Abstract: Disclosed is a method for determining beam search space by a user equipment (UE), including determining a geo-location of a base station and a geo-location of the UE at a current time instance, determining a relative angle of reception from the base station based on the geo-location of the base station and the geo-location of the UE at the current time instance, determining a beam search space comprising a plurality of beams, for measurement, centered at the relative angle of reception, and determining an optimal beam from within the beam search space based on the measurement of the plurality of beams in the beam search space.

Abstract: A method is provided. The method includes receiving, by a User Equipment (UE), a plurality of transmit (Tx) beams from a Base Station (BS), on a plurality of receive (Rx) beams. The method includes determining the beam parameters associated with a plurality of Tx and Rx beam pairs changing at a frequency above a first threshold. The method includes deriving a beam selection metric for the plurality of Tx and Rx beam pairs using the associated beam parameters. The method includes identifying a subset of Tx and Rx beam pairs from the plurality of Tx and Rx beam pairs with the beam selection metric above a second threshold. The method includes prioritizing scanning of the identified subset of Tx and Rx beam pairs to select a Tx and Rx beam pair for communication.

Abstract: Methods and systems for reporting CSI and selecting optimal beams using ML. The CSI report is sent to a gNB, which includes feedback parameters, computed and predicted using ML. The feedback parameters are computed using measurements performed using CSI-RS. Values of the feedback parameters likely at future, based on channel variation and the measurements, are pre-dieted using ML. The computed and predicted feedback parameters are included in the CSI report. Optimal CSI-RS resource allocation and optimal CSI reporting periodicity are determined using ML and sent to the gNB. The CSI report is encoded using the ML based model. The RSRP of the beams are predicted using ML for beam selection.

Abstract: A communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT), which may be applied to intelligent services based on the 5G communication technology and IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The methods and systems control transmission power of User Equipment (UE) based on user interactions. The methods and systems include detecting user interactions with transmitted signals of the UE using information collected from at least one sensor, and using the information collected from the at least one sensor to estimate the transmission power of the UE for compliance with regulatory organization limits for user exposer to signals.

Abstract: Disclosed is a method for determining beam search space by a user equipment (UE), including determining a geo-location of a base station and a geo-location of the UE at a current time instance, determining a relative angle of reception from the base station based on the geo-location of the base station and the geo-location of the UE at the current time instance, determining a beam search space comprising a plurality of beams, for measurement, centered at the relative angle of reception, and determining an optimal beam from within the beam search space based on the measurement of the plurality of beams in the beam search space.

Abstract: A communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT), which may be applied to intelligent services based on the 5G communication technology and IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The methods and systems control transmission power of User Equipment (UE) based on user interactions. The methods and systems include detecting user interactions with transmitted signals of the UE using information collected from at least one sensor, and using the information collected from the at least one sensor to estimate the transmission power of the UE for compliance with regulatory organization limits for user exposer to signals.