A Deep Learning based Multi-edge-type decoding algorithm for 5G NR LDPC codes-Reference-Cited by-同舟云学术

A Deep Learning based Multi-edge-type decoding algorithm for 5G NR LDPC codes

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 International Wireless Communications and Mobile Computing (IWCMC)
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Author:

Du Tianyu¹,Ju Hao¹,Xu Yin¹,He Dazhi¹,Zhang Wenjun¹

Affiliation:

1. Shanghai Jiao Tong University,Cooperative Media Network Innovation Center (CMIC), School of Electronics Information and Electrical Engineering,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10182387/10182368/10182649.pdf?arnumber=10182649

Reference22 articles.

1. Density evolution for BP-based decoding algorithms of LDPC codes and their quantized versions;chen;Proc Global Telecommun Conf,2002

2. Near optimum universal belief propagation based decoding of LDPC codes and extension to turbo decoding

3. Min-Sum Algorithm Using Multi-Edge-Type Normalized Scheme for ATSC 3.0 LDPC Decoders

4. Near optimum universal belief propagation based decoding of low-density parity check codes

5. Decoding Optimization for 5G LDPC Codes by Machine Learning

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