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dc.contributor.author | Chen, Youjia | es_ES |
dc.contributor.author | Zhang, Baoxian | es_ES |
dc.contributor.author | Hu, Jinsong | es_ES |
dc.contributor.author | López-Pérez, David | es_ES |
dc.contributor.author | Ding, Ming | es_ES |
dc.date.accessioned | 2024-03-08T11:18:12Z | |
dc.date.available | 2024-03-08T11:18:12Z | |
dc.date.issued | 2023-10 | es_ES |
dc.identifier.issn | 1089-7798 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/202988 | |
dc.description.abstract | [EN] Intelligent reflecting surfaces (IRSs) have been proposed in recent years as a promising technology to enhance signal quality at high frequencies and save energy. In this letter, a Poisson bipolar network model with line segments is used to analyze the energy efficiency (EE) of an IRS-assisted, large-scale network. Specifically, we investigate the performance impact of the IRS configuration, in particular, the number of IRS elements and the phase-shifting resolution of each element. Using customized energy consumption and channel estimation models, we obtain the theoretical trade-off between signal quality and energy consumption as a function of these IRS configurations. The optimal number of elements and phase-shifting resolution of the IRS are also derived. Our results show that IRS technology has great potential for improving the EE of dense networks if their static energy consumption is small enough. Simulation results verify the accuracy of the obtained theoretical results. | es_ES |
dc.description.sponsorship | This work was supported by the Natural Science Foundation of Fujian Province under Grant 2022J01081 and Grant 2020J05106; the National Natural Science Foundation of China under Grant 62271150 and Grant 62001116; and the Generalitat Valenciana, Spain, through the CIDEGENT PlaGenT, Grant CIDEXG/2022/17, Project iTENTE. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Institute of Electrical and Electronics Engineers | es_ES |
dc.relation.ispartof | IEEE Communications Letters | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Energy efficiency | es_ES |
dc.subject | Intelligent reflecting surface | es_ES |
dc.subject | Phase-shifting resolution | es_ES |
dc.title | Analysis on Energy Efficiency of Large Scale Intelligent Reflecting Surface-Enabled Networks | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1109/LCOMM.2023.3304813 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//CIDEXG%2F2022%2F17//iTENTE/ | es_ES |
dc.rights.accessRights | Abierto | 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.description.bibliographicCitation | Chen, Y.; Zhang, B.; Hu, J.; López-Pérez, D.; Ding, M. (2023). Analysis on Energy Efficiency of Large Scale Intelligent Reflecting Surface-Enabled Networks. IEEE Communications Letters. 27(10):2802-2806. https://doi.org/10.1109/LCOMM.2023.3304813 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1109/LCOMM.2023.3304813 | es_ES |
dc.description.upvformatpinicio | 2802 | es_ES |
dc.description.upvformatpfin | 2806 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 27 | es_ES |
dc.description.issue | 10 | es_ES |
dc.relation.pasarela | S\510363 | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |