DocumentCode :
1401507
Title :
Joint Transmit/Receive Antenna Selection for MIMO Systems: A Real-Valued Genetic Approach
Author :
Lain, Jenn-Kaie
Author_Institution :
Dept. of Electron. Eng., Nat. Yunlin Univ. of Sci. & Technol., Yunlin, Taiwan
Volume :
15
Issue :
1
fYear :
2011
fDate :
1/1/2011 12:00:00 AM
Firstpage :
58
Lastpage :
60
Abstract :
This study proposes a new antenna selection (AS) method using the real-valued genetic algorithm (RVGA) to improve the channel capacity of multiple-input/multiple-output (MIMO) systems. By defining a score function based on channel capacity, AS can be formulated as an optimization problem over a multidimensional real space, and solved by implementing the RVGA method. The simulation results show that the performance of the proposed RVGA AS provides approximately the same achievable rates as the optimal exhaustive search (ES) AS, while maintaining a moderate computational load.
Keywords :
MIMO systems; channel capacity; genetic algorithms; receiving antennas; transmitting antennas; MIMO systems; RVGA method; antenna selection method; channel capacity; multidimensional real space; multiple-input/multiple-output systems; optimal exhaustive search; optimization; real-valued genetic algorithm; real-valued genetic approach; receive antenna selection; score function; transmit antenna selection; Biological cells; Electronics packaging; Joints; MIMO; Receiving antennas; Transmitting antennas; Antenna selection; channel capacity; genetic algorithm; multiple-input multiple-output (MIMO);
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2010.120610.101741
Filename :
5665741
Link To Document :
بازگشت