Stackelberg game for heterogeneous traffics management in next‐generation cellular network

Abstract

The innovations in the internet of things and the advent of media-intensive applications have massively increased the data burden on third-and fourth-generation (wireless cellular technology) mobile networks. The existing cellular networks face an overloading issue due to the growing rate of data traffics resultantly reducing the quality of service (QoS) in terms of delay and throughput. To overcome this issue, mobile network operators are searching for well-organized ways to support such a massive data flow. Mobile data offloading schemes through small cells such as WiFi can be implemented to provide a lucrative and effective solution. A game-based quality of service model for heterogeneous traffic to achieve the quality of service parameters is proposed. This model deals with a trade-off between mobile network operators and access points, allocating economic incentives by mobile network operators to acess points for saving the spectrum. The model is simulated in MATLAB and the preliminary analyses proved the intense impact of the model on the offloading ratio and energy consumption by achieving superior results in the aforementioned parameters.