A novel MIMO channel model for high speed railway system

This paper focuses on the Geometry based Stochastic Channel Model (GSCM) and its application in high speed railway (HSR) multiple-input multiple-output (MIMO) systems. Different probability distribution functions (PDFs) of scatterers are studied and simulation results show that scatterers in Gaussian distribution make the best approximation to the realistic power delay profile (PDP) and power azimuth spectra (PAS). Additionally, the impacts of different scattering area shapes on the PDP and PAS in high speed railway scenario are simulated. Based on the conclusions above and existing measurement data, a novel channel model is established with local and far scatterer clusters for high speed railway scenario. The simulation results verify that our model is realistic.