Methods for configuring measurement on UE predicted resources

Abstract

A method, system and apparatus are disclosed. A method in a user equipment, UE, configured to configure beam transmission from the network node based on a prediction result from the UE is described. The method includes transmitting, to the network node, a prediction report for a set of beams and receiving, from the network node, a prediction measurement configuration. The prediction measurement configuration instructs the UE to measure one or more beams corresponding to the prediction report. The method also includes measuring and reporting, to the network node, at least one beam of the one or more beams according to the received prediction measurement configuration.

Description

P113305WG01METHODS FOR CONFIGURING MEASUREMENT ON UE PREDICTED RESOURCESTECHNICAL FIELD

[0001] The present disclosure relates to wireless communications, and in particular, to configuration of measurements associated with predicted resources.BACKGROUND

[0002] The Third Generation Partnership Project (3GPP) has developed and is developing standards for Fourth Generation (4G) (also referred to as Long Term Evolution (LTE)) and Fifth Generation (5G) (also referred to as New Radio (NR)) wireless communication systems. Such systems provide, among other features, broadband communication between network nodes, such as base stations, and mobile user equipments (UE), as well as communication between network nodes and between UEs. The 3GPP is also developing standards for Sixth Generation (6G) wireless communication networks.Beam managementBeam management procedure

[0003] In High Frequency Range (FR2), multiple Radio Frequency (RF) beams may be used to transmit and receive signals at a network node (e.g., gNB) and a UE. For each Downlink (DL) beam from the network node (e.g., gNB), there is typically an associated best UE Receiver (UE RX) beam for receiving signals from the DL beam. The DL beam and the associated UE RX beam forms a beam pair. The beam pair can be identified through a beam management process in NR.

[0004] Typically, a DL beam is identified by an associated DL reference signal (RS) transmitted in the beam, either periodically, semi-persistently, or aperiodically. The DL RS for the purpose can be a Synchronization Signal (SS) and Physical Broadcast Channel (PBCH) block (SSB) or a Channel State Information RS (CSLRS). By measuring all the DL RSs, the UE may determine and report to the network node (e.g., gNB) the best DL beam to use for DL transmissions. The network node (e.g., gNB) can then transmit a burst of DL-RS in the reported best DL beam to let the UE evaluate candidate UE RX beams.

[0005] Although not explicitly stated in the NR specification, beam management has been divided into three procedures, schematically illustrated in the example of FIG. 1. The three procedures are described as follows:P113305W001 2• P-1 : The purpose of this procedure is to find a coarse direction for the UE using wide gNB Transmitter (gNB TX) beams, covering the whole angular sector. • P-2: The purpose of this procedure is to refine the gNB TX beam by performing a new beam search around the coarse direction found in P-1.• P-3: This procedure is used for UE that has analog beamforming to let the UE find a suitable UE RX beam.

[0006] P-1 is expected to utilize beams with rather large beamwidths and where the beam reference signals are transmitted periodically and are shared between all UEs of the cell. Typically, the reference signal to use for P-1 are periodic CSI-RS or SSB. The UE then reports the N best beams to the network node (e.g., gNB) and their corresponding Reference Signal Received Power (RSRP) values.

[0007] P-2 is expected to use aperiodic or semi-persistent CSI-RS transmitted in narrow beams around the coarse direction found in P-1.

[0008] P-3 is expected to use aperiodic or semi-persistent CSI-RSs repeatedly transmitted in one narrow gNB beam (i.e., a narrow beam transmitted by the network node). One alternative is to let the UE determine a suitable UE RX beam based on the periodic SSB transmission. Since each SSB includes four Optical Frequency Division Multiplex (OFDM) symbols, a maximum of four UE RX beams can be evaluated during each SSB burst transmission. One benefit of using SSB, instead of CSI-RS, is that no extra overhead of CSI-RS transmission is needed.Beam indication

[0009] In NR, several signals can be transmitted from different antenna ports of the same base station (i.e., network node). These signals can have the same large-scale properties such as Doppler shift / spread, average delay spread, or average delay. These antenna ports are then said to be quasi co-located (QCL).

[0010] If the UE knows (or may determine) that two antenna ports are QCL with respect to a certain parameter (e.g., Doppler spread), the UE can estimate that parameter based on one of the antenna ports and apply that estimate for receiving signals on the other antenna port. For example, there may be a QCL relation between a CSI-RS for Tracking RS (TRS) and the Physical Downlink Shared Channel (PDSCH) Demodulation Reference Signal (DMRS). When the UE receives the PDSCH DMRS, the UE may use the measurements already made on the TRS to assist with the DMRS reception.

[0011] Information about what assumptions can be made regarding QCL may be signaled toP113305WG01 3the UE from the network node. In NR, four types of QCL relations between a transmitted source RS and transmitted target RS may be defined as follows:• Type A: {Doppler shift, Doppler spread, average delay, delay spread}• Type B: {Doppler shift, Doppler spread}• Type C: {average delay, Doppler shift}• Type D: {Spatial Rx parameter}

[0012] QCL type D was introduced in NR to facilitate beam management with analog beamforming and is referred to as spatial QCL. There is currently no strict definition of spatial QCL, but the understanding is that if two transmitted antenna ports are spatially QCL, the UE can use the same RX beam to receive them. This may be helpful for a UE that uses analog beamforming to receive signals, since the UE needs to adjust the UE RX beam in some direction prior to receiving a certain signal. If the UE determines that the signal is spatially QCL with some other signal the UE has received earlier, then the UE can safely use the same RX beam to receive also this signal.

[0013] In NR, the spatial QCL relation for a DL or Uplink (UL) signal / channel may be indicated to the UE by using a “beam indication.” The “beam indication” may be used to help the UE to find a suitable RX beam for DL reception and / or a suitable TX beam for UL transmission. In NR, the “beam indication” for DL is conveyed to the UE by indicating a Transmission Configuration Indicator (TCI) state to the UE, while in UL the “beam indication” may be conveyed by indicating a DL-RS or UL-RS as spatial relation (in 3GPP NR Release 15 / 16 (Rel-15 / 16)) or a TCI state (in 3GPP NR Release 17 (Rel-17)).Beam management with unified TCI framework

[0014] In NR, downlink beam management is performed by conveying spatial QCL (‘Type D’) assumptions to the UE through TCI states.

[0015] In NR Rel-15 or Rel-16, for Physical Downlink Control Channel (PDCCH), the network node configures the UE with a set of PDCCH TCI states by Radio Resource Control (RRC) and then activates one TCI state per Control Resource Ret (CORESET) using Medium Access Control (MAC) Control Element (CE). For PDSCH beam management, the network node configures the UE with a set of PDSCH TCI states by RRC and then activates up to 8 TCI states by MAC CE. After activation, the network node dynamically indicates one of these activated TCI states using a TCI field in Download Control Information (DCI) when scheduling PDSCH. The term “network node” may refer to the term network (NW).

[0016] Such a framework allows great flexibility for the network node to instruct the UE toP113305WG01 4receive signals from different spatial directions in DL, but with the costs of large signaling overhead and slow beam switching. These limitations are particularly noticeable and costly when UE movement is considered. One example is that beam update using DCI can only be performed for PDSCH, and MAC-CE and / or RRC is required to update the beam for other reference signals and / or channels, which cause extra overhead and latency.

[0017] Further, in the majority of typical cases, the network node transmits to and receives from a UE in the same direction for both data and control. Hence, using a separate framework (TCI state respective spatial relations) for different channels and / or signals complicates the implementations .

[0018] In 3GPP Rel-17, a common beam framework was introduced to simplify beam management in FR2, in which a common beam represented by a TCI state may be activated and / or indicated to a UE, and the common beam is applicable for multiple channels and / or signals such as PDCCH and PDSCH. The common beam framework is also referred to as a unified TCI state framework. This framework can be RRC configured in one of two modes of operation, i.e., “Joint DL / UL TCI” or “Separate DL / UL TCI.” For “Joint DL / UL TCI”, one common Joint TCI state is used for both DL and UL signals and / or channels. For “Separate DL / UL TCI”, one common DL-only TCI state is used for DL channels and / or signals, and one common UL-only TCI state is used for UL signals and / or channels.

[0019] A unified TCI state can be updated in a similar way as the TCI state update for PDSCH in 3GPP Rel-15 / 16, e.g., with one of two alternatives:• Two-stage: RRC signaling is used to configure a number of unified TCI states in higher layer parameter PDSCH-config, and a MAC-CE is used to activate one of unified TCI states.• Three-stage: RRC signaling is used to configure a number of unified TCI states in PDSCH-config, a MAC-CE is used to activate up to 8 unified TCI states, and a 3- bit TCI state bitfield in DCI is used to indicate one of the activate unified TCI states.

[0020] The one activated or indicated unified TCI state may be used in both subsequent PDCCH and PDSCH transmissions until a new unified TCI state is activated or indicated.

[0021] The existing DCI formats 1_1 and 1_2 are reused for beam indication, both with and without DL assignment. For DCI formats 1_1 and 1_2 with DL assignment, Acknowledgment (ACK) and / or Negative ACK (NACK) of the PDSCH may be used as indication of successful reception of beam indication. For DCI formats 1_1 and 1_2 without DL assignment, anotherP113305W001 5ACK / NACK mechanism analogous to that for Semi Persistent Scheduling (SPS) PDSCH release with both type-1 and type-2 Hybrid Automatic Repeat Request ACK (HARQ-ACK) codebook may be used, where upon a successful reception of the beam indication DCI, the UE reports an ACK.

[0022] When the network node (e.g., gNB) indicates a TCI state change to the UE, there may be a delay for the UE to apply the indicated TCI state change. This delay is referred to as TCI state switch delay, which may be MAC-CE based TCI state switch delay, DCI based TCI state switch delay, or RRC based TCI state switch delay, depending on the signaling (MAC-CE, DCI, or RRC) used to indicate the TCI state switch. For example, for DCI-based beam indication, the DCI based TCI state switch delay is defined as follows:• If the target TCI state is known, when a UE is configured with the higher layer parameter tci-PresentlnDCI which is set as 'enabled' for the CORESET scheduling PDSCH at slot n, the UE may be able to receive a PDSCH with a target TCI state of the serving cell on which TCI state switch occurs at the first slot that is after slot xt+ timeDurationForQCL. The timeDurationForQCL is the time required by the UE to perform a PDCCH reception, and applying spatial QCL information received in DCI for PDSCH processing), the value of timeDurationForQCL is RRC configured for SCS of 60 kHz and 120 kHz, respectively.Reference signalReference signal configurationsCSLRS:

[0023] A CSI-RS is transmitted, over each TX antenna port at the network node, and for different antenna ports. The CSI-RS are multiplexed in time, frequency, and code domain such that the channel between each Tx antenna port at the network node and each receive antenna port at a UE can be measured by the UE. The time-frequency resource used for transmitting CSI-RS is referred to as a CSI-RS resource.

[0024] In NR, the CSI-RS for beam management has been defined as a 1-port or 2-port CSI-RS resource in a CSI-RS resource set where the RRC parameter “repetition” is present. The following three types of CSI-RS transmissions are supported:Periodic CSI-RS: CSI-RS is transmitted periodically in certain slots. This CSI-RS transmission is semi-statically configured using RRC signaling with parameters such as CSI-RS resource, periodicity, and slot offset.P113305W001 6• Semi-Persistent CSI-RS: Similar to periodic CSI-RS, resources for semi-persistent CSI-RS transmissions are semi-statically configured using RRC signaling with parameters such as periodicity and slot offset. However, unlike periodic CSI-RS, dynamic signaling is needed to activate and deactivate the CSI-RS transmission.• Aperiodic CSI-RS: This is a one-shot CSI-RS transmission that can happen in any slot. In this context, the term “one-shot” refers to that CSI-RS transmission only happening once per trigger. The CSI-RS resources (i.e., the Resource Element (RE) locations which may include subcarrier locations and OFDM symbol locations) for aperiodic CSI-RS are semi-statically configured. The transmission of aperiodic CSI-RS is triggered by dynamic signaling through PDCCH using the CSI request field in UL DCI, in the same DCI where the UL resources for the measurement report are scheduled. Multiple aperiodic CSI-RS resources can be included in a CSI-RS resource set and the triggering of aperiodic CSI-RS is on a resource set basis.SSB:

[0025] In NR, an SSB may include a pair of synchronization signals (SSs), physical broadcast channel (PBCH), and DMRS for PBCH. An SSB is mapped to four consecutive OFDM symbols in the time domain and 240 contiguous subcarriers (20 Resource Blocks (RBs)) in the frequency domain.

[0026] To support beamforming and beam-sweeping for SSB transmission, in NR, a cell can transmit multiple SSBs in different narrow-beams in a time multiplexed fashion. The transmission of these 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 broadcast 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).

[0027] The maximum number of SSBs within a half frame, denoted by L, may depend on the frequency band, and the time locations for these L candidate SSBs within a half frame depends on the Subcarrier Spacing (SCS) of the SSBs. The L candidate SSBs within a half frame may be indexed in an ascending order in time from 0 to L-l. By successfully detecting PBCH and its associated DMRS, a UE may know (or determine) the SSB index. A cell does not necessarily transmit SS / PBCH blocks in all L candidate locations in a half frame, and the resource of theP113305W001 7unused candidate positions can be used for the transmission of data or control signaling instead. It may be 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.Measurement resource configurations

[0028] In NR, a UE can be configured with N>1 CSI reporting settings (e.g., CSI-ReportConfig). M>1 resource settings (e.g., CSI-ResourceConfig), where each CSI reporting setting may be linked to one or more resource setting for channel and / or interference measurement. The CSI framework may be modular. That is, several CSI reporting settings may be associated with the same Resource Setting.

[0029] The measurement resource configurations for beam management may be provided to the UE by RRC Information Elements (IES) CSI-ResourceConfigs. One CSI-ResourceConfig may include several Non-Zero Power CSI RS Resource Sets (NZP-CSI-RS-ResourceSets) and / or CSI SSB ResourceSets (CSI-SSB-ResourceSets).

[0030] Further, a UE may be configured to perform measurements on CSI-RSs. The RRC IE NZP-CSI-RS-ResourceSet may be used. A NZP CSI-RS resource set may include the configuration of Ks >1 CSI-RS resources, where the configuration of each CSI-RS resource includes at least: mapping to REs, the number of antenna ports, time-domain behavior, etc. Up to 64 CSI-RS resources may be grouped to an NZP-CSI-RS-ResourceSet. A UE may also be configured to perform measurements on SSBs, and the RRC IE CSI-SSB-ResourceSet may be used. Resource sets comprising SSB resources may be defined in a similar manner.

[0031] In the case of aperiodic CSI-RS and / or aperiodic CSI reporting, the network node may configure the UE with ScCSI triggering states. Each triggering state contains the aperiodic CSI report setting to be triggered along with the associated aperiodic CSI-RS resource sets.

[0032] Periodic and semi-persistent Resource Settings can only comprise a single resource set (i.e., S=l ), while S>=l for aperiodic Resource Settings. This may be because, in the aperiodic case, one out of the S resource sets comprised in the Resource Setting is indicated by the aperiodic triggering state that triggers a CSI report.Measurement ReportingThe following three types of CSI reporting may be supported in NR:• Periodic CSI Reporting on PUCCH: CSI is reported periodically by the UE.Parameters, such as periodicity and slot offset, are configured semi-statically by higher layer RRC signaling from the network node to the UE.• Semi-Persistent CSI Reporting on PUSCH or PUCCH: Similar to periodic CSIP113305W001 8reporting, semi-persistent CSI reporting has a periodicity and slot offset which may be semi-statically configured. However, a dynamic trigger from network node to UE may be needed to allow the UE to begin semi-persistent CSI reporting. A dynamic trigger from network node to UE may be needed to request the UE to stop the semi-persistent CSI reporting.• Aperiodic CSI Reporting on PUSCH: This type of CSI reporting involves a single-shot (i.e., one time) CSI report by a UE which is dynamically triggered by the network node using DO. Some of the parameters related to the configuration of the aperiodic CSI report are semi-statically configured by RRC, but the triggering is dynamic.

