DocumentCode
2769427
Title
Hybrid Genetic Algorithm for Joint Precoding and Transmit Antenna Selection in Multiuser MIMO Systems with Limited Feedback
Author
Huang, Shen-Chia ; Fang, Wen-Hsien ; Chen, Hung-Shiou ; Chen, Yie-Tarng
Author_Institution
Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear
2010
fDate
16-19 May 2010
Firstpage
1
Lastpage
5
Abstract
To alleviate the interference while lowering the hardware cost such as the RF chains associated with antennas in the downlink of multiuser multi-input multi-output (MIMO) systems with limited feedback, this paper presents a simple, yet effective approach for joint precoding and transmit antenna selection with the assistance of the genetic algorithm (GA). To overcome the enormous amount of search called for, a novel variant of the conventional GA is addressed, where each chromosome consists of a bit string for the precoding vector selection and an integer string for the transmit antenna selection. A new crossover operation and a new mutation operation are also considered for the new chromosome. Conducted simulations show that the new approach yields close performance as the exhaustive search approach but with substantially reduced computational complexity.
Keywords
MIMO communication; genetic algorithms; precoding; transmitting antennas; GA; hybrid genetic algorithm; interference alleviation; joint precoding; multiinput multioutput systems; multiuser MIMO systems; transmit antenna selection; Antenna feeds; Biological cells; Costs; Feedback; Genetic algorithms; Hardware; MIMO; Radio frequency; Radiofrequency interference; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st
Conference_Location
Taipei
ISSN
1550-2252
Print_ISBN
978-1-4244-2518-1
Electronic_ISBN
1550-2252
Type
conf
DOI
10.1109/VETECS.2010.5493745
Filename
5493745
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