7 October 2016 Channel estimation based on quantized MMP for FDD massive MIMO downlink
Author Affiliations +
Proceedings Volume 9902, Fourth International Conference on Wireless and Optical Communications; 99020U (2016) https://doi.org/10.1117/12.2262063
Event: Fourth International Conference on Wireless and Optical Communications, 2016, Beijing, China
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yao-ting Guo, Bing-he Wang, Yi Qu, Hua-jie Cai, "Channel estimation based on quantized MMP for FDD massive MIMO downlink", Proc. SPIE 9902, Fourth International Conference on Wireless and Optical Communications, 99020U (7 October 2016); doi: 10.1117/12.2262063; https://doi.org/10.1117/12.2262063
PROCEEDINGS
6 PAGES


SHARE
Back to Top