Hamed Sadeghi - Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran
Paeiz Azmi

In this paper, a new spectrum sensing method based on cyclic feature detection is proposed for detection of OFDMbasedprimary users. Based on the proposed asymptoticallyconstant false alarm rate (CFAR) detector, a soft decision-based fusion rule for cooperative spectrum sensing (CSS) is established.The proposed scheme aims to maximize the deflection criterion at the fusion center (FC), while the reporting channels are characterizedby Rayleigh fading. In order to be able to evaluate the performance of the cooperative detector, some analytic threshold Approximation methods are proposed for the cases where the fusion center has direct sensing capability or not. Extensive simulation results are provided to justify the advantages of our proposed cooperative spectrum sensing method

Cooperative spectrum sensing, Cyclostationary, Cognitive radio, Primary user detection