[0033] In each CSI reporting setting, the content and time-domain behavior of the report may be defined, along with the linkage to the associated Resource Settings. The CSI-ReportConfig IE may comprise the following configurations:• reportConfigTypeo Defines the time-domain behavior, i.e., 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. • reportQuantityo Defines the reported CSI parameter(s) (i.e., the CSI content), such as Precoding Matrix Index (PMI), Channel Quality Indication (CQI), Rank Indicator (RI), Layer Indicator (LI), CSI-RS Resource Index (CRI) and Layer 1 Reference Signal Receive Power (Ll-RSRP). Only a certain number of combinations are possible (e.g. ‘cri-RI-PMI-CQI’ is one possible value, and ‘cri-RSRP’ is another), and each value of reportQuantity may correspond to a certain CSI mode.• codebookConfigo Defines the codebook used for PMI reporting, along with possible codebook subset restriction (CBSR). Two “Types” of PMI codebook are defined in NR, Type I CSI and Type II CSI, and each codebook type further has two variants each.• reportFrequency Configurationo Defines the frequency granularity of PMI and CQI (wideband or subband), if reported, along with the CSI reporting band, which is aP113305WG01 9subset of subbands of the bandwidth part (BWP) which the CSI corresponds to.• Measurement restriction in time domain (ON / OFF) for channel and interference respectively.

[0034] For beam management, a UE can be configured to report Ll-RSRP for up to four different CSI-RS / SSB resource indicators. The reported RSRP value corresponding to the first (best) CRPSSBRI requires 7 bits, using absolute values, while the others require 4 bits using encoding relative to the first. In NR release 16, the report of Ll-SINR for beam management has already been supported.3GPP Release 19 (Rel-19) support for beam prediction in NROverview

[0035] In 3GPP Release 18 (Rel-18) and earlier releases, the support for measurement of a set of resources have been standardized. Where for mmWave beam management, each resource in a set of resources is typically transmitted with a different beam. In Rel-19, support have been added to also support the UE providing predictions of a set of resources (i.e., a set of beams). The predicted set of resources are denoted the Set A of beams (i.e., set A resource set). The predictions are based on UE measurements on a set B of beams (i.e., a set B of resources), where the measurements are performed using legacy measurement procedures. The Set B of beams may either be a subset of the Set A of beams, or the set A of beams may include different beams compared to the Set B of beams. For example, Set A may include narrow beams, and Set B may include wide beams. FIG. 2 shows examples of Set A and Set B of beams, where Set B is different from Set A. More specifically, Set B of beams are wide network node beams, and the Set A of beams are the narrow network node beams (e.g., narrow gNB beams). FIG. 3 shows examples of Set A beams and Set B of beams, where Set B is a subset of Set A of beams. Both Set B and Set A of beams are the narrow gNB beams.

[0036] In Rel-19, BM Case 1 refers to the case where the UE predicts the set A of beams in the same time instance as the measurement of set B. In addition to the BM-Casel, Rel-19 may also support UE-based temporal (referred to as BM-Case2) beam prediction for a Set A of beams based on measurement results of Set B of beams, where the Set A of beams and Set B of beams can be the same set of beams or different set of beams. That is, for temporal beam prediction, the UE may provide predictions of the set A of beams in a future time instance (e.g., 80 ms ahead of last set B measurements). For Artificial Intelligence and / or Machine Learning (AI / ML) based temporal beam prediction, the measurement results of K (K > 1) latestP113305WG01 10measurement instances during a time window, Tl, of the Set B beams may be used for AI / ML model input.

[0037] FIG. 4 shows an example of the inference procedure for beam management supported by 3GPP Rel-19. More specifically, an example for the inference procedure for beam management for BM-Case 1 and BM-Case2 is provided. Measurements based on a Set B of beams may be used as model input. Based on model output (e.g., probability of each beam in Set A to be the Top-1 beam, predicted Ll-RSRPs), Top-l / N beam(s) among Set A of beams can be predicted and / or potentially with predicted Ll-RSRPs (e.g., depending on the labeling). For BM-Case2, the measurements from historic time instance(s) may be used as model input for temporal DL beam prediction of beams from Set ARel-19 Configuration of set A and setB

[0038] The configuration of set A and set B may be performed via extension of the CSI report configuration. The Set A (e.g., predicted beams) are configured via a field that indicates that these are the resources to be predicted by the device, and another field that indicates the Set B resources that are to be measured by the device (e.g., used as input to the model). Additionally, the configuration of an “associated ID” may be part of the CSI report configuration. Such associated ID may be used by the network node to indicate the network node properties of the beams that is transmitted on each set of resources, which may be used for the UE to first collect measurements, train the beam prediction model, and then use the associated ID during the inference stage. FIG. 5 shows an example UE inference report configuration specified using agreed 3GPP signaling by including an indication of the Set B (e.g., measurement resources) and the Set A (e.g., prediction resources).P-2 procedure with beam predictions

[0039] In some cases, the UE prediction report of more than one beam may be needed for accurately finding the strongest beam, which may imply that the UE reports the K predicted strongest beams, and then the network node configures a Top-K measurement, e.g., as shown in FIG. 6. More specifically, FIG. 6 shows an overview of the basic inference steps of AI / ML spatial beam prediction. The Top-K beam measurement may correspond to the P-2 procedure in the legacy framework.

[0040] FIGS. 7 and 8 show examples of how a large number of possible Top-K configurations (e.g., quantity of configurations that exceed a predetermined threshold) with AI / ML may be complex for the network node to configure using legacy CSI framework. In the conventional P-2 procedure, e.g., when using hierarchical beamforming in FIG. 7, the network node has aP113305WG01 11limited number of narrow beam measurement combinations during P-2. For example, the network node can configure a limited set of aPeriodicTriggerStates to enable UE to measure the narrow beams within each wide beam, where the main difference of the aPeriodicTriggerStates is the qcl-info for each state. With the introduction of AI / ML beam predictions, one possibility is that the Top-K narrow beams are part of separate wide beams, as shown in FIG. 8. However, it is not clear how the network node can indicate the subset of set A beams that are part of the top-K beam measurements within the CSI framework. This information may be needed for the UE to understand which TCI state to apply for its Top-K measurements. Steps may be performed to provide such information. For example, the network node may transmit Top-K beams according to the UE predictions or use the existing CSI framework. However, these steps may require complex CSI-resource configuration by the network node.

[0041] In current 3GPP specifications, the TCI state IDs providing qcl-info for the resources triggered are semi-statically configured per CSl-AssociatedReportConfiglnfo. Therefore, depending on the which beams the UE predicts as Top-K beams, it may not be possible to indicate the TCI state IDs providing qcl-info for the Top-K beams via the existing mechanism as not all combinations of Top-K beams can be taken into account when configuring CSI-AssociatedReportConfiglnfo. The semi-static configuration of QCL relations in the CSI-AssociatedReportConfiglnfo can make it challenging for the network node to configure any combination of Top-K beams, according to FIGS. 7 and 8. Further, a dynamic number of K due to different uncertainty in UE / NW predictions may be challenging to configure without substantially increasing the signaling overhead.

[0042] In addition, some conventional methods include the transmission of the beams that are predicted by the UE. However, the configuration of the transmission of such beams is an open problem in terms of how UE determines that the network node is transmitting beams based on the UE predictions, and the ordering of how the beams are transmitted. In case the beams are transmitted in random order, excessive RX beam switching at the UE may be implied, leading to energy inefficiencies and / or longer measurement occasions needed due to the TCI state switch delay.SUMMARY

[0043] Some embodiments advantageously provide methods, systems, and apparatuses for configuring one or more measurements associated with one or more resources (e.g., resourcesP113305W001 12predicted by the UE).

[0044] One or more embodiments provide a method for configuring a measurement occasion that is based on UE prediction results. The configuration may include linking the measurement occasion to a UE prediction result report and an indication of the TCI states that the UE can assume for the measurements. The linking includes which of the time occasions that are linked in case of UE temporal beam prediction. Some other embodiments provide for efficient configuration to the UE, for example, supporting transmitting the beams in the ascending and / or descending order of the TCI states, minimizing the possible RX beam switches at the UE, which may lead to simplified processing at the UE. Some other embodiments provide support for filtering the prediction result report to only include a subset of such prediction result report for the subsequent measurement occasion, thereby leading to more efficient use of the measurement resources than conventional methods.

[0045] One or more embodiments provide linking a measurement occasion to a UE prediction report, thereby enabling the network node to find the strongest beam among the UE predicted beams, which leads to improved quality of service for the UE. The linking supports the temporal beam prediction scenario. The linking mitigates a possible ambiguity at the UE associated with a possible prediction time instance. The possible prediction time instance corresponds to a subsequent measurement.

[0046] One or more embodiments allow the network node to sweep beams according to the order of the TCI states, thereby leading to less UE RX switching and improved UE operational efficiency when compared to conventional methods. In some embodiments, the UE prediction report is filtered, which enables the network node to transmit fewer beams in the measurement occasion.

[0047] According to one aspect of the present disclosure, a method in a user equipment, UE, configured to configure beam transmission from the network node based on a prediction result from the UE is provided. A prediction report for a set of beams is transmitted to the network node. A prediction measurement configuration is received from the network node, where the prediction measurement configuration instructs the UE to measure one or more beams corresponding to the prediction report. At least one beam of the one or more beams is measured and reported to the network node according to the received prediction measurement configuration.

[0048] According to one or more embodiments of this aspect, the prediction measurement configuration includes a reference to a UE prediction configuration.

[0049] According to one or more embodiments of this aspect, the UE prediction configurationP113305W001 13includes a channel state information report configuration, CSI-ReportConfig, with a predetermined first channel state information report configuration identifier, CSI-ReportConfig ID, and the prediction measurement configuration of the UE is a second CSI-ReportConfig with a second CSI-reportConfig ID, the second CSI-ReportConfig including a reference to the first CSI-ReportConfig ID.

[0050] According to one or more embodiments of this aspect, the prediction measurement configuration includes a reference to one or more UE time instances from the prediction report that a prediction measurement corresponds to.

[0051] According to one or more embodiments of this aspect, the one or more beams corresponding to the prediction report are received form the network node in an order of a transmission configuration indicator state identifier, TCI-state ID, where the TCI state ID is configured as part of a network node configuration of one or more resources that the UE is to predict.

[0052] According to one or more embodiments of this aspect, two or more beams are received from the network node when the two or more beams have the same TCI state ID in an order of a beam identifier, where the same TCI state ID is usable by the UE to identify the two or more beams, and where the beam identifier is a Channel State Information Reference Signal, CSI-RS, Resource Indicator, CRI, of a resource set that is predicted in a prediction result from the UE.

[0053] According to one or more embodiments of this aspect, the prediction measurement configuration indicates that the UE is to measure at least two beams of the one or more beams in the same order as reported in the prediction report.

[0054] According to one or more embodiments of this aspect, the prediction measurement configuration indicates that the UE is to measure K first beams in the prediction report.

[0055] According to one or more embodiments of this aspect, the prediction measurement configuration indicates that the UE is to measure at least one beam of the one or more beams that is within a reference signal received power, RSRP, threshold of the strongest beam in the prediction report.

[0056] According to one or more embodiments of this aspect, the prediction report includes a probability of a beam being the strongest beam, and the prediction measurement configuration indicates that the UE is to measure at least one beam having the highest probability of the strongest beam such that a summed probability is above a predetermined threshold value.

[0057] According to one or more embodiments of this aspect, one or both of: a second measurement configuration is received and only two or more beams in a first measurementP113305W001 14configuration is measured according to a predetermined rule; and the predetermined rule instructing the UE to measure only the beams in the first measurement configuration that have TCI states that are different to the TCI states of the second measurement configuration.

[0058] According to one or more embodiments of this aspect, the prediction measurement configuration comprises an aperiodic report configured in an associated report configuration.

[0059] According to one or more embodiments of this aspect, the prediction measurement configuration comprises an aperiodic report configured via radio resource control, RRC.

[0060] According to one or more embodiments of this aspect, the measurement configuration comprises a semi-persistent report configured in medium access control, MAC, control element, CE.

[0061] According to another aspect of the present disclosure, a user equipment, UE, configured to configure beam transmission from the network node based on a prediction result from the UE is provided. The UE is configured to: transmit, to network node, a prediction report for a set of beams; receive, from the network node, a prediction measurement configuration, where the prediction measurement configuration instructs the UE to measure one or more beams corresponding to the prediction report; and measure and report, to the network node, at least one beam of the one or more beams according to the received prediction measurement configuration.

[0062] According to one or more embodiments of this aspect, the prediction measurement configuration includes a reference to a UE prediction configuration.

[0063] According to one or more embodiments of this aspect, the UE prediction configuration includes a channel state information report configuration, CSI-ReportConfig, with a predetermined first channel state information report configuration identifier, CSI-ReportConfig ID, and the prediction measurement configuration of the UE is a second CSI-ReportConfig with a second CSI-reportConfig ID, the second CSI-ReportConfig including a reference to the first CSI-ReportConfig ID.

[0064] According to one or more embodiments of this aspect, the prediction measurement configuration includes a reference to one or more UE time instances from the prediction report that a prediction measurement corresponds to.

[0065] According to one or more embodiments of this aspect, the UE is further configured to: receive, from the network node, the one or more beams corresponding to the prediction report in an order of a transmission configuration indicator state identifier, TCI-state ID, the TCI state ID being configured as part of a network node configuration of one or more resources that the UE is to predict.P113305W001 15

[0066] According to one or more embodiments of this aspect, the UE is further configured to: receive, from the network node, two or more beams when the two or more beams have the same TCI state ID in an order of a beam identifier, where the same TCI state ID is usable by the UE to identify the two or more beams, the beam identifier being a Channel State Information Reference Signal, CSI-RS, Resource Indicator, CRI, of a resource set that is predicted in a prediction result from the UE.

[0067] According to one or more embodiments of this aspect, the prediction measurement configuration indicates that the UE is to measure at least two beams of the one or more beams in the same order as reported in the prediction report.

[0068] According to one or more embodiments of this aspect, the prediction measurement configuration indicates that the UE is to measure K first beams in the prediction report.

[0069] According to one or more embodiments of this aspect, the prediction measurement configuration indicates that the UE is to measure at least one beam of the one or more beams that is within a reference signal received power, RSRP, threshold of the strongest beam in the prediction report.

[0070] According to one or more embodiments of this aspect, the prediction report includes a probability of a beam being the strongest beam, and the prediction measurement configuration indicates that the UE is to measure at least one beam having the highest probability of the strongest beam such that a summed probability is above a predetermined threshold value.

[0071] According to one or more embodiments of this aspect, one or both of: the UE is further configured to receive a second measurement configuration and measure only two or more beams in a first measurement configuration according to a predetermined rule; and the predetermined rule instructing the UE to measure only the beams in the first measurement configuration that have TCI states that are different to the TCI states of the second measurement configuration.

