Real-Time Implementation of Machine-Learning DSP
- Resource Type
- Conference
- Authors
- Borjeson, Erik; Liu, Keren; Hager, Christian; Larsson-Edefors, Per
- 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
Equalizers
Machine learning
Time-varying channels
Taylor series
Real-time systems
Optical fiber communication
Hardware
- Language
While ML algorithms can learn and adapt to channel characteristics, implementation of ML-based DSP hardware is challenging. We demonstrate a real-time implementation of a model-based ML equalizer that compensates a non-linear and time-varying channel.