Nanyang Technological University
The successful coexistence of Secondary Users (SUs) and Primary Users (PUs) in cognitive radio networks requires SUs to be spectrum aware and know which spectrum bands are occupied by PUs. Such awareness can be achieved in several ways, one of which is spectrum sensing. While existing spectrum sensing methods usually assume known distributions of the received primary signals, such an assumption is often too strong and unrealistic, and leads to unreliable detection performance in practical networks. In this paper, the authors design robust spectrum sensing algorithms under the distribution uncertainty of primary signals.