Adaptive Hybrid Forward Error Correction Coding Scheme for Video Transmission

doi:10.12142/ZTECOM.202402011

ZTE Communications ›› 2024, Vol. 22 ›› Issue (2): 85-93.DOI: 10.12142/ZTECOM.202402011

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Adaptive Hybrid Forward Error Correction Coding Scheme for Video Transmission

XIONG Yuhui¹, LIU Zhilong², XU Lingmin², HUA Xinhai², WANG Zhaoyang¹, BI Ting¹(), JIANG Tao¹

^1.Huazhong University of Science and Technology, Wuhan 430074, China
^2.ZTE Corporation, Shenzhen 518057, China

Received:2023-07-22 Online:2024-06-28 Published:2024-06-25
About author:XIONG Yuhui is pursuing his master degree at the Research Center of 6G Mobile Communications, School of Cyber Science and Engineering and School of Electronic Information and Communications, Huazhong University of Science and Technology, China. His research interests include multimedia transmission technology and cell-free massive MIMO.
LIU Zhilong is currently the cloud video system chief planning engineer of ZTE Corporation. His main research directions are multimedia transmission technology, SRTN products, cloud desktop products and remote secure office solutions.
XU Lingmin is currently the cloud video product chief planning engineer of ZTE Corporation. His main research directions are cloud computing, IP-based multimedia transmission technology, IPTV/OTT products, cloud desktop products and remote secure office solutions.
HUA Xinhai is currently the Vice President of ZTE Corporation and general manager of the cloud video product project. His main research directions are cloud computing, IP-based video product technology and solutions, security solutions of video service, technology and product solutions of content distribution network, etc.
WANG Zhaoyang is pursuing his PhD degree at the Research Center of 6G Mobile Communications, School of Cyber Science and Engineering and School of Electronic Information and Communications, Huazhong University of Science and Technology, China. His research interests include multimedia transmission technology and cell-free massive MIMO.
BI Ting (ting.bi@ieee.org) is currently an associate professor with the Research Center of 6G Mobile Communications and School of Cyber Science and Engineering, Huazhong University of Science and Technology, China. He received the BE degree in software engineering from Wuhan University, China in 2010, and the ME and PhD degrees in telecommunications from Dublin City University, Ireland in 2011 and 2017, respectively. His research interests include mobile and wireless communications, multimedia and multi-sensory media streaming.
JIANG Tao is currently a Distinguished Professor with the Research Center of 6G Mobile Communications and School of Cyber Science and Engineering, Huazhong University of Science and Technology, China. He received a PhD degree in information and communication engineering from Huazhong University of Science and Technology in 2004. He is/was a symposium technical program committee membership of some major IEEE conferences, including INFOCOM, GLOBECOM, and ICC. He was invited to serve as a TPC Chair for IEEE GLOBECOM 2013, IEEE WCNC 2013, and ICCC 2013. He is/was an associate editor of some technical journals in communications, including the IEEE Network, IEEE Transactions on Signal Processing, IEEE Communications Surveys and Tutorials, IEEE Transactions on Vehicular Technology, and he is the area editor of IEEE Internet of Things Journal and associate editor-in-chief of China Communications.

Abstract

Abstract:

This paper proposes an adaptive hybrid forward error correction (AH-FEC) coding scheme for coping with dynamic packet loss events in video and audio transmission. Specifically, the proposed scheme consists of a hybrid Reed-Solomon and low-density parity-check (RS-LDPC) coding system, combined with a Kalman filter-based adaptive algorithm. The hybrid RS-LDPC coding accommodates a wide range of code length requirements, employing RS coding for short codes and LDPC coding for medium-long codes. We delimit the short and medium-length codes by coding performance so that both codes remain in the optimal region. Additionally, a Kalman filter-based adaptive algorithm has been developed to handle dynamic alterations in a packet loss rate. The Kalman filter estimates packet loss rate utilizing observation data and system models, and then we establish the redundancy decision module through receiver feedback. As a result, the lost packets can be perfectly recovered by the receiver based on the redundant packets. Experimental results show that the proposed method enhances the decoding performance significantly under the same redundancy and channel packet loss.

Key words: video transmission, packet loss, Reed-Solomon code, Kalman filter

XIONG Yuhui, LIU Zhilong, XU Lingmin, HUA Xinhai, WANG Zhaoyang, BI Ting, JIANG Tao. Adaptive Hybrid Forward Error Correction Coding Scheme for Video Transmission[J]. ZTE Communications, 2024, 22(2): 85-93.

Figures/Tables 8

Table 1 Parameter values for different packets loss ratio ranges

Parameter	$P G B (p)$	$P B G (r)$	$k$	$h$	$P E$	Range
Value	0.130	0.910	0.970	0.030	0.114	(0.050, 0.200)
	0.360	0.840	0.980	0.050	0.299	(0.200, 0.400)
	0.900	0.600	0.980	0.020	0.596	(0.400, 0.800)

Table 1 Parameter values for different packets loss ratio ranges

Parameter	$P G B (p)$	$P B G (r)$	$k$	$h$	$P E$	Range
Value	0.130	0.910	0.970	0.030	0.114	(0.050, 0.200)
	0.360	0.840	0.980	0.050	0.299	(0.200, 0.400)
	0.900	0.600	0.980	0.020	0.596	(0.400, 0.800)

Table 2 Performance comparison of two adaptive FEC methods in different packet loss rates (a) Packet loss ratio: 5%–20%

	WebRTC	AH-FEC
Data recovery ratio	98.20%	96.49%
Redundancy ratio	95.89%	32.18%

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Adaptive Hybrid Forward Error Correction Coding Scheme for Video Transmission

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