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RAISE: A New Fast Transmit Antenna Selection Algorithm for Massive MIMO Systems

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Abstract

In this paper, we study the problem of transmit antenna selection for massive multiple-input multiple-output systems by maximizing the determinant modulus of the selected channel matrix. Based on the maximum-volume submatrix finding method, we propose a real-time antenna-by-antenna iterative swapping enhancement (RAISE) transmit antenna selection algorithm with low memory cost and low computational complexity. The convergence of the proposed algorithm is proved and the performance of it is evaluated via numerical simulations. Our results show that, compared to the traditional antenna selection algorithms, RAISE can achieve near optimal capacity performance while the computational complexity and the memory cost are significantly reduced.

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Acknowledgments

The authors would like to thank the anonymous reviewers for their valuable comments and suggestions, which have helped us to improve the quality of this paper. This work was supported by the Natural Science Foundation of China under Grant Nos. 61201218 and 61201241, and by the Natural Science Foundation of Jiangsu Province under Grant No. BK2012056, and the Project funded by China Postdoctoral Science Foundation under Grant No. 2013M532207.

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Authors and Affiliations

  1. College of Communications Engineering, PLA University of Science and Technology, Nanjing, China

    Bing Fang, Zuping Qian, Wei Shao & Wei Zhong

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  1. Bing Fang
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  2. Zuping Qian
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  3. Wei Shao
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  4. Wei Zhong
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Correspondence to Bing Fang.

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Fang, B., Qian, Z., Shao, W. et al. RAISE: A New Fast Transmit Antenna Selection Algorithm for Massive MIMO Systems. Wireless Pers Commun 80, 1147–1157 (2015). https://doi.org/10.1007/s11277-014-2077-4

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  • DOI: https://doi.org/10.1007/s11277-014-2077-4

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