您当前的位置：
首页 >
文章列表页 >
Service migration optimization method for intelligent connected vehicles based on multi-agent deep reinforcement learning
Papers | 更新时间：2026-02-10

    • Service migration optimization method for intelligent connected vehicles based on multi-agent deep reinforcement learning

    • Journal on Communications   Vol. 47, Issue 1, Pages: 141-155(2026)

    • DOI：10.11959/j.issn.1000-436x.2026005    

      CLC： TP393

    • Received：12 November 2025，

      Revised：2025-12-31，

      Accepted：04 January 2026，

      Published：25 January 2026

    移动端阅览

  • Rui Lanlan,Deng Shuyu,Chen Zixuan,et al.Service migration optimization method for intelligent connected vehicles based on multi-agent deep reinforcement learning[J].Journal on Communications,2026,47(01):141-155. DOI： 10.11959/j.issn.1000-436x.2026005.

  •  
  •  

0

Views

314

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

Two-timescale online service migration method in mobile edge computing scenarios
Service migration optimization method for resource competition in mobile edge computing scenarios
Joint power and spectrum optimization algorithm for ICV in diverse service scenarios
Efficient conditional privacy-preserving authenticated key agreement scheme for mobile edge computing

Related Author

WANG Haiyan
ZHANG Jiahao
LUO Jian
WANG Haiyan
ZHANG Lin
LUO Jian
Zhang Haibo
Hu Yuting

Related Institution

School of Computer Science, Nanjing University of Post and Telecommunications
Jiangsu Key Laboratory of Big Data Security & Intelligent Processing
School of Computer Science, Nanjing University of Posts and Telecommunications
Jiangsu Key Laboratory of Big Data Security & Intelligent Processing
School of Automation, Chongqing University of Posts and Telecommunications
0