Energy-efficient resource allocation in cognitive radio systems

In this paper, we investigate the energy consumption issue of Cognitive Radio (CR) systems. We aim to maximize the energy efficiency of the considered CR system with practical constraints, such as the power budget of the CR system, the interference thresholds of the primary users, the minimal throughput requirements and the proportional fairness of the CR users. Since the formulated mixed integer programming task is generally hard to tackle, we relax the original problem and convert it into a quasiconvex one. A bisection-based algorithm is employed to work out the optimal solution in an iterative manner. In each iteration, we develop a fast barrier method to reduce the computational complexity by exploiting the problem's structure. Simulation results show that our proposed method can obtain solutions close to the upper bound with reasonable complexity.