Research Article
Channel Estimation in Massive MIMO TDD Systems
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@INPROCEEDINGS{10.1007/978-3-030-21730-3_12, author={Zhuyun Fan and Chaoyue Zhao and Jiyu Jin and Guiyue Jin and Lihui Wang}, title={Channel Estimation in Massive MIMO TDD Systems}, proceedings={Green Energy and Networking. 6th EAI International Conference, GreeNets 2019, Dalian, China, May 4, 2019, Proceedings}, proceedings_a={GREENETS}, year={2019}, month={6}, keywords={Massive MIMO system Channel estimation Pilot contamination}, doi={10.1007/978-3-030-21730-3_12} }- Zhuyun Fan
Chaoyue Zhao
Jiyu Jin
Guiyue Jin
Lihui Wang
Year: 2019
Channel Estimation in Massive MIMO TDD Systems
GREENETS
Springer
DOI: 10.1007/978-3-030-21730-3_12
Abstract
Massive multiple-input multiple-output (MIMO) significantly improves the spectral efficiency and energy efficiency of the systems. In this paper, a channel estimation based on pilot method is proposed for multi-cell massive MIMO time division duplex (TDD) systems. The proposed estimator designs an orthogonal pilot structure to mitigate pilot contamination. Additionally, the receiver estimates the channel state information (CSI) at the pilot tone, and combines the interpolation algorithm to obtain the desired signal. The proposed method increases the accuracy of channel estimation with the lower computational complexity. Simulations results verify the effectiveness of the proposed method.
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