2026-07-09T04:20:40Zhttps://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

Zelenbaba, Stefan Mozo, Erislandy Wirth, Fabian Hladik, Reinhard Alonso Gómez, Arrate Bernadó, Laura Schiefer, Martin Zemen, Thomas 2026-06-09T10:01:28Z 2026-06-09T10:01:28Z 2019 978-1-7281-3627-1 https://hdl.handle.net/20.500.11984/14516 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. eng © 2019 IEEE Directive antennas Delays Doppler effect Frequency measurement Wireless communication Safety Bandwidth railway 5G wireless URLLC train-to-infrastructure Characterization of Time-Variant Wireless Channels in Railway Communication Scenarios