Enhanced Support Vector Machine Based Signal Recovery in Bandwidth-Limited 50-100 Gbit/s Flexible DS-PON
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912231745126400 |
|---|---|
| author | Wu, Liyan Huang, Yanlu Jin, Kai Han, Shangya Xu, Kun Ou, Yanni |
| author_facet | Wu, Liyan Huang, Yanlu Jin, Kai Han, Shangya Xu, Kun Ou, Yanni |
| contents | We proposed an adaptive signal recovery algorithm with reduced complexity based on the SVM principle for flexible downstream PON. Experimental results indicate a record-high link power budget of 24 dB for bandwidth-limited 100 Gbit/s direct-detection transmission@1E-3. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_03753 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Enhanced Support Vector Machine Based Signal Recovery in Bandwidth-Limited 50-100 Gbit/s Flexible DS-PON Wu, Liyan Huang, Yanlu Jin, Kai Han, Shangya Xu, Kun Ou, Yanni Signal Processing We proposed an adaptive signal recovery algorithm with reduced complexity based on the SVM principle for flexible downstream PON. Experimental results indicate a record-high link power budget of 24 dB for bandwidth-limited 100 Gbit/s direct-detection transmission@1E-3. |
| title | Enhanced Support Vector Machine Based Signal Recovery in Bandwidth-Limited 50-100 Gbit/s Flexible DS-PON |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2407.03753 |