Robust Threshold Design for Cooperative Sensing in Cognitive Radio Networks
The successful coexistence of cognitive radio systems and licensed systems requires the secondary users to have the capability of sensing and keeping track of primary transmissions. While existing spectrum sensing methods usually assume known distributions of the primary signals, such an assumption is often not true in practice. As a result, applying existing sensing methods directly will often lead to unreliable detection performance in practical networks. In this paper, the authors try to improve the sensing performance under the distribution uncertainty of primary signals.