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Channel Estimation in Massive MIMO TDD Systems

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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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Acknowledgment

This research is supported by the Natural Science Foundation of Liaoning Province of China (Grant No. 20180550239).

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Correspondence to Jiyu Jin .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Fan, Z., Zhao, C., Jin, J., Jin, G., Wang, L. (2019). Channel Estimation in Massive MIMO TDD Systems. In: Jin, J., Li, P., Fan, L. (eds) Green Energy and Networking. GreeNets 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-030-21730-3_12

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  • DOI: https://doi.org/10.1007/978-3-030-21730-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21729-7

  • Online ISBN: 978-3-030-21730-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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