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Cognitive radio decision engine based on binary particle swarm optimization

Zhao Zhi-Jin Xu Shi-Yu Zheng Shi-Lian Yang Xiao-Niu

Cognitive radio decision engine based on binary particle swarm optimization

Zhao Zhi-Jin, Xu Shi-Yu, Zheng Shi-Lian, Yang Xiao-Niu
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  • Abstract views:  3666
  • PDF Downloads:  1288
  • Cited By: 0
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  • Received Date:  08 March 2008
  • Accepted Date:  12 November 2008
  • Published Online:  20 July 2009

Cognitive radio decision engine based on binary particle swarm optimization

  • 1. (1)杭州电子科技大学通信工程学院,杭州 310018; (2)中国电子科技集团公司第36研究所,嘉兴 314033

Abstract: Cognitive radio decision engine based on particle swarm optimization is proposed. A population adaptive particle swarm optimization is also proposed to improve the convergence rate. Particle swarm optimization and population adaptive particle swarm optimization are used to adapt radio parameters respectively, and multi-carrier system is used for the performance analysis. Results show that cognitive decision engine based on binary particle swarm optimization has better convergence, precision and stability than the classic genetic algorithm, and population adaptive particle swarm optimization can further improve the performance at the initial stage of the search to meet real time requirement of cognitive radio.

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