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Joint Transmit and Receive Antenna Selection in Mimo Systems Based on Swarm Intelligence Algorithm

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Abstract

Multiple-input-multiple-output (MIMO) can provide superior performances such as system capacity, linkage, etc. But also it will bring high RF costs and system complexity, especially in large scale MIMO systems. Antenna selection (AS) is proved to be a trade-off between good performances and complexity. Specifically, from the perspective of both transmit and receive antennas, the joint transmit and receive antenna selection (JTRAS) is employed in MIMO systems. Up to now, some algorithms of JTRAS have been studied in MIMO systems. However, most of them are mainly focused on just one aspect about accuracy or complexity. Especially, compared to numerical analysis, the implementation of swarm intelligence algorithm in JTRAS needs to be studied extensively. In the paper, three intelligent algorithms, i.e. genetic algorithm, cat swarm algorithm and particle swarm algorithm are studied and compared in terms of accuracy, cost, and complexity. In addition, fractional coding is proposed in the algorithms instead of binary integer coding. The simulation results demonstrate that all three algorithms can efficiently accomplish the antenna selection. PSO has the best accuracy and stability, but the complexity of PSO is also highest. If we take overall performances in consideration, CSO is the best choice especially in practical implementation. Moreover, fractional coding will provide better performance than binary integer coding.

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Acknowledgements

The authors would like to thank the reviewers for their valuable comments for this paper. This work is supported in part by the Natural Science Foundation of Fujian Province (2020J01711), and National Science Foundation Cultivation Project of Jimei University (ZP2022015).

Funding

This work is supported in part by the Natural Science Foundation of Fujian Province (2020J01711), and National Science Foundation Cultivation Project of Jimei University (ZP2022015) both with the ownership of Lei Guowei.

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Authors and Affiliations

  1. School of Science, Jimei University, Xiamen, 361021, People’s Republic of China

    Yiwen Zhang, Sunqing Su, Wenliang Liao & Guowei Lei

  2. Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, UK

    Yiwen Zhang

  3. School of Information Engineering, Jimei University, Xiamen, 361021, People’s Republic of China

    Guangsong Yang

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  1. Yiwen Zhang
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  2. Sunqing Su
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  3. Wenliang Liao
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  4. Guowei Lei
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Contributions

SS proposed the theoretical method. LW gave the program flowcharts. ZY wrote the program codes and ran the simulations. ZY and LG wrote the main manuscript. YG reviewed the paper and gave some corrections.

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Correspondence to Guowei Lei.

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Zhang, Y., Su, S., Liao, W. et al. Joint Transmit and Receive Antenna Selection in Mimo Systems Based on Swarm Intelligence Algorithm. Wireless Pers Commun 126, 605–620 (2022). https://doi.org/10.1007/s11277-022-09760-5

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