Abstract
We discuss an elastic optical network-based approach for evaluating QoT model substitution. Assessing QoT substitution is based on the fundamental idea that different QoT estimators should be examined by analysing their impact integrated with the routing and spectrum allocation algorithm. Machine learning is no exception.
© 2022 The Author(s)
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