A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting

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Abstrakt

One of the beyond-5G developments that is often highlighted is the integration of wireless communication and radio sensing. This paper addresses the potential of communication-sensing integration of Large Intelligent Surfaces (LIS) in an exemplary Industry 4.0 scenario. Besides the potential for high throughput and efficient multiplexing of wireless links, an LIS can offer a high-resolution rendering of the propagation environment. This is because, in an indoor setting, it can be placed in proximity to the sensed phenomena, while the high resolution is offered by densely spaced tiny antennas deployed over a large area. By treating an LIS as a radio image of the environment, we develop sensing techniques that leverage the usage of computer vision combined with machine learning. We test these methods for a scenario where we need to detect whether an industrial robot deviates from a predefined route. The results show that the LIS-based sensing offers high precision and has a high application potential in indoor industrial environments.
OriginalsprogEngelsk
TitelEAI CROWNCOM 2020 - 15th EAI International Conference on Cognitive Radio Oriented Wireless Networks
RedaktørerGiuseppe Caso, Luca De Nardis, Liljana Gavrilovska
Antal sider13
ForlagSpringer
Publikationsdato31 mar. 2021
Sider126-138
ISBN (Trykt)978-3-030-73422-0
ISBN (Elektronisk)978-3-030-73423-7
DOI
StatusUdgivet - 31 mar. 2021
Begivenhed15th EAI International Conference on Cognitive Radio Oriented Wireless Networks - Rom, Italien
Varighed: 25 nov. 202026 nov. 2020

Konference

Konference15th EAI International Conference on Cognitive Radio Oriented Wireless Networks
Land/OmrådeItalien
ByRom
Periode25/11/202026/11/2020
NavnLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Vol/bind374
ISSN1867-8211

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