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Authordc.contributor.authorPalacios Jativa, Pablo Geovanny
Authordc.contributor.authorAzurdia Meza, Cesar Augusto
Authordc.contributor.authorZabala Blanco, David
Authordc.contributor.authorGutiérrez, Carlos A.
Authordc.contributor.authorSánchez, Iván
Authordc.contributor.authorCastillo Soria, Francisco R.
Authordc.contributor.authorSeguel, Fabián
Admission datedc.date.accessioned2023-11-15T16:11:48Z
Available datedc.date.available2023-11-15T16:11:48Z
Publication datedc.date.issued2022
Cita de ítemdc.identifier.citationInt. J. Electron Commun. (AEÜ) 145 (2022) 154101es_ES
Identifierdc.identifier.other10.1016/j.aeue.2021.154101
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/196386
Abstractdc.description.abstractAnalytical expressions of the statistical distribution of the underground mining visible light communication (UMVLC) square-channel gain are derived considering scattering, shadowing, and a random position and orientation of the receiver. These expressions are employed to compute the system's bit error probability (BEP) considering shot and thermal noises, on-off keying modulation, as well as perfect and imperfect channel state information (CSI) at the receiver side. The results obtained for the BEP are validated by computer simulations for various UMVLC scenarios. A close agreement is observed between the analytical and simulated curves. Furthermore, the performance of the UM-VLC system improves by increasing the field-of-view (FoV) and/or signal-to-noise-ratio. Indeed, for a FoV value of 45 for both the UM-VLC system with perfect CSI and imperfect CSI, the best performance in terms of BEP is obtained. In terms of the UM-VLC system with imperfect CSI, BEP curves saturate for higher values of signal-to-noise-ratio (SNR) due to lower values of FoV, specifically in the case of 45. Finally, the performance of the UM-VLC system increases significantly for higher values of SNR, specifically in the case of 20 dB.es_ES
Patrocinadordc.description.sponsorshipANID FONDECYT 1211132 ANID PFCHA/Doctorado Nacional 2019-21190489 UDLA Telecommunications Engineering Degree, SENESCYT CIBAE-023-2014 CODELCO: Concurso Piensa Mineria 2021 Grupo de Investigacion en Inteligencia Artificial y Tecnologias de la Informacion (IATI)es_ES
Lenguagedc.language.isoenes_ES
Publisherdc.publisherElsevieres_ES
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
Sourcedc.sourceAEUE - International Journal of Electronics and Communicationses_ES
Keywordsdc.subjectBit error probabilityes_ES
Keywordsdc.subjectChannel state informationes_ES
Keywordsdc.subjectLeast squares channel estimatores_ES
Keywordsdc.subjectUnderground mininges_ES
Keywordsdc.subjectVisible light communicationes_ES
Títulodc.titleBit error probability of VLC systems in underground mining channels with imperfect CSIes_ES
Document typedc.typeArtículo de revistaes_ES
dc.description.versiondc.description.versionVersión publicada - versión final del editores_ES
dcterms.accessRightsdcterms.accessRightsAcceso abiertoes_ES
Catalogueruchile.catalogadorapces_ES
Indexationuchile.indexArtículo de publícación WoSes_ES


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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States