When Do Low-Rate Concatenated Codes Approach The Gilbert-Varshamov Bound?
Dean Doron, Jonathan Mosheiff, Mary Wootters

TL;DR
This paper investigates when low-rate concatenated codes with a single random inner code can approach the Gilbert-Varshamov bound, providing conditions on outer codes that enable this and suggesting directions for explicit code construction.
Contribution
It introduces conditions on outer codes that, combined with a single random inner code, can achieve the GV bound, advancing the understanding of explicit code construction.
Findings
Existence of 'good' linear outer codes for concatenation.
Two sufficient conditions on outer codes for GV bound achievement.
Most linear codes are suitable as outer codes under these conditions.
Abstract
The Gilbert--Varshamov (GV) bound is a classical existential result in coding theory. It implies that a random linear binary code of rate has relative distance at least with high probability. However, it is a major challenge to construct explicit codes with similar parameters. One hope to derandomize the Gilbert--Varshamov construction is with code concatenation: We begin with a (hopefully explicit) outer code over a large alphabet, and concatenate that with a small binary random linear code . It is known that when we use independent small codes for each coordinate, then the result lies on the GV bound with high probability, but this still uses a lot of randomness. In this paper, we consider the question of whether code concatenation with a single random linear inner code can lie on the GV…
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