5G NR CA-Polar Maximum Likelihood Decoding by GRAND
Information Theory
2021-02-22 v2 math.IT
Abstract
CA-Polar codes have been selected for all control channel communications in 5G NR, but accurate, computationally feasible decoders are still subject to development. Here we report the performance of a recently proposed class of optimally precise Maximum Likelihood (ML) decoders, GRAND, that can be used with any block-code. As published theoretical results indicate that GRAND is computationally efficient for short-length, high-rate codes and 5G CA-Polar codes are in that class, here we consider GRAND's utility for decoding them. Simulation results indicate that decoding of 5G CA-Polar codes by GRAND, and a simple soft detection variant, is a practical possibility.
Keywords
Cite
@article{arxiv.1907.01077,
title = {5G NR CA-Polar Maximum Likelihood Decoding by GRAND},
author = {Ken Duffy and Amit Solomon and Kishori M. Konwar and Muriel Medard},
journal= {arXiv preprint arXiv:1907.01077},
year = {2021}
}