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, J and Alouini, M-S},
publisher = {IEEE},
title = {Recycling Cellular Downlink Energy for Overlay Self-Sustainable IoT Networks},
url = {},

RIS format (EndNote, RefMan)

AB - This paper investigates the self-sustainability of anoverlay Internet of Things (IoT) network that relies on harvest-ing energy from a downlink cellular network. Using stochasticgeometry and queueing theory, we develop a spatiotemporalmodel to derive the steady state distribution of the numberof packets in the buffers and energy levels in the batteries ofIoT devices given that the IoT and cellular communicationsare allocated disjoint spectrum. Particularly, each IoT deviceis modeled via a two-dimensional discrete-time Markov Chain(DTMC) that jointly tracks the evolution of data buffer andenergy battery. In this context, stochastic geometry is used toderive the energy generation at the batteries and the packettransmission probability from buffers taking into account themutual interference from other active IoT devices. To this end,we show the Pareto-Frontiers of the sustainability region, whichdefines the network parameters that ensure stable networkoperation and finite packet delay. The results provide severalinsights to design self-sustainable IoT networks.Index Terms—Spatiotemporal models, stochastic geometry,queuing theory, energy harvesting, packet transmission successprobability, two-dimensional discrete-time Markov chain, sta-bility conditions.
AU - Benkhelifa,F
AU - ElSawy,H
AU - McCann,J
AU - Alouini,M-S
TI - Recycling Cellular Downlink Energy for Overlay Self-Sustainable IoT Networks
UR -
ER -