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Optimization of multi-branch switched diversity systems
Optimization of multi-branch switched diversity systems
Type
Article
Authors
Nam, Haewoon
Alouini, Mohamed-Slim
KAUST Department
Communication Theory Lab
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Physical Science and Engineering (PSE) Division
Date
2009-10
Abstract
A performance optimization based on the optimal switching threshold(s) for a multi-branch switched diversity system is discussed in this paper. For the conventional multi-branch switched diversity system with a single switching threshold, the optimal switching threshold is a function of both the average channel SNR and the number of diversity branches, where computing the optimal switching threshold is not a simple task when the number of diversity branches is high. The newly proposed multi-branch switched diversity system is based on a sequence of switching thresholds, instead of a single switching threshold, where a different diversity branch uses a different switching threshold for signal comparison. Thanks to the fact that each switching threshold in the sequence can be optimized only based on the number of the remaining diversity branches, the proposed system makes it easy to find these switching thresholds. Furthermore, some selected numerical and simulation results show that the proposed switched diversity system with the sequence of optimal switching thresholds outperforms the conventional system with the single optimal switching threshold. © 2009 IEEE.
Citation
Haewoon Nam, & Alouini, M.-S. (2009). Optimization of multi-branch switched diversity systems. IEEE Transactions on Communications, 57(10), 2960–2970. doi:10.1109/tcomm.2009.10.080177
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Journal
IEEE Transactions on Communications
DOI
10.1109/TCOMM.2009.10.080177
Permanent link to this record
http://hdl.handle.net/10754/561428
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Articles
Communication Theory Lab
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Electrical and Computer Engineering Program
Physical Science and Engineering (PSE) Division
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