Weak information signals can be detected with the assistance of stochastic perturbation, and nonlinear systems benefit from this phenomenon. Inspired by this, we propose a noise-assisted NMS list (Na-NMSL) algorithm for LDPC decoding. The algorithm consists of L independent NMS decoders, and the inputs of the NMS decoders are generated by adding artificial noise with different strengths to the received signal. When lifting size Z is small, list decoding is performed in the Na-NMSL decoder by utilizing the remaining hardware resources. Therefore, the Na-NMSL decoder enhances the decoding performance of NMS without additional hardware overhead. Simulation results show that the Na-NMSL decoder has a lower block error rate (BLER) and faster convergence than traditional NMS decoding.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Noise-Assisted List Decoding for 5G LDPC Codes


    Contributors:
    Gao, Jian (author) / Wang, Hao (author) / Tian, Kuangda (author)


    Publication date :

    2022-09-01


    Size :

    550370 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Low-Latency Decoding of EG LDPC Codes

    Zhang, J. / Yedidia, J. S. / Fossorier, M. | British Library Online Contents | 2007


    Neural Adjusted Min-Sum Decoding for LDPC Codes

    Yu, Haochen / Zhao, Ming-Min / Lei, Ming et al. | IEEE | 2023


    Decoding for LDPC codes with enhanced residual belief-propagation

    Ming, Z. / Xiaolin, Z. | British Library Online Contents | 2014


    Dynamic Dual Quantization-Domain Decoding for NR LDPC Codes

    Kim, Taehyun / Park, JooSung | IEEE | 2021