• Home
  • Search
  • Exploiting Locality for Improved Decoding of Binary Cyclic Codes
  • Cite Icon13
  • https://doi.org/10.1109/tcomm.2018.2797988Copy DOI Icon

Exploiting Locality for Improved Decoding of Binary Cyclic Codes

Show More
  • Abstract
  • Literature Map
  • References
  • Citations
  • Similar Papers
Abstract

In this paper, we show how the presence of locality within a binary cyclic code can be exploited to improve decoding performance and to reduce decoding complexity. We pursue two approaches. Under the first approach, we show how the ordered statistics decoding (OSD) method can be modified by inserting a simple single round belief-propagation step at the start that involves only the local codes. The resultant locality-aware OSD algorithm yields an appreciable signal-to-noise ratio (SNR) gain for a given level of reliability and essentially the same level of decoder complexity. Under the second, trellis decoding approach, we show that the careful introduction of locality results in the creation of a cyclic subcode that possesses lower maximum state complexity. In addition, we present a simple means of deriving an upper bound to the state complexity profile of any cyclic code that is based only on the zeros of the code. Furthermore, we show how the decoding speed of either locality-aware OSD or trellis decoding can be significantly increased in the presence of locality, in the moderate-to-high SNR regime, by making the use of a quick-look decoder that often returns the maximum likelihood code word.

Similar Papers
  • Research Article
  • Citations3

A Generalized Parity-Check Transformation for Iterative Soft-Decision Decoding of Binary Cyclic Codes

  • Dec 13, 2019
  • IEEE Communications Letters
  • O. P. Babalola +2
  • Book Chapter
  • Citations19

Algorithm for Assessing the Efficiency of Innovational Technologies of Industrial Enterprises

  • Aug 04, 2019
  • Tatyana O Tolstykh +4
  • Research Article

Assessing the reliability of a surveying and geodetic network based on a Markov model

  • Dec 30, 2024
  • Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu
  • S V Biehichev +3
  • Research Article
  • Citations27

Covering radius computations for binary cyclic codes

  • Sep 01, 1991
  • Mathematics of Computation
  • Randall Dougherty +1
  • PDF
  • Research Article

A Simple Neural-Network-Based Decoder for Short Binary Linear Block Codes

  • Mar 29, 2023
  • Applied Sciences
  • Kunta Hsieh +4
  • Research Article
  • Citations37

Reliability-Based Iterative Decoding of LDPC Codes Using Likelihood Accumulation

  • Aug 01, 2007
  • IEEE Communications Letters
  • Ming Jiang +3
  • Research Article
  • Citations27

Cyclic concatenated codes with constacyclic outer codes

  • May 01, 1992
  • IEEE Transactions on Information Theory
  • J.M Jensen
  • Research Article
  • Citations90

Some Results on Cyclic Codes Over ${F}_{2}+v{F}_{2}$

  • Apr 01, 2010
  • IEEE Transactions on Information Theory
  • Shixin Zhu +2
  • Research Article
  • Citations39

A Low-Complexity Ordered Statistic Decoding of Short Block Codes

  • Feb 01, 2023
  • IEEE Communications Letters
  • Jifan Liang +3
  • Conference Article

On the error probability of wideband spatially correlated coherent MIMO channels

  • Jun 01, 2012
  • Babak Abbasi Bastami +1
  • Research Article
  • Citations1

Optimal Encoding of Binary Cyclic Codes

  • Dec 01, 2006
  • IEICE Transactions on Communications
  • H Chen
  • Book Chapter

On Algebraic Soft Decision Decoding of Cyclic Binary Codes

  • Jan 01, 2001
  • Vladimir B Balakirsky
  • Research Article
  • Citations79

Constacyclic codes over F2+uF2

  • Feb 27, 2009
  • Journal of the Franklin Institute
  • Taher Abualrub +1
  • Conference Article
  • Citations2

PV system reliability: lessons learned from a fleet of 333 systems

  • Sep 08, 2011
  • Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
  • A Kaushik +1
  • Book Chapter
  • Citations1

Design of Special Mobile Structures for the Restoration of Overhead Power Line

  • Jan 01, 2022
  • Nikolai Senkin
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.