Two-Stage Spectrum Sensing Using Fuzzy Logic for Cognitive Radio Networks

Abstract

In this paper, we present a two-stage detection scheme using fuzzy logic for spectrum sensing. The first stage consists of the dynamic double-threshold energy detector, whereas the second stage uses of a fuzzy logic system. Fuzzy logic detector utilizes estimated energy and estimated eigenvalue of the signal and gives a decision in confused state. The novelty of the proposed spectrum sensing technique lies in its decision-making capability at individual nodes without adding any overhead to the system in terms of control channel which ultimately reduces the bandwidth consumption. It has been observed from the results that the proposed system yields improved performance in comparison with the conventional two-stage detection schemes. The proposed scheme was also analyzed in cooperative sensing scenario where it outperforms the conventional cooperative spectrum sensing schemes to a considerable extent.