Cooperative spectrum sensing in cognitive radio networks under Gaussian fusion channels

Abstract

This paper presents cooperative spectrum sensing in cognitive radio networks under Gaussian fusion channels. The global detection performance is evaluated based on Neyman-Pearson (NP) detection and using equal gain combining (EGC) fusion rule. It is shown that, under a global signal to noise ratio (SNR) constraint, the global detection performance can be maximized by choosing an appropriate local energy threshold. Furthermore, asymptotic performance is investigated assuming large numbers of secondary users and samples used for local energy calculation.