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Abstract-An overwhelming majority of the existing work on spectrum sensing assumes that secondary users (SUs) are stationary. However, mobility is an essential property of wireless networks. In this paper, we analyze the performance of spectrum sensing by mobile SUs. Four performance metrics, i.e. detection, miss detection, false alarm and error probabilities, are thoroughly investigated. A critical...
Abstract-An overwhelming majority of existing work on soft-decision cooperative spectrum sensing makes the assumption that secondary users (SUs) in cognitive radio networks (CRNs) are stationary. Considering that mobility is an essential property of wireless networks, we analyze the detection performance of soft-decision sensing by mobile SUs. Then, a data fusion rule is proposed aiming at mobile...
Cognitive radio has outstanding advantages in solving scarcity of spectrum resource and low utilization rate of spectrum in current wireless communication. Spectrum sensing method in multi-bit decision model can effectively improve the detection performance when comparing with the conventional 1- bit decision model. Aiming at the actual scenarios that there may exist malicious users in the network,...
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