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Deep Learning for 1-Bit Massive MIMO by Ehab AL-Hialy is a document available to read on EtoBox.

1) This paper proposes a deep learning framework for channel estimation in massive MIMO systems that use 1-bit ADCs. 2) It shows that when more antennas are used at the base station, the proposed deep learning approach can achieve better channel estimation performance using the same length pilot sequences, or can use shorter pilot sequences to achieve the same performance. 3) This observation that more antennas need fewer pilots seems counterintuitive but is proved analytically for some channel models and

Author

Ehab AL-Hialy

Language

EN