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Distributed irregular codes relying on decode-and-forward relays as code components

Distributed irregular codes relying on decode-and-forward relays as code components
Distributed irregular codes relying on decode-and-forward relays as code components
A near-capacity distributed coding scheme is conceived by incorporating multiple relay nodes 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 relay node is exposed to realistic decoding errors due to communicating over imperfect source-relay channels.
0018-9545
4579-4588
Ng, Soon Xin
e19a63b0-0f12-4591-ab5f-554820d5f78c
Li, Yonghui
3065a1c4-56db-4883-89c2-37b72b48f678
Vucetic, Branka
46b48899-92c1-4fa9-91ab-b6f6a2c7cb83
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Ng, Soon Xin
e19a63b0-0f12-4591-ab5f-554820d5f78c
Li, Yonghui
3065a1c4-56db-4883-89c2-37b72b48f678
Vucetic, Branka
46b48899-92c1-4fa9-91ab-b6f6a2c7cb83
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Ng, Soon Xin, Li, Yonghui, Vucetic, Branka and Hanzo, Lajos (2015) Distributed irregular codes relying on decode-and-forward relays as code components. IEEE Transactions on Vehicular Technology, 64 (10), 4579-4588. (doi:10.1109/TVT.2014.2370737).

Record type: Article

Abstract

A near-capacity distributed coding scheme is conceived by incorporating multiple relay nodes 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 relay node is exposed to realistic decoding errors due to communicating over imperfect source-relay channels.

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Accepted/In Press date: 10 November 2014
e-pub ahead of print date: 5 December 2014
Published date: October 2015

Identifiers

Local EPrints ID: 372407
URI: http://eprints.soton.ac.uk/id/eprint/372407
ISSN: 0018-9545
PURE UUID: 39455938-fd02-45f8-904f-fe3ddc8f5154
ORCID for Soon Xin Ng: ORCID iD orcid.org/0000-0002-0930-7194
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 10 Dec 2014 14:01
Last modified: 18 Feb 2021 16:50

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Contributors

Author: Soon Xin Ng ORCID iD
Author: Yonghui Li
Author: Branka Vucetic
Author: Lajos Hanzo ORCID iD

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