
Graduate student
Leiming Qiang
Research Project Title
Joint-Source Channel Matching for Wireless Multimedia Communication
Principal Investigators
Douglas Jones
Naresh Shanbhag
Unit #13
Project Overview
This project will explore a framework for joint optimization of the
parameters of source and channel coders to maximize end-to-end performance
for broadcast and multicast scenarios. Our approach supports a variety of
optimization criteria and constraints, and is universal in the sense that
it can be used to optimally match any source and channel coder to maximize
the overall performance.
The key feature allowing such generality is the use of parametric modeling
of the source rate-distortion characteristics and the channel SNR/redundancy/bit-error-rate
characteristics along with a constrained gradient descent algorithm to determine
the optimal joint operating conditions. On-line estimation and interpolation
of these curves allows this approach to be used with any source and channel
coders at only a modest increase in computation over a fixed system.
An interesting result is that the performance of these relatively simple,
general approaches comes within fractions of a dB of the best reported joint-source-channel-coding
results in the literature, thus suggesting that almost all the benefits
can be obtained with standard source and channel coders and our practical,
efficient matching algorithms. .