Characterizing the UAV-to-Machine UWB Radio Channel in Smart Factories

  • Vasilii Semkin*
  • , Enrico Maria Vitucci
  • , Franco Fuschini
  • , Marina Barbiroli
  • , Vittorio Degli-Esposti
  • , Claude Oestges
  • *Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    119 Downloads (Pure)

    Abstract

    In this work, the results of Ultra-Wideband air-to-ground measurements carried out in a real-world factory environment are presented and discussed. With intelligent industrial deployments in mind, we envision a scenario where the Unmanned Aerial Vehicle can be used as a supplementary tool for factory operation, optimization and control. Measurements address narrow band and wide band characterization of the wireless radio channel, and can be used for link budget calculation, interference studies and time dispersion assessment in real factories, without the usual limitation for both radio terminals to be close to ground. The measurements are performed at different locations and different heights over the 3.1-5.3 GHz band. Some fundamental propagation parameters values are determined vs. distance, height and propagation conditions. The measurements are complemented with, and compared to, conventional ground-to-ground measurements with the same setup. The conducted measurement campaign gives an insight for realizing wireless applications in smart connected factories, including UAV-assisted applications.

    Original languageEnglish
    Pages (from-to)76542-76550
    JournalIEEE Access
    Volume9
    DOIs
    Publication statusPublished - 2021
    MoE publication typeA1 Journal article-refereed

    Funding

    This work was supported in part by the FRS-FNRS (Fonds de la Recherche Scientifique), Belgium, through the Research Project MACHAON, in part by EOS (Excellence of Science) project MUSEWINET (MUlti SErvice WIreless NETworks), in part by the Academy of Finland, in part by the Italian Ministry of University and Research (MUR) through the programme ‘‘Dipartimenti di Eccellenza (2018–2022)—Precision Cyberphysical Systems Project (P-CPS),’’ and in part by the Eu COST Action IRACON (Inclusive Radio Communication Networks for 5G and Beyond) under Grant CA15104. The work of Vasilii Semkin was supported in part by the Jorma Ollila grant. This work was supported in part by the FRS-FNRS (Fonds de la Recherche Scientifique), Belgium, through the Research Project MACHAON, in part by EOS (Excellence of Science) project MUSEWINET (MUlti SErvice WIreless NETworks), in part by the Academy of Finland, in part by the Italian Ministry of University and Research (MUR) through the programme 'Dipartimenti di Eccellenza (2018-2022)-Precision Cyberphysical Systems Project (P-CPS),' and in part by the Eu COST Action IRACON (Inclusive Radio Communication Networks for 5G and Beyond) under Grant CA15104. The work of Vasilii Semkin was supported in part by the Jorma Ollila grant.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure

    Keywords

    • automation
    • conscious factory
    • RF channel measurements
    • smart factory
    • UAV
    • UWB radio propagation

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