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Throughput analysis and user barring design for uplink NOMA-enabled random access

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Throughput analysis and user barring design for uplink NOMA-enabled random access. / Yu, Wenjuan; Foh, Chuan Heng; Ul Quddus, Atta; Liu, Yuanwei; Tafazolli, Rahim.

In: IEEE Transactions on Wireless Communications, 03.04.2021.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Yu, W, Foh, CH, Ul Quddus, A, Liu, Y & Tafazolli, R 2021, 'Throughput analysis and user barring design for uplink NOMA-enabled random access', IEEE Transactions on Wireless Communications. https://doi.org/10.1109/TWC.2021.3073326

APA

Yu, W., Foh, C. H., Ul Quddus, A., Liu, Y., & Tafazolli, R. (Accepted/In press). Throughput analysis and user barring design for uplink NOMA-enabled random access. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/TWC.2021.3073326

Vancouver

Yu W, Foh CH, Ul Quddus A, Liu Y, Tafazolli R. Throughput analysis and user barring design for uplink NOMA-enabled random access. IEEE Transactions on Wireless Communications. 2021 Apr 3. https://doi.org/10.1109/TWC.2021.3073326

Author

Yu, Wenjuan ; Foh, Chuan Heng ; Ul Quddus, Atta ; Liu, Yuanwei ; Tafazolli, Rahim. / Throughput analysis and user barring design for uplink NOMA-enabled random access. In: IEEE Transactions on Wireless Communications. 2021.

Bibtex

@article{11bed7047c0644598d8c5a20481c71b5,
title = "Throughput analysis and user barring design for uplink NOMA-enabled random access",
abstract = "Being able to accommodate multiple simultaneous transmissions on a single channel, non-orthogonal multiple access (NOMA) appears as an attractive solution to support massive machine type communication (mMTC) that faces a massive number of devices competing to access the limited number of shared radio resources. In this paper, we first analytically study the throughput performance of NOMA-based random access (RA), namely NOMA-RA. We show that while increasing the number of power levels in NOMA-RA leads to a further gain in maximum throughput, the growth of throughput gain is slower than linear. This is due to the higher-power dominance characteristic in power-domain NOMA known in the literature. We explicitly quantify the throughput gain for the very first time in this paper. With our analytical model, we verify the performance advantage of NOMA-RA scheme by comparing with the baseline multi-channel slotted ALOHA (MS-ALOHA), with and without capture effect. Despite the higher-power dominance effect, the maximum throughput of NOMA-RA with four power levels achieves over three times that of the MS-ALOHA. However, our analytical results also reveal the sensitivity of load on the throughput of NOMA-RA. To cope with the potential bursty traffic in mMTC scenarios, we propose adaptive load regulation through a practical user barring algorithm. By estimating the current load based on the observable channel feedback, the algorithm adaptively controls user access to maintain the optimal loading of channels to achieve maximum throughput. When the proposed user barring algorithm is applied, simulations demonstrate that the instantaneous throughput of NOMA-RA always remains close to the maximum throughput confirming the effectiveness of our load regulation.",
author = "Wenjuan Yu and Foh, {Chuan Heng} and {Ul Quddus}, Atta and Yuanwei Liu and Rahim Tafazolli",
note = "{\textcopyright}2021 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 = apr,
day = "3",
doi = "10.1109/TWC.2021.3073326",
language = "English",
journal = "IEEE Transactions on Wireless Communications",
issn = "1536-1276",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - Throughput analysis and user barring design for uplink NOMA-enabled random access

AU - Yu, Wenjuan

AU - Foh, Chuan Heng

AU - Ul Quddus, Atta

AU - Liu, Yuanwei

AU - Tafazolli, Rahim

N1 - ©2021 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 - 2021/4/3

Y1 - 2021/4/3

N2 - Being able to accommodate multiple simultaneous transmissions on a single channel, non-orthogonal multiple access (NOMA) appears as an attractive solution to support massive machine type communication (mMTC) that faces a massive number of devices competing to access the limited number of shared radio resources. In this paper, we first analytically study the throughput performance of NOMA-based random access (RA), namely NOMA-RA. We show that while increasing the number of power levels in NOMA-RA leads to a further gain in maximum throughput, the growth of throughput gain is slower than linear. This is due to the higher-power dominance characteristic in power-domain NOMA known in the literature. We explicitly quantify the throughput gain for the very first time in this paper. With our analytical model, we verify the performance advantage of NOMA-RA scheme by comparing with the baseline multi-channel slotted ALOHA (MS-ALOHA), with and without capture effect. Despite the higher-power dominance effect, the maximum throughput of NOMA-RA with four power levels achieves over three times that of the MS-ALOHA. However, our analytical results also reveal the sensitivity of load on the throughput of NOMA-RA. To cope with the potential bursty traffic in mMTC scenarios, we propose adaptive load regulation through a practical user barring algorithm. By estimating the current load based on the observable channel feedback, the algorithm adaptively controls user access to maintain the optimal loading of channels to achieve maximum throughput. When the proposed user barring algorithm is applied, simulations demonstrate that the instantaneous throughput of NOMA-RA always remains close to the maximum throughput confirming the effectiveness of our load regulation.

AB - Being able to accommodate multiple simultaneous transmissions on a single channel, non-orthogonal multiple access (NOMA) appears as an attractive solution to support massive machine type communication (mMTC) that faces a massive number of devices competing to access the limited number of shared radio resources. In this paper, we first analytically study the throughput performance of NOMA-based random access (RA), namely NOMA-RA. We show that while increasing the number of power levels in NOMA-RA leads to a further gain in maximum throughput, the growth of throughput gain is slower than linear. This is due to the higher-power dominance characteristic in power-domain NOMA known in the literature. We explicitly quantify the throughput gain for the very first time in this paper. With our analytical model, we verify the performance advantage of NOMA-RA scheme by comparing with the baseline multi-channel slotted ALOHA (MS-ALOHA), with and without capture effect. Despite the higher-power dominance effect, the maximum throughput of NOMA-RA with four power levels achieves over three times that of the MS-ALOHA. However, our analytical results also reveal the sensitivity of load on the throughput of NOMA-RA. To cope with the potential bursty traffic in mMTC scenarios, we propose adaptive load regulation through a practical user barring algorithm. By estimating the current load based on the observable channel feedback, the algorithm adaptively controls user access to maintain the optimal loading of channels to achieve maximum throughput. When the proposed user barring algorithm is applied, simulations demonstrate that the instantaneous throughput of NOMA-RA always remains close to the maximum throughput confirming the effectiveness of our load regulation.

U2 - 10.1109/TWC.2021.3073326

DO - 10.1109/TWC.2021.3073326

M3 - Journal article

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

ER -