Kovalenko's Full-Rank Limit and Overhead as Lower Bounds for Error-Performances of LDPC and LT Codes over Binary Erasure Channels
Ki-Moon Lee, Hayder Radha, and Beom-Jin Kim

TL;DR
This paper establishes Kovalenko's full-rank limit as a precise lower bound for decoding error probabilities and overheads in LDPC and LT codes over binary erasure channels, providing theoretical benchmarks.
Contribution
It introduces Kovalenko's full-rank limit as a new theoretical lower bound for error performance and overhead in LDPC and LT codes over BEC.
Findings
Kovalenko's limit is a tight lower bound for decoding error probability.
Derived a full-rank overhead as a lower bound for successful decoding.
Provides theoretical benchmarks for code performance over BEC.
Abstract
We present Kovalenko's full-rank limit as a tight lower bound for decoding error probability of LDPC codes and LT codes over BEC. From the limit, we derive a full-rank overhead as a lower bound for stable overheads for successful maximum-likelihood decoding of the codes.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
