Sep 27, 2023 · The goal of SD is to make the spectral gaps larger and better aligned across the network links. This enables the accommodation of more services, ...
Mar 14, 2024 · In this paper, we investigate the proactive spectrum defragmentation (SD) problem in elastic optical networks and propose a novel deep ...
The immense growth of Internet traffic calls for advanced techniques to enable the dynamic operation of optical networks, efficient use of spectral ...
The immense growth of Internet traffic calls for advanced techniques to enable the dynamic operation of optical networks, efficient use of spectral ...
Mar 15, 2024 · In this paper, we investigate the proactive spectrum defragmentation (SD) problem in elastic optical networks and propose a novel deep ...
Deep reinforcement learning for proactive spectrum defragmentation in elastic optical networks. E Etezadi, C Natalino, R Diaz, A Lindgren, S Melin, L Wosinska, ...
Deep reinforcement learning for proactive spectrum defragmentation ...
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Feb 21, 2024 · [OSA] Deep reinforcement learning for proactive spectrum defragmentation in elastic optical networks ... Article Source：Optica Publishing Group。
Nov 9, 2023 · Bibliographic details on Deep reinforcement learning for proactive spectrum defragmentation in elastic optical networks.
A thorough study about proactive defragmentation of elastic optical networks, under dynamic traffic conditions, with results which guarantee suitable ...
This paper proposes DeepRMSA, a deep reinforcement learning framework for routing, modulation and spectrum assignment (RMSA) in elastic optical networks (EONs).