Linear decision fusion based cooperative spectrum sensing in cognitive radio networks

In this paper, we consider the problem of cooperative spectrum sensing in a centralized cognitive radio network and propose a method to linearly combine the local decisions of secondary nodes, known as cognitive users, when the sensing and reporting channels are both experience fading. To be more specific, the problem of decision fusion is considered by the assumption that the primary signal is unknown deterministic signal with known power, sensing channel is assumed to be subjected to correlated lognormal shadow-fading and reporting channel is modeled as a binary symmetric channel with known error probability. Simulation results confirmed the effectiveness of the low complexity proposed algorithm.