NDLI: Multiple description coding based compress-and-forward for the broadcast relay channel

Content Provider	IEEE Xplore Digital Library
Author	Yildirim, S.A. Yuksel, M.
Copyright Year	2012
Description	Author affiliation: Department of Electrical and Electronics Engineering, Hacettepe University, Ankara, Turkey (Yildirim, S.A.) \|\| Department of Electrical and Electronics Engineering, TOBB University of Economics and Technology, Ankara, Turkey (Yuksel, M.)
Abstract	In this work, the broadcast relay channel (BRC) with one source, two destinations and a dedicated relay node is studied for both discrete memoryless and Gaussian channels. Unlike all the existing achievability schemes, which use decode-and-forward (DF) relaying for the BRC, the new achievability schemes are based on compress-and-forward (CF). Three different compression methods are proposed: naive, joint and multiple description coding based. In naive CF (nCF) and joint CF (jCF), the relay forms a single representation, conveying its observation to both destinations at a single quality level. On the other hand, in multiple description coding based CF (mdCF), the relay utilizes multiple description coding and forms two representations, which allows for the two destinations to receive the relay observation at different quality levels. Through Gaussian examples, it is observed that mdCF enlarges nCF and jCF rate regions. Moreover, mdCF is the only scheme, which can achieve both of the single user CF rates achievable in the constituent single user relay channels.
Starting Page	194
Ending Page	198
File Size	136344
Page Count	5
File Format	PDF
ISBN	9781467325806
ISSN	21578117
e-ISBN	9781467325790
e-ISBN	9781467325783
DOI	10.1109/ISIT.2012.6283639
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Relays Encoding Joints Decoding Nickel Markov processes Noise
Content Type	Text
Resource Type	Article

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