Abstract: In some example embodiments, there may be provided a method that includes receiving, by a user equipment, at least a reporting configuration from a network, wherein the reporting configuration is associated with at least a first group of channel measurement resources to be measured by the user equipment and a second group of channel measurement resources for which beam indexes or beam measurements are predicted by a machine learning model comprised at the user equipment; providing, as an input to the machine learning model comprised at the user equipment, at least a first set of measurements on the first group of channel measurement resources; and reporting, to the network, channel measurement information, wherein the channel measurement information contains at least an index representing a channel measurement resource of the second group of channel measurement resources. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: Systems, methods, apparatuses, and computer program products for beam failure detection and/or beam failure recovery procedures, for instance, for multi-panel user equipment (UEs) are provided. One method may include transmitting, by a UE, a beam report to a network to indicate an association between at least two downlink reference signals and at least two antenna panels at the user equipment or to indicate a selection of at least two downlink reference signals that will be used for downlink reception at the user equipment simultaneously. The method may also include activating the antenna panels corresponding to one or more of the at least two downlink reference signals, based on transmission configuration indicator (TCI) states updated by the network or based on the selection of the at least two downlink reference signals, and detecting beam failure based on at least two sets of beam failure detection resources for the active antenna panels.

Abstract: Various techniques are provided for communicating a request for channel prior information associated with another entity, receiving the channel prior information, predicting a beam for communication between the UE and the network device based on the channel prior information and using a machine learning beam prediction model, indicating channel state information-reference signal (CSI-RS) resource information from a CSI-RS resource table based on the predicted beam, and communicating selected CSI-RS resource information.

Abstract: Improved techniques of include performing random access in an antenna-distributed network include introducing a new parameter, as reduced Tx power indicator, in the RAR of Msg-2 that indicates a reduced total Tx power of all antenna nodes of the antenna-distributed network. When the gNB receives a Msg-1, the gNB determines a subset of the distributed antenna nodes to which the gNB will send the RAR in the Msg-2 with the reduced total Tx power needed to transmit the Msg-2 to only those antenna nodes in the subset. The RAR includes a new parameter indicating the reduced total Tx power used to transmit the RAR to the UE. The UE then uses the value of the new parameter to estimate a pathloss for the Msg-3 and PUSCH transmission.

Abstract: Systems, methods, apparatuses, and/or computer program products for power headroom report (PHR) triggering and reporting, e.g., for multiple transmission-reception point (multi-TRP) physical uplink shared channel (PUSCH) repetition operation, are provided.

Abstract: Systems, methods, apparatuses, and computer program products for beam failure detection and/or beam failure recovery procedures, for instance, for multi-panel user equipment (UEs) are provided. One method may include transmitting, by a UE, a beam report to a network to indicate an association between at least two downlink reference signals and at least two antenna panels at the user equipment or to indicate a selection of at least two downlink reference signals that will be used for downlink reception at the user equipment simultaneously. The method may also include activating the antenna panels corresponding to one or more of the at least two downlink reference signals, based on transmission configuration indicator (TCI) states updated by the network or based on the selection of the at least two downlink reference signals, and detecting beam failure based on at least two sets of beam failure detection resources for the active antenna panels.

Abstract: Embodiments of the present disclosure disclose devices, methods and apparatuses for a beam reporting. A terminal device receives a beam reporting configuration from a network device. The beam reporting configuration indicates at least one set of beams for at least one of beam measurements or beam predictions. Each beam of at least one set of beams is associated with a cell of multiple cells which are able to be measured by the terminal device. Then, the terminal device performs a reporting of at least one beam associated with the at least one set of beams based on the beam reporting configuration. The at least one beam comprises a predicted beam which is associated to a cell of multiple cells.

Abstract: Various techniques are provided for determining, by a base station, a beam coverage in a cell, the beam coverage including angle range for an azimuth and an angle range for an elevation, determining, by the base station, an angle quantization step, generating, by the base station, a grid of narrow beams based on the angle range and the angle quantization step, computing, by the base station, a beam index matrix based on the grid of narrow beams, generating, by the base station, a wide beam codebook based on the grid of narrow beams, and transmitting, by the base station, at least one of a CSI-RS resource and a SSB resource using multiple-TX-directions wide beams based on the wide beam codebook.

