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Power Delay Profile investigation in Industrial Indoor Environments at the 24 GHz ISM band
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics.ORCID iD: 0000-0001-8387-3779
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics.ORCID iD: 0000-0001-5429-7223
KTH Royal Institute of Technology.
2022 (English)In: 2022 IEEE International Conference on Industrial Technology (ICIT), IEEE , 2022Conference paper, Published paper (Refereed)
Abstract [en]

Millimeter wave (mmWave) wireless technology is primarily considered for low latency communication in fifth-generation mobile technology (5G) and has the potential to revolutionize industrial automation and manufacturing processes. This article investigates multipath radio propagation in indoor industrial environments at the 24 GHz industrial, scientific and medical (ISM) mmWave frequency band. The wideband radio channel measurements were carried out in four different industrial environments in Sweden. The measurements were conducted using an affordable but highly competent in-house assembled mmWave testbed, reusing radio instruments available in our lab. The measurement environments were chosen based on their radio wave reflection characteristics. The multipath propagation characteristics are analyzed with respect to the power delay profile (PDP), coherence bandwidth, and root mean square (RMS) delay spread. Additionally, the Saleh-Valenzuela model parameters are estimated for these industrial environments.

Place, publisher, year, edition, pages
IEEE , 2022.
Keywords [en]
5G mobile communication, Millimeter wave propagation, 24 GHz, Industrial radio channel model, power delay profile, Saleh-Valenzuela model, RMS delay spread, coherence bandwidth
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-40735DOI: 10.1109/icit48603.2022.10002732Scopus ID: 2-s2.0-85146351123ISBN: 978-1-7281-1948-9 (electronic)OAI: oai:DiVA.org:hig-40735DiVA, id: diva2:1725872
Conference
2022 IEEE International Conference on Industrial Technology (ICIT), 22-25 August 2022, Shanghai, China
Funder
European CommissionRegion GavleborgAvailable from: 2023-01-12 Created: 2023-01-12 Last updated: 2023-02-17Bibliographically approved

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Panigrahi, Smruti RanjanBjörsell, Niclas

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CiteExportLink to record
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Citation style
  • apa
  • harvard-cite-them-right
  • ieee
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  • sv-SE
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  • de-DE
  • Other locale
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Output format
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