DocumentCode
1976029
Title
Bandwidth management for mobile media delivery
Author
Mehrotra, Sanjay ; Hua Chen ; Jain, Sonal ; Jin Li ; Baochun Li ; Minghua Chen
Author_Institution
Microsoft Res., Redmond, WA, USA
fYear
2012
fDate
3-7 Dec. 2012
Firstpage
1901
Lastpage
1907
Abstract
Mobile broadband networks using 3G and 4G technologies (such as EV-DO, HSPA, WiMAX, LTE) are rapidly becoming one of the prominent means to access the Internet. Multimedia consumption - requiring low delay, high bandwidth, or a combination of both - is projected to become a large portion of bandwidth utilization in mobile broadband networks. In this paper, we study the fundamental problem of how packet loss and delay vary as a function of the transmission rate over these networks. With extensive real-world measurement studies, we analyze the performance of a number of rate control algorithms commonly used in media transmission. We show that the variable nature of congestion signals (loss and delay) on these networks leads to an ultimate failure of existing rate control strategies to deliver adequate performance for multimedia applications. In addition, we show how a rate control algorithm derived from the utility maximization framework - which uses queuing delay as the primary congestion signal - can be modified to solve the challenging issues we have observed. By using a variable threshold to define when the network is congested, our proposed solution is able to achieve a significant improvement over algorithms that use fixed definitions of congestion.
Keywords
3G mobile communication; 4G mobile communication; Long Term Evolution; WiMax; multimedia communication; optimisation; queueing theory; telecommunication control; 3G technology; 4G technology; EV-DO; HSPA; Internet; LTE; WiMAX; bandwidth management; congestion signals; media transmission; mobile broadband networks; mobile media delivery; multimedia applications; multimedia consumption; primary congestion signal; queuing delay; rate control strategy; real-world measurement; utility maximization;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location
Anaheim, CA
ISSN
1930-529X
Print_ISBN
978-1-4673-0920-2
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2012.6503393
Filename
6503393
Link To Document