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Power Efficient IRS-Assisted NOMA

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Power Efficient IRS-Assisted NOMA. / Zhu, Jianyue; Huang, Yongming; Wang, Jiaheng; Navaie, Keivan; Ding, Zhiguo.

In: IEEE Transactions on Communications, Vol. 69, No. 2, 01.02.2021, p. 900 - 913.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Zhu, J, Huang, Y, Wang, J, Navaie, K & Ding, Z 2021, 'Power Efficient IRS-Assisted NOMA', IEEE Transactions on Communications, vol. 69, no. 2, pp. 900 - 913. https://doi.org/10.1109/TCOMM.2020.3029617

APA

Zhu, J., Huang, Y., Wang, J., Navaie, K., & Ding, Z. (2021). Power Efficient IRS-Assisted NOMA. IEEE Transactions on Communications, 69(2), 900 - 913. https://doi.org/10.1109/TCOMM.2020.3029617

Vancouver

Zhu J, Huang Y, Wang J, Navaie K, Ding Z. Power Efficient IRS-Assisted NOMA. IEEE Transactions on Communications. 2021 Feb 1;69(2):900 - 913. https://doi.org/10.1109/TCOMM.2020.3029617

Author

Zhu, Jianyue ; Huang, Yongming ; Wang, Jiaheng ; Navaie, Keivan ; Ding, Zhiguo. / Power Efficient IRS-Assisted NOMA. In: IEEE Transactions on Communications. 2021 ; Vol. 69, No. 2. pp. 900 - 913.

Bibtex

@article{dd2f34d6df244cbbbf6fdbeed6fb27e0,
title = "Power Efficient IRS-Assisted NOMA",
abstract = "In this paper, we propose a downlink multiple-input single-output (MISO) transmission scheme, which is assisted by an intelligent reflecting surface (IRS) consisting of a large number of passive reflecting elements. In the literature, it has been proved that nonorthogonal multiple access (NOMA) can achieve the same performance as computationally complex dirty paper coding, where the quasi-degradation condition is satisfied, conditioned on the users{\textquoteright} channels fall in the quasi-degradation region. However, in a conventional communication scenario, it is difficult to guarantee the quasi-degradation, because the channels are determined by the propagation environments and cannot be reconfigured. To overcome this difficulty, we focus on an IRS-assisted MISO NOMA system, where the wireless channels can be effectively tuned. We optimize the beamforming vectors and the IRS phase shift matrix for minimizing transmission power. Furthermore, we propose an improved quasi-degradation condition by using IRS, which can ensure that NOMA achieves the capacity region with high possibility. For a comparison, we study zero-forcing beamforming (ZFBF) as well, where the beamforming vectors and the IRS phase shift matrix are also jointly optimized. Comparing NOMA with ZFBF, it is shown that, with the same IRS phase shift matrix and the improved quasi-degradation condition, NOMA always outperforms ZFBF. At the same time, we identify the condition under which ZFBF outperforms NOMA, which motivates the proposed hybrid NOMA transmission. Simulation results show that the proposed IRS-assisted MISO system outperforms the MISO case without IRS, and the hybrid NOMA transmission scheme always achieves better performance than orthogonal multiple access.",
author = "Jianyue Zhu and Yongming Huang and Jiaheng Wang and Keivan Navaie and Zhiguo Ding",
note = "{\textcopyright}2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ",
year = "2021",
month = feb,
day = "1",
doi = "10.1109/TCOMM.2020.3029617",
language = "English",
volume = "69",
pages = "900 -- 913",
journal = "IEEE Transactions on Communications",
issn = "0090-6778",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - Power Efficient IRS-Assisted NOMA

AU - Zhu, Jianyue

AU - Huang, Yongming

AU - Wang, Jiaheng

AU - Navaie, Keivan

AU - Ding, Zhiguo

N1 - ©2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2021/2/1

Y1 - 2021/2/1

N2 - In this paper, we propose a downlink multiple-input single-output (MISO) transmission scheme, which is assisted by an intelligent reflecting surface (IRS) consisting of a large number of passive reflecting elements. In the literature, it has been proved that nonorthogonal multiple access (NOMA) can achieve the same performance as computationally complex dirty paper coding, where the quasi-degradation condition is satisfied, conditioned on the users’ channels fall in the quasi-degradation region. However, in a conventional communication scenario, it is difficult to guarantee the quasi-degradation, because the channels are determined by the propagation environments and cannot be reconfigured. To overcome this difficulty, we focus on an IRS-assisted MISO NOMA system, where the wireless channels can be effectively tuned. We optimize the beamforming vectors and the IRS phase shift matrix for minimizing transmission power. Furthermore, we propose an improved quasi-degradation condition by using IRS, which can ensure that NOMA achieves the capacity region with high possibility. For a comparison, we study zero-forcing beamforming (ZFBF) as well, where the beamforming vectors and the IRS phase shift matrix are also jointly optimized. Comparing NOMA with ZFBF, it is shown that, with the same IRS phase shift matrix and the improved quasi-degradation condition, NOMA always outperforms ZFBF. At the same time, we identify the condition under which ZFBF outperforms NOMA, which motivates the proposed hybrid NOMA transmission. Simulation results show that the proposed IRS-assisted MISO system outperforms the MISO case without IRS, and the hybrid NOMA transmission scheme always achieves better performance than orthogonal multiple access.

AB - In this paper, we propose a downlink multiple-input single-output (MISO) transmission scheme, which is assisted by an intelligent reflecting surface (IRS) consisting of a large number of passive reflecting elements. In the literature, it has been proved that nonorthogonal multiple access (NOMA) can achieve the same performance as computationally complex dirty paper coding, where the quasi-degradation condition is satisfied, conditioned on the users’ channels fall in the quasi-degradation region. However, in a conventional communication scenario, it is difficult to guarantee the quasi-degradation, because the channels are determined by the propagation environments and cannot be reconfigured. To overcome this difficulty, we focus on an IRS-assisted MISO NOMA system, where the wireless channels can be effectively tuned. We optimize the beamforming vectors and the IRS phase shift matrix for minimizing transmission power. Furthermore, we propose an improved quasi-degradation condition by using IRS, which can ensure that NOMA achieves the capacity region with high possibility. For a comparison, we study zero-forcing beamforming (ZFBF) as well, where the beamforming vectors and the IRS phase shift matrix are also jointly optimized. Comparing NOMA with ZFBF, it is shown that, with the same IRS phase shift matrix and the improved quasi-degradation condition, NOMA always outperforms ZFBF. At the same time, we identify the condition under which ZFBF outperforms NOMA, which motivates the proposed hybrid NOMA transmission. Simulation results show that the proposed IRS-assisted MISO system outperforms the MISO case without IRS, and the hybrid NOMA transmission scheme always achieves better performance than orthogonal multiple access.

U2 - 10.1109/TCOMM.2020.3029617

DO - 10.1109/TCOMM.2020.3029617

M3 - Journal article

VL - 69

SP - 900

EP - 913

JO - IEEE Transactions on Communications

JF - IEEE Transactions on Communications

SN - 0090-6778

IS - 2

ER -