AuthorsE. Kure, S. Maharjan, S. Gjessing and Y. Zhang
TitleA Distributed Offloading Market for 5G Heterogeneous Network
AfilliationCommunication Systems
Project(s)TIDENET: Theoretical and Data-driven Approaches for Energy-efficient Networks
StatusPublished
Publication TypeProceedings, refereed
Year of Publication2018
Conference NameIEEE Global Communications Conference
PublisherIEEE
Place PublishedAbu Dhabi,UEA
Abstract

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.

Citation Key26343