Analysis of the nature of fluctuations in the channel
speed and the frequency of sharp dips of c/s below
50Mb/s showed that during 1200s, when the train was
moving at a speed of no more than 50 km/h, 22 dips
of c/s occurred with an average duration of 5ms. Each
dip of the c/s is a reaction of the channel decoder to a
decrease in s/n due to slow and fast fading in order to
"soften" the effect of envelope distortions and reduce
the magnitude of the error in character recognition.
This interpretation of deep dips of c/s allowed us to
calculate the value of the probability of dips of
c/s Р
с/𝑠
, namely: Р
𝑐/𝑠
≈9,17⋅10
−5
(IEEE
802.11ax, 2022; Denisov, 2019). Hence, the
magnitude of the error probability calculated
analytically and the estimate obtained statistically
have the sa me order. This indicates the correctness
of the task, the validity of the developed methodology
and the reliability of the results obtained.
4 CONCLUSIONS
1. The proposed method of calculating the quality
of the Wi-Fi channel using the probability of
error allows us to evaluate the capabilities of
wireless technology for technical monitoring in
railway transport.
2. The results of assessing the quality of the Wi-
Fi channel, obtained on the basis of
experimental data and using the developed
methodology, indicate the possibility of using
it to calculate the probability of error.
3. The acceptable values of the error probability
should be evaluated taking into account the
features of monitoring railway transport
facilities, for example, a crossing carried out
using intelligent video surveillance systems
(IVSS).
4. Based on the requirements for the values of the
probabilities of false and correct detection of
dangerous objects at crossings, it is possible to
obtain acceptable values of the probability of
error in the Wi-Fi channel used to transmit
video surveillance information to the train
IVSS recognition device.
REFERENCES
Popov, P., 2020. Development of unmanned technologies in
railway transport, https://habr.com/ru/post/502202/.
IEEE 802.11ax, 2022.
https://ru.wikipedia.org/wiki/IEEE_802.11ax
Denisov, D., 2019. Overview of Wi-Fi technology,
https://nag.ru/material/35534.
MaximaTelecom, 2021. https://maximatelecom.ru/.
Antonov, A., A., Zhuravleva, L., M., Levshunov, V., V.,
Ryzhkov, D., A., 2022. Prospects for the use of wireless
technologies in railway transport. In Automation,
communications, computer science №2.
Zhuravleva, L., M., Levshunov, V., V., Ryzhkov, D., A.,
2022. The system for monitoring the technical
condition of rolling stock using Wi-Fi wireless
communication technology. In International Scientific
and Practical Conference "Railway transport and
technologies (Railway transport and technologies,
RTT-2021) – Russian Federation, Yekaterinburg.
Ratynsky, M., V., 1998. Fundamentals of cellular
communication. Radio and Communications, 248 p.
Gorelov, G., V., Fomin, A., F., Volkov, A., A., 2013.
Theory of signal transmission in railway transport.
FGBOU, 416 p.
Fomin, A., F., 1975. Noise immunity of continuous message
transmission systems. Sov. Radio, 208p.
Wentzel, E., S., Ovcharov, L., A.,1983. Applied problems
of probability theory. Radio and Communications,
414p.