University of Oulu

V. Kumar, M. F. Hanif, M. Juntti and L. -N. Tran, "A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access," in IEEE Transactions on Vehicular Technology, vol. 72, no. 9, pp. 12332-12337, Sept. 2023, doi: 10.1109/TVT.2023.3263791.

A max-min task offloading algorithm for mobile edge computing using non-orthogonal multiple access

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Author: Kumar, Vaibhav1; Hanif, Muhammad Fainan2; Juntti, Markku3;
Organizations: 1School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland
2Institute of Electrical, Electronics and Computer Engineering, University of the Punjab, Lahore, Pakistan
3Centre for Wireless Communications, University of Oulu, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2023
Publish Date: 2023-09-12


To mitigate the computational power gap between the network core and edges, mobile edge computing (MEC) is poised to play a fundamental role in future generations of wireless networks. In this correspondence, we consider a non-orthogonal multiple access (NOMA) transmission model to maximize the worst task to be offloaded among all users to the network edge server. A provably convergent and efficient algorithm is developed to solve the considered non-convex optimization problem for maximizing the minimum number of offloaded bits in a multi-user NOMA-MEC system. Compared to the approach of optimized orthogonal multiple access (OMA), for given MEC delay, power and energy limits, the NOMA-based system considerably outperforms its OMA-based counterpart in MEC settings. Numerical results demonstrate that the proposed algorithm for NOMA-based MEC is particularly useful for delay sensitive applications.

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Series: IEEE transactions on vehicular technology
ISSN: 0018-9545
ISSN-E: 1939-9359
ISSN-L: 0018-9545
Volume: 72
Issue: 9
Pages: 12332 - 12337
DOI: 10.1109/tvt.2023.3263791
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: Academy of Finland under 6G Flagship (Grant Number: 346208)
Academy of Finland Grant Number: 346208
Detailed Information: 346208 (Academy of Finland Funding decision)
Copyright information: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see