Measurements and Analysis of Large-Scale Fading Characteristics in Curved Subway Tunnels at 920 MHz, 2400 MHz, and 5705 MHz

• Published in: IEEE transactions on intelligent transportation systems Vol. 16; no. 5; pp. 2393 - 2405
• Main Authors: Ke Guan, Bo Ai, Zhangdui Zhong, Lopez, Carlos F., Lei Zhang, Briso-Rodriguez, Cesar, Hrovat, Andrej, Bei Zhang, Ruisi He, Tao Tang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-10-2015; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antenna measurements; Correlation; Fading; Frequency measurement; Loss measurement; Mathematical model; Propagation; Propagation loss; Propagation losses; propagation measurement; shadow fading; subway tunnel; Subways; shadow fading; Propagation loss; propagation measurement; subway tunnel
• ISSN: 1524-9050; 1558-0016
• DOI: 10.1109/TITS.2015.2404851

Wave propagation characteristics in curved tunnels are of importance for designing reliable communications in subway systems. This paper presents the extensive propagation measurements conducted in two typical types of subway tunnels - traditional arched "Type I" tunnel and modern arched "Type II" tunnel - with 300- and 500-m radii of curvature with different configurations - horizontal and vertical polarizations at 920, 2400, and 5705 MHz, respectively. Based on the measurements, statistical metrics of propagation loss and shadow fading (path-loss exponent, shadow fading distribution, autocorrelation, and crosscorrelation) in all the measurement cases are extracted. Then, the large-scale fading characteristics in the curved subway tunnels are compared with the cases of road and railway tunnels, the other main rail traffic scenarios, and some "typical" scenarios to give a comprehensive insight into the propagation in various scenarios where the intelligent transportation systems are deployed. Moreover, for each of the large-scale fading parameters, extensive analysis and discussions are made to reflect the physical laws behind the observations. The quantitative results and findings are useful to realize intelligent transportation systems in the subway system.