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Proceedings Paper

Channel estimation based on quantized MMP for FDD massive MIMO downlink
Author(s): Yao-ting Guo; Bing-he Wang; Yi Qu; Hua-jie Cai
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Paper Abstract

In this paper, we consider channel estimation for Massive MIMO systems operating in frequency division duplexing mode. By exploiting the sparsity of propagation paths in Massive MIMO channel, we develop a compressed sensing(CS) based channel estimator which can reduce the pilot overhead. As compared with the conventional least squares (LS) and linear minimum mean square error(LMMSE) estimation, the proposed algorithm is based on the quantized multipath matching pursuit (MMP)reduced the pilot overhead and performs better than other CS algorithms. The simulation results demonstrate the advantage of the proposed algorithm over various existing methods including the LS, LMMSE, CoSaMP and conventional MMP estimators.

Paper Details

Date Published: 7 October 2016
PDF: 6 pages
Proc. SPIE 9902, Fourth International Conference on Wireless and Optical Communications, 99020U (7 October 2016); doi: 10.1117/12.2262063
Show Author Affiliations
Yao-ting Guo, Engineering Univ. of CAPF (China)
Bing-he Wang, Engineering Univ. of CAPF (China)
Yi Qu, Engineering Univ. of CAPF (China)
Hua-jie Cai, Engineering Univ. of CAPF (China)


Published in SPIE Proceedings Vol. 9902:
Fourth International Conference on Wireless and Optical Communications
Maode Ma, Editor(s)

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