We present an enhanced informed dynamic scheduling (IDS) strategy to avoid propagations of unreliable messages in the residual belief-propagation (RBP) algorithm for decoding low-density parity-check (LDPC) codes. To reduce the resource needed for updating the degree-one variable nodes (VNs) in an RBP-based algorithm for decoding 5G New Radio (NR) LDPC codes, we further introduce a process consisting of several simple procedures for managing the resource consumption. Simulation results demonstrate that our RBP algorithm based on the proposed IDS strategy outperforms existing RBP-based algorithms at the early decoding iterations. By using our degree-one VN resource managing approach, the performance of both the proposed and the existing decoders is significantly improved in decoding the 5G NR codes.


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    Title :

    Enhanced Informed Dynamic BP Decoding Scheduling Strategies for 5G NR LDPC Codes


    Contributors:


    Publication date :

    2022-09-01


    Size :

    2099357 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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