Xia, L. , Zhang, J., Song, Y., Zhang, Q., Li, X. and Qiu, K. (2018) Physical layer abstraction utilizing OSNR montioring based on deep neural network. In: 2018 Asia Communications and Photonics Conference (ACP), Hangzhou, China, 26-29 October 2018, ISBN 9781538661581 (doi: 10.1109/ACP.2018.8596119)
Full text not currently available from Enlighten.
Abstract
We demonstrate a deep neural network (DNN) trained with amplitude histograms (AHs) for optical performance monitoring in a 28-GBd PAM4 based direct detection system. Both simulation and experimental results shows DNN can successfully estimate OSNRs.
| Item Type: | Conference Proceedings |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Xia, Le |
| Authors: | Xia, L., Zhang, J., Song, Y., Zhang, Q., Li, X., and Qiu, K. |
| College/School: | College of Science and Engineering |
| Journal Name: | Asia Communications and Photonics Conference |
| ISBN: | 9781538661581 |
| Published Online: | 31 December 2018 |
| Related URLs: |
University Staff: Request a correction | Enlighten Editors: Update this record
Deposit and Record Details
Deposit and Record Details