MACHINE LEARNING FOR CHANNEL ESTIMATE

Abstract

Various aspects of the present disclosure relate to machine learning for channel estimate. An apparatus, such as a user equipment (UE) and/or network equipment, receives one or more reference signals (RS) that correspond to one or more RS resources for a channel. The apparatus generates a channel estimate for the channel via a machine learning model, wherein one or more model parameters for the machine learning model are configured based at least in part on the one or more RS.

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