Deep Learning based Channel Estimation for Massive MIMO with Hybrid Transceivers
Jiabao Gao,
Caijun Zhong,
Geoffrey Ye Li
et al.
Abstract:Accurate and efficient estimation of the high dimensional channels is one of the critical challenges for practical applications of massive multiple-input multiple-output (MIMO). In the context of hybrid analogdigital (HAD) transceivers, channel estimation becomes even more complicated due to information loss caused by limited radio-frequency chains. The conventional compressive sensing (CS) algorithms usually suffer from unsatisfactory performance and high computational complexity. In this paper, we propose a … Show more
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