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WO2025178536A1 - Structure de csi étendue pour prédiction de faisceau - Google Patents

Structure de csi étendue pour prédiction de faisceau

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Publication number
WO2025178536A1
WO2025178536A1 PCT/SE2025/050140 SE2025050140W WO2025178536A1 WO 2025178536 A1 WO2025178536 A1 WO 2025178536A1 SE 2025050140 W SE2025050140 W SE 2025050140W WO 2025178536 A1 WO2025178536 A1 WO 2025178536A1
Authority
WO
WIPO (PCT)
Prior art keywords
csi
beam set
identifier
consistency
beams
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/SE2025/050140
Other languages
English (en)
Inventor
Henrik RYDÉN
Johan AXNÄS
Chunhui Li
Siva Muruganathan
Reem KARAKI
Jianwei Zhang
Marco BELLESCHI
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
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Application filed by Telefonaktiebolaget LM Ericsson AB filed Critical Telefonaktiebolaget LM Ericsson AB
Publication of WO2025178536A1 publication Critical patent/WO2025178536A1/fr
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

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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
    • 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
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/063—Parameters other than those covered in groups H04B7/0623 - H04B7/0634, e.g. channel matrix rank or transmit mode selection
    • 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
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/0632—Channel quality parameters, e.g. channel quality indicator [CQI]
    • 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
    • H04B7/06952—Selecting one or more beams from a plurality of beams, e.g. beam training, management or sweeping

Definitions

  • the present disclosure generally relates to communication networks, and more specifically to extended channel state information (CSI) framework for indicating set A and B for user equipment (UE) side beam prediction.
  • CSI extended channel state information
  • UE user equipment
  • BACKGROUND One of the key features of new radio (NR), compared to previous generation of wireless networks, is the ability to operate in higher frequencies (e.g., above 10 Giga hertz (GHz)). The available large transmission bandwidths in these frequency ranges may potentially provide large data rates. However, as carrier frequency increases, both pathloss and penetration loss increase.
  • the network may also instruct the UE to perform measurements on SSBs. If the network receives a report from the UE where a new SSB beam is better than the previous best SSB beam, a corresponding update of the candidate set of CSI-RS beams for the UE may be motivated.
  • the P2 procedure is performed on a possibly smaller set of beams for beam refinement than in P1. Note that P2 may be a special case of P1. For example, in connected mode, a gNB P110739WO01 PCT APPLICATION 3 of 62 configures the UE with different CSI-RSs and transmits each CSI-RS on the corresponding beam.
  • the network then indicates which reference signals are associated with the beam that will be used to transmit PDCCH/PDSCH, and the UE uses the information to adjust its Rx beam when receiving PDCCH/PDSCH.
  • 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.
  • a time-frequency resource used for transmitting CSI-RS is referred to as a CSI-RS resource.
  • the CSI-RS for beam management is defined as a 1 or 2-port CSI-RS resource in a CSI-RS resource set where the field repetition is present. The following three types of CSI- RS transmissions are supported.
  • CSI-RS is transmitted periodically in certain slots.
  • the CSI-RS transmission is semi-statically configured using radio resource control (RRC) signaling with parameters such as CSI-RS resource, periodicity, and slot offset.
  • RRC radio resource control
  • Semi-persistent CSI-RS is similar to periodic CSI-RS.
  • Aperiodic CSI-RS is a one-shot CSI-RS transmission that may happen in any slot.
  • one-shot means that CSI-RS transmission only happens once per trigger.
  • the CSI-RS resources i.e., the resource element (RE) locations which consist of subcarrier locations and orthogonal frequency division multiplexing (OFDM) symbol locations
  • RE resource element
  • OFDM orthogonal frequency division multiplexing
  • aperiodic CSI-RS is triggered by dynamic signaling through PDCCH using the CSI request field in uplink downlink control information (UL DCI), in the same DCI where the uplink resources for the measurement report are scheduled.
  • UL DCI uplink downlink control information
  • Multiple aperiodic CSI-RS resources may be included in a CSI-RS resource set, and the triggering of aperiodic CSI-RS is on a resource set basis.
  • an SSB consists of a pair of synchronization signals (SSs), a physical broadcast channel (PBCH), and a demodulation reference signal (DMRS) for PBCH.
  • SSs synchronization signals
  • PBCH physical broadcast channel
  • DMRS demodulation reference signal
  • NR supports beamforming and beam-sweeping for SSB transmission by enabling a cell to transmit multiple SSBs in different narrow-beams multiplexed in time.
  • the transmission of the SSBs is confined to a half-frame time interval (5 ms). It is also possible to configure a cell to transmit multiple SSBs in a single wide-beam with multiple repetitions.
  • the design of beamforming parameters for each of the SSBs within a half frame is up to network implementation.
  • the SSBs within a half frame are broadcasted periodically from each cell.
  • the periodicity of the half frames with SS/PBCH blocks is referred to as SSB periodicity, which is indicated by system information block 1 (SIB1).
  • SIB1 system information block 1
  • L The maximum number of SSBs within a half frame, denoted by L, depends on the frequency band, and the time locations for the L candidate SSBs within a half frame depends on the subcarrier spacing (SCS) of the SSBs.
  • SCS subcarrier spacing
  • the L candidate SSBs within a half frame are indexed in ascending order in time from 0 to L-1.
  • a cell does not necessarily transmit SS/PBCH blocks in all L candidate locations in a half frame, and the resource of the unused candidate positions may be used for the transmission of data or control signaling instead. It is up to network implementation to decide which candidate time locations to select for SSB transmission within a half frame, and which beam to use for each SSB transmission. P110739WO01 PCT APPLICATION 5 of 62 [0023]
  • a UE may be configured with N ⁇ 1 CSI reporting settings (CSI-ReportConfig) and M ⁇ 1 resource settings (CSI-ResourceConfig), where each of N and M is an integer.
  • CSI-ReportConfig CSI reporting settings
  • CSI-ResourceConfig M ⁇ 1 resource settings
  • Each CSI reporting setting is linked to one or more resource settings for channel and/or interference measurement.
  • the CSI framework is modular in the sense that several CSI reporting settings may be associated with the same Resource Setting.
  • the measurement resource configurations for beam management are provided to the UE by RRC information element (IE) (CSI-ResourceConfigs).
  • IE information element
  • One CSI-ResourceConfig contains several NZP-CSI-RS-ResourceSets and/or CSI-SSB-ResourceSets.
  • a UE may be configured to measure CSI-RSs using the RRC IE non-zero power channel state information reference signal (NZP-CSI-RS)-ResourceSet.
  • NZP-CSI-RS resource set contains the configurations of Ks ⁇ 1 CSI-RS resources.
  • Each triggering state contains the aperiodic CSI report setting to be triggered along with the associated aperiodic CSI-RS resource sets.
  • Three types of CSI reporting are supported in NR, as follows. [0031] One type is periodic CSI reporting on PUCCH. CSI is reported periodically by a UE.
  • Parameters such as periodicity and slot offset are configured semi-statically by higher layer RRC signaling from the network node to the UE.
  • Another type is semi-persistent CSI reporting on PUSCH or PUCCH. This is similar to periodic CSI reporting where semi-persistent CSI reporting has a periodicity and slot offset that may be semi-statically configured.
  • a dynamic trigger from a network node to UE may be used to enable the UE to begin semi-persistent CSI reporting.
  • a dynamic trigger from the network node to UE is needed to request the UE to stop the semi-persistent CSI reporting.
  • P110739WO01 PCT APPLICATION 6 of 62
  • a third type is aperiodic CSI reporting on PUSCH.
  • This type of CSI reporting involves a single-shot (i.e., one time) CSI report by a UE that is dynamically triggered by the network node using DCI.
  • Some of the parameters related to the configuration of the aperiodic CSI report are semi-statically configured by RRC, but the triggering is dynamic.
  • the content and time-domain behavior of the report is defined, along with the linkage to the associated Resource Settings.
  • the CSI-ReportConfig IE comprises the following configurations: ⁇ reportConfigType: Defines the time-domain behavior (periodic CSI reporting, semi- persistent CSI reporting, or aperiodic CSI reporting) along with the periodicity and slot offset of the report for periodic CSI reporting.
  • ⁇ reportQuantity Defines the reported CSI parameters -- the CSI content; for example, the pre-coding matrix indicator (PMI), channel quality indicator (CQI), rank indicator (RI), layer indicator (L1), CSI-RS resource index (CRI) and L1-RSRP. Only certain combinations are possible; for example, channel-related information - rank indicator - precoding matrix indicator - channel quality indicator (‘cri-RI-PMI-CQI’) is one possible value and ‘cri-RSRP’ is another) and each value of reportQuantity could be said to correspond to a certain CSI mode.
  • codebookConfig Defines the codebook used for PMI reporting, along with possible codebook subset restriction (CBSR).
  • NR supported the following two types of PMI codebooks: Type I CSI and Type II CSI. Additionally, the Type I and Type II codebooks each have two different variants: regular and port selection.
  • reportFrequencyConfiguration Define the frequency granularity of PMI and CQI (wideband or subband), if reported, along with the CSI reporting band, which is a subset of subbands of the bandwidth part (BWP) to which the CSI corresponds.
  • BWP bandwidth part
  • a UE may be configured to report L1-RSRP for up to four different CSI-RS/SSB resource indicators.
  • the reported RSRP value corresponding to the first more optimal channel-related information (CRI)/synchronization signal block rank indicator (SSBRI) requires 7 bits, using absolute values, while the others require 4 bits using encoding relative to the first.
  • CRI channel-related information
  • SSBRI synchronization signal block rank indicator
  • the report setting configures how the UE shall generate a certain CSI report. It is linked to one or more CSI resource configurations that configure how the UE should make P110739WO01 PCT APPLICATION 7 of 62 measurements for the report.
  • the gNB may configure several different types of reports simultaneously.
  • the UE may be configured with one or more CSI report settings by the higher-layer parameter CSI-ReportConfig carried by dedicated RRC signaling.
  • the reportConfig includes several resourceConfigs, which also may point to several resources according to Figure 4.
  • Figure 4 illustrates a correlation between CSI reporting configurations and CSI resources.
  • Third Generation Partnership Project (3GPP) is studying artificial intelligence/machine learning (AI/ML) based spatial beam prediction. The core idea is to predict the “best” or more optimal beam (or beams) from a Set A of beams using measurement results from another Set B of beams.
  • Set A and Set B of beams have not been defined yet; however, the following two examples illustrate some scenarios that will likely be studied in Release 18.
  • Set B is a subset of a Set A.
  • Set A is a set of 8 SSB/CSI- RS beams shown in Figure 5 (both light and dark circles).
  • 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 5 illustrates an example where Set B is a subset of Set A.
  • Figure 5 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).
  • Set A and Set B correspond to two different sets of beams.
  • Set A is a set of 30 narrow CSI-RS beams
  • Set B is a set of 8 wide SSB beams.
  • the UE measures beams in Set B and the AI/ML model should predict the best beam(s) from Set A.
  • Figure 6 illustrates an example where Set A is a set of narrow beams and Set B is a set of wide beams.
  • the spatial beam prediction may be performed in the gNB or the UE.3GPP is studying AI/ML model training both at the network and UE side. Which side that performs the training is expected to impact how data collection is performed, and another agreement is to study the aspect of data collection for beam management.
  • 3GPP is studying the aspect of model monitoring and the standard impact on AI/ML model inference (e.g., reporting of predicted values).
  • AI/ML model inference e.g., reporting of predicted values.
  • One possible approach/solution is to assume that set A/set B selection is completely up to the UE. However, this approach suffers from several challenges.
  • an identifier is provided to the UE that identifies the used beam configuration/pattern. For example, when the UE receives the same beam configuration/pattern ID over multiple time instances, the UE may assume that the CSI resources are using the same beams/precoders. This may be achieved by using a “consistency” identifier for the CSI resources (in any of the information elements in Figure 7), that may be valid over a multiple Radio Resource Control (RRC) sessions in contrast to, e.g., a legacy nzp-CSI-RS-ResourceId or csi- ReportConfigID.
  • RRC Radio Resource Control
  • a second group of embodiments include a consistency identifier for enabling the UE to train a model in one time instance, and use the trained model in a second time instance (e.g., in a separate RRC session).
  • P110739WO01 PCT APPLICATION 10 of 62 [0054]
  • a method is performed by a wireless device (e.g., UE) for beam prediction in a wireless network.
  • the method comprises receiving a first channel state information (CSI) configuration from a network node.
  • the first CSI configuration comprises an indication of a beam Set A, an indication of a beam Set B, and a first consistency identifier associated with beam Set A and beam Set B.
  • the method further comprises determining the wireless device supports a beam prediction model that uses one or more beams of beam Set B as input and one or more beams of beam Set A as output. The determination is based on the first consistency identifier matching a second consistency identifier associated with beam Set A and beam Set B used for training the beam prediction model.
  • the method further comprises: measuring one or more beams of beam Set B; predicting measurements for one or more beams of beam Set A based on the measured one or more beams of beam Set B and the beam prediction model; and reporting the predicted measurements for the one or beams of beam Set A to the network node.
  • the method further comprises receiving a second CSI configuration.
  • the second CSI configuration comprises an indication of beam Set A, an indication of beam Set B, and the second consistency identifier associated with beam Set A and second beam Set B.
  • the method further comprises measuring one or more beams of beam Set B; measuring one or more beams of beam Set A; and training the beam prediction model based on the measurements of the one or more beams of beam Set B and the measurements of the one or more beams of beam Set A.
  • beam Set B is a subset of beam Set A, or beam Set B is not a subset of beam Set A (e.g., beams Set A is a set of narrow beams and beam Set B is a set of wide beams).
  • the first consistency identifier and the second consistency identifier each comprise a pair of identifiers, one identifier of the pair associated with beam Set A and another identifier of the pair associated with beam Set B.
  • at least one of the indication of beam Set A, the indication of beam Set B, and the first consistency identifier is included in one of: CSI-reportingConfig; CSI- resourceConfig; CSI-resourceSetList; CSI-ResourceList; or CSI-Resource.
  • the second consistency identifier is received in a first RRC session and the first consistency identifier is received in a second RRC session, different from the first RRC session.
  • the second consistency identifier is received in a first cell and the first consistency identifier is received in a second cell, different from the first cell.
  • P110739WO01 PCT APPLICATION 11 of 62 the first consistency identifier matching the second consistency identifier indicates that: CSI resources associated with the first consistency identifier are using the same beams or precoders as CSI resources associated with the second consistency identifier; or CSI resources associated with the first consistency identifier are using the same spatial transmit filters as CSI resources associated with the second consistency identifier.
  • a method is performed by a network node (e.g., gNB) for beam prediction in a wireless network.
  • the method comprises transmitting a first channel state information, CSI, configuration to a wireless device.
  • the first CSI configuration comprises an indication of a beam Set A, an indication of a beam Set B, and a first consistency identifier associated with beam Set A and beam Set B.
  • the first consistency identifier matches a second consistency identifier associated with beam Set A and beam Set B used for training a beam prediction model used by the wireless device.
  • the method further comprises transmitting one or more beams of beam Set B and receiving predicted measurements for one or more beams of beam Set A from the wireless device.
  • particular embodiments extend the current CSI framework with the indication of one or more Set A/B without extensively increasing the signaling burden.
  • particular embodiments provide a consistency identifier enabling the UE to understand whether a Set A/B received during training is the same Set A/B received during inference. For example, if the consistency-csi-ResourceConfigId is the same for two different time-instances, the UE may assume that the beams transmitted in the NZP-CSI-RS- Resources have the same properties (and the UE may use its AI/ML model). This leads to less risk of a UE using an outdated or wrong AI/ML model, which may lead to reduced performance in the beam management operation.
  • Figure 1 illustrates synchronization signal block (SSB) beam selection as part of an initial access procedure according to the P1 scenario
  • Figure 2 illustrates channel state information reference signal (CSI-RS) Tx beam selection in downlink according to the P2 scenario
  • Figure 3 illustrates user equipment (UE) Rx beam selection for corresponding CSI-RS Tx beam in downlink according to P3 scenario
  • Figure 4 illustrates a correlation between CSI reporting configurations and CSI resources
  • Figure 5 illustrates an example where Set B is a subset of Set A
  • Figure 6 illustrates an example where Set A is a set of narrow beams and Set B is a set of wide beams
  • Figure 7 illustrates an example of Set A/B indications as part of CSI reporting and/or resource configurations, according to particular embodiments
  • Figure 8 is a flowchart illustrating an example of a beam prediction model, according to particular embodiments
  • Figure 9 shows an example of a communication system, according to certain embodiments
  • the indication may be indicated as a part of the non-zero power channel state information reference signal (NZP-CSI-RS)-Resource information element (IE) as specified in 3GPP V18.0.0.
  • NZP-CSI-RS non-zero power channel state information reference signal
  • IE resource information element
  • the indication of Set A/Set B may be part of the IE NZP- CSI-RS-ResourceSet where NZP-CSI-RS-ResourceSet is a set of Non-Zero-Power (NZP) CSI-RS resources (their IDs) and set-specific parameters. This enables the network to indicate a set of resources that all are part of the Set B or Set A.
  • NZP Non-Zero-Power
  • the CSI-RS resources in the NZP CSI-RS resource set with the corresponding resource set Id are used for transmitting beams in Set B.
  • the CSI-RS resources in the NZP CSI-RS resource set with the corresponding resource set Id are used for transmitting beams in Set A.
