Enumeration of Minimum Weight Codewords of Pre-Transformed Polar Codes by Tree Intersection

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Zunker, Andreas, Geiselhart, Marvin, Brink, Stephan ten
Format: Preprint
Published: 2023
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866909182590976000
author Zunker, Andreas
Geiselhart, Marvin
Brink, Stephan ten
author_facet Zunker, Andreas
Geiselhart, Marvin
Brink, Stephan ten
contents Pre-transformed polar codes (PTPCs) form a class of codes that perform close to the finite-length capacity bounds. The minimum distance and the number of minimum weight codewords are two decisive properties for their performance. In this work, we propose an efficient algorithm for determining the number of minimum weight codewords of general PTPCs that eliminates all redundant visits to nodes of the search tree, thus reducing the computational complexity typically by several orders of magnitude compared to state-of-the-art algorithms. This reduction in complexity allows, for the first time, the minimum distance properties to be directly considered in the code design of PTPCs. The algorithm is demonstrated for randomly pre-transformed Reed-Muller (RM) codes and polarization-adjusted convolutional (PAC) codes. Furthermore, we design optimal polynomials for PAC codes with this algorithm, minimizing the number of minimum weight codewords.
format Preprint
id arxiv_https___arxiv_org_abs_2311_17774
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Enumeration of Minimum Weight Codewords of Pre-Transformed Polar Codes by Tree Intersection
Zunker, Andreas
Geiselhart, Marvin
Brink, Stephan ten
Information Theory
Pre-transformed polar codes (PTPCs) form a class of codes that perform close to the finite-length capacity bounds. The minimum distance and the number of minimum weight codewords are two decisive properties for their performance. In this work, we propose an efficient algorithm for determining the number of minimum weight codewords of general PTPCs that eliminates all redundant visits to nodes of the search tree, thus reducing the computational complexity typically by several orders of magnitude compared to state-of-the-art algorithms. This reduction in complexity allows, for the first time, the minimum distance properties to be directly considered in the code design of PTPCs. The algorithm is demonstrated for randomly pre-transformed Reed-Muller (RM) codes and polarization-adjusted convolutional (PAC) codes. Furthermore, we design optimal polynomials for PAC codes with this algorithm, minimizing the number of minimum weight codewords.
title Enumeration of Minimum Weight Codewords of Pre-Transformed Polar Codes by Tree Intersection
topic Information Theory
url https://arxiv.org/abs/2311.17774