Accuracy Assessment and Cross-Validation of LPWAN Propagation Models in Urban Scenarios

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dc.contributor.authorŠtůsek, Martincs
dc.contributor.authorMoltchanov, Dmitrics
dc.contributor.authorMašek, Pavelcs
dc.contributor.authorMikhaylov, Konstantincs
dc.contributor.authorZeman, Ottocs
dc.contributor.authorRoubíček, Martincs
dc.contributor.authorKoucheryavy, Yevgenics
dc.contributor.authorHošek, Jiřícs
dc.coverage.issue1cs
dc.coverage.volume8cs
dc.date.accessioned2020-10-30T11:55:21Z
dc.date.available2020-10-30T11:55:21Z
dc.date.issued2020-08-12cs
dc.description.abstractWith the proliferation of machine-to-machine (M2M) communication in the course of the last decade, the importance of low-power wide-area network (LPWAN) technologies intensifies. However, the abundance of accurate propagation models proposed for these systems by standardization bodies, vendors, and research community hampers the deployment planning. In this paper, we question the selection of accurate propagation models for Narrowband IoT (NB-IoT), LoRaWAN, and Sigfox LPWAN technologies, based on extensive measurement campaign in two mid-size European cities. Our results demonstrate that none of the state-of-the-art models can accurately describe the propagation of LPWAN radio signals in an urban environment. For this reason, we propose enhancements to the selected models based on our experimental measurements. Performing the fine-tuning of the propagation models for one of the cities, we select Ericsson Urban (NB-IoT, LoRaWAN) and 3GPP (Sigfox) models as the ones providing the closest match. Finally, we proceed to perform cross-validation of the propagation models using the data set for another city. The tuned models demonstrate an excellent match with the real data in the cross-validation phase. They outperform their competitors by at least 20 – 80% in terms of relative deviation from the measured signal levels presenting the accurate option for NB-IoT, LoRaWAN, and Sigfox deployments planning in mid-size cities.en
dc.formattextcs
dc.format.extent154625-154636cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationIEEE Access. 2020, vol. 8, issue 1, p. 154625-154636.en
dc.identifier.doi10.1109/ACCESS.2020.3016042cs
dc.identifier.issn2169-3536cs
dc.identifier.other164687cs
dc.identifier.urihttp://hdl.handle.net/11012/195581
dc.language.isoencs
dc.publisherIEEEcs
dc.relation.ispartofIEEE Accesscs
dc.relation.urihttps://ieeexplore.ieee.org/document/9165731/cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2169-3536/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectAccuracy assessmenten
dc.subjectcity coverageen
dc.subjectcross-validationen
dc.subjectdeployment planningen
dc.subjectLoRaWANen
dc.subjectlow-power wide-area networksen
dc.subjectNarrowband IoTen
dc.subjectpropagation modelsen
dc.subjectSigfoxen
dc.titleAccuracy Assessment and Cross-Validation of LPWAN Propagation Models in Urban Scenariosen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-164687en
sync.item.dbtypeVAVen
sync.item.insts2021.03.09 20:54:55en
sync.item.modts2021.03.09 20:14:28en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
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