  • NZP-CSI-RS-ResourceSet information element -- ASN1START -- TAG-NZP-CSI-RS-RESOURCESET-START NZP-CSI-RS-ResourceSet :: SEQUENCE ⁇ nzp-CSI-ResourceSetId NZP-CSI-RS- ResourceSetId, nzp-CSI-RS-Resources SEQUENCE (SIZE (1..maxNrofNZP-CSI-RS-ResourcesPerSet)) OF NZP-CSI-RS- ResourceId, repetition ENUMERATED ⁇ on, off ⁇ P110739WO01 PCT APPLICATION 16 of 62 ...
  • the indication of Set A/Set B may be part of the IE CSI- ResourceConfig.
  • the IE CSI-ResourceConfig defines a group of one or more NZP-CSI-RS- ResourceSet, CSI-IM-ResourceSet and/or CSI-SSB-ResourceSet. If there are multiple NZP CSI- RS resource sets configured in a CSI-ResourceConfig, then each such set represents a different set of Set A or Set B beams.
  • CSI-ResourceConfig information element -- ASN1START -- TAG-CSI-RESOURCECONFIG-START 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- ResourceSets
  • the NZP CSI-RS resource set(s) with the corresponding resource set Id’s (e.g., nzp-CSI-RS- ResourceSetId’s) configured as part of CSI-ResourceConfig are used for transmitting different sets of Set A beams.
  • the parameter beamSet-r19 may have a third value ‘isSetAandSetB’.
  • isSetA ⁇ may be configured as part of CSI-ReportConfig.
  • the NZP CSI-RS resource set(s) configured as part of CSI-ResourceConfig with CSI-ResourceConfigId given by resourcesForChannelMeasurement are used for transmitting different sets of Set B beams.
  • either SetA- ID or SetB-ID or both SetA-ID and SetB-ID may be configured instead of the Boolean labeling of Set A or Set B beams.
  • the indication of whether the beam is part of Set A/B is then done by another method, and the integer is only used if the beam is indicated to be part of Set A/B by the other method.
  • the indication of Set A/B beams is done through a list in CSI-MeasConfig or CSI-ReportConfig. In one non-limiting example, it is done according to the following.
  • CSI-MeasConfig information element -- ASN1START -- TAG-CSI-MEASCONFIG-START CSI-MeasConfig :: SEQUENCE ⁇ nzp-CSI-RS-ResourceToAddModList SEQUENCE (SIZE (1..maxNrofNZP-CSI-RS-Resources)) OF NZP-CSI-RS-Resource OPTIONAL, -- Need N P110739WO01 PCT APPLICATION 24 of 62 nzp-CSI-RS-ResourceToReleaseList SEQUENCE (SIZE (1..maxNrofNZP-CSI-RS-Resources)) OF NZP-CSI-RS-ResourceId OPTIONAL, -- Need N nzp-CSI-RS-ResourceSetToAddModList SEQUENCE (SIZE (1..maxNrofNZP-CSI-RS-ResourceSets)) OF NZP-CSI-RS-ResourceSet OPTIONAL, -- Need N nzp
  • the indication of Set A/B beams is provided in a separated IE for AI/ML CSI report, e.g.
  • CSI-AI-ReportConfig SEQUENCE ⁇ reportConfigId CSI-AI- ReportConfigId, carrier ServCellIndex OPTIONAL, -- Need S AI-BeamManagement:: SEQUENCE ⁇ UsageType ENUMERATED ⁇ beamPrediction, ... ⁇ csi-SetAbeams SEQUENCE (SIZE (1..maxNrofCSI-RS-Resources)) OF CSI-RS-Resource OPTIONAL, -- Need N ).
  • csi-SetBbeams SEQUENCE (SIZE (1..maxNrofCSI-RS-Resources)) OF CSI-RS-ResourceId OPTIONAL, -- Need N ⁇ ⁇
  • MAC medium access control
  • CE control element
  • SSB resources may be indicated as Set A/B beams in CSI-MeasConfig or CSI-ReportConfig or channel state information - assisted interference (CSI- AI)-ReportConfig.
  • Some embodiments include configuring the consistency of Set A/B.
  • a potential issue with a data-driven approach for training a beam prediction AI/ML model 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.
  • an identifier is provided to the UE indicating the beam configuration/pattern. For example, if the UE receives the same beam configuration/pattern ID over two or more cells, it may be assumed that the CSI resources are using the same beams/precoders.
  • the “consistency” identifier may be a set of IDs that are configured over multiple cells with different physical cell Ids while NZP- CSI-RS-Resource’s, NZP-CSI-RS-ResourceSet’s, CSI-ResourceConfig’s and CSI- ReportConfig’s are configured within each cell. This may be included via any of the options above via extending its respective IE according to Table 1.
  • the consistency identifier may be generated using any of the following information: ⁇ Global Cell ID or physical Cell ID ⁇ public land mobile network (PLMN)-ID ⁇ Network Vendor info o Vendor ID ⁇ Deployment info o Antenna physical tilt o Antenna physical direction o Antenna Position ⁇ Beam pattern information o For example, a time when beam pattern or specific beam that impacts a resourceID or was changed ⁇ Time when the identifier was generated. [0098] In particular embodiments, the time when the identifier was generated is also part of the information element, or the consistency-identifier is only represented via a time-stamp.
  • FIG. 8 is a flowchart illustrating an example of a beam prediction model, according to the embodiments when Set A/B beams are indicated as part of the resourceConfigID. Note that the UE is done using multiple samples of A and B, possibly in a UE server. [0100] Particular steps are performed by the UE. In the beam selection step, based on the received reference signal transmissions and collected measurements, the UE selects one or more Set B beams to train one or more AI models.
  • the one or more selected Set B beams may comprise one or more of the following beams: one or more SSB beams; one or more narrow beams, e.g.
  • the UE may associate a Set A, wherein the Set A may be a subset of the beams listed above.
