@inproceedings{
  author = {T. D\"{u}e and M. Vakilifard and C. Bockelmann and D. W\"{u}bben and A. Dekorsy​},
  year = {2025},
  month = {Feb},
  title = {An Open Source Channel Emulator for Non-Terrestrial Networks},
  URL = {https://www.asmsconference.org/},
  address={Sitges, Spain},
  abstract={Non-Terrestrial Networks (NTNs) are one of the key technologies to achieve the goal of ubiquitous connectivity in 6G. However, as real world data in NTNs is expensive, there is a need for accurate simulations with appropriate channel models that can be used for the development and testing communication technologies for various NTN scenarios. In this work, we present our implementation of multiple channel models for NTNs provided by the 3rd Generation Partnership Project (3GPP) in an open source framework. The framework can be integrated into the existing Python framework Sionna™ , enabling the investigations of NTNs using link-level simulations. By keeping the framework open source, we allow users to adapt it for specific use cases without needing to implement the complex underlying mathematical framework. The framework is implemented in Python as an extension to the existing Sionna™ framework, which already provides a large number of existing 5G-compliant communications components. As the models in the framework are based on Tensorflow and Keras, they are compatible with not only Sionna™ , but also many existing software solutions implemented in Tensorflow and Keras, including a significant amount of the Machine Learning (ML) related research.
You can find the GitHub page to try OpenNTN for yourself here. The GitHub page includes tutorials you can use to get started more easily.},
  booktitle={Advanced Satellite Multimedia Systems Conference/Signal Processing for Space Communications Workshop (ASMS/SPSC 2025)}
}