Abstract:
Embodiments herein provide methods and systems for achieving D2D communications through unlicensed spectrum. The D2D-U operations can be achieved through multiple approaches. In the first approach, the devices can communicate with each other without any involvement of network. In the second approach, the network provides partial assistance to the devices such as allocating time and frequency resources for D2D-U communication. In the third approach, the network completely controls D2D-U operations between the devices. The embodiments include allocating time and frequency resources for transmission of PSBCH, PSDCH, PSCCH, and PSSCH. The allocations of the time and frequency resources meet regulatory requirements of minimum bandwidth utilization for unlicensed band operation. The embodiments include distributing power in narrow frequency sub-bands of D2D-U spectrum, in order to maximize transmission range of D2D-U communications.
Abstract:
The present disclosure relates to 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). The present disclosure may be applied to intelligent services based on the 5G communication technology and the 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.A method for managing a system information block (SIB) in a wireless communication network.
Abstract:
A method for performing a channel state information (CSI) prediction by a user equipment (UE) is provided. The method includes receiving a plurality of reference signals from a base station, obtaining a channel quality information (CQI) estimation for an interval based on the received plurality of reference signals, wherein obtaining the CQI estimation includes obtaining at least one of mean mutual information per bit (MMIB) or effective exponential signal to noise ratio mapping (EESM), predicting the CSI based on the CQI estimation, and reporting the predicted CSI to the base station.
Abstract:
The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system that supports higher data rates beyond 4th-Generation (4G) communication systems. In particular, one or more embodiments relate to methods and systems for performing cell search in a millimeter wave (mmWave) based communication network. A method disclosed herein includes selecting a subset of receive (Rx) beams from a plurality of Rx beams and scheduling a scan order for the selected subset of Rx beams, upon receiving a plurality of signals from a Base Station. The method also includes performing a cell search using the selected subset of Rx beams individually in the determined scan order. The method further includes combining two or more of the selected Rx beams, upon failing the cell search using the selected subset of Rx beams individually. The method further includes performing the cell search using the combined Rx beams.
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:
The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by a user equipment (UE) in a communication system is provided. The method includes receiving, from a base station via higher layer signaling, a configuration for a channel state information (CSI) report, receiving, from the base station, a monitoring measurement resource, generating the CSI report based on the monitoring measurement resource; and transmitting, to the base station, the CSI report including a monitoring outcome report.
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:
The present disclosure relates to 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). The present disclosure may be applied to intelligent services based on the 5G communication technology and the 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.A method for managing a system information block (SIB) in a wireless communication network.
Abstract:
Disclosed is a method performed by a user equipment (UE) for Artificial Intelligence (AI) based Channel State Information (CSI) encoding. The method comprises receiving, a signaling message including at least one encoding parameter from a Base Station (BS), wherein the encoding parameter comprises an AI model. The method comprises segmenting a precoder data based on the signaling message into a plurality of data segments. The method comprises selecting at least one AI model from a plurality of AI models based on the at least one encoding parameter received from the BS. The method comprises encoding each data segment of the plurality of data segments of the precoder data using the at least one selected AI model. The method comprises sending at least one encoded data segment of the precoder data to the BS for decoding.
Abstract:
Methods and systems for tracking frequency offset in NR are provided. A user equipment (UE) can compute the frequency offset comprising of crystal frequency drift and Doppler shift. Drift in frequencies generated by crystal oscillators in the UE and a base station are detected and nullified. Doppler shift of a serving beam is estimated using either data collected by sensors in the UE or reference signals received from the base station. Values of Doppler shift for a plurality of beams are estimated using the Doppler shift of the serving beam and sensor data, wherein the serving beam and the plurality of beams correspond to a same transmitter beam or different transmitter beams, wherein the type of QCL of the beams is either A, B, or C.