Applying Intelligent Reflector Surfaces for Detecting Violent Expiratory Aerosol Cloud Using Terahertz Signals
Authors: 
Harun Šiljak, 
Michael Taynnan Barros, Nathan D’Arcy, Daniel Perez Martins, Nicola Marchetti, Sasitharan BalasubramaniamAuthors Info & Claims
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.
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Published: 25 July 2022
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