dc.contributor.author | Pérez Campo, Jesús | |
dc.contributor.author | Díez Fernández, Luis Francisco | |
dc.contributor.author | Choque Ollachica, Johnny | |
dc.contributor.author | Muñoz Gutiérrez, Luis | |
dc.contributor.author | Velasco de la Fuente, Pedro | |
dc.contributor.author | Soldado, José Ramón | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2025-04-29T17:51:21Z | |
dc.date.available | 2025-04-29T17:51:21Z | |
dc.date.issued | 2024 | |
dc.identifier.isbn | 978-3-903176-63-8 | |
dc.identifier.isbn | 979-8-3503-9060-5 | |
dc.identifier.uri | https://hdl.handle.net/10902/36307 | |
dc.description.abstract | The research community is increasingly driven to develop new approaches to meet the demands of ubiquitous connectivity. This includes addressing spontaneous communication requirements arising from crowd events or responding to the communication challenges posed by natural disasters or other emergency situations. Agile network management techniques, empowered by artificial intelligence, and leveraging the third spatial dimension, offer promising solutions to address these challenges. This paper explores the integration of unmanned aerial vehicles(UAVs) with 5G network technologies to enhance mobile network performance and coverage. By deploying gNodeB on UAV platforms, dynamic resource allocation and network function scalability could be improved, facilitating rapid deployment of temporary mobile network nodes. The work describes a practical integration and communication performance emulation to evaluate the capabilities and performance of UAV-mounted gNodeBs. Special attention is payed to the impact backhaul link, which connects the base stations with the terrestrial core network, over service performance. | es_ES |
dc.description.sponsorship | This research has been supported by the Eureka CELTICNEXT project “Intelligent Management Of Next Generation Mobile Networks And Service” (IMMINENCE, C2020/2-2), funded in Spain by the Centro para el Desarrollo Tecnologico ´ Industrial E.P.E. (CDTI), and by the Government of Cantabria through the project “Enabling Technologies for Digital Twins and their application in the chemical and communications sectors” (GDQuiC) of the program “Grants for research projects with high industrial potential of of technological agents of excellence for industrial competitiveness TCNIC”. | es_ES |
dc.format.extent | 3 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | es_ES |
dc.rights | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | es_ES |
dc.source | IFIP Networking Conference (IFIP Networking), Thessaloniki, Greece, 2024, 589-591 | es_ES |
dc.subject.other | UAV | es_ES |
dc.subject.other | 5G | es_ES |
dc.subject.other | NVF | es_ES |
dc.subject.other | gNodeB | es_ES |
dc.subject.other | CN | es_ES |
dc.subject.other | Backhaul | es_ES |
dc.title | Dynamic connectivity solutions: UAV integration with 5G networks | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.relation.publisherVersion | https://doi.org/10.23919/IFIPNetworking62109.2024.10619825 | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.identifier.DOI | 10.23919/IFIPNetworking62109.2024.10619825 | |
dc.type.version | acceptedVersion | es_ES |