Towards a fair non-convex resource allocation in Wireless Networks

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. Mor...

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Bibliographic Details
Main Authors: Tychogiorgos, G., Gkelias, A., Leung, K. K.
Format: Conference Proceeding
Language:English
Subjects:
Convergence
Distributed algorithms
Optimization
Oscillators
Resource management
Vectors
Wireless communication
Online Access:Request full text
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Summary: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.
ISSN:2166-9570
DOI:10.1109/PIMRC.2011.6139985