Cognitive radio resource allocation based on coupled chaotic genetic algorithm |
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| Authors: | Zu Yun-Xiao Zhou Jie and Zeng Chang-Chang |
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| Institution: | School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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| 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. |
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| Keywords: | cognitive radio chaotic genetic algorithm resource allocation coupled Logistic map |
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