Cognitive radio resource allocation based on coupled chaotic genetic algorithm

doi:10.1088/1674-1056/19/11/119501

Abstract A coupled chaotic genetic algorithm for cognitive radio resource allocation which is based on genetic algorithm and coupled Logistic map is proposed. A fitness function for cognitive radio resource allocation is provided. Simulations are conducted for cognitive radio resource allocation by using the coupled chaotic genetic algorithm, simple genetic algorithm and dynamic allocation algorithm respectively. The simulation results show that, compared with simple genetic and dynamic allocation algorithm, coupled chaotic genetic algorithm reduces the total transmission power and bit error rate in cognitive radio system, and has faster convergence speed.

Keywords: cognitive radio chaotic genetic algorithm resource allocation coupled Logistic map

Received: 13 May 2010
Revised: 02 July 2010
Accepted manuscript online:

PACS:	02.60.Pn	(Numerical optimization)
	84.40.Ua	(Telecommunications: signal transmission and processing; communication satellites)

Fund: Project supported by the National High Technology Research and Development Program of China (Grant No. 2009AA01Z206), the Research Fund for Joint China–Canada Research and Development (R&D) Projects of The Ministry of Science and Technology,China (Grant No. 2010DFA11320).

Cite this article:

Zu Yun-Xiao(俎云霄),Zhou Jie(周杰), and Zeng Chang-Chang(曾昶畅) Cognitive radio resource allocation based on coupled chaotic genetic algorithm 2010 Chin. Phys. B 19 119501

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Cognitive radio resource allocation based on coupled chaotic genetic algorithm

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