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Artículos en revistas:
Influence of Typical Railway Objects in mmWave Propagation Channel
Año:2017
Áreas de investigación
  • Ingenierías,
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
In the future railway services, wireless communication is the fundamental part and millimeter wave (mmWave) is foreseen to be a key enabler towards the smart railway. An accurate understanding of the propagation environment can assist designing both systems and railway infrastructures for better communication services. In this paper, the influence of typical objects to the mmWave propagation channel are analyzed for ?Train-to-infrastructure? and ?Intra-wagon? railway scenarios with various configurations. Propagation measurements are conducted in the mmWave band for the 12 most common railway materials. The corresponding electromagnetic parameters are obtained and a 3D ray tracing (RT) simulator is calibrated. The mean absolute error of the simulated S21 parameter is -53.5 dB, indicating that the calibrated RT can be used to generate the close-to-real mmWave channel for railway scenarios. Statistically consistent scenarios and deployments are generated, which enables drawing unbiased numerical results based on intensive RT simulations. The influence of typical objects and corresponding material compositions are then compared and significant objects are determined for each scenario. The results of this work not only imply how the propagation environment impacts on the propagation channel, but also makes suggestions to efficiently reconstruct railway environment models for an accurate RT based channel model. Moreover, the understanding of the influence of the environment at object and material levels will in turn guide the construction of railway infrastructure for better railway services.
Internacional
Si
JCR del ISI
Si
Título de la revista
IEEE Transactions on Vehicular Technology
ISSN
0018-9545
Factor de impacto JCR
4,066
Información de impacto
Volumen
2017
DOI
10.1109/TVT.2017.2782268
Número de revista
2017
Desde la página
1
Hasta la página
12
Mes
DICIEMBRE
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Danping He (Beijing Jiaotong University (China))
  • Autor: Bo Ai (Beijing Jiaotong University (China))
  • Autor: Ke Guan (Bo Ai (Beijing Jiaotong University (China)))
  • Autor: Juan Anton Moreno Garcia-Loygorri (UPM)
  • Autor: Li Tian (ZTE Corporation, China)
  • Autor: Zhangdoui Zhong (Beijing Jiaotong University (China))
  • Autor: Andrej Hrovat (Jozef Stefan Institute (Slovenia))
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Teoría de la Señal y Comunicaciones (Provisional)
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