@inproceedings{4c8236fa97304a43a21a6b472352015c,
title = "Learning to Decode Linear Block Codes using Adaptive Gradient-Descent Bit-Flipping",
abstract = "In this paper we propose a generalization of the recently published adaptive diversity gradient-descent bit flipping (AD-GDBF) decoder, named generalized AD-GDBF (gAD-GDBF) decoder. While the original AD-GDBF decoder was designed for the binary symmetric channel and used mostly to decode regular low-density parity-check codes, the gAD-GDBF algorithm incorporates several improvements which makes it eligible for the additive white Gaussian channel and decoding of arbitrary linear block code. The gAD-GDBF decoder uses the genetic algorithm to optimize a set of learnable parameters, for a targeted linear block code. The effectiveness of the proposed method is verified on short Bose-Chaudhuri-Hocquenghem (BCH) codes, where it was shown that for the same number of decoding iterations the gAD-GDBF decoder outperforms the belief-propagation decoder in terms of bit error rate and at the same time reduces the decoding complexity significantly.",
keywords = "Bose-Chaudhuri-Hocquenghem codes, bit-flipping, diversity decoding, genetic algorithm, gradient-descent, linear block codes",
author = "Jovan Milojkovic and Srdan Brkic and Predrag Ivanis and Bane Vasic",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 12th International Symposium on Topics in Coding, ISTC 2023 ; Conference date: 04-09-2023 Through 08-09-2023",
year = "2023",
doi = "10.1109/ISTC57237.2023.10273470",
language = "English (US)",
series = "2023 12th International Symposium on Topics in Coding, ISTC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 12th International Symposium on Topics in Coding, ISTC 2023",
}