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

Agastya Raj; Dan Kilper; Frank Slyne; Marco Ruffini; Tingjun Chen; Zehao Wang

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

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arxiv 2503.17072 v1 pith:OPVZGQO2 submitted 2025-03-21 cs.LG cs.NI

Agastya Raj , Zehao Wang , Frank Slyne , Tingjun Chen , Dan Kilper , Marco Ruffini This is my paper · ORCID

classification cs.LGcs.NI

keywords frameworkmulti-spanattentionml-basedopticalpowerspectrumbrown-field

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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.

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