2026-07-09T04:19:59Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/145162026-06-10T06:15:40Zcom_20.500.11984_1143com_20.500.11984_14090col_20.500.11984_1148

Characterization of Time-Variant Wireless Channels in Railway Communication Scenarios Zelenbaba, Stefan Mozo, Erislandy Wirth, Fabian Hladik, Reinhard Alonso Gómez, Arrate Bernadó, Laura Schiefer, Martin Zemen, Thomas Directive antennas Delays Doppler effect Frequency measurement Wireless communication Safety Bandwidth railway 5G wireless URLLC train-to-infrastructure We present results from a train-to-infrastructure (T2I) and train-to-train (T2T) measurement campaign where we perform single-input-single-output channel sounding with a 150 MHz bandwidth, allowing us to resolve multi-path components with high precision. We analyze the measurements done for both T2I and T2T communication links, with trains going at speeds of maximum 20 km/h~~ 5.56 m/s. Using low velocities allows us to run two trains behind each other on the same rail track with very short distances (0 < d < 200 m). The analyzed data combined with GPS and video recordings serves for describing the geometry of the environment and developing a physical geometry-based stochastic channel model that enables virtual channel emulation for scenarios with trains moving at high velocities (0 < v < 300 km/h~~ 83.33 m/s), but short distances. Characterizing the channel through empirically obtained data in such scenarios is still impossible in practice due to safety issues. Nevertheless, it presents a key step towards ultra-reliable low-latency link research for 5G use cases in the high-speed railway domain. We show that neighboring traffic and surrounding infrastructure has a big impact on the delay spread and that at extremely close distances, path loss variation depends on used antenna polarization. 2026-06-09T10:01:28Z 2026-06-09T10:01:28Z 2019 978-1-7281-3627-1 https://hdl.handle.net/20.500.11984/14516 eng © 2019 IEEE IEEE