the beam comprise one of channel state information (CSI) resources or synchronization signal block (SSB) resources.
  • CSI channel state information
  • SSB synchronization signal block
  • predicting the one or more beams is based on a machine learning model that uses beam set B as input and beam set A as output.
  • a wireless device comprises processing circuitry operable to perform any of the wireless device methods described above.
  • a computer program product comprising a non-transitory computer readable medium storing computer readable program code, the computer readable program code operable, when executed by processing circuitry to perform any of the methods performed by the wireless device described above.
  • the network may configure the first NZP CSI-RS resource set as the beam Set A and transmit it to the UE.
  • the network may also configure the second NZP CSI-RS resource set as the beam Set B and transmit it to the UE.
  • partial or all NZP CSI-RS resources in the first NZP CSI-RS resource set may have the beam location information and/or the beam direction information but have no NZP CSI-RS signal information because the network does not expect the UE to measure them.
  • all NZP CSI-RS resources in the first NZP CSI-RS resource set may have the beam location information and/or the beam direction information and also may have NZP CSI-RS signal information to support the UE to measure these signals in partial time instances but not all predicted time instances
  • a beam may be a physical beam in one time instance if the UE is able to measure this beam in this time instance, and another beam may be a virtual beam in one time instance if the UE needs to predict this beam in this time instance but is not able to measure this beam in this time instance .
  • Such embodiments may be used to support performance monitoring at the UE side and/or at the network side besides, for example, the Al-model inference because the prediction performance may be compared via predicted results and measured results for some time instances.
  • the network nodes 110 facilitate direct or indirect connection of user equipment (UE), such as by connecting UEs 112a, 112b, 112c, and 112d (one or more of which may be generally referred to as UEs 112) to the core network 106 over one or more wireless connections.
  • UE user equipment
  • Example wireless communications over a wireless connection include transmitting and/or receiving wireless signals using electromagnetic waves, radio waves, infrared waves, and/or other types of signals suitable for conveying information without the use of wires, cables, or other material conductors.
  • the communication system 100 may include any number of wired or wireless networks, network nodes, UEs, and/or any other components or systems that may facilitate or participate in the communication of data and/or signals whether via wired or wireless connections.
  • the communication system 100 may include and/or interface with any type of communication, telecommunication, data, cellular, radio network, and/or other similar type of system.
  • the UEs 112 may be any of a wide variety of communication devices, including wireless devices arranged, configured, and/or operable to communicate wirelessly with the network nodes 110 and other communication devices.
  • the network nodes 110 are arranged, capable, configured, and/or operable to communicate directly or indirectly with the UEs 112 and/or with other network nodes or equipment in the telecommunication network 102 to enable and/or provide network access, such as wireless network access, and/or to perform other functions, such as administration in the telecommunication network 102.
  • the host 116 may be under the ownership or control of a service provider other than an operator or provider of the access network 104 and/or the telecommunication network 102 and may be operated by the service provider or on behalf of the service provider.
  • the host 116 may host a variety of applications to provide one or more service. Examples of such applications include live and pre-recorded audio/video content, data collection services such as retrieving and compiling data on various ambient conditions detected by a plurality of UEs, analytics functionality, social media, functions for controlling or otherwise interacting with remote devices, functions for an alarm and surveillance center, or any other such function performed by a server.
  • a UE may support device-to-device (D2D) communication, for example by implementing a 3 GPP standard for sidelink communication, Dedicated Short-Range Communication (DSRC), vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), or vehicle-to- everything (V2X) .
  • D2D device-to-device
  • DSRC Dedicated Short-Range Communication
  • V2V vehicle-to-vehicle
  • V2I vehicle-to-infrastructure
  • V2X vehicle-to- everything
  • a UE may not necessarily have a user in the sense of a human user who owns and/or operates the relevant device.
  • a UE may represent a device that is intended for sale to, or operation by, a human user but which may not, or which may not initially, be associated with a specific human user (e.g., a smart sprinkler controller).
  • a UE may represent a device that is not intended for sale to, or operation by, an end user but which may be associated with or operated for the benefit of a user (e.g., a smart power meter).
  • the UE 200 includes processing circuitry 202 that is operatively coupled via a bus 204 to an input/output interface 206, a power source 208, a memory 210, a communication interface 212, and/or any other component, or any combination thereof.
