Imperial College London
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ProfessorJulieMcCann

Faculty of Engineering, Department of Computing

Vice-Dean (Research) for the Faculty of Engineering
 
 
 
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Contact

 

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

 
 
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Assistant

 

Miss Teresa Ng +44 (0)20 7594 8300

 
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Location

 

260ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Benkhelifa:2019:10.1109/GLOCOM.2018.8647615,
author = {Benkhelifa, F and ElSawy, H and McCann, J and Alouini, M-S},
doi = {10.1109/GLOCOM.2018.8647615},
publisher = {IEEE},
title = {Recycling cellular downlink energy for overlay self-sustainable IoT networks},
url = {http://dx.doi.org/10.1109/GLOCOM.2018.8647615},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
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
DO  - 10.1109/GLOCOM.2018.8647615
PB  - IEEE
PY  - 2019///
TI  - Recycling cellular downlink energy for overlay self-sustainable IoT networks
UR  - http://dx.doi.org/10.1109/GLOCOM.2018.8647615
UR  - https://ieeexplore.ieee.org/document/8647615
UR  - http://hdl.handle.net/10044/1/63607
ER  -
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