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Low-Complexity Throughput-Based Antenna Selection Method

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Abstract

Antenna selection is a low-cost low-complexity attractive approach in MIMO systems that capture many advantages of these systems. In this paper, our objective is to select the best antennas that maximize throughput with truncated selective repeat automatic repeat request at data link layer in zero-forcing MIMO receivers. We propose a novel binary particle swarm optimization method with throughput as its fitness function for joint transmit and receive antenna selection. The results of simulations demonstrate that the proposed throughput based antenna selection method has better performance compared to capacity based methods, and PSO algorithm can significantly reduce computational complexity.

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Acknowledgments

The authors would like to thank ITRC (Iran Telecommunication Research Center) for the invaluable assistance and funding for this paper.

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Authors and Affiliations

  1. Communication System Lab, Tarbiat Modares University, Tehran, Iran

    Masumeh Sadat Tohidi & Paeiz Azmi

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  1. Masumeh Sadat Tohidi
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  2. Paeiz Azmi
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Correspondence to Masumeh Sadat Tohidi.

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Tohidi, M.S., Azmi, P. Low-Complexity Throughput-Based Antenna Selection Method. Wireless Pers Commun 75, 385–395 (2014). https://doi.org/10.1007/s11277-013-1368-5

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  • DOI: https://doi.org/10.1007/s11277-013-1368-5

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