Research on Closed-Set Blind Recognition of 5G-LDPC Codes

WU Hao-long; LI Xiao-dan; ZOU Lin-qi; LIU Rui; LI Yong

doi:10.12263/DZXB.20241175

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Research on Closed-Set Blind Recognition of 5G-LDPC Codes

Advances and Future of Coding Theory and Technology | 更新时间：2025-12-10

- Research on Closed-Set Blind Recognition of 5G-LDPC Codes
- ACTA ELECTRONICA SINICA Vol. 53, Issue 7, Pages: 2193-2200(2025)
- 作者机构：
  
  重庆大学计算机科学与技术系，重庆 401331
- 作者简介：
- 基金信息：
  
  Fundamental Research Funds for the Central Universities(N0.2024CDJGF-008)
- DOI：10.12263/DZXB.20241175
  CLC： TN911.7;
- Received：30 December 2024，
  
  Revised：2025-06-24，
  
  Published：25 July 2025
- 稿件说明：
移动端阅览
吴昊龙, 李晓丹, 邹林岐, 等. 5G-LDPC码的闭集盲识别研究[J]. 电子学报, 2025, 53(07): 2193-2200.

WU Hao-long, LI Xiao-dan, ZOU Lin-qi, et al. Research on Closed-Set Blind Recognition of 5G-LDPC Codes[J]. Acta Electronica Sinica, 2025, 53(07): 2193-2200.
吴昊龙, 李晓丹, 邹林岐, 等. 5G-LDPC码的闭集盲识别研究[J]. 电子学报, 2025, 53(07): 2193-2200. DOI：10.12263/DZXB.20241175

WU Hao-long, LI Xiao-dan, ZOU Lin-qi, et al. Research on Closed-Set Blind Recognition of 5G-LDPC Codes[J]. Acta Electronica Sinica, 2025, 53(07): 2193-2200. DOI：10.12263/DZXB.20241175

摘要

信道编码参数的盲识别作为非合作通信和自适应调制编码（Adaptive Modulation and Coding， AMC）系统中的一项重要技术，近些年受到了更多关注.在第五代移动通信技术（5th Generation mobile networks， 5G）中，其采用了低密度奇偶检验（Low-Density Parity-Check， LDPC）码作为数据信道的前向纠错码，但其使用了删余和填充导致传统的盲识别技术不再适用.本文提出了一种新的方案，借鉴置信传播（Belief Propagation， BP）译码迭代思路来进行盲识别.该方案基于传统平均对数似然比（Log-Likelihood Ratio， LLR）算法，进一步采用BP译码的思想对删余和填充比特进行迭代，以解决传统算法无法识别这部分比特的问题.仿真结果表明：与现有的相关算法相比，本文算法具有更好的性能.

Abstract

Blind recognition of channel coding parameters

as an essential technology in non-cooperative communication and adaptive modulation and coding (AMC) systems

has attracted increasing attention in recent years. In the 5th generation mobile networks (5G)

low-density parity-check (LDPC) codes are adopted as the forward error correction codes for data channels. However

due to the use of puncturing and padding

traditional blind recognition techniques are no longer applicable. We propose a novel scheme that leverages the belief propagation (BP) decoding iterative approach for blind recognition. Based on the conventional log-likelihood ratio (LLR) algorithm

this scheme incorporates the BP decoding concept to iteratively process punctured and padded bits

addressing the issue that traditional algorithms cannot recognize these bits. Simulation results demonstrate that the proposed algorithm outperforms existing related algorithms in terms of performance.

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references

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