K-mean clustering based cooperative spectrum sensing in generalized к-μ fading channels

Abstract

Machine learning based approaches for spectrum sensing and spectrum occupancy prediction in cognitive radio applications appear to have attracted sufficient interest in the current literature. In this paper, K-mean clustering based unsupervised learning method has been adopted for the performance enhancement of cooperative spectrum sensing in generalized κ-μ fading channels. Extensive simulation has been carried out for different system parameter trade-off in characterizing the receiver operating characteristics.