22 papers
Low-Altitude Channel Multipath Prediction via Panoramic Perception and Vision-Language Model
Zihang Zeng, Shu Sun, Meixia Tao +3
Unmanned aerial vehicle (UAV) communication is expected to support a wide range of low-altitude applications in 6G mobile networks. However, traditional statistical channel models…
BDFlow-3DRM: Height-Coherent 3D Radio Map Construction via Bi-Dynamical Flow Matching
Jun Yu, Meixia Tao, Shu Sun
Three-dimensional (3D) radio map (RM) is a key enabler for environment-aware communications in low-altitude wireless scenarios by providing site-specific channel priors indexed by…
LAMBDA: A Low-Altitude Multimodal Base Dataset for UAV Sensing and Communication
Lin Zhou, Peichuan Rao, Chenshuo Zhang +4
Research on low-altitude integrated sensing and communication (ISAC) requires aligned multimodal data that jointly describe wireless propagation, visual appearance, unmanned aerial…
GeNeRT: A Physics-Informed Approach to Intelligent Wireless Channel Modeling via Generalizable Neural Ray Tracing
Kejia Bian, Meixia Tao, Shu Sun +2
Neural ray tracing (RT) has emerged as a promising paradigm for channel modeling by integrating physical propagation principles with neural networks. However, existing neural RT me…
Toward Agile and Cooperative LEO Satellite Beam-Hopping Networks: Paradigms, Challenges, and Opportunities
Xinyi Huang, Bodong Shang, Meixia Tao
Low-Earth orbit (LEO) satellite beam-hopping (BH) technology is emerging as a promising approach to meet the ever-increasing global connectivity demands, enabling agile, on-demand…
Phase-Time Array Enabled Multistatic Sensing with Multi-Level Fusion for UAV Localization
Ming Gao, Jianhua Mo, Meixia Tao
Multistatic collaborative sensing eliminates self-interference, achieves spatial diversity gains, and enables wide-range seamless integrated sensing and communication (ISAC). Howev…