A simple ANN-MLP model for estimating 60-GHz PDP inside public and private vehicles

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dc.contributor.authorShukla, Rajeevcs
dc.contributor.authorSarkar, Abhishek Narayancs
dc.contributor.authorChandra, Aniruddhacs
dc.contributor.authorKelner, Vladimírcs
dc.contributor.authorZiółkowski, Cezarycs
dc.contributor.authorMikulášek, Tomášcs
dc.contributor.authorProkeš, Alešcs
dc.coverage.issue1cs
dc.coverage.volume2023cs
dc.date.issued2023-06-10cs
dc.description.abstractRadio wave propagation in an intra-vehicular (IV) environment is markedly different from other well-studied indoor scenarios, such as an office or a factory floor. While millimetre wave (mmWave)-based intra-vehicular communications promise large bandwidth and can achieve ultra-high data rates with lower latency, exploiting the advantages of mmWave communications largely relies on adequately characterising the propagation channel. Channel characterisation is most accurately done through an extensive channel sounding, but due to hardware and environmental constraints, it is impractical to test channel conditions for all possible transmitter and receiver locations. Artificial neural network (ANN)-based channel sounding can overcome this impediment by learning and estimating the channel parameters from the channel environment. We estimate the power delay profile in intra-vehicular public and private vehicle scenarios with a high accuracy using a simple feedforward multi-layer perception-based ANN model. Such artificially generated models can help extrapolate other relevant scenarios for which measurement data are unavailable. The proposed model efficiently matches the taped delay line samples obtained from real-world data, as shown by goodness-of-fit parameters and confusion matrices.en
dc.formattextcs
dc.format.extent1-16cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationEURASIP Journal on Wireless Communications and Networking. 2023, vol. 2023, issue 1, p. 1-16.en
dc.identifier.doi10.1186/s13638-023-02257-0cs
dc.identifier.issn1687-1499cs
dc.identifier.orcid0000-0003-3727-3558cs
dc.identifier.orcid0000-0001-6026-361Xcs
dc.identifier.other184024cs
dc.identifier.researcheridH-9634-2015cs
dc.identifier.scopus53984788700cs
dc.identifier.scopus56016930200cs
dc.identifier.urihttp://hdl.handle.net/11012/213638
dc.language.isoencs
dc.publisherSpringer Naturecs
dc.relation.ispartofEURASIP Journal on Wireless Communications and Networkingcs
dc.relation.urihttps://jwcn-eurasipjournals.springeropen.com/articles/10.1186/s13638-023-02257-0cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1687-1499/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectChannel soundingen
dc.subjectIntra-vehicular communicationen
dc.subjectMillimetre waveen
dc.subjectMultilayer perceptronen
dc.subjectPower delay profileen
dc.titleA simple ANN-MLP model for estimating 60-GHz PDP inside public and private vehiclesen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.grantNumberinfo:eu-repo/grantAgreement/GA0/GF/GF23-04304Lcs
sync.item.dbidVAV-184024en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:41:47en
sync.item.modts2025.01.17 15:28:35en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav radioelektronikycs
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