Physical Layer Message Prediction for 5G Radio Access Network Protocols
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1866918399924240384 |
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| author | Ebert, Jonathan Rost, Peter |
| author_facet | Ebert, Jonathan Rost, Peter |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_19760 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Physical Layer Message Prediction for 5G Radio Access Network Protocols Ebert, Jonathan Rost, Peter Networking and Internet Architecture 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. |
| title | Physical Layer Message Prediction for 5G Radio Access Network Protocols |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2603.19760 |