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Communication Dans Un Congrès Année : 2022

An Open Dataset for Beyond-5G Data-driven Network Automation Experiments

Dung Chi Phung
Salah Bin Ruba
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Stefano Secci

Résumé

In this paper, we present the 5G3E (5G End-to-End Emulation) dataset created to support 5G network automation. The dataset contains thousands of time-series, built at different sampling rates, related to the observation of multiple resources involved in 5G network operation: radio, computing and network resources. The variety of collected features ranges from radio front-end metrics to physical server operating system and network function metrics. We describe the testbed we deployed to support the creation of traffic starting from real traffic traces of a commercial network operator.
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Dates et versions

hal-03698732 , version 1 (19-06-2022)
hal-03698732 , version 2 (21-06-2022)

Identifiants

Citer

Dung Chi Phung, Nour-El-Houda Yellas, Salah Bin Ruba, Stefano Secci. An Open Dataset for Beyond-5G Data-driven Network Automation Experiments. 2022 1st International Conference on 6G Networking (6GNet), Jul 2022, Paris, France. ⟨10.1109/6GNet54646.2022.9830292⟩. ⟨hal-03698732v2⟩
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