3GPP Release 16 Indoor Positioning Solution in Private Standalone 5G Networks

Bodur, Osman; Hohensulz, Clemens; Pecherstorfer, Martin; Poszvek, Günther; Bleicher, Friedrich

doi:10.34726/5759

Record link:

http://hdl.handle.net/20.500.12708/194970
https://doi.org/10.34726/5759

Title:

3GPP Release 16 Indoor Positioning Solution in Private Standalone 5G Networks

Citation:

Bodur, O., Hohensulz, C., Pecherstorfer, M., Poszvek, G., & Bleicher, F. (2024, February 21). 3GPP Release 16 Indoor Positioning Solution in Private Standalone 5G Networks [Poster Presentation]. 1st Faculty Science Day of the Faculty of Mechanical and Industrial Engineering, Wien, Austria. https://doi.org/10.34726/5759

reposiTUm DOI:

10.34726/5759

Publication Type:

Presentation - Poster Presentation

Language:

English

Authors:

Bodur, Osman
Hohensulz, Clemens
Pecherstorfer, Martin
Poszvek, Günther
Bleicher, Friedrich

Organisational Unit:

E311-01-4 - Forschungsgruppe Fertigungsmesstechnik und adaptronische Systeme

Date (published):

21-Feb-2024

Event name:

1st Faculty Science Day of the Faculty of Mechanical and Industrial Engineering

Event date:

21-Feb-2024

Event place:

Wien, Austria

Keywords:

5G Standalone Private Campus Network; indoor positioning; smart manufacturing; positioning accuracy; line of sight; real time tracking

Abstract:

The study presents the results of evaluating 3GPP Release 16 indoor positioning specifications within a private 5G standalone network deployed at an industrial research laboratory in Vienna, Austria. Positioning accuracy was assessed in line-of-sight (LOS) and non-line-of-sight (NLOS) scenarios at over 80 locations. The observed positioning accuracy ranged from less than a meter to a few meters based on the scenario. The objective was to assess if these specifications can meet smart factory use case requirements.

Project title:

Industrial Use-Case für die vernetzte Produktion mit 5G: 20046 (Hutchison Drei Austria GmbH)

Research Areas:

Digital Transformation in Manufacturing: 50%
Telecommunication: 50%

Science Branch:

2030 - Maschinenbau: 30%
1020 - Informatik: 20%
2020 - Elektrotechnik, Elektronik, Informationstechnik: 50%

License:

CC BY-NC 4.0