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Machine Vision Aided Adaptive Beamforming Decision for IRS-Assisted Wireless Networks

 
dc.contributor.authorMunawar, Muteen
dc.contributor.authorGuenach, Mamoun
dc.contributor.authorMoerman, Ingrid
dc.contributor.imecauthorMunawar, M.
dc.contributor.imecauthorGuenach, M.
dc.contributor.imecauthorMoerman, I
dc.date.accessioned2024-09-09T17:57:19Z
dc.date.available2024-09-09T17:57:19Z
dc.date.issued2024
dc.description.wosFundingTextThe research leading to these results has received funding from the European Community's Research Foundation Flanders (FWO) under grant agreement no A2582.00.01.01 Project Strip-link MIMO FWO - 97707.
dc.identifier.doi10.1109/EuCNC/6GSummit60053.2024.10597126
dc.identifier.eisbn979-8-3503-4499-8
dc.identifier.isbn979-8-3503-4500-1
dc.identifier.issn2475-6490
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/44444
dc.publisherIEEE
dc.source.beginpage517
dc.source.conferenceJoint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
dc.source.conferencedate2024-06-03
dc.source.conferencelocationAntwerp
dc.source.endpage522
dc.source.numberofpages6
dc.subject.keywordsINTELLIGENT REFLECTING SURFACE
dc.subject.keywordsCHANNEL ESTIMATION
dc.title

Machine Vision Aided Adaptive Beamforming Decision for IRS-Assisted Wireless Networks

dc.typeProceedings paper
dspace.entity.typePublication
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