Joint cooperative spectrum sensing and resource scheduling for cognitive radio networks with soft sensing information

In this paper, a joint cooperative spectrum sensing (CSS) and resource scheduling scheme for cognitive radio networks (CRN) is investigated. The soft sensing information instead of 1 bit hard decision information is directly used for decision-making to further exploit spectrum opportunities. To find the global optimal solution of a non-convex multi-carrier resource scheduling problem, a distributive scheduling algorithm based on duality theory is proposed. Simulation results reveal the substantial performance gain of the proposed scheme over the previous designs.