Next Article in Journal
Modified Fixed Wall Oedometer When Considering Stress Dependence of Elastic Wave Velocities
Next Article in Special Issue
Vehicular Localization Enhancement via Consensus
Previous Article in Journal
Optical Biosensors for the Detection of Rheumatoid Arthritis (RA) Biomarkers: A Comprehensive Review
Previous Article in Special Issue
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles
Due to scheduled maintenance work on our core network, there may be short service disruptions on this website between 16:00 and 16:30 CEST on September 25th.
Article

Feasibility of Location-Aware Handover for Autonomous Vehicles in Industrial Multi-Radio Environments

1
Department of Electrial Engineering, Tampere University, 33720 Tampere, Finland
2
Department of Telecommunications, Brno University of Technology, 616 00 Brno, Czech Republic
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(21), 6290; https://doi.org/10.3390/s20216290
Received: 28 August 2020 / Revised: 29 October 2020 / Accepted: 2 November 2020 / Published: 5 November 2020
The integration of millimeter wave (mmWave) and low frequency interfaces brings an unique opportunity to unify the communications and positioning technologies in the future wireless heterogeneous networks (HetNets), which offer great potential for efficient handover using location awareness, hence a location-aware handover (LHO). Targeting a self-organized communication system with autonomous vehicles, we conduct and describe an experimental and analytical study on the LHO using a mmWave-enabled robotic platform in a multi-radio environment. Compared to the conventional received signal strength indicator (RSSI)-based handover, the studied LHO not only improves the achievable throughput, but also enhances the wireless link robustness for the industrial Internet-of-things (IIoT)-oriented applications. In terms of acquiring location awareness, a geometry-based positioning (GBP) algorithm is proposed and implemented in both simulation and experiments, where its achievable accuracy is assessed and tested. Based on the performed experiments, the location-related measurements acquired by the robot are not accurate enough for the standalone-GBP algorithm to provide an accurate location awareness to perform a reliable handover. Nevertheless, we demonstrate that by combining the GBP with the dead reckoning, more accurate location awareness becomes achievable, the LHO can therefore be performed in a more optimized manner compared to the conventional RSSI-based handover scheme, and is therefore able to achieve approximately twice as high average throughput in certain scenarios. Our study confirms that the achieved location awareness, if accurate enough, could enable an efficient handover scheme, further enhancing the autonomous features in the HetNets. View Full-Text
Keywords: dead reckoning; geometry-based positioning; indoor industrial environments; location-aware handover; mmWave communications; multi-radio access; radio positioning dead reckoning; geometry-based positioning; indoor industrial environments; location-aware handover; mmWave communications; multi-radio access; radio positioning
Show Figures

Figure 1

MDPI and ACS Style

Lu, Y.; Gerasimenko, M.; Kovalchukov, R.; Stusek, M.; Urama, J.; Hosek, J.; Valkama, M.; Lohan, E.S. Feasibility of Location-Aware Handover for Autonomous Vehicles in Industrial Multi-Radio Environments. Sensors 2020, 20, 6290. https://doi.org/10.3390/s20216290

AMA Style

Lu Y, Gerasimenko M, Kovalchukov R, Stusek M, Urama J, Hosek J, Valkama M, Lohan ES. Feasibility of Location-Aware Handover for Autonomous Vehicles in Industrial Multi-Radio Environments. Sensors. 2020; 20(21):6290. https://doi.org/10.3390/s20216290

Chicago/Turabian Style

Lu, Yi, Mikhail Gerasimenko, Roman Kovalchukov, Martin Stusek, Jani Urama, Jiri Hosek, Mikko Valkama, and Elena S. Lohan 2020. "Feasibility of Location-Aware Handover for Autonomous Vehicles in Industrial Multi-Radio Environments" Sensors 20, no. 21: 6290. https://doi.org/10.3390/s20216290

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop