Intelligent Bandwidth Allocation for Latency Management in NG-EPON using Reinforcement Learning Methods
Abstract
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.
- Publication:
-
arXiv e-prints
- Pub Date:
- January 2020
- DOI:
- 10.48550/arXiv.2001.07698
- arXiv:
- arXiv:2001.07698
- Bibcode:
- 2020arXiv200107698Z
- Keywords:
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- Computer Science - Networking and Internet Architecture;
- Computer Science - Machine Learning;
- Electrical Engineering and Systems Science - Signal Processing