Title:

FEC Hybrid Method Based on Reed–Solomon Codes for Transmitting Video Signal Over Limited Bandwidth and High Loss Rate Channels, Journal of Telecommunications and Information Technology, 2026, nr 3

Group publication title:

2026, nr 3, JTIT-artykuły

Creator:

Kaliuzhnyi, Leonid V. ; Rusalovskiy, Viktor B. ; Ishchenko, Artem D. ; Didenko, Vasyl M.

Subject and Keywords:

adaptive forward error correction ; jamming-resistant video ; Reed–Solomon codes ; video streaming

Description:

kwartalnik

Abstrakt:

The paper considers the adaptive forward error correction (FEC) technique for real-time video transmission over a feedback-free channel with limited bandwidth and non-stationary interference. A hybrid Reed-Solomon coding method is proposed in GF(2\textsuperscript{8}), combining differentiated redundancy across specific frame types (I, P, and B), with adaptive code parameter control driven by physical layer channel state estimation. The channel is modeled by a three-state Markov process called Gilbert-Elliott-Jamming (GEJ), in which an explicit jamming state is added to the classical Gilbert-Elliott model. A closed-form expression for the block decoding failure probability under the erasure model is derived, and applicability bounds for representative RS configurations are determined. A redundancy adaptation function with a guaranteed upper bound on overhead is introduced together with a control algorithm. Experiments conducted under four scenarios (stable Wi-Fi, mobile 4G, tactical channel and active jamming) show that the mission success rate increases from 60% for fixed RS and 50% for SRT to 78% under sustained jamming, while the time to first frame decreases from 600 - 1200 ms to 200 ms. The method is implementable on the ESP32-S3 and ARM Cortex-M4 platforms with an encoding throughput of 4 to 8 Mbps.

Volume:

105

Number:

3

Publisher:

National Institute of Telecommunications

Date:

2026, nr 3

Resource Type:

artykuł

DOI:

10.26636/jtit.2026.3.2637

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

License:

CC BY 4.0

rights owner:

Biblioteka Naukowa Instytutu Łączności