Sebastian Cammerer

Sebastian Cammerer is a research scientist at NVIDIA working on the intersection of wireless communications and machine learning. He is one of the maintainers and core developers of the Sionna open-source link-level simulator. His main research topics are machine learning for wireless communications and channel coding. Before joining NVIDIA, he received his PhD in electrical engineering and information technology from the University of Stuttgart, Germany, in 2021.
Avatar photo

Posts by Sebastian Cammerer

Networking / Communications Oct 28, 2025

Powering AI-Native 6G Research with the NVIDIA Sionna Research Kit

Wireless communication research is rich with brilliant ideas and computational power. Yet, there's a fundamental disconnect between what researchers can... 6 MIN READ
Simulation / Modeling / Design Sep 03, 2024

Real-Time Neural Receivers Drive AI-RAN Innovation

Today’s 5G New Radio (5G NR) wireless communication systems rely on highly optimized signal processing algorithms to reconstruct transmitted messages from... 11 MIN READ
Simulation / Modeling / Design Apr 28, 2023

Towards Environment-specific Base Stations: AI/ML-driven Neural 5G NR Multi-user MIMO Receiver

At this year’s Mobile World Congress (MWC), NVIDIA showcased a neural receiver​ for a 5G New Radio (NR) uplink multi-user MIMO scenario, which could be seen... 8 MIN READ