Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11866
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dc.contributor.authorDemir, Özlem Tuğfe-
dc.contributor.authorKosasih, Alva-
dc.contributor.authorBjornson, Emil-
dc.date.accessioned2024-11-10T14:56:04Z-
dc.date.available2024-11-10T14:56:04Z-
dc.date.issued2024-
dc.identifier.isbn9798350393194-
dc.identifier.isbn9798350393187-
dc.identifier.issn1948-3244-
dc.identifier.urihttps://doi.org/10.1109/SPAWC60668.2024.10694490-
dc.description.abstractExtremely large aperture arrays (ELAAs) can offer massive spatial multiplexing gains in the radiative near-field region in beyond 5G systems. While near-field channel modeling for uniform linear arrays has been extensively explored in the literature, uniform planar arrays-despite their advantageous form factor-have been somewhat neglected due to their more complex nature. Spatial correlation is crucial for non-line-of-sight channel modeling. Unlike far-field scenarios, the spatial correlation properties of near-field channels have not been thoroughly investigated. In this paper, we start from the fundamentals and develop a near-field spatial correlation model for arbitrary spatial scattering functions. Furthermore, we derive the lower-dimensional subspace where the channel vectors can exist. It is based on prior knowledge of the three-dimensional coverage region where scattering clusters exists and we derive a tractable one-dimensional integral expression. This subspace is subsequently employed in the reduced-subspace least squares (RS-LS) estimation method for near-field channels, thereby enhancing performance over the traditional least squares estimator without the need for having full spatial correlation matrix knowledge.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkiye [2232-B]en_US
dc.description.sponsorshipThe work by O. T. Demir was supported by 2232-B International Fellowship for Early Stage Researchers Programme funded by the Scientific and Technological Research Council of Turkiye.en_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof25th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) -- SEP 10-13, 2024 -- Lucca, ITALYen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectExtremely Large-Scale Mimoen_US
dc.subjectReduced-Subspace Least-Square Estimatoren_US
dc.subjectSpatial Correlationen_US
dc.subjectNear-Field Channelsen_US
dc.titleSpatial Correlation Modeling and Rs-Ls Estimation of Near-Field Channels With Uniform Planar Arraysen_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesIEEE International Workshop on Signal Processing Advances in Wireless Communications-
dc.departmentTOBB University of Economics and Technologyen_US
dc.identifier.startpage236en_US
dc.identifier.endpage240en_US
dc.identifier.wosWOS:001337964100048-
dc.identifier.scopus2-s2.0-85207062356-
dc.institutionauthor-
dc.identifier.doi10.1109/SPAWC60668.2024.10694490-
dc.authorwosidKosasih, Alva/AAH-2730-2021-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityN/A-
dc.identifier.wosqualityN/A-
dc.description.woscitationindexConference Proceedings Citation Index - Science-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.grantfulltextnone-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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