[HTML][HTML] Artificial intelligence (AI) methods in optical networks: A comprehensive survey

J Mata, I De Miguel, RJ Durán, N Merayo… - Optical switching and …, 2018 - Elsevier
Artificial intelligence (AI) is an extensive scientific discipline which enables computer
systems to solve problems by emulating complex biological processes such as learning …

From 5G to beyond: Passive optical network and multi-access edge computing integration for latency-sensitive applications

I Dias, L Ruan, C Ranaweera, E Wong - Optical Fiber Technology, 2023 - