Decoder Error Propagation Mitigation for Spatially Coupled LDPC Codes

Min Zhu, David G. M. Mitchell, Michael Lentmaier, Daniel J. Costello, Jr.

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

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.
Original languageEnglish
Title of host publicationInternational Symposium on Information Theory and Its Applications, ISITA 2020
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages175-179
ISBN (Electronic)978-4-88552-330-4
ISBN (Print)978-1-7281-2855-9
Publication statusPublished - 2021
EventInternational Symposium on Information Theory and Its Applications (ISITA 2020) - Kapolei, Hawaii, United States
Duration: 2020 Oct 242020 Oct 27

Conference

ConferenceInternational Symposium on Information Theory and Its Applications (ISITA 2020)
Abbreviated titleISITA
Country/TerritoryUnited States
CityKapolei, Hawaii
Period2020/10/242020/10/27

Subject classification (UKÄ)

  • Telecommunications

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