  • Set B For temporal beam prediction, Set B, or a subset of Set B may be included in Set A.
  • the UE may select a Set B that is not indicated by the network, as long as the beams in the indicated Set B are a subset of a Set B provided by the network.
  • the UE may select a combination of Set B that is used to predict a single Set A of beams.
  • the UE selects one or more Set B beams to train one or more AI models to predict the associated Set A beams.
  • the UE trains one or more beam prediction AI models corresponding to each of the selected Set (A,B) combination. If none of Set B is supported, the UE may indicate inapplicability for the indicated Set B. i.e. the UE does not have any AI/ML model that uses this Set B as an input, or is not capable of training an AL/ML model based on this specific Set B.
  • the steps 1 and 2 may be performed by the UE itself, or delegated to another external entity (e.g., training server) that decides on the selection of Set B based on the reported measurements from one or more UEs.
  • the external entity trains one or more AI models and delivers the one or more models with the additional information about Set A and B to the UE.
  • the selection of Set A and Set B may be based on any one or more of the following: ⁇ Performance of the combination of Set B/Set A, for example it should be above a certain accuracy level ⁇ Cost of measurements; for example, when the UE is battery constrained, the UE may select to measure on less Set B beams to save energy P110739WO01 PCT APPLICATION 29 of 62 ⁇ Battery type/service type/QoS target/device type ⁇ Estimate of achievable power savings from different omission patterns ⁇ UE computational capabilities, for example in terms of number of operations per second, type of processor (CPU, GPU), number of CPUs.
  • Some embodiments include UE aspects for AI/ML model inference. When the UE has trained the model based on the one or more Set B/A received from the network, the UE signals in UE capability signaling support for AI-based beam prediction based on the one or more Set A/Set B alternatives.
  • the UE may, for example, report any one or more of the following: ⁇ When Set B/Set A beams are indicated in the NZP-CSI-RS-Resource information element, which nzp-CSI-RS-ResourceId that are part of Set B/Set A. ⁇ When Set B/Set A beams are indicated in the NZP-CSI-RS-ResourceSet information element, which nzp-CSI-RS-ResourceSetIds are part of Set B/Set A. o Additionally, the UE may indicate which nzp-CSI-RS-ResourceId’s if only a subset of the beams in each NZP CSI-RS resource set are included.
  • the UE may also include the above information on specific -CSI-RS- ResourceId(s) and nzp-CSI-RS-ResourceSetId(s) that are part of Set B/Set A. ⁇ That the UE only needs the SSB beams in Set B, and the Set A beams according to any of the above methods. ⁇ a consistency identifier. [0109] In particular embodiments, the UE may also report how many or which of the Set A/Set B alternatives may be supported/run simultaneously. In this step, the UE may report the information via any one or more of RRC, UL MAC CE, or UCI. The UE may further also include the performance in terms of accuracy for each of the combinations above.
  • the information in this step is conveyed as partly in “UE Assistance Information” procedure specified in TS 38.331.
  • the indication of the supported Set (A,B) alternatives may in this framework both support proactive and reactive reporting, where the network may request a UE to report which Sets (A, B) it may support.
  • Some embodiments include network aspects for UE AI/ML model inference.
  • the network may, based on the UE reported alternatives of Set (A, B), decide on one or more preferred Set (A,B).
  • a preferred Set may be selected targeting: aligning Set B across different UEs, so that the network has opportunities to reduce RS transmissions by requesting the UEs to measure on the same Set B beams; aligning Set A across different UEs, so that the network has opportunities to minimize RS transmissions on non-measured Set A beams; and maximizing the alignment on non-measured beams (i.e. predicted beams) across different UEs.
  • the network may also configure the Set A beams to predict by indicating using any of the methods described above, also with a flag that indicates that the CSI-report or CSI-resource configuration or CSI-resource or CSI-resourceSets are considered “virtual”, i.e.
  • CSI-ReportConfig information element -- ASN1START -- TAG-CSI-REPORTCONFIG-START CSI-ReportConfig :: SEQUENCE ⁇ reportConfigId CSI-ReportConfigId, consistency-csi-ReportConfigId Integer(0..Max- consistency-csi-ReportConfigIDs),OPTIONAL carrier ServCellIndex OPTIONAL, -- Need S resourcesForChannelMeasurement CSI- ResourceConfigId, csi-IM-ResourcesForInterference CSI-ResourceConfigId OPTIONAL, -- Need R P110739WO01 PCT APPLICATION 31 of 62 ...
  • Figure 9 shows an example of a communication system 100 in accordance with some embodiments.
  • the communication system 100 includes a telecommunication network 102 that includes an access network 104, such as a radio access network (RAN), and a core network 106, which includes one or more core network nodes 108.
  • an access network 104 such as a radio access network (RAN)
  • RAN radio access network
  • core network 106 which includes one or more core network nodes 108.
  • the access network 104 includes one or more access network nodes, such as network nodes 110a and 110b (one or more of which may be generally referred to as network nodes 110), or any other similar 3rd Generation Partnership Project (3GPP) access node or non-3GPP access point.
  • 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 P110739WO01 PCT APPLICATION 32 of 62 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 core network 106 connects the network nodes 110 to one or more hosts, such as host 116. These connections may be direct or indirect via one or more intermediary networks or devices.
  • a UE may not necessarily have a user in the sense of a human P110739WO01 PCT APPLICATION 35 of 62 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 UICC may for example be an embedded UICC (eUICC), integrated UICC (iUICC) or a 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 processing circuitry 302 may comprise a combination of one or more of a microprocessor, controller, microcontroller, central processing unit, digital signal processor, application-specific integrated circuit, field programmable gate array, or any other suitable computing device, resource, or combination of hardware, software and/or encoded logic operable to provide, either alone or in conjunction with other network node 300 components, such as the memory 304, to provide network node 300 functionality.
  • the processing circuitry 302 includes a system on a chip (SOC).
