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Machine-Learning-Based Routing of QoS-Constrained Connectivity Services in Optical Transport Networks

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Abstract

Quality of Service (QoS) constraints are crucial in 5G networks. The paper presents a provisioning strategy for connectivity services with different priorities based on reinforcement learning able to accommodate QoS requirements while maximizing provider profits.

© 2018 The Author(s)

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