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3D-ray launching MIMO channel geometric estimation
dc.creator | Rodríguez Corbo, Fidel Alejandro | es_ES |
dc.creator | Azpilicueta Fernández de las Heras, Leyre | es_ES |
dc.creator | Celaya Echarri, Mikel | es_ES |
dc.creator | Shubair, Raed M. | es_ES |
dc.creator | Falcone Lanas, Francisco Javier | es_ES |
dc.date.accessioned | 2023-02-23T09:51:08Z | |
dc.date.available | 2023-02-23T09:51:08Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Rodriguez-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.2022.3193613 | en |
dc.identifier.issn | 1536-1225 | |
dc.identifier.uri | https://hdl.handle.net/2454/44788 | |
dc.description.abstract | The 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.sponsorship | This 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.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | IEEE | en |
dc.relation.ispartof | IEEE Antennas and Wireless Propagation Letters 21(12), 2362-2366 | en |
dc.rights | Creative Commons Attribution 4.0 License | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | Antenna arrays | en |
dc.subject | Approximation methods | en |
dc.subject | Channel response | en |
dc.subject | Computational modeling | en |
dc.subject | Hesse normal form | en |
dc.subject | Indexes | en |
dc.subject | Mathematical models | en |
dc.subject | MIMO | en |
dc.subject | MIMO communication | en |
dc.subject | Phased arrays | en |
dc.subject | Ray launching | en |
dc.title | 3D-ray launching MIMO channel geometric estimation | en |
dc.type | Artículo / Artikulua | es |
dc.type | info:eu-repo/semantics/article | en |
dc.date.updated | 2023-02-23T09:42:41Z | |
dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza | eu |
dc.contributor.department | Institute of Smart Cities - ISC | en |
dc.rights.accessRights | Acceso abierto / Sarbide irekia | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |
dc.identifier.doi | 10.1109/LAWP.2022.3193613 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095499-B-C31/ES/ | en |
dc.relation.publisherversion | https://doi.org/10.1109/LAWP.2022.3193613 | |
dc.type.version | Versión publicada / Argitaratu den bertsioa | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | en |