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Comparison of Dynamic Differential Evolution and Genetic Algorithm for MIMO-WLAN Transmitter Antenna Location in Indoor Environment

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Abstract

A novel optimization procedure for the location of the transmitter in \(3\times 3\) multiple input multiple output (MIMO) wireless local area network (WLAN) wireless communication systems is presented. The optimal antenna location for maximizing the channel capacity is searched by dynamic differential evolution (DDE) and genetic algorithm (GA). There are two different receiver locations considered in the simulation. The receivers are located with uniform intervals distribution either on the tables or in the whole indoor environment. Numerical results show that the performance for increasing channel capacity by DDE algorithm is better than that by GA.

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Authors and Affiliations

  1. Department of Electrical Engineering, Tamkang University, Tamsui Dist., Taiwan, ROC

    Shu-Han Liao, Chien-Ching Chiu & Min-Hui Ho

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  1. Shu-Han Liao
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  2. Chien-Ching Chiu
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  3. Min-Hui Ho
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Correspondence to Chien-Ching Chiu.

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Liao, SH., Chiu, CC. & Ho, MH. Comparison of Dynamic Differential Evolution and Genetic Algorithm for MIMO-WLAN Transmitter Antenna Location in Indoor Environment. Wireless Pers Commun 71, 2677–2691 (2013). https://doi.org/10.1007/s11277-012-0963-1

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  • DOI: https://doi.org/10.1007/s11277-012-0963-1

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