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Performance Analysis of a Novel Optimal Antenna Selection Algorithm for Large MIMO

Author

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  • Rajashree Suryawanshi

    (Army Institute of Technology, Pune, India)

  • P. Kavipriya

    (Sathyabama Institute of Science and Technology, Chennai, India)

  • B. P. Patil

    (Army Institute of Technology, Pune, India)

Abstract

LTE MIMO is capable of providing some major enhancements in spectral efficiency and performance along with adding complexity to the system. One way to make sure that the sent data has reached the receiver end is to increase the number of antennas between them. But when the quantities of antennas are increased, there is increase in the probability that deep fading is experienced by at least some antennas. This results in giving out some undesirable outcomes which affects the overall efficiency of the MIMO system. To handle these issues, a reliable technique has been presented that involves selection of antenna subset. The proposed technique incorporates combination of SBO and PSO for antenna selection. The maximum channel capacity of the channel has been considered as the objective function for selecting optimal antennas. The comparison of the proposed approach’s performance and the existing approaches’ performance is done in terms of BER, energy efficiency, spectral efficiency and optimal transmit power.

Suggested Citation

  • Rajashree Suryawanshi & P. Kavipriya & B. P. Patil, 2022. "Performance Analysis of a Novel Optimal Antenna Selection Algorithm for Large MIMO," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 13(1), pages 1-19, January.
    • Handle: RePEc:igg:jsir00:v:13:y:2022:i:1:p:1-19
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