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, Christos
Psannis, Kostas E.
Siakavara, Katherine
Goudos, Sotirios K.
Sarigiannidis, Panagiotis
Obaidat, Mohammad
Type: Article
Subjects: FRASCATI::Engineering and technology
Keywords: ant colony optimization
genetic algorithm
antenna selection
biogeography-based optimization
evolutionary algorithms
multiple-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.3813
https://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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