DocumentCode :
2479394
Title :
Performance on Suboptimal Antenna Selection for Cooperative Cell System
Author :
Chen, Yonghui ; Chen, Lin
Author_Institution :
Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
fYear :
2010
fDate :
22-23 May 2010
Firstpage :
1
Lastpage :
4
Abstract :
Cell antenna cooperative strategy might have more realizable, more fairness and more potential capacity than multi-user cooperative diversity. However, different from multi-user diversity, the fading of each Cell-antenna is obviously independent and non-identically distribution for any mobile user, it is hard to get an optimal scheduling strategy directly by a gen-eral closed expression. In this paper, we investigate the performance of multi-antenna selective cooperative strategy based on the cooperative Cell, the equal power transfer and the equal gain receive combining methods that are suboptimal but practical. The theoretic and Monte Carlo simulation analysis show that for the mobile node with only one antenna, the traditional handover strategy is the best one, but for the node with multi-antenna the suboptimal multi-antenna selection could improve the outage capacity obviously than the traditional cell by cell handover strategy.
Keywords :
MIMO communication; Monte Carlo methods; antenna arrays; cellular radio; diversity reception; Monte Carlo simulation; cell-MIMO cooperative scheme; cell-antenna; cellular system; cooperative cell system; cooperative diversity; mobile node; multiuser diversity; optimal scheduling strategy; suboptimal antenna selection; Computer science; Content addressable storage; Delay; Diversity reception; Fading; MIMO; Mobile antennas; Optimal scheduling; Power system modeling; Rayleigh channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
Type :
conf
DOI :
10.1109/IWISA.2010.5473334
Filename :
5473334
Link To Document :
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