Scenario modules, ray‐tracing simulations and analysis of millimetre wave and terahertz channels for smart rail mobility. Issue 4 (21st February 2018)

• Record Type: Journal Article
• Authors: Guan, Ke; Ai, Bo; Peng, Bile; He, Danping; Lin, Xue; Wang, Longhe; Zhong, Zhangdui; Kürner, Thomas
• Is Part Of: IET microwaves, antennas & propagation. Volume 12:Issue 4(2018)
• Page Start: 501
• Page End: 508
• Publication Date: 2018-02-21
• Subjects: ray tracing -- rail traffic -- railway communication -- millimetre wave antennas -- microwave antennas -- Rician channels -- telecommunication traffic; bandwidth 8 GHz -- frequency 60 GHz -- statistics -- rail traffic scenario -- coherence bandwidth extraction -- root‐mean‐square delay spread -- Ricean k‐factor -- shadow factor -- path‐loss exponent -- antenna -- THz train‐to‐infrastructure channel -- mmwave train‐to‐infrastructure channel -- seamless high‐data rate communication -- THz channel technology -- mmwave channel technology -- smart rail mobility -- terahertz channel technology -- millimetre wave channel technology -- ray‐tracing simulation; Microwaves -- Periodicals; Microwave antennas -- Periodicals; Antennas (Electronics) -- Periodicals; Radio wave propagation -- Periodicals; Microwave communication systems -- Periodicals; 621.381305
• DOI: 10.1049/iet-map.2017.0591
• Languages: English
• ISSNs: 1751-8725

Abstract

Abstract : Millimeter wave (mmWave) and Terahertz (THz) technologies are the enabler of providing high‐data rate communications for 'smart rail mobility'. In this paper, six scenario modules for mmWave and THz train‐to‐infrastructure channels are defined and constructed. All the main objects, such as tracks, stations, crossing bridges, tunnels, cuttings, barriers, pylons, buildings, vegetation, traffic signs, billboards, trains, etc., are modeled according to the typical geometries and materials in reality. The three‐dimensional (3D) models of these six modules are publicly available and freely downloadable. Furthermore, extensive ray‐tracing simulations in the 60 GHz band with 8 GHz bandwidth are made in all the six modules with two antenna setups. Path loss exponent, shadow factor, Ricean K ‐factor, root‐mean‐square (RMS) delay spread, and coherence bandwidth are extracted and analyzed. These channel characteristics show that the objects that might not be so impacting on lower frequency channels indeed influence mmWave channel properties, and therefore, they can even play a more important role in the channels at higher frequency bands – THz. The channel characteristics analyzed in this study provide the foundation for future work that aims to streamline the design, simulation, and development of mmWave and THz communications enabling smart rail mobility.