Architectural Design of a High-Performance ML-Based Processing Platform for 5G NTN

Authors: T. Düe, M. Vakilifard, A. Dekorsy, J. Rust, Maike Taddiken, Felix Prautzsch
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.

Document type: Conference Paper
Publication: Opatija, Croatia, 28. - 30. May 2024
Conference: DASIA (Data Systems in Aerospace)
Files:
Architectural Design of a High-Performance ML-Based Processing Platform for 5G NTN
[DASIA2024]_Architectural_Design_of_a_High-Performance_ML-Based_Processing_5G_NTN_label.pdf274 KB
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Last change on 13.02.2025 by T. Düe
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