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

Zhou, Tao; Tao, Cheng; Liu, Liu; Tan, Zhenhui

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


Authors

Tao Zhou

Cheng Tao

Liu Liu

Zhenhui Tan



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 involving -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.

Citation

Zhou, T., Tao, C., Liu, L., & Tan, Z. (2014). A Semiempirical MIMO Channel Model in Obstructed Viaduct Scenarios on High-Speed Railway. International Journal of Antennas and Propagation, 2014, Article 287159. https://doi.org/10.1155/2014/287159

Journal Article Type Article
Acceptance Date Apr 17, 2014
Online Publication Date Jun 12, 2014
Publication Date Jun 12, 2014
Deposit Date Oct 23, 2014
Publicly Available Date Nov 12, 2014
Journal International Journal of Antennas and Propagation
Print ISSN 1687-5869
Electronic ISSN 1687-5877
Publisher Hindawi
Peer Reviewed Peer Reviewed
Volume 2014
Article Number 287159
DOI https://doi.org/10.1155/2014/287159
Public URL https://durham-repository.worktribe.com/output/1421115

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
© 2014 Tao Zhou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.





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