Cognitive radio decision engine based on binary particle swarm optimization
Zhao Zhi-Jin, Shiyu Xu, Zheng Shi-Lian, Yang Xiao-Niu, (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 · Acta Physica Sinica · 2009
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.