Cooperative Sensing With Joint Energy and Correlation Detection in Cognitive Radio Networks

Abstract

Cognitive radio networks (CRNs) are a promising solution to address the spectrum shortage issue. Spectrum sensing plays a key role to make such a scenario practical. In this letter, we propose a solution for the problem of spectrum sensing in CRNs aiming to increase the performance of the cooperative spectrum sensing. We design a cooperative spectrum sensing with detection based on two summary statistics, including energy and first-order correlation of the received samples of the signal. The probabilities of detection and false alarm are obtained as criteria for evaluating the performance of the CRNs. The performance evaluation is presented through simulations. The results show that the proposed method significantly improves the detection performance in cooperative spectrum sensing. It also highly decreases the probability of miss-detection in comparison with the traditional energy detection method.