Abstract
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 involvingK-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.
Highlights
Public communications on high-speed railway (HSR) are currently attracting extensive attention all over the world
We have proposed a semiempirical multiple-input multiple-output (MIMO) channel model for the HSR viaduct scenario
The theoretical geometry-based stochastic model (GBSM) that consists of the one-ring model and Capacity
Summary
Public communications on high-speed railway (HSR) are currently attracting extensive attention all over the world. Train passengers expect to enjoy high-quality data communication services as they do on the ground. Present HSR communication systems used for train management and safety are difficult to satisfy their demands. To achieve a better user experience on HSR, a tailor-made communication service system for passengers needs to be researched and developed. Some advanced technologies such as multiple-input multiple-output (MIMO) and relay should be applied to HSR communication systems to enhance channel capacity and transmission reliability. Channel models are important for optimization, test, and performance evaluation of communication systems as well as related technologies. As HSR propagation scenarios determine unique channel fading characteristics, it is of importance to develop reasonable HSR channel models to facilitate researches on HSR communications
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