Efficient Cooperative Spectrum Sensing with Minimum Sensing Error in Cognitive Radio Networks

Spectrum sensing is one of the most important components of cognitive radio technology. Due to fading or shadowing effects of the channel, a cognitive radio (CR) may fail to sense the presence of the primary user (PU). Cooperative spectrum sensing is a good solution to this problem. In this paper, we focus on the optimization of cooperative spectrum sensing in which multiple CRs efficiently cooperate to achieve superior detection accuracy with minimum sensing error. We derive the optimal randomized rule for different decision threshold. Then, the optimal final decision threshold is derived according to minimum sensing error (MSE) rule. By simulations, our proposed strategy shows better performance on ameliorating the final probability of false alarm and the probability of detection simultaneously.