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dc.contributor.author | Prado-Alvarez, Danaisy | es_ES |
dc.contributor.author | Antón, Alejandro | es_ES |
dc.contributor.author | Calabuig Soler, Daniel | es_ES |
dc.contributor.author | Monserrat del Río, Jose Francisco | es_ES |
dc.contributor.author | Bazzi, Samer | es_ES |
dc.contributor.author | Xu, Wen | es_ES |
dc.date.accessioned | 2023-07-17T18:02:26Z | |
dc.date.available | 2023-07-17T18:02:26Z | |
dc.date.issued | 2022-05 | es_ES |
dc.identifier.issn | 0013-5194 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/195080 | |
dc.description.abstract | [EN] In received power modelling for system level simulations, the relative orientation of the transmitter and receiver antennas are not generally considered. By doing that, a constant gain of the receiver antenna, independently of the angle of arrival, is implicitly assumed. This is usually of minor relevance for small or low-dense scenarios. However, in ultra-dense deployments, especially those based on cell-free massive multiple-input¿multiple-output architectures where users interact with all access points, the consideration of the antennas relative orientation comes to the forefront. In this paper, the impact of whether to take the receiver antenna gain into account or not for ultra-dense indoor environments with ceiling-mounted antennas are studied. A simple approach to take this gain into account using the antenna effective area is provided. Finally, this approach is compared with that based on antenna radiation patterns. | es_ES |
dc.description.sponsorship | The work of Danaisy Prado was supported by the H2020 Marie Curie Program, with Project Grant No. 766231 WAVECOMBE - ITN - 2017. This was also supported by the Spanish Ministry of Science, Innovation and University under the project RTI2018-099880-B-C31. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Institution of Electrical Engineers | es_ES |
dc.relation.ispartof | Electronics Letters | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject.classification | TEORÍA DE LA SEÑAL Y COMUNICACIONES | es_ES |
dc.title | Received power modelling in ultra-dense networks | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1049/ell2.12470 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099880-B-C31/ES/ROBOTICA EN LA NUBE Y EL IMPACTO DE LAS REDES 5G EN LA FABRICA DEL FUTURO/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/766231/EU | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia | es_ES |
dc.description.bibliographicCitation | Prado-Alvarez, D.; Antón, A.; Calabuig Soler, D.; Monserrat Del Río, JF.; Bazzi, S.; Xu, W. (2022). Received power modelling in ultra-dense networks. Electronics Letters. 58(11):448-450. https://doi.org/10.1049/ell2.12470 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1049/ell2.12470 | es_ES |
dc.description.upvformatpinicio | 448 | es_ES |
dc.description.upvformatpfin | 450 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 58 | es_ES |
dc.description.issue | 11 | es_ES |
dc.relation.pasarela | S\462024 | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | COMISION DE LAS COMUNIDADES EUROPEA | es_ES |