  • the processing circuitry 302 includes one or more of radio frequency (RF) transceiver circuitry 312 and baseband processing circuitry 314.
  • RF radio frequency
  • 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.
  • the communication interface 306 is used in wired or wireless communication of signaling and/or data between a network node, access network, and/or UE.
  • the radio front-end circuitry 318 may receive digital data that is to be sent out to other network nodes or UEs via a wireless connection.
  • the radio front-end circuitry 318 may convert the digital data into a radio signal having the appropriate channel and bandwidth parameters using a combination of filters 320 and/or amplifiers 322.
  • the radio signal may then be transmitted via the antenna 310.
  • the antenna 310 may collect radio signals which are then converted into digital data by the radio front-end circuitry 318.
  • the digital data may be passed to the processing circuitry 302.
  • the communication interface may comprise different components and/or different combinations of components.
  • the antenna 310, the communication interface 306, and/or the processing circuitry 302 may be configured to perform any transmitting operations described herein as being performed by the network node. Any information, data and/or signals may be transmitted to a UE, another network node and/or any other network equipment.
  • the power source 308 provides power to the various components of network node 300 in a form suitable for the respective components (e.g., at a voltage and current level needed for P110739WO01 PCT APPLICATION 42 of 62 each respective component).
  • the power source 308 may further comprise, or be coupled to, power management circuitry to supply the components of the network node 300 with power for performing the functionality described herein.
  • the network node 300 may be connectable to an external power source (e.g., the power grid, an electricity outlet) via an input circuitry or interface such as an electrical cable, whereby the external power source supplies power to power circuitry of the power source 308.
  • the power source 308 may comprise a source of power in the form of a battery or battery pack which is connected to, or integrated in, power circuitry. The battery may provide backup power should the external power source fail.
  • Embodiments of the network node 300 may include additional components beyond those shown in Figure 11 for providing certain aspects of the network node’s functionality, including any of the functionality described herein and/or any functionality necessary to support the subject matter described herein.
  • the network node 300 may include user interface equipment to allow input of information into the network node 300 and to allow output of information from the network node 300. This may allow a user to perform diagnostic, maintenance, repair, and other administrative functions for the network node 300.
  • Figure 12 is a block diagram illustrating a virtualization environment 500 in which functions implemented by some embodiments may be virtualized.
  • virtualizing means creating virtual versions of apparatuses or devices which may include virtualizing hardware platforms, storage devices and networking resources.
  • virtualization can be applied to any device described herein, or components thereof, and relates to an implementation in which at least a portion of the functionality is implemented as one or more virtual components.
  • VMs virtual machines
  • hardware nodes such as a hardware computing device that operates as a network node, UE, core network node, or host.
  • the virtual node does not require radio connectivity (e.g., a core network node or host)
  • the node may be entirely virtualized.
  • Applications 502 (which may alternatively be called software instances, virtual appliances, network functions, virtual nodes, virtual network functions, etc.) are run in the virtualization environment Q400 to implement some of the features, functions, and/or benefits of some of the embodiments disclosed herein.
  • Hardware 504 includes processing circuitry, memory that stores software and/or instructions executable by hardware processing circuitry, and/or other hardware devices as P110739WO01 PCT APPLICATION 43 of 62 described herein, such as a network interface, input/output interface, and so forth.
  • Software may be executed by the processing circuitry to instantiate one or more virtualization layers 506 (also referred to as hypervisors or virtual machine monitors (VMMs)), provide VMs 508a and 508b (one or more of which may be generally referred to as VMs 508), and/or perform any of the functions, features and/or benefits described in relation with some embodiments described herein.
  • virtualization layers 506 also referred to as hypervisors or virtual machine monitors (VMMs)
  • VMMs 508a and 508b one or more of which may be generally referred to as VMs 508
  • the virtualization layer 506 may present a virtual operating platform that appears like networking hardware to the VMs 508.
  • the VMs 508 comprise virtual processing, virtual memory, virtual networking or interface and virtual storage, and may be run by a corresponding virtualization layer 506.
  • Different embodiments of the instance of a virtual appliance 502 may be implemented on one or more of VMs 508, and the implementations may be made in different ways.
  • Virtualization of the hardware is in some contexts referred to as network function virtualization (NFV). NFV may be used to consolidate many network equipment types onto industry standard high volume server hardware, physical switches, and physical storage, which can be located in data centers, and customer premise equipment.
  • NFV network function virtualization
  • a VM 508 may be a software implementation of a physical machine that runs programs as if they were executing on a physical, non-virtualized machine.
  • Each of the VMs 508, and that part of hardware 504 that executes that VM be it hardware dedicated to that VM and/or hardware shared by that VM with others of the VMs, forms separate virtual network elements.
  • a virtual network function is responsible for handling specific network functions that run in one or more VMs 508 on top of the hardware 504 and corresponds to the application 502.
  • Hardware 504 may be implemented in a standalone network node with generic or specific components. Hardware 504 may implement some functions via virtualization.
  • hardware 504 may be part of a larger cluster of hardware (e.g. such as in a data center or CPE) where many hardware nodes work together and are managed via management and orchestration 510, which, among others, oversees lifecycle management of applications 502.
  • hardware 504 is coupled to one or more radio units that each include one or more transmitters and one or more receivers that may be coupled to one or more antennas. Radio units may communicate directly with other hardware nodes via one or more appropriate network interfaces and may be used in combination with the virtual components to provide a virtual node with radio capabilities, such as a radio access node or a base station.
  • some signaling can be provided with the use of a control system 512 which may alternatively be used for communication between hardware nodes and radio units.
  • a control system 512 which may alternatively be used for communication between hardware nodes and radio units.
  • P110739WO01 PCT APPLICATION 44 of 62 the computing devices described herein (e.g., UEs, network nodes, hosts) may include the illustrated combination of hardware components, other embodiments may comprise computing devices with different combinations of components. It is to be understood that these computing devices may comprise any suitable combination of hardware and/or software needed to perform the tasks, features, functions and methods disclosed herein.
