Delay Minimization for NOMA-MEC Offloading

Ding, Zhiguo; Ng, Derrick Wing Kwan; Schober, Robert; Poor, H. Vincent

doi:10.1109/lsp.2018.2876019

Cited by 190IoT and Edge/Fog ComputingAdvanced Wireless Communication TechnologiesAge of Information Optimization

Delay Minimization for NOMA-MEC Offloading

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Ding, Zhiguo, Ng, Derrick Wing Kwan, Schober, Robert, Poor, H. Vincent·2018·IEEE Signal Processing Letters

DOI 10.1109/lsp.2018.2876019

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Abstract

This letter considers the minimization of the offloading delay for nonorthogonal multiple access assisted mobile edge computing (NOMA-MEC). By transforming the delay minimization problem into a form of fractional programming, two iterative algorithms based on, respectively, Dinkelbach's method and Newton's method are proposed. The optimality of both methods is proved and their convergence is compared. Furthermore, criteria for choosing between three possible modes, namely orthogonal multiple access, pure NOMA, and hybrid NOMA, for MEC offloading are established.

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ML methods have been thoroughly reviewed for cognitive radios.
“Therefore, ML methods have thoroughly been reviewed for cognitive radios, see e.g., [235].”
From Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future (2019) · cites this paper as [235]

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Authors: Ding, Z., Ng, D. W. K., Schober, R., & Poor, H. V.
Affiliations: University of Manchester (GB)
UNSW Sydney (AU)
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
Princeton University (US)
ORCID: Ding, Zhiguo
Ng, Derrick Wing Kwan
Schober, Robert
Poor, H. Vincent
Venue: IEEE Signal Processing Letters
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2018-12
Volume: 25
Issue: 12
Pages: 1875-1879
ISSN: 1070-9908 (ISSN-L)
1558-2361
DOI: 10.1109/lsp.2018.2876019
OpenAlex: W2886323124
Cited by: 189
References: 9
Citations by year: 2026: 4 · 2025: 11 · 2024: 25 · 2023: 18 · 2022: 28 · 2021: 30 · 2020: 43 · 2019: 28 · 2018: 2
FWCI: 15.95
Type: journal article
Language: en
Open access: green
arxiv.org
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Signal Processing Letters (publishedVersion)
arXiv (Cornell University) (submittedVersion)
Research Explorer (The University of Manchester) (submittedVersion)
arXiv (Cornell University)
Funders: UK EPSRC (EP/L025272/2, EC-H2020, 690750)
Australian Research Councils Discovery Early Career Researcher Award (DE170100137)
U.S. National Science Foundation (CNS-1702808)
Topics: Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
Physical Sciences › Computer Science › Computer Networks and Communications › Age of Information Optimization
Keywords: non-orthogonal multiple access, mobile edge computing, computation offloading, fractional programming, Dinkelbach method, Newton's method, convergence analysis, orthogonal multiple access, hybrid NOMA, mode choice

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