A Monte-Carlo Based Construction of Polarization-Adjusted Convolutional (PAC) Codes
Information Theory
2021-06-16 v1 math.IT
Abstract
This paper proposes a rate-profile construction method for polarization-adjusted convolutional (PAC) codes of any code length and rate, which is capable of maintaining trade-off between the error-correction performance and decoding complexity of PAC code. The proposed method can improve the error-correction performance of PAC codes while guaranteeing a low mean sequential decoding complexity for signal-to-noise ratio (SNR) values beyond a target SNR value.
Keywords
Cite
@article{arxiv.2106.08118,
title = {A Monte-Carlo Based Construction of Polarization-Adjusted Convolutional (PAC) Codes},
author = {Mohsen Moradi and Amir Mozammel},
journal= {arXiv preprint arXiv:2106.08118},
year = {2021}
}