Quadratic-Curve-Lifted Reed-Solomon Codes

09/29/2021
by   Hedongliang Liu, et al.
0

Lifted codes are a class of evaluation codes attracting more attention due to good locality and intermediate availability. In this work we introduce and study quadratic-curve-lifted Reed-Solomon (QC-LRS) codes, where the codeword symbols whose coordinates are on a quadratic curve form a codeword of a Reed-Solomon code. We first develop a necessary and sufficient condition on the monomials which form a basis the code. Based on the condition, we give upper and lower bounds on the dimension and show that the asymptotic rate of a QC-LRS code over 𝔽_q with local redundancy r is 1-Θ(q/r)^-0.2284. Moreover, we provide analytical results on the minimum distance of this class of codes and compare QC-LRS codes with lifted Reed-Solomon codes by simulations in terms of the local recovery capability against erasures. For short lengths, QC-LRS codes have better performance in local recovery for erasures than LRS codes of the same dimension.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/25/2023

Curve-lifted codes for local recovery using lines

In this paper, we introduce curve-lifted codes over fields of arbitrary ...
research
01/17/2020

Design and Analysis of Online Fountain Codes for Intermediate Performance

For the benefit of improved intermediate performance, recently online fo...
research
06/09/2020

Hermitian-Lifted Codes

In this paper, we construct codes for local recovery of erasures with hi...
research
06/28/2021

Two-point AG codes from the Beelen-Montanucci maximal curve

In this paper we investigate two-point algebraic-geometry codes (AG code...
research
10/27/2020

Asymptotic Bounds on the Rate of Locally Repairable Codes

New asymptotic upper bounds are presented on the rate of sequences of lo...
research
07/28/2021

A family of codes with variable locality and availability

In this work we present a class of locally recoverable codes, i.e. codes...
research
09/14/2018

Bounds on the Redundancy of Huffman Codes with Known and Unknown Probabilities

In this paper we provide a method to obtain tight bounds on the minimum ...

Please sign up or login with your details

Forgot password? Click here to reset