Title
Opportunities and Challenges in the Industrial Internet of Things based on 5G Positioning
Abstract
This paper discusses several features of 5G positioning in the context of applications for the Industrial Internet of Things (IIoT) which demand high accuracy of position information. The main opportunities to come with 5G networks, such as huge available spectrum, small cell networks, Multiple Input Multiple Output antennas and beamforming are summarized, and the challenges in the context of robot 5G positioning are pointed out. A case study for the localization of an indoor robot in a multi-wall multi-floor scenario is presented, based on various carrier frequencies and access node densities. We find out that sub-meter positioning accuracy required for most of the future industrial applications is theoretically achievable via a combination of small cell networks, mm Wave carriers and antenna arrays, but practical issues such as node synchronization, connectivity and ultra dense network deployment costs have to be tackled.
Year
DOI
Venue
2018
10.1109/ICL-GNSS.2018.8440903
2018 8th International Conference on Localization and GNSS (ICL-GNSS)
Keywords
Field
DocType
IIoT,position information,huge available spectrum,Multiple Input Multiple Output antennas,robot 5G positioning,indoor robot,multiwall multifloor scenario,carrier frequencies,access node densities,sub-meter positioning accuracy,future industrial applications,mm Wave carriers,antenna arrays,ultra dense network deployment costs,Industrial Internet of Things,small cell networks,beamforming,node syncrhonization
Beamforming,Synchronization,Software deployment,Computer science,Computer network,Industrial Internet,Small cell,Ultra dense network,Robot
Conference
ISBN
Citations 
PageRank 
978-1-5386-6985-3
1
0.37
References 
Authors
6
3
Name
Order
Citations
PageRank
Yi Lu1812.85
philipp richter2454.62
ELENA SIMONA LOHAN332757.58