  • Certain UEs may utilize all or a subset of the components shown in Figure 7. The level of integration between the components may vary from one UE to another UE. Further, certain UEs may contain multiple instances of a component, such as multiple processors, memories, transceivers, transmitters, receivers, etc.
  • the processing circuitry 202 is configured to process instructions and data and may be configured to implement any sequential state machine operative to execute instructions stored as machine-readable computer programs in the memory 210.
  • the processing circuitry 202 may be implemented as one or more hardware-implemented state machines (e.g., in discrete logic, field- programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), etc.); programmable logic together with appropriate firmware; one or more stored computer programs, general-purpose processors, such as a microprocessor or digital signal processor (DSP), together with appropriate software; or any combination of the above.
  • the processing circuitry 202 may include multiple central processing units (CPUs).
  • the input/output interface 206 may be configured to provide an interface or interfaces to an input device, output device, or one or more input and/or output devices.
  • Examples of an output device include a speaker, a sound card, a video card, a display, a monitor, a printer, an actuator, an emitter, a smartcard, another output device, or any combination thereof.
  • An input device may allow a user to capture information into the UE 200.
  • the memory 210 may be configured to include a number of physical drive units, such as redundant array of independent disks (RAID), flash memory, USB flash drive, external hard disk drive, thumb drive, pen drive, key drive, high-density digital versatile disc (HD-DVD) optical disc drive, internal hard disk drive, Blu-Ray optical disc drive, holographic digital data storage (HDDS) optical disc drive, external mini-dual in-line memory module (DIMM), synchronous dynamic random access memory (SDRAM), external micro-DIMM SDRAM, smartcard memory such as tamper resistant module in the form of a universal integrated circuit card (UICC) including one or more subscriber identity modules (SIMs), such as a USIM and/or ISIM, other memory, or any combination thereof.
  • RAID redundant array of independent disks
  • HD-DVD high-density digital versatile disc
  • HDDS holographic digital data storage
  • DIMM external mini-dual in-line memory module
  • SDRAM synchronous dynamic random access memory
  • SDRAM synchronous dynamic random access memory
  • the UICC may for example be an embedded UICC (eUICC), integrated UICC (iUICC) or a removable UICC commonly known as ‘SIM card.’
  • eUICC embedded UICC
  • iUICC integrated UICC
  • SIM card removable UICC commonly known as ‘SIM card.’
  • the memory 210 may allow the UE 200 to access instructions, application programs and the like, stored on transitory or non-transitory memory media, to off-load data, or to upload data.
  • An article of manufacture, such as one utilizing a communication system may be tangibly embodied as or in the memory 210, which may be or comprise a device-readable storage medium.
  • the processing circuitry 202 may be configured to communicate with an access network or other network using the communication interface 212.
  • the communication interface 212 may comprise one or more communication subsystems and may include or be communicatively coupled to an antenna 222.
  • the communication interface 212 may include one or more transceivers used to communicate, such as by communicating with one or more remote transceivers of another device capable of wireless communication (e.g., another UE or a network node in an access network).
  • Each transceiver may include a transmitter 218 and/or a receiver 220 appropriate to provide network communications (e.g., optical, electrical, frequency allocations, and so forth).
  • the transmitter 218 and receiver 220 may be coupled to one or more antennas (e.g., antenna 222) and may share circuit components, software or firmware, or alternatively be implemented separately.
  • communication functions of the communication interface 212 may include cellular communication, Wi-Fi communication, LPWAN communication, data communication, voice communication, multimedia communication, short- range communications such as Bluetooth, near-field communication, location-based communication such as the use of the global positioning system (GPS) to determine a location, another like communication function, or any combination thereof.
  • GPS global positioning system
  • a UE may provide an output of data captured by its sensors, through its communication interface 212, via a wireless connection to a network node.
  • Data captured by sensors of a UE can be communicated through a wireless connection to a network node via another UE.
  • the output may be periodic (e.g., once every 15 minutes if it reports the sensed temperature), random (e.g., to even out the load from reporting from several sensors), in response to a triggering event (e.g., when moisture is detected an alert is sent), in response to a request (e.g., a user initiated request), or a continuous stream (e.g., a live video feed of a patient).
  • a UE comprises an actuator, a motor, or a switch, related to a communication interface configured to receive wireless input from a network node via a wireless connection.
