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

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.

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