On the two time scale characteristics of wireless high speed railway networks

Yu, C, Quan, W, Yu, Shui and Zhang, H 2017, On the two time scale characteristics of wireless high speed railway networks, in ICE 2017 : IEEE International Conference on Communications, IEEE, Piscataway, N.J., pp. 4777-4782, doi: 10.1109/ICC.2017.7997095.

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Title On the two time scale characteristics of wireless high speed railway networks
Author(s) Yu, C
Quan, W
Yu, ShuiORCID iD for Yu, Shui orcid.org/0000-0003-4485-6743
Zhang, H
Conference name International Conference on Communications (2017 : Paris, France )
Conference location Paris, France
Conference dates 2017/05/21 - 2017/05/25
Title of proceedings ICE 2017 : IEEE International Conference on Communications
Publication date 2017-07-31
Start page 4777
End page 4782
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Science & Technology
High Speed Railway
Two-Time-Scale Characteristics
Summary © 2017 IEEE. Due to the severe environment along the High-Speed Railway (HSR), it is essential to research an efficient HSR communication system. In our previous work, we collected and analyzed an amount of the first hand dataset of signal intensity in HSR networks. We first observed that the link status variation presented an obvious Two-Time-Scale characteristics. However, that work did not analyze the cause of the Two-Time-Scale characteristics clearly. In this work, we focus on the fundamental cause of the periodic Two-Time-Scale characteristics, and make a lot of in-depth studies on this interesting phenomenon. Furthermore, we rebuild Two-Time-Scale characteristics by leveraging the relationship between the link state variation and the geographical position along HSR lines. In particular, considering the distribution of urban areas and rural ones along the HSR, a periodic distance based small time-scale model and a path-loss based large time-scale model are proposed respectively. Simulation results show the proposed models can perfectly explain the Two-Time-Scale characteristics and predict HSR link quality.
ISBN 9781467389990
ISSN 1550-3607
Language eng
DOI 10.1109/ICC.2017.7997095
HERDC Research category EN Other conference paper
ERA Research output type X Not reportable
Copyright notice ©2017, Institute of Elect rical and Electronics Engineers
Persistent URL http://hdl.handle.net/10536/DRO/DU:30106147

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