Paper Info
Title
Cross-layer H.264 scalable video downstream delivery over WLANs
Abstract
Thanks to its in-network drop-based adaptation capabilities, H.264 Scalable Video Coding is perceived as an effective approach for delivering video over networks characterized by sudden large bandwidth fluctuations, such as Wireless LANs. Performance may be boosted by the adoption of application-aware/cross-layer schedulers devised to intelligently drop video data units (NALUs), so that i) decoding dependencies are preserved, and ii) the quality perceived by the end users is maximized. In this paper, we provide a theoretical formulation of a QoE utility-optimal cross-layer scheduling problem for H.264 SVC downlink delivery over WLANs. We show that, because of the unique characteristics of the WLAN MAC operation, this problem significantly differs from related approaches proposed for scheduled wireless technologies, especially when the WLAN carries background traffic in the uplink direction. From these theoretical insights, we derive, design, implement and experimentally assess a simple practical scheduling algorithm, whose performance is very close to the optimal solution.
Year
DOI
Venue
2010
10.1109/WOWMOM.2010.5534890
World of Wireless Mobile and Multimedia Networks
Keywords
Field
DocType
video data unit,simple practical scheduling algorithm,h.264 scalable video coding,cross-layer h.264 scalable video,h.264 svc downlink delivery,theoretical formulation,downstream delivery,wireless lans,theoretical insight,cross-layer schedulers,wlan mac operation,qoe utility-optimal cross-layer scheduling,scalable video coding,scalability,downlink,quality of service,scheduling problem,decoding,scheduling algorithm,psnr
Wireless,Job shop scheduling,Computer science,Scheduling (computing),Quality of service,Computer network,Bandwidth (signal processing),Distributed computing,Scalability,Scalable Video Coding,Telecommunications link
Conference
ISBN
Citations 
PageRank 
978-1-4244-7263-5
5
0.50
References 
Authors
16
7
Name
Order
Citations
PageRank
Giuseppe Bianchi1100984.46
A. Detti254747.83
Pierpaolo Loreti39318.75
Claudio Pisa4234.03
Srisakul Thakolsri516410.67
Wolfgang Kellerer61474157.92
Jörg Widmer73924328.38