7 citations · 10 across the 7 of their papers we have counts for
7 papers
UAV Trajectory and Bandwidth Allocation for Efficient Data Collection in Low-Altitude Intelligent IoT: A Hierarchical DRL Approach
Zhenjia Xu, Xiaoling Zhang, Nan Qi +3
The low-altitude Internet of Things (IoT), supported by unmanned aerial vehicles (UAVs), provides ground sensing networks with advanced real-time monitoring and data collection. To…
Game-theoretic Learning Anti-jamming Approaches in Wireless Networks
Luliang Jia, Nan Qi, Feihuang Chu +4
In this article, the anti-jamming communication problem is investigated from a game-theoretic learning perspective. By exploring and analyzing intelligent anti-jamming communicatio…
Cooperative Anti-Jamming for UAV Networks: A Local Altruistic Game Approach
Yueyue Su, Nan Qi, Zanqi Huang +2
To improve the anti-jamming ability of the UAV-aided communication systems, this paper investigates the channel selection optimization problem in face of both internal mutual inter…
A Game-Theoretic Learning Framework for Multi-Agent Intelligent Wireless Networks
Ximing Wang, Jinlong Wang, Jin Chen +5
In this article, we introduce a game-theoretic learning framework for the multi-agent wireless network. By combining learning in artificial intelligence (AI) with game theory, seve…
A Collaborative Multi-agent Reinforcement Learning Anti-jamming Algorithm in Wireless Networks
Fuqiang Yao, Luliang Jia
In this letter, we investigate the anti-jamming defense problem in multi-user scenarios, where the coordination among users is taken into consideration. The Markov game framework i…
Stackelberg Game Approaches for Anti-jamming Defence in Wireless Networks
Luliang Jia, Yuhua Xu, Youming Sun +2
This article investigates the anti-jamming communications problem in wireless networks from a Stackelberg game perspective. By exploring and analyzing the inherent characteristics…
Anti-jamming Communications Using Spectrum Waterfall: A Deep Reinforcement Learning Approach
Xin Liu, Yuhua Xu, Luliang Jia +2
This letter investigates the problem of anti-jamming communications in dynamic and unknown environment through on-line learning. Different from existing studies which need to know…