您当前的位置:
首页 >
文章列表页 >
Meta deep reinforcement learning-based link adaptation method for cellular networks
Correspondences | 更新时间:2026-07-01
    • Meta deep reinforcement learning-based link adaptation method for cellular networks

    • Journal on Communications   Vol. 47, Issue 5, Pages: 282-292(2026)
    • DOI:10.11959/j.issn.1000-436x.TXXB260066    

      CLC: TN929.5
    • Received:28 January 2026

      Revised:2026-04-02

      Accepted:02 April 2026

      Published:25 May 2026

    移动端阅览

  • Ye Xiaowen,Lin Hengyi,Wu Yi.Meta deep reinforcement learning-based link adaptation method for cellular networks[J].Journal on Communications,2026,47(05):282-292. DOI: 10.11959/j.issn.1000-436x.TXXB260066.

  •  
  •  

0

Views

77

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

GAT-based decision mechanism for decentralized joint routing and spectrum access
Multi-cluster computing power resource scheduling algorithm based on DDPG reinforcement learning
Task offloading and resource allocation strategy for vehicular edge computing assisted by intelligent reflecting surfaces
D3QN-based collaborative offloading algorithm for vehicular networks assisted by digital twins
Integration of 6G immersive communications and AI-native networks: vision, key technologies, and challenges

Related Author

Zhou Zibo
Ren Baoquan
Zhong Xudong
Liu Qi
Qin Zhen
HU Yahui
WANG Yuelin
ZHANG Chenkang

Related Institution

Systems Engineering Institute, Academy of Military Science
Air Force Early Warning Academy
School of Artificial Intelligence, China University of Mining and Technology-Beijing
Computer Network information Center, Chinese Academy of Sciences
CHN Energy Zhi Shen Control Technology Co., Ltd.
0