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Stability Analysis of a Dual-Channel Cellular Transmission System for RFID-Based Railway Infrastructure Monitoring: A Continuous-Time Markov Chain Approach

Janibek F. KurbanovDepartment of Radio-Electronic Devices and Systems, Tashkent State Transport University, Tashkent 100167, UzbekistanAbdulaziz T. BotirovTashkent State University of LawBegali TurdialiyevInstitute of Military Aviation, University of Military Security and Defense of the Republic of Uzbekistan, Tashkent 100052, UzbekistanAziz SaitovTashkent State University of LawRashid NasimovDepartment of Artificial Intelligence, Tashkent State University of Economics, Tashkent 100066, Uzbekistan
2026en
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ABI

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In most railway divisions the results of scheduled inspections of automation and telemechanics field devices are still recorded on paper. Such records reach engineering management with a delay, are easy to lose, and are difficult to verify. This paper examines the data transmission core of a digital inspection complex in which passive RFID tags identify both the equipment and the personnel, and the inspection record is delivered to a cloud server over a hybrid cellular architecture combining a failure-prone GSM channel with a reliable CDMA channel. To quantify the stability of such a system, a continuous-time Markov chain model is constructed in which the link is represented as an M/M/2/K queue with one unreliable server: both channels carry traffic in parallel, and during a GSM outage the CDMA channel alone sustains service. Records already admitted are preserved across a channel switch; only records arriving at a full shared buffer are rejected. This residual overflow loss stays below 0.1% at routine load with a buffer of m ≥ 5 and reaches about 2.8% only under post-incident overload. The model parameters were measured on an operating ESP32-based scanner complex piloted at Hamza station on 46 point machines. Calculations for three load scenarios show that increasing the local buffer beyond m = 5 yields diminishing returns while the delay grows, and that resilience is governed primarily by the presence of the redundant channel and adequate buffering, with the primary-channel recovery rate a secondary factor.

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