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An RIS-Aided Interference Mitigation Based Design for MIMO-NOMA in Cellular Networks

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An RIS-Aided Interference Mitigation Based Design for MIMO-NOMA in Cellular Networks. / Li, Jie; Song, Zhengyu; Hou, Tianwei et al.
In: IEEE Transactions on Green Communications and Networking, 17.10.2023.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Li, J, Song, Z, Hou, T, Gao, J, Li, A & Tang, Z 2023, 'An RIS-Aided Interference Mitigation Based Design for MIMO-NOMA in Cellular Networks', IEEE Transactions on Green Communications and Networking. https://doi.org/10.1109/tgcn.2023.3325377

APA

Li, J., Song, Z., Hou, T., Gao, J., Li, A., & Tang, Z. (2023). An RIS-Aided Interference Mitigation Based Design for MIMO-NOMA in Cellular Networks. IEEE Transactions on Green Communications and Networking. Advance online publication. https://doi.org/10.1109/tgcn.2023.3325377

Vancouver

Li J, Song Z, Hou T, Gao J, Li A, Tang Z. An RIS-Aided Interference Mitigation Based Design for MIMO-NOMA in Cellular Networks. IEEE Transactions on Green Communications and Networking. 2023 Oct 17. Epub 2023 Oct 17. doi: 10.1109/tgcn.2023.3325377

Author

Li, Jie ; Song, Zhengyu ; Hou, Tianwei et al. / An RIS-Aided Interference Mitigation Based Design for MIMO-NOMA in Cellular Networks. In: IEEE Transactions on Green Communications and Networking. 2023.

Bibtex

@article{b91e217998244642b79ce2900904ae3a,
title = "An RIS-Aided Interference Mitigation Based Design for MIMO-NOMA in Cellular Networks",
abstract = "In recent years, the reconfigurable intelligent surface (RIS) has garnered considerable interest for its remarkable advancements in spectral efficiency (SE) and energy efficiency (EE). To further enhance the performance of cellular networks, we propose a novel RIS-aided multi-input multi-output (MIMO) non-orthogonal multiple access (NOMA) architecture. To mitigate both inter-cell and inter-cluster interferences, we introduce a signal-cancellation-based (SCB) design specifically tailored for the RISs. By strategically deploying the RIS in suitable locations and adjusting the reflection coefficient (RC) of its elements, we achieve effective interference mitigation. The passive beamforming at the RISs is meticulously designed, and we assess how many RIS elements are necessary to implement the SCB design. To gain insights into system performance, we analyze the outage probability and the ergodic rate, providing valuable information on the high signal-to-noise ratio slopes and diversity orders for the users in the network. The numerical results reveal: 1) in comparison to the zero-forcing and maximum-ratio-transmission precoding matrices, the identity precoding matrix at the BS offers superior performance; 2) an optimal number of RIS elements exists in order to maximize both SE and EE.",
keywords = "Computer Networks and Communications, Renewable Energy, Sustainability and the Environment",
author = "Jie Li and Zhengyu Song and Tianwei Hou and Jiazi Gao and Anna Li and Zhiqing Tang",
year = "2023",
month = oct,
day = "17",
doi = "10.1109/tgcn.2023.3325377",
language = "English",
journal = "IEEE Transactions on Green Communications and Networking",
issn = "2473-2400",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - An RIS-Aided Interference Mitigation Based Design for MIMO-NOMA in Cellular Networks

AU - Li, Jie

AU - Song, Zhengyu

AU - Hou, Tianwei

AU - Gao, Jiazi

AU - Li, Anna

AU - Tang, Zhiqing

PY - 2023/10/17

Y1 - 2023/10/17

N2 - In recent years, the reconfigurable intelligent surface (RIS) has garnered considerable interest for its remarkable advancements in spectral efficiency (SE) and energy efficiency (EE). To further enhance the performance of cellular networks, we propose a novel RIS-aided multi-input multi-output (MIMO) non-orthogonal multiple access (NOMA) architecture. To mitigate both inter-cell and inter-cluster interferences, we introduce a signal-cancellation-based (SCB) design specifically tailored for the RISs. By strategically deploying the RIS in suitable locations and adjusting the reflection coefficient (RC) of its elements, we achieve effective interference mitigation. The passive beamforming at the RISs is meticulously designed, and we assess how many RIS elements are necessary to implement the SCB design. To gain insights into system performance, we analyze the outage probability and the ergodic rate, providing valuable information on the high signal-to-noise ratio slopes and diversity orders for the users in the network. The numerical results reveal: 1) in comparison to the zero-forcing and maximum-ratio-transmission precoding matrices, the identity precoding matrix at the BS offers superior performance; 2) an optimal number of RIS elements exists in order to maximize both SE and EE.

AB - In recent years, the reconfigurable intelligent surface (RIS) has garnered considerable interest for its remarkable advancements in spectral efficiency (SE) and energy efficiency (EE). To further enhance the performance of cellular networks, we propose a novel RIS-aided multi-input multi-output (MIMO) non-orthogonal multiple access (NOMA) architecture. To mitigate both inter-cell and inter-cluster interferences, we introduce a signal-cancellation-based (SCB) design specifically tailored for the RISs. By strategically deploying the RIS in suitable locations and adjusting the reflection coefficient (RC) of its elements, we achieve effective interference mitigation. The passive beamforming at the RISs is meticulously designed, and we assess how many RIS elements are necessary to implement the SCB design. To gain insights into system performance, we analyze the outage probability and the ergodic rate, providing valuable information on the high signal-to-noise ratio slopes and diversity orders for the users in the network. The numerical results reveal: 1) in comparison to the zero-forcing and maximum-ratio-transmission precoding matrices, the identity precoding matrix at the BS offers superior performance; 2) an optimal number of RIS elements exists in order to maximize both SE and EE.

KW - Computer Networks and Communications

KW - Renewable Energy, Sustainability and the Environment

U2 - 10.1109/tgcn.2023.3325377

DO - 10.1109/tgcn.2023.3325377

M3 - Journal article

JO - IEEE Transactions on Green Communications and Networking

JF - IEEE Transactions on Green Communications and Networking

SN - 2473-2400

ER -