Machine learning based control channel resource selection

Abstract

Certain aspects of the present disclosure provide techniques for machine learning (ML) based control channel (CCH) resource selection. An example method, performed at a user equipment (UE), generally includes receiving, from a network entity, signaling indicating parameters for configuring a machine learning (ML) model, applying the parameters to configure the ML model, performing channel estimation based on at least one reference signal (RS) measurement, using the ML model to select control channel (CCH) resources to monitor, based on the channel estimation, and monitoring the selected CCH resources for a CCH transmission from the network entity.

CPC Classifications