Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/12723
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dc.contributor.authorAkçalı, Hasret Taha-
dc.contributor.authorDemir, Özlem Tuǧfe-
dc.contributor.authorGirici, Tolga-
dc.date.accessioned2025-10-10T15:47:28Z-
dc.date.available2025-10-10T15:47:28Z-
dc.date.issued2025-
dc.identifier.isbn9798331511968-
dc.identifier.urihttps://doi.org/10.1109/SmartNets65254.2025.11106864-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/12723-
dc.descriptionBrowsy; CIS Arge; PTT Teknolojien_US
dc.description.abstractRadar-assisted beamforming in millimeter-wave (mmWave) massive MIMO (multiple-input multiple-output) significantly reduces beam tracking overhead, making it particularly beneficial for communication between road-side units (RSUs) and vehicles. Most existing studies assume a single RSU and line-of-sight (LoS) conditions. In this work, we consider multiple RSUs performing mmWave distributed MIMO transmission, where temporary non-line-of-sight (NLoS) conditions arise due to obstructions and blockages. Numerical results demonstrate that combining Bayesian NLoS detection with extended Kalman filtering (EKF) in a distributed MIMO framework ensures nearly uniform coverage and high data rate performance. © 2025 Elsevier B.V., All rights reserved.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof-- 7th International Conference on Smart Applications, Communications and Networking, SmartNets 2025 -- Hybrid, Istanbul -- 211441en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDistributed MIMOen_US
dc.subjectExtended Kalman Filteren_US
dc.subjectNLOS Identificationen_US
dc.subjectPredictive Beamformingen_US
dc.subjectSensing-Assisted Beamformingen_US
dc.subjectBeamformingen_US
dc.subjectCommunication Channels (Information Theory)en_US
dc.subjectIdentification (Control Systems)en_US
dc.subjectMillimeter Wavesen_US
dc.subjectMimo Radaren_US
dc.subjectMimo Systemsen_US
dc.subjectConditionen_US
dc.subjectDistributed Multiple-Input Multiple-Outputen_US
dc.subjectLine Of Sighten_US
dc.subjectMultiple Inputsen_US
dc.subjectMultiple Outputsen_US
dc.subjectNon-Line-Of-Sight Identificationen_US
dc.subjectNonline Of Sighten_US
dc.subjectPredictive Beamformingen_US
dc.subjectRoad Sidesen_US
dc.subjectSensing-Assisted Beamformingen_US
dc.subjectExtended Kalman Filtersen_US
dc.titlePredictive Beamforming With Distributed MIMO and NLOS Identificationen_US
dc.typeConference Objecten_US
dc.departmentTOBB University of Economics and Technologyen_US
dc.identifier.scopus2-s2.0-105015522494-
dc.identifier.doi10.1109/SmartNets65254.2025.11106864-
dc.authorscopusid59545396000-
dc.authorscopusid55807906700-
dc.authorscopusid24485519800-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityN/A-
dc.identifier.wosqualityN/A-
item.languageiso639-1en-
item.openairetypeConference Object-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
crisitem.author.dept02.5. Department of Electrical and Electronics Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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