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Due to the problem of spectrum scarcity and large energy consumption in wireless communications, designing energy-efficient Cognitive Radio Networks (CRNs) becomes important and necessary. In this paper, the authors consider the problem of optimal Cooperative Sensing Scheduling (CSS) and parameter design to achieve energy efficiency in CRNs using the framework of Partially Observable Markov Decision Process (POMDP). In particular, they consider the CSS problem for a CRN with M Secondary Users (SUs) and N primary channels to determine how many SUs should be assigned to sense each channel in order to maximize the objective function that is related to energy efficiency.
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