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Power Delay Profile investigation in Industrial Indoor Environments at the 24 GHz ISM band
University of Gävle, Department of Electronics, Mathematics and Natural Sciences, Gävle, Sweden.
University of Gävle, Department of Electronics, Mathematics and Natural Sciences, Gävle, Sweden.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0002-3599-5584
Number of Authors: 32022 (English)In: 2022 IEEE International Conference on Industrial Technology, ICIT 2022, Institute of Electrical and Electronics Engineers (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
Institute of Electrical and Electronics Engineers (IEEE) , 2022.
Keywords [en]
24 GHz, 5G mobile communication, coherence bandwidth, Industrial radio channel model, Millimeter wave propagation, power delay profile, RMS delay spread, Saleh-Valenzuela model
National Category
Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-333459DOI: 10.1109/ICIT48603.2022.10002732Scopus ID: 2-s2.0-85146351123OAI: oai:DiVA.org:kth-333459DiVA, id: diva2:1785372
Conference
2022 IEEE International Conference on Industrial Technology, ICIT 2022, Shanghai, China, Aug 22 2022 - Aug 25 2022
Note

Part of ISBN 9781728119489

QC 20230802

Available from: 2023-08-02 Created: 2023-08-02 Last updated: 2023-08-02Bibliographically approved

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Bengtsson, Mats

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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  • de-DE
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Output format
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