4 papers
Physics-Informed Deep Recurrent Back-Projection Network for Tunnel Propagation Modeling
Kunyu Wu, Qiushi Zhao, Jingyi Zhou +4
Accurate and efficient modeling of radio wave propagation in railway tunnels is is critical for ensuring reliable communication-based train control (CBTC) systems. Fine-grid parabo…
Physics-Constrained Inc-GAN for Tunnel Propagation Modeling from Sparse Line Measurements
Yang Zhou, Haochang Wu, Yunxi Mu +3
High-speed railway tunnel communication systems require reliable radio wave propagation prediction to ensure operational safety. However, conventional simulation methods face chall…
Intelligent Optimization of Wireless Access Point Deployment for Communication-Based Train Control Systems Using Deep Reinforcement Learning
Kunyu Wu, Qiushi Zhao, Zihan Feng +4
Urban railway systems increasingly rely on communication based train control (CBTC) systems, where optimal deployment of access points (APs) in tunnels is critical for robust wirel…
Validating Convex Optimization of Reconfigurable Intelligent Surfaces via Measurements
Hans-Dieter Lang, Michel A. Nyffenegger, Sven Keller +4
Reconfigurable Intelligent Surfaces (RISs) can be designed in various ways. A previously proposed semidefinite relaxation-based optimization method for maximizing power transfer ef…