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dc.contributor.authorGomez Rojas, Jorge
dc.contributor.authorNavarro, Andres
dc.contributor.authorGuevara_Ibarra, Dinael
dc.contributor.authorPascual-Garcia, Juan
dc.date.accessioned2021-11-10T15:57:00Z
dc.date.available2021-11-10T15:57:00Z
dc.date.issued2019-10-05
dc.identifier.urihttp://repositorio.ufps.edu.co/handle/ufps/842
dc.description.abstractIn this article, the intended purpose is to show an innovative technique for estimating the MIMO channel at millimeter wave bands, candidates for mobile 5G technology, by using hardware acceleration, game engines and heuristic algorithms applied to optical ray launching techniques. To verify the performance of the ray launching tool, the normalized Power Delay Profile (PDP) was simulated. The channel was analyzed using the mean square delay error (RMS), the average value of the delay (MD) and the basic propagation loss (PL). The results obtained in computational precision and time were compared with those of a traditional ray tracing tool simulation programmed in MATLAB and with the measurements made in the 57 to 66 GHz range in a specialized laboratory. The results show that the presented technique becomes efficiently profitable from a small number of simulated events (reflections, diffractions).eng
dc.format.extent12 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherElectronicsspa
dc.relation.ispartofElectronics
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).eng
dc.sourcehttps://www.mdpi.com/2079-9292/8/10/1121/htmspa
dc.titleGPU acceleration and game engines for wireless channel estimation in millimeter waveseng
dc.typeArtículo de revistaspa
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dc.identifier.doihttps://doi.org/10.3390/electronics8101121
dc.publisher.placeSuizaspa
dc.relation.citationeditionVol.8 No.10.(2019)spa
dc.relation.citationendpage12spa
dc.relation.citationissue10(2019)spa
dc.relation.citationstartpage1spa
dc.relation.citationvolume8spa
dc.relation.citesGomez-Rojas, J., Guevara, D., Navarro, A., & Pascual-Garcia, J. (2019). GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves. Electronics, 8(10), 1121.
dc.relation.ispartofjournalElectronicsspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.creativecommonsAtribución 4.0 Internacional (CC BY 4.0)spa
dc.subject.proposalray launchingeng
dc.subject.proposalgame engineseng
dc.subject.proposalhardware accelerationeng
dc.subject.proposalwireless channel estimationeng
dc.subject.proposalMIMO channel estimationeng
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa


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