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Thresholds of Braided Convolutional Codes on the AWGN Channel

Farooq, Muhammad Umar LU ; Moloudi, Saeedeh LU and Lentmaier, Michael LU (2018) 2018 IEEE International Symposium on Information Theory, ISIT 2018 2018-June. p.1375-1379
Abstract

In this paper, we perform a threshold analysis of braided convolutional codes on the additive white Gaussian noise (AWGN) channel. The decoding thresholds are estimated by Monte-Carlo density evolution techniques and compared with approximate thresholds from an erasure channel prediction. The results show that, with spatial coupling, the predicted thresholds are very accurate and quickly approach capacity if the coupling memory is increased. For uncoupled ensembles with random puncturing, the prediction can be improved with help of the AWGN threshold of the unpunctured ensemble.

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
2018 IEEE International Symposium on Information Theory, ISIT 2018
volume
2018-June
article number
8437937
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2018 IEEE International Symposium on Information Theory, ISIT 2018
conference location
Vail, United States
conference dates
2018-06-17 - 2018-06-22
external identifiers
  • scopus:85052430460
ISBN
9781538647806
DOI
10.1109/ISIT.2018.8437937
language
English
LU publication?
yes
id
826bf430-efaa-4bd9-83c1-d76414cee7ff
alternative location
https://arxiv.org/pdf/1802.10540.pdf
date added to LUP
2018-10-01 16:27:29
date last changed
2022-05-03 06:17:13
@inproceedings{826bf430-efaa-4bd9-83c1-d76414cee7ff,
  abstract     = {{<p>In this paper, we perform a threshold analysis of braided convolutional codes on the additive white Gaussian noise (AWGN) channel. The decoding thresholds are estimated by Monte-Carlo density evolution techniques and compared with approximate thresholds from an erasure channel prediction. The results show that, with spatial coupling, the predicted thresholds are very accurate and quickly approach capacity if the coupling memory is increased. For uncoupled ensembles with random puncturing, the prediction can be improved with help of the AWGN threshold of the unpunctured ensemble.</p>}},
  author       = {{Farooq, Muhammad Umar and Moloudi, Saeedeh and Lentmaier, Michael}},
  booktitle    = {{2018 IEEE International Symposium on Information Theory, ISIT 2018}},
  isbn         = {{9781538647806}},
  language     = {{eng}},
  month        = {{08}},
  pages        = {{1375--1379}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Thresholds of Braided Convolutional Codes on the AWGN Channel}},
  url          = {{https://lup.lub.lu.se/search/files/76159724/ISIT2018_FinalVersion.pdf}},
  doi          = {{10.1109/ISIT.2018.8437937}},
  volume       = {{2018-June}},
  year         = {{2018}},
}