An Improved 5G NR LDPC Decoding Algorithm Based On Box-Plus Operation

Lu, Liming; Li, Yang; Fang, Li

doi:10.1109/iccc55456.2022.9880684

2022 IEEE/CIC International Conference on Communications in China (ICCC) 2022

DOI: 10.1109/iccc55456.2022.9880684

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An Improved 5G NR LDPC Decoding Algorithm Based On Box-Plus Operation

Liming Lu

Yang Li

Li Fang

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2023

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“…In [20] [21] [22], deep learning method is introduced to the optimization of normalization factor. As for the analysis tools, 3D extrinsic information transfer (EXIT) chart is applied in [23], and density evolution (DE) is applied in [24] [25] in the decoding parameter optimization. Considering 5G-NR LDPC codes, the edge classification method based on node degree is usually utilized in the optimization of decoding parameter [22] [23] [26].…”

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Adaptive Quantized and Normalized MSA Based on Modified MET-DE and Its Application for 5G-NR LDPC Codes

An,

Zhang,

Peng

et al. 2023

IEEE Access

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5G new radio (5G-NR) enhanced Mobile Broadband (eMBB) scenario demands a high data throughput of up to 20Gb/s, leading to an urgent need for low complexity and high throughput decoding algorithms for 5G-NR low-density parity-check (LDPC) codes, the coding scheme of 5G eMBB data channel. Quantization of input and intermediate signals enables the data throughput enhancement and the computation and storage overhead reduction of LDPC decoder, but confronts the problem of performance degradation. In addition, conventional analysis tools show limitation on the accurate asymptotic performance prediction of quantized and normalized LDPC decoding algorithms. In this paper, we first introduce modified multi-edge type density evolution (MET-DE) to the asymptotic performance prediction of quantized and adaptive normalized minsum algorithm (ANMSA). Then we adopt adaptive asymmetric quantization strategy for MET LDPC codes, combine it with conventional adaptive normalization technique, and further propose adaptive quantized and normalized min-sum algorithm (AQNMSA), which significantly alleviates the performance degradation of fixed quantized and normalized min-sum algorithm (NMSA) with negligible increment of computational complexity. Concurrently, we provide a novel look-up table design algorithm for AQNMSA based on the analysis tool of modified MET-DE. Finally, we apply AQNMSA to 5G-NR LDPC codes with a very low quantization bit-width of 4 bits for intermediate signals, and observe a comparable or superior decoding performance compared with its float-point non-adaptive counterparts under multiple code rates.3rd Generation Partnership Project (3GPP) adopted 5G new radio (5G-NR) low-density parity-check (LDPC)

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mentioning

confidence: 99%

Adaptive Quantized and Normalized MSA Based on Modified MET-DE and Its Application for 5G-NR LDPC Codes

An,

Zhang,

Peng

et al. 2023

IEEE Access

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An Improved 5G NR LDPC Decoding Algorithm Based On Box-Plus Operation

Cited by 1 publication

References 14 publications

Adaptive Quantized and Normalized MSA Based on Modified MET-DE and Its Application for 5G-NR LDPC Codes

Adaptive Quantized and Normalized MSA Based on Modified MET-DE and Its Application for 5G-NR LDPC Codes

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