IRS-Assisted Massive MIMO-NOMA Networks with Polarization Diversity

Arthur S. De Sena; Pedro H.J. Nardelli; Daniel B. Da Costa; F. Rafael M. Lima; Liang Yang; Petar Popovski; Zhiguo Ding; Constantinos B. Papadias

doi:10.1109/ICCWorkshops50388.2021.9473595

IRS-Assisted Massive MIMO-NOMA Networks with Polarization Diversity

Arthur S. De Sena
, Pedro H.J. Nardelli
, Daniel B. Da Costa
, F. Rafael M. Lima
, Liang Yang
, Petar Popovski
, Zhiguo Ding
, Constantinos B. Papadias

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

In this paper, the appealing features of a dual-polarized intelligent reflecting surface (IRS) are exploited to improve the performance of dual-polarized massive multiple-input multiple-output (MIMO) with non-orthogonal multiple access (NOMA) under imperfect successive interference cancellation (SIC). By considering the downlink of a multi-cluster scenario, the IRSs assist the base station (BS) to multiplex subsets of users in the polarization domain. Our novel strategy alleviates the impact of imperfect SIC and enables users to exploit polarization diversity with near-zero inter-subset interference. Our results show that when the IRSs are large enough, the proposed scheme always outperforms conventional massive MIMO-NOMA and MIMO-OMA systems even if SIC error propagation is present. It is also confirmed that dual-polarized IRSs can make cross-polar transmissions beneficial to the users, allowing them to improve their performance through polarization diversity.

Original language	English
Title of host publication	2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728194417
DOIs	https://doi.org/10.1109/ICCWorkshops50388.2021.9473595
State	Published - Jun 2021
Externally published	Yes

Publication series

Name	2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

Massive MIMO
Multi-polarization
NOMA
intelligent reflecting surfaces

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Information Systems and Management

Access to Document

10.1109/ICCWorkshops50388.2021.9473595

Cite this

De Sena, A. S., Nardelli, P. H. J., Da Costa, D. B., Lima, F. R. M., Yang, L., Popovski, P., Ding, Z., & Papadias, C. B. (2021). IRS-Assisted Massive MIMO-NOMA Networks with Polarization Diversity. In 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings Article 9473595 (2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCWorkshops50388.2021.9473595

De Sena, Arthur S. ; Nardelli, Pedro H.J. ; Da Costa, Daniel B. et al. / IRS-Assisted Massive MIMO-NOMA Networks with Polarization Diversity. 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings).

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title = "IRS-Assisted Massive MIMO-NOMA Networks with Polarization Diversity",

abstract = "In this paper, the appealing features of a dual-polarized intelligent reflecting surface (IRS) are exploited to improve the performance of dual-polarized massive multiple-input multiple-output (MIMO) with non-orthogonal multiple access (NOMA) under imperfect successive interference cancellation (SIC). By considering the downlink of a multi-cluster scenario, the IRSs assist the base station (BS) to multiplex subsets of users in the polarization domain. Our novel strategy alleviates the impact of imperfect SIC and enables users to exploit polarization diversity with near-zero inter-subset interference. Our results show that when the IRSs are large enough, the proposed scheme always outperforms conventional massive MIMO-NOMA and MIMO-OMA systems even if SIC error propagation is present. It is also confirmed that dual-polarized IRSs can make cross-polar transmissions beneficial to the users, allowing them to improve their performance through polarization diversity.",

keywords = "Massive MIMO, Multi-polarization, NOMA, intelligent reflecting surfaces",

author = "\{De Sena\}, \{Arthur S.\} and Nardelli, \{Pedro H.J.\} and \{Da Costa\}, \{Daniel B.\} and Lima, \{F. Rafael M.\} and Liang Yang and Petar Popovski and Zhiguo Ding and Papadias, \{Constantinos B.\}",

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year = "2021",

month = jun,

doi = "10.1109/ICCWorkshops50388.2021.9473595",

language = "English",

series = "2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings",

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De Sena, AS, Nardelli, PHJ, Da Costa, DB, Lima, FRM, Yang, L, Popovski, P, Ding, Z & Papadias, CB 2021, IRS-Assisted Massive MIMO-NOMA Networks with Polarization Diversity. in 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings., 9473595, 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICCWorkshops50388.2021.9473595

IRS-Assisted Massive MIMO-NOMA Networks with Polarization Diversity. / De Sena, Arthur S.; Nardelli, Pedro H.J.; Da Costa, Daniel B. et al.
2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. 9473595 (2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - De Sena, Arthur S.

AU - Nardelli, Pedro H.J.

AU - Da Costa, Daniel B.

AU - Lima, F. Rafael M.

AU - Yang, Liang

AU - Popovski, Petar

AU - Ding, Zhiguo

AU - Papadias, Constantinos B.

PY - 2021/6

Y1 - 2021/6

N2 - In this paper, the appealing features of a dual-polarized intelligent reflecting surface (IRS) are exploited to improve the performance of dual-polarized massive multiple-input multiple-output (MIMO) with non-orthogonal multiple access (NOMA) under imperfect successive interference cancellation (SIC). By considering the downlink of a multi-cluster scenario, the IRSs assist the base station (BS) to multiplex subsets of users in the polarization domain. Our novel strategy alleviates the impact of imperfect SIC and enables users to exploit polarization diversity with near-zero inter-subset interference. Our results show that when the IRSs are large enough, the proposed scheme always outperforms conventional massive MIMO-NOMA and MIMO-OMA systems even if SIC error propagation is present. It is also confirmed that dual-polarized IRSs can make cross-polar transmissions beneficial to the users, allowing them to improve their performance through polarization diversity.

AB - In this paper, the appealing features of a dual-polarized intelligent reflecting surface (IRS) are exploited to improve the performance of dual-polarized massive multiple-input multiple-output (MIMO) with non-orthogonal multiple access (NOMA) under imperfect successive interference cancellation (SIC). By considering the downlink of a multi-cluster scenario, the IRSs assist the base station (BS) to multiplex subsets of users in the polarization domain. Our novel strategy alleviates the impact of imperfect SIC and enables users to exploit polarization diversity with near-zero inter-subset interference. Our results show that when the IRSs are large enough, the proposed scheme always outperforms conventional massive MIMO-NOMA and MIMO-OMA systems even if SIC error propagation is present. It is also confirmed that dual-polarized IRSs can make cross-polar transmissions beneficial to the users, allowing them to improve their performance through polarization diversity.

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KW - Multi-polarization

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BT - 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings

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ER -

De Sena AS, Nardelli PHJ, Da Costa DB, Lima FRM, Yang L, Popovski P et al. IRS-Assisted Massive MIMO-NOMA Networks with Polarization Diversity. In 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. 9473595. (2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings). doi: 10.1109/ICCWorkshops50388.2021.9473595

IRS-Assisted Massive MIMO-NOMA Networks with Polarization Diversity

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this