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Genetic Algorithm Based MIMO Capacity Enhancement in Spatially Correlated Channels Including Mutual Coupling

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Abstract

Higher system capacities can be achieved if multiple antennas are used on both sides of the wireless link, thus creating a multiple-input-multiple-output (MIMO) system. In this work, the maximization of MIMO system capacity in Rayleigh fading, spatially correlated channels involving practical antenna arrays is challenged through inter-element spacing optimization. The system capacity is evaluated using a proposed formula that takes into account both antenna mutual coupling and signal correlation. Capacity values turn out to outperform the ones obtained considering the conventional antenna array geometries.

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Authors and Affiliations

  1. Laboratory Signals and Systems, Department of Electrical Engineering and Electronics, Faculty of Engineering, DGEE/FSI/University of Boumerdes, Boumerdes, 35000, Algeria

    A. Recioui & H. Bentarzi

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  1. A. Recioui
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  2. H. Bentarzi
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Correspondence to A. Recioui.

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Recioui, A., Bentarzi, H. Genetic Algorithm Based MIMO Capacity Enhancement in Spatially Correlated Channels Including Mutual Coupling. Wireless Pers Commun 63, 689–701 (2012). https://doi.org/10.1007/s11277-010-0159-5

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  • DOI: https://doi.org/10.1007/s11277-010-0159-5

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