Abstract | ||
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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 |
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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 Dai | 1 | 23 | 7.77 |
Kailin Tan | 2 | 0 | 1.01 |
Zhongwei Si | 3 | 43 | 7.79 |
Kai Niu | 4 | 561 | 86.80 |
Mingzhe Chen | 5 | 595 | 44.32 |
H. V. Poor | 6 | 25411 | 1951.66 |
Shuguang Cui | 7 | 5382 | 368.45 |