DocumentCode
3424546
Title
Performance analysis of novel generalized selection combining in amplify-and-forward cooperative communications
Author
Guo, Weidong ; Liu, Ju ; Zheng, Lina ; Liu, Yuxi
Author_Institution
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
fYear
2010
fDate
24-28 Oct. 2010
Firstpage
1343
Lastpage
1346
Abstract
This paper presents an novel iterative generalized selection combining (IGSC) for amplify-and-forward (AF) cooperative communications based on error detection and rearranging the SNR of indirect link in decreasing order of magnitude. The destination node decides whether to accept incoming path or not in every time frame to reduce the excessive burden of maximal ratio combining (MRC) with all diversity paths. The incoming path is rearranged by the decreasing order of magnitude. Because of the computational complexity of the outage probability, we derive the upper and lower bound of the outage probability. The tightness of the upper bound is verified by Monte Carlo simulation. Numerical and simulation results show that the proposed method outperforms the conventional MRC in terms of outage probability.
Keywords
Monte Carlo methods; amplify and forward communication; computational complexity; cooperative communication; diversity reception; error detection; iterative methods; probability; Monte Carlo simulation; amplify-and-forward cooperative communication; computational complexity; diversity path; error detection; iterative generalized selection combining; maximal ratio combining; outage probability; Diversity reception; Fading; Protocols; Relays; Signal to noise ratio; Simulation; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5897-4
Type
conf
DOI
10.1109/ICOSP.2010.5656990
Filename
5656990
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