[0072] According to one or more embodiments of this aspect, the prediction measurement configuration comprises an aperiodic report configured in an associated report configuration.

[0073] According to one or more embodiments of this aspect, the prediction measurement configuration comprises an aperiodic report configured via radio resource control, RRC.

[0074] According to one or more embodiments of this aspect, the measurement configuration comprises a semi-persistent report configured in medium access control, MAC, control element, CE.

[0075] According to another aspect of the present disclosure, a method in a network node configured to communicate with a user equipment, UE, where the UE is configured toP113305W001 16configure beam transmission from the network node based on a prediction result from the UE. A prediction report for a set of beams is received form the UE. A prediction measurement configuration is transmitted to the UE based on the prediction report, where the prediction measurement configuration instructs the UE to measure one or more beams corresponding to the prediction report. A prediction measurement report is received from the UE where the prediction measurement report includes information about at least one beam of the one or more beams according to the received prediction measurement configuration. One or more actions are performed based on the prediction measurement report.

[0076] According to one or more embodiments of this aspect, the prediction measurement configuration includes a reference to a UE prediction configuration.

[0077] According to one or more embodiments of this aspect, the UE prediction configuration includes a channel state information report configuration, CSI-ReportConfig, with a predetermined first channel state information report configuration identifier, CSI-ReportConfig ID, and the prediction measurement configuration of the UE is a second CSI-ReportConfig with a second CSI-reportConfig ID, the second CSI-ReportConfig including a reference to the first CSI-ReportConfig ID.

[0078] According to one or more embodiments of this aspect, the prediction measurement configuration includes a reference to one or more UE time instances from the prediction report that a prediction measurement corresponds to.

[0079] According to one or more embodiments of this aspect, the one or more actions include: transmitting, to the UE, the one or more beams corresponding to the prediction report in an order of a transmission configuration indicator state identifier, TCI-state ID, the TCI state ID being configured as part of a network node configuration of one or more resources that the UE is to predict.

[0080] According to one or more embodiments of this aspect, two or more beams are transmitted to the UE when the two or more beams have the same TCI state ID in an order of a beam identifier, where the same TCI state ID is usable by the UE to identify the two or more beams, and where the beam identifier is a Channel State Information Reference Signal, CSI-RS, Resource Indicator, CRI, of a resource set that is predicted in a prediction result from the UE.

[0081] According to one or more embodiments of this aspect, the prediction measurement configuration indicates that the UE is to measure at least two beams of the one or more beams in the same order as reported in the prediction report.

[0082] According to one or more embodiments of this aspect, the prediction measurementP113305W001 17configuration indicates that the UE is to measure K first beams in the prediction report.

[0083] According to one or more embodiments of this aspect, the prediction measurement configuration indicates that the UE is to measure at least one beam of the one or more beams that is within a reference signal received power, RSRP, threshold of the strongest beam in the prediction report.

[0084] According to one or more embodiments of this aspect, the prediction report includes a probability of a beam being the strongest beam, and the prediction measurement configuration indicates that the UE is to measure at least one beam having the highest probability of the strongest beam such that a summed probability is above a predetermined threshold value.

[0085] According to one or more embodiments of this aspect, one or both of: a second measurement configuration for the UE to measure only two or more beams in a first measurement configuration according to a predetermined rule is transmitted; and the predetermined rule instructing the UE to measure only the beams in the first measurement configuration that have TCI states that are different to the TCI states of the second measurement configuration.

[0086] According to one or more embodiments of this aspect, the prediction measurement configuration comprises an aperiodic report configured in an associated report configuration.

[0087] According to one or more embodiments of this aspect, the prediction measurement configuration comprises an aperiodic report configured via radio resource control, RRC.

[0088] According to one or more embodiments of this aspect, the measurement configuration comprises a semi-persistent report configured in medium access control, MAC, control element, CE.

[0089] According to another aspect of the present disclosure, a network node configured to communicate with a user equipment, UE, where the UE is configured to configure beam transmission from the network node based on a prediction result from the UE. The network node is configured to: receive, from the UE, a prediction report for a set of beams; transmit, to the UE, a prediction measurement configuration to the UE based on the prediction report, the prediction measurement configuration instructing the UE to measure one or more beams corresponding to the prediction report; receive, from the UE, a prediction measurement report including information about at least one beam of the one or more beams according to the received prediction measurement configuration; and perform one or more actions based on the prediction measurement report.

[0090] According to one or more embodiments of this aspect, the prediction measurement configuration includes a reference to a UE prediction configuration.P113305W001 18

[0091] According to one or more embodiments of this aspect, the UE prediction configuration includes a channel state information report configuration, CSI-ReportConfig, with a predetermined first channel state information report configuration identifier, CSI-ReportConfig ID, and the prediction measurement configuration of the UE is a second CSI-ReportConfig with a second CSI-reportConfig ID, the second CSI-ReportConfig including a reference to the first CSI-ReportConfig ID.

[0092] According to one or more embodiments of this aspect, the prediction measurement configuration includes a reference to one or more UE time instances from the prediction report that a prediction measurement corresponds to.

[0093] According to one or more embodiments of this aspect, the network node is configured to perform one or more actions includes: the network node being further configured to transmit, to the UE, the one or more beams corresponding to the prediction report in an order of a transmission configuration indicator state identifier, TCI-state ID, where the TCI state ID is configured as part of a network node configuration of one or more resources that the UE is to predict.

[0094] According to one or more embodiments of this aspect, the network node is further configured to: transmit, to the UE, two or more beams when the two or more beams have the same TCI state ID in an order of a beam identifier, where the same TCI state ID is usable by the UE to identify the two or more beams, and where the beam identifier is a Channel State Information Reference Signal, CSI-RS, Resource Indicator, CRI, of a resource set that is predicted in a prediction result from the UE.

[0095] According to one or more embodiments of this aspect, the prediction measurement configuration indicates that the UE is to measure at least two beams of the one or more beams in the same order as reported in the prediction report.

[0096] According to one or more embodiments of this aspect, the prediction measurement configuration indicates that the UE is to measure K first beams in the prediction report.

[0097] According to one or more embodiments of this aspect, the prediction measurement configuration indicates that the UE is to measure at least one beam of the one or more beams that is within a reference signal received power, RSRP, threshold of the strongest beam in the prediction report.

[0098] According to one or more embodiments of this aspect, the prediction report includes a probability of a beam being the strongest beam, and the prediction measurement configuration indicates that the UE is to measure at least one beam having the highest probability of the strongest beam such that a summed probability is above a predetermined threshold value.P113305WG01 19

[0099] According to one or more embodiments of this aspect, one or both of: the network node is further configured to transmit a second measurement configuration for the UE to measure only two or more beams in a first measurement configuration according to a predetermined rule; and the predetermined rule instructing the UE to measure only the beams in the first measurement configuration that have TCI states that are different to the TCI states of the second measurement configuration.

[0100] According to one or more embodiments of this aspect, the prediction measurement configuration comprises an aperiodic report configured in an associated report configuration.

[0101] According to one or more embodiments of this aspect, the prediction measurement configuration comprises an aperiodic report configured via radio resource control, RRC.

[0102] According to one or more embodiments of this aspect, the measurement configuration comprises a semi-persistent report configured in medium access control, MAC, control element, CE.BRIEF DESCRIPTION OF THE DRAWINGS

[0103] A more complete understanding of the present embodiments, and the attendant advantages and features thereof, will be more readily understood by reference to the following detailed description when considered in conjunction with the accompanying drawings wherein:

[0104] FIG. 1 shows example beam management procedures;

[0105] FIG. 2 shows examples of Set A and Set B of beams, where Set B is different from Set A;

[0106] FIG. 3 shows examples of Set A beams and Set B of beams, where Set B is a subset of Set A of beams. Both Set B and Set A of beams are the narrow gNB beams;

[0107] FIG. 4 shows an example of the inference procedure for beam management supported by Rel-19;

[0108] FIG. 5 shows an example UE inference report configuration specified using agreed 3GPP signaling by including an indication of the Set B (e.g., measurement resources) and the Set A (e.g., prediction resources);

[0109] FIG. 6 shows an overview of the basic inference steps of AI / ME spatial beam prediction;

[0110] FIGS. 7 and 8 show examples of how a large number of possible Top-K configurations (e.g., quantity of configurations that exceed a predetermined threshold) with AI / ME may be complex for the network node to configure using legacy CSI framework;P113305WG01 20

[0111] FIG. 9 is a schematic diagram of an example network architecture illustrating a communication system according to principles disclosed herein;

[0112] FIG. 10 is a block diagram of a network node in communication with a user equipment over a wireless connection according to some embodiments of the present disclosure;

[0113] FIG. 11 is a schematic diagram of another example network architecture illustrating a communication system according to principles disclosed herein;

[0114] FIG. 12 is a flowchart of an example process in a UE according to some embodiments of the present disclosure;

[0115] FIG. 13 is a flowchart of an example process in a network node according to some embodiments of the present disclosure;

[0116] FIG. 14 shows an example method according to some embodiments of the present disclosure;

[0117] FIG. 15 shows another example method from a Set A and Set B perspective according to some embodiments of the present disclosure;

[0118] FIG. 16 shows an example prediction measurement configuration according to some embodiments of the present disclosure;

[0119] FIG. 17 shows an example method associated with periodic reporting according to some embodiments of the present disclosure; and

[0120] FIG. 18 shows an example aperiodic trigger state arrangement including a CSI- Report ID #1 and a CSI-Report ID #2 according to some embodiments of the present disclosure.DETAILED DESCRIPTION

[0121] Before describing in detail exemplary embodiments, it is noted that the embodiments reside primarily in combinations of apparatus components and processing steps related to configuration of one or more measurements associated with one or more resources. Accordingly, components have been represented where appropriate by conventional symbols in the drawings, showing only those specific details that are pertinent to understanding the embodiments so as not to obscure the disclosure with details that will be readily apparent to those of ordinary skill in the art having the benefit of the description herein.

[0122] As used herein, relational terms, such as “first” and “second,” “top” and “bottom,” and the like, may be used solely to distinguish one entity or element from another entity or element without necessarily requiring or implying any physical or logical relationship or order between such entities or elements. The terminology used herein is for the purpose of describingP113305W001 21particular embodiments only and is not intended to be limiting of the concepts described herein. As used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and / or “including” when used herein, specify the presence of stated features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0123] In embodiments described herein, the joining term, “in communication with” and the like, may be used to indicate electrical or data communication, which may be accomplished by physical contact, induction, electromagnetic radiation, radio signaling, infrared signaling or optical signaling, for example. One having ordinary skill in the art will appreciate that multiple components may interoperate and modifications and variations are possible of achieving the electrical and data communication.

[0124] In some embodiments described herein, the term “coupled,” “connected,” and the like, may be used herein to indicate a connection, although not necessarily directly, and may include wired and / or wireless connections.

[0125] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the concepts described herein. As used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and / or “including” when used herein, specify the presence of stated features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0126] The term “network node” used herein can be any kind of network node comprised in a radio network which may further comprise any of base station (BS), radio base station, base transceiver station (BTS), base station controller (BSC), radio network controller (RNC), g Node B (gNB), evolved Node B (eNB or eNodeB), Node B, multi-standard radio (MSR) radio node such as MSR BS, multi-cell / multicast coordination entity (MCE), relay node, donor node controlling relay, radio access point (AP), transmission points, transmission nodes, Remote Radio Unit (RRU) Remote Radio Head (RRH), a core network node (e.g., mobile management entity (MME), self-organizing network (SON) node, a coordinating node, positioning node, MDT node, etc.), an external node (e.g., 3rd party node, a node external to the current network), nodes in distributed antenna system (DAS), a spectrum access system (SAS) node, an elementP113305WG01 22management system (EMS), etc. The network node may also comprise test equipment. The term “radio node” used herein may be used to also denote a user equipment (UE) such as a wireless device (WD) or a radio network node.

[0127] In some embodiments, the non-limiting terms wireless device (WD) or a user equipment (UE) are used interchangeably. The UE herein can be any type of user equipment capable of communicating with a network node or another UE over radio signals, such as a wireless device (WD). The UE may also be a radio communication device, target device, device to device (D2D) UE, machine type UE or UE capable of machine to machine communication (M2M), low-cost and / or low-complexity UE, a sensor equipped with UE, Tablet, mobile terminals, smart phone, laptop embedded equipped (LEE), laptop mounted equipment (LME), USB dongles, Customer Premises Equipment (CPE), an Internet of Things (loT) device, or a Narrowband loT (NB-IOT) device etc.

[0128] Also, in some embodiments the generic term “radio network node” is used. It can be any kind of a radio network node which may comprise any of base station, radio base station, base transceiver station, base station controller, network controller, RNC, evolved Node B (eNB), Node B, gNB, Multi-cell / multicast Coordination Entity (MCE), relay node, access point, radio access point, Remote Radio Unit (RRU) Remote Radio Head (RRH).

[0129] Note that although terminology from one particular wireless system, such as, for example, 3GPP LTE and / or New Radio (NR) and / or 6G, may be used in this disclosure, this should not be seen as limiting the scope of the disclosure to only the aforementioned system. It is contemplated that other 3GPP systems may make use of the concepts and arrangements disclosed herein. For example, a disclosure relating to NR may also be implementable in a 6G system and / or an LTE system, a disclosure relating to 6G may also be implementable in a NR and / or LTE system, and a disclosure relating to LTE may also be implementable in a NR and / or 6G system. Other wireless systems, including without limitation Wide Band Code Division Multiple Access (WCDMA), Worldwide Interoperability for Microwave Access (WiMax), Ultra Mobile Broadband (UMB) and Global System for Mobile Communications (GSM), may also benefit from exploiting the ideas covered within this disclosure.

[0130] Note further, that functions described herein as being performed by a user equipment or a network node may be distributed over a plurality of user equipments and / or network nodes. In other words, it is contemplated that the functions of the network node and user equipment described herein are not limited to performance by a single physical device and, in fact, can be distributed among several physical devices.

[0131] Unless otherwise defined, all terms (including technical and scientific terms) usedP113305WG01 23herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs. It will be further understood that terms used herein should be interpreted as having a meaning that is consistent with their meaning in the context of this specification and the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

[0132] Referring again to the drawing figures, in which like elements are referred to by like reference numerals, there is shown in FIG. 9 a schematic diagram of a communication system 10, according to an embodiment, such as a 3GPP-type cellular network that may support standards such as LTE and / or NR (5G) and / or 6G, which comprises an access network 12, such as a radio access network, and a core network 14. The core network 14 includes one or more network nodes 15. The access network 12 comprises a plurality of network nodes 16a, 16b, 16c (referred to collectively as network nodes 16), such as NBs, eNBs, gNBs or other types of wireless access points, each defining a corresponding coverage area 18a, 18b, 18c (referred to collectively as coverage areas 18). Each network node 16a, 16b, 16c is connectable to the core network 14 over a wired or wireless connection 20. A first user equipment (UE) 22a located in coverage area 18a is configured to wirelessly connect to, or be paged by, the corresponding network node 16a. A second UE 22b in coverage area 18b is wirelessly connectable to the corresponding network node 16b. While a plurality of UEs 22a, 22b (collectively referred to as user equipments 22) are illustrated in this example, the disclosed embodiments are equally applicable to a situation where a sole UE is in the coverage area or where a sole UE is connecting to the corresponding network node 16. Note that although only two UEs 22 and three network nodes 16 are shown for convenience, the communication system may include many more UEs 22 and network nodes 16.

