Cart (Loading....) | Create Account
Close category search window
 

On Distributed Multimedia Scheduling With Constrained Control Channels

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)
Liang Zhou ; Key Lab. of Broadband Wireless Commun. & Sensor Network Technol., Nanjing Univ. of Posts & Telecommun., Nanjing, China ; Hsiao-Hwa Chen

Traditional multimedia scheduling approaches assumed perfect control channels where each node has access to the knowledge of its neighbors. However, in practice the control channels are always constrained and nodes can only exchange limited information with their neighbors. In this paper, we investigate how imperfect neighbor information affects the multimedia scheduling. First, we formulate the optimal multimedia scheduling problem with the constraints on network information. Specifically, a constrained factor is introduced to capture the profile of control channels. Then, we consider two cases of the constrained factor distribution: 1) the class with finite mean and variance, and 2) a general class that does not employ any parametric representation. In each case, we investigate the relationship between the control gain and scheduling performance based on available network and multimedia information. We show that the control gain can be chosen properly such that the optimal distributed multimedia scheduling can be achieved with an exponential convergence rate. In addition, an explicit equation for asymptotic convergence rate is derived for each case. Finally, we use computer simulations to verify the analytical results.

Published in:

Multimedia, IEEE Transactions on  (Volume:13 ,  Issue: 5 )

Date of Publication:

Oct. 2011

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.