J4 ›› 2014, Vol. 41 ›› Issue (4): 111-115+136.doi: 10.3969/j.issn.1001-2400.2014.04.020

• Original Articles • Previous Articles     Next Articles

Spectrum allocation algorithm based on parallel immune optimization

WU Huixin1;WANG Bing2;CHAI Zhengyi3,4   

  1. (1. School of Information Engineering, North China Univ. of Water Resources and Electric Power, Zhengzhou  450011,China;
    2. Dept. of Maritime, Henan Vocational and Technical College of Communications, Zhengzhou  450005,China;
    3. School of Computer Science and Software Engineering, Tianjin Polytechnic Univ.,  Tianjin  300387,China;
    4. National Mobile Communications Research Lab., Southeast Univ., Nanjing  210096,China)
  • Received:2013-04-23 Online:2014-08-20 Published:2014-09-25
  • Contact: WU Huixin E-mail:super_chai@126.com

Abstract:

The graph-theory based spectrum allocation in the cognitive wireless network is an NP-hard problem. Intelligent optimization is an effective method for solving this problem. Real-time is one of the notable features of the spectrum allocation problem in cognitive radio networks which differ from others. A spectrum allocation algorithm based on the master-slave parallel immune optimization model is proposed. The antibody affinity in the population is calculated in multiple computing nodes at the same time. The main idea of the algorithm, key technologies and implementation steps are given. Simulation results show that the algorithm can achieve higher network profits and can shorten the time of spectrum allocation. Compared with the traditional serial algorithm, the proposed algorithm can get ideal speedup and efficiency.

Key words: cognitive radio, immune system, parallel algorithms, spectrum allocation