Optimization algorithm for cooperative detection in cognitive radio

In cognitive radio, cooperative detection through optimization can improve the performance of spectrum sensing. In this paper, the optimal selection of cognitive radios including threshold optimization and cognitive radio´s selection optimization is proposed, and the sensing mechanism including sensing period optimization and sensing time optimization is also analyzed. The proposed optimization algorithm can minimize the error detection probability and maximize the average throughout. Simulations show the error detection probability of the proposed algorithm is lower than that of the cooperative detection algorithm with the settled threshold, and the cognitive radios with low SNR, which bring the negative effect to detection, can be removed, and it is also showed that the optimal sensing period and sensing time exists to decrease the detection spending time and improve the average throughout.