DocumentCode :
2697116
Title :
Adaptive video compression rate optimization in wireless access networks
Author :
Qiu, Xiaoling ; Liu, Haiping ; Ghosal, Dipak ; Mukherjee, Biswanath ; Benko, John ; Li, Wei ; Bajaj, Rashmi
Author_Institution :
Univ. of California, Davis, CA, USA
fYear :
2009
fDate :
20-23 Oct. 2009
Firstpage :
420
Lastpage :
427
Abstract :
Wireless communication provides network access free of the limitations of wired networks. However, some emerging applications with high bandwidth requirements and delay constraints, such as real-time video-on-demand and IPTV, suffer poor performance due to the high compression rate of video frames and/or high packet loss rate in the wireless access networks. In this paper, we propose a novel optimization algorithm referred to as the network state dependent video compression rate (NSDVCR) algorithm, which determines the compression rates depending on the video characteristics and the network condition. The proposed NSDVCR algorithm is able to achieve optimal video transmission rate for a given network state characterized by packet loss rate. The simulation results of the proposed mechanism show that significant improvement of the video quality measured in terms of peak-signal-to-noise ratio (PSNR), is achieved compared with standard compression mechanisms.
Keywords :
IPTV; data compression; radio access networks; video coding; video on demand; IPTV; adaptive video compression rate optimization; delay constraints; network state dependent video compression rate; optimal video transmission rate; peak-signal-to-noise ratio; real-time video-on-demand; video quality; wireless access networks; wireless communication; Bandwidth; IPTV; Interference; Mesh networks; Performance loss; Streaming media; Telecommunication traffic; Video compression; Wireless mesh networks; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Local Computer Networks, 2009. LCN 2009. IEEE 34th Conference on
Conference_Location :
Zurich
Print_ISBN :
978-1-4244-4488-5
Electronic_ISBN :
978-1-4244-4487-8
Type :
conf
DOI :
10.1109/LCN.2009.5355159
Filename :
5355159
Link To Document :
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