|Authors||E. Kure, S. Maharjan, S. Gjessing and Y. Zhang|
|Title||A Distributed Offloading Market for 5G Heterogeneous Network|
|Project(s)||TIDENET: Theoretical and Data-driven Approaches for Energy-efficient Networks|
|Publication Type||Proceedings, refereed|
|Year of Publication||2018|
|Conference Name||IEEE Global Communications Conference|
|Place Published||Abu Dhabi,UEA|
Concerns have been raised regarding the economical viability for each operator to have a full regional 5G coverage. A possible solution is to have traffic offloaded to competitors. In this work we present a new scheme for optimal offloading in a stochastic environment. This is more in line with the conditions 5G base stations will face with changing link and traffic conditions. The problem is formulated as a Stackelberg game, and the players' utility functions are derived though queuing models. Numerical results illustrate that our scheme provides a global optimal resource allocation up to a threshold. The threshold is a function of the traffic load and the number of offloading candidates. Beyond the threshold players still have incentives to participate, but the market equilibrium is not globally optimal.