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A unified ensemble of concatenated convolutional codes

Moloudi, Saeedeh LU ; Lentmaier, Michael LU and Graell i Amat, Alexandre (2017) IEEE International Symposium on Information Theory (ISIT), 2017 p.26-30
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.
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
IEEE International Symposium on International Symposium on Information Theory (ISIT)
pages
26 - 30
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Symposium on Information Theory (ISIT), 2017
conference location
Aachen, Germany
conference dates
2017-06-25 - 2017-06-30
external identifiers
  • scopus:85034096324
ISBN
978-1-5090-4096-4
DOI
10.1109/ISIT.2017.8006483
language
English
LU publication?
yes
id
c585ef4c-112d-4d09-9639-bdf527435c40
date added to LUP
2017-09-15 16:24:40
date last changed
2022-02-14 21:59:36
@inproceedings{c585ef4c-112d-4d09-9639-bdf527435c40,
  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       = {{Moloudi, Saeedeh and Lentmaier, Michael and Graell i Amat, Alexandre}},
  booktitle    = {{IEEE International Symposium on International Symposium on Information Theory (ISIT)}},
  isbn         = {{978-1-5090-4096-4}},
  language     = {{eng}},
  pages        = {{26--30}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{A unified ensemble of concatenated convolutional codes}},
  url          = {{https://lup.lub.lu.se/search/files/34115096/ISIT2017_MLD.pdf}},
  doi          = {{10.1109/ISIT.2017.8006483}},
  year         = {{2017}},
}