A unified ensemble of concatenated convolutional codes

Saeedeh Moloudi; Michael Lentmaier; Alexandre Graell i Amat

doi:10.1109/ISIT.2017.8006483

A unified ensemble of concatenated convolutional codes

Saeedeh Moloudi, Michael Lentmaier, Alexandre Graell i Amat

Chalmers University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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Abstract

We introduce a unified ensemble for turbo-like codes (TCs) that contains the four main classes of TCs: parallel con- catenated codes, serially concatenated codes, hybrid concatenated codes, and braided convolutional codes. We show that for each of the original classes of TCs, it is possible to find an equivalent ensemble by proper selection of the design parameters in the unified ensemble. We also derive the density evolution (DE) equations for this ensemble over the binary erasure channel. The thresholds obtained from the DE indicate that the TC ensembles from the unified ensemble have similar asymptotic behavior to the original TC ensembles.

Original language	English
Title of host publication	IEEE International Symposium on International Symposium on Information Theory (ISIT)
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	26-30
ISBN (Electronic)	978-1-5090-4096-4
DOIs	https://doi.org/10.1109/ISIT.2017.8006483
Publication status	Published - 2017
Event	IEEE International Symposium on Information Theory (ISIT), 2017 - Aachen, Germany Duration: 2017 Jun 25 → 2017 Jun 30

Conference

Conference	IEEE International Symposium on Information Theory (ISIT), 2017
Country/Territory	Germany
City	Aachen
Period	2017/06/25 → 2017/06/30

Subject classification (UKÄ)

Other Electrical Engineering, Electronic Engineering, Information Engineering

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10.1109/ISIT.2017.8006483

ISIT2017_MLDAccepted author manuscript, 369 KB

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title = "A unified ensemble of concatenated convolutional codes",

abstract = "We introduce a unified ensemble for turbo-like codes (TCs) that contains the four main classes of TCs: parallel con- catenated codes, serially concatenated codes, hybrid concatenated codes, and braided convolutional codes. We show that for each of the original classes of TCs, it is possible to find an equivalent ensemble by proper selection of the design parameters in the unified ensemble. We also derive the density evolution (DE) equations for this ensemble over the binary erasure channel. The thresholds obtained from the DE indicate that the TC ensembles from the unified ensemble have similar asymptotic behavior to the original TC ensembles.",

author = "Saeedeh Moloudi and Michael Lentmaier and {Graell i Amat}, Alexandre",

year = "2017",

doi = "10.1109/ISIT.2017.8006483",

language = "English",

pages = "26--30",

booktitle = "IEEE International Symposium on International Symposium on Information Theory (ISIT)",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "IEEE International Symposium on Information Theory (ISIT), 2017 ; Conference date: 25-06-2017 Through 30-06-2017",

}

Moloudi, S, Lentmaier, M & Graell i Amat, A 2017, A unified ensemble of concatenated convolutional codes. in IEEE International Symposium on International Symposium on Information Theory (ISIT). IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 26-30, IEEE International Symposium on Information Theory (ISIT), 2017, Aachen, Germany, 2017/06/25. https://doi.org/10.1109/ISIT.2017.8006483

A unified ensemble of concatenated convolutional codes. / Moloudi, Saeedeh; Lentmaier, Michael; Graell i Amat, Alexandre.
IEEE International Symposium on International Symposium on Information Theory (ISIT). IEEE - Institute of Electrical and Electronics Engineers Inc., 2017. p. 26-30.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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AU - Lentmaier, Michael

AU - Graell i Amat, Alexandre

PY - 2017

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DO - 10.1109/ISIT.2017.8006483

M3 - Paper in conference proceeding

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EP - 30

BT - IEEE International Symposium on International Symposium on Information Theory (ISIT)

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Symposium on Information Theory (ISIT), 2017

Y2 - 25 June 2017 through 30 June 2017

ER -

A unified ensemble of concatenated convolutional codes

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Spatially Coupled Turbo-Like Codes

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