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Low-Latency Driven Performance Analysis for Single-Cluster NOMA Networks

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Low-Latency Driven Performance Analysis for Single-Cluster NOMA Networks. / Song, Zhengyu; Yu, Wenjuan; Xiao, Lixia; Musavian, Leila; Ni, Qiang; Sun, Xin.

2021 IEEE Global Communications Conference (GLOBECOM). IEEE, 2022.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Song, Z, Yu, W, Xiao, L, Musavian, L, Ni, Q & Sun, X 2022, Low-Latency Driven Performance Analysis for Single-Cluster NOMA Networks. in 2021 IEEE Global Communications Conference (GLOBECOM). IEEE, 2021 IEEE Global Communications Conference, Madrid, Spain, 7/12/21. https://doi.org/10.1109/GLOBECOM46510.2021.9685490

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Author

Song, Zhengyu ; Yu, Wenjuan ; Xiao, Lixia ; Musavian, Leila ; Ni, Qiang ; Sun, Xin. / Low-Latency Driven Performance Analysis for Single-Cluster NOMA Networks. 2021 IEEE Global Communications Conference (GLOBECOM). IEEE, 2022.

Bibtex

@inproceedings{9961131392ca4eec880d36aee3ae2ba2,
title = "Low-Latency Driven Performance Analysis for Single-Cluster NOMA Networks",
abstract = "In this paper, we study the total effective capacity (EC) of single-cluster non-orthogonal multiple access (NOMA) networks and demonstrate the performance gain of single-cluster NOMA over user-paired NOMA and orthogonal multiple access (OMA). Specifically, the exact closed-form expression and an approximate closed-form expression at high signal-to-noise ratios (SNRs), in terms of the total EC, are derived for single-cluster NOMA networks. The derivations reveal that the total EC at high SNRs only relies on the statistical delay requirement of the strongest user and is independent of the other users' delay requirements. Further, we theoretically analyze the total EC differences between single-cluster NOMA and user-paired NOMA/OMA communications and explore the impact of transmit SNR. Simulation results verify the accuracy of analytical results and further reveal that the single-cluster NOMA network achieves a greater gain in terms of the total EC, compared to the conventional OMA, when the number of users increases.",
author = "Zhengyu Song and Wenjuan Yu and Lixia Xiao and Leila Musavian and Qiang Ni and Xin Sun",
note = "{\textcopyright}2022 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.; 2021 IEEE Global Communications Conference : Selected Areas in Communications: Social Networks, Globecom2021 SAC SN ; Conference date: 07-12-2021 Through 11-12-2021",
year = "2022",
month = feb,
day = "2",
doi = "10.1109/GLOBECOM46510.2021.9685490",
language = "English",
isbn = "9781728181059",
booktitle = "2021 IEEE Global Communications Conference (GLOBECOM)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Low-Latency Driven Performance Analysis for Single-Cluster NOMA Networks

AU - Song, Zhengyu

AU - Yu, Wenjuan

AU - Xiao, Lixia

AU - Musavian, Leila

AU - Ni, Qiang

AU - Sun, Xin

N1 - ©2022 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 - 2022/2/2

Y1 - 2022/2/2

N2 - In this paper, we study the total effective capacity (EC) of single-cluster non-orthogonal multiple access (NOMA) networks and demonstrate the performance gain of single-cluster NOMA over user-paired NOMA and orthogonal multiple access (OMA). Specifically, the exact closed-form expression and an approximate closed-form expression at high signal-to-noise ratios (SNRs), in terms of the total EC, are derived for single-cluster NOMA networks. The derivations reveal that the total EC at high SNRs only relies on the statistical delay requirement of the strongest user and is independent of the other users' delay requirements. Further, we theoretically analyze the total EC differences between single-cluster NOMA and user-paired NOMA/OMA communications and explore the impact of transmit SNR. Simulation results verify the accuracy of analytical results and further reveal that the single-cluster NOMA network achieves a greater gain in terms of the total EC, compared to the conventional OMA, when the number of users increases.

AB - In this paper, we study the total effective capacity (EC) of single-cluster non-orthogonal multiple access (NOMA) networks and demonstrate the performance gain of single-cluster NOMA over user-paired NOMA and orthogonal multiple access (OMA). Specifically, the exact closed-form expression and an approximate closed-form expression at high signal-to-noise ratios (SNRs), in terms of the total EC, are derived for single-cluster NOMA networks. The derivations reveal that the total EC at high SNRs only relies on the statistical delay requirement of the strongest user and is independent of the other users' delay requirements. Further, we theoretically analyze the total EC differences between single-cluster NOMA and user-paired NOMA/OMA communications and explore the impact of transmit SNR. Simulation results verify the accuracy of analytical results and further reveal that the single-cluster NOMA network achieves a greater gain in terms of the total EC, compared to the conventional OMA, when the number of users increases.

U2 - 10.1109/GLOBECOM46510.2021.9685490

DO - 10.1109/GLOBECOM46510.2021.9685490

M3 - Conference contribution/Paper

SN - 9781728181059

BT - 2021 IEEE Global Communications Conference (GLOBECOM)

PB - IEEE

T2 - 2021 IEEE Global Communications Conference

Y2 - 7 December 2021 through 11 December 2021

ER -