  In this paper, a resource allocation problem for an opportunistic cooperative
cognitive radio network is considered, where cognitive radio nodes send their
hard decisions to the fusion center. The fusion center plays dual role, i.e.,
takes the global decision (i.e., decision about the primary user's activity) as
well as allocates transmission time durations among cognitive radio nodes.
Revenue based utility functions are considered at the fusion center and
cognitive radio nodes. An optimization problem is formulated to maximize the
fusion center's revenue while satisfying some well defined constraints. User
selection among cognitive radio nodes is performed in order to make the
optimization problem feasible.
