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Reinforcement Learning for Provisioning OTN Leased Lines

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Abstract

We discuss reinforcement learning-based strategies for provisioning OTN leased-lines including all-optical provisioning and strategic aggregation subject to stochastic traffic in metro/regional networks. We show benefit in transceiver count and reduction of OTN cross-connect capacity.

© 2023 The Author(s)

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