Abstract-This paper presents a non-convex optimization framework for the Network Utility Maximization problem in Wireless Networks, which incorporates the interference among links and introduces a power penalty term in the objective function to assure both convergence and energy efficiency of the method. Moreover, a distributed gradient based algorithm is proposed that converges to the optimal solution for problems with zero duality gap and a fair-allocation heuristic is presented to resolve user oscillations when they occur. Finally, numerical results regarding the performance of the heuristic and the distributed approach are presented.
The study in REF proposed a non-convex optimization algorithm to maximize the utility functions in wireless networks.
Towards a fair non-convex resource allocation in Wireless Networks
2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications
2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications
Computer Science