  • the states of the actuator, the motor, or the switch may change.
  • the UE may comprise a motor that adjusts the control surfaces or rotors of a drone in flight according to the received input or to a robotic arm performing a medical procedure according to the received input.
  • a UE may represent a machine or other device that performs monitoring and/or measurements and transmits the results of such monitoring and/or measurements to another UE and/or a network node.
  • the UE may in this case be an M2M device, which may in a 3GPP context be referred to as an MTC device.
  • the UE may implement the 3GPP NB-IoT standard.
  • a UE may represent a vehicle, such as a car, a bus, a truck, a ship and an airplane, or other equipment that is capable of monitoring and/or reporting on its operational status or other functions associated with its operation.
  • network nodes include multiple transmission point (multi-TRP) 5G access nodes, multi-standard radio (MSR) equipment such as MSR BSs, network controllers such as radio network controllers (RNCs) or base station controllers (BSCs), base transceiver stations (BTSs), transmission points, transmission nodes, multi-cell/multicast coordination entities (MCEs), Operation and Maintenance (O&M) nodes, Operations Support System (OSS) nodes, Self-Organizing Network (SON) nodes, positioning nodes (e.g., Evolved Serving Mobile Location Centers (E-SMLCs)), and/or Minimization of Drive Tests (MDTs).
  • MSR multi-standard radio
  • RNCs radio network controllers
  • BSCs base station controllers
  • BTSs base transceiver stations
  • OFDM Operation and Maintenance
  • OSS Operations Support System
  • SON Self-Organizing Network
  • positioning nodes e.g., Evolved Serving Mobile Location Centers (E-SMLCs)
  • the network node 300 includes a processing circuitry 302, a memory 304, a communication interface 306, and a power source 308.
  • the network node 300 may be composed of multiple physically separate components (e.g., a NodeB component and a RNC component, or a BTS component and a BSC component, etc.), which may each have their own respective components.
  • the network node 300 comprises multiple separate components (e.g., BTS and BSC components)
  • one or more of the separate components may be shared among several network nodes.
  • a single RNC may control multiple NodeBs.
  • each unique NodeB and RNC pair may in some instances be considered a single separate network node.
  • the processing circuitry 302 includes a system on a chip (SOC). In some embodiments, the processing circuitry 302 includes one or more of radio frequency (RF) transceiver circuitry 312 and baseband processing circuitry 314. In some embodiments, the radio frequency (RF) transceiver circuitry 312 and the baseband processing circuitry 314 may be on separate chips (or sets of chips), boards, or units, such as radio units and digital units. In alternative embodiments, part or all of RF transceiver circuitry 312 and baseband processing circuitry 314 may be on the same chip or set of chips, boards, or units.
  • SOC system on a chip
  • the processing circuitry 302 includes one or more of radio frequency (RF) transceiver circuitry 312 and baseband processing circuitry 314.
  • the radio frequency (RF) transceiver circuitry 312 and the baseband processing circuitry 314 may be on separate chips (or sets of chips), boards, or units, such as radio units and digital units. In alternative embodiments, part or all of RF trans
  • the memory 304 may comprise any form of volatile or non-volatile computer-readable memory including, without limitation, persistent storage, solid-state memory, remotely mounted memory, magnetic media, optical media, random access memory (RAM), read-only memory (ROM), mass storage media (for example, a hard disk), removable storage media (for example, a flash drive, a Compact Disk (CD) or a Digital Video Disk (DVD)), and/or any other volatile or non-volatile, non-transitory device-readable and/or computer-executable memory devices that store information, data, and/or instructions that may be used by the processing circuitry 302.
  • volatile or non-volatile computer-readable memory including, without limitation, persistent storage, solid-state memory, remotely mounted memory, magnetic media, optical media, random access memory (RAM), read-only memory (ROM), mass storage media (for example, a hard disk), removable storage media (for example, a flash drive, a Compact Disk (CD) or a Digital Video Disk (DVD)), and/or any other volatile or non-
  • the memory 304 may store any suitable instructions, data, or information, including a computer program, software, an application including one or more of logic, rules, code, tables, and/or other instructions capable of being executed by the processing circuitry 302 and utilized by the network node 300.
  • the memory 304 may be used to store any calculations made by the processing circuitry 302 and/or any data received via the communication interface 306.
  • the processing circuitry 302 and memory 304 is integrated.
