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Capacity of a Class of State-Dependent Orthogonal Relay Channels

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Title: Capacity of a Class of State-Dependent Orthogonal Relay Channels
Authors: Aguerri, IE
Gunduz, D
Item Type: Journal Article
Abstract: The class of orthogonal relay channels in which the orthogonal channels connecting the source terminal to the relay and the destination, and the relay to the destination, depend on a state sequence, is considered. It is assumed that the state sequence is fully known at the destination, while it is not known at the source or the relay. The capacity of this class of relay channels is characterized, and shown to be achieved by the partial decode-compress-and-forward (pDCF) scheme. Then, the capacity of certain binary and Gaussian state-dependent orthogonal relay channels are studied in detail, and it is shown that the compress-and-forward (CF) and partial-decode-and-forward (pDF) schemes are suboptimal in general. To the best of our knowledge, this is the first single relay channel model for which the capacity is achieved by pDCF, while pDF and CF schemes are both suboptimal. Furthermore, it is shown that the capacity of the considered class of state-dependent orthogonal relay channels is in general below the cut-set bound. The conditions under which pDF or CF suffices to meet the cut-set bound, and hence, achieve the capacity, are also derived.
Issue Date: 12-Feb-2016
Date of Acceptance: 29-Nov-2015
URI: http://hdl.handle.net/10044/1/38948
DOI: https://dx.doi.org/10.1109/TIT.2016.2514343
ISSN: 1557-9654
Publisher: IEEE
Start Page: 1280
End Page: 1295
Journal / Book Title: IEEE Transactions on Information Theory
Volume: 62
Issue: 3
Copyright Statement: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Computer Science
Engineering
Capacity
channels with state
relay channel
decode-and-forward
compress-and-forward
partial decode-compress-and forward
ENTROPY
Networking & Telecommunications
0801 Artificial Intelligence And Image Processing
0906 Electrical And Electronic Engineering
1005 Communications Technologies
Publication Status: Published
Appears in Collections:Electrical and Electronic Engineering
Faculty of Engineering