Intelligent Bandwidth Allocation for Latency Management in NG-EPON using Reinforcement Learning Method

Qi Zhou; Jingjie Zhu; Junwen Zhang; Zhensheng Jia; Bernardo Huberman; Gee-Kung Chang

doi:10.1364/CLEO_SI.2020.STh3L.1

Conference on Lasers and Electro-Optics
OSA Technical Digest (Optica Publishing Group, 2020),
paper STh3L.1
•https://doi.org/10.1364/CLEO_SI.2020.STh3L.1

Intelligent Bandwidth Allocation for Latency Management in NG-EPON using Reinforcement Learning Method

Qi Zhou, Jingjie Zhu, Junwen Zhang, Zhensheng Jia, Bernardo Huberman, and Gee-Kung Chang

CLEO: Science and Innovations 2020

Washington, DC United States
10–15 May 2020
ISBN: 978-1-943580-76-7

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Q. Zhou, J. Zhu, J. Zhang, Z. Jia, B. Huberman, and G. Chang, "Intelligent Bandwidth Allocation for Latency Management in NG-EPON using Reinforcement Learning Method," in Conference on Lasers and Electro-Optics, OSA Technical Digest (Optica Publishing Group, 2020), paper STh3L.1.

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Abstract

A novel intelligent bandwidth allocation scheme in NG-EPON using reinforcement learning is proposed and demonstrated for latency management. The capability of the proposed scheme is verified under both fixed and dynamic traffic loads.

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