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Volume 15
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10.3390/computers15060344
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

DUCTM: An Online Resource Allocation Algorithm for Throughput Maximization in Cooperative NOMA-Enabled WPT-MEC Networks

by
Huaiwen He
1,
Miaoling Liu
1,
Chenghao Zhou
1,2,
Hong Shen
3,
Hui Tian
4 and
Shuqing Huang
5,*
1
School of Computer, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528400, China
2
Computer Science and Engineering School, University of Electronic Science and Technology of China, Chengdu 611731, China
3
School of Engineering and Technology, Central Queensland University, Rockhampton 4701, Australia
4
The School of Information and Communication Technology, Griffith University, Brisbane 4111, Australia
5
School of Green Building and Low-carbon Technology, Guangxi Technological College of Machinery and Electricity, Nanning 530007, China
*
Author to whom correspondence should be addressed.
Computers 2026, 15(6), 344; https://doi.org/10.3390/computers15060344
Submission received: 23 April 2026 / Revised: 23 May 2026 / Accepted: 25 May 2026 / Published: 27 May 2026
(This article belongs to the Section Internet of Things (IoT) and Industrial IoT)
Versions Notes

Abstract

This paper addresses the problem of throughput utility maximization in a non-orthogonal multiple access (NOMA)-enabled wireless power transfer mobile edge computing (WPT-MEC) network with dynamic task arrivals and user cooperation. To promote fairness and effectively handle random task arrivals and time-varying channels, we model the system utility as a nonlinear function of time-averaged throughput. We then formulate a stochastic optimization problem aimed at maximizing utility while strictly maintaining sensor queue stability. By leveraging the Lyapunov optimization framework, the long-term network-wide utility maximization is decomposed into efficient, slot-wise convex subproblems that operate online without requiring prior knowledge of future task arrivals or channel states. We develop a Dynamic User Cooperation Throughput Maximization (DUCTM) algorithm that enables adaptive resource allocation and cooperative computation offloading in an online manner. Theoretical analysis establishes a provable [O(1/V),O(V)] trade-off between utility optimality and queue backlog. Extensive simulations demonstrate that our approach consistently outperforms baseline methods, providing robust and stable performance even under bursty traffic and highly dynamic environmental conditions.
Keywords: mobile edge computation (MEC); user cooperation; wireless power transfer (WPT); NOMA communication; Lyapunov optimization mobile edge computation (MEC); user cooperation; wireless power transfer (WPT); NOMA communication; Lyapunov optimization

Share and Cite

MDPI and ACS Style

He, H.; Liu, M.; Zhou, C.; Shen, H.; Tian, H.; Huang, S. DUCTM: An Online Resource Allocation Algorithm for Throughput Maximization in Cooperative NOMA-Enabled WPT-MEC Networks. Computers 2026, 15, 344. https://doi.org/10.3390/computers15060344

AMA Style

He H, Liu M, Zhou C, Shen H, Tian H, Huang S. DUCTM: An Online Resource Allocation Algorithm for Throughput Maximization in Cooperative NOMA-Enabled WPT-MEC Networks. Computers. 2026; 15(6):344. https://doi.org/10.3390/computers15060344

Chicago/Turabian Style

He, Huaiwen, Miaoling Liu, Chenghao Zhou, Hong Shen, Hui Tian, and Shuqing Huang. 2026. "DUCTM: An Online Resource Allocation Algorithm for Throughput Maximization in Cooperative NOMA-Enabled WPT-MEC Networks" Computers 15, no. 6: 344. https://doi.org/10.3390/computers15060344

APA Style

He, H., Liu, M., Zhou, C., Shen, H., Tian, H., & Huang, S. (2026). DUCTM: An Online Resource Allocation Algorithm for Throughput Maximization in Cooperative NOMA-Enabled WPT-MEC Networks. Computers, 15(6), 344. https://doi.org/10.3390/computers15060344

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