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
Link To Document :
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