NDLI: Distributed Irregular Codes Relying on Decode-and-Forward Relays as Code Components

Content Provider	IEEE Xplore Digital Library
Author	Soon Xin Ng Yonghui Li Vucetic, B. Hanzo, L.
Copyright Year	1967
Abstract	A near-capacity distributed coding scheme is conceived by incorporating multiple relay nodes (RNs) for constructing a virtual irregular convolutional code (IRCC). We first compute the relay channel's capacity and then design IRCCs for the source and relay nodes. Extrinsic information transfer (EXIT) charts are utilized to design the codes for approaching the achievable capacity of the relay channels. Additionally, we improve the transmit power efficiency of the overall system by invoking both power allocation and relay selection. We found that even a low-complexity repetition code or a unit-memory convolutional code is capable of forming a near-capacity virtual IRCC. The performance of the proposed distributed IRCC (DIRCC) scheme is shown to be perfectly consistent with that predicted from the EXIT chart. More specifically, the DIRCC scheme is capable of operating within 0.68 dB from the corresponding lower bound of the relay channel capacity, despite the fact that each RN is exposed to realistic decoding errors due to communicating over imperfect source-relay channels.
Sponsorship	IEEE Vehicular Technology Society
Starting Page	4579
Ending Page	4588
Page Count	10
File Size	1405826
File Format	PDF
ISSN	00189545
Volume Number	64
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Relays Decoding Channel capacity Encoding Tin Signal to noise ratio Iterative decoding Relay Selection Cooperative Communications Cooperative Diversity Distributed Coding Irregular Convolutional Codes relay selection Cooperative communications cooperative diversity distributed coding irregular convolutional codes (IRCCs)
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering

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