A Novel and Efficient Hybrid algorithm for 5G Opportunistic Spectrum Access

Abstract

Cognitive radio CR is proposed to solve the problem of spectral scarcity by allowing opportunistic spectrum access. The main challenge for cognitive radio is spectrum sensing so many methods exists. In this paper we propose a two-stage hybrid detector based on energy detector ED and cyclostationnary detector CSD. The decision is made by combining the two stages, in our detector the CSD is leveraged to estimate the threshold of the ED. The proposed method allows us to get rid of noise uncertainty problem of the ED and improve the time execution compared to CSD. Finally this hybrid method enhances the detection probability. The results are compared with the classical ED and CSD methods.