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Bibliographic Details
Main Authors: Mohr, Philipp, Bauch, Gerhard
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2408.07437
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author Mohr, Philipp
Bauch, Gerhard
author_facet Mohr, Philipp
Bauch, Gerhard
contents We enhance coarsely quantized LDPC decoding by reusing computed check node messages from previous iterations. Typically, variable and check nodes update and replace old messages every iteration. We show that, under coarse quantization, discarding old messages entails a significant loss of mutual information. The loss is avoided with additional memory, improving performance by up to 0.23 dB. We optimize quantization with a modified information bottleneck algorithm that considers the statistics of old messages. A simple merge operation reduces memory requirements. Depending on channel conditions and code rate, memory assistance enables up to 32 % better area efficiency for 2-bit decoding.
format Preprint
id arxiv_https___arxiv_org_abs_2408_07437
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Memory-Assisted Quantized LDPC Decoding
Mohr, Philipp
Bauch, Gerhard
Information Theory
We enhance coarsely quantized LDPC decoding by reusing computed check node messages from previous iterations. Typically, variable and check nodes update and replace old messages every iteration. We show that, under coarse quantization, discarding old messages entails a significant loss of mutual information. The loss is avoided with additional memory, improving performance by up to 0.23 dB. We optimize quantization with a modified information bottleneck algorithm that considers the statistics of old messages. A simple merge operation reduces memory requirements. Depending on channel conditions and code rate, memory assistance enables up to 32 % better area efficiency for 2-bit decoding.
title Memory-Assisted Quantized LDPC Decoding
topic Information Theory
url https://arxiv.org/abs/2408.07437