Towards Flexible LDPC Coding for 6G

Current communication standards employ a variety of different channel coding schemes, complicating hardware implementation. We present a novel low-density parity-check (LDPC) coding scheme for 6G that aims to reduce complexity and increase implementation efficiency. The scheme uses only a single base matrix, while offering a similar flexibility as the current 5G LDPC code at an improved communication performance. Moreover, addressing the need for larger transport block sizes to achieve higher throughput, the proposed code supports longer block lengths than those of 5G. The code can be decoded using the well-known belief propagation (BP) algorithm, as well as automorphism ensemble decoding (AED) for improved error correction in the short block length regime, allowing a trade-off between performance and complexity to suit a wide range of application requirements.

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Published
2024-10-27
DOI
https://doi.org/10.1109/ieeeconf60004.2024.10942769
Citations
1
Primary Topic
Error Correcting Code Techniques
Type
article
Field-Weighted Citation Impact
0.35
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Towards Flexible LDPC Coding for 6G

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1 citations
Error Correcting Code Techniques
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article

Towards Flexible LDPC Coding for 6G

Marvin Geiselhart, Felix Krieg, Stephan ten Brink, Jannis Clausius, Daniel Tandler, Tim Janz, Simon Obermüller, Paul Bezner
article en
1 citations

Abstract

Current communication standards employ a variety of different channel coding schemes, complicating hardware implementation. We present a novel low-density parity-check (LDPC) coding scheme for 6G that aims to reduce complexity and increase implementation efficiency. The scheme uses only a single base matrix, while offering a similar flexibility as the current 5G LDPC code at an improved communication performance. Moreover, addressing the need for larger transport block sizes to achieve higher throughput, the proposed code supports longer block lengths than those of 5G. The code can be decoded using the well-known belief propagation (BP) algorithm, as well as automorphism ensemble decoding (AED) for improved error correction in the short block length regime, allowing a trade-off between performance and complexity to suit a wide range of application requirements.

University of Stuttgart (DE)
Openalex Percentile: Top 33%
Error Correcting Code Techniques
0.35
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