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Dynamic Service Caching Strategy for Mobile Edge Computing to Aid Offshore Communications
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Yingyu ZHUANG, Chunyu PAN, Xuehua LI
Telecommunication Engineering | 2025, 65(11) : 1754 - 1765
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Telecommunication Engineering | 2025, 65(11): 1754-1765
• Application Fundamental Research and Advanced Technology •
Dynamic Service Caching Strategy for Mobile Edge Computing to Aid Offshore Communications
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Yingyu ZHUANG, Chunyu PAN, Xuehua LI
Affiliations
  • Key Laboratory of Modern Measurement & Control Technology，Ministry of Information Industry，Beijing Information Science and Technology University，Beijing 100101，China
Published: 2025-11-28 doi: 10.20079/j.issn.1001-893x.240618004
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In order to achieve low-latency and low-energy offshore communication, the dynamic service cache update mechanism is introduced into the complex neural network, and the mobile edge dynamic service caching policy (MEDSCP ) based on double deep Q network (DDQN ) is proposed by cleverly designing the complex neural network structure based on offshore communication scenarios. The policy firstly obtains the optimal offloading decision set through the user terminal task offloading decision game, and then utilizes mobile edge computing(MEC) and dynamic service caching update to reduce the delay and energy cost of task execution in the offshore communication environment, aiming to improve the efficiency of task processing in offshore communication and to expand the development potential of this industry. Simulation experimental results show that the proposed MEDSCP strategy can achieve fast convergence of the algorithm while guaranteeing the training effect,and also effectively reduce the delay-energy weighted sum of offshore communications compared with existing work.

offshore communication  /  deep reinforcement learning  /  mobile edge computing  /  game theory  /  dynamic cache
Yingyu ZHUANG, Chunyu PAN, Xuehua LI. Dynamic Service Caching Strategy for Mobile Edge Computing to Aid Offshore Communications[J]. Telecommunication Engineering, 2025 , 65 (11) : 1754 -1765 . DOI: 10.20079/j.issn.1001-893x.240618004
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Year 2025 volume 65 Issue 11
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doi: 10.20079/j.issn.1001-893x.240618004
  • Receive Date：2024-06-18
  • Online Date：2026-04-15
  • Published：2025-11-28
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  • Received：2024-06-18
  • Revised：2024-11-08
Affiliations
    Key Laboratory of Modern Measurement & Control Technology，Ministry of Information Industry，Beijing Information Science and Technology University，Beijing 100101，China
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