[0133] As one example, in certain embodiments, access network 12 may contain some access network nodes 16 that support 3GPP radio access technologies (RAT), such as LTE or NR, while other access network nodes 16 support (or the same access network nodes 16 additionally support) non-3GPP RATs, such as Wi-Fi or a proprietary RAT. As another example, communication system 10 may support multiple generations of related communication standards (e.g., 4G, 5G and 6G 3GPP communication standards) and, as a result, may include an access network 12 and / or a core network 14 that supports multiple different standard generations or may include multiple access networks 12 and / or multiple core networks 14 with individual networks supporting different standards generations.

[0134] Also, it is contemplated that a UE 22 can be in simultaneous communication and / or configured to separately communicate with more than one network node 16 and more than oneP113305W001 24type of network node 16. For example, a UE 22 can have dual connectivity with a network node 16 that supports LTE and the same or a different network node 16 that supports NR. As an example, UE 22 can be in communication with an eNB for LTE / E-UTRAN, a gNB for NR / NG-RAN (i.e. being configured for multi-radio dual connectivity (MR-DC), such as E-UTRAN (Evolved-UMTS Terrestrial Radio Access Network) New Radio - Dual Connectivity (EN-DC) and / or Wi-Fi.

[0135] A network node 16 (eNB or gNB) is configured to include a node management unit 24 which is configured to perform any step and / or task and / or process and / or method and / or feature described in the present disclosure, e.g., network node functions. A user equipment 22 is configured to include a UE management unit 26 which is configured to perform any step and / or task and / or process and / or method and / or feature described in the present disclosure, e.g., UE functions.

[0136] Example implementations, in accordance with an embodiment, of the UE 22 and network node 16 discussed in the preceding paragraphs will now be described with reference to FIG. 10.

[0137] The communication system 10 includes a network node 16 provided in a communication system 10 and including hardware 28 enabling it to communicate with the UE 22. The hardware 28 may include a communication interface 29 comprising a radio interface 30 for setting up and maintaining at least a wireless connection 32 with a UE 22 located in a coverage area 18 served by the network node 16. The radio interface 30 may be formed as or may include, for example, one or more RF transmitters, one or more RF receivers, and / or one or more RF transceivers. The radio interface 30 includes an array of antennas 34 to radiate and receive signal(s) carrying electromagnetic waves.

[0138] In the embodiment shown, the hardware 28 of the network node 16 further includes processing circuitry 36. The processing circuitry 36 may include a processor 38 and a memory 40. In particular, in addition to or instead of a processor, such as a central processing unit, and memory, the processing circuitry 36 may comprise integrated circuitry for processing and / or control, e.g., one or more processors and / or processor cores and / or FPGAs (Field Programmable Gate Array) and / or ASICs (Application Specific Integrated Circuitry) adapted to execute instructions. The processor 38 may be configured to access (e.g., write to and / or read from) the memory 40, which may comprise any kind of volatile and / or nonvolatile memory, e.g., cache and / or buffer memory and / or RAM (Random Access Memory) and / or ROM (Read-Only Memory) and / or optical memory and / or EPROM (Erasable Programmable Read-Only Memory).P113305W001 25

[0139] Thus, the network node 16 further has software 42 stored internally in, for example, memory 40, or stored in external memory (e.g., database, storage array, network storage device, etc.) accessible by the network node 16 via an external connection. The software 42 may be executable by the processing circuitry 36. The processing circuitry 36 may be configured to control any of the methods and / or processes described herein and / or to cause such methods, and / or processes to be performed, e.g., by network node 16. Processor 38 corresponds to one or more processors 38 for performing network node 16 functions described herein. The memory 40 is configured to store data, programmatic software code and / or other information described herein. In some embodiments, the software 42 may include instructions that, when executed by the processor 38 and / or processing circuitry 36, causes the processor 38 and / or processing circuitry 36 to perform the processes described herein with respect to network node 16. For example, processing circuitry 36 of the network node 16 may node management unit 24 which is configured to perform any step and / or task and / or process and / or method and / or feature described in the present disclosure, e.g., network node functions.

[0140] The network node 16 may be composed of multiple distinct network entities (e.g., a NodeB entity and a RNC entity, or a BTS entity and a BSC entity, etc.), which may each have or utilize their own respective physical components. In certain scenarios in which the network node 16 comprises multiple such entities (e.g., BTS and BSC), one or more of the separate entities may be shared among several network nodes. For example, a single RNC may control multiple NodeB s. In such a scenario, each unique NodeB and RNC pair, may in some instances be considered a single separate network node. In some embodiments, the network node 16 may be configured to support multiple radio access technologies (RATs). In such embodiments, some components may be duplicated (e.g., separate memories 40 or portions of memory 40 for different RATs) and some components may be reused (e.g., a same antenna may be shared by different RATs). The network node 16 may also include multiple sets of the various illustrated components for different wireless technologies integrated into network node 16, for example GSM, WCDMA, LTE, NR, Wi-Fi (e.g., according to an IEEE 802.11 family standard), Zigbee, Z-wave, LoRaWAN, Radio Frequency Identification (RFID) or Bluetooth wireless technologies. These wireless technologies may be integrated into the same or different chip or set of chips and other components within network node 16.

[0141] In certain alternative embodiments, network node 16 may be capable of wireless communication but does not include separate radio front-end circuitry, instead, the processing circuitry 36 includes radio front-end circuitry and is connected to the antenna 34. Similarly, in some embodiments, all or some of the RF receivers, transmitters and / or transceivers are partP113305W001 26of the radio interface 30. In still other embodiments, the communication interface 29 includes one or more ports or terminals, the radio interface 30, and the RF receiver, transmitter and / or transceiver, and the communication interface 31 communicates with baseband processing circuitry, which is part of a digital unit (not shown).

[0142] The antenna 34 may include one or more antennas, or antenna arrays, configured to send and / or receive wireless signals. The antenna 34 may be coupled to the radio front-end circuitry in radio interface 30 and may be any type of antenna capable of transmitting and receiving data and / or signals wirelessly. In certain embodiments, the antenna 34 is separate from the network node 16 and connectable to the network node 16 through one or more interfaces or ports.

[0143] Network node 15 can include one or more components described above with respect to network node 16, e.g., communication interface 29, radio interface 30, antenna 34, ports, processing circuitry 36, processor 38, memory 40 and software 42. These elements of network node 15 can be arranged such that network node 15 can perform various core network functions. Network node 15 can communicate wirelessly or via a wired connection with network nodes 16 via communication link 59.

[0144] The communication system 10 further includes the UE 22 already referred to. The UE 22 may have hardware 44 that may include a radio interface 46 configured to set up and maintain a wireless connection 32 with a network node 16 serving a coverage area 18 in which the UE 22 is currently located. The radio interface 46 may be formed as or may include, for example, one or more RF transmitters, one or more RF receivers, and / or one or more RF transceivers. The radio interface 46 includes an array of antennas 48 to radiate and receive signal(s) carrying electromagnetic waves.

[0145] Communication functions of the radio interface 46 may include cellular communication, Wi-Fi communication (e.g., according to an IEEE 802.11 family standard), 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. Communications may be implemented according to one or more communication protocols and / or standards, such as IEEE 802.11, Code Division Multiplexing Access (CDMA), Wideband Code Division Multiple Access (WCDMA), GSM, LTE, New Radio (NR), UMTS, WiMax, Ethernet, transmission control protocol / intcrnct protocol (TCP / IP), synchronous optical networking (SONET), Asynchronous Transfer Mode (ATM), QUIC, HypertextP113305WG01 27Transfer Protocol (HTTP), and so forth.

[0146] The hardware 44 of the UE 22 further includes processing circuitry 50. The processing circuitry 50 may include a processor 52 and memory 54. In particular, in addition to or instead of a processor, such as a central processing unit, and memory, the processing circuitry 50 may comprise integrated circuitry for processing and / or control, e.g., one or more processors and / or processor cores and / or FPGAs (Field Programmable Gate Array) and / or ASICs (Application Specific Integrated Circuitry) adapted to execute instructions. The processor 52 may be configured to access (e.g., write to and / or read from) memory 54, which may comprise any kind of volatile and / or nonvolatile memory, e.g., cache and / or buffer memory and / or RAM (Random Access Memory) and / or ROM (Read-Only Memory) and / or optical memory and / or EPROM (Erasable Programmable Read-Only Memory).

[0147] Thus, the UE 22 may further comprise software 56, which is stored in, for example, memory 54 at the UE 22, or stored in external memory (e.g., database, storage array, network storage device, etc.) accessible by the UE 22. The software 56 may be executable by the processing circuitry 50. The software 56 may include a client application 58. The client application 58 may be operable to provide a service to a human or non-human user via the UE 22.

[0148] The processing circuitry 50 may be configured to control any of the methods and / or processes described herein and / or to cause such methods, and / or processes to be performed, e.g., by UE 22. The processor 52 corresponds to one or more processors 52 for performing UE 22 functions described herein. The UE 22 includes memory 54 that is configured to store data, programmatic software code and / or other information described herein. In some embodiments, the software 56 and / or the client application 58 may include instructions that, when executed by the processor 52 and / or processing circuitry 50, causes the processor 52 and / or processing circuitry 50 to perform the processes described herein with respect to UE 22. For example, the processing circuitry 50 of the user equipment 22 may include UE management unit 26 which is configured to perform any step and / or task and / or process and / or method and / or feature described in the present disclosure, e.g., UE functions.

[0149] In some embodiments, the inner workings of the network node 16 and UE 22 may be as shown in FIG. 10 and independently, the surrounding network topology may be that of FIG.9.

[0150] The wireless connection 32 between the UE 22 and the network node 16 is in accordance with the teachings of the embodiments described throughout this disclosure. More precisely, the teachings of some of these embodiments may improve the data rate, latency,P113305WG01 28and / or power consumption and thereby provide benefits such as reduced user waiting time, relaxed restriction on file size, better responsiveness, extended battery lifetime, etc. In some embodiments, a measurement procedure may be provided for the purpose of monitoring data rate, latency and other factors on which the one or more embodiments improve.

[0151] Although FIGS. 9 and 10 show various “units” such as node management unit 24 and UE management unit 26 as being within a respective processor, it is contemplated that these units may be implemented such that a portion of the unit is stored in a corresponding memory within the processing circuitry. In other words, the units may be implemented in hardware or in a combination of hardware and software within the processing circuitry.

[0152] FIG. 11 is another example of a communication system 10 according to some embodiments. As used herein, the communication system 10 of FIG. 11 includes multiple access points (APs) 60 (with four example APs 60a, 60b, 60c, and 60d being depicted) and multiple wireless devices, referred to in the context of communication system 10 of FIG. 11 as stations (STAs) 62 (referred to individually as STA 62a, STA 62b, STA 62c, STA 62d, and STA 62e). STA 62a is served by AP 60a in a first basic service set (BSS) 64a. STA 62b and STA 62c are served by AP 60b in a second BSS, BSS 64b. STA 62d is served by AP 60c in a third BSS, BSS 64c. STA 62e is served by AP 60d in a fourth BSS, BSS 64d. Stations 62 may be non-AP STAs and correspond to various kinds of wireless devices, for example, user terminals, such as mobile or stationary computing devices like smartphones, laptop computers, desktop computers, tablet computers, gaming devices, head-mounted displays (HMDs) for Augmented Reality (AR) or Virtual Reality (VR), or the like, including UEs 22 that are shown and described with respect to FIGS. 9 and 10. In other words, in some embodiment, STA 62 is a UE 22. Further, stations 62 could, for example, correspond to other kinds of equipment like smart home devices, printers, multimedia devices, data storage devices, or the like.

[0153] Each of STAs 62 may connect through a radio link to one of APs 60. For example, depending on location or channel conditions experienced by a given STA 62, the STA may select an appropriate AP and BSS for establishing the radio link. The radio link may be based on one or more orthogonal frequency-division multiplexing (OFDM) carriers from a frequency spectrum that is shared on the basis of a contention-based mechanism, e.g., an unlicensed or license exempt band like 2.4 GHz Industrial, Scientific, and Medical (ISM) band, the 5 GHz band, the 6 GHz band, or the 60 GHz band.

[0154] Each AP 60 may provide data connectivity to STAs 62 connected to a particular AP 60. As illustrated, APs 60 may be connected to a data network 66. In this way, APs 60 may also provide data connectivity between STAs 62 and other entities, e.g., to one or more servers,P113305WG01 29service providers, data sources, data sinks, user terminals, or the like. Accordingly, the radio link established between a given ST A 62 and its serving AP 60 may be used for providing various kinds of services to STA 62, e.g., a voice service, a multimedia service, or other data service. Such services may be based on applications that are executed on STA 62 and / or on a device linked to STA 62. By way of example, FIG. 11 illustrates an application service platform 68 provided in data network 66. The application(s) executed on STA 62 and / or on one or more other devices linked to STA 62 may use the radio link for data communication with one or more other STA 62 and / or the application service platform 68, thereby enabling utilization of the corresponding service(s) at STA 62.

[0155] FIG. 12 is a flowchart of an example process in a user equipment 22 according to some embodiments of the present disclosure. One or more blocks described herein may be performed by one or more elements of user equipment 22 such as by one or more of processing circuitry 50 (including the UE management unit 26), processor 52, and / or radio interface 46. UE 22 such as via processing circuitry 50 and / or processor 52 and / or radio interface 46 is configured to transmit (Block S100), to network node 16, a prediction report for a set of beams and receive (Block S102), from the network node 16, a prediction measurement configuration. The prediction measurement configuration instructs the UE 22 to measure one or more beams corresponding to the prediction report. UE 22 is also configured to measure and report (Block SI 04), to the network node 16, at least one beam of the one or more beams according to the received prediction measurement configuration. In some embodiments, the prediction measurement configuration includes a reference to a UE prediction configuration.

[0156] In some other embodiments, the UE prediction configuration includes a channel state information report configuration (CSI-ReportConfig) with a predetermined first channel state information report configuration identifier CSI-ReportConfig ID), and the prediction measurement configuration of the UE 22 is a second CSI-ReportConfig with a second CSI-reportConfig ID. The second CSI-ReportConfig includes a reference to the first CSI-ReportConfig ID.

[0157] In some embodiments, the prediction measurement configuration includes a reference to one or more UE time instances from the prediction report that a prediction measurement corresponds to.

[0158] In some other embodiments, the method further includes receiving, from the network node 16, the one or more beams corresponding to the prediction report in an order of a transmission configuration indicator state identifier (TCI-state ID). The TCI state ID is configured as part of a network node configuration of one or more resources that the UE 22 isP113305W001 30to predict.

[0159] In one or more embodiments, the method further includes receiving, from the network node, two or more beams when the two or more beams have the same TCI state ID in an order of a beam identifier. The same TCI state ID is usable by the UE 22 to identify the two or more beams. The beam identifier is a Channel State Information Reference Signal (CSI-RS) Resource Indicator (CRI) of a resource set that is predicted in a prediction result from the UE 22.

[0160] In some embodiments, the prediction measurement configuration indicates that the UE 22 is to measure at least two beams of the one or more beams in the same order as reported in the prediction report.

[0161] In some other embodiments, the prediction measurement configuration indicates that the UE 22 is to measure K first beams in the prediction report.

[0162] In some embodiments, the prediction measurement configuration indicates that the UE 22 is to measure at least one beam of the one or more beams that is within a reference signal received power (RSRP) threshold of the strongest beam in the prediction report.

[0163] In some other embodiments, the prediction report includes a probability of a beam being the strongest beam, and the prediction measurement configuration indicates that the UE 22 is to measure at least one beam having the highest probability of the strongest beam such that a summed probability is above a predetermined threshold value.

