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MIMO antenna selection using biogeography‐based optimization with nonlinear migration models
Author(s) -
Fountoukidis Konstantinos C.,
Kalialakis Christos,
Psannis Kostas E.,
Siakavara Katherine,
Goudos Sotirios K.,
Sarigiannidis Panagiotis,
Obaidat Mohammad
Publication year - 2018
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.3813
Subject(s) - mimo , computer science , selection (genetic algorithm) , transmitter , ant colony optimization algorithms , antenna (radio) , mathematical optimization , 3g mimo , constraint (computer aided design) , wireless , genetic algorithm , maximization , multi user mimo , optimization problem , algorithm , channel (broadcasting) , telecommunications , artificial intelligence , mathematics , machine learning , geometry
Summary This papers 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 2 × 4,3 × 5,4 × 6,8 × 8 antennas in a 16 × 16 MIMO system. The numerical results demonstrate the efficiency and the applicability of the BBO algorithm in modern MIMO wireless systems.