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Chin. Phys. B, 2012, Vol. 21(1): 019501    DOI: 10.1088/1674-1056/21/1/019501
GEOPHYSICS, ASTRONOMY, AND ASTROPHYSICS Prev  

Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm

Zu Yun-Xiao(俎云霄) and Zhou Jie(周杰)
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Abstract  Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm is proposed, and a fitness function is provided. Simulations are conducted using the adaptive niche immune genetic algorithm, the simulated annealing algorithm, the quantum genetic algorithm and the simple genetic algorithm, respectively. The results show that the adaptive niche immune genetic algorithm performs better than the other three algorithms in terms of the multi-user cognitive radio network resource allocation, and has quick convergence speed and strong global searching capability, which effectively reduces the system power consumption and bit error rate.
Keywords:  cognitive radio networks      niche genetic algorithm      King map      resource allocation  
Received:  13 December 2010      Revised:  27 July 2011      Accepted manuscript online: 
PACS:  95.85.Bh (Radio, microwave (>1 mm))  
Fund: Project supported by the Research Fund for Joint China–Canada Research and Development Projects of the Ministry of Science and Technology, China (Grant No. 2010DFA11320).

Cite this article: 

Zu Yun-Xiao(俎云霄) and Zhou Jie(周杰) Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm 2012 Chin. Phys. B 21 019501

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