DocumentCode :
86607
Title :
Finite-State Markov Modeling of Leaky Waveguide Channels in Communication-Based Train Control (CBTC) Systems
Author :
Hongwei Wang ; Yu, F. Richard ; Li Zhu ; Tao Tang ; Bin Ning
Author_Institution :
State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
Volume :
17
Issue :
7
fYear :
2013
fDate :
Jul-13
Firstpage :
1408
Lastpage :
1411
Abstract :
Leaky waveguide has been adopted in communication based train control (CBTC) systems, as it can significantly enhance railway network efficiency, safety and capacity. Since CBTC systems have high requirements for the train ground communications, modeling the leaky waveguide channels is very important to design the wireless networks and evaluate the performance of CBTC systems. In the letter, we develop a finite-state Markov channel (FSMC) model for leaky waveguide channels in CBTC systems based on real field channel measurements obtained from a business operating subway line. The proposed FSMC channel model takes train locations into account to have a more accurate channel model. The overall leaky waveguide is divided into intervals, and an FSMC model is applied in each interval. The accuracy of the proposed FSMC model is illustrated by the simulation results generated from the model and the real field measurement results.
Keywords :
Markov processes; radio networks; railway communication; railway safety; CBTC system; FSMC model; communication-based train control system; finite-state Markov channel model; leaky waveguide channel; performance evaluation; railway network capacity; railway network efficiency; railway network safety; real field channel measurement; train ground communication; wireless network; Accuracy; Antenna measurements; Channel models; Data models; Electromagnetic waveguides; Markov processes; Signal to noise ratio; CBTC; FSMC; WLAN; leaky waveguide;
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2013.052413.130792
Filename :
6522949
Link To Document :
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