A weighted cooperative spectrum sensing scheme based on dynamic double energy thresholds In cognitive radio networks

Energy detection is a promising spectrum sensing method. Setting suitable threshold is very important to the performance of the spectrum sensing. To improve the global spectrum sensing performance, this paper proposes a novel weighted cooperative spectrum sensing scheme based on dynamic double energy thresholds. Firstly, an optimal energy threshold is obtained by minimizing the sum of probabilities of false alarm and detection. Then, a control parameter is introduced to accurately fine tune the double energy thresholds. Finally, a new fusion method which applies weighted and majority rule in cooperative sensing is presented. Simulation results demonstrate that the probability of detection is improved significantly by our spectrum sensing scheme under different signal to noise ratio.