Finite-State Markov Modeling of Leaky Waveguide Channels in Communication-based Train Control (CBTC) Systems

TL;DR

This paper develops a finite-state Markov channel model for leaky waveguide communication in CBTC systems, incorporating train location data to improve accuracy based on real field measurements.

Contribution

It introduces a novel FSMC model tailored for leaky waveguide channels in CBTC, considering train positions for enhanced modeling accuracy.

Findings

FSMC model closely matches real measurement data

Model improves channel prediction accuracy in CBTC systems

Incorporating train location enhances model reliability

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.