Traffic load-based spectrum sharing for multi-tenant cellular networks for IoT services

Authors

Obada Al-Khatib, University of Wollongong
Wibowo Hardjawana, University of Sydney
Branka Vucetic, University of Sydney

RIS ID

129757

Publication Details

Al-Khatib, O., Hardjawana, W. & Vucetic, B. 2018, 'Traffic load-based spectrum sharing for multi-tenant cellular networks for IoT services', 2018 IEEE International Conference on Communications (ICC), IEEE, United States, pp. 1-6.

Abstract

Multi-tenant cellular networks for Internet-of-Things (IoT) services is an architecture in which a single wireless cellular network is tenanted by multiple large-scale IoT sectors such as energy and transportation. Thus, a challenging issue is how to efficiently allocate the spectrum resources to serve numerous IoT tenants with vastly different traffic load distributions. In this paper, we address this problem by proposing a spectrum sharing model, based on a queuing system, that can be used to model any spectrum sharing policy between various tenants and derive analytical expressions for the blocking probability and spectrum utilisation. The simulation and analytical results, generated by using a real-time traffic, match very well.