Efficient Discovery of Spectrum Opportunities Via Adaptive Collaborative Spectrum Sensing in Cognitive Radio Networks
In this paper, the authors construct a novel MAC-layer sensing framework for fast discovery of spectrum opportunities. They employ the sequential probability ratio test and a novel collaborative sensing scheme, in which the collaboration exists among multiuser and multi-slot. Then, they propose a novel scheme of adaptive collaboration sensing schedule for fast spectrum opportunities discovery and prove that the sensing order based on sorting is optimal with respect to fast discovery. Moreover, they formulate the adaptive collaboration as an optimization problem, which, however, is an NP-hard problem. Then, they give a suboptimal solution to the problem with low complexity.