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Decoder Error Propagation Mitigation for Spatially Coupled LDPC Codes

Zhu, Min ; Mitchell, David G. M. ; Lentmaier, Michael LU and Costello, Jr., Daniel J. (2021) International Symposium on Information Theory and Its Applications (ISITA 2020) p.175-179
Abstract
In this paper, we introduce two new methods of mit- igating decoder error propagation for low-latency sliding window decoding (SWD) of spatially coupled low-density parity-check (SC- LDPC) codes. Building on the recently introduced idea of check node (CN) doping of regular SC-LDPC codes, here we employ variable node (VN) doping to fix (set to a known value) a subset of variable nodes in the coupling chain. Both of these doping methods have the effect of allowing SWD to recover from error propagation, at a cost of a slight rate loss. Experimental results show that, similar to CN doping, VN doping improves performance by up to two orders of magnitude compared to un-doped SC-LDPC codes in the typical signal-to-noise ratio operating range.... (More)
In this paper, we introduce two new methods of mit- igating decoder error propagation for low-latency sliding window decoding (SWD) of spatially coupled low-density parity-check (SC- LDPC) codes. Building on the recently introduced idea of check node (CN) doping of regular SC-LDPC codes, here we employ variable node (VN) doping to fix (set to a known value) a subset of variable nodes in the coupling chain. Both of these doping methods have the effect of allowing SWD to recover from error propagation, at a cost of a slight rate loss. Experimental results show that, similar to CN doping, VN doping improves performance by up to two orders of magnitude compared to un-doped SC-LDPC codes in the typical signal-to-noise ratio operating range. Further, compared to CN doping, VN doping has the advantage of not requiring any changes to the decoding process. In addition, a log- likelihood-ratio based window extension algorithm is proposed to reduce the effect of error propagation. Using this approach, we show that decoding latency can be reduced by up to a significant fraction without suffering any loss in performance. (Less)
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author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
International Symposium on Information Theory and Its Applications, ISITA 2020
pages
175 - 179
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
International Symposium on Information Theory and Its Applications (ISITA 2020)
conference location
Kapolei, Hawaii, United States
conference dates
2020-10-24 - 2020-10-27
ISBN
978-4-88552-330-4
978-1-7281-2855-9
language
English
LU publication?
yes
id
201dd1c8-6ab7-4e7e-bba1-36a2d3872ea7
alternative location
https://ieeexplore.ieee.org/document/9366183
date added to LUP
2020-07-30 17:47:11
date last changed
2021-03-17 12:42:38
@inproceedings{201dd1c8-6ab7-4e7e-bba1-36a2d3872ea7,
  abstract     = {{In this paper, we introduce two new methods of mit- igating decoder error propagation for low-latency sliding window decoding (SWD) of spatially coupled low-density parity-check (SC- LDPC) codes. Building on the recently introduced idea of check node (CN) doping of regular SC-LDPC codes, here we employ variable node (VN) doping to fix (set to a known value) a subset of variable nodes in the coupling chain. Both of these doping methods have the effect of allowing SWD to recover from error propagation, at a cost of a slight rate loss. Experimental results show that, similar to CN doping, VN doping improves performance by up to two orders of magnitude compared to un-doped SC-LDPC codes in the typical signal-to-noise ratio operating range. Further, compared to CN doping, VN doping has the advantage of not requiring any changes to the decoding process. In addition, a log- likelihood-ratio based window extension algorithm is proposed to reduce the effect of error propagation. Using this approach, we show that decoding latency can be reduced by up to a significant fraction without suffering any loss in performance.}},
  author       = {{Zhu, Min and Mitchell, David G. M. and Lentmaier, Michael and Costello, Jr., Daniel J.}},
  booktitle    = {{International Symposium on Information Theory and Its Applications, ISITA 2020}},
  isbn         = {{978-4-88552-330-4}},
  language     = {{eng}},
  pages        = {{175--179}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Decoder Error Propagation Mitigation for Spatially Coupled LDPC Codes}},
  url          = {{https://ieeexplore.ieee.org/document/9366183}},
  year         = {{2021}},
}