17 papers
A Foundation Model for Cross-Band CSI Reconstruction
Hongpu Zhang, Shu Sun, Ruifeng Gao +2
Acquiring dense high-frequency channel state information (CSI) is costly in multi-band low-altitude wireless systems because pilot resources are limited and channel dimensions chan…
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…
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…
Invertible Diffusion for Low-Memory Channel Gain Map Construction in Wireless Communication Networks
Ruifeng Gao, Sen Li, Jue Wang +2
Channel gain maps (CGMs) enable propagation-aware services in edge-intelligent wireless communication networks, while diffusion-based CGM construction is memory intensive for on-de…
Fusion of Monostatic and Bistatic Sensing for ISAC-Enabled Low-Altitude Environment Mapping
Liu Meihui, Sun Shu, Gao Ruifeng +2
Driven by the rapid growth of the low-altitude economy, integrated sensing and communication (ISAC) technologies are essential to meet the stringent demands for reliable connectivi…