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Energy-efficient computation offloading in wireless-powered mobile edge computing
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Hong TANG1, 2, Jiayu DAI1, 2, Wenzhuo ZHAO1, 2, Chen FENG1, 2
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition) | 2025, 37(5) : 647 - 657
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Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition) | 2025, 37(5): 647-657
• New-Generation Mobile Communication •
Energy-efficient computation offloading in wireless-powered mobile edge computing
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Hong TANG1, 2, Jiayu DAI1, 2, Wenzhuo ZHAO1, 2, Chen FENG1, 2
Affiliations
  • 1School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China
  • 2Chongqing Key Lab of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China
doi: 10.3979/j.issn.1673-825X.202406210152
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The integration of mobile edge computing（MEC）and wireless power transfer（WPT）can effectively alleviate the constraints of limited computing resources and battery capacity in wireless devices. To address the dynamic energy-efficient offloading problem in wireless-powered MEC systems under a nonlinear energy harvesting model, this paper proposes an energy consumption optimization algorithm based on Lyapunov optimization theory. By jointly optimizing the server's computing frequency, the energy station's transmit power, task offloading time, device transmit power, and local computing frequency, the algorithm minimizes the system's long-term average energy consumption while ensuring system stability. The stochastic optimization problem is transformed into a time-slot-based deterministic subproblem using Lyapunov optimization and solved through the Lagrange multiplier method and an improved whale optimization algorithm. Simulation results show that, compared with benchmark schemes, the proposed offloading strategy significantly reduces system energy consumption while maintaining long-term task queue stability.

mobile edge computing  /  wireless power transfer  /  Lyapunov optimization  /  computation offloading
Hong TANG, Jiayu DAI, Wenzhuo ZHAO, Chen FENG. Energy-efficient computation offloading in wireless-powered mobile edge computing[J]. Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition), 2025 , 37 (5) : 647 -657 . DOI: 10.3979/j.issn.1673-825X.202406210152
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Year 2025 volume 37 Issue 5
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Article Info
doi: 10.3979/j.issn.1673-825X.202406210152
  • Receive Date：2024-06-21
  • Online Date：2026-04-16
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  • Received：2024-06-21
  • Revised：2025-09-20
Affiliations
    1School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China
    2Chongqing Key Lab of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China
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