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Uniform vs. Non-Uniform Coarse Quantization in Mutual Information Maximizing LDPC Decoding
Publikationstyp
Conference Paper
Date Issued
2022-12
Sprache
English
Author(s)
Institut
Citation
IEEE Global Communications Conference (GLOBECOM 2022)
Contribution to Conference
Publisher DOI
Scopus ID
Recently, low-resolution LDPC decoders have been introduced that perform mutual information maximizing signal processing. However, the optimal quantization in variable and check nodes requires expensive non-uniform operations. Instead, we propose to use uniform quantization with a simple hardware structure, which reduces the complexity of individual node operations approximately by half and shortens the decoding delay significantly. Our analysis shows that the loss of preserved mutual information resulting from restriction to uniform quantization is very small. Furthermore, the error rate simulations with regular LDPC codes confirm that the uniform quantization causes only minor performance degradation within 0.01 dB compared to the non-uniform alternative. Due to the complexity reduction, especially the proposed 3-bit decoder is a promising candidate to replace 4-bit conventional decoders.