End-to-End Joint Digital and Optical Signal Processing Enabled by Interpretable Deep Learning for Coherent Optical Communication Systems
- Resource Type
- Conference
- Authors
- Liu, Qiaoya; Fu, Mengfan; Liu, Xiaomin; Yi, Lilin; Hu, Weisheng; Zhuge, Qunbi
- Source
- 2024 Optical Fiber Communications Conference and Exhibition (OFC) Optical Fiber Communications Conference and Exhibition (OFC), 2024. :1-3 Mar, 2024
- Subject
- Communication, Networking and Broadcast Technologies
Photonics and Electrooptics
Optical filters
Optical fibers
Deep learning
Filtering
Optical add-drop multiplexers
Optical fiber networks
Optical signal processing
- Language
Joint digital and optical signal processing is enabled by interpretable deep learning to realize end-to-end distributed equalization for optical transmissions. Up to 6.2 dB SNR gain is demonstrated for optical links with cascaded ROADMs.