Abstract
This paper proposes a node-oriented traffic prediction and scheduling in elastic metro optical networks by introducing the graph convolution network. Simulation results show the proposed scheme achieves efficient resource utilization with an accurate traffic prediction.
© 2021 The Author(s)
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