Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • European Conference on Optical Communication (ECOC) 2022
  • Technical Digest Series (Optica Publishing Group, 2022),
  • paper Mo3C.5

Towards 6G: Machine Learning Driven Resource Allocation in Next Generation Optical Access Networks (Invited)

Not Accessible

Your library or personal account may give you access

Abstract

6G networks will deliver immersive applications that bridge real and digital worlds. The next-generation optical access network is a potential optical transport solution. In view of dynamic network conditions, we propose a machine learning driven solution that rapidly self-adapts to support new 6G applications.

© 2022 The Author(s)

PDF Article
More Like This
Tutorial: Evolution of Machine Learning in Optical Access Networks

Elaine Wong, Lihua Ruan, and Sourav Mondal
W3G.1 Optical Fiber Communication Conference (OFC) 2022

Low-Latency Federated Reinforcement Learning-Based Resource Allocation in Converged Access Networks

Lihua Ruan, Sourav Mondal, Imali Dias, and Elaine Wong
W2A.28 Optical Fiber Communication Conference (OFC) 2020

Evaluating Bandwidth Efficiency and Latency of Scheduling Schemes for 5G Fronthaul over TDM-PON

Sarvesh Bidkar, Konstantinos Christodoulopoulos, Thomas Pfeiffer, and Rene Bonk
Mo3C.2 European Conference and Exhibition on Optical Communication (ECOC) 2022

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.