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Joint optimization of UAV aided covert edge computing via a deep reinforcement learning framework

Wei WEI Shu FU Yujie TANG Yuan WU Haijun ZHANG

中国航空学报(英文版)2025,Vol.38Issue(10):96-106,11.
中国航空学报(英文版)2025,Vol.38Issue(10):96-106,11.DOI:10.1016/j.cja.2024.08.049

Joint optimization of UAV aided covert edge computing via a deep reinforcement learning framework

Joint optimization of UAV aided covert edge computing via a deep reinforcement learning framework

Wei WEI 1Shu FU 1Yujie TANG 2Yuan WU 3Haijun ZHANG4

作者信息

  • 1. College of Microelectronics and Communication Engineering,Chongqing University,Chongqing 400044,China
  • 2. Department of Faculty of Computer Science,Dalhousie University,Halifax NS B3H 4R2,Canada
  • 3. State Key Laboratory of Internet of Things for Smart City and the Department of Computer and Information Science,University of Macau,Macau
  • 4. Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services,University of Science and Technology Beijing,Beijing 100083,China
  • 折叠

摘要

关键词

Covert communication/Unmanned aerial vehicle/Edge computing/Joint optimization/Deep reinforcement

Key words

Covert communication/Unmanned aerial vehicle/Edge computing/Joint optimization/Deep reinforcement

引用本文复制引用

Wei WEI,Shu FU,Yujie TANG,Yuan WU,Haijun ZHANG..Joint optimization of UAV aided covert edge computing via a deep reinforcement learning framework[J].中国航空学报(英文版),2025,38(10):96-106,11.

基金项目

This study was co-supported by the National Natural Science Foundation of China(No.62271093),the Natural Science Foundation of Chongqing,China(No.CSTB2023NSCQ-LZX0108)and the Chongqing Graduate Research Innovation Project,China(No.CYS23093). (No.62271093)

中国航空学报(英文版)

1000-9361

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