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Downlink Channel Estimation in Massive Multiple-Input Multiple-Output with Correlated Sparsity by Overcomplete Dictionary and Bayesian Inference

1
Air Force Early Warning Academy, Wuhan 430019, China
2
National Engineering Research Center for E-Learning, Central China Normal University, Wuhan 430079, China
3
Department of communication system, China University of Geoscience, Wuhan 430074, China
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(5), 473; https://doi.org/10.3390/electronics8050473
Received: 24 March 2019 / Revised: 19 April 2019 / Accepted: 24 April 2019 / Published: 28 April 2019
(This article belongs to the Special Issue Massive MIMO Systems)
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Abstract

We exploited the temporal correlation of channels in the angular domain for the downlink channel estimation in a massive multiple-input multiple-output (MIMO) system. Based on the slow time-varying channel supports in the angular domain, we combined the channel support information of the downlink angular channel in the previous timeslot into the channel estimation in the current timeslot. A downlink channel estimation method based on variational Bayesian inference (VBI) and overcomplete dictionary was proposed, in which the support prior information of the previous timeslot was merged into the VBI for the channel estimation in the current timeslot. Meanwhile the VBI was discussed for a complex value in our system model, and the structural sparsity was utilized in the Bayesian inference. The Bayesian Cramér–Rao bound for the channel estimation mean square error (MSE) was also given out. Compared with other algorithms, the proposed algorithm with overcomplete dictionary achieved a better performance in terms of channel estimation MSE in simulations. View Full-Text
Keywords: massive MIMO; channel estimation; Bayesian inference; overcomplete dictionary massive MIMO; channel estimation; Bayesian inference; overcomplete dictionary
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Lu, W.; Wang, Y.; Wen, X.; Peng, S.; Zhong, L. Downlink Channel Estimation in Massive Multiple-Input Multiple-Output with Correlated Sparsity by Overcomplete Dictionary and Bayesian Inference. Electronics 2019, 8, 473.

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