Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems

30 May 2019Xiaofeng LiAhmed Alkhateeb

This paper proposes a novel neural network architecture, that we call an auto-precoder, and a deep-learning based approach that jointly senses the millimeter wave (mmWave) channel and designs the hybrid precoding matrices with only a few training pilots. More specifically, the proposed machine learning model leverages the prior observations of the channel to achieve two objectives... (read more)

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