  • FIGURE 11 is a flowchart illustrating an example method 1100 in a wireless device, according to certain embodiments. In particular embodiments, one or more steps of FIGURE 11 may be performed by UE 200 described with respect to FIGURE 8.
  • the wireless device is capable of beam prediction in a wireless network.
  • the method 1100 begins at step 1112, where the wireless device (e.g., UE 200) receives beam configuration information for two sets of beams, a beam set A and a beam set B.
  • Beam set B comprises physical beams and beam set A comprises one or more virtual beams (and potentially one or more physical beams).
  • the beam configuration information comprises data indicating a beam pattern for each of the beams in beam Set A and beam Set B and at least physical time/frequency resources for transmission/reception of the physical beams of beam Set B (and beam Set A, if any).
  • the beam configuration information associated with the beam set A is configured on a first resource set comprising at least one of a first non-zero power channel state information-reference signal (NZP CSI-RS) resource set and a first synchronization signal block (SSB) resource set.
  • the beam configuration information associated with the beam set B is configured on a second resource set comprising at least one of a second NZP CSI-RS resource set and a second SSB resource set.
  • the configuration for a virtual beam does not include time/frequency resources for transmission/reception of the beam.
  • beam set A further comprises one or more physical beams and the beam configuration information comprises physical time/frequency resources for transmission/reception of the physical beams of beam Set A.
  • the beam configuration information comprises any of the beam configuration information described with respect to the embodiments and examples described herein.
  • the wireless device measures one or more beams from beam set B.
  • the network node transmits the physical beams from beam set B on the configured time/frequency resources and the wireless device measures the beams for signal quality, strength, etc.
  • the wireless device may measure the one or more beams according to any of the embodiments and examples described herein.
  • the time/frequency resources for reception of the beam comprise one of channel state information (CSI) resources or synchronization signal block (SSB) resources.
  • CSI channel state information
  • SSB synchronization signal block
  • the wireless device predicts one or more beams from beam set A based on the measurement of the one or more beams from beam set B.
  • predicting the one or more beams is based on a machine learning model that uses beam set B as input and beam set A as output.
  • beam set A further comprises one or more physical beams and the beam configuration information comprises physical time/frequency resources for transmission/reception of the physical beams of beam Set A.
  • the one or more predicted beams from beam set A may comprise at least one virtual beam and at least one physical beam.
  • the wireless device predicts the one or more beams according to any of the embodiments and examples described herein.
  • the wireless device measures a physical beam from beam set A.
  • the wireless device may use the measurement for determining a performance of the beam prediction model. For example, the wireless device may both predict the beam from beam set A based on measurements from beam Set B and then actually measure the physical beam. Then the wireless device may compare the predicted beam with the actual measurements from the physical beam to determine an accuracy level of the prediction (i.e., how close is the prediction to the measured value).
  • the wireless device may do the performance monitoring according to any of the embodiments and examples described herein.
  • the method 1200 begins at step 1212, where the network node (e.g., network node 300) transmitting beam configuration information for two sets of beams, a beam set A and a beam set B.
  • Beam set B comprises physical beams and beam set A comprises one or more virtual beams.
  • the beam configuration information comprises data indicating a beam pattern for each of the beams in beam Set A and beam Set B and at least physical time/frequency resources for transmission/reception of the physical beams of beam Set B.
  • the network node may transmit a physical beam from beam set A.
  • the wireless device may receive the beam and use it for validation of a beam prediction model.
  • the network node may receive a report from the wireless device.
  • the report comprises a performance value associated with a predicted value of the beam from beam set A based on a comparison of the predicted value for the beam and the measured value of the beam.
  • a method performed by a user equipment for beam prediction in wireless communication networks comprising: receiving beam configuration information associated with two sets of beams, wherein the two sets of beams comprise a beam set A and a beam set B, wherein: the beam set A comprises at least one virtual beam; the at least one virtual beam represents a simulated beam that is not physically transmitted to the UE; the beam configuration information associated with the beam set A comprises data indicating a beam location and/or a beam direction of each beam in the beam set A in a two-dimensional (2D) space or a three-dimensional (3D) space; the beam set B comprises physical beams; the beam configuration information associated with the beam set B comprises data indicating the beam location and/or the beam direction of each beam in the beam set B in the 2D space or the 3D space; the beam configuration information associated with the beam set B further comprises measured beam data for the beam set B obtained from measuring the beam set B; receiving a request to perform beam prediction for the beam set A based at least on a measurement on the beam set B; performing the measurement on
  • the beam set A comprises a non-virtual beam: the beam location and/or the beam direction of the non-virtual beam is transmitted to the UE via a downlink signal comprising a non-zero power channel state information-reference signal (NZP CSI-RS) or a synchronization signal block (SSB); and the non-virtual beam is transmitted to the UE via the downlink signal transmission.
