Home > Published Issues > 2021 > Volume 10, No. 6, November 2021 >

Performance and Optimization of Outage Probability in CBTC Systems

Do Viet Ha 1, Tu Lam Thanh 2, Trinh Thi Huong 1, and Trinh Van Chien 3
1. University of Transport and Communications, Hanoi, Vietnam
2. University of Poitiers, Poitiers, France
3. University of Luxembourg, Luxembourg

Abstract—The performance of two Access Points (APs) Communication-Based Train-Control (CBTC) systems subjected to an imperfect channel state information (CSI) scenario is investigated. More precisely, we first model the realistic small-scale fading distribution for which the receiver only has the outdated CSI due to the mobility of the train. We then derive the Outage Probability (OP) of the train and the ergodic capacity of the system in the closed-form expression based on the considered channel model. Additionally, we formulate an optimization problem that minimizes the maximal OP, which corresponds to the location of the train. For such, the signal-to-noise-ratio (SNR) is minimized as a function of the position of two APs. The pattern search method is utilized to solve the considered minimization problem. Numerical results confirm that by the optimal placement of the position of APs, the OP can be significantly ameliorated compared to the other placement methods. Furthermore, the numerical results also illustrate that the proposed solution completely coincides with the exhaustive search but with much less computation time. Finally, the mathematical framework is verified extensively by Monte Carlo simulations.

Index Terms—Outage probability, CBTC, optimal placement, Monte-Carlo simulations, Imperfect CSI

Cite: Do Viet Ha, Tu Lam Thanh, Trinh Thi Huong, and Trinh Van Chien, "Performance and Optimization of Outage Probability in CBTC Systems," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 10, No. 6, pp. 439-447, November 2021. Doi: 10.18178/ijeetc.10.6.439-447

Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.