Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/526
 Title: MIMO antenna selection using biogeography-based optimization with nonlinear migration models Authors: Fountoukidis, Konstantinos C.Kalialakis, ChristosPsannis, Kostas E.Siakavara, KatherineGoudos, Sotirios K.Sarigiannidis, PanagiotisObaidat, Mohammad Type: Article Subjects: FRASCATI::Engineering and technology Keywords: ant colony optimizationgenetic algorithmantenna selectionbiogeography-based optimizationevolutionary algorithmsmultiple-input multiple-output systems Issue Date: 2018 Source: International Journal of Communication Systems Volume: 31 Issue: 17 First Page: e3813 Abstract: This paper deals with the problem of antenna selection (AS) for a multiple-input multiple-output (MIMO) wireless system under the constraint of the channel capacity maximization. The biogeography-based optimization (BBO) algorithm is applied on the joint transmitter and receiver AS problem. Moreover, the performance of different BBO migration models is compared with a real valued genetic algorithm (RVGA) as well as with the ant colony optimization (ACO). Representative simulation scenarios are provided in detail, involving selection of 2X4, 3X5, 4X6, 8X8 antennas in a $16\times16$ MIMO system. The numerical results demonstrate the efficiency and the applicability of the BBO algorithm in modern MIMO wireless systems. URI: https://doi.org/10.1002/dac.3813https://ruomo.lib.uom.gr/handle/7000/526 ISSN: 1074-5351 Other Identifiers: 10.1002/dac.3813 Appears in Collections: Department of Applied Informatics

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