Characterization of mmWave Channel Properties at 28 and 60 GHz in Factory Automation Deployments

Dmitrii Solomitckii, Antonino Orsino, Sergey Andreev, Yevgeni Koucheryavy, Mikko Valkama

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    65 Citations (Scopus)
    77 Downloads (Pure)

    Abstract

    Future cellular systems are expected to revolutionize today's industrial ecosystem by satisfying the stringent requirements of ultra-high reliability and extremely low latency. Along these lines, the core technology to support the next-generation factory automation deployments is the use of millimeter-wave (mmWave) communication that operates at extremely high frequencies (i.e., from 10 to 100 GHz). However, characterizing the radio propagation behavior in realistic factory environments is challenging due to shorter mmWave wavelengths, which make channel properties be sensitive to the actual topology and size of the surrounding objects. For these reasons, this paper studies the important mmWave channel properties for two distinct types of factories, namely, light industry and heavy industry. These represent the extreme cases of factory classification based on the level of technology, the density and the size of the equipment, and the goods produced. Accordingly, we assess the candidate mmWave frequencies of 28 and 60 GHz for licensed-and unlicensed-band communication, respectively. After analyzing the signal propagation (e.g., in terms of path loss) and the line-of-sight (LoS) probability, our understanding is that in a factory automation environment the presence of metallic equipment and various objects produces many dissimilarities in the mmWave channel properties, thus making them difficult to describe with conventional empirical or stochastic models. Our findings suggest that the deployment of the practical mmWave systems in indoor industrial environments should not therefore rely on past propagation studies available in the literature blindly but might take into account more accurate and reliable evaluation of the environment that is possible with ray-based simulations.

    Original languageEnglish
    Title of host publication2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
    PublisherIEEE
    Pages1-6
    Number of pages6
    ISBN (Electronic)9781538617342
    DOIs
    Publication statusPublished - 8 Jun 2018
    Publication typeA4 Article in conference proceedings
    EventIEEE Wireless Communications and Networking Conference -
    Duration: 1 Jan 1900 → …

    Publication series

    Name
    ISSN (Electronic)1558-2612

    Conference

    ConferenceIEEE Wireless Communications and Networking Conference
    Period1/01/00 → …

    Keywords

    • 5G systems
    • Factory automation
    • Industrial IoT
    • MmWave communication
    • Radio channel properties
    • Ray-based modeling

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • General Engineering

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