Title
Learning to Decode Protograph LDPC Codes
Abstract
The recent development of deep learning methods provides a new approach to optimize the belief propagation (BP) decoding of linear codes. However, the limitation of existing works is that the scale of neural networks increases rapidly with the codelength, thus they can only support short to moderate codelengths. From the point view of practicality, we propose a high-performance neural min-sum (MS)...
Year
DOI
Venue
2021
10.1109/JSAC.2021.3078488
IEEE Journal on Selected Areas in Communications
Keywords
DocType
Volume
Decoding,Iterative decoding,Training,Complexity theory,Convergence,5G mobile communication,Research and development
Journal
39
Issue
ISSN
Citations 
7
0733-8716
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Jincheng Dai1237.77
Kailin Tan201.01
Zhongwei Si3437.79
Kai Niu456186.80
Mingzhe Chen559544.32
H. V. Poor6254111951.66
Shuguang Cui75382368.45