Please use this identifier to cite or link to this item: https://doi.org/10.1109/TIT.2006.887067
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dc.titleGeneralized backward decoding strategies for the relay channel
dc.contributor.authorChong, H.-F.
dc.contributor.authorMotani, M.
dc.contributor.authorGarg, H.K.
dc.date.accessioned2014-06-17T02:50:56Z
dc.date.available2014-06-17T02:50:56Z
dc.date.issued2007-01
dc.identifier.citationChong, H.-F., Motani, M., Garg, H.K. (2007-01). Generalized backward decoding strategies for the relay channel. IEEE Transactions on Information Theory 53 (1) : 394-401. ScholarBank@NUS Repository. https://doi.org/10.1109/TIT.2006.887067
dc.identifier.issn00189448
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/56119
dc.description.abstractThis correspondence studies coding strategies for a three-node relay channel. We start with the basic coding strategies of Cover and El Gamal: the relay decodes the source message and forward it to the destination (cooperation); the relay transmits its compressed channel outputs to the destination (facilitation); or the relay superimposes both cooperation and facilitation (generalized). In this paper, two new generalized strategies superimposing cooperation and facilitation are introduced and investigated on the general relay channel. The first strategy makes use of sequential backward (SeqBack) decoding while the second strategy makes use of simultaneous backward (SimBack) decoding. The achievable rate for the second strategy is shown to include that of the generalized strategy of Cover and El Gamal. Assuming zero-mean, jointly Gaussian random variables, the two new strategies give higher achievable rates than the generalized strategy of Cover and El Gamal for certain parameters on the Gaussian relay channel. © 2007 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TIT.2006.887067
dc.sourceScopus
dc.subjectBackward decoding
dc.subjectCompress-and-forward
dc.subjectDecode-and-forward
dc.subjectRelay channel
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TIT.2006.887067
dc.description.sourcetitleIEEE Transactions on Information Theory
dc.description.volume53
dc.description.issue1
dc.description.page394-401
dc.description.codenIETTA
dc.identifier.isiut000243317600028
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