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

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Abstract

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.
Original languageEnglish
Title of host publicationEAI CROWNCOM 2020 - 15th EAI International Conference on Cognitive Radio Oriented Wireless Networks
EditorsGiuseppe Caso, Luca De Nardis, Liljana Gavrilovska
Number of pages13
PublisherSpringer
Publication date31 Mar 2021
Pages126-138
ISBN (Print)978-3-030-73422-0
ISBN (Electronic)978-3-030-73423-7
DOIs
Publication statusPublished - 31 Mar 2021
Event15th EAI International Conference on Cognitive Radio Oriented Wireless Networks - Rom, Italy
Duration: 25 Nov 202026 Nov 2020

Conference

Conference15th EAI International Conference on Cognitive Radio Oriented Wireless Networks
Country/TerritoryItaly
CityRom
Period25/11/202026/11/2020
SeriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Volume374
ISSN1867-8211

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