A Rate-Compatible Low-Density Parity-Check Convolutional Coding Scheme Using Informed Dynamic Scheduling

Huang Chang Lee, Yung Hsiang Su, Yeong Luh Ueng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Low-density parity-check convolutional codes (LDPC-CCs) are generally decoded using sliding- window based message passing decoding. Based on the sliding-window decoding, an informed dynamic scheduling (IDS) for LDPC-CC is proposed in this work, where the decoding convergence can be significantly accelerated. Since the number of processors required for a satisfactory performance can be reduced, the decoder can be simplified. A set of rate-compatible (RC) puncturing patterns is also proposed and is used to construct RC LDPC-CCs for the performance evaluation of the proposed IDS. Although the proposed puncturing pattern cannot be optimized for individual code rate owing to the rate-compatible constraint, they can still provide a comparable error rate performance compared to the codes defined in the IEEE 802.16m standard. It is worth noting that these standard codes are not rate-compatible.

Original languageEnglish
Title of host publication2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509059324
DOIs
StatePublished - 14 11 2017
Event85th IEEE Vehicular Technology Conference, VTC Spring 2017 - Sydney, Australia
Duration: 04 06 201707 06 2017

Publication series

NameIEEE Vehicular Technology Conference
Volume2017-June
ISSN (Print)1550-2252

Conference

Conference85th IEEE Vehicular Technology Conference, VTC Spring 2017
Country/TerritoryAustralia
CitySydney
Period04/06/1707/06/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Informed dynamic scheduling (IDS)
  • Low-density parity-check convolutional codes (LDPC-CCs)
  • Puncturing pattern
  • Ratecompatible (RC)

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