In this letter, we introduce a Unet-based neural network denoiser-belief propagation (UnetNND-BP) architecture with two training modes to improve the decoding performance of low-density parity-check (LDPC) codes. In the supervised… Click to show full abstract
In this letter, we introduce a Unet-based neural network denoiser-belief propagation (UnetNND-BP) architecture with two training modes to improve the decoding performance of low-density parity-check (LDPC) codes. In the supervised learning mode, UnetNND-BP achieves better performance than benchmark schemes, while in the self-supervised learning mode, it achieves comparable performance.
Keywords:
unetnnd architecture;
decoding correlated;
architecture;
channel decoding;
architecture channel;
correlated noise
Journal Title: IEEE Communications Letters
Year Published: 2024
Link to full text (if available)
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Journal Title: IEEE Communications Letters
Year Published: 2024
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!