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dc.contributor.authorValle López, Luis 
dc.contributor.authorPérez López, Jesús Ramón 
dc.contributor.authorTorres Jiménez, Rafael Pedro 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2020-09-28T15:04:54Z
dc.date.available2020-09-28T15:04:54Z
dc.date.issued2020-08-04
dc.identifier.issn2079-9292
dc.identifier.otherTEC2017-86779-C2-1-Res_ES
dc.identifier.urihttp://hdl.handle.net/10902/19207
dc.description.abstractIn this paper, research results on the applicability of ray-tracing (RT) techniques to model massive MIMO (MaMi) channels are presented and discussed. The main goal is to show the possibilities that site-specific models based on rigorous RT techniques, along with measurement campaigns considered for verification or calibration purposes where appropriate, can contribute to the development and deployment of 5G systems and beyond using the MaMi technique. For this purpose, starting from the measurements and verification of the simulator in a symmetric, rectangular and accessible scenario used as the testbed, the analysis of a specific case involving channel characterisation in a large, difficult access and measurement scenario was carried out using the simulation tool. Both the measurement system and the simulations emulated the up-link in an indoor cell in the framework of a MaMi-TDD-OFDM system, considering that the base station was equipped with an array consisting of 10 × 10 antennas. The comparison of the simulations with the measurements in the testbed environment allowed us to affirm that the accuracy of the simulator was high, both for determining the parameters of temporal dispersion and frequency selectivity, and for assessing the expected capacity in a specific environment. The subsequent analysis of the target environment showed the high capacities that a MaMi system can achieve in indoor picocells with a relatively high number of simultaneously active users.es_ES
dc.description.sponsorshipThis work has been supported by the Spanish Ministry of the Economy, Industry and Competitiveness (TEC2017-86779-C2-1-R)es_ES
dc.format.extent20 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceElectronics, 2020, 9(8), 1250es_ES
dc.subject.other5G mobile systemses_ES
dc.subject.otherFrequency selectivityes_ES
dc.subject.otherChannel capacityes_ES
dc.subject.otherMassive MIMOes_ES
dc.subject.otherRay-tracinges_ES
dc.titleCharacterisation of indoor massive MIMO channels using ray-tracing: A case study in the 3.2-4.0 GHz 5G bandes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.3390/electronics9081250
dc.type.versionpublishedVersiones_ES


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Mostrar el registro sencillo

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.Excepto si se señala otra cosa, la licencia del ítem se describe como © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.