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In Cognitive Radio Networks (CRNs), unlicensed users are allowed to access the licensed spectrum when it is not currently being used by Primary Users (PUs). To guarantee a high system throughput in CRNs, the channel state of PUs needs to be accurately detected to reduce conflict. To this end, cooperative spectrum sensing has been proposed to improve sensing accuracy by exploiting the spatial diversity of Secondary Users (SUs). However, existing works either focus on a single-channel setting, or make certain restrictive assumptions for multi-channel scenarios. In particular, most works on multichannel CRNs place no limit on the number of channels that an SU can sense, which is impractical due to hardware and sensing duration constraints.
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