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Cognitive radio resource allocation based on coupled chaotic genetic algorithm
作者姓名:俎云霄  周杰  曾昶畅
作者单位:School of Electronic Engineering,Beijing University of Posts and Telecommunications
基金项目: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).
摘    要: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.

关 键 词:cognitive  radio  chaotic  genetic  algorithm  resource  allocation  coupled  Logistic  map
收稿时间:2010-05-13
修稿时间:7/2/2010 12:00:00 AM

Cognitive radio resource allocation based on coupled chaotic genetic algorithm
Zu Yun-Xiao,Zhou Jie and Zeng Chang-Chang.Cognitive radio resource allocation based on coupled chaotic genetic algorithm[J].Chinese Physics B,2010,19(11):119501-119501.
Authors:Zu Yun-Xiao  Zhou Jie and Zeng Chang-Chang
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
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
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