Jointly optimal sensing and resource allocation for multiuser interweave cognitive radios

Successful deployment of cognitive radios requires efficient sensing of the spectrum and dynamic adaptation of the available resources according to the sensed (imperfect) information. While most works design these two tasks separately, in this paper the sensing and resource allocation schemes are designed jointly. We investigate an interweave CR with multiple secondary users that access orthogonally a set frequency bands originally devoted to primary users. The schemes are designed to optimize the performance of the secondary users while limiting the “probability of interfering” the primary users. The joint design is addressed using dynamic programming and nonlinear optimization techniques. A two-step strategy that first finds the optimal resource allocation for any sensing scheme and then uses that solution as input to solve for the optimal sensing policy is implemented. The two-step strategy is optimal and entails a computational complexity much lower than that required to solve the original formulation.