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Geometry-Based Stochastic Channel Model for High-Speed Railway Communications

Zhou, Lai; Luan, Fengyu; Zhou, Shidong; Molisch, Andreas F. LU and Tufvesson, Fredrik LU (2019) In IEEE Transactions on Vehicular Technology 68(5). p.4353-4366
Abstract

Reliable wireless communication links are a critical but challenging aspect for high-speed railway (HSR). To develop and analyze such systems, accurate models for the propagation channel are required. The radio channel properties in HSR scenarios are different from those in cellular scenarios not only due to the high velocity, but also due to the special construction elements and the type of surroundings along the train lines. We performed a measurement campaign at a carrier frequency of 2.4 GHz on the Guangzhou-Shenzhen dedicated high-speed train line in China. Motivated by the results from these measurements, we propose the concept of active scatterer region as an improvement for geometry-based stochastic channel models for HSR, to... (More)

Reliable wireless communication links are a critical but challenging aspect for high-speed railway (HSR). To develop and analyze such systems, accurate models for the propagation channel are required. The radio channel properties in HSR scenarios are different from those in cellular scenarios not only due to the high velocity, but also due to the special construction elements and the type of surroundings along the train lines. We performed a measurement campaign at a carrier frequency of 2.4 GHz on the Guangzhou-Shenzhen dedicated high-speed train line in China. Motivated by the results from these measurements, we propose the concept of active scatterer region as an improvement for geometry-based stochastic channel models for HSR, to better describe the non-stationary properties of such channels. Further contributions to the total channel impulse response are also studied, including the line-of-sight component and the scattering component from overhead line poles. Each type of component is modeled and fully parameterized based on the measurement results.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
active scatterer region, channel measurement, GSCM, High speed railway, non-stationary
in
IEEE Transactions on Vehicular Technology
volume
68
issue
5
pages
14 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85066628119
ISSN
0018-9545
DOI
10.1109/TVT.2019.2906257
language
English
LU publication?
yes
id
8716c3f3-b422-4a27-b066-4ff0e178c3a1
date added to LUP
2019-07-01 14:38:58
date last changed
2019-07-09 04:51:15
@article{8716c3f3-b422-4a27-b066-4ff0e178c3a1,
  abstract     = {<p>Reliable wireless communication links are a critical but challenging aspect for high-speed railway (HSR). To develop and analyze such systems, accurate models for the propagation channel are required. The radio channel properties in HSR scenarios are different from those in cellular scenarios not only due to the high velocity, but also due to the special construction elements and the type of surroundings along the train lines. We performed a measurement campaign at a carrier frequency of 2.4 GHz on the Guangzhou-Shenzhen dedicated high-speed train line in China. Motivated by the results from these measurements, we propose the concept of active scatterer region as an improvement for geometry-based stochastic channel models for HSR, to better describe the non-stationary properties of such channels. Further contributions to the total channel impulse response are also studied, including the line-of-sight component and the scattering component from overhead line poles. Each type of component is modeled and fully parameterized based on the measurement results.</p>},
  articleno    = {8669796},
  author       = {Zhou, Lai and Luan, Fengyu and Zhou, Shidong and Molisch, Andreas F. and Tufvesson, Fredrik},
  issn         = {0018-9545},
  keyword      = {active scatterer region,channel measurement,GSCM,High speed railway,non-stationary},
  language     = {eng},
  number       = {5},
  pages        = {4353--4366},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Vehicular Technology},
  title        = {Geometry-Based Stochastic Channel Model for High-Speed Railway Communications},
  url          = {http://dx.doi.org/10.1109/TVT.2019.2906257},
  volume       = {68},
  year         = {2019},
}