The Vienna 4G/5G Drive-Test Dataset

TL;DR

The Vienna 4G/5G Drive-Test Dataset provides a comprehensive, real-world, city-scale collection of LTE and 5G measurements, supporting research in network analysis, modeling, and optimization.

Contribution

This paper introduces a large, open, and well-organized dataset combining passive and active measurements, along with geographic and structural data, for advancing mobile network research.

Findings

Dataset covers diverse urban and suburban environments.

Includes inferred deployment descriptors for key base stations.

Enables reproducible benchmarking for various network analysis tasks.

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 open dataset of georeferenced Long Term Evolution (LTE) and 5G New Radio (NR) measurements collected across Vienna, Austria. The dataset combines passive wideband scanner observations with active handset logs, providing complementary network-side and user-side views of deployed radio access networks. The measurements cover diverse urban and suburban settings and are aligned with time and location information to support consistent evaluation. For a representative subset of base stations (BSs), we provide inferred deployment descriptors, including estimated BS locations, sector azimuths, and antenna heights. The release further includes high-resolution building and terrain models, enabling geometry-conditioned learning and calibration of deterministic approaches such as ray tracing. To facilitate practical reuse, the data are organized into scanner, handset, estimated cell information, and city-model components, and the accompanying documentation describes the available fields and intended joins between them. The dataset enables reproducible benchmarking across environment-aware learning, propagation modeling, coverage analysis, and ray-tracing calibration workflows.