Combinatorial list-decoding of Reed-Solomon codes beyond the Johnson radius
Chong Shangguan, Itzhak Tamo

TL;DR
This paper advances the understanding of Reed-Solomon code list-decoding beyond the Johnson radius by establishing a combinatorial framework, proving bounds, and providing explicit constructions for such codes.
Contribution
It introduces a combinatorial approach to determine the relation between decoding radius and list size, proving a generalized Singleton bound and constructing explicit codes beyond the Johnson radius.
Findings
Most RS codes over large fields are list-decodable beyond the Johnson radius.
The paper proves the conjecture for list sizes 2 and 3.
Most RS codes with rate at least 1/9 can be list-decoded beyond the Johnson radius.
Abstract
List-decoding of Reed-Solomon (RS) codes beyond the so called Johnson radius has been one of the main open questions since the work of Guruswami and Sudan. It is now known by the work of Rudra and Wootters, using techniques from high dimensional probability, that over large enough alphabets most RS codes are indeed list-decodable beyond this radius. In this paper we take a more combinatorial approach which allows us to determine the precise relation (up to the exact constant) between the decoding radius and the list size. We prove a generalized Singleton bound for a given list size, and conjecture that the bound is tight for most RS codes over large enough finite fields. We also show that the conjecture holds true for list sizes , and as a by product show that most RS codes with a rate of at least are list-decodable beyond the Johnson radius. Lastly, we give the…
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.
Taxonomy
TopicsCoding theory and cryptography · graph theory and CDMA systems · Cooperative Communication and Network Coding
