UAV Communication Against Intelligent Jamming: A Stackelberg Game Approach with Federated Reinforcement Learning

被引：0

作者：

Yin, Ziyan ^{[1
]}

Li, Jun ^{[1
]}

Wang, Zhe ^{[2
]}

Qian, Yuwen ^{[1
]}

Lin, Yan ^{[1
]}

Shu, Feng ^{[3
]}

Chen, Wen ^{[4
]}

机构：

[1] Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Nanjing,210094, China

[2] Nanjing University of Science and Technology, School of Computer Science and Engineering, Nanjing,210094, China

[3] Hainan University, School of Information and Communication Engineering, Haikou,570228, China

[4] Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai,200240, China

来源：

IEEE Transactions on Green Communications and Networking | 2024年 / 8卷 / 04期

关键词：

Engineering Village;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Aerial vehicle - Anti-jamming - Federated reinforcement learning - Game - Jamming - Receiver - Reinforcement learnings - Resources allocation - Stackelberg Games - Stochastic stackelberg game - Stochastics - Unmanned aerial vehicle

引用

页码：1796 / 1808

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