4 papers
Transform-Invariant Generative Ray Path Sampling for Efficient Radio Propagation Modeling
Jérome Eertmans, Enrico M. Vitucci, Vittorio Degli-Esposti +3
Ray tracing has become a standard for accurate radio propagation modeling, but suffers from exponential computational complexity, as the number of candidate paths scales with the n…
Fast, Differentiable, GPU-Accelerated Ray Tracing for Multiple Diffraction and Reflection Paths
Jérome Eertmans, Jérome Eertmans, Sophie Lequeu +4
We present a fast, differentiable, GPU-accelerated optimization method for ray path tracing in environments containing planar reflectors and straight diffraction edges. Based on Fe…
Towards Generative Ray Path Sampling for Faster Point-to-Point Ray Tracing
Jérome Eertmans, Nicola Di Cicco, Claude Oestges +3
Radio propagation modeling is essential in telecommunication research, as radio channels result from complex interactions with environmental objects. Recently, Machine Learning has…
Comparing Differentiable and Dynamic Ray Tracing: Introducing the Multipath Lifetime Map
Jérome Eertmans, Enrico Maria Vitucci, Vittorio Degli-Esposti +2
With the increasing presence of dynamic scenarios, such as Vehicle-to-Vehicle communications, radio propagation modeling tools must adapt to the rapidly changing nature of the radi…