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arXiv · 2611.09184

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

Tofar C. -Y. Chang·I-Hsiang Lee·Pin-Han Wang·Jian-Jia Weng·Yu T. Su
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Abstract

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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Tofar C. -Y. Chang, I-Hsiang Lee, Pin-Han Wang, Jian-Jia Weng, Yu T. Su. 2026-11-06. Enhanced Informed Dynamic BP Decoding Scheduling Strategies for 5G NR LDPC Codes. https://doi.org/10.1109/vtc2022-fall57202.2022.10013051

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