Sionna ™ is a GPU-accelerated open-source library for link-level simulations. It enables rapid prototyping of complex communication system architectures and provides native support for the integration of machine learning in 6G signal processing.

Sionna™ is a TensorFlow-based open-source library for simulating the physical layer of wireless and optical communication systems. The rapid prototyping of complex communication system architectures is as simple as connecting the desired building …

Sionna™ is an open-source Python library for link-level simulations of digital communication systems built on top of the open-source software library TensorFlow for machine learning. The official documentation can be found here .

2022年3月22日 · Sionna enables rapid prototyping of complex communication system architectures. It’s the world’s first framework that natively enables the use of neural networks in the physical layer and eliminates the need for separate toolchains for data generation, training, and performance evaluation.

Part I: Getting started with Sionna. Part II: Differentiable Communication Systems. Part III: Advanced Link-level Simulations. Part IV: Toward Learned Receivers. The official documentation provides key material on how to use Sionna and how its components are implemented. Imports & Basics. A note on random number generation. Sionna Data-flow and ...

2022年3月22日 · 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.

2022年3月22日 · 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 aims at keeping this barrier-to-entry for machine learning for communications research as low as possible. The following list of interactive examples can be directly executed, modified, and re-used as blueprint for your own research.

Sionna™ is an open-source Python library for link-level simulations of digital communication systems built on top of the open-source software library TensorFlow for machine learning. The official documentation can be found here .

When Sionna is loaded, it instantiates random number generators (RNGs) for Python, NumPy, and TensorFlow. You can optionally set a seed which will make all of your results deterministic, as long...