Thresholds of Braided Convolutional Codes on the AWGN Channel
(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:
https://lup.lub.lu.se/record/826bf430-efaa-4bd9-83c1-d76414cee7ff
- author
- Farooq, Muhammad Umar LU ; Moloudi, Saeedeh LU and Lentmaier, Michael LU
- organization
- publishing date
- 2018-08-15
- 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}}, }