30-Gb/s PAM-8 Transmission with Directly-Modulated Laser using Machine Learning Equalizer
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Reza, Ahmed Galib | ko |
| dc.contributor.author | Rhee, June-Koo Kevin | ko |
| dc.date.accessioned | 2020-06-25T01:20:47Z | - |
| dc.date.available | 2020-06-25T01:20:47Z | - |
| dc.date.created | 2020-06-12 | - |
| dc.date.created | 2020-06-12 | - |
| dc.date.issued | 2018-10 | - |
| dc.identifier.citation | Asia Communications and Photonics Conference (ACP) | - |
| dc.identifier.issn | 2162-108X | - |
| dc.identifier.uri | http://hdl.handle.net/10203/274834 | - |
| dc.description.abstract | We experimentally demonstrate a DML-based IM/DD modulated 30-Gb/ s PAM-8 transmission over an 18-km SMF-28e for access networks. The nonlinear distortions due to DMLs are mitigated using an artificial neural network (ANN)-based nonlinear equalizer called ANN-NLE. | - |
| dc.language | English | - |
| dc.publisher | IEEE | - |
| dc.title | 30-Gb/s PAM-8 Transmission with Directly-Modulated Laser using Machine Learning Equalizer | - |
| dc.type | Conference | - |
| dc.identifier.wosid | 000459847900054 | - |
| dc.identifier.scopusid | 2-s2.0-85061448422 | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | Asia Communications and Photonics Conference (ACP) | - |
| dc.identifier.conferencecountry | US | - |
| dc.identifier.conferencelocation | Hangzhou, PEOPLES R CHINA | - |
| dc.identifier.doi | 10.1109/ACP.2018.8595772 | - |
| dc.contributor.localauthor | Rhee, June-Koo Kevin | - |
| dc.contributor.nonIdAuthor | Reza, Ahmed Galib | - |
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