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Author

P. Svoboda

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Sep 2026

Data-Driven Fusion of Gaussian Process Regression and 3GPP Models for Urban Path Loss Prediction

Accurate cell-specific signal strength maps are essential for coverage analysis and interference assessment in dense urban networks. However, drive-test measurements are typically spatially sparse, leaving many street segments unobserved. This paper proposes a physics-informed hybrid model for street-level pathloss pre...

Sophie My Rupp, P. Svoboda, Markus Rupp · 0 citations
Sep 2026

Validation of Sionna Ray-Tracer for Urban Signal-Strength Prediction Using Large-Scale Drive-Test Measurements

Accurate channel modelling is a key prerequisite for planning and improvement of wireless communication networks. Obtaining a precise channel model is therefore a pivotal task for telecommunication engineers. One method that has gained in popularity in recent years is ray-tracing. Given the widespread use, it is import...

Kamil Chmela, P. Svoboda, W. Wiedner et al. · 0 citations
Sep 2026

Data-Driven System-Level Evaluation of MU-MIMO in Urban FDD-to-TDD Refarming

Frequency-division duplex (FDD) to time-division duplex (TDD) spectrum refarming is often motivated by the expected gains of reciprocity-based multi-user multiple-input multiple-output (MU-MIMO) operation. However, many system-level evaluations rely on simplified user equipment (UE) placement models, which may overesti...

Mikhail Maliarenko, W. Wiedner, P. Svoboda · 0 citations
#artificial intelligence Open access Mar 2026

The Vienna 4G/5G Drive-Test Dataset

The Vienna 4G/5G Drive-Test Dataset is introduced, a city-scale open dataset of georeferenced Long Term Evolution and 5G New Radio measurements collected across Vienna, Austria, enabling reproducible benchmarking across environment-aware learning, propagation modeling, coverage analysis, and ray-tracing calibration wor...

W. Wiedner, Lukas Eller, Mariam Mussbah et al. · 6 citations

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