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Double Codebook Beamforming Technique in Massive MIMO

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Abstract

In order to adapt double codebook beamforming technique in massive MIMO system, double codebook estimation algorithms based on the extended double codebook are proposed in this paper, such as one-dimensional (1D) estimation inherited MIMO, independent two-dimensional (2D) estimation and ESPRIT-like estimation. 1D estimation traverses the candidates based on the cross combination of two directions. Independent 2D estimation traverses the candidates based on two directions separately.  ESPRIT-like estimation is based on rotational invariance principle of antenna array, which imposes significantly lower computational complexity than the former two algorithms. Advanced, its complexity does not increase with the number of candidates. Finally, the complexity and system performance with three algorithms are compared and analyzed. The results show that 1D estimation gains the best performance, but it is too complex and difficult for practical implementation. ESPRIT-like estimation is more practical due to its reduced complexity and comparable performance with the independent 2D estimation algorithm, especially with small number of candidates.

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Acknowledgements

This research was supported by Scientific and Technological Research Program of Chongqing Municipal Education Commission (No. KJ1500628).

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Authors and Affiliations

  1. Chongqing Key Lab of Mobile Communications, Chongqing University of Posts and Telecommunications, Chongqing, 400060, China

    Dan Wang & Li Zeng

  2. Key Laboratory of Aerocraft Tracking Telemetering and Command and Communication, Chongqing University, Chongqing, 400044, China

    Yong Liao

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  1. Dan Wang
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  2. Li Zeng
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  3. Yong Liao
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Correspondence to Dan Wang.

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Wang, D., Zeng, L. & Liao, Y. Double Codebook Beamforming Technique in Massive MIMO. Wireless Pers Commun 88, 855–870 (2016). https://doi.org/10.1007/s11277-016-3211-2

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