Green Energy and Networking. 6th EAI International Conference, GreeNets 2019, Dalian, China, May 4, 2019, Proceedings

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
Zhuyun Fan1, Chaoyue Zhao1, Jiyu Jin1,*, Guiyue Jin1, Lihui Wang1
  • 1: Dalian Polytechnic University
*Contact email: jiyu.jin@dlpu.edu.cn

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.