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
Link To Document :
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