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    Rights statement: This is the author’s version of a work that was accepted for publication in Physical Communication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Physical Communication, ?, ?, 2020 DOI: 10.1016/j.phycom.2020.101043

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Efficient power allocation for NOMA-enabled IoT networks in 6G era

Research output: Contribution to journalJournal articlepeer-review

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Efficient power allocation for NOMA-enabled IoT networks in 6G era. / Khan, Wali Ullah; Jameel, Furqan; Jamshed, Muhammad Ali; Pervaiz, Haris; Khan, Shafiullah; Liu, Ju.

In: Physical Communication, Vol. 39, 101043, 01.04.2020.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Khan, WU, Jameel, F, Jamshed, MA, Pervaiz, H, Khan, S & Liu, J 2020, 'Efficient power allocation for NOMA-enabled IoT networks in 6G era', Physical Communication, vol. 39, 101043. https://doi.org/10.1016/j.phycom.2020.101043

APA

Khan, W. U., Jameel, F., Jamshed, M. A., Pervaiz, H., Khan, S., & Liu, J. (2020). Efficient power allocation for NOMA-enabled IoT networks in 6G era. Physical Communication, 39, [101043]. https://doi.org/10.1016/j.phycom.2020.101043

Vancouver

Khan WU, Jameel F, Jamshed MA, Pervaiz H, Khan S, Liu J. Efficient power allocation for NOMA-enabled IoT networks in 6G era. Physical Communication. 2020 Apr 1;39. 101043. https://doi.org/10.1016/j.phycom.2020.101043

Author

Khan, Wali Ullah ; Jameel, Furqan ; Jamshed, Muhammad Ali ; Pervaiz, Haris ; Khan, Shafiullah ; Liu, Ju. / Efficient power allocation for NOMA-enabled IoT networks in 6G era. In: Physical Communication. 2020 ; Vol. 39.

Bibtex

@article{025eebaffffd44c89eb94fd059c69e9f,
title = "Efficient power allocation for NOMA-enabled IoT networks in 6G era",
abstract = "Due to unrivaled effectiveness, non-orthogonal multiple access (NOMA) has risen as a promising multiple access scheme for the Internet of things (IoT). In this paper, we provide a new power allocation technique for improving the energy and spectral efficiency of NOMA-enabled IoT devices. The power allocation is performed without compromising the quality of service (QoS) requirements of the network. By considering the transmit power, QoS and successive interference cancellation (SIC) constraints, we use the sequential quadratic programming (SQP) technique to solve the non-convex problem. To assess the performance of our scheme, we compare the proposed SQP-based approach with the conventional KKT-based optimization method. We provide Monte Carlo simulation results to assess our proposed power allocation framework and illustrate the performance improvements against orthogonal multiple access (OMA) scheme. The results uncover that the proposed SQP-based power optimization design substantially improves the performance of the NOMA-enabled IoT network.",
keywords = "6G, Internet of things, Non-orthogonal multiple access, Radio resource management and optimization methods",
author = "Khan, {Wali Ullah} and Furqan Jameel and Jamshed, {Muhammad Ali} and Haris Pervaiz and Shafiullah Khan and Ju Liu",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Physical Communication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Physical Communication, ?, ?, 2020 DOI: 10.1016/j.phycom.2020.101043",
year = "2020",
month = apr,
day = "1",
doi = "10.1016/j.phycom.2020.101043",
language = "English",
volume = "39",
journal = "Physical Communication",
issn = "1874-4907",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Efficient power allocation for NOMA-enabled IoT networks in 6G era

AU - Khan, Wali Ullah

AU - Jameel, Furqan

AU - Jamshed, Muhammad Ali

AU - Pervaiz, Haris

AU - Khan, Shafiullah

AU - Liu, Ju

N1 - This is the author’s version of a work that was accepted for publication in Physical Communication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Physical Communication, ?, ?, 2020 DOI: 10.1016/j.phycom.2020.101043

PY - 2020/4/1

Y1 - 2020/4/1

N2 - Due to unrivaled effectiveness, non-orthogonal multiple access (NOMA) has risen as a promising multiple access scheme for the Internet of things (IoT). In this paper, we provide a new power allocation technique for improving the energy and spectral efficiency of NOMA-enabled IoT devices. The power allocation is performed without compromising the quality of service (QoS) requirements of the network. By considering the transmit power, QoS and successive interference cancellation (SIC) constraints, we use the sequential quadratic programming (SQP) technique to solve the non-convex problem. To assess the performance of our scheme, we compare the proposed SQP-based approach with the conventional KKT-based optimization method. We provide Monte Carlo simulation results to assess our proposed power allocation framework and illustrate the performance improvements against orthogonal multiple access (OMA) scheme. The results uncover that the proposed SQP-based power optimization design substantially improves the performance of the NOMA-enabled IoT network.

AB - Due to unrivaled effectiveness, non-orthogonal multiple access (NOMA) has risen as a promising multiple access scheme for the Internet of things (IoT). In this paper, we provide a new power allocation technique for improving the energy and spectral efficiency of NOMA-enabled IoT devices. The power allocation is performed without compromising the quality of service (QoS) requirements of the network. By considering the transmit power, QoS and successive interference cancellation (SIC) constraints, we use the sequential quadratic programming (SQP) technique to solve the non-convex problem. To assess the performance of our scheme, we compare the proposed SQP-based approach with the conventional KKT-based optimization method. We provide Monte Carlo simulation results to assess our proposed power allocation framework and illustrate the performance improvements against orthogonal multiple access (OMA) scheme. The results uncover that the proposed SQP-based power optimization design substantially improves the performance of the NOMA-enabled IoT network.

KW - 6G

KW - Internet of things

KW - Non-orthogonal multiple access

KW - Radio resource management and optimization methods

U2 - 10.1016/j.phycom.2020.101043

DO - 10.1016/j.phycom.2020.101043

M3 - Journal article

AN - SCOPUS:85079907534

VL - 39

JO - Physical Communication

JF - Physical Communication

SN - 1874-4907

M1 - 101043

ER -