Applying Intelligent Reflector Surfaces for Detecting Violent Expiratory Aerosol Cloud using Terahertz Signals

Siljak, Harun and Barros, Michael Taynnan and D'Arcy, Nathan and Martins, Daniel Perez and Marchetti, Nicola and Balasubramaniam, Sasitharan (2022) Applying Intelligent Reflector Surfaces for Detecting Violent Expiratory Aerosol Cloud using Terahertz Signals. IEEE Network. pp. 1-8. ISSN 0890-8044 (In Press)

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Abstract

The recent COVID-19 pandemic has driven researchers from different spectrum to develop novel solutions that can improve detection and understanding of SARS-CoV- 2 virus. In this article we propose the use of Intelligent Reflector Surface (IRS) and terahertz communication systems to detect violent expiratory aerosol cloud that are secreted from people. Our proposed approach makes use of future IRS infrastructure to extend beyond communication functionality by adding environmental scanning for aerosol clouds. Simulations have also been conducted to analyze the accuracy of aerosol cloud detection based on a signal scanning and path optimization algorithm. Utilizing IRS for detecting violent expiratory aerosol cloud can lead to new added value of telecommunication infrastructures for sensor monitoring data that can be used for public health.

Item Type:	Article
Additional Information:	Publisher Copyright: IEEE
Uncontrolled Keywords:	/dk/atira/pure/subjectarea/asjc/1700/1712
Departments or Groups:
Depositing User:	Admin SSL
Date Deposited:	19 Oct 2022 23:13
Last Modified:	07 Jun 2023 18:47
URI:	http://repository-testing.wit.ie/id/eprint/4731

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