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dc.contributor.authorCastellanos, German
dc.contributor.authorDeruyck, Margot
dc.contributor.authorMartens, Luc
dc.contributor.authorJoseph, Wout
dc.date.accessioned2021-05-13T13:27:35Z
dc.date.accessioned2021-10-01T17:19:09Z
dc.date.available2021-05-13T13:27:35Z
dc.date.available2021-10-01T17:19:09Z
dc.date.issued2019
dc.identifier.issn1424-8220
dc.identifier.urihttps://repositorio.escuelaing.edu.co/handle/001/1427
dc.description.abstractToday’s wireless networks provide us reliable connectivity. However, if a disaster occurs, the whole network could be out of service and people cannot communicate. Using a fast deployable temporally network by mounting small cell base stations on unmanned aerial vehicles (UAVs) could solve the problem. Yet, this raises several challenges. We propose a capacity-deployment tool to design the backhaul network for UAV-aided networks and to evaluate the performance of the backhaul network in a realistic scenario in the city center of Ghent, Belgium. This tool assigns simultaneously resources to the ground users—access network—and to the backhaul network, taking into consideration backhaul capacity and power restrictions. We compare three types of backhaul scenarios using a 3.5 GHz link, 3.5 GHz with carrier aggregation (CA) and the 60 GHz band, considering three different types of drones. The results showed that an optimal UAV flight height (80 m) could satisfy both access and backhaul networks; however, full coverage was difficult to achieve. Finally, we discuss the influence of the flight height and the number of requesting users concerning the network performance and propose an optimal configuration and new mechanisms to improve the network capacity, based on realistic restrictions.eng
dc.description.abstractLas redes inalámbricas actuales nos proporcionan una conectividad fiable. Sin embargo, si se produce una catástrofe, toda la red podría quedar fuera de servicio y las personas no podrían comunicarse. El uso de una red de despliegue rápido y temporal mediante el montaje de estaciones base de células pequeñas en vehículos aéreos no tripulados (UAV) podría resolver el problema. Sin embargo, esto plantea varios retos. Proponemos una herramienta de despliegue de capacidad para diseñar la red de backhaul para redes asistidas por UAV y para evaluar el rendimiento de la red de backhaul en un escenario realista en el centro de la ciudad de Gante, Bélgica. Esta herramienta asigna simultáneamente recursos a los usuarios de tierra -red de acceso- y a la red backhaul, teniendo en cuenta la capacidad de backhaul y las restricciones de potencia. Comparamos tres tipos de escenarios de backhaul utilizando un enlace de 3,5 GHz, 3,5 GHz con agregación de portadoras (CA) y la banda de 60 GHz, considerando tres tipos diferentes de drones. Los resultados mostraron que una altura de vuelo óptima del UAV (80 m) podía satisfacer tanto las redes de acceso como las de backhaul; sin embargo, era difícil lograr una cobertura total. Por último, se analiza la influencia de la altura de vuelo y el número de usuarios solicitantes en el rendimiento de la red y se propone una configuración óptima y nuevos mecanismos para mejorar la capacidad de la red, basados en restricciones realistas.spa
dc.format.extent16 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherMDPI Open Access Journalsspa
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/spa
dc.sourcehttps://www.mdpi.com/1424-8220/19/15/3342/htmspa
dc.titlePerformance Evaluation of Direct-Link Backhaul for UAV-Aided Emergency Networkseng
dc.typeArtículo de revistaspa
dc.description.notes1 Department of Electronics Engineering, Colombian School of Engineering, Bogota 111166, Colombia 2 Department of Information Technology, IMEC-Ghent University, 9052 Ghent, Belgium *Author to whom correspondence should be addressed.spa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.contributor.researchgroupEcitrónicaspa
dc.identifier.doi10.3390/s19153342
dc.identifier.urlhttps://doi.org/10.3390/s19153342
dc.publisher.placeBasilea, Suiza.spa
dc.relation.citationeditionSensors 2019, 19, 3342.spa
dc.relation.citationendpage16spa
dc.relation.citationissue15spa
dc.relation.citationstartpage1spa
dc.relation.citationvolume19spa
dc.relation.indexedN/Aspa
dc.relation.ispartofjournalSensorsspa
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.creativecommonsAtribución 4.0 Internacional (CC BY 4.0)spa
dc.subject.armarcSistemas de comunicación inalámbricaspa
dc.subject.armarcWireless communication systemseng
dc.subject.armarcRedes de sensores inalámbricosspa
dc.subject.armarcWireless sensor networkseng
dc.subject.proposalUABSeng
dc.subject.proposalBackhauleng
dc.subject.proposalUAVeng
dc.subject.proposalDisaster scenarioseng
dc.subject.proposalMillimeter waveeng
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa


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