The New Multi-Edge Metric-Constrained PEG/QC-PEG Algorithms for Designing the Binary LDPC Codes With Better Cycle-Structures
Xuan He, Liang Zhou, and Junyi Du

TL;DR
This paper introduces new multi-edge metric-constrained PEG algorithms for designing LDPC codes with improved cycle-structures, enhancing error performance and avoiding undetectable cycles in QC-LDPC codes.
Contribution
It unifies existing PEG algorithms into a metric-constrained framework and proposes multi-edge variants with edge-trials for better cycle-structure optimization.
Findings
Increasing edge-trials improves cycle-structures.
Enhanced error performance observed in simulations.
Effective in avoiding undetectable cycles in QC-LDPC codes.
Abstract
To obtain a better cycle-structure is still a challenge for the low-density parity-check (LDPC) code design. This paper formulates two metrics firstly so that the progressive edge-growth (PEG) algorithm and the approximate cycle extrinsic message degree (ACE) constrained PEG algorithm are unified into one integrated algorithm, called the metric-constrained PEG algorithm (M-PEGA). Then, as an improvement for the M-PEGA, the multi-edge metric-constrained PEG algorithm (MM-PEGA) is proposed based on two new concepts, the multi-edge local girth and the edge-trials. The MM-PEGA with the edge-trials, say a positive integer , is called the -edge M-PEGA, which constructs each edge of the non-quasi-cyclic (non-QC) LDPC code graph through selecting a check node whose -edge local girth is optimal. In addition, to design the QC-LDPC codes with any predefined valid design parameters, as…
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