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Article . 2020 . Peer-reviewed
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https://doi.org/10.1109/cama.2...
Article . 2018 . Peer-reviewed
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Joint Source-Channel Decoding for MDC-encoded Sources Transmitted Over Relay Systems

Authors: Zribi, Amin; Matsumoto, Tad;

Joint Source-Channel Decoding for MDC-encoded Sources Transmitted Over Relay Systems

Abstract

This paper presents a new transmission strategy combined with a source and channel coding and decoding method to deliver a source of information to two users requesting different quality-of-service and having different channel states. Source coding operation relies on Multiple Description Coding (MDC) and channel coding uses LDPC codes. To achieve a better quality for the high-quality-requiring user, we consider cooperative communication where another user acts as a relay. We propose a three-dimensions iterative decoding algorithm that exploits the source-relay correlation and the descriptions correlation. We demonstrate how the lossy forwarding process can help the user with bad channel conditions to recover a first quality even at very low source-destination SNRs. If the channel conditions for the second user are fair enough, it is possible to decode the second description, and achieve a very low distortion based on combining the two descriptions. It is also shown that exploiting the residual correlation between the two descriptions can lead to better results especially for medium-to-high SNRs.

Keywords

[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], [SHS.INFO] Humanities and Social Sciences/Library and information sciences

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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