Under review · Manuscript under review · 2026
A hierarchical deep-RL method that injects LLM-generated scheduling priors into energy-efficient UAV-enabled secure integrated sensing and communications.
推荐引用： Wenshuai Cui. LEP-HDRL: Hierarchical Deep Reinforcement Learning With LLM-Generated Scheduling Priors for Energy-Efficient UAV-Enabled Secure ISAC.
Accepted · IEEE Communications Standards Magazine · 2026
A perspective on how deep reinforcement learning and graph neural networks can support intelligent, adaptive, and secure UAV networking in 6G.
推荐引用： Liang Wang, Wenshuai Cui, Qihao Peng, Zhiqiang Liu, and Rugui Yao. AI-Enabled UAV Networks for 6G: A Paradigm Shift.
Accepted · IEEE International Conference on Communications (ICC) · 2026
A graph-attention reinforcement-learning framework for jointly optimizing UAV trajectory, transmit power, and bandwidth under physical-layer security constraints.
推荐引用： Liang Wang, Wenshuai Cui, Bomin Mao, Qu Luo, and Qihao Peng. Joint Trajectory and Resource Optimization for Secure UAV Communications Based on Graph Attention Reinforcement Learning.