By Topic

Window-Based Rate Control Approach for 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

3 Author(s)
Carta, M.T. ; Univ. of Cagliari, Cagliari ; Onali, T. ; Atzori, L.

Source-rate control is an important issue in video streaming applications, particularly for wireless networks where channel resources are often shared among a variable number of stations using a contention-based access mechanism. In this context, the resulting throughput available for the video server has been demonstrated to be bursty, which is a feature that makes high-quality video streaming quite difficult. On the basis of this observation, we propose a rate control algorithm that works adjusting the rate on a per-window basis to compensate low-throughput periods with high-throughput periods so as to avoid the "saw" effect that is typically observed in frame-based rate control. The time axis is divided into windows of fixed size and rate changes are introduced only at the beginning of each window with the aim of keeping the probability of playback buffer starvation lower than a desired threshold during the entire current window. To achieve this objective, the algorithm makes use of a short-term prediction of the network delay using historical data. Simulations proved the efficiency of algorithm when controlling the starvation probability while avoiding the introduction of sudden changes in the source rate.

Published in:

Communications, 2007. ICC '07. IEEE International Conference on

Date of Conference:

24-28 June 2007