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Vienna 4G/5G Drive-Test Dataset released for mobile network ML

By PulseAugur Editorial · [1 sources] ·

Researchers have released the Vienna 4G/5G Drive-Test Dataset, a comprehensive open dataset designed to advance machine learning applications in mobile network analysis. This dataset includes georeferenced measurements of Long Term Evolution (LTE) and 5G New Radio (NR) collected across Vienna, Austria. It combines passive scanner observations with active handset logs, offering both network-side and user-side perspectives. The dataset also features inferred base station deployment details and high-resolution building and terrain models to support geometry-conditioned learning and calibration. AI

IMPACT Enables reproducible benchmarking and development for environment-aware learning and propagation modeling in mobile networks.

RANK_REASON The cluster contains an academic paper detailing a new dataset for machine learning research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Vienna 4G/5G Drive-Test Dataset released for mobile network ML

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The cluster contains an academic paper detailing a new dataset for machine learning research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Wilfried Wiedner, Lukas Eller, Mariam Mussbah, Dominik R\"ossler, Valerian Maresch, Philipp Svoboda, Markus Rupp ·

    The Vienna 4G/5G Drive-Test Dataset

    arXiv:2603.02638v2 Announce Type: replace-cross Abstract: Machine learning for mobile network analysis, planning, and optimization is often limited by the lack of large, comprehensive real-world datasets. This paper introduces the Vienna 4G/5G Drive-Test Dataset, a city-scale ope…

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