Increasing sum rate in multiband cognitive radio networks by centralized power allocation schemes

In this paper, we develop two different approaches for the centralized joint power and bandwidth allocation problem. We aim to maximize the uplink sum rate with multiple base stations. First, we exploit the convex approximation with series of Geometric Programming (GP) formulations. Then, we propose a novel, iterative method that is enhanced with scheduling to improve both convergence speed and sum rate. The problem is handled in an interference-limited multiband system using power and interference constraints. Our numerical experiments illustrate that the new iterative method´s sum rate performance is comparable to the GP, within small number of iterations and lower complexity.