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dc.contributor.authorCelaya-Echarri, Mikel
dc.contributor.authorAzpilicueta, Leyre
dc.contributor.authorRodríguez-Corbo, Fidel Alejandro
dc.contributor.authorLopez-Iturri, Peio
dc.contributor.authorRamos-Gonzalez, Maria Victoria 
dc.contributor.authorAlibakhshikenari, Mohammad
dc.contributor.authorShubair, Raed M
dc.contributor.authorFalcone, Francisco
dc.date.accessioned2022-05-11T11:40:20Z
dc.date.available2022-05-11T11:40:20Z
dc.date.issued2021-12-16
dc.identifier.citationSensors (Basel). 2021 Dec 16;21(24):8419.es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/14382
dc.description.abstractThe densification of multiple wireless communication systems that coexist nowadays, as well as the 5G new generation cellular systems advent towards the millimeter wave (mmWave) frequency range, give rise to complex context-aware scenarios with high-node density heterogeneous networks. In this work, a radiofrequency electromagnetic field (RF-EMF) exposure assessment from an empirical and modeling approach for a large, complex indoor setting with high node density and traffic is presented. For that purpose, an intensive and comprehensive in-depth RF-EMF E-field characterization study is provided in a public library study case, considering dense personal mobile communications (5G FR2 @28 GHz) and wireless 802.11ay (@60 GHz) data access services on the mmWave frequency range. By means of an enhanced in-house deterministic 3D ray launching (3D-RL) simulation tool for RF-EMF exposure assessment, different complex heterogenous scenarios of high complexity are assessed in realistic operation conditions, considering different user distributions and densities. The use of directive antennas and MIMO beamforming techniques, as well as all the corresponding features in terms of radio wave propagation, such as the body shielding effect, dispersive material properties of obstacles, the impact of the distribution of scatterers and the associated electromagnetic propagation phenomena, are considered for simulation. Discussion regarding the contribution and impact of the coexistence of multiple heterogeneous networks and services is presented, verifying compliance with the current established international regulation limits with exposure levels far below the aforementioned limits. Finally, the proposed simulation technique is validated with a complete empirical campaign of measurements, showing good agreement. In consequence, the obtained datasets and simulation estimations, along with the proposed RF-EMF simulation tool, could be a reference approach for the design, deployment and exposure assessment of the current and future wireless communication technologies on the mmWave spectrum, where massive high-node density heterogeneous networks are expected.es_ES
dc.description.sponsorshipProject RTI2018-095499-B-C31 was funded by the Ministerio de Ciencia, Innovación y Universidades, Gobierno de España (MCIU/AEI/FEDER, UE). This project received funding from Universidad Carlos III de Madrid and the European Union’s Horizon 2020 research and innovation programme under Marie Sklodowska-Curie Grant 801538.es_ES
dc.language.isoenges_ES
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI) es_ES
dc.type.hasVersionVoRes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject3D ray launching (3D-RL)es_ES
dc.subjectElectromagnetic safetyes_ES
dc.subjectMmWavees_ES
dc.subjectPropagation modelinges_ES
dc.subjectRadiofrequency electromagnetic fields (RF-EMF)es_ES
dc.subject5Ges_ES
dc.subject802.11ayes_ES
dc.titleTowards Environmental RF-EMF Assessment of mmWave High-Node Density Complex Heterogeneous Environmentses_ES
dc.typejournal articlees_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.identifier.pubmedID34960513es_ES
dc.format.volume21es_ES
dc.format.number24es_ES
dc.format.page8419es_ES
dc.identifier.doi10.3390/s21248419es_ES
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España) es_ES
dc.contributor.funderCarlos III University of Madrid (España) es_ES
dc.contributor.funderUnión Europea. Comisión Europea. H2020 es_ES
dc.description.peerreviewedes_ES
dc.identifier.e-issn1424-8220es_ES
dc.relation.publisherversionhttps://doi.org/10.3390/s21248419es_ES
dc.identifier.journalSensors (Basel, Switzerland)es_ES
dc.repisalud.centroISCIII::Unidad de Investigación en Telemedicina y eSaludes_ES
dc.repisalud.institucionISCIIIes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/801538/EUes_ES
dc.rights.accessRightsopen accesses_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/RTI2018-095499-B-C31es_ES


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Este Item está sujeto a una licencia Creative Commons: Atribución 4.0 Internacional