By Topic

Optimization of the end-to-end distortion of a Gaussian source in layered broadcast transmission

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)
Jing Wang ; Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada ; Jie Liang

In this paper, we consider the transmission of a Gaussian signal over a slow fading channel. The channel state information is assumed to be only known at the receiver. The source is layer-coded and transmitted using the broadcast strategy. We are interested in the optimization problem of minimizing the expected end-to-end distortion of the reconstructed signal at the receiver. An efficient iterative algorithm is proposed to jointly solve the rate allocation problem and the channel discretization problem. Numerical results show that the proposed algorithm outperforms the schemes using fixed channel discretization by a large margin. Meanwhile, the computational cost of our method is lower than those of the joint optimization approaches that involve partial exhaustive search.

Published in:

Communications (QBSC), 2010 25th Biennial Symposium on

Date of Conference:

12-14 May 2010