  • Determining, calculating, obtaining or similar operations described herein may be performed by processing circuitry, which may process information by, for example, converting the obtained information into other information, comparing the obtained information or converted information to information stored in the network node, and/or performing one or more operations based on the obtained information or converted information, and as a result of said processing making a determination.
  • processing circuitry may process information by, for example, converting the obtained information into other information, comparing the obtained information or converted information to information stored in the network node, and/or performing one or more operations based on the obtained information or converted information, and as a result of said processing making a determination.
  • computing devices may comprise multiple different physical components that make up a single illustrated component, and functionality may be partitioned between separate components.
  • a communication interface may be configured to include any of the components described herein, and/or the functionality of the components may be partitioned between the processing circuitry and the communication interface.
  • non-computationally intensive functions of any of such components may be implemented in software or firmware and computationally intensive functions may be implemented in hardware.
  • some or all of the functionality described herein may be provided by processing circuitry executing instructions stored on in memory, which in certain embodiments may be a computer program product in the form of a non-transitory computer- readable storage medium.
  • some or all of the functionality may be provided by the processing circuitry without executing instructions stored on a separate or discrete device-readable storage medium, such as in a hard-wired manner.
  • the processing circuitry can be configured to perform the described functionality.
  • FIGURE 13 is a flowchart illustrating an example method 1300 in a wireless device, according to certain embodiments. In particular embodiments, one or more steps of FIGURE 13 may be performed by UE 200 described with respect to FIGURE 10.
  • the wireless device is operable to perform beam prediction in a wireless network. P110739WO01 PCT APPLICATION 45 of 62 [0160]
  • the method 1300 may begin at step 1312, where the wireless device (e.g., UE 200) receives a second CSI configuration.
  • the second CSI configuration comprises an indication of beam Set A, an indication of beam Set B, and the second consistency identifier associated with beam Set A and second beam Set B.
  • the wireless device may receive the CSI configuration according to any of the embodiments and examples described herein.
  • the wireless device may measure one or more beams of beam Set B.
  • the wireless device may measure one or more beams of beam Set A.
  • the wireless device may train a beam prediction model (e.g., AI/ML model) based on the measurements of the one or more beams of beam Set B and the measurements of the one or more beams of beam Set A.
  • a beam prediction model e.g., AI/ML model
  • the wireless device may compare any future received consistency identifiers with the consistency identifier associated with the beam prediction model to determine if beam sets associated with the future received consistency identifiers are compatible with the beam prediction model.
  • the previous training steps are optional, because in some embodiments the beam prediction model may be trained elsewhere and then the trained beam prediction model is provided to the wireless device.
  • the wireless device receives a first CSI configuration from a network node.
  • the first CSI configuration comprises an indication of a beam Set A, an indication of a beam Set B, and a first consistency identifier associated with beam Set A and beam Set B.
  • the wireless device may receive the CSI configuration according to any of the embodiments and examples described herein.
  • beam Set B is a subset of beam Set A, or beam Set B is not a subset of beam Set A (e.g., beams Set A is a set of narrow beams and beam Set B is a set of wide beams).
  • the first consistency identifier and the second consistency identifier each comprise a pair of identifiers, one identifier of the pair associated with beam Set A and another identifier of the pair associated with beam Set B.
  • At least one of the indication of beam Set A, the indication of beam Set B, and the first consistency identifier is included in one of: CSI-reportingConfig; CSI- resourceConfig; CSI-resourceSetList; CSI-ResourceList; or CSI-Resource.
  • the second consistency identifier is received in a first RRC session and the first consistency identifier is received in a second RRC session, different from the first RRC session.
  • the second consistency identifier is received in a first cell and the first consistency identifier is received in a second cell, different from the first cell.
  • the second CSI configuration comprises an indication of beam Set A, an indication of beam Set B, and a second consistency identifier associated with beam Set A and beam Set B.
  • P110739WO01 PCT APPLICATION 47 of 62 the network node transmits one or more beams of beam Set B.
  • the network node transmits one or more beams of beam Set A.
  • the wireless device may use the transmitted beams for training a beam prediction model.
  • the network node transmits a first CS, configuration to the wireless device.
  • the first CSI configuration comprises an indication of a beam Set A, an indication of a beam Set B, and a first consistency identifier associated with beam Set A and beam Set B.
  • the first consistency identifier matches a second consistency identifier associated with beam Set A and beam Set B used for training a beam prediction model used by the wireless device.
  • the network node transmits one or more beams of beam Set B.
  • the network node receives predicted measurements for one or more beams of beam Set A from the wireless device. The predicted measurements are based on measurements of one or more beams of beam Set B and the beam prediction model.
  • Modifications, additions, or omissions may be made to method 1400 of FIGURE 14. Additionally, one or more steps in the method of FIGURE 14 may be performed in parallel or in any suitable order. [0182] The foregoing description sets forth numerous specific details.
  • the beam prediction model is configured to predict a beam configuration for the beam set A that leads to a signal quality that is higher than signal qualities due to other beam configurations.
  • the selected one or more beams of the beam set B comprise: one or more synchronization signal block (SSB) beams; one or more narrow beams configured for channel state information (CSI) measurements; or one or more beams activated by a network.
  • SSB synchronization signal block
  • CSI channel state information
  • the one or more beams of the beam P110739WO01 PCT APPLICATION 49 of 62 set B is further selected based at least on: performance of a combination of the beam set A and beam set B; energy cost of the first and second measurements; a battery type of the UE; a service type; a target quality of service (QoS); a device type of the UE; estimated power savings for different omission patterns; or computational capability of the UE. 5.
  • each of the first and second consistency IDs comprises one of: consistency- non-zero-power channel state information reference signal (nzp-CSI-RS)- ResourceId; consistency-nzp-CSI-RS-ResourceSetId; consistency-csi-ReportConfigId,; or and consistency-csi-ResourceConfigId.
