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

Khan, Wali Ullah and Jameel, Furqan and Jamshed, Muhammad Ali and Pervaiz, Haris and Khan, Shafiullah and Liu, Ju (2020) Efficient power allocation for NOMA-enabled IoT networks in 6G era. Physical Communication, 39: 101043. ISSN 1874-4907

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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.

Item Type:

Journal Article

Journal or Publication Title:

Physical Communication

Additional Information:

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

Uncontrolled Keywords:

/dk/atira/pure/subjectarea/asjc/2200/2208

Subjects:

?? 6ginternet of thingsnon-orthogonal multiple accessradio resource management and optimization methodselectrical and electronic engineeringgeneral physics and astronomyphysics and astronomy(all) ??

Departments:

Faculty of Science and Technology > School of Computing & Communications

ID Code:

143860

Deposited By:

ep_importer_pure

Deposited On:

11 May 2020 15:05

Refereed?:

Yes

Published?:

Published