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|Title:||MIMO antenna selection using biogeography-based optimization with nonlinear migration models|
|Authors:||Fountoukidis, Konstantinos C.|
Psannis, Kostas E.
Goudos, Sotirios K.
|Subjects:||FRASCATI::Engineering and technology|
|Keywords:||ant colony optimization|
multiple-input multiple-output systems
|Source:||International Journal of Communication Systems|
|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.|
|Appears in Collections:||Department of Applied Informatics |
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|Psannis Revised paper.pdf||Psannis Revised paper 2019||1,47 MB||Adobe PDF||View/Open|
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