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  • EE-for-NOMA

    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

    Accepted author manuscript, 421 KB, PDF document

    Embargo ends: 20/02/21

    Available under license: CC BY-NC-ND

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

Research output: Contribution to journalJournal article

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  • Wali Ullah Khan
  • Furqan Jameel
  • Muhammad Ali Jamshed
  • Haris Pervaiz
  • Shafiullah Khan
  • Ju Liu
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Article number101043
<mark>Journal publication date</mark>1/04/2020
<mark>Journal</mark>Physical Communication
Volume39
Number of pages10
Publication statusPublished
Early online date20/02/20
Original languageEnglish

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.

Bibliographic note

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