Multi-Span Optical Power Spectrum Evolution Modeling using ML-based Multi-Decoder Attention Framework

We implement a ML-based attention framework with component-specific decoders, improving optical power spectrum prediction in multi-span networks. By reducing the need for in-depth training on each component, the framework can be scaled to multi-span topologies with minimal data collection, making it suitable for brown-field scenarios.

@article{raj2025_2503.17072,
  title={ Multi-Span Optical Power Spectrum Evolution Modeling using ML-based Multi-Decoder Attention Framework },
  author={ Agastya Raj and Zehao Wang and Frank Slyne and Tingjun Chen and Dan Kilper and Marco Ruffini },
  journal={arXiv preprint arXiv:2503.17072},
  year={ 2025 }
}