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7-GHz Measurement System for in-situ Space/Material Channel Characterisation
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics.ORCID iD: 0000-0001-5562-3182
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics.
2021 (English)In: 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), IEEE , 2021, Vol. 1, p. 37-42Conference paper, Published paper (Refereed)
Abstract [en]

The fifth generation (5G) mobile communication system will change the world through intelligent mobile devices and flexible networks to offer a new wide range of applications. mmWave radio propagation combined with a variety of new frequencies and bandwidth creates new radio measurement challenges. There are major limitations when it comes to mmWave components and measuring instruments. In this work we have designed and built a 7-GHz measuring system intended for in-situ channel characterization in environments where transmitters and receivers are located at different heights, like e.g. wireless sensor network installations. Such configurations are likely to be commonplace with the advent of e.g. Industry 4.0. The system has been tested in space experiments, where the distance and height between transmitter and receiver were changed. In addition, wave propagation behavior was studied through different materials placed between transmitter and receiver. The measurement system presented in this paper will provide an insight into the design of similar 5G test systems.

Place, publisher, year, edition, pages
IEEE , 2021. Vol. 1, p. 37-42
Series
Proceedings of the IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, ISSN 2770-4254
Keywords [en]
5G, mm Wave, electromagnetic wave propagation, signal attenuation, channel characterization
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-37610DOI: 10.1109/IDAACS53288.2021.9660981ISI: 000848377500008Scopus ID: 2-s2.0-85124806784ISBN: 978-1-6654-4209-1 (print)ISBN: 978-1-6654-2605-3 (electronic)OAI: oai:DiVA.org:hig-37610DiVA, id: diva2:1627280
Conference
2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Cracow, Poland, 22-25 September 2021
Available from: 2022-01-13 Created: 2022-01-13 Last updated: 2022-09-22Bibliographically approved

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Ängskog, PerChilo, José

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CiteExportLink to record
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Citation style
  • apa
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