Efficient iterative decoding algorithm of RS-LDPC concatenated schemes with 5G-LDPC codes

Kailin Liu; Ming Jiang; Lijie Hu

doi:10.1117/12.2685769

15 August 2023 Efficient iterative decoding algorithm of RS-LDPC concatenated schemes with 5G-LDPC codes

Kailin Liu, Ming Jiang, Lijie Hu

Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127194N (2023) https://doi.org/10.1117/12.2685769
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China

Abstract

Despite the performance of 5th Generation Low Density Parity Check (5G-LDPC) codes close to the capacity limit, the near-optimal floating-point BP decoding will lead to excessive use of hardware and high complexity of calculation. Thus, the quantized min-sum decoder with limited-precision is usually used in practical implementations. No matter using high or low precision quantization, some 5G-LDPC codes always suffer from the problem of high error floor, which affects their applications in future ultra-reliable scenarios. Using Reed-Solomon (RS) codes as the outer codes can significantly lower the error floor of 5G-LDPC codes due to their Hamming distance properties and excellent error-correction capability. In order to further improve the overall performance, an efficient iterative decoding algorithm of RS-LDPC concatenated codes is proposed in this paper. The proposed iterative algorithm of RS-LDPC codes can achieve noticeable gains over the 5G-LDPC codes at lower FER.

Citation Download Citation

Kailin Liu, Ming Jiang, and Lijie Hu "Efficient iterative decoding algorithm of RS-LDPC concatenated schemes with 5G-LDPC codes", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127194N (15 August 2023); https://doi.org/10.1117/12.2685769

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