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Title: Dual-polarized IRSs in uplink MIMO-NOMA networks : an interference mitigation approach
Authors: Sena, Arthur S. de
Nardelli, Pedro H. J.
Costa, Daniel B. da
Dias, Ugo Silva
Aalborg, Petar Popovski
Papadias, Constantinos B.
Assunto:: Superfícies reflexivas inteligentes
Rede de acesso múltiplo não ortogonal
Multiple-input multiple-output (MIMO)
Issue Date: 26-Jul-2021
Publisher: IEEE
Citation: SENA, 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.
Abstract: In 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.
Description: This 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.
Licença:: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see
DOI: 10.1109/LWC.2021.3099867
Appears in Collections:ENE - Artigos publicados em periódicos

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