Cognitive Radio Decision Engine Based on Binary Chaotic Particle Swarm Optimization
Yang Yu · Journal of Information and Computational Science · 2013
A novel Cognitive Radio (CR) decision engine based on Binary Chaotic Particle Swarm Optimization (BCPSO) is presented to enable robust and spectrally-efficient transmission in this paper. The BCPSO algorithm is used to adjust transmitter parameters so that the proposed CR decision engine can adjust the transmission scheme to adapt to the instantaneous channel condition. The obtained results in the Orthogonal Frequency Division Multiplexing (OFDM) system are compared with those of Genetic Algorithm (GA) and Binary Particle Swarm Optimization (BPSO) algorithm and the superiority of the proposed algorithm in convergence and accuracy over other algorithms is demonstrated. The proposed CR decision engine can select the optimal transmission scheme in real time and have the versatility for multiple applications with different Quality of Service (QoS) requirements.