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Deep RL for Channel Prediction & Beamforming by gustavoarins1612 is a document available to read on EtoBox.

This document proposes deep reinforcement learning based algorithms for end-to-end channel prediction and beamforming in multi-user downlink systems. It introduces challenges with traditional channel estimation and beamforming methods under future massive MIMO networks. Deep reinforcement learning is presented as a promising approach to address these challenges. Specifically, an actor-critic aided algorithm is proposed for channel prediction at the base station using received pilot signals and partial feedb

Author

gustavoarins1612

Language

EN