English

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

Machine Learning 2025-03-24 v1 Networking and Internet Architecture

Abstract

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.

Keywords

Cite

@article{arxiv.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}
}

Comments

This paper is a preprint of a paper accepted in ECOC 2024 and is subject to Institution of Engineering and Technology Copyright. A copy of record will be available at IET Digital Library

R2 v1 2026-06-28T22:29:38.098Z