Low-altitude wireless networks (LAWNs) have emerged as a viable solution for maritime communications. In these maritime LAWNs, uncrewed aerial vehicles (UAVs) serve as practical low-altitude platforms for wireless communications due to their flexibility and ease of deployment. However, the open and clear UAV communicat...
Jiawei Huang, Ai-Min Wang, Geng Sun et al.· IEEE Transactions on Mobile...· 0 citations
Unmanned aerial vehicle vision-language navigation (UAV-VLN) requires agents to translate visual observations and language instructions into reliable flight actions in complex environments. Although recent end-to-end UAV vision-language-action (UAV-VLA) policies reduce reliance on separately designed perception, planni...
Boxiong Wang, Hui Kang, Geng Sun et al.· 0 citations
This tutorial presents a comprehensive treatment of LAWNs from the joint perspectives of artificial intelligence (AI) and signal processing, and highlights opportunities for LAWNs to evolve into dependable, AI-native infrastructure for the intelligent skies.
Weijie Yuan, Geng Sun, Jia-Cheng Wang et al.· IEEE Journal on Selected Top...· 0 citations
Low-altitude uncrewed aerial vehicle (UAV) communication offers notable advantages over terrestrial base stations in terms of flexibility and deployment efficiency. However, the high likelihood of line-of-sight (LoS) propagation renders the communication links between UAVs and ground users (GUs) particularly susceptibl...
Wenwen Xie, Geng Sun, Jiahui Li et al.· IEEE Transactions on Cogniti...· 0 citations
RecoverFly is proposed, a failure-aware RL post-training framework for end-to-end UAV-VLA policies that adapts token-level RL for stable optimization of grammar-constrained autoregressive UAV actions, revisits unresolved failure cases to strengthen corrective learning and sample utilization, and combines a two-stage lo...
Boxiong Wang, Hui Kang, Geng Sun et al.· 0 citations
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