FEC Hybrid Method Based on Reed–Solomon Codes for Transmitting Video Signal Over Limited Bandwidth and High Loss Rate Channels
DOI:
https://doi.org/10.26636/jtit.2026.3.2637Keywords:
adaptive forward error correction, jamming-resistant video, Reed–Solomon codes, video streamingAbstract
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.
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[1] Cisco, "Cisco Annual Internet Report (2018-2023)", White Paper, 2020 (https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html).
View in Google Scholar
[2] AppLogic Networks (Sandvine), "Global Internet Phenomena Report 2024", 2024 (https://www.sandvine.com/global-internet-phenomena-report-2024).
View in Google Scholar
[3] T. Wiegand, G.J. Sullivan, G. Bjøntegaard, and A. Luthra, "Overview of the H.264/AVC Video Coding Standard", IEEE Transactions on Circuits and Systems for Video Technology, vol. 13, pp. 560-576, 2003. DOI: https://doi.org/10.1109/TCSVT.2003.815165
View in Google Scholar
[4] G.J. Sullivan, J.-R. Ohm, W.-J. Han, and T. Wiegand, "Overview of the High Efficiency Video Coding (HEVC) standard", IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, pp. 1649-1668, 2012. DOI: https://doi.org/10.1109/TCSVT.2012.2221191
View in Google Scholar
[5] J. Han et al., "A Technical Overview of AV1", Proceedings of the IEEE, vol. 109, pp. 1435-1462, 2021. DOI: https://doi.org/10.1109/JPROC.2021.3058584
View in Google Scholar
[6] Z. Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli, "Image Quality Assessment: from Error Visibility to Structural Similarity", IEEE Transactions on Image Processing, vol. 13, pp. 600-612, 2004. DOI: https://doi.org/10.1109/TIP.2003.819861
View in Google Scholar
[7] Z. Wang and A.C. Bovik, "Mean Squared Error: Love It or Leave It? A New Look at Signal Fidelity Measures", IEEE Signal Processing Magazine, vol. 26, pp. 98-117, 2009. DOI: https://doi.org/10.1109/MSP.2008.930649
View in Google Scholar
[8] R. Rassool, "VMAF Reproducibility: Validating a Perceptual Practical Video Quality Metric", Proc. of IEEE Int. Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Cagliari, Italy, 2017. DOI: https://doi.org/10.1109/BMSB.2017.7986143
View in Google Scholar
[9] T. Stockhammer, M.M. Hannuksela, and T. Wiegand, "H.264/AVC in Wireless Environments", IEEE Transactions on Circuits and Systems for Video Technology, vol. 13, pp. 657-673, 2003. DOI: https://doi.org/10.1109/TCSVT.2003.815167
View in Google Scholar
[10] S. Fu and Y. Zhang, "CRAWDAD Due/packet-delivery Dataset: Packet-delivery and Delay Measurements of a Low-power Wireless Link", IEEE DataPort, 2015 (https://ieee-dataport.org/collections/crawdad).
View in Google Scholar
[11] I.S. Reed and G. Solomon, "Polynomial Codes Over Certain Finite Fields", Journal of the Society for Industrial and Applied Mathematics, vol. 8, pp. 300-304, 1960. DOI: https://doi.org/10.1137/0108018
View in Google Scholar
[12] S.B. Wicker, Error Control Systems for Digital Communication and Storage, Englewood Cliffs, NJ: Prentice Hall, 512 p., 1994 (ISBN 9780132008099).
View in Google Scholar
[13] J.G. Proakis and M. Salehi, Digital Communications, 5th ed., New York: McGraw-Hill, 1150 p., 2007 (ISBN: 9780072957167).
View in Google Scholar
[14] A. Badr, A. Khisti, W.-T. Tan, and J. Apostolopoulos, "Perfecting Protection for Interactive Multimedia: A Survey of Forward Error Correction for Low-delay Interactive Applications", IEEE Signal Processing Magazine, vol. 34, pp. 95-113, 2017. DOI: https://doi.org/10.1109/MSP.2016.2639062
View in Google Scholar
[15] S. Cheng, H. Hu, and X. Zhang, "ABRF: Adaptive BitRate-FEC Joint Control for Real-time Video Streaming", IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, pp. 5212-5226, 2023. DOI: https://doi.org/10.1109/TCSVT.2023.3248164
View in Google Scholar
[16] S. Cheng, H. Hu, X. Zhang, and Z. Guo, "DeepRS: Deep-learning Based Network-adaptive FEC for Real-time Video Communications", 2020 IEEE Int. Symposium on Circuits and Systems (ISCAS), Seville, Spain, 2020. DOI: https://doi.org/10.1109/ISCAS45731.2020.9180974
View in Google Scholar
[17] K. Chen et al., "RL-AFEC: Adaptive Forward Error Correction for Real-time Video Communication based on Reinforcement Learning", Proc. of the 13th ACM Multimedia Systems Conference, pp. 96-108, 2022. DOI: https://doi.org/10.1145/3524273.3528184
View in Google Scholar
[18] I. Lee et al., "R-FEC: RL-based FEC Adjustment for Better QoE in WebRTC", Proc. of the 30th ACM International Conference on Multimedia, pp. 2948-2956, 2022. DOI: https://doi.org/10.1145/3503161.3548370
View in Google Scholar
[19] M. Rudow et al., "Tambur: Efficient Loss Recovery for Videoconferencing via Streaming Codes", Proc. of 20th USENIX Symposium on Networked Systems Design and Implementation, pp. 953-971, 2023 (https://www.usenix.org/conference/nsdi23/presentation/rudow).
View in Google Scholar
[20] S.L. Fong et al., "Low-latency Network-adaptive Error Control for Interactive Streaming", Proc. of the 27th ACM International Conference on Multimedia, pp. 438-446, 2019. DOI: https://doi.org/10.1145/3343031.3350942
View in Google Scholar
[21] M. Palmer et al., "VOXEL: Cross-layer Optimization for Video Streaming with Imperfect Transmission", Proc. of the 17th International Conference on emerging Networking EXperiments and Technologies, pp. 359-374, 2021. DOI: https://doi.org/10.1145/3485983.3494864
View in Google Scholar
[22] Y. Cheng et al., "GRACE: Loss-resilient Real-time Video through Neural Codecs", ArXiv, 2024.
View in Google Scholar
[23] O. Puñal, C. Pereira, A. Aguiar, and J. Gross, "CRAWDAD Dataset Uportorwthaachen/vanetjamming2014: IEEE 802.11p Packet Traces Under Constant, Periodic and Reactive RF Jamming", IEEE DataPort, 2014.
View in Google Scholar
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Copyright (c) 2026 Leonid V. Kaliuzhnyi, Viktor B. Rusalovskiy, Artem D. Ishchenko, Vasyl M. Didenko
This work is licensed under a Creative Commons Attribution 4.0 International License.
