Abstract: Ray tracing is a widely used method to model radio wave propagation in complex environments. However, traditional ray tracing tools are often not differentiable, preventing their use in gradient-based optimization and machine learning pipelines. We present a fast, differentiable, GPU-accelerated ray tracing framework supporting multiple diffraction and reflection paths, enabling efficient optimization of radio network parameters. TODO: abstract exact à coller depuis arXiv:2510.16172.
Note: Best Paper Award EuCAP 2026.