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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Available under license: CC BY-NC-ND
Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
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 -