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dc.contributor.authorSena, Arthur S. de-
dc.contributor.authorNardelli, Pedro H. J.-
dc.contributor.authorCosta, Daniel B. da-
dc.contributor.authorDias, Ugo Silva-
dc.contributor.authorAalborg, Petar Popovski-
dc.contributor.authorPapadias, Constantinos B.-
dc.identifier.citationSENA, Arthur S. de et al. Dual-polarized IRSs in uplink MIMO-NOMA networks: an interference mitigation approach. IEEE Wireless Communications Letters, 2021. DOI: 10.1109/LWC.2021.3099867. Disponível em: Acesso em: 20 set. 2021.pt_BR
dc.descriptionThis article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/LWC.2021.3099867, IEEE Wireless Communications Letters.pt_BR
dc.rightsAcesso Abertopt_BR
dc.titleDual-polarized IRSs in uplink MIMO-NOMA networks : an interference mitigation approachpt_BR
dc.subject.keywordSuperfícies reflexivas inteligentespt_BR
dc.subject.keywordRede de acesso múltiplo não ortogonalpt_BR
dc.subject.keywordMultiple-input multiple-output (MIMO)pt_BR
dc.rights.licenseThis work is licensed under a Creative Commons Attribution 4.0 License. For more information, see
dc.description.abstract1In this work, intelligent reflecting surfaces (IRSs) are optimized to manipulate signal polarization and improve the uplink performance of a dual-polarized multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) network. By multiplexing subsets of users in the polarization domain, we propose a strategy for reducing the interference load observed in the successive interference cancellation (SIC) process. To this end, dual-polarized IRSs are programmed to mitigate interference impinging at the base station (BS) in unsigned polarizations, in which the optimal set of reflecting coefficients are obtained via conditional gradient method. We also develop an adaptive power allocation strategy to guarantee rate fairness within each subset, in which the optimal power coefficients are obtained via a low-complexity alternate approach. Our results show that all users can reach high data rates with the proposed scheme, substantially outperforming conventional systems.pt_BR
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