Record link: 
http://hdl.handle.net/20.500.12708/191772
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Title: 
Evaluation of 3GPP Release 16 Indoor Positioning in Private Standalone 5G Networks
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Citation: 
Homayouni, S., Paier, M., Bodur, O., Pecherstorfer, M., Stangelmayer, G., Hohensulz, C., Schweeger, T., & Rehak, J. (2024). Evaluation of 3GPP Release 16 Indoor Positioning in Private Standalone 5G Networks. In 2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET) (pp. 13–17). IEEE. https://doi.org/10.1109/HONET59747.2023.10375065
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Publisher DOI: 
10.1109/HONET59747.2023.10375065
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Homayouni, Samira 
Paier, Mario 
Bodur, Osman 
Pecherstorfer, Martin 
Stangelmayer, Gregor 
Hohensulz, Clemens 
Schweeger, Thomas 
Rehak, Johannes 
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Organisational Unit: 
E311-01-4 - Forschungsgruppe Fertigungsmesstechnik und adaptronische Systeme 
E311-01-2 - Forschungsgruppe Werkzeugmaschinen 
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Published in: 
2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET) 
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ISBN: 
979-8-3503-3111-0
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DOI of the book: 
10.1109/HONET59747.2023
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Date (published): 
1-Jan-2024
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Event name: 
2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET) 
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Event date: 
4-Dec-2023 - 6-Dec-2023
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Event place: 
Boca Raton, United States of America (the)
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Number of Pages: 
5
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Publisher: 
IEEE, Piscataway
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Keywords: 
5G positioning; indoor positioning; private standalone network; radio network planning; network architecture; positioning measurement; smart factory; 3GPP Release 16; positioning accuracy; industrial use cases
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Abstract: 
This paper presents the results of a comprehensive study that evaluates the 3GPP Release 16 specifications for indoor positioning for the first time in a private standalone 5G network. Through a detailed examination of design, practical implementation and deployment strategies via operational demonstrations, it assesses how well these specifications meet regulatory, commercial, and industrial needs. Empirical evaluation is conducted in real-world measurement scenarios, with a particular focus on an industrial environment featuring a smart factory. The findings demonstrate positioning accuracy ranging from less than a meter to a few meters, depending on specific scenarios and assumptions.
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Research Areas: 
Digital Transformation in Manufacturing: 50%
Telecommunication: 50%
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Science Branch: 
2030 - Maschinenbau: 70%
5080 - Medien- und Kommunikationswissenschaften: 15%
2020 - Elektrotechnik, Elektronik, Informationstechnik: 15%
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Appears in Collections:
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