Random Gabidulin Codes Achieve List Decoding Capacity in the Rank Metric
Zeyu Guo, Chaoping Xing, Chen Yuan, Zihan Zhang

TL;DR
This paper proves that random Gabidulin codes over large alphabets can achieve list decoding capacity in the rank metric, resolving a long-standing open problem and extending the understanding of their decodability.
Contribution
It introduces the study of higher order MRD codes, develops a unified theory, and proves a GM-MRD theorem showing optimal list decoding capacity for Gabidulin codes.
Findings
Random Gabidulin codes attain the generalized Singleton bound for list decoding.
They achieve list decoding capacity in the rank metric.
The work introduces the concept of higher order MRD codes and a new GM-MRD theorem.
Abstract
Gabidulin codes, serving as the rank-metric counterpart of Reed-Solomon codes, constitute an important class of maximum rank distance (MRD) codes. However, unlike the fruitful positive results about the list decoding of Reed-Solomon codes, results concerning the list decodability of Gabidulin codes in the rank metric are all negative so far. For example, in contrast to Reed-Solomon codes, which are always list decodable up to the Johnson bound in the Hamming metric, Raviv and Wachter-Zeh (IEEE TIT, 2016 and 2017) constructed a class of Gabidulin codes that are not even combinatorially list decodable beyond the unique decoding radius in the rank metric. Proving the existence of Gabidulin codes with good combinatorial list decodability in the rank metric has remained a long-standing open problem. In this paper, we resolve the aforementioned open problem by showing that, with high…
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Taxonomy
TopicsCoding theory and cryptography
