您当前的位置：
首页 >
文章列表页 >
Underwater acoustic ISAC beamforming based on deep reinforcement learning with mixture of experts
更新时间：2026-09-18

    • Underwater acoustic ISAC beamforming based on deep reinforcement learning with mixture of experts

    • Journal on Communications   (2026)

    • DOI：10.11959/j.issn.1000-436x.TXXB260503    

      CLC： TN929.5

    • Received：21 August 2026，

      Revised：2026-09-18，

      Accepted：18 September 2026，

    移动端阅览

  • Ye Xiaowen, Lin Hengyi, Zhou Maowei, et al. Underwater acoustic ISAC beamforming based on deep reinforcement learning with mixture of experts[J/OL]. Journal on Communications, 2026. DOI： 10.11959/j.issn.1000-436x.TXXB260503.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Privacy-preserving task offloading strategy for digital twin system in satellite edge computing
Robust beamforming design for RSMA-ISAC systems oriented to multi-target sensing
Distributed adaptive intelligent offloading strategies for AIGC tasks in the Internet of agents
Key technologies for low-altitude ISAC networks resource management
Meta deep reinforcement learning-based link adaptation method for cellular networks

Related Author

Lin Bing
Tan Xiao
He Kai
Wu Huaming
Dong Ying
Jiang Zunhuan
Tang Honggang
Wang Chunyue

Related Institution

College of Physics and Energy, Fujian Normal University
Key Laboratory of Network Computing and Intelligent Information Processing in Fujian Province
Engineering Research Center for Big Data Intelligence of the Ministry of Education
Center for Applied Mathematics, Tianjin University
School of Communication Engineering, Jilin University
0