Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-20582
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: The fight against the COVID-19 pandemic with 5G technologies
Authors: Siriwardhana, Yushan
De Alwis, Chamitha
Gür, Gürkan
Ylianttila, Mika
Liyanage, Madhusanka
et. al: No
DOI: 10.1109/EMR.2020.3017451
10.21256/zhaw-20582
Published in: IEEE Engineering Management Review
Volume(Issue): 48
Issue: 3
Pages: 72
Pages to: 84
Issue Date: 18-Aug-2020
Publisher / Ed. Institution: IEEE
ISSN: 0360-8581
1937-4178
Language: English
Subjects: 5G networks; COVID-19; Digital healthcare; Internet of things
Subject (DDC): 004: Computer science
610: Medicine and health
Abstract: The coronavirus disease (COVID-19) pandemic has affected the world in an unexpected manner. The human race is battling against the pandemic while schools, universities, industries, hospitals, and governments are seeking new methods and technologies to seamlessly continue their usual operations. In response, this article presents how 5G and Internet of Things (IoT) related technologies can be efficiently utilized and developed to fight against the COVID-19 pandemic. Several use-cases on how 5G and IoT can be enablers to provide innovative solutions in the areas of telehealth, contact tracing, education, retail and supply chains, e-government/ remote office/ information sharing, smart manufacturing and factory automation, e-tourism, and entertainment are presented along with their technical requirements and challenges. It is envisaged that the proposed solutions will be instrumental to facilitate the usual lifestyle, work, and other day-to-day activities of humans in the postpandemic world.
Further description: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: https://doi.org/10.1109/EMR.2020.3017451
https://digitalcollection.zhaw.ch/handle/11475/20582
Fulltext version: Accepted version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Appears in collections:Publikationen School of Engineering

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