Physical Layer Message Prediction for 5G Radio Access Network Protocols

Jonathan Ebert; Peter Rost

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arXiv · 2603.19760

Physical Layer Message Prediction for 5G Radio Access Network Protocols

Jonathan Ebert·Peter Rost

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Abstract

Protocol reverse engineering stands as the cutting-edge approach in security research. This paper presents a framework capable of reverse engineering the communications within a mobile communication system. Our focus is on systems released by the 3GPP, with an emphasis on 5G NR. Our approach leverages the available context and syntax of the 5G standard to predict subsequent messages. This approach relies on a Transformer model and is trained based on an open-source 5G system implementation, emulating a base station and several user equipments. The prediction targets messages at the physical layer.

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BibTeX RIS

Jonathan Ebert, Peter Rost. 2026-03-20. Physical Layer Message Prediction for 5G Radio Access Network Protocols. https://arxiv.org/abs/2603.19760

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