Sionna: An Open-Source Library for accelerated 6G Physical Layer Research

Sionna is a GPU-accelerated open-source library for link-level simulations based on TensorFlow. It enables the rapid prototyping of complex communication system architectures and provides native support for the integration of neural networks. Sionna implements a wide range of carefully tested state-of-the-art algorithms that can be used for benchmarking and end-to-end performance evaluation. This allows researchers to focus on their research, making it more impactful and reproducible, while spending less time implementing components outside their area of expertise. This talk is an introduction to Sionna and explains its design decisions and features, as well as future extensions, such as integrated ray tracing and custom CUDA kernels. Sionna is a valuable tool for research on next-generation communication systems and we welcome contributions from our community.