@inproceedings{
  author = {T. D\"{u}e and M. Vakilifard and A. Dekorsy and J. Rust, Maike Taddiken, Felix Prautzsch},
  year = {2024},
  month = {May},
  title = {Architectural Design of a High-Performance ML-Based Processing Platform for 5G NTN},
  URL = {https://eurospace.org/dasia-conference-aspx/},
  address={Opatija, Croatia},
  abstract={The development of Non-Terrestrial Networks in modern communication standards like 5G includes a functional split of base station functionalities. This introduces the demand for high-performance processing on-board satellites. As a possible solution, this paper presents the architectural design for a high-performance processing platform as a demonstrator for Machine-Learning-based on-board baseband processing for 5G Non-Terrestrial Networks. A Versal AI Edge device is the centerpiece of the processing unit, providing specialized acceleration for ML algorithms. Additionally, a hardware platform to implement the functionality of the ground segment is presented.},
  booktitle={DASIA (Data Systems in Aerospace)}
}