Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/11089
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Demir, O.T. | - |
dc.contributor.author | Bjornson, E. | - |
dc.date.accessioned | 2024-03-09T15:12:41Z | - |
dc.date.available | 2024-03-09T15:12:41Z | - |
dc.date.issued | 2023 | - |
dc.identifier.isbn | 9798350344523 | - |
dc.identifier.uri | https://doi.org/10.1109/CAMSAP58249.2023.10403506 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/11089 | - |
dc.description | 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023 -- 10 December 2023 through 13 December 2023 -- 196947 | en_US |
dc.description.abstract | A grid of orthogonal beams with zero column coherence can be easily constructed to cover all prospective user equipments (UEs) in the far-field region of a multiple-antenna base station (BS). However, when the BS is equipped with an extremely large aperture array, the Fraunhofer distance is huge, causing the UEs to be located in the radiative near-field region. This calls for designing a grid of beams based on a near-field dictionary. In the previous work, a polar-domain grid design was proposed to maintain control over the column coherence. A limitation of this approach is identified in this paper, and we propose an enhanced methodology for the design of a polar-domain dictionary specifically tailored for the near-field of an extremely large aperture uniform planar array. Through simulation results, it is demonstrated that the proposed dictionary, employing a non-uniform distance sampling approach, achieves lower column coherence than the benchmark and significantly improves the local-ization of UEs compared to uniform distance sampling. © 2023 IEEE. | en_US |
dc.description.sponsorship | Stiftelsen för Strategisk Forskning, SSF | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | 2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023 | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Extremely large aperture arrays | en_US |
dc.subject | near-field beam management | en_US |
dc.subject | polar-domain dictionary | en_US |
dc.subject | uniform planar array | en_US |
dc.subject | Antennas | en_US |
dc.subject | Aperture arrays | en_US |
dc.subject | Beam management | en_US |
dc.subject | Extremely large aperture array | en_US |
dc.subject | Large aperture | en_US |
dc.subject | Near fields | en_US |
dc.subject | Near-field beam management | en_US |
dc.subject | Planar arrays | en_US |
dc.subject | Polar-domain dictionary | en_US |
dc.subject | Uniform planar array | en_US |
dc.subject | User equipments | en_US |
dc.subject | Design | en_US |
dc.title | A New Polar-Domain Dictionary Design for the Near-Field Region of Extremely Large Aperture Arrays | en_US |
dc.type | Conference Object | en_US |
dc.department | TOBB ETÜ | en_US |
dc.identifier.startpage | 251 | en_US |
dc.identifier.endpage | 255 | en_US |
dc.identifier.wos | WOS:001165162200051 | en_US |
dc.identifier.scopus | 2-s2.0-85184999919 | en_US |
dc.institutionauthor | Demir, O.T. | - |
dc.identifier.doi | 10.1109/CAMSAP58249.2023.10403506 | - |
dc.authorscopusid | 55807906700 | - |
dc.authorscopusid | 24478602800 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
item.openairetype | Conference Object | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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