… in the COST 259 and COST 2100 channel model for cellular communications [33][34], we …
scatterers with the motion of the train. However, the COST 2100 model does not deal with the …

… of modelling approaches, T2T and T2G channel models can … channel models, geometry-based
stochastic channel models … -based stochastic, and sole stochastic channel models. While …

… of channel modeling for the future HSR communication systems. The significant requirements
of future HSR channel models … In [37], channel modeling based on random propagation …

… railway control systems. This paper derives a stochastic model for the HSR wireless channel
… 3) We propose a stochastic channel model, which takes into account variations from cell to …

… In this section we derive time-variant stochastic channel model parameters based on the
analyzed measurement data. The large scale fading is described by the PL and shadow fading …

… [102]–[106] and stochastic channel models. The latter can be further classified into geometry…
stochastic models (GBSMs) [41], [42], [107]–[111] and non-geometrical stochastic models (…

… stochastic delay analysis of train control services over a high-speed railway fading channel
using stochastic … Although HSR wireless channel modeling for physical layer has been a very …

… typical TappedDelay-Line channel models to be implemented in … the effect of representative
Railway environments in laboratory, … Kim, ‘‘Stochastic channel modeling for railway tunnel …

… railway channels. According to existing literatures, channel models for railway communication
… , “A geometry-based stochastic channel model for high-speed railway cutting scenarios,” …

… -based channel model. In this letter, we apply the Geometry-based Stochastic Channel
Modelling approach (… Next, we will parameterize the channel model using the measurement data. …