Industrial indoor measurements from 2—6 GHz for the 3GPP-NR and QuaDRiGa channel model |
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Author: | Jaeckel, Stephan1; Turay, Nick1; Raschkowski, Leszek1; |
Organizations: |
1Fraunhofer Heinrich Hertz Institute, Berlin, Germany 2Centre for Wireless Communications, Oulu, Finland 3Fraunhofer Institute for Integrated Circuits, Erlangen, Germany |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 1.4 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2019121648356 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2019
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Publish Date: | 2019-09-25 |
Description: |
AbstractProviding reliable low latency wireless links for advanced manufacturing and processing systems is a vision of Industry 4.0. Developing, testing and rating requires accurate models of the radio propagation channel. The current 3rd generation partnership project (3GPP) new radio (NR) model as well as the quasi deterministic radio channel generator (QuaDRiGa) lack the propagation parameters for the industrial indoor scenario. To close this gap, measurements were conducted at 2.37 GHz and 5.4 GHz at operational Siemens premises in Nuremberg, Germany. Furthermore, the campaign was planned to allow the test and parameterization of new features of the QuaDRiGa channel model such as support for device-to-device (D2D) radio links and spatial consistency. A total of 5.9 km measurement track was used to extract the statistical model parameters for line of sight (LOS) and Non-LOS propagation conditions. It was found that the metallic walls and objects in the halls create a rich scattering environment, where a large number of multipath components arrive at the receiver from all directions. This leads to a robust communication link, provided that the transceivers can handle the interference. The extracted parameters can be used in geometric-stochastic channel models such as QuaDRiGa to support simulation studies, both on link and system level. see all
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Series: |
IEEE Vehicular Technology Conference |
ISSN: | 1090-3038 |
ISSN-L: | 1090-3038 |
ISBN: | 978-1-7281-1220-6 |
ISBN Print: | 978-1-7281-1221-3 |
Pages: | 1 - 7 |
DOI: | 10.1109/VTCFall.2019.8891356 |
OADOI: | https://oadoi.org/10.1109/VTCFall.2019.8891356 |
Host publication: |
2019 IEEE 90th Vehicular Technology Conference (VTC Fall). 22-25 September 2019, Honolulu, HI, USA |
Conference: |
IEEE Vehicular Technology Conference |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
The authors thank the Celtic Office and national funding authorities BMBF in Germany, Business Finland, and MINETAD in Spain for supporting this research and development through the ReICOvAir project. The project benefited also from the valuable technical contributions from GHMT AG, CETECOM GmbH, and Qosmotec GmbH in Germany; Trimek S.A. and SQS S.A. in Spain; Verkotan Ltd., Kaltio Technologies, and Sapotech in Finland. This research was also supported in part by the Academy of Finland 6Genesis Flagship (grant no. 318927). |
Academy of Finland Grant Number: |
318927 |
Detailed Information: |
318927 (Academy of Finland Funding decision) |
Copyright information: |
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