Game Theoretic Framework for Future Generation Networks Modelling and Optimization

doi:10.1109/TWC.2014.012314.120977

Game Theoretic Framework for Future Generation Networks Modelling and Optimization

2014-03-01

1

OA

AI

Charalampos C. Tsimenidis

B

B.S. Sharif

DOI：10.1109/TWC.2014.012314.120977

Original

Original request for help

Save

Abstract

En 中文

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).

Keywords:

Interference management

wireless networks deployment

orthogonal frequency division multiple access (OFDMA)

resource allocation

throughput equilibrium

traffic management

Game Theoretic Framework for Future Generation Networks Modelling and Optimization

Abstract

Journal

Organization