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dc.contributor.authorGerasimenko, Mikhailcs
dc.contributor.authorŠtůsek, Martincs
dc.contributor.authorHošek, Jiřícs
dc.date.accessioned2020-11-27T11:54:39Z
dc.date.available2020-11-27T11:54:39Z
dc.date.issued2020-11-05cs
dc.identifier.citationSENSORS. 2020, vol. 20, issue 21, p. 1-22.en
dc.identifier.issn1424-8220cs
dc.identifier.other165834cs
dc.identifier.urihttp://hdl.handle.net/11012/195705
dc.description.abstractThe 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.en
dc.formattextcs
dc.format.extent1-22cs
dc.format.mimetypeapplication/pdfcs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofSENSORScs
dc.relation.urihttps://www.mdpi.com/1424-8220/20/21/6290cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectdead reckoningen
dc.subjectgeometry-based positioningen
dc.subjectindoor industrial environmentsen
dc.subjectlocation-aware handoveren
dc.subjectmmWave communicationsen
dc.subjectmulti-radio accessen
dc.subjectradio positioningen
dc.titleFeasibility of Location-Aware Handover for Autonomous Vehicles in Industrial Multi-Radio Environmentsen
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
sync.item.dbidVAV-165834en
sync.item.dbtypeVAVen
sync.item.insts2021.01.04 20:58:11en
sync.item.modts2021.01.04 20:15:35en
dc.coverage.issue21cs
dc.coverage.volume20cs
dc.identifier.doi10.3390/s20216290cs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1424-8220/cs
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Creative Commons Attribution 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International