Abstract: Systems, methods, apparatuses, and computer program products for a user equipment downlink transmission beam prediction framework with machine learning are provided. For example, a method can include indicating a beam prediction capability of a user equipment to a network. The method can also include receiving network antenna configuration identification responsive to the indicated beam prediction capability. The method can further include selecting a model for beam prediction based on the network antenna configuration identification. The method can additionally include receiving a configuration of reference signal resources. The method can also include measuring reference signals based on the configuration of reference signal resources. The method can further include performing beam prediction based on the measured references signals using the selected model. The method can additionally include reporting a beam prediction to the network.

Abstract: Systems, methods, apparatuses, and computer program products for beam prediction by a user equipment using angle assistance information are provided. For example, a method can include receiving assistance information from a network and measuring a plurality of reference signal transmissions from the network. The method can also include predicting best beam or reference signal received power using a model at a user equipment. The assistance information and the measurements of the plurality of reference signal transmissions are input to the model. Reporting the best beam or reference signal received power as predicted to the network can also be performed.

Abstract: In some example embodiments, there may be provided a method that includes receiving, by a user equipment, at least a reporting configuration from a network, wherein the reporting configuration is associated with at least a first group of channel measurement resources to be measured by the user equipment and a second group of channel measurement resources for which beam indexes or beam measurements are predicted by a machine learning model comprised at the user equipment; providing, as an input to the machine learning model comprised at the user equipment, at least a first set of measurements on the first group of channel measurement resources; and reporting, to the network, channel measurement information, wherein the channel measurement information contains at least an index representing a channel measurement resource of the second group of channel measurement resources. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: Systems, methods, apparatuses, and computer program products for initialization and operation of intelligent reflecting surface. The method may include transmitting a synchronization signal block burst to a reflection surface device. The method may also include receiving a first measurement report of the synchronization signal block burst received at the reflection surface device. The method may further include determining a transmit beam for a subsequent synchronization signal block burst based on a highest strength of signals in the synchronization signal block burst. In addition, the method may include receiving a second measurement report of the subsequent synchronization signal block burst. Further, the method may include determining an arrival angle of the subsequent synchronization signal block burst at the reflection surface device. The method may also include establishing a connection with the reflection surface device based on the transmit beam and the arrival angle.

Abstract: Certain example embodiments provide systems, methods, apparatuses, and computer program products for enhanced traffic co-existence with multi-panel user equipment (UE). For example, certain embodiments may avoid excess dropping and/or cancellation. Taking inter-UE uplink (UL) prioritization as one example, whenever a network node has to accommodate higher-priority traffic on resources overlapping with ongoing and/or incoming lower-priority transmissions, certain embodiments may instruct a UE to transmit on spare antenna panel(s).

Abstract: Systems, methods, apparatuses, and computer program products for initialization and operation of intelligent reflecting surface. The method may include transmitting a synchronization signal block burst to a reflection surface device. The method may also include receiving a first measurement report of the synchronization signal block burst received at the reflection surface device. The method may further include determining a transmit beam for a subsequent synchronization signal block burst based on a highest strength of signals in the synchronization signal block burst. In addition, the method may include receiving a second measurement report of the subsequent synchronization signal block burst. Further, the method may include determining an arrival angle of the subsequent synchronization signal block burst at the reflection surface device. The method may also include establishing a connection with the reflection surface device based on the transmit beam and the arrival angle.

Abstract: Systems, methods, apparatuses, and computer program products for intelligent reflecting surface configuration. The method may include scanning for synchronization signal blocks and reflection surface synchronization signal blocks during a cell search at a frequency on a synchronization raster. The method may also include determining whether a synchronization signal block or a reflection surface synchronization signal block is detected as a result of the scanning. The method may further include selecting a detected synchronization signal block or a detected reflection synchronization signal block based on a measurement metric of the detected synchronization signal block and the detected reflection synchronization signal block. In addition, the method may include performing an access procedure with a network element using the selected synchronization signal block or the selected reflection synchronization signal block.

Abstract: Various techniques are provided for configuring, by a network device for a user equipment (UE), a semi-persistent resource allocation configuration for a second cell, causing, by the network device, communication between the UE and the second cell using the semi-persistent resource allocation configuration based on an unavailability of a first cell, and causing, by the network device, the communication between the UE and the second cell using the semi-persistent resource allocation configuration to stop based on an availability of the first cell.

Abstract: Certain example embodiments provide systems, methods, apparatuses, and computer program products for enhanced traffic co-existence with multi-panel user equipment (UE). For example, certain embodiments may avoid excess dropping and/or cancellation. Taking inter-UE uplink (UL) prioritization as one example, whenever a network node has to accommodate higher-priority traffic on resources overlapping with ongoing and/or incoming lower-priority transmissions, certain embodiments may instruct a UE to transmit on spare antenna panel(s).