Riemannian Distance-Based Fast K-Medoids Clustering Algorithm for Cooperative Spectrum Sensing

Spectrum sensing is a fundamental component in a cognitive radio network to utilize the frequency bands effectively. In this article a fast Riemannian distance-based K-medoids (FRDK)-based cooperative spectrum sensing (CSS) method is developed to identify the state of primary user (PU). In particular, two CSS scenarios are considered, one is secondary users (SUs) with a single antenna and the othe...