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End-to-end learning with em-aware differentiable-ready discrete-phase ris for mimo-ofdm via ray tracing

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dc.contributor.coauthorMirza, A. F.
dc.contributor.coauthorAhmed Ouameur, M.
dc.contributor.coauthorDou, M. A.
dc.contributor.coauthorBagaa, M.
dc.contributor.coauthorMohsin, M. A.
dc.contributor.coauthorMazouzi, A.
dc.contributor.coauthorMassicotte, D.
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorErgen, Sinem Çöleri
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2026-09-09T13:52:30Z
dc.date.issued2026
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuEU
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (NSERC) Discovery on Explainable Machine Learning for Radio Access Network (Grant: RGPIN-2022-04645); MITACS Acceleration on the Design and Prototyping of Reconfigurable Intelligent Surfaces (RIS) Aided Communication Systems (Grant: IT29537); MITACS Acceleration on Efficient Distributed Learning for Autonomous Multi-Reconfigurable Intelligent Surfaces Operation (Grant: IT44273)
dc.description.versionPublished Version
dc.identifier.ScopusPercentile93
dc.identifier.ScopusQuartileQ1
dc.identifier.WoSPercentile84.6
dc.identifier.WoSQuartileQ1
dc.identifier.doi10.1109/tgcn.2026.3713081
dc.identifier.embargoN/A
dc.identifier.endpage3889
dc.identifier.grantnoRGPIN-2022-04645
dc.identifier.grantnoIT29537
dc.identifier.grantnoIT44273
dc.identifier.issn2473-2400
dc.identifier.scopus2-s2.0-105045310368
dc.identifier.startpage3871
dc.identifier.urihttp://dx.doi.org/10.1109/tgcn.2026.3713081
dc.identifier.urihttps://hdl.handle.net/20.500.14288/35083
dc.identifier.volume10
dc.identifier.wosWOS:001848083100004
dc.keywordsRay tracing (physics)
dc.keywordsTracing
dc.keywordsTracking (education)
dc.keywordsPhysics-informed learning
dc.keywordsReconfigurable intelligent surfaces (RIS)
dc.keywordsQuantization-aware training
dc.keywordsDifferentiable ray tracing
dc.keywordsMIMO-OFDM
dc.keywordsNeural receiver
dc.keywordsDeep reinforcement learning
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofIEEE Transactions on Green Communications and Networking
dc.subjectPhysical sciences
dc.subjectComputer science
dc.subjectArtificial intelligence
dc.subjectEngineering
dc.subjectElectrical and electronic engineering
dc.titleEnd-to-end learning with em-aware differentiable-ready discrete-phase ris for mimo-ofdm via ray tracing
dc.typeJournal Article
dspace.entity.typePublication
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relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isParentOrgUnitOfPublication8e756b23-2d4a-4ce8-b1b3-62c794a8c164
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