Ling-Yang Song

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

RIS-Enabled Energy-Efficient ISAC for Vehicular Applications

Experimental results show that compared with the system without RIS, the proposed RIS-based prototype enables more accurate vehicle trajectory tracking with an average localization error of 0.11 m and supports more robust data transmission, as evidenced by a 41.9% reduction in error vector magnitude (EVM).

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...

Attribute-Based Access Control in Cloud–Edge Industrial IoT Networks via Deep Reinforcement Learning

The fourth industrial revolution drives AI-powered smart manufacturing through cloud-edge computing, enabling intelligent production processes and data-driven automation. To handle security concerns arising from massive IoT deployments, attribute-based access control (ABAC) has become essential for smart factories. It...