  • receiving the beam indication information is in response to transmitting a first message indicating capability of the UE for training the beam prediction model.
  • receiving the beam indication information is in response to transmitting a first message indicating capability of the UE for training the beam prediction model.
  • receiving the beam indication information is in response to transmitting a first message indicating capability of the UE for training the beam prediction model.
  • receiving the beam indication information is in response to transmitting a first message indicating capability of the UE for training the beam prediction model.
  • a method performed by a wireless device comprising: ⁇ any of the wireless device steps, features, or functions described above, either alone or in combination with other steps, features, or functions described above. 10.
  • the method of the previous embodiment further comprising one or more additional wireless device steps, features or functions described above.
  • 11. The method of any of the previous embodiments, further comprising: ⁇ providing user data; and ⁇ forwarding the user data to a host computer via the transmission to the base station.
  • a method performed by a network node for implementing a beam prediction model in a wireless network comprising: transmitting beam indication information regarding 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 represents beams for an inference operation of a beam prediction model, and the beam set B represents beams for a training operation of the beam prediction model; transmitting a first consistency identifier (ID) associated with the beam set A, wherein first the consistency ID indicates whether the beam set A is used by different or same resources on different time instances; P110739WO01 PCT APPLICATION 51 of 62 transmitting a second consistency ID associated with the beam set B, wherein second the consistency ID indicates whether the beam set B is used by different or same resources on different time instances; transmitting a first signal on the beam set A; receiving a measurement on the first signal; transmitting a second signal on the beam set B; receiving a measurement on the second signal; receiving a selection of one or more beams of the beam set B
  • the beam prediction model is configured to predict a beam configuration for the beam set A that leads to a signal quality that is higher than signal qualities due to other beam configurations.
  • the selected one or more beams of the beam set B comprise: one or more synchronization signal block (SSB) beams; one or more narrow beams configured for channel state information (CSI) measurements; or one or more beams activated by a network.
  • SSB synchronization signal block
  • CSI channel state information
  • the one or more beams of the beam set B is further selected based at least on: performance of a combination of the beam set A and beam set B; energy cost of the first and second measurements; a battery type of the UE; a service type; a target quality of service (QoS); a device type of the UE; estimated power savings for different omission patterns; or computational capability of the UE.
  • performance of a combination of the beam set A and beam set B energy cost of the first and second measurements
  • a battery type of the UE a service type; a target quality of service (QoS); a device type of the UE; estimated power savings for different omission patterns; or computational capability of the UE.
  • QoS target quality of service
  • the beam indication information is received within a channel state information (CSI) resource
  • the CSI resource comprises one of: CSI-reportingConfig; CSI-resourceConfig; CSI-resourceSetList; CSI-ResourceList; or CSI-Resource.
  • each of the first and second consistency IDs comprises one of: consistency- non-zero-power channel state information reference signal (nzp-CSI-RS)- ResourceId; consistency-nzp-CSI-RS-ResourceSetId; consistency-csi-ReportConfigId,; or and consistency-csi-ResourceConfigId. 18.
  • receiving the beam indication information is in response to transmitting a first message indicating capability of the UE for training the beam prediction model.
  • receiving the beam indication information is in response to transmitting a first message indicating capability of the UE for training the beam prediction model.
  • receiving the beam indication information is in response to transmitting a first message indicating capability of the UE for training the beam prediction model.
  • receiving the beam indication information is in response to transmitting a first message indicating capability of the UE for training the beam prediction model.
  • receiving the beam indication information is in response to transmitting a first message indicating capability of the UE for training the beam prediction model.
  • a user equipment for implementing a beam prediction model in a wireless network comprising: processing circuitry configured to perform any of the steps of any of the Group A embodiments; and power supply circuitry configured to supply power to the processing circuitry.
  • a network node for implementing a beam prediction model in a wireless network 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.
  • a user equipment for implementing a beam prediction model in a wireless network
  • the UE comprising: an antenna configured to send and receive wireless signals; radio front-end circuitry connected to the antenna and to processing circuitry, and configured to condition signals communicated between the antenna and the processing circuitry; the processing circuitry being configured to perform any of the steps of any of the Group A embodiments; an input interface connected to the processing circuitry and configured to allow input of information into the UE to be processed by the processing circuitry; an output interface connected to the processing circuitry and configured to output information from the UE that has been processed by the processing circuitry; and a battery connected to the processing circuitry and configured to supply power to the UE.

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Abstract

Selon certains modes de réalisation, un procédé est mis en œuvre par un dispositif sans fil pour une prédiction de faisceau. Le procédé consiste à recevoir une première configuration d'informations d'état de canal (CSI) comprenant une indication d'un ensemble de faisceaux A, un ensemble de faisceaux B, et un premier identifiant de cohérence associé aux ensembles de faisceaux A et B. Le procédé consiste en outre à déterminer que le dispositif sans fil prend en charge un modèle de prédiction de faisceau qui utilise l'ensemble B comme entrée et l'ensemble A comme sortie. La détermination est basée sur la correspondance entre un premier identifiant de cohérence et un second identifiant de cohérence associés à des ensembles de faisceaux A et B utilisés pour entraîner le modèle de prédiction de faisceau. Le procédé consiste en outre : à mesurer des faisceaux de l'ensemble B; à prédire des mesures pour des faisceaux de l'ensemble A sur la base des faisceaux mesurés de l'ensemble B et du modèle de prédiction de faisceau; et à rapporter les mesures prédites pour les faisceaux de l'ensemble A au nœud de réseau.
PCT/SE2025/050140 2024-02-19 2025-02-18 Structure de csi étendue pour prédiction de faisceau Pending WO2025178536A1 (fr)

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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20240056844A1 (en) * 2022-08-11 2024-02-15 Nokia Technologies Oy User equipment downlink transmission beam prediction framework with machine learning

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20240056844A1 (en) * 2022-08-11 2024-02-15 Nokia Technologies Oy User equipment downlink transmission beam prediction framework with machine learning

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