This study presents a dynamic inter wavelength migration scheme for the optical network
units (ONUs) employing linear regression machine learning method to equalize the traffic …

We demonstrate real-time and fair throughput control among ONUs as realized by our
dynamic-load-balancing method. Experiments on the proposal show that it achieves uniform …

In recent years, the advances in deep learning (DL) technology have greatly improved
artificial intelligence (AI)-related research and services. Among them, real-time object …

Optical access systems are now considered a feasible alternative to the predominant
broadband access technologies, while, at the same time, passive optical networks (PONs) …

Passive Optical Networks (PONs) are a promising architecture for providing broadband
access to the end user and XG-PON is the latest ITU-T PON standard, which provides line …

The overall objective of this paper is to propose and devise a dynamic and fair resource
allocation technique in a ring-based WDM-PON architecture with truly shared LAN …

We propose an adaptive wavelength allocation pattern for scheduling multi-wavelength
ONUs in the NG-EPON. Proposed wavelength allocation patterns make online decisions for …

In this paper we study the problem of scheduling variable-length frames in WDM-PON under
Stanford University access (SUCCESS), a next-generation hybrid WDM/TDM optical access …

Wavelength division multiplexing\time division multiplexing passive optical network
(WDM/TDM-PON) is the attractive candidate for PON bandwidth sharing among multiple …

Accurate prediction of traffic conditions on orthogonal frequency division multiple access
passive optical networks is important because of its vital role in network resource …