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dc.contributor.authorRamírez Arroyo, Alejandro 
dc.contributor.authorLópez, Melisa
dc.contributor.authorRodríguez Larrad, Ignacio
dc.contributor.authorB. Sørensen, Troels
dc.contributor.authorCaporal del Barrio, Samantha
dc.contributor.authorPadilla De La Torre, Pablo 
dc.contributor.authorValenzuela Valdes, Juan Francisco 
dc.contributor.authorMogensen, Preben
dc.date.accessioned2024-10-07T10:10:53Z
dc.date.available2024-10-07T10:10:53Z
dc.date.issued2024-09-20
dc.identifier.citationRamíez Arroyo, A. et. al. 73(9), 13513-13525. Article 10520933. [https://doi.org/10.1109/TVT.2024.3393533]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/95619
dc.description.abstractIndustrial environments constitute a challenge in terms of radio propagation due to the presence of machinery and the mobility of the different agents, especially at mmWave bands. This paper presents an experimental evaluation of a FR2 5G network deployed in an operational factory scenario at 26 GHz. The experimental characterization, performed with autonomous mobile robots that self-navigate the industrial lab, leads to the analysis of the received power along the factory and the evaluation of reference path gain models. The proposed assessment deeply analyzes the physical layer of the communication network under operational conditions. Thus, two different network configurations are assessed by measuring the power received in the entire factory, providing a comparison between deployments. Additionally, beam management procedures, such as beam recovery, beam sweeping or beam switching, are analyzed since they are crucial in environments wheremobile agents are involved. They aim for a zero interruption approach based on reliable communications. The results analysis shows that beam recovery procedures can perform a beam switching to an alternative serving beam with power losses of less than 1.6 dB on average. Beam sweeping analysis demonstrates the prevalence of the direct component in Line-of-Sight conditions despite the strong scattering component and large-scale fading in the environment.es_ES
dc.description.sponsorshipMCIN/AEI/10.13039/ 501100011033 under Grant TED2021-129938B-I00es_ES
dc.description.sponsorshipEuropean Union NextGenerationEU/PRTRes_ES
dc.description.sponsorshipin part by the European Union NextGenerationEU/PRTR, in part by MCIN/AEI/10.13039/ 501100011033 under Grant PID2020-112545RB-C54es_ES
dc.description.sponsorshipPDC2022- 133900-I00, and Grant PDC2023-145862-I00es_ES
dc.description.sponsorshipSpanish Ministry of Science and Innovation under Ramon y Cajal Fellowship under Grant RYC-2020-030676-Ies_ES
dc.description.sponsorshipMCIN/AEI/10.13039/501100011033es_ES
dc.description.sponsorshipEuropean Social Fund “Investing in your future,”es_ES
dc.description.sponsorshipMinisterio de Universidades, Gobierno de España under Predoctoral Fundinges_ES
dc.description.sponsorshipUniversidad de Granada/CBUA under Grant FPU19/01251es_ES
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineerses_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject5G Networkes_ES
dc.subjectbeam managementes_ES
dc.subjectindustrial scenarioes_ES
dc.titleFR2 5G Networks for Industrial Scenarios: Experimental Characterization and Beam Management Procedures in Operational Conditionses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1109/TVT.2024.3393533
dc.type.hasVersionVoRes_ES


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