DocumentCode :
1198358
Title :
Selecting array configurations for MIMO systems: an evolutionary computation approach
Author :
Karamalis, Panagiotis D. ; Skentos, Nikolaos D. ; Kanatas, Athanasios G.
Author_Institution :
Mobile Radiocommun.s Lab., Nat. Tech. Univ. of Athens, Greece
Volume :
3
Issue :
6
fYear :
2004
Firstpage :
1994
Lastpage :
1998
Abstract :
This paper presents an antenna selection method for multiple-input multiple-output wireless systems. By exploitation of the channel transfer matrix, the antenna selection criterion is the maximization of the instantaneous capacity achieved using a specific number of transmitting and receiving antenna array elements. For each environment, the proposed method applies a genetic algorithm which seeks the most advantageous subset of antenna elements. The results are based on measured and simulated channels and show that the proposed method selects array configurations that yield superior performance compared to the arrays usually employed. Furthermore, comparative analysis results are presented, with respect to a state-of-the-art algorithm.
Keywords :
MIMO systems; antenna accessories; antenna arrays; antenna theory; genetic algorithms; radio networks; receiving antennas; telecommunication channels; transmitting antennas; MIMO system; antenna array element; antenna selection method; channel transfer matrix; genetic algorithm; multiple-input multiple-output wireless system; receiving antenna; transmitting antenna; Antenna arrays; Antenna measurements; Antennas and propagation; Evolutionary computation; Genetic algorithms; Linear antenna arrays; MIMO; Radio frequency; Receiving antennas; Transmitting antennas;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2004.837447
Filename :
1374907
Link To Document :
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