DocumentCode :
144709
Title :
A low-complexity algorithm for constrained optimal relay node placement in wireless cooperative networks
Author :
Yuanyuan Gao ; Shijie Wang ; Baofeng Yang ; Guozhen Zang ; Fan Yang
Author_Institution :
Coll. of Commun. & Eng, UST, Nanjing, China
Volume :
2
fYear :
2014
fDate :
26-28 April 2014
Firstpage :
1058
Lastpage :
1061
Abstract :
Cooperative communication (CC) technology has emerged as a hot issue in wireless communication nowadays. Cooperative diversity has showed the significant effects on enhancing the system capacity, mitigating the bit error rate caused by the Rayleigh fading channel and improving the quality of the communication system. Based on the previous researches on problem of the relay node placement (RNP), this paper puts forward a CC-RNP algorithm of low complexity on the RNP problem. We also formulate the optimizing problems and utilizing the Genetic Algorithm to achieve the maximum capacity between two nodes in a constrained area. Numerical result demonstrates that the proposed low-complexity algorithm can perform as well as the scheme proposed in the previous work.
Keywords :
Rayleigh channels; channel capacity; cooperative communication; diversity reception; error statistics; genetic algorithms; radio networks; relay networks (telecommunication); Rayleigh fading channel; bit error rate; communication system quality; cooperative communication; cooperative diversity; genetic algorithm; low-complexity algorithm; relay node placement; system capacity; wireless communication; wireless cooperative networks; Algorithm design and analysis; Complexity theory; Cooperative communication; Fading; Genetic algorithms; Relays; CC-RNP; Genetic Algorithm; cooperative communication; increment-based algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4799-3196-5
Type :
conf
DOI :
10.1109/InfoSEEE.2014.6947831
Filename :
6947831
Link To Document :
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