中国物理B ›› 2012, Vol. 21 ›› Issue (1): 19501-019501.doi: 10.1088/1674-1056/21/1/019501

• • 上一篇    

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

俎云霄, 周杰   

  1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:2010-12-13 修回日期:2011-07-27 出版日期:2012-01-15 发布日期:2012-01-20
  • 基金资助:
    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).

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)   

  1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2010-12-13 Revised:2011-07-27 Online:2012-01-15 Published:2012-01-20
  • Supported by:
    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).

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摘要： 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.

关键词: cognitive radio networks, niche genetic algorithm, King map, resource allocation

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.

Key words: cognitive radio networks, niche genetic algorithm, King map, resource allocation

中图分类号:  (Radio, microwave (>1 mm))

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