The Stability of Low-Density Parity-Check Codes and Some of Its Consequences

09/18/2020
by   Wei Liu, et al.
0

We study the stability of low-density parity-check (LDPC) codes under blockwise or bitwise maximum a posteriori (MAP) decoding, where transmission takes place over a binary-input memoryless output-symmetric channel. Our study stems from the consideration of constructing universal capacity-achieving codes under low-complexity decoding algorithms, where universality refers to the fact that we are considering a family of channels with equal capacity. Consider, e.g., the right-regular sequence by Shokrollahi and the heavy-tail Poisson sequence by Luby et al. Both sequences are provably capacity-achieving under belief propagation (BP) decoding when transmission takes place over the binary erasure channel (BEC). In this paper we show that many existing capacity-achieving sequences of LDPC codes are not universal under BP decoding. We reveal that the key to showing this non-universality result is determined by the stability of the underlying codes. More concretely, for an ordered and complete channel family and a sequence of LDPC code ensembles, we determine a stability threshold associated with them, which further gives rise to a sufficient condition such that the sequence is not universal under BP decoding. Furthermore, we show that the same stability threshold applies to blockwise or bitwise MAP decoding as well. We present how stability can determine an upper bound on the corresponding blockwise or bitwise MAP threshold, revealing the operational significance of the stability threshold.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/10/2021

EBP-GEXIT Charts for M-ary AWGN Channel for Generalized LDPC and Turbo Codes

This work proposes a tractable estimation of the maximum a posteriori (M...
research
03/24/2023

An Optimization Model for Offline Scheduling Policy of Low-density Parity-check Codes

In this study, an optimization model for offline scheduling policy of lo...
research
07/16/2020

Maximum-Likelihood Channel Decoding with Quantum Annealing Machine

We formulate maximum likelihood (ML) channel decoding as a quadratic unc...
research
11/30/2022

Improving the Thresholds of Generalized LDPC Codes with Convolutional Code Constraints

CC-GLPDC codes are a class of generalized low-density parity-check (GLDP...
research
04/15/2020

On Cyclic Polar Codes and The Burst Erasure Performance of Spatially-Coupled LDPC Codes

Polar codes were introduced in 2009 and proven to achieve the symmetric ...
research
07/26/2023

Reinforcement Learning for Sequential Decoding of Generalized LDPC Codes

In this work, we propose reinforcement learning (RL) for sequential deco...
research
09/06/2018

Deep Learning-Based Decoding for Constrained Sequence Codes

Constrained sequence codes have been widely used in modern communication...

Please sign up or login with your details

Forgot password? Click here to reset