Enhanced Support Vector Machine Based Signal Recovery in Bandwidth-Limited 50-100 Gbit/s Flexible DS-PON
Liyan Wu, Yanlu Huang, Kai Jin, Shangya Han, Kun Xu, Yanni Ou

TL;DR
This paper introduces an adaptive SVM-based signal recovery algorithm for high-speed PON systems, achieving a record link power budget of 24 dB at 100 Gbit/s, enhancing bandwidth efficiency and system robustness.
Contribution
It presents a novel, low-complexity SVM-based signal recovery method tailored for bandwidth-limited 50-100 Gbit/s PON, improving performance over existing techniques.
Findings
Achieved a 24 dB link power budget at 100 Gbit/s
Demonstrated effective adaptive signal recovery in experimental setups
Reduced complexity of signal processing in high-speed PON systems
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptical Network Technologies · Advanced Photonic Communication Systems · Photonic and Optical Devices
MethodsSupport Vector Machine
