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Beijing Hangkong Hangtian Daxue xuebao

Decoding for LDPC codes with enhanced residual belief-propagation

Ming Shu Zhao, Xiaolin Zhang

Published Mar 20, 2014• 1 citation
Publisher
DOI
10.13700/j.bh.1001-5965.2013.0254

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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.
We researched BP decoding algorithm based on variable-to-check information residual for LDPC code (VC-RBP) in this paper. It is a dynamic scheduling belief propagation using residuals, and has some advantages, such as fast decoding, good performance, and low complexity. It is similar to residual belief propagation (RBP),but has some difference in computing the residual message. Simulation shows that it outperforms with only a maximum of ten iterations by about 0.28 dB compared with RBP at an BER of 10-4.