Imperial College London


Faculty of EngineeringDepartment of Computing

Professor of Computer Systems



+44 (0)20 7594 8375j.mccann Website




258ACE ExtensionSouth Kensington Campus






BibTex format

author = {Benkhelifa, F and Elsawy, H and McCann, JA and Alouini, MS},
doi = {10.1109/GLOCOM.2018.8647615},
title = {Recycling Cellular Downlink Energy for Overlay Self-Sustainable IoT Networks},
url = {},
year = {2019}

RIS format (EndNote, RefMan)

AB - © 2018 IEEE. This paper investigates the self-sustainability of an overlay Internet of Things (IoT) network that relies on harvesting energy from a downlink cellular network. Using stochastic geometry and queueing theory, we develop a spatiotemporal model to derive the steady state distribution of the number of packets in the buffers and energy levels in the batteries of IoT devices given that the IoT and cellular communications are allocated disjoint spectrum. Particularly, each IoT device is modeled via a two- dimensional discrete-time Markov Chain (DTMC) that jointly tracks the evolution of data buffer and energy battery. In this context, stochastic geometry is used to derive the energy generation at the batteries and the packet transmission probability from buffers taking into account the mutual interference from other active IoT devices. To this end, we show the Pareto-Frontiers of the sustainability region, which defines the network parameters that ensure stable network operation and finite packet delay. The results provide several insights to design self-sustainable IoT networks.
AU - Benkhelifa,F
AU - Elsawy,H
AU - McCann,JA
AU - Alouini,MS
DO - 10.1109/GLOCOM.2018.8647615
PY - 2019///
TI - Recycling Cellular Downlink Energy for Overlay Self-Sustainable IoT Networks
UR -
UR -
ER -