Publication:
3D-ray launching MIMO channel geometric estimation

dc.contributor.authorRodríguez Corbo, Fidel Alejandro
dc.contributor.authorAzpilicueta Fernández de las Heras, Leyre
dc.contributor.authorCelaya Echarri, Mikel
dc.contributor.authorShubair, Raed M.
dc.contributor.authorFalcone Lanas, Francisco
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.date.accessioned2023-02-23T09:51:08Z
dc.date.available2023-02-23T09:51:08Z
dc.date.issued2022
dc.date.updated2023-02-23T09:42:41Z
dc.description.abstractThe complete multiple-input–multiple-output (MIMO) channel simulation in deterministic techniques can be a computationally intensive task, due to the inherent scenario’s complexity and number of antennas. The spatial coherence among MIMO elements is a reasonable assumption to approximate the channel from a single point simulation. In this letter, a novel method to incorporate a geometrical approximation of the MIMO channel into a three-dimensional ray launching (3D-RL) algorithm is presented. The method is antenna type independent and the orientation of the array is embedded in the antenna representation. Relevant information of the MIMO channel characteristics like the root mean square (rms) delay spread, the maximum delay spread, phase and channel capacity are obtained and compared with the full 3D-RL simulation of the entire MIMO array, achieving 93.4% reduction in computational time.en
dc.description.sponsorshipThis work was supported by Project RTI2018-095499-B-C31 and funded by the Ministerio de Ciencia, Innovación y Universidades, Gobierno de España (MCIU/AEI/FEDER, UE).en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRodriguez-Corbo, F. A., Azpilicueta, L., Celaya-Echarri, M., Shubair, R., & Falcone, F. (2022). 3-d ray launching mimo channel geometric estimation. IEEE Antennas and Wireless Propagation Letters, 21(12), 2362-2366. https://doi.org/10.1109/LAWP.2022.3193613en
dc.identifier.doi10.1109/LAWP.2022.3193613
dc.identifier.issn1536-1225
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/44788
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofIEEE Antennas and Wireless Propagation Letters 21(12), 2362-2366en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095499-B-C31/ES/en
dc.relation.publisherversionhttps://doi.org/10.1109/LAWP.2022.3193613
dc.rightsCreative Commons Attribution 4.0 Licenseen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectAntenna arraysen
dc.subjectApproximation methodsen
dc.subjectChannel responseen
dc.subjectComputational modelingen
dc.subjectHesse normal formen
dc.subjectIndexesen
dc.subjectMathematical modelsen
dc.subjectMIMOen
dc.subjectMIMO communicationen
dc.subjectPhased arraysen
dc.subjectRay launchingen
dc.title3D-ray launching MIMO channel geometric estimationen
dc.typeinfo:eu-repo/semantics/article
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dspace.entity.typePublication
relation.isAuthorOfPublication00915558-0f9a-4e8e-a04c-8a7eaa1629da
relation.isAuthorOfPublication76e71cd0-97ce-493a-853e-90a8d37d04c6
relation.isAuthorOfPublication69667b5c-e390-42d4-bc71-9f256c1b7b85
relation.isAuthorOfPublication.latestForDiscovery00915558-0f9a-4e8e-a04c-8a7eaa1629da

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