Performance Analysis of 5G-R Network Bearing Train Control Information of HSR Based on Hardware-in-the-Loop Simulation

Train Control system as the nerve of railway has attracted significant attention from both academia and industries since it is closely related to safety, especially in High-speed railway(HSR). To be in line with the research of 5G network for railway (5G-R), which is a topic of common concern for railways around the world, performance of 5G-R bearing train control information needs to be studied to ensure high-quality of transmission. In this article, the train-ground communication demand for train control is deeply analyzed, and three scientific questions are extracted, involving the service establishment latency of the train control on-board modules, the end-to-end data transmission latency distribution, as well as the redundant communication link switching algorithm under network abnormal conditions. A hardware-in-the-loop simulation environment combining the actual 5G-R system and channel simulator is built, under which, 95% statistical value of service establishment is analyzed, which is furtherly used to determine length of transition Section between 5G-R and GSM-R. End to end latency samples are collected and the statistical distribution is analyzed with
$\chi ^{2}$
fitting test method, and statistically modeled by Student t-distribution. Moreover, in order to maintain a reliable communication link, based on the heartbeat information of dual train-ground links, a better link decision algorithm using Informer Long Sequence Time-Series Forecasting(LSTF) method is proposed, and verified with normal as well as abnormal latency samples by caculating MAPE values. Relevant research results of this article will be helpful for facilitating the design of future train control and 5G-R system.