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Iterative Receiver with Gaussian and Mean-Field Approximation in Massive MIMO Systems

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5G for Future Wireless Networks (5GWN 2017)

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Abstract

In this paper, a computationally efficient message-passing receiver that performs joint channel estimation and decoding is proposed for massive multiple-input multiple-output (MIMO) systems with OFDM modulation. We combine the loopy belief propagation (LBP) with the mean-field approximation and Gaussian approximation to decouple frequency-domain channel taps and data symbols from noisy observations. Specifically, pair-wise joint belief of frequency-domain channel tap and symbol is obtained by soft interference cancellation, after which the marginal belief of frequency-domain channel tap and symbol are estimated from the pair-wise joint belief by the mean-field approximation. To estimate time-domain channel taps between each pair of antennas, a Gaussian message passing based estimator is applied. The whole scheme of joint channel estimation and decoding is assessed by Monte Carlo simulations, and the numerical results corroborate the superior performance of the proposed scheme and its superiority to the state of art.

This work was supported by the National Nature Science Foundation of China (Grant No. 91438206 and Grant No. 91638205).

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Notes

  1. 1.

    For the sake of efficient implementation, we consider to update all the beliefs concurrently in this paper.

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Author information

Authors and Affiliations

  1. Tsinghua Space Center, Tsinghua University, Beijing, 100084, China

    Sheng Wu, Linling Kuang & Xincong Lin

  2. Beijing Space Information Relay and Transmission Technology Research Center, Beijing, 100094, China

    Baosheng Sun

Authors
  1. Sheng Wu
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  2. Linling Kuang
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  3. Xincong Lin
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  4. Baosheng Sun
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Corresponding author

Correspondence to Linling Kuang .

Editor information

Editors and Affiliations

  1. University of Science and Technology, Beijing, China

    Keping Long

  2. The University of British Columbia, Vancouver, British Columbia, Canada

    Victor C.M. Leung

  3. University of Science and Technology, Beijing, China

    Haijun Zhang

  4. Beijing University of Posts and Telecommunications, Beijing, China

    Zhiyong Feng

  5. Centre of Excellence in Telecommunications, The University of Sydney , Maze Crescent, Australia

    Yonghui Li

  6. University of Science and Technology, Beijing, China

    Zhongshan Zhang

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wu, S., Kuang, L., Lin, X., Sun, B. (2018). Iterative Receiver with Gaussian and Mean-Field Approximation in Massive MIMO Systems. In: Long, K., Leung, V., Zhang, H., Feng, Z., Li, Y., Zhang, Z. (eds) 5G for Future Wireless Networks. 5GWN 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-319-72823-0_29

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  • DOI: https://doi.org/10.1007/978-3-319-72823-0_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72822-3

  • Online ISBN: 978-3-319-72823-0

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