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What if AI Fails: Protection against Failure of AI-Based QoT Prediction

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Abstract

We propose and simulate a new mechanism to protect against the failure of AI-based QoT prediction by assigning OSNR margins for working lightpath using the AI-based prediction method and for protection lightpath using the traditional, conservative method. This guarantees reliability of lightpath services, while not significantly increasing network spectrum resources used.

© 2020 The Author(s)

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