Recycling Cellular Downlink Energy for Overlay Self-Sustainable IoT Networks

Fatma Benkhelifa; Hesham ElSawy; Julie A. McCann; Mohamed-Slim Alouini

doi:10.1109/GLOCOM.2018.8647615

Recycling Cellular Downlink Energy for Overlay Self-Sustainable IoT Networks

Fatma Benkhelifa, Hesham ElSawy, Julie A. McCann, Mohamed-Slim Alouini

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	IEEE Global Communications Conference (GLOBECOM)
Publisher	IEEE
Pages	1-7
Number of pages	7
ISBN (Electronic)	978-1-5386-4727-1
ISBN (Print)	978-1-5386-4728-8
DOIs	https://doi.org/10.1109/GLOCOM.2018.8647615
Publication status	Published - 21 Feb 2019
Externally published	Yes
Event	IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM) - Abu Dhabi, United Arab Emirates Duration: 9 Dec 2018 → 13 Dec 2018 https://globecom2018.ieee-globecom.org/

Conference

Conference	IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)
Abbreviated title	GLOBECOM
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	9/12/18 → 13/12/18
Internet address	https://globecom2018.ieee-globecom.org/

Keywords

Batteries
Energy harvesting
Transmitters
Cellular networks
Receivers
Downlink
Stochastic processes

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10.1109/GLOCOM.2018.8647615

Cite this

@inproceedings{c270e00928e34e3099643f647f47e363,

title = "Recycling Cellular Downlink Energy for Overlay Self-Sustainable IoT Networks",

abstract = "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.",

keywords = "Batteries, Energy harvesting, Transmitters, Cellular networks, Receivers, Downlink, Stochastic processes",

author = "Fatma Benkhelifa and Hesham ElSawy and McCann, {Julie A.} and Mohamed-Slim Alouini",

year = "2019",

month = feb,

day = "21",

doi = "10.1109/GLOCOM.2018.8647615",

language = "English",

isbn = "978-1-5386-4728-8",

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booktitle = "IEEE Global Communications Conference (GLOBECOM)",

publisher = "IEEE",

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note = "IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM), GLOBECOM ; Conference date: 09-12-2018 Through 13-12-2018",

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T1 - Recycling Cellular Downlink Energy for Overlay Self-Sustainable IoT Networks

AU - Benkhelifa, Fatma

AU - ElSawy, Hesham

AU - McCann, Julie A.

AU - Alouini, Mohamed-Slim

PY - 2019/2/21

Y1 - 2019/2/21

N2 - 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.

AB - 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.

KW - Batteries

KW - Energy harvesting

KW - Transmitters

KW - Cellular networks

KW - Receivers

KW - Downlink

KW - Stochastic processes

U2 - 10.1109/GLOCOM.2018.8647615

DO - 10.1109/GLOCOM.2018.8647615

M3 - Conference proceeding

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EP - 7

BT - IEEE Global Communications Conference (GLOBECOM)

PB - IEEE

T2 - IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)

Y2 - 9 December 2018 through 13 December 2018

ER -

Recycling Cellular Downlink Energy for Overlay Self-Sustainable IoT Networks

Abstract

Conference

Keywords

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