  • NZP CSI-RS non-zero power channel state information-reference signal
  • SSB synchronization signal block
  • the beam configuration information associated with the beam set A is configured on a first resource set comprising a first non-zero power channel state information-reference signal (NZP CSI-RS) resource set; and the beam configuration information associated with the beam set B is configured on a second resource set comprising a second NZP CSI-RS resource set.
  • NZP CSI-RS non-zero power channel state information-reference signal
  • the beam set A comprises a non-virtual beam: the beam location and/or the beam direction of the non-virtual beam is transmitted to the UE via a downlink signal comprising a non-zero power channel state information-reference signal (NZP CSI-RS) or a synchronization signal block (SSB); and the non-virtual beam is transmitted to the UE via the downlink signal transmission.
  • NZP CSI-RS non-zero power channel state information-reference signal
  • SSB synchronization signal block
  • a network node for managing beam prediction for a user equipment (UE) in wireless communication networks comprising: processing circuitry configured to perform any of the steps of any of the Group B embodiments; power supply circuitry configured to supply power to the processing circuitry.
  • the cellular network further includes a network node configured to communicate with the UE to transmit the user data to the UE from the host.
  • the processing circuitry of the host is configured to execute a host application, thereby providing the user data; and the host application is configured to interact with a client application executing on the UE, the client application being associated with the host application.
  • UE user equipment

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

Selon certains modes de réalisation, un procédé est mis en œuvre par un dispositif sans fil pour une prédiction de faisceau dans un réseau sans fil. Le procédé consiste à recevoir des informations de configuration de faisceau pour deux ensembles de faisceaux, un ensemble de faisceaux A et un ensemble de faisceaux B. L'ensemble de faisceaux B comprend des faisceaux physiques et l'ensemble de faisceaux A comprend un ou plusieurs faisceaux virtuels. Les informations de configuration de faisceau comprennent des données indiquant un motif de faisceau pour chacun des faisceaux de l'ensemble de faisceaux A et de l'ensemble de faisceaux B, et au moins des ressources temps/fréquence physiques pour l'émission/la réception des faisceaux physiques de l'ensemble de faisceaux B. Le procédé consiste en outre à mesurer un ou plusieurs faisceaux provenant de l'ensemble de faisceaux B et à prédire un ou plusieurs faisceaux provenant de l'ensemble de faisceaux B sur la base de la mesure du ou des faisceaux provenant de l'ensemble de faisceaux B.
PCT/IB2025/051775 2024-02-19 2025-02-19 Faisceau virtuel dans une gestion de faisceau basée sur l'ia Pending WO2025177165A1 (fr)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024035322A1 (fr) * 2022-08-11 2024-02-15 Telefonaktiebolaget Lm Ericsson (Publ) Inférence côté dispositif sans fil de prédictions de faisceau de domaine spatial
WO2024035325A1 (fr) * 2022-08-12 2024-02-15 Telefonaktiebolaget Lm Ericsson (Publ) Procédés pour prédictions de faisceau spatial côté dispositif sans fil
WO2024031537A1 (fr) * 2022-08-11 2024-02-15 Qualcomm Incorporated Configurations nominales de signaux csi-rs pour prédiction de faisceau spatial

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024035322A1 (fr) * 2022-08-11 2024-02-15 Telefonaktiebolaget Lm Ericsson (Publ) Inférence côté dispositif sans fil de prédictions de faisceau de domaine spatial
WO2024031537A1 (fr) * 2022-08-11 2024-02-15 Qualcomm Incorporated Configurations nominales de signaux csi-rs pour prédiction de faisceau spatial
WO2024035325A1 (fr) * 2022-08-12 2024-02-15 Telefonaktiebolaget Lm Ericsson (Publ) Procédés pour prédictions de faisceau spatial côté dispositif sans fil

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