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.

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.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a wireless node may transmit configuration information indicating a first precoding matrix indicator (PMI) parameter and a second PMI parameter, wherein the first PMI parameter is associated with non-simultaneous activity of a distributed unit (DU) and a mobile termination (MT), and wherein the second PMI parameter is associated with simultaneous activity of the DU and the MT. The wireless node may perform a communication in accordance with a selected PMI parameter of the first PMI parameter and the second PMI parameter based at least in part on whether the DU and the MT are simultaneously active. Numerous other aspects are described.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a wireless node may transmit configuration information indicating a first precoding matrix indicator (PMI) parameter and a second PMI parameter, wherein the first PMI parameter is associated with non-simultaneous activity of a distributed unit (DU) and a mobile termination (MT), and wherein the second PMI parameter is associated with simultaneous activity of the DU and the MT. The wireless node may perform a communication in accordance with a selected PMI parameter of the first PMI parameter and the second PMI parameter based at least in part on whether the DU and the MT are simultaneously active. Numerous other aspects are described.

A method for operating a power transmitting device in a wireless communication system is provided. The method includes receiving feedback information corresponding to power harvest from a plurality of electronic devices, performing beam scheduling based on the feedback information, and transmitting power to the plurality of the electronic devices using at least one beam based on the beam scheduling.

A method for operating a power transmitting device in a wireless communication system is provided. The method includes receiving feedback information corresponding to power harvest from a plurality of electronic devices, performing beam scheduling based on the feedback information, and transmitting power to the plurality of the electronic devices using at least one beam based on the beam scheduling.

An operation method of a terminal may comprise receiving, from a base station, information of target transmission points targeted for a report of first channel state information (CSI) among the plurality of transmission points; receiving a first CSI-reference signal (CSI-RS) from the target transmission points; transmitting the first CSI determined based on the first CSI-RS to the base station; receiving, from the base station, information on a first transmission point determined based on the first CSI; receiving, from the first transmission point indicated by the information on the first transmission point, a second CSI-RS; receiving, from the base station, information on a requirement; and transmitting, to the base station, a second CSI including a transmission parameter for achieving the requirement.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may perform a measurement operation to attain multiple measurements to report to a base station. The measurements may correspond to a first number of bits if reported. The UE may compress the measurements using an encoder neural network (NN) to obtain an encoder output indicating the measurements. This encoder output may include a second number of bits that is less than the first number of bits. The UE may report the encoder output to the base station in this compressed form. At the base station, the encoder output may be decompressed according to a decoder NN. Once the base station decompresses the encoder output, the UE and base station may communicate according to the measurements determined from the decompression. In some cases, the base station may perform load redistribution based on the measurements.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may perform a measurement operation to attain multiple measurements to report to a base station. The measurements may correspond to a first number of bits if reported. The UE may compress the measurements using an encoder neural network (NN) to obtain an encoder output indicating the measurements. This encoder output may include a second number of bits that is less than the first number of bits. The UE may report the encoder output to the base station in this compressed form. At the base station, the encoder output may be decompressed according to a decoder NN. Once the base station decompresses the encoder output, the UE and base station may communicate according to the measurements determined from the decompression. In some cases, the base station may perform load redistribution based on the measurements.

A computer-implemented method comprising: monitoring transmissions representing estimation of a wireless channel, between at least one wireless access point (AP) and a plurality of wireless stations (STAs); at a training stage, training a machine learning model on a training dataset comprising: (i) a plurality dataframes of a standard beamforming protocol associated with at least some of the monitored transmissions, and (ii) labels indicating an association between the dataframes and the STAs; and at an inference stage, applying the trained machine learning model to a target transmission representing estimation of a wireless channel, to predict whether the target transmission was transmitted from one of the STAs.