13 papers
Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization
Yang Li, Ruichen Zhang, Yinqiu Liu +4
The rapid advancement of Low-Altitude Economy Networks (LAENets) has enabled a variety of applications, including aerial surveillance, environmental sensing, and semantic data coll…
Rethinking Wireless Communications through Formal Mathematical AI Reasoning
Changyuan Zhao, Jiacheng Wang, Dusit Niyato +5
Mathematical analysis has long underpinned wireless communication theory, yet the growing complexity of next-generation systems demands increasingly sophisticated reasoning from do…
Tutorial on Large Language Model-Enhanced Reinforcement Learning for Wireless Networks
Lingyi Cai, Wenjie Fu, Yuxi Huang +9
Reinforcement Learning (RL) has shown remarkable success in enabling adaptive and data-driven optimization for various applications in wireless networks. However, classical RL suff…
From Agentification to Self-Evolving Agentic AI for Wireless Networks: Concepts, Approaches, and Future Research Directions
Changyuan Zhao, Ruichen Zhang, Jiacheng Wang +5
Self-evolving agentic artificial intelligence (AI) offers a new paradigm for future wireless systems by enabling autonomous agents to continually adapt and improve without human in…
Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey
Yang Lu, Shengli Zhang, Chang Liu +6
The rapid advancement of communication technologies has driven the evolution of communication networks towards both high-dimensional resource utilization and multifunctional integr…
Advancing the Control of Low-Altitude Wireless Networks: Architecture, Design Principles, and Future Directions
Haijia Jin, Weijie Yuan, Jun Wu +11
This article introduces a control-oriented low-altitude wireless network (LAWN) that integrates near-ground communications and remote estimation of the internal system state. This…