Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Stochastic Rate Control for Scalable VBR Video Streaming over Wireless Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Guang Ji ; Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada ; Ben Liang

Video streaming over wireless links is a challenging problem due to both the unreliable, time-varying nature of the wireless channel and the stringent delivery requirements of media traffic. Layered encoded video can be used to improve the system performance by adapting the sending rate for different video frame layers to the varying network and playout situations. In this paper, we study the adaptive control of sending rates for both the base layer and enhancement layer based on feedback information from the wireless receiver. We formulate the problem in a framework of Markov decision processes to minimize a weighted sum of video quality and playout continuity degradation. In order to decrease the computation complexity, we then develop an online greedy algorithm, which only considers the current control time period. Simulation results show that the propose adaptive rate control provides significantly improved video quality and playout smoothness. Furthermore, when rate control is not performed very frequently, the greedy algorithm achieves a video distortion rate nearly matching that of the ideal optimal dynamic programming policy.

Published in:

Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE

Date of Conference:

Nov. 30 2009-Dec. 4 2009