An Improved Resource Allocation Method Based on Convex Optimization in Centralized Wireless Network

A utility function that reflects the total channel utility rate is formulated based on the interference complementary under the centralized singular channel wireless networks. Furthermore the target is transformed into a constrained convex optimization, and the optimization problem achieves the efficient resource allocation under interior-point method. Simulation results show that the proposed method achieves better accuracy and less iteration time than genetic algorithm.