12 papers
Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach
Zijiang Yan, Hao Zhou, Wael Jaafar +4
The deployment of high-speed Uncrewed Aerial Vehicles (UAVs) in 3D aerial highways necessitates robust coordination of physical flight kinematics and multi-tier network handovers.…
Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity
Zijiang Yan, Hao Zhou, Wael Jaafar +4
Uncrewed aerial vehicles (UAVs) are increasingly deployed in complex networked environments, yet the joint optimization of multi-UAV motion control and connectivity remains a funda…
EMFusion: Uncertainty-Aware Conditional Diffusion Model for Multivariate Narrow-band Exposure Forecasting
Zijiang Yan, Yixiang Huang, Jianhua Pei +2
The rapid growth in wireless infrastructure has increased the need to accurately estimate and forecast electromagnetic field (EMF) levels to ensure ongoing compliance, assess poten…
TOAST: Task-Oriented Adaptive Semantic Transmission over Dynamic Wireless Environments
Sheng Yun, Jianhua Pei, Ping Wang
The evolution toward 6G networks demands a fundamental shift from bit-centric transmission to semantic-aware communication that emphasizes task-relevant information. This work intr…
Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks
Zijiang Yan, Hao Zhou, Jianhua Pei +1
Unmanned aerial vehicles (UAVs) have been widely adopted in various real-world applications. However, the control and optimization of multi-UAV systems remain a significant challen…
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey
Haoqi Huang, Ping Wang, Jianhua Pei +3
The rapid expansion of data from diverse sources has made anomaly detection (AD) increasingly essential for identifying unexpected observations that may signal system failures, sec…