In the vision of “smart rail mobility”, a seamless high-data-rate wireless connectivity with up to dozens of GHz bandwidth will be required. This forms a strong motivation for exploring the underutilized millimeter wave (mmWave) and Terahertz (THz) bands.
In this talk, we identify the main challenges and present the state-of-the-art solutions towards the realization of smart rail mobility. In order to cope with the challenge of involving the railway features in the channel models, we define and reconstruct the reference scenario modules for mmWave and THz railway channels. Simulations in these scenario modules reflect the influence of railway objects in detail; based on ray-tracing simulations in these modules, two mmWave railway channel models are established.
Moreover, in order to tackle the challenge of heavy computing workload, we develop an open-access high-performance ray-tracing platform — CloudRT. Last but not least, the challenges raised by mmWave directional network under high mobility is overcome by our solutions concerning handover scheme, random access procedure, and beamforming strategies. By integrating the key enabling technologies presented in this paper, we prototyped the mobile hotspot network-Enhanced (MHN-E) system which was successfully demonstrated at the PyeongChang 2018 Olympic and Paralympic
Winter Games, achieving the maximum data rate around 4 Gbps at the mobile speed of 60 km/h.
Associate Professor, Dr. Ke Guan,
Beijing Jiaotong University (China), Technische Universitaet Braunschweig (Germany)