Interference-aware system utility maximization for cognitive radio networks

In this paper, we aim to obtain the optimal joint power and rate control that maximizes the interference-aware secondary system utility subject to the interference temperature constraints of primary users (PUs) on the basis of the information-theoretic interference processing technique. In particular, we first draw the capacity-approaching rate region of secondary users (SUs) with given transmit power and channel information of SUs based on the near optimal interference cancellation and power splitting technique. Then, we formulate the power controlled secondary system utility maximization problem under the interference temperature constraints of PUs in the capacity-approaching rate region. To solve the optimization problem, we decompose it into one convex subproblem over the rate region with fixed power allocation and the other partitioning subproblem of the power allocations. Finally, we present an efficient algorithm, which can quickly achieve the utility-maximized power and rate control based on the idea of simulated annealing.