The University of Southampton
University of Southampton Institutional Repository

Unlock self-sustainability of reconfigurable intelligent surface in wireless powered IoT networks

Unlock self-sustainability of reconfigurable intelligent surface in wireless powered IoT networks
Unlock self-sustainability of reconfigurable intelligent surface in wireless powered IoT networks
This article discusses the self-sustainability of reconfigurable intelligent surface (RIS) in wireless powered Internet of Things (IoT) networks. Our vision is that RIS helps improve energy harvesting and data transmission capabilities simultaneously, without the extra utilization of RF spectrum and energy consumption. The inherent properties of RIS are first discussed to unveil its distinctive features, followed by a broader range of use cases motivated by RIS as their enabling technology. The focus is on the application of RIS in the wireless powered IoT networks, and its potential to interconnect and support these practical use cases. Such an application is then thoroughly evaluated in a case study of an RIS-assisted wireless powered sensor network, with system throughput, energy transmission time consumption, and energy harvesting as the key performance metrics. The comprehensive performance evaluation showcases the self-sustainable property of RIS being unlocked in the considered scenario, identifying a clear pathway toward the future wireless powered IoT networks. We further pave the way by exploring research challenges and open issues related to emerging technological development.
0163-6804
Chu, Zheng
2e26321b-20ad-4999-a0d3-7a571c92c0bc
Zhong, Jie
c586dac3-fe61-47b8-a99b-62b99094a88f
Xiao, Pei
48e5c554-b0e2-41a9-bf48-546628bc4bcc
Mi, De
991e7151-af8e-4d5e-8bf4-53d6f1ec90c1
Hao, Wanming
8ce068aa-1812-4964-81aa-7306e1b7d291
Shi, Jia
58ca721c-2a76-4e1e-ae10-430331cd2a36
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Chu, Zheng
2e26321b-20ad-4999-a0d3-7a571c92c0bc
Zhong, Jie
c586dac3-fe61-47b8-a99b-62b99094a88f
Xiao, Pei
48e5c554-b0e2-41a9-bf48-546628bc4bcc
Mi, De
991e7151-af8e-4d5e-8bf4-53d6f1ec90c1
Hao, Wanming
8ce068aa-1812-4964-81aa-7306e1b7d291
Shi, Jia
58ca721c-2a76-4e1e-ae10-430331cd2a36
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7

Chu, Zheng, Zhong, Jie, Xiao, Pei, Mi, De, Hao, Wanming, Shi, Jia and Yang, Lie-Liang (2022) Unlock self-sustainability of reconfigurable intelligent surface in wireless powered IoT networks. IEEE Communications Magazine, 60 (6). (doi:10.1109/MCOM.001.2100679).

Record type: Article

Abstract

This article discusses the self-sustainability of reconfigurable intelligent surface (RIS) in wireless powered Internet of Things (IoT) networks. Our vision is that RIS helps improve energy harvesting and data transmission capabilities simultaneously, without the extra utilization of RF spectrum and energy consumption. The inherent properties of RIS are first discussed to unveil its distinctive features, followed by a broader range of use cases motivated by RIS as their enabling technology. The focus is on the application of RIS in the wireless powered IoT networks, and its potential to interconnect and support these practical use cases. Such an application is then thoroughly evaluated in a case study of an RIS-assisted wireless powered sensor network, with system throughput, energy transmission time consumption, and energy harvesting as the key performance metrics. The comprehensive performance evaluation showcases the self-sustainable property of RIS being unlocked in the considered scenario, identifying a clear pathway toward the future wireless powered IoT networks. We further pave the way by exploring research challenges and open issues related to emerging technological development.

Text
Final_draft - Accepted Manuscript
Download (913kB)

More information

Accepted/In Press date: 25 February 2022
Published date: 17 June 2022

Identifiers

Local EPrints ID: 468597
URI: http://eprints.soton.ac.uk/id/eprint/468597
ISSN: 0163-6804
PURE UUID: ca5360e8-471e-4f6b-89f6-97290c82e72c
ORCID for Lie-Liang Yang: ORCID iD orcid.org/0000-0002-2032-9327

Catalogue record

Date deposited: 18 Aug 2022 16:42
Last modified: 20 Aug 2022 01:35

Export record

Altmetrics

Contributors

Author: Zheng Chu
Author: Jie Zhong
Author: Pei Xiao
Author: De Mi
Author: Wanming Hao
Author: Jia Shi
Author: Lie-Liang Yang ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×