The demo uses NVIDIA’s GPU-accelerated open-source simulator Sionna, delivering ray-traced RF environments calibrated with real-world urban canyon data. These results feed directly into the R&S SMW200A vector signal generator, enabling advanced testing without costly RF fading hardware.
This marks the fourth major milestone in the R&S-NVIDIA collaboration, supporting AI-native wireless innovations like neural receivers and ML-enhanced CSI feedback. Both companies emphasize that combining real-world-calibrated digital twins with AI/ML will drive next-gen communication system design toward a smarter, more efficient 6G future.