Construction of Protograph LDPC Codes Based on the Convolution Neural Network  

作　　者：Zhiyuan Xiao Liguang Li Jin Xu Jin Sha 

机构地区：[1]School of Electronic Science and Engineering,Nanjing University,Nanjing 210023,China [2]Institute of Wireless Research,ZTE Corporation,Shenzhen 518055,China

出　　处：《China Communications》2023年第5期84-92,共9页中国通信（英文版）

基　　金：supported in part with the Project on the Industry Key Technologies of Jiangsu Province(No.BE2017153);the Industry-University-Research Fund of ZTE Corporation.

摘　　要：This paper presents an intelligent protograph construction algorithm.Protograph LDPC codes have shown excellent error correction performance and play an important role in wireless communications.Random search or manual construction are often used to obtain a good protograph,but the efficiency is not high enough and many experience and skills are needed.In this paper,a fast searching algorithm is proposed using the convolution neural network to predict the iterative decoding thresholds of protograph LDPC codes effectively.A special input data transformation rule is applied to provide stronger generalization ability.The proposed algorithm converges faster than other algorithms.The iterative decoding threshold of the constructed protograph surpasses greedy algorithm and random search by about 0.53 dB and 0.93 dB respectively under 100 times of density evolution.Simulation results show that quasi-cyclic LDPC(QC-LDPC)codes constructed from the proposed algorithm have competitive performance compared to other papers.

关 键 词：LDPC codes protograph codes iterative decoding threshold neural network 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TN911.2[自动化与计算机技术—控制科学与工程]