Threshold-Controlled Residual Decoding for LDPC Codes via a Weight-Shared Neural Network
This letter addresses the issues of gradient vanishing and performance degradation in deep-unfolded neural LDPC decoders. We introduce a residual-based and weight-shared neural normalized min-sum (RSNNMS) decoder, which incorporates residual connections into the shared neural NMS (SNNMS) architecture to actively levera...