Game Theoretic Framework for Future Generation Networks Modelling and Optimization

• Published in: IEEE transactions on wireless communications Vol. 13; no. 3; pp. 1153 - 1163
• Main Authors: Al Rawi, Anas F., Aissa, Sonia, Tsimenidis, Charalampos C., Sharif, Bayan S.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.03.2014; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Bandwidth; Equipments and installations; Exact sciences and technology; Information, signal and communications theory; Interference; Interference management; Mathematical models; Maximization; Mobile radiocommunication systems; Multiplexing; Networks; Optimization; Organization and planning of networks (techniques and equipments); orthogonal frequency division multiple access (OFDMA); Planning; Policies; Quality of service; Radiocommunications; resource allocation; Resource management; Signal and communications theory; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Throughput; throughput equilibrium; Traffic engineering; Traffic flow; traffic management; Transmission and modulation (techniques and equipments); wireless networks deployment; Performance evaluation; Noise reduction; Cochannel interference; Wireless telecommunication; Multiobjective programming; Frequency division multiple access; Information rate; Cell network; throughput equilibrium; traffic management; Modeling; Optimization; wireless networks deployment; resource allocation; Traffic control; Mathematical model; Mobile radiocommunication; Teletraffic; Interference management; Computational complexity; Game theory; Information transmission; Interference suppression; Optimal solution; Telecommunication network; Orthogonal frequency division multiplexing; Signal processing; orthogonal frequency division multiple access (OFDMA); Planning; Service quality; Traffic congestion
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2014.012314.120977

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).