Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/11866
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Demir, Özlem Tuğfe | - |
dc.contributor.author | Kosasih, Alva | - |
dc.contributor.author | Bjornson, Emil | - |
dc.date.accessioned | 2024-11-10T14:56:04Z | - |
dc.date.available | 2024-11-10T14:56:04Z | - |
dc.date.issued | 2024 | - |
dc.identifier.isbn | 9798350393194 | - |
dc.identifier.isbn | 9798350393187 | - |
dc.identifier.issn | 1948-3244 | - |
dc.identifier.uri | https://doi.org/10.1109/SPAWC60668.2024.10694490 | - |
dc.description.abstract | Extremely 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.sponsorship | Scientific and Technological Research Council of Turkiye [2232-B] | en_US |
dc.description.sponsorship | The 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.iso | en | en_US |
dc.publisher | Ieee | en_US |
dc.relation.ispartof | 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) -- SEP 10-13, 2024 -- Lucca, ITALY | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Extremely Large-Scale Mimo | en_US |
dc.subject | Reduced-Subspace Least-Square Estimator | en_US |
dc.subject | Spatial Correlation | en_US |
dc.subject | Near-Field Channels | en_US |
dc.title | Spatial Correlation Modeling and Rs-Ls Estimation of Near-Field Channels With Uniform Planar Arrays | en_US |
dc.type | Conference Object | en_US |
dc.relation.ispartofseries | IEEE International Workshop on Signal Processing Advances in Wireless Communications | - |
dc.department | TOBB University of Economics and Technology | en_US |
dc.identifier.startpage | 236 | en_US |
dc.identifier.endpage | 240 | en_US |
dc.identifier.wos | WOS:001337964100048 | - |
dc.identifier.scopus | 2-s2.0-85207062356 | - |
dc.institutionauthor | … | - |
dc.identifier.doi | 10.1109/SPAWC60668.2024.10694490 | - |
dc.authorwosid | Kosasih, Alva/AAH-2730-2021 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | N/A | - |
dc.identifier.wosquality | N/A | - |
dc.description.woscitationindex | Conference Proceedings Citation Index - Science | - |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.openairetype | Conference Object | - |
item.grantfulltext | none | - |
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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