Samsung Electronics Co., Ltd.

Vaishal Sujal Tijoriwala

Ashok Kumar Reddy Chavva

Anusha Gunturu

Anshuman Nigam

Venkata Ratnakar Rao Rayavarapu

Sripada Kadambar

Shubham Khunteta

Anirudh Reddy Godala

Naga Santha Mohan Rao Goli

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.

Method and apparatus for reporting channel state information

A method of resource selection by a user equipment (UE) is provided. The method includes detecting a need of an uplink transmission having a plurality of transmission parameters for at least one application from a plurality of applications having an associated transmission requirement. The method includes determining a set of configured grant resources available to the UE along with the associated plurality of grant resource parameters. The method includes determining transmission capability for the set of configured grant resources by analyzing the grant resource parameters. The method includes selecting at least one configured grant resource from the set of configured grant resources satisfying at least one transmission requirement of the at least one application.

Resource selection for ultra-reliable low-latency communication (URLLC) uplink

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Bengaluru, India

Vaishal Sujal Tijoriwala