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Rate Adaptation for Slepian-Wolf Coding in Presence of Uncertain Side Information

Authors:
Reza Parseh
Farshad Lahouti

Keywords: Slepian-Wolf coding; rate adaptation; uncertain side information; rate-limited feedback channel

Abstract:
In this paper, a rate adaptation framework is proposed to address the problem of Slepian-Wolf coding with uncertain side information at the encoder. The uncertainty arises due to the time-varying nature of the correlation between source and side information in settings such as wireless sensor networks and distributed video coding. The proposed framework is set up based on a multi-mode Slepian-Wolf coding scheme which is designed to minimize the average rate. The presented solution utilizes the feedback channel judiciously to select the best encoder mode and substantially reduces the delay and decoding complexity compared to the previous methods which rely on frequent retransmissions for successful decoding. The designs based on both practical and ideal Slepian-Wolf codes are considered, where the latter serves as the corresponding theoretical performance bound. Simulation results based on LDPC codes show that by using sufficient number of modes, a desirably small average rate gap from the theoretical bound with no uncertainty can be achieved.

Pages: 249 to 254

Copyright: Copyright (c) IARIA, 2011

Publication date: August 21, 2011

Published in: conference

ISSN: 2308-4405

ISBN: 978-1-61208-144-1

Location: Nice/Saint Laurent du Var, France

Dates: from August 21, 2011 to August 27, 2011