The application of semi-deterministic method on high-speed railway cutting scenario

Some channel characteristics in high-speed railway, such as path loss and Ricean K factor, have been intensively studied in several certain scenarios. Due to the limitation of channel measurement, some small-scale channel properties, especially the DoA (Angle of Departure) and AoA (Angle of Arrival) information, which is important for a MIMO channel model, are difficult to estimate from the current data. In this paper, the semi-deterministic method based upon geometry-based stochastic channel modeling is applied on cutting scenario. Some channel parameters are extracted from the Zhengxi high-speed railway measurement. The other part of the model is based on cutting geometry and cluster analysis. The cluster size is determined by the channel parameters. And the variation of the cluster size over the distance from the train is investigated.