Thresholds of Braided Convolutional Codes on the AWGN Channel

Muhammad Umar Farooq; Saeedeh Moloudi; Michael Lentmaier

doi:10.1109/ISIT.2018.8437937

Thresholds of Braided Convolutional Codes on the AWGN Channel

Muhammad Umar Farooq, Saeedeh Moloudi, Michael Lentmaier

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

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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.

Original language	English
Title of host publication	2018 IEEE International Symposium on Information Theory, ISIT 2018
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	1375-1379
Number of pages	5
Volume	2018-June
ISBN (Print)	9781538647806
DOIs	https://doi.org/10.1109/ISIT.2018.8437937
Publication status	Published - 2018 Aug 15
Event	2018 IEEE International Symposium on Information Theory, ISIT 2018 - Vail, United States Duration: 2018 Jun 17 → 2018 Jun 22

Conference

Conference	2018 IEEE International Symposium on Information Theory, ISIT 2018
Country/Territory	United States
City	Vail
Period	2018/06/17 → 2018/06/22

Subject classification (UKÄ)

Probability Theory and Statistics

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10.1109/ISIT.2018.8437937

FML_ISIT2018Accepted author manuscript, 457 KB

https://arxiv.org/pdf/1802.10540.pdf

Cite this

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title = "Thresholds of Braided Convolutional Codes on the AWGN Channel",

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.",

author = "Farooq, {Muhammad Umar} and Saeedeh Moloudi and Michael Lentmaier",

year = "2018",

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language = "English",

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volume = "2018-June",

pages = "1375--1379",

booktitle = "2018 IEEE International Symposium on Information Theory, ISIT 2018",

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

address = "United States",

note = "2018 IEEE International Symposium on Information Theory, ISIT 2018 ; Conference date: 17-06-2018 Through 22-06-2018",

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Farooq, MU, Moloudi, S & Lentmaier, M 2018, Thresholds of Braided Convolutional Codes on the AWGN Channel. in 2018 IEEE International Symposium on Information Theory, ISIT 2018. vol. 2018-June, 8437937, IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 1375-1379, 2018 IEEE International Symposium on Information Theory, ISIT 2018, Vail, United States, 2018/06/17. https://doi.org/10.1109/ISIT.2018.8437937

Thresholds of Braided Convolutional Codes on the AWGN Channel. / Farooq, Muhammad Umar; Moloudi, Saeedeh; Lentmaier, Michael.
2018 IEEE International Symposium on Information Theory, ISIT 2018. Vol. 2018-June IEEE - Institute of Electrical and Electronics Engineers Inc., 2018. p. 1375-1379 8437937.

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

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T1 - Thresholds of Braided Convolutional Codes on the AWGN Channel

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AU - Lentmaier, Michael

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AB - 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.

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Thresholds of Braided Convolutional Codes on the AWGN Channel

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