Cooperative spectrum sensing based on the improved particle swarm optimization in cognitive radio

A new cooperative spectrum sensing scheme based on the improved particle swarm optimization (PSO) algorithm is proposed for cognitive radio (CR) in this paper. In the proposed method, the improved PSO is utilized to obtain the optimal weight vector to maximize the probability of detection by changing the inertia weight dynamically in each iteration. The proposed method performs better in convergence than the method based on the traditional PSO. Furthermore, it can get better detection probability than the modified deflection coefficient (MDC) method. The simulation results verify the efficiency of the proposed method.