Paper Info
Title
Mimo Antenna Selection Using Biogeography-Based Optimization With Nonlinear Migration Models
Abstract
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 x 4,3 x 5,4 x 6,8 x 8 antennas in a 16 x 16 MIMO system. The numerical results demonstrate the efficiency and the applicability of the BBO algorithm in modern MIMO wireless systems.
Year
DOI
Venue
2018
10.1002/dac.3813
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
Keywords
Field
DocType
ant colony optimization, antenna selection, biogeography-based optimization, evolutionaryr algorithms, genetic algorithm, multiple-input multiple-output systems
Ant colony optimization algorithms,Mathematical optimization,Nonlinear system,Mimo antenna,Computer science,Real-time computing,Biogeography-based optimization,Genetic algorithm
Journal
Volume
Issue
ISSN
31
17
1074-5351
Citations 
PageRank 
References 
0
0.34
22
Authors
7
Name
Order
Citations
PageRank
Konstantinos C. Fountoukidis100.34
Kalialakis, C.212.03
Kostas E. Psannis344329.71
K. Siakavara463.87
S. K. Goudos562.73
Panagiotis G. Sarigiannidis620340.49
Mohammad S. Obaidat72190315.70