Adaptive Discrete Particle Swarm Optimization for Cognitive Radios

@article{Mahdi2012AdaptiveDP,
  title={Adaptive Discrete Particle Swarm Optimization for Cognitive Radios},
  author={Ali H. Mahdi and Jerome Mohanan and Mohamed Abd rabou Kalil and Andreas Mitschele-Thiel},
  journal={2012 IEEE International Conference on Communications (ICC)},
  year={2012},
  pages={6550-6554}
}
The adaptation of transmission parameters is a basic and essential process for efficient communication in Cognitive Radios (CR). However, the dynamic nature of wireless channels and the number of transmission parameters to be optimized in such systems adds more complexity to the adaptation process. The Genetic Algorithm (GA) is a well-known evolutionary algorithm for adaptation and optimization of CR systems. However, the convergence speed in GA is low. Recently, Particle Swarm Optimization… CONTINUE READING

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