Gee-Kung Chang

1paper

1 Paper

NIJan 21, 2020
Intelligent Bandwidth Allocation for Latency Management in NG-EPON using Reinforcement Learning Methods

Qi Zhou, Jingjie Zhu, Junwen Zhang et al.

A novel intelligent bandwidth allocation scheme in NG-EPON using reinforcement learning is proposed and demonstrated for latency management. We verify the capability of the proposed scheme under both fixed and dynamic traffic loads scenarios to achieve <1ms average latency. The RL agent demonstrates an efficient intelligent mechanism to manage the latency, which provides a promising IBA solution for the next-generation access network.