DC Field | Value | Language |
---|---|---|
dc.contributor.author | Han, Seokju | ko |
dc.contributor.author | Ha, Jeongseok | ko |
dc.date.accessioned | 2020-12-19T01:50:21Z | - |
dc.date.available | 2020-12-19T01:50:21Z | - |
dc.date.created | 2020-12-02 | - |
dc.date.created | 2020-12-02 | - |
dc.date.issued | 2020-10-22 | - |
dc.identifier.citation | 11th International Conference on Information and Communication Technology Convergence, ICTC 2020, pp.1098 - 1100 | - |
dc.identifier.issn | 2162-1233 | - |
dc.identifier.uri | http://hdl.handle.net/10203/278743 | - |
dc.description.abstract | Existing deep learning-based channel decoders, called neural decoders, suffer from demands on an excessively high computational complexity and large memory resource. In this work, we will show that a low-complexity neural belief propagation (BP) decoder can be constructed by utilizing the network pruning technique. In particular, it will be shown that by removing unimportant edges in a neural BP decoder, a significant complexity gain can be achieved. When the decoding complexity is fixed, the proposed decoder highly achieves a notable performance improvement as compared to the existing neural BP decoder, which will be demonstrated with performance evaluations. In addition, we conduct a preliminary study investigating the structure of pruned edges, which we believe provides some clues of a general design framework of practical neural BP decoders. | - |
dc.language | English | - |
dc.publisher | The Korean Institute of Communications and Information Sciences | - |
dc.title | A Low-complexity Neural BP Decoder with Network Pruning | - |
dc.type | Conference | - |
dc.identifier.wosid | 000692529100266 | - |
dc.identifier.scopusid | 2-s2.0-85098989375 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 1098 | - |
dc.citation.endingpage | 1100 | - |
dc.citation.publicationname | 11th International Conference on Information and Communication Technology Convergence, ICTC 2020 | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | Ramada Plaza Hotel Jeju | - |
dc.identifier.doi | 10.1109/ICTC49870.2020.9289525 | - |
dc.contributor.localauthor | Ha, Jeongseok | - |
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