Dynamic joint resource allocation in maritime wireless communication networks: a meta-reinforcement learning approach based on knowledge embedding

Zhongyang MAO; Zhilin ZHANG; Faping LU; Xiguo LIU; Zhichao XU; Yaozong PAN; Jiafang KANG; Yang YOU

doi:10.1631/FITEE.2500007

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Dynamic joint resource allocation in maritime wireless communication networks: a meta-reinforcement learning approach based on knowledge embedding

Regular Papers | Updated：2026-01-12

- Dynamic joint resource allocation in maritime wireless communication networks: a meta-reinforcement learning approach based on knowledge embedding
  Enhanced Publication
- 海上无线通信网络的动态联合资源分配：一种基于知识嵌入的元强化学习方法
- “In the field of maritime communication, a joint resource allocation method based on knowledge embedding has been introduced. Expert xx established the action distribution alignment module, which improves resource utilization and reduces the sample size required for model training. This lays a foundation for the construction of a high-quality and ubiquitous maritime communication system.”
- ENGINEERING Information Technology & Electronic Engineering Vol. 26, Issue 12, Pages: 2672-2687(2025)
- Affiliations：
  
  1.Naval Aviation University, Yantai 264001, China
  2.Shandong Key Laboratory of Sea and Air Information Perception and Processing Technology, Yantai 264001, China
  3.PLA 91001 Unit, Beijing 100000, China
- Author bio：
  
  E-mail: freedom_mzy@163.com
  ‡ Corresponding author
- Funds：
- DOI：10.1631/FITEE.2500007
  CLC： TN92
- Received：03 January 2025，
  
  Revised：2025-05-28，
  
  Published：2025-12
- Accepted：
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Zhongyang MAO, Zhilin ZHANG, Faping LU, et al. Dynamic joint resource allocation in maritime wireless communication networks: a meta-reinforcement learning approach based on knowledge embedding[J]. ENGINEERING Information Technology & Electronic Engineering, 2025, 26(12): 2672-2687.
DOI：

Zhongyang MAO, Zhilin ZHANG, Faping LU, et al. Dynamic joint resource allocation in maritime wireless communication networks: a meta-reinforcement learning approach based on knowledge embedding[J]. ENGINEERING Information Technology & Electronic Engineering, 2025, 26(12): 2672-2687. DOI： 10.1631/FITEE.2500007.

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Dynamic joint resource allocation in maritime wireless communication networks: a meta-reinforcement learning approach based on knowledge embedding

DOI：10.1631/FITEE.2500007