DocumentCode :
2106007
Title :
Adaptive FEC Algorithm Based on Prediction of Video Quality and Bandwidth Utilization Ratio
Author :
Feng, Jiao ; Xuefen, Chi ; Li, Peng ; Yining, Wang ; Guan, Lin
Author_Institution :
Dept. of Commun. Eng., Jilin Univ., Changchun
fYear :
2009
fDate :
26-29 May 2009
Firstpage :
182
Lastpage :
188
Abstract :
This paper proposes a channel error adaptive FEC algorithm to balance the conflict between the QoS of video transmission and the bandwidth utilization ratio in wireless IP networks. Two analytic models are derived, one is playable frame rate in MPEG video stream, another is effective utilization ratio of FEC. Based on these analytic models, quality of video stream and effective utilization ratio of FEC under different network conditions (presented by packet loss probability in this paper) are predicted. Then optimal amount of redundant packets is calculated and decided, which makes both the quality of video stream and the effective utilization ratio of FEC approximate their maximum. The simulation results show that the proposed algorithm improves system performance in both the QoS of wireless video transmission and the utilization of bandwidth.
Keywords :
IP networks; adaptive codes; bandwidth allocation; channel coding; forward error correction; probability; quality of service; radio networks; video coding; video streaming; MPEG video stream; QoS; bandwidth utilization ratio; channel error adaptive FEC algorithm; forward error correction; packet loss probability; video quality prediction; wireless IP network; wireless video transmission; Bandwidth; Cities and towns; Error correction; Fluctuations; Forward error correction; IP networks; Prediction algorithms; Quality of service; Streaming media; Wireless networks; adaptive FEC; error control; playable frame rate; video; wireless;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications, 2009. AINA '09. International Conference on
Conference_Location :
Bradford
ISSN :
1550-445X
Print_ISBN :
978-1-4244-4000-9
Electronic_ISBN :
1550-445X
Type :
conf
DOI :
10.1109/AINA.2009.85
Filename :
5076197
Link To Document :
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