A Semiempirical MIMO Channel Model in Obstructed Viaduct Scenarios on High-Speed Railway

Abstract EN

A semiempirical multiple-input multiple-output (MIMO) channel model is proposed for high-speed railway (HSR) viaduct scenarios.

The proposed MIMO model is based on the combination of realistic single-input single-output (SISO) channel measurement results and a theoretical geometry-based stochastic model (GBSM).

Temporal fading characteristics involving K-factor and Doppler power spectral density (PSD) are derived from the wideband measurement under an obstructed viaduct on Zhengzhou-Xi’an HSR in China.

The GBSM composed of a one-ring model and an elliptical model is employed to describe the entire propagation environment.

Environment-related parameters in the GBSM are determined by the measured temporal fading properties.

And a close agreement is achieved between the model results and measured data.

Finally, a deterministic simulation model is established to perform the analysis of the space-time correlation function, the space-Doppler PSD, and the channel capacity for the measured scenario.

This model is more realistic and particularly beneficial for the performance evaluation of MIMO systems in HSR environments.