A Finite-Length Construction of Irregular Spatially-Coupled Codes

06/13/2019
by   Homa Esfahanizadeh, et al.
0

Spatially-coupled (SC) LDPC codes have recently emerged as an excellent choice for error correction in modern data storage and communication systems due to their outstanding performance. It has long been known that irregular graph codes offer performance advantage over their regular counterparts. In this paper, we present a novel combinatorial framework for designing finite-length irregular SC LDPC codes. Our irregular SC codes have the desirable properties of regular SC codes thanks to their structure while offering significant performance benefits that come with the node degree irregularity. Coding constructions proposed in this work contribute to the existing portfolio of finite-length graph code designs.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/03/2022

A Unified Spatially Coupled Code Design: Threshold, Cycles, and Locality

Spatially-Coupled (SC)-LDPC codes are known to have outstanding error-co...
research
02/19/2018

Finite-Length Construction of High Performance Spatially-Coupled Codes via Optimized Partitioning and Lifting

Spatially-coupled (SC) codes are a family of graph-based codes that have...
research
02/21/2018

Design of Irregular SC-LDPC Codes With Non-Uniform Degree Distributions by Linear Programing

In this paper, we propose a new design method of irregular spatially-cou...
research
04/29/2023

Quantum Spatially-Coupled Codes

Spatially-coupled (SC) codes is a class of convolutional LDPC codes that...
research
09/12/2018

Free Pseudodistance Growth Rates for Spatially Coupled LDPC Codes over the BEC

The minimum pseudoweight is an important parameter related to the decodi...
research
03/16/2018

Coding for Channels with SNR Variation: Spatial Coupling and Efficient Interleaving

In magnetic-recording systems, consecutive sections experience different...
research
04/16/2018

Spatially-Coupled Code Design for Partial-Response Channels: Optimal Object-Minimization Approach

Because of their capacity-approaching performance and their complexity/l...

Please sign up or login with your details

Forgot password? Click here to reset