A Novel Non-Stationary High-Speed Train (HST) Channel Modeling and Simulation Method

Abstract

With the rapid development of high-speed train (HST), the HST wireless communication systems have been attracting an increasing amount of attention. For the design, optimization, and evaluation of HST communication systems, it is vital to have an accurate channel model that can mimic the non-stationary characteristics of HST communication links. In this paper, we propose a new geometry-based stochastic channel model (GSCM) for rural macrocell scenarios by exploiting the sum-of-frequency-modulated signals method. The time-variant (TV) theoretical autocorrelation function (ACF) and Doppler power spectrum density of the proposed GSCM under von-Mises scattering environments are also derived by employing the Wigner distribution function. Moreover, a new simulation method is developed to reproduce the proposed GSCM. To reconstruct the non-stationary characteristic precisely, we also develop a low complexity parameter computation approach with linear variation. Finally, the simulation results demonstrate that the TV train's velocity leads to the non-stationary characteristic in the channel model. Meanwhile, the simulated ACF agrees well with the theoretical and measured ones, showing the correctness of the theoretical derivation and the simulation method.