Shuhang Zhang

Diffusion model-based radio map reconstruction for low-altitude wireless networks

Multi-Agent Model-Based Reinforcement Learning for Decentralized Spectrum Sharing in Low-Altitude Economy

Rapid advances in drone technology, combined with the growing congestion of terrestrial transport networks, are driving the emergence of the low-altitude economy. Uncrewed Aerial Vehicles (UAVs) are increasingly deployed for low-altitude economy applications such as urban logistics and transportation, yet their expansi...

ControlRadio: Prompt-Driven Controllable Diffusion for Cross-Modal Radio Map Generation

ControlRadio is presented, a controllable generative framework that produces radio maps from natural-language descriptions and environmental layouts, including building structures and transmitter locations, while reducing computation time by more than four orders of magnitude compared with conventional simulation-based...