中国物理B ›› 2010, Vol. 19 ›› Issue (11): 119501-119501.doi: 10.1088/1674-1056/19/11/119501

• GEOPHYSICS, ASTRONOMY, AND ASTROPHYSICS • 上一篇    下一篇

Cognitive radio resource allocation based on coupled chaotic genetic algorithm

俎云霄, 周杰, 曾昶畅   

  1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:2010-05-13 修回日期:2010-07-02 出版日期:2010-11-15 发布日期:2010-11-15
  • 基金资助:
    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).

Cognitive radio resource allocation based on coupled chaotic genetic algorithm

Zu Yun-Xiao(俎云霄)†,Zhou Jie(周杰), and Zeng Chang-Chang(曾昶畅)   

  1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2010-05-13 Revised:2010-07-02 Online:2010-11-15 Published:2010-11-15
  • Supported by:
    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).

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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.

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.

Key words: cognitive radio, chaotic genetic algorithm, resource allocation, coupled Logistic map

中图分类号:  (Numerical optimization)

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