Channel measurement campaigns for wireless industrial automation

Author:

Düngen Monique1,Hansen Thomas1,Croonenbroeck Ramona2,Kays Rüdiger2,Holfeld Bernd3,Wieruch Dennis3,Wilke Berenguer Pablo3,Jungnickel Volker3,Block Dimitri4,Meier Uwe4,Schulze Henrik5

Affiliation:

1. Robert Bosch GmbH , Stuttgart , Germany

2. 14311 TU Dortmund University , Dortmund , Germany

3. Fraunhofer HHI , Berlin , Germany

4. HS OWL-inIT , Lemgo , Germany

5. FH Südwestfalen , Meschede , Germany

Abstract

Abstract The factories of the future will be highly digitalized in order to enable flexible and interconnected manufacturing processes. Especially wireless technologies will be beneficial for industrial automation. However, the high density of metallic objects is challenging for wireless systems due to multipath fading. In order to understand the signal propagation in industrial environments, this paper provides results from a number of channel measurement campaigns funded by the German research initiative “Reliable wireless communication in the industry”. We give an overview of different measurement scenarios covering visible light communication and radio communication below 6 GHz. We analyze large and small scale parameters as well as delay statistics of the wireless channels. Finally, we discuss the importance of the results for the definition of industrial channel models.

Funder

Bundesministerium für Bildung und Forschung

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference29 articles.

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2. “Funktechnologien für Industrie 4.0”, VDE Positionspapier, VDE|ITG, June 2017.

3. J. Karedal et al., “A Measurement-Based Statistical Model for Industrial Ultra-Wideband Channels”, IEEE Trans. Wireless Communications, vol. 6, no. 8, pp. 3028–3037, August 2007.10.1109/TWC.2007.051050

4. J. Karedal et al., “UWB Channel-Measurements in an Industrial Environment”, Proceedings of IEEE Global Telecommunications Conference, vol. 1, pp. 81–85, 2004.

5. J. Karedal et al., “Statistical Analysis of the UWB Channel in an Industrial Environment”, Proceedings of IEEE 60thVehicular Technology Conference, vol. 1, pp. 81–85, 2004.

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