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

2020-01-21 · Qi Zhou, Jingjie Zhu, Junwen Zhang, Zhensheng Jia, Bernardo Huberman, Gee-Kung Chang

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.

📄 PDF Abstract BibTeX arXiv:2001.07698

Code (0)

등록된 구현이 없습니다.

Tasks

Management reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)

Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning

2020-03-10 · Dingzhu Wen, Mehdi Bennis, Kaibin Huang

To leverage data and computation capabilities of mobile devices, machine learning algorithms are deployed at the network edge for training artificial intelligence (AI) models, resulting in the new paradigm of edge learni…

An Intelligent QoS Algorithm for Home Networks

2020-07-22 · Wen-Jyi Hwang, Tsung-Ming Tai, Bo-Ting Pan, Tun-Yao Lou 외

A novel quality of service (QoS) management algorithm for home networks is presented in this letter. The algorithm is based on service prediction for intelligent QoS management. The service prediction is carried out by a…

Management Prediction regression

Deep Reinforcement Learning Based Mobile Edge Computing for Intelligent Internet of Things

2020-08-01 · Rui Zhao, Xinjie Wang, Junjuan Xia, Liseng Fan

In this paper, we investigate mobile edge computing (MEC) networks for intelligent internet of things (IoT), where multiple users have some computational tasks assisted by multiple computational access points (CAPs). By …

Deep Reinforcement Learning Edge-computing reinforcement-learning Reinforcement Learning+1

RL-Driven Security-Aware Resource Allocation Framework for UAV-Assisted O-RAN

2025-10-20 · Zaineh Abughazzah, Emna Baccour, Loay Ismail, Amr Mohamed 외 arxiv

The integration of Unmanned Aerial Vehicles (UAVs) into Open Radio Access Networks (O-RAN) enhances communication in disaster management and Search and Rescue (SAR) operations by ensuring connectivity when infrastructure…

Reinforcement Learning

DRL-Driven Edge-Aware Utility Optimization for Multi-Slice 6G Networks

2026-05-21 · Khaled M. Naguib, Soumaya Cherkaoui, Mahmoud M. Elmessalawy, Ahmed M. Abd El-Haleem 외 arxiv

Virtual Reality (VR) services delivered over 6G networks demand ultra-low latency and high bandwidth to ensure seamless user experiences. This paper presents an intelligent resource allocation and edge caching framework …