Y. Siriwardhana, C. De Alwis, G. Gür, M. Ylianttila and M. Liyanage, "The Fight Against the COVID-19 Pandemic With 5G Technologies," in IEEE Engineering Management Review, vol. 48, no. 3, pp. 72-84, 1 thirdquarter,Sept. 2020, doi: 10.1109/EMR.2020.3017451
The fight against the COVID-19 pandemic with 5G technologies
|Author:||Siriwardhana, Yushan1; de Alwis, Chamitha2; Gür, Gürkan3;|
1Center for Wireless Communications, University of Oulu, Finland
2University of Sri Jayewardenepura, Sri Lanka
3Zurich University of Applied Sciences, Winterthur, Switzerland
4School of Computer Science, University College Dublin, Ireland
|Online Access:||PDF Full Text (PDF, 1.1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020111790878
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2020-11-17
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.
IEEE engineering management review
|Pages:||72 - 84|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
The research leading to these results partly received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 871808 (5G PPP project INSPIRE-5Gplus), . The paper reflects only the authors’ views. The Commission is not responsible for any
use that may be made of the information it contains.
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