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Game Theoretic Framework for Future Generation Networks Modelling and Optimization

Lookup NU author(s): Professor Harris Tsimenidis, Professor Bayan Sharif



This is the authors' accepted manuscript of an article that has been published in its final definitive form by IEEE, 2014.

For re-use rights please refer to the publisher's terms and conditions.


A new cost efficient automated planning and optimization method is proposed for OFDMA future-generation cellular networks targeting throughput maximization. The mathematical formulation is a non-linear multi-objective optimization problem subject to minimum interference, cost and similar resource constraints at each cell within a defined heterogeneous traffic environment. The fundamental objective is to maximize the individual cell throughput without deteriorating it over other cells, which results in a throughput equilibrium maximization over multiple cells. This implicitly implies traffic and co-channel interference congestion avoidance across the network whilst maintaining both cost efficiency and quality of service (QoS) policies. Optimal solution existence is subject to the network size, traffic and computational complexity constraints which converges to a throughput equilibrium or alternatively to the well known Nash Equilibrium (NE).

Publication metadata

Author(s): Al Rawi AF, Aissa S, Tsimenidis CC, Sharif BS

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Wireless Communications

Year: 2014

Volume: 13

Issue: 3

Pages: 1153-1163

Print publication date: 01/03/2014

Online publication date: 27/01/2014

Acceptance date: 11/11/2013

Date deposited: 03/10/2014

ISSN (print): 1536-1276

ISSN (electronic): 1558-2248

Publisher: IEEE


DOI: 10.1109/TWC.2014.012314.120977


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