[0164] In some embodiments, one or both of: (A) the method further includes receiving a second measurement configuration and measuring only two or more beams in a first measurement configuration according to a predetermined rule; and (B) the predetermined rule instructing the UE 22 to measure only the beams in the first measurement configuration that have TCI states that are different to the TCI states of the second measurement configuration.

[0165] In some other embodiments, the prediction measurement configuration includes an aperiodic report configured in an associated report configuration.

[0166] In some embodiments, the prediction measurement configuration includes an aperiodic report configured via radio resource control (RRC).

[0167] In some other embodiments, the measurement configuration includes a semi-persistent report configured in medium access control (MAC) control element (CE).

[0168] FIG. 13 is a flowchart of an example process in a network node 16. One or more blocks described herein may be performed by one or more elements of network node 16 such as by one or more of processing circuitry 36 (including the node management unit 24), processor 38, and / or radio interface 30. Network node 16 such as via processing circuitry 36 and / or processorP113305W001 3138 and / or radio interface 30 is configured to receive (Block S 106), from the UE 22, a prediction report for a set of beams and transmit (Block S108), to the UE 22, a prediction measurement configuration to the UE 22 based on the prediction report. The prediction measurement configuration instructs the UE 22 to measure one or more beams corresponding to the prediction report. Network node 16 is also configured to receive (Block SI 10), from the UE 22, a prediction measurement report including information about at least one beam of the one or more beams according to the received prediction measurement configuration and perform (Block SI 12) one or more actions based on the prediction measurement report.

[0169] In some embodiments, the prediction measurement configuration includes a reference to a UE prediction configuration.

[0170] In some other embodiments, the UE prediction configuration includes a channel state information report configuration (CSI-ReportConfig) with a predetermined first channel state information report configuration identifier CSI-ReportConfig ID), and the prediction measurement configuration of the UE 22 is a second CSI-ReportConfig with a second CSI-reportConfig ID. The second CSI-ReportConfig includes a reference to the first CSI-ReportConfig ID.

[0171] In some embodiments, the prediction measurement configuration includes a reference to one or more UE time instances from the prediction report that a prediction measurement corresponds to.

[0172] In some other embodiments, the one or more actions include transmitting, to the UE 22, the one or more beams corresponding to the prediction report in an order of a transmission configuration indicator state identifier (TCI-state ID). The TCI state ID is configured as part of a network node configuration of one or more resources that the UE 22 is to predict.

[0173] In some embodiments, the method further includes transmitting, to the UE, two or more beams when the two or more beams have the same TCI state ID in an order of a beam identifier. The same TCI state ID being usable by the UE 22 to identify the two or more beams. The beam identifier is a Channel State Information Reference Signal (CSI-RS) Resource Indicator (CRI) of a resource set that is predicted in a prediction result from the UE 22.

[0174] In some embodiments, the prediction measurement configuration indicates that the UE 22 is to measure at least two beams of the one or more beams in the same order as reported in the prediction report.

[0175] In some other embodiments, the prediction measurement configuration indicates that the UE 22 is to measure K first beams in the prediction report.

[0176] In some embodiments, the prediction measurement configuration indicates that the UEP113305WG01 3222 is to measure at least one beam of the one or more beams that is within a reference signal received power (RSRP) threshold of the strongest beam in the prediction report.

[0177] In some other embodiments, the prediction report includes a probability of a beam being the strongest beam, and the prediction measurement configuration indicates that the UE 22 is to measure at least one beam having the highest probability of the strongest beam such that a summed probability is above a predetermined threshold value.

[0178] In some embodiments, one or both of: (A) the method further includes transmitting a second measurement configuration for the UE 22 to measure only two or more beams in a first measurement configuration according to a predetermined rule; and (B) the predetermined rule instructing the UE 22 to measure only the beams in the first measurement configuration that have TCI states that are different to the TCI states of the second measurement configuration.

[0179] In some other embodiments, the prediction measurement configuration includes an aperiodic report configured in an associated report configuration.

[0180] In some embodiments, the prediction measurement configuration includes an aperiodic report configured via radio resource control (RRC).

[0181] In some other embodiments, the measurement configuration includes a semi-persistent report configured in medium access control (MAC) control element (CE).

[0182] Having described the general process flow of arrangements of the disclosure and having provided examples of hardware and software arrangements for implementing the processes and functions of the disclosure, the sections below provide details and examples of arrangements for configuring one or more measurements associated with one or more resources.

[0183] In some embodiments, the UE measurements on the strongest predicted beams is referred to as “prediction measurements”, which are configured in a prediction measurement configuration. The prediction measurement configuration may be referred to as “P-2 Al measurement configuration” or “Top-K measurement configuration.”

[0184] FIG. 14 shows an example method according to one or more embodiments. More specifically, at step SI 14, network node 16 transmits a network (NW) configuration of a UE inference report and prediction measurement report. At step SI 16, the UE 22 transmits an inference result report. At SI 18, network node 16 may, in cases of an aperiodic report (aPeriodic report), network node 16 triggers a prediction measurement. At step S120, UE 22 transmits a report prediction measurement, and at step SI 22 data is transmitted with a beam based on the prediction measurement.

[0185] FIG. 15 shows steps which may correspond to the steps of FIG. 14 from a Set A and Set B perspective, where the UE 22 reports top-4 beams. More specifically, at step S124, aP113305WG01 33beam sweep for Set B of beams (within Set A of beams) is performed. One or more CSI measurements of Set B, at time Ti are performed. At step S126, UE 22 performs a prediction of top-4 beams in Set A. The prediction provides an inference prediction result (including the top-4 beams), at time T2. The inference prediction result may be included in a report transmitted to the network node 16 (e.g., as in SI 16). At step S128, UE 22 performs one or more measurements of the predicted top-4 beams in Set A. That is, one or more prediction measurements are performed, at time T3. The measurements of the predicted top-4 beams in Set A may reported to network node 16, as in step S120. The generation of the report including the prediction measurements may be triggered by network node 16, as in step SI 18. At step, SI 30, at time T4, network node 16 transmits data to UE 22 using the best beam measured by UE 22, at time T3.Inference report configuration (Rel-19 solution)

[0186] A UE inference report configuration may be specified using agreed 3GPP signaling by including an indication of the Set B (measurement resources) and Set A (prediction resources). This can be enabled by providing the UE 22 with a CSI report configuration that includes the indication of the Set B (measurement resources) and the Set A (prediction resources). The CSI report configuration additionally includes an associated identifier (ID) that indicates what UE 22 can assume on the consistency across training and the inference in the beam shapes from network node 16. The inference report configuration may correspond to the UE inference report shown in FIG. 5.Prediction measurement report configuration

[0187] In some embodiments, the prediction measurement report configuration includes a reference or link to an inference report configuration, as shown in FIG. 16. The reference or link may enable UE 22 to determine that, when such a configuration is present, the UE 22 can assume that the resources transmitted are according to the UE prediction result. For example, in case the UE 22 predicts that resources 1, 4, and 5 are the Top-3 strongest predicted beams, the UE 22 can assume that such resources are part of the prediction measurement resource set (in that order). In case UE 22 is configured with temporal beam prediction, UE 22 is further configured for the time instances that the prediction measurement report corresponds to. Network node 16 can, for example, indicate the time instance the prediction measurement report should correspond to.

[0188] More specifically, FIG. 16 shows an example prediction measurement configuration. The UE inference report configuration may include CRI / RSRP information (which mayP113305W001 34include related legacy information) and / or ID1 associated with Set A and / or ID2 associated with Set B. ID2 may be optional. At step SI 32, resource configuration associated with Set A and Set B may be determined from the inference report configuration. At step SI 34, resource sets associated with Set A and Set B may be determined based on the resource configuration associated with Set A and Set B. A prediction measurement report configuration may include a link to an inference report, and at step SI 36, one or more prediction measurements may be performed, and a resource configuration may be determined. The prediction measurements may be based on the resource configuration. At step S138, one or more prediction measurements may be performed and a resource set determined. At step SI 40, resources 1-N may be determined.Embodiments related to transmission order

[0189] In some embodiments, the transmission of the resources in the prediction measurement report can be according to the NZP-CSI-RS-Resourceld. In the example where UE 22 predicts that resource ID is 1,4, and 5, network node 16 transmits in such order.

[0190] In another embodiment, since each resourcelD / beamID have an underlying TCI state, as configured during the Set A configuration. Network node 16 transmits the beams in the order of the TCI state IDs, firstly, and NZP-CSI-RS-Resourceld, secondly. One example is provided in the following Table 1, for a scenario where the UE 22 predicts the Top-5 beams.Table 1. - Example prediction report of top-K beams and top-K measurements order.

[0191] Sorting the beam ID order according to the TCI state may enable the beams to be transmitted so the UE 22 does not have to retune the UE RX beam for each narrow beam sweep. In case a resource does not have a TCI state, network node 16 may transmit such resources first or last. In one related embodiment, whenever the network node 16 changes the TCI state when transmitting a new CSI-RS resource, network node 16 allocates an extra time to allow a UE RX beam shift.Embodiments on the filtering the UE prediction results

[0192] In some embodiments, network node 16 may only want to transmit a subset of the UEP113305WG01 35predicted beams. Hence, network node 16 can indicate that only a limited set of the UE predicted beams are transmitted. Network node 16 can, for example, determine and transmit a configuration that when UE 22 also reports a predicted RSRP, UE 22 can assume that all beams are within a predetermined decibel level (e.g., x dB) of the strongest beam is swept. In one other embodiment, UE 22 can assume that only beams having a predetermined amount of decibels (e.g., T dB) higher than the current best beam are swept (e.g., the beam from a previous occasion of the prediction measurement report). For example, UE 22 current serving beam is x dB of the strongest beam, and network node 16 only sweeps the beams that are x + T dB.

[0193] In another embodiment, the configuration indicates that UE 22 should measure the K first beams in the prediction report. Where K is configured by network node 16.

[0194] In another embodiment, when and / or if the prediction report includes a probability of being the strongest beam, the prediction measurement configuration indicates that UE 22 should measure the beams such that the summed probability is above a threshold value, where the threshold value is part of the configuration.

[0195] Periodic report - signaling examples

[0196] In case of periodic signaling of the prediction measurement report, network node 16 can configure the report of the prediction measurements in a CSI report configuration. Since network node 16 first needs to receive the inference result report from UE 22, network node 16 will not configure and thus transmit the prediction measurement resources until a certain delay delta upon the receiving of the prediction result report from UE 22. The delta may be determinable by network node 16 and / or UE 22, or defined in a standard, or network implementation specific. FIG. 17 shows example steps associated with periodic reporting.

[0197] In some embodiments, in the configuration (e.g., the CSI-Report configuration) includes a link or reference to a prediction configuration, which includes the inference report configuration that UE 22 should expect to receive resources from in the prediction measurement occasion. The UE 22 can be configured with signaling that indicates for which time instance that is linked in case of BM-Case2, and also indicate if the beams are transmitted in the order of the TCI state ID.

[0198] - ASN1 START- TAG-CSI-REPORTCONFIG-STARTCSI-ReportConfig ::= SEQUENCE {reportConfigld CSI-ReportConfigld,P113305W001 36carrier ServCelllndex OPTIONAL, — Need S resourcesForChannelMeasurement CSI-ResourceConfigld,csi-IM-ResourcesForlnterference CSI-ResourceConfigld OPTIONAL, — Need Rnzp-CSI-RS-ResourcesForlnterference CSI-ResourceConfigld OPTIONAL, — Need RreportConfigType CHOICE {periodic SEQUENCE {reportSlotConfig CSI-ReportPeriodicityAndOffset,pucch-CSI-ResourceList SEQUENCE (SIZE (E.maxNrofBWPs)) OF PUCCH-CSI-ResourcesemiPersistentOnPUCCH SEQUENCE {reportSlotConfig CSI-ReportPeriodicityAndOffset,pucch-CSI-ResourceList SEQUENCE (SIZE (E.maxNrofBWPs)) OF PUCCH-CSI-ResourcesemiPersistentOnPU SCH SEQUENCE {reportSlotConfig ENUMERATED {s!5, si 10, sl20, sl40, s!80, si 160, S1320},reportSlotOffsetList SEQUENCE (SIZE (L. maxNrofUL- Allocations)) OF INTEGER(0..32),pOalpha PO-PUSCH-AlphaSetld},aperiodic SEQUENCE {reportSlotOffsetList SEQUENCE (SIZE (E.maxNrofUL- Allocations)) OF INTEGER(0..32)}},report Quantity CHOICE {none NULL,cri-RLPMI-CQI NULL,cri-RI-il NULL,cri-RLil-CQI SEQUENCE {P113305W001 37pdsch-BundleSizeForCSI ENUMERATED {n2, n4} OPTIONAL - Need S},cri-RI-CQI NULL,cri-RSRP NULL,ssb-Index-RSRP NULL,cri-RI-LI-PMI-CQI NULL},reportFreqConfiguration SEQUENCE {cqi-Formatlndicator ENUMERATED { widebandCQI, subbandCQI } OPTIONAL, - NeedRpmi-Formatlndicator ENUMERATED { widebandPMI, subbandPMI } OPTIONAL, - NeedRcsi-ReportingB and CHOICE {subbands3 BIT STRING(SIZE(3)),subbands4 BIT STRING(SIZE(4)),subbands5 BIT STRING(SIZE(5)),subbands6 BIT STRING(SIZE(6)),subbands7 BIT STRING(SIZE(7)),subbands8 BIT STRING(SIZE(8)),subbands9 BIT STRING(SIZE(9)),subbands 10 BIT STRING(SIZE(10)),subbands 11 BIT STRING(SIZE(11)),subbands 12 BIT STRING(SIZE(12)),subbands 13 BIT STRING(SIZE(13)),subbands 14 BIT STRING(SIZE(14)),subbands 15 BIT STRING(SIZE(15)),subbands 16 BIT STRING(SIZE(16)),subbands 17 BIT STRING(SIZE(17)),subbands 18 BIT STRING(SIZE(18)),subbandsl9-vl530 BIT STRING(SIZE(19))} OPTIONAL - Need SP113305W001 38} OPTIONAL, - Need RtimeRestrictionForChannelMeasurements ENUMERATED {configured, notConfigured},timeRestrictionForlnterferenceMeasurements ENUMERATED {configured, notConfigured},codebookConfig CodebookConfigOPTIONAL, - Need Rdummy ENUMERATED {nl, n2}OPTIONAL, - Need RgroupB asedBeamReporting CHOICE {enabled NULL,disabled SEQUENCE {nrofReportedRS ENUMERATED {nl, n2, n3, n4} OPTIONAL - Need Scqi-Table ENUMERATED {tablel, table2, table3, table4-r!7} OPTIONAL, - Need RsubbandSize ENUMERATED { value 1, value2},non-PMI-Portlndication SEQUENCE (SIZE ( 1..maxNrofNZP-CSI-RS- ResourcesPerConfig)) OF PortlndexForSRanks OPTIONAL, — Need R[[semiPersistentOnPUSCH-vl530 SEQUENCE {reportSlotConfig-vl530 ENUMERATED {sl4, sl8, sll6}} OPTIONAL - Need R]],[[semiPersistentOnPUSCH-vl610 SEQUENCE {reportSlotOffsetListDCI-0-2-rl6 SEQUENCE (SIZE (L. maxNrofUL-Allocations-r!6)) OF INTEGER(0..32) OPTIONAL, - Need RreportSlotOffsetListDCI-0-l-rl6 SEQUENCE (SIZE (L. maxNrofUL-Allocations-P113305W001 39r!6)) OF INTEGER(0..32) OPTIONAL - NeedROPTIONAL, - Need Raperiodic-vl610 SEQUENCE {reportSlotOffsetListDCI-0-2-rl6 SEQUENCE (SIZE (L. maxNrofUL-Allocations-r!6)) OF INTEGER(0..32) OPTIONAL, - NeedRreportSlotOffsetListDCI-0-l-rl6 SEQUENCE (SIZE (L. maxNrofUL-Allocations-r!6)) OF INTEGER(0..32) OPTIONAL - Need ROPTIONAL, — Need RreportQuantity-r 16 CHOICE {cri-SINR-r!6 NULL,ssb-Index-SINR-r!6 NULLOPTIONAL, — Need RcodebookConfig-r 16 CodebookConfig-r 16OPTIONAL - Need R]],[[cqi-BitsPerSubband-rl7 ENUMERATED {bits4}OPTIONAL, - NeedRgroupBasedBeamReporting-v!710 SEQUENCE {nrofReportedGroups-r!7 ENUMERATED {nl, n2, n3, n4}OPTIONAL, — Need RcodebookConfig-r 17 CodebookConfig-r 17OPTIONAL, - NeedRsharedCMR-rl7 ENUMERATED {enable}OPTIONAL, - NeedRcsi-ReportMode-r 17 ENUMERATED {model, mode2}OPTIONAL, - NeedRnumberOfSingleTRP-CSI-Model-rl7 ENUMERATED {nO, nl, n2} OPTIONAL, - NeedRreportQuantity-r 17 CHOICE {P113305W001 40cri-RSRP-Index-rl7 NULL,ssb-Index-RSRP-Index-rl7 NULL,cri-SINR-Index-rl7 NULL,ssb-Index-SINR-Index-rl7 NULL} OPTIONAL - Need R]],[[semiPersistentOnPUSCH-vl720 SEQUENCE {reportSlotOffsetList-rl7 SEQUENCE (SIZE (L. maxNrofUL-Allocations-rl6)) OF INTEGER(0..128) OPTIONAL, - NeedRreportSlotOffsetListDCI-0-2-rl7 SEQUENCE (SIZE (L. maxNrofUL-Allocations-rl6)) OF INTEGER(0..128) OPTIONAL, - NeedRreportSlotOffsetListDCI-0-l-rl7 SEQUENCE (SIZE (L. maxNrofUL-Allocations-rl6)) OF INTEGER(0..128) OPTIONAL - NeedR} OPTIONAL, - Need Raperiodic-vl720 SEQUENCE {reportSlotOffsetList-rl7 SEQUENCE (SIZE (L. maxNrofUL-Allocations-rl6)) OF INTEGER(0..128) OPTIONAL, - NeedRreportSlotOffsetListDCI-0-2-rl7 SEQUENCE (SIZE (L. maxNrofUL-Allocations-rl6)) OF INTEGER(0..128) OPTIONAL, - NeedRreportSlotOffsetListDCI-0-l-rl7 SEQUENCE (SIZE (L. maxNrofUL-Allocations-rl6)) OF INTEGER(0..128) OPTIONAL - NeedR} OPTIONAL - Need R]],[[codebookConfig-v 1730 CodebookConfig-v 1730OPTIONAL - Need R]],[[groupBasedBeamReporting-vl800 SEQUENCE {reportingMode-r!8 ENUMERATED {jointULDL, onlyUL}P113305W001 41} OPTIONAL, - Need RreportQuantity-r 18 TDCP-r 18OPTIONAL, - Need RcodebookConfig-r 18 CodebookConfig-r 18OPTIONAL, - Need Rcsi-ReportSubConfigToAddModList-rl8 SEQUENCE (SIZE (L.maxNrofCSI-ReportSubconfigPerCSI-ReportConfig-r 18)) OF CSI-ReportSubConfig-r 18OPTIONAL, - Need Ncsi-ReportSubConfigToReleaseList-rl8 SEQUENCE (SIZE (L.maxNrofCSI-ReportSubconfigPerCSI-ReportConfig-r 18)) OF CSI-ReportSubConfigld-r 18OPTIONAL - Need N]],[[‘ predictionMeasurementConfiguration-rl9 {refToPredictionConfig-rl9 CSI-ReportConfigld, referenceTimelnstance Enumerated(Oms, 10ms, 20ms,...) - Optional sortedTCIstatelDs. Boolean(TRUE / FALSE) - Optional, filteredPredictions filterOption - Optional,}predictionConfiguration-rl9 CHOICE {configurationForChannelPrediction-rl9 SEQUENCE { resourcesToBeMeasuredForChannelPrediction-r!9 CSI-ResourceConfigld, associatedldPrediction-r 19 AssociatedldOPTIONAL, - Need RassociatedldT oB eMeasured-r 19 AssociatedldOPTIONAL, - Need Rprediction! imeGap-r 19 ENUMERATED {mslO, ms20, ms40, ms80, msl60, sparel, spare2, spare3} OPTIONAL, — Need R predictionNoFutureTimeInstances-rl9 ENUMERATED {nl, n2, n4, n8} OPTIONAL, - Need RP113305W001 42dataCollection-rl9 ENUMERATED {true}OPTIONAL, - Need RFFS}configurationForChannelMonitoring-rl9 SEQUENCE {refToPredictionConfig-rl9 CSI-ReportConfigld,reportQuantity-r 19 ReportQuantity-r 19OPTIONAL, - Need RFFS}} OPTIONAL - Need R]]}Semi-persistent report - signaling examples

[0199] In some embodiments, network node 16 may use semi-persistent reporting for enabling the prediction measurement report configuration. In another embodiment, network node 16 can, as part of the MAC CE, indicate that the activated measurement resource configuration or report configuration is linked to a specific inference report configuration ID. Next, UE 22 can use this information when measuring the activated resource / report configuration with the TCI states based on the prediction report (e.g., the specific inference report config ID).aPeriodic report - signaling examples

[0200] In some embodiments, network node 16 can use aPeriodic reporting for enabling the prediction measurement report configuration. In some other embodiments, network node 16 indicates the linked inferenceReportConfiguration in the CSI-AssociatedReportConfiglnfo via signaling, in addition to the linked reference inference report configuration. UE 22 can be configured with signaling that indicates the time instance that is linked in case of BM-Case2 and also indicate if the beams are transmitted in the order of the TCI state ID. Example signal is as follows.CSI-AssociatedReportConfiglnfo ::= SEQUENCE {reportConfigld CSI-ReportConfigld,resourcesForChannel CHOICE {P113305WG01 43nzp-CSI-RS SEQUENCE {resourceSet INTEGER (E.maxNrofNZP-CSI-RS-ResourceSetsPerConfig), qcl-info SEQUENCE (SIZE(E.maxNrofAP-CSI-RS-ResourcesPerSet)) OF TCI-Stateld OPTIONAL — Cond Aperiodic },csi-SSB-ResourceSet INTEGER (L.maxNrofCSI-SSB-ResourceSetsPerConfig) },‘ predictionMeasurementConfiguration-rl9 {refToPredictionConfig-rl9 CSI-ReportConfigld, referenceTimelnstance Enumerated(Oms, 10ms, 20ms,...) - Optional sortedTCIstatelDs. Boolean(TRUE / FALSE) - Optional, filteredPredictions filterOption - Optional,

[0201] FIG. 18 shows an example aperiodic trigger state arrangement including a CSLReport ID #1 and a CSLReport ID #2. The CSI-Report ID #1 may include a Resource Set 1, according to one or more embodiments of the present disclosure. The CSI-Report ID #2 may include a Resource Set 2, with legacy features.

[0202] In one embodiment for aPeriodic reporting, UE 22 is configured with multiple associatedReport configurations in an aPeriodic trigger state. If one of them is configured with a reference to an inference configuration ID, the UE 22 may assume that such inference report configuration only transmits (or includes) the TCI states that are not present in any of the other associatedReport configurations in the triggered aP eriodicTrigger State . That is, in the case a first associatedReport configuration (CSI-Report ID #1 in FIG. 17) is not linked to an inference report configuration that includes a certain TCI State, network node 16 may not transmit such TCI states in the configuration that refers to the inference report configuration. This may enable network node 16 to configure both beams that are not based on the UE-sided prediction, and beams that are based on the UE-sided prediction in the same report, e.g., without unnecessarily configuring the UE 22 to measure on the same beams twice.Data transmission aspects (step S122)

[0203] In a step according to one or more embodiments, network node 16 may transmit data (e.g. as in step S122) using the strongest beam from the prediction measurement report. In case the UE 22 needs to switch TCI state for the data beam, network node 16 can use legacy signaling to indicate the active TCI state.P113305W001 44

[0204] In some other embodiments, for PDSCH beam management, network node 16 configures UE 22 with a set of PDSCH TCI states via RRC and then activates up to 8 TCI states by MAC CE. In some cases, network node 16 dynamically indicates one of these activated TCI states using a TCI field in DCI when scheduling PDSCH. When UE 22 provides K beam predictions in the inference result report, UE 22 can assume that the TCI state for the provided predicted beam resources are the activated TCI states for PDSCH reception. Network node 16 may configure in RRC or MAC CE that the activated TCI states are according to UE predictions (i.e., “follow” UE predictions). This may avoid increasing the MAC CE signaling since UE 22 may predict beams from many different TCI states. Hence, in this embodiment, network node 16 may avoid the MAC CE message.

[0205] Some embodiments provide a method for configuring a network node transmission of beams based on a prediction result report from UE 22. The steps of the method implemented in a UE 22 may include one more of the steps of the following example embodiments.

[0206] Embodiment 1. A method in a UE 22 configured to configure transmission of beams from the network node 16 based on a prediction result from the UE 22, the method including:

[0207] transmitting to network node 16 a prediction report for a set of beams;

[0208] receiving a prediction measurement configuration from network node 16 to measure one or more beams that are part of the prediction report; and

[0209] measuring and reporting the beams according to the received prediction measurement configuration.

[0210] Embodiment 2. The method of Embodiment 1, wherein the prediction measurement configuration includes a reference to a UE prediction configuration.

[0211] Embodiment 3. The method of Embodiment 2, wherein the UE prediction configuration may include a CSI-ReportConfig with a certain first CSI-ReportConfig ID; and / or the UE prediction measurement configuration can be another CSI-ReportConfig, with a second reportConfigID, where the CSI-ReportConfig includes a reference to the first CSI-ReportConfig ID.

[0212] Embodiment 4. The method of any one of Embodiments 1-3, wherein the prediction measurement configuration includes a reference to which of the UE time instances from the UE prediction report the prediction measurement corresponds to.

[0213] Embodiment 5. The method of any one of Embodiments 1-4, wherein the beams that are part of the UE prediction result report are transmitted by network node 16 in the order of a TCI-state ID, where the TCI state ID is configured as part of network node 16 configuringP113305W001 45the resources that UE 22 should predict (e.g. the set A resources in 3GPP NR).

[0214] Embodiment 6. The method of any one of Embodiments 1-5, wherein the prediction measurement configuration indicates that the UE 22 should measure the beams in the same order as they were reported in the prediction report.

[0215] Embodiment 7. The method of any one of Embodiments 1-6, wherein the prediction measurement configuration indicates that the UE 22 should measure the K first beams in the prediction report.

[0216] Embodiment 8. The method of any one of Embodiments 1-7, wherein the prediction measurement configuration indicates that the UE 22 should measure the beams that are within a RSRP threshold of the strongest beam in the prediction result report.

[0217] Embodiment 9. The method of any one of Embodiments 1-8, wherein the prediction report includes a probability of being the strongest beam, and the prediction measurement configuration indicates that the UE 22 should measure the highest probability beams such that the summed probability is above a threshold value.

[0218] Embodiment 10. The method of any one of Embodiments 1-9, wherein the UE 22 further receives a second measurement configuration, and the UE 22 only measures the beams in the first measurement configuration according to a certain rule, where the rule can comprise the UE 22 to only measure the beams in the first measurement configuration that have different TCI states to the second measurement configuration.

[0219] Embodiment 11. The method of any one of Embodiments 1-10, wherein the measurement configuration can comprise of an aPeriodic report configured in an associated report configuration.

[0220] Embodiment 12. The method of any one of Embodiments 1-11, wherein the measurement configuration can comprise an aPeriodic report configured in RRC,

[0221] In this case, the UE prediction configuration can be a CSI-ReportConfig with a certain first CSI-ReportConfig ID, and the UE prediction measurement configuration can, in addition to the CSI-ReportConfig, have an associatedCSIreportConfig, which includes a reference to the first CSI-ReportConfig ID.

[0222] Embodiment 13. The method of any one of Embodiments 1-12, wherein the measurement configuration can comprise of a semi-persistent report, configured in MAC CE.

[0223] Some additional embodiments may include one or more of the following:

[0224] Embodiment Al. A method in a user equipment (UE) configured to configure beam transmission from the network node based on a prediction result from the UE, the method comprising:P113305W001 46

[0225] transmitting, to the network node, a prediction report for a set of beams;

[0226] receiving, from the network node, a prediction measurement configuration, the prediction measurement configuration instructing the UE to measure one or more beams corresponding to the prediction report; and

[0227] measuring and reporting, to the network node, at least one beam of the one or more beams according to the received prediction measurement configuration.

[0228] Embodiment A2. The method of Embodiment Al, wherein the prediction measurement configuration includes a reference to a UE prediction configuration.

[0229] Embodiment A3. The method of Embodiment A2, wherein the UE prediction configuration includes a channel state information report configuration (CSI-ReportConfig) with a predetermined first channel state information report configuration identifier (CSI-ReportConfig ID), and the prediction measurement configuration of the UE is a second CSI-ReportConfig with a second CSI-reportConfig ID, the second CSI-ReportConfig including a reference to the first CSI-ReportConfig ID.

[0230] Embodiment A4. The method of any one of Embodiments A1-A3, wherein the prediction measurement configuration includes a reference to one or more UE time instances from the prediction report that a prediction measurement corresponds to.

[0231] Embodiment A5. The method of any one of Embodiments A1-A4, wherein the method further includes:

[0232] receiving, from the network node, the one or more beams corresponding to the prediction report in an order of a transmission configuration indicator state identifier (TCI-state ID), the TCI state ID being configured as part of a network node configuration of one or more resources that the UE is to predict.

[0233] Embodiment A6. The method of Embodiments A5, wherein the method further includes:

[0234] receiving, from the network node, two or more beams when the two or more beams have the same TCI state ID in an order of a beam identifier, the same TCI state ID being usable by the UE to identify the two or more beams, the beam identifier being a Channel State Information Reference Signal (CSI-RS) Resource Indicator (CRI) of a resource set that is predicted in a prediction result from the UE.

[0235] Embodiment A7. The method of any one of Embodiments A1-A6, wherein the prediction measurement configuration indicates that the UE is to measure at least two beams of the one or more beams in the same order as reported in the prediction report.

[0236] Embodiment A8. The method of any one of Embodiments A1-A7, wherein theP113305W001 47prediction measurement configuration indicates that the UE is to measure K first beams in the prediction report.

[0237] Embodiment A9. The method of any one of Embodiments A1-A8, wherein the prediction measurement configuration indicates that the UE is to measure at least one beam of the one or more beams that is within a reference signal received power (RSRP) threshold of the strongest beam in the prediction report.

[0238] Embodiment A 10. The method of any one of Embodiments A1-A9, wherein the prediction report includes a probability of a beam being the strongest beam, and the prediction measurement configuration indicates that the UE is to measure at least one beam having the highest probability of the strongest beam such that a summed probability is above a predetermined threshold value.

[0239] Embodiment All. The method of any one of Embodiments A1-A10, wherein one or both of:

[0240] the method further includes receiving a second measurement configuration and measuring only two or more beams in a first measurement configuration according to a predetermined rule; and

[0241] the predetermined rule instructing the UE to measure only the beams in the first measurement configuration that have TCI states that are different to the TCI states of the second measurement configuration.

[0242] Embodiment A 12. The method of any one of Embodiments Al -All, wherein the prediction measurement configuration comprises an aperiodic report configured in an associated report configuration.

[0243] Embodiment A 13. The method of any one of Embodiments A1-A12, wherein the prediction measurement configuration comprises an aperiodic report configured via radio resource control (RRC).

[0244] Embodiment A 14. The method of any one of Embodiments Al -Al 3, wherein the measurement configuration comprises a semi-persistent report configured in medium access control (MAC) control element (CE).

[0245] Embodiment Bl. A user equipment (UE) configured to configure beam transmission from the network node based on a prediction result from the UE, the UE being configured to and / or comprising processing circuitry and / or a radio interface configured to:

[0246] transmit, to network node, a prediction report for a set of beams;

[0247] receive, from the network node, a prediction measurement configuration, the prediction measurement configuration instructing the UE to measure one or more beams correspondingP113305W001 48to the prediction report; and

[0248] measure and report, to the network node, at least one beam of the one or more beams according to the received prediction measurement configuration.

[0249] Embodiment B2. The UE of Embodiment Bl, wherein the prediction measurement configuration includes a reference to a UE prediction configuration.

[0250] Embodiment B3. The UE of Embodiment B2, wherein the UE prediction configuration includes a channel state information report configuration (CSI-ReportConfig) with a predetermined first channel state information report configuration identifier (CSI-ReportConfig ID), and the prediction measurement configuration of the UE is a second CSI-ReportConfig with a second CSI-reportConfig ID, the second CSI-ReportConfig including a reference to the first CSI-ReportConfig ID.

[0251] Embodiment B4. The UE of any one of Embodiments B1-B3, wherein the prediction measurement configuration includes a reference to one or more UE time instances from the prediction report that a prediction measurement corresponds to.

[0252] Embodiment B5. The UE of any one of Embodiments B1-B4, wherein the UE is further configured to:

[0253] receive, from the network node, the one or more beams corresponding to the prediction report in an order of a transmission configuration indicator state identifier (TCI-state ID), the TCI state ID being configured as part of a network node configuration of one or more resources that the UE is to predict.

[0254] Embodiment B6. The UE of Embodiment B5, wherein the UE is further configured to:

[0255] receive, from the network node, two or more beams when the two or more beams have the same TCI state ID in an order of a beam identifier, the same TCI state ID being usable by the UE to identify the two or more beams, the beam identifier being a Channel State Information Reference Signal (CSI-RS) Resource Indicator (CRI) of a resource set that is predicted in a prediction result from the UE.

[0256] Embodiment B7. The UE of any one of Embodiments B1-B6, wherein the prediction measurement configuration indicates that the UE is to measure at least two beams of the one or more beams in the same order as reported in the prediction report.

[0257] Embodiment B8. The UE of any one of Embodiments B1-B7, wherein the prediction measurement configuration indicates that the UE is to measure K first beams in the prediction report.

[0258] Embodiment B9. The UE of any one of Embodiments B1-B8, wherein theP113305W001 49prediction measurement configuration indicates that the UE is to measure at least one beam of the one or more beams that is within a reference signal received power (RSRP) threshold of the strongest beam in the prediction report.

[0259] Embodiment BIO. The UE of any one of Embodiments B1-B9, wherein the prediction report includes a probability of a beam being the strongest beam, and the prediction measurement configuration indicates that the UE is to measure at least one beam having the highest probability of the strongest beam such that a summed probability is above a predetermined threshold value.

[0260] Embodiment B 11. The UE of any one of Embodiments Bl -BIO, wherein one or both of:

[0261] the UE is further configured to receive a second measurement configuration and measure only two or more beams in a first measurement configuration according to a predetermined rule; and

[0262] the predetermined rule instructing the UE to measure only the beams in the first measurement configuration that have TCI states that are different to the TCI states of the second measurement configuration.

[0263] Embodiment Bl 2. The UE of any one of Embodiments Bl-Bll, wherein the prediction measurement configuration comprises an aperiodic report configured in an associated report configuration.

[0264] Embodiment Bl 3. The UE of any one of Embodiments Bl -Bl 2, wherein the prediction measurement configuration comprises an aperiodic report configured via radio resource control (RRC).

[0265] Embodiment Bl 4. The UE of any one of Embodiments Bl -Bl 3, wherein the measurement configuration comprises a semi-persistent report configured in medium access control (MAC) control element (CE).

[0266] Embodiment Cl. A method in a network node configured to communicate with a user equipment (UE), the UE being configured to configure beam transmission from the network node based on a prediction result from the UE, the method comprising:

[0267] receiving, from the UE, a prediction report for a set of beams;

[0268] transmitting, to the UE, a prediction measurement configuration to the UE based on the prediction report, the prediction measurement configuration instructing the UE to measure one or more beams corresponding to the prediction report;

[0269] receiving, from the UE, a prediction measurement report including information about at least one beam of the one or more beams according to the received prediction measurementP113305W001 50configuration; and

[0270] performing one or more actions based on the prediction measurement report.

[0271] Embodiment C2. The method of Embodiment Cl, wherein the prediction measurement configuration includes a reference to a UE prediction configuration.

[0272] Embodiment C3. The method of Embodiment C2, wherein the UE prediction configuration includes a channel state information report configuration (CSI-ReportConfig) with a predetermined first channel state information report configuration identifier (CSI-ReportConfig ID), and the prediction measurement configuration of the UE is a second CSI-ReportConfig with a second CSI-reportConfig ID, the second CSI-ReportConfig including a reference to the first CSI-ReportConfig ID.

[0273] Embodiment C4. The method of any one of Embodiments C1-C3, wherein the prediction measurement configuration includes a reference to one or more UE time instances from the prediction report that a prediction measurement corresponds to.

[0274] Embodiment C5. The method of any one of Embodiments C1-C4, wherein the one or more actions include:

[0275] transmitting, to the UE, the one or more beams corresponding to the prediction report in an order of a transmission configuration indicator state identifier (TCI-state ID), the TCI state ID being configured as part of a network node configuration of one or more resources that the UE is to predict.

[0276] Embodiment C6. The method of Embodiment C5, wherein the method further includes:

[0277] transmitting, to the UE, two or more beams when the two or more beams have the same TCI state ID in an order of a beam identifier, the same TCI state ID being usable by the UE to identify the two or more beams, the beam identifier being a Channel State Information Reference Signal (CSI-RS) Resource Indicator (CRI) of a resource set that is predicted in a prediction result from the UE.

[0278] Embodiment C7. The method of any one of Embodiments C1-C6, wherein the prediction measurement configuration indicates that the UE is to measure at least two beams of the one or more beams in the same order as reported in the prediction report.

[0279] Embodiment C8. The method of any one of Embodiments C1-C7, wherein the prediction measurement configuration indicates that the UE is to measure K first beams in the prediction report.

[0280] Embodiment C9. The method of any one of Embodiments C1-C8, wherein the prediction measurement configuration indicates that the UE is to measure at least one beam ofP113305W001 51the one or more beams that is within a reference signal received power (RSRP) threshold of the strongest beam in the prediction report.

[0281] Embodiment CIO. The method of any one of Embodiments C1-C9, wherein the prediction report includes a probability of a beam being the strongest beam, and the prediction measurement configuration indicates that the UE is to measure at least one beam having the highest probability of the strongest beam such that a summed probability is above a predetermined threshold value.

[0282] Embodiment Cll. The method of any one of Embodiments Cl -CIO, wherein one or both of:

[0283] the method further includes transmitting a second measurement configuration for the UE to measure only two or more beams in a first measurement configuration according to a predetermined rule; and

[0284] the predetermined rule instructing the UE to measure only the beams in the first measurement configuration that have TCI states that are different to the TCI states of the second measurement configuration.

[0285] Embodiment Cl 2. The method of any one of Embodiments Cl -Cll, wherein the prediction measurement configuration comprises an aperiodic report configured in an associated report configuration.

[0286] Embodiment Cl 3. The method of any one of Embodiments Cl -Cl 2, wherein the prediction measurement configuration comprises an aperiodic report configured via radio resource control (RRC).

[0287] Embodiment Cl 4. The method of any one of Embodiments Cl -Cl 3, wherein the measurement configuration comprises a semi-persistent report configured in medium access control (MAC) control element (CE).

[0288] Embodiment DI. A network node configured to communicate with a user equipment (UE), the UE being configured to configure beam transmission from the network node based on a prediction result from the UE, the network node being configured to and / or comprising processing circuitry and / or a radio interface configured to:

[0289] receive, from the UE, a prediction report for a set of beams;

[0290] transmit, to the UE, a prediction measurement configuration to the UE based on the prediction report, the prediction measurement configuration instructing the UE to measure one or more beams corresponding to the prediction report;

[0291] receive, from the UE, a prediction measurement report including information about at least one beam of the one or more beams according to the received prediction measurementP113305W001 52configuration; and

[0292] perform one or more actions based on the prediction measurement report.

[0293] Embodiment D2. The network node of Embodiment DI, wherein the prediction measurement configuration includes a reference to a UE prediction configuration.

[0294] Embodiment D3. The network node of Embodiment D2, wherein the UE prediction configuration includes a channel state information report configuration (CSI-ReportConfig) with a predetermined first channel state information report configuration identifier (CSI -ReportConfig ID), and the prediction measurement configuration of the UE is a second CSI-ReportConfig with a second CSI-reportConfig ID, the second CSI-ReportConfig including a reference to the first CSI-ReportConfig ID.

[0295] Embodiment D4. The network node of any one of Embodiments D1-D3, wherein the prediction measurement configuration includes a reference to one or more UE time instances from the prediction report that a prediction measurement corresponds to.

[0296] Embodiment D5. The network node of any one of Embodiments D1-D4, wherein the network node being configured to perform one or more actions includes:

[0297] the network node being further configured to transmit, to the UE, the one or more beams corresponding to the prediction report in an order of a transmission configuration indicator state identifier (TCI-state ID), the TCI state ID being configured as part of a network node configuration of one or more resources that the UE is to predict.

[0298] Embodiment D6. The method of Embodiment D5, wherein the network node is further configured to:

[0299] transmit, to the UE, two or more beams when the two or more beams have the same TCI state ID in an order of a beam identifier, the same TCI state ID being usable by the UE to identify the two or more beams, the beam identifier being a Channel State Information Reference Signal (CSI-RS) Resource Indicator (CRI) of a resource set that is predicted in a prediction result from the UE.

[0300] Embodiment D7. The network node of any one of Embodiments D1-D6, wherein the prediction measurement configuration indicates that the UE is to measure at least two beams of the one or more beams in the same order as reported in the prediction report.

[0301] Embodiment D8. The network node of any one of Embodiments D1-D7, wherein the prediction measurement configuration indicates that the UE is to measure K first beams in the prediction report.

[0302] Embodiment D9. The network node of any one of Embodiments D1-D8, wherein the prediction measurement configuration indicates that the UE is to measure at least one beamP113305W001 53of the one or more beams that is within a reference signal received power (RSRP) threshold of the strongest beam in the prediction report.

[0303] Embodiment DIO. The network node of any one of Embodiments D1-D9, wherein the prediction report includes a probability of a beam being the strongest beam, and the prediction measurement configuration indicates that the UE is to measure at least one beam having the highest probability of the strongest beam such that a summed probability is above a predetermined threshold value.

[0304] Embodiment Dll. The network node of any one of Embodiments D 1 -D 10, wherein one or both of:

[0305] the network node is further configured to transmit a second measurement configuration for the UE to measure only two or more beams in a first measurement configuration according to a predetermined rule; and

[0306] the predetermined rule instructing the UE to measure only the beams in the first measurement configuration that have TCI states that are different to the TCI states of the second measurement configuration.

[0307] Embodiment D 12. The network node of any one of Embodiments D 1 -D 11 , wherein the prediction measurement configuration comprises an aperiodic report configured in an associated report configuration.

[0308] Embodiment D 13. The network node of any one of Embodiments D 1 -D 12, wherein the prediction measurement configuration comprises an aperiodic report configured via radio resource control (RRC).

[0309] Embodiment D 14. The network node of any one of Embodiments D 1 -D 13 , wherein the measurement configuration comprises a semi-persistent report configured in medium access control (MAC) control element (CE).

[0310] As will be appreciated by one of skill in the art, the concepts described herein may be embodied as a method, data processing system, computer program product and / or computer storage media storing an executable computer program. Accordingly, the concepts described herein may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects all generally referred to herein as a “circuit” or “module.” Any process, step, action and / or functionality described herein may be performed by, and / or associated to, a corresponding module, which may be implemented in software and / or firmware and / or hardware. Furthermore, the disclosure may take the form of a computer program product on a tangible computer usable storage medium having computer program code embodied in the medium that can be executed by a computer.P113305W001 54Any suitable tangible computer readable medium may be utilized including hard disks, CD-ROMs, electronic storage devices, optical storage devices, or magnetic storage devices.

[0311] Some embodiments are described herein with reference to flowchart illustrations and / or block diagrams of methods, systems and computer program products. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer (to thereby create a special purpose computer), special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0312] These computer program instructions may also be stored in a computer readable memory or storage medium that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instruction means which implement the function / act specified in the flowchart and / or block diagram block or blocks.

[0313] The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0314] It is to be understood that the functions / acts noted in the blocks may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality / acts involved. Although some of the diagrams include arrows on communication paths to show a primary direction of communication, it is to be understood that communication may occur in the opposite direction to the depicted arrows.

[0315] Computer program code for carrying out operations of the concepts described herein may be written in an object oriented programming language such as Python, Java® or C++. However, the computer program code for carrying out operations of the disclosure may also be written in conventional procedural programming languages, such as the "C" programming language. The program code may execute entirely on the user's computer, partly on the user'sP113305WG01 55computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer. In the latter scenario, the remote computer may be connected to the user's computer through a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0316] Many different embodiments have been disclosed herein, in connection with the above description and the drawings. It will be understood that it would be unduly repetitious and obfuscating to literally describe and illustrate every combination and subcombination of these embodiments. Accordingly, all embodiments can be combined in any way and / or combination, and the present specification, including the drawings, shall be construed to constitute a complete written description of all combinations and subcombinations of the embodiments described herein, and of the manner and process of making and using them, and shall support claims to any such combination or subcombination.

[0317] Abbreviations that may be used in the preceding description include:

[0318] 3GPP 3rd Generation Partnership Project

[0319] 5G Fifth Generation

[0320] ACK Acknowledgement

[0321] Al Artificial Intelligence

[0322] AoA Angle of Arrival

[0323] CORESET Control Resource Set

[0324] CSI Channel State Information

[0325] CSI-RS CSI Reference Signal

[0326] CRI CSI-RS resource indicator

[0327] DCI Downlink Control Information

[0328] DoA Direction of Arrival

[0329] DL Downlink

[0330] DMRS Downlink Demodulation Reference Signals

[0331] FDD Frequency-Division Duplex

[0332] FR2 Frequency Range 2

[0333] HARQ Hybrid Automatic Repeat Request

[0334] ID identity

[0335] gNB gNodeB

[0336] MAC Medium Access Control

[0337] MAC-CE MAC Control ElementP113305W001 56

[0338] ML Machine Learning

[0339] NR New Radio

[0340] NW Network

[0341] OFDM Orthogonal Frequency Division Multiplexing

[0342] PBCH Physical Broadcast Channel

[0343] PCI Physical Cell Identity

[0344] PDCCH Physical Downlink Control Channel

[0345] PDSCH Physical Downlink Shared Channel

[0346] PRB Physical Resource Block

[0347] QCL Quasi co-located

[0348] RB Resource Block

[0349] RRC Radio Resource Control

[0350] RSRP Reference Signal Received Power

[0351] RSRQ Reference Signal Received Quality

[0352] RSSI Received Signal Strength Indicator

[0353] SCS Subcarrier Spacing

[0354] SINR Signal to Interference plus Noise Ratio

[0355] SSB Synchronization Signal Block

[0356] RL Reinforcement Learning

[0357] RS Reference Signal

[0358] Rx Receiver

[0359] TB Transport Block

[0360] TDD Time-Division Duplex

[0361] TCI Transmission configuration indication

[0362] TRP Transmission / Reception Point

[0363] Tx Transmitter

[0364] UE User Equipment

[0365] UL Uplink

[0366] ZP-CSI-RS Zero power CSI-RS

[0367] It will be appreciated by persons skilled in the art that the embodiments described herein are not limited to what has been particularly shown and described herein above. In addition, unless mention was made above to the contrary, it should be noted that all of the accompanying drawings are not to scale. A variety of modifications and variations are possible in light of the above teachings without departing from the scope of the following claims.

Claims

1. P113305W001 57CLAIMS1. A method in a user equipment, UE, (22) configured to configure beam transmission from a network node (16) based on a prediction result from the UE (22), the method comprising:transmitting (SI 00), to the network node (16), a prediction report for a set of beams; receiving (S102), from the network node (16), a prediction measurement configuration, the prediction measurement configuration instructing the UE (22) to measure one or more beams corresponding to the prediction report; andmeasuring and reporting (S104), to the network node (16), at least one beam of the one or more beams according to the received prediction measurement configuration.

2. The method of Claim 1, wherein the prediction measurement configuration includes a reference to a UE prediction configuration.

3. The method of Claim 2, wherein the UE prediction configuration includes a channel state information report configuration, CSI-ReportConfig, with a predetermined first channel state information report configuration identifier, CSI-ReportConfig ID, and the prediction measurement configuration of the UE (22) is a second CSI-ReportConfig with a second CSI-reportConfig ID, the second CSI-ReportConfig including a reference to the first CSI-ReportConfig ID.

4. The method of any one of Claims 1-3, wherein the prediction measurement configuration includes a reference to one or more UE time instances from the prediction report that a prediction measurement corresponds to.

5. The method of any one of Claims 1-4, wherein the method further includes: receiving, from the network node (16), the one or more beams corresponding to the prediction report in an order of a transmission configuration indicator state identifier, TCI-state ID, the TCI state ID being configured as part of a network node configuration of one or more resources that the UE (22) is to predict.

6. The method of Claim 5, wherein the method further includes: receiving, from the network node (16), two or more beams when the two or moreP113305W001 58beams have the same TCI state ID in an order of a beam identifier, the same TCI state ID being usable by the UE (22) to identify the two or more beams, the beam identifier being a Channel State Information Reference Signal, CSI-RS, Resource Indicator, CRI, of a resource set that is predicted in a prediction result from the UE (22).

7. The method of any one of Claims 1-6, wherein the prediction measurement configuration indicates that the UE (22) is to measure at least two beams of the one or more beams in the same order as reported in the prediction report.

8. The method of any one of Claims 1-7, wherein the prediction measurement configuration indicates that the UE (22) is to measure K first beams in the prediction report.

9. The method of any one of Claims 1-8, wherein the prediction measurement configuration indicates that the UE (22) is to measure at least one beam of the one or more beams that is within a reference signal received power, RSRP, threshold of the strongest beam in the prediction report.

10. The method of any one of Claims 1-9, wherein the prediction report includes a probability of a beam being the strongest beam, and the prediction measurement configuration indicates that the UE (22) is to measure at least one beam having the highest probability of the strongest beam such that a summed probability is above a predetermined threshold value.

11. The method of any one of Claims 1-10, wherein one or both of:the method further includes receiving a second measurement configuration and measuring only two or more beams in a first measurement configuration according to a predetermined rule; andthe predetermined rule instructing the UE (22) to measure only the beams in the first measurement configuration that have TCI states that are different to the TCI states of the second measurement configuration.

12. The method of any one of Claims 1-11, wherein the prediction measurement configuration comprises an aperiodic report configured in an associated report configuration.P113305W001 5913. The method of any one of Claims 1-12, wherein the prediction measurement configuration comprises an aperiodic report configured via radio resource control, RRC.

14. The method of any one of Claims 1-13, wherein the measurement configuration comprises a semi-persistent report configured in medium access control, MAC, control element, CE.

15. A user equipment, UE, (22) configured to configure beam transmission from a network node (16) based on a prediction result from the UE (22), the UE (22) being configured to:transmit, to network node (16), a prediction report for a set of beams;receive, from the network node (16), a prediction measurement configuration, the prediction measurement configuration instructing the UE (22) to measure one or more beams corresponding to the prediction report; andmeasure and report, to the network node (16), at least one beam of the one or more beams according to the received prediction measurement configuration.

16. The UE (22) of Claim 15, wherein the prediction measurement configuration includes a reference to a UE prediction configuration.

17. The UE (22) of Claim 16, wherein the UE prediction configuration includes a channel state information report configuration, CSI-ReportConfig, with a predetermined first channel state information report configuration identifier, CSI-ReportConfig ID, and the prediction measurement configuration of the UE (22) is a second CSI-ReportConfig with a second CSI-reportConfig ID, the second CSI-ReportConfig including a reference to the first CSI-ReportConfig ID.

18. The UE (22) of any one of Claims 15-17, wherein the prediction measurement configuration includes a reference to one or more UE time instances from the prediction report that a prediction measurement corresponds to.

19. The UE (22) of any one of Claims 15-18, wherein the UE (22) is further configured to:receive, from the network node (16), the one or more beams corresponding to theP113305W001 60prediction report in an order of a transmission configuration indicator state identifier, TCI-state ID, the TCI state ID being configured as part of a network node configuration of one or more resources that the UE (22) is to predict.

20. The UE (22) of Claim 19, wherein the UE (22) is further configured to: receive, from the network node (16), two or more beams when the two or more beams have the same TCI state ID in an order of a beam identifier, the same TCI state ID being usable by the UE (22) to identify the two or more beams, the beam identifier being a Channel State Information Reference Signal, CSI-RS, Resource Indicator, CRI, of a resource set that is predicted in a prediction result from the UE (22).

21. The UE (22) of any one of Claims 15-20, wherein the prediction measurement configuration indicates that the UE (22) is to measure at least two beams of the one or more beams in the same order as reported in the prediction report.

22. The UE (22) of any one of Claims 15-21, wherein the prediction measurement configuration indicates that the UE (22) is to measure K first beams in the prediction report.

23. The UE (22) of any one of Claims 15-22, wherein the prediction measurement configuration indicates that the UE (22) is to measure at least one beam of the one or more beams that is within a reference signal received power, RSRP, threshold of the strongest beam in the prediction report.

24. The UE (22) of any one of Claims 15-23, wherein the prediction report includes a probability of a beam being the strongest beam, and the prediction measurement configuration indicates that the UE (22) is to measure at least one beam having the highest probability of the strongest beam such that a summed probability is above a predetermined threshold value.

25. The UE (22) of any one of Claims 15-24, wherein one or both of:the UE (22) is further configured to receive a second measurement configuration and measure only two or more beams in a first measurement configuration according to a predetermined rule; andthe predetermined rule instructing the UE (22) to measure only the beams in the firstP113305W001 61measurement configuration that have TCI states that are different to the TCI states of the second measurement configuration.

26. The UE (22) of any one of Claims 15-25, wherein the prediction measurement configuration comprises an aperiodic report configured in an associated report configuration.

27. The UE (22) of any one of Claims 15-26, wherein the prediction measurement configuration comprises an aperiodic report configured via radio resource control, RRC.

28. The UE (22) of any one of Claims 15-27, wherein the measurement configuration comprises a semi-persistent report configured in medium access control, MAC, control element, CE.

29. A method in a network node (16) configured to communicate with a user equipment, UE, (22) the UE (22) being configured to configure beam transmission from the network node (16) based on a prediction result from the UE (22), the method comprising: receiving (S106), from the UE (22), a prediction report for a set of beams; transmitting (S108), to the UE (22), a prediction measurement configuration to the UE (22) based on the prediction report, the prediction measurement configuration instructing the UE (22) to measure one or more beams corresponding to the prediction report;receiving (SI 10), from the UE (22), a prediction measurement report including information about at least one beam of the one or more beams according to the received prediction measurement configuration; andperforming one or more actions based on the prediction measurement report.

30. The method of Claim 29, wherein the prediction measurement configuration includes a reference to a UE prediction configuration.

31. The method of Claim 30, wherein the UE prediction configuration includes a channel state information report configuration, CSI-ReportConfig, with a predetermined first channel state information report configuration identifier, CSI-ReportConfig ID, and the prediction measurement configuration of the UE (22) is a second CSI-ReportConfig with a second CSI-reportConfig ID, the second CSI-ReportConfig including a reference to the first CSI-ReportConfig ID.P113305W001 6232. The method of any one of Claims 29-31, wherein the prediction measurement configuration includes a reference to one or more UE time instances from the prediction report that a prediction measurement corresponds to.

33. The method of any one of Claims 29-32, wherein the one or more actions include:transmitting, to the UE (22), the one or more beams corresponding to the prediction report in an order of a transmission configuration indicator state identifier, TCI-state ID, the TCI state ID being configured as part of a network node configuration of one or more resources that the UE (22) is to predict.

34. The method of Claim 33, wherein the method further includes: transmitting, to the UE (22), two or more beams when the two or more beams have the same TCI state ID in an order of a beam identifier, the same TCI state ID being usable by the UE (22) to identify the two or more beams, the beam identifier being a Channel State Information Reference Signal, CSI-RS, Resource Indicator, CRI, of a resource set that is predicted in a prediction result from the UE (22).

35. The method of any one of Claims 29-34, wherein the prediction measurement configuration indicates that the UE (22) is to measure at least two beams of the one or more beams in the same order as reported in the prediction report.

36. The method of any one of Claims 29-35, wherein the prediction measurement configuration indicates that the UE (22) is to measure K first beams in the prediction report.

37. The method of any one of Claims 29-36, wherein the prediction measurement configuration indicates that the UE (22) is to measure at least one beam of the one or more beams that is within a reference signal received power, RSRP, threshold of the strongest beam in the prediction report.

38. The method of any one of Claims 29-37, wherein the prediction report includes a probability of a beam being the strongest beam, and the prediction measurement configuration indicates that the UE (22) is to measure at least one beam having the highestP113305W001 63probability of the strongest beam such that a summed probability is above a predetermined threshold value.

39. The method of any one of Claims 29-38, wherein one or both of:the method further includes transmitting a second measurement configuration for the UE (22) to measure only two or more beams in a first measurement configuration according to a predetermined rule; andthe predetermined rule instructing the UE (22) to measure only the beams in the first measurement configuration that have TCI states that are different to the TCI states of the second measurement configuration.

40. The method of any one of Claims 29-39, wherein the prediction measurement configuration comprises an aperiodic report configured in an associated report configuration.

41. The method of any one of Claims 29-40, wherein the prediction measurement configuration comprises an aperiodic report configured via radio resource control, RRC.

42. The method of any one of Claims 29-41, wherein the measurement configuration comprises a semi-persistent report configured in medium access control, MAC, control element, CE.

43. A network node (16) configured to communicate with a user equipment, UE, (22) the UE (22) being configured to configure beam transmission from the network node (16) based on a prediction result from the UE (22), the network node (16) being configured to:receive, from the UE (22), a prediction report for a set of beams;transmit, to the UE (22), a prediction measurement configuration to the UE (22) based on the prediction report, the prediction measurement configuration instructing the UE (22) to measure one or more beams corresponding to the prediction report;receive, from the UE (22), a prediction measurement report including information about at least one beam of the one or more beams according to the received prediction measurement configuration; andperform one or more actions based on the prediction measurement report.P113305W001 6444. The network node (16) of Claim 43, wherein the prediction measurement configuration includes a reference to a UE prediction configuration.

45. The network node (16) of Claim 44, wherein the UE prediction configuration includes a channel state information report configuration, CSI-ReportConfig, with a predetermined first channel state information report configuration identifier, CSI-ReportConfig ID, and the prediction measurement configuration of the UE (22) is a second CSI-ReportConfig with a second CSI-reportConfig ID, the second CSI-ReportConfig including a reference to the first CSI-ReportConfig ID.

46. The network node (16) of any one of Claims 43-45, wherein the prediction measurement configuration includes a reference to one or more UE time instances from the prediction report that a prediction measurement corresponds to.

47. The network node (16) of any one of Claims 43-46, wherein the network node (16) being configured to perform one or more actions includes:the network node (16) being further configured to transmit, to the UE (22), the one or more beams corresponding to the prediction report in an order of a transmission configuration indicator state identifier, TCI-state ID, the TCI state ID being configured as part of a network node configuration of one or more resources that the UE (22) is to predict.

48. The network node (16) of Claim 47, wherein the network node (16) is further configured to:transmit, to the UE (22), two or more beams when the two or more beams have the same TCI state ID in an order of a beam identifier, the same TCI state ID being usable by the UE (22) to identify the two or more beams, the beam identifier being a Channel State Information Reference Signal, CSI-RS, Resource Indicator, CRI, of a resource set that is predicted in a prediction result from the UE (22).

49. The network node (16) of any one of Claims 43-48, wherein the prediction measurement configuration indicates that the UE (22) is to measure at least two beams of the one or more beams in the same order as reported in the prediction report.

50. The network node (16) of any one of Claims 43-49, wherein the predictionP113305W001 65measurement configuration indicates that the UE (22) is to measure K first beams in the prediction report.

51. The network node (16) of any one of Claims 43-50, wherein the prediction measurement configuration indicates that the UE (22) is to measure at least one beam of the one or more beams that is within a reference signal received power, RSRP, threshold of the strongest beam in the prediction report.

52. The network node (16) of any one of Claims 43-51, wherein the prediction report includes a probability of a beam being the strongest beam, and the prediction measurement configuration indicates that the UE (22) is to measure at least one beam having the highest probability of the strongest beam such that a summed probability is above a predetermined threshold value.

53. The network node (16) of any one of Claims 43-52, wherein one or both of: the network node (16) is further configured to transmit a second measurement configuration for the UE (22) to measure only two or more beams in a first measurement configuration according to a predetermined rule; andthe predetermined rule instructing the UE (22) to measure only the beams in the first measurement configuration that have TCI states that are different to the TCI states of the second measurement configuration.

54. The network node (16) of any one of Claims 43-53, wherein the prediction measurement configuration comprises an aperiodic report configured in an associated report configuration.

55. The network node (16) of any one of Claims 43-54, wherein the prediction measurement configuration comprises an aperiodic report configured via radio resource control, RRC.

56. The network node (16) of any one of Claims 43-55, wherein the measurement configuration comprises a semi-persistent report configured in medium access control, MAC, control element, CE.

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