DocumentCode
2916446
Title
Combined link adaptation and traffic control scheme for MGS H.264/AVC video transmission
Author
Mansour, Hassan ; Fallah, Yaser Pourmohammadi ; Nasiopoulos, Panos ; Krishnamurthy, Vikram
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
fYear
2009
fDate
5-7 July 2009
Firstpage
1
Lastpage
6
Abstract
In this paper, we propose a joint link-adaptation and traffic control algorithm that efficiently allocates network resources to support multiple scalable video users over a capacity constrained wireless channel. Multi-rate networks, such as IEEE 802.16 or IEEE 802.11 use a link adaptation mechanism in the physical layer (PHY) and adjust the coding and modulation schemes to maintain the reliability of transmission under varying channel conditions. We consider Medium Grain Scalable (MGS) H.264/AVC video and employ a traffic control module that selectively drops individual video packets based on the packet dependencies in MGS. We present a framework that jointly optimizes the operation of the link adaptation and packet drop modules to achieve the highest video quality, while satisfying bandwidth/capacity constraints. Performance evaluations show that our proposed framework results in significant gains over existing schemes in terms of average video PSNR that can reach 3 dB in some cases for different channel SNRs and different bandwidth budgets.
Keywords
channel capacity; modulation coding; resource allocation; telecommunication control; telecommunication traffic; video coding; video communication; wireless LAN; wireless channels; MGS H.264-AVC video transmission; link adaptation; medium grain scalable video; modulation scheme; multirate network; network resource allocation; physical layer; traffic control scheme; transmission reliability; video coding; video quality; wireless channel; Automatic voltage control; Bandwidth; Channel capacity; Constraint optimization; Maintenance; Modulation coding; Performance gain; Physical layer; Resource management; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing, 2009 16th International Conference on
Conference_Location
Santorini-Hellas
Print_ISBN
978-1-4244-3297-4
Electronic_ISBN
978-1-4244-3298-1
Type
conf
DOI
10.1109/ICDSP.2009.5201076
Filename
5201076
Link To Document