Multi-Step Span Loss Prediction in Optical Networks Using Multi-Head Attention Transformers

Multi-Step Span Loss Prediction in Optical Networks Using Multi-Head Attention Transformers

Span Loss is a pivotal characteristic of optical networks, and its accurate prediction enables adjustment for optimal performance and proactive monitoring. Deep learning models such as transformers, with their self-attention mechanism, have shown potential for various prediction tasks. In this study...

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Bibliographic Details
Main Authors: Maryam Hedayatnejad, Yinqing Pei, David Boertjes, Dacian Demeter, Christian Desrosiers, Christine Tremblay
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Photonics Journal
Subjects:
Attention mechanism
deep learning models
multi-step prediction
optical networks
single-step prediction
span loss
Online Access:https://ieeexplore.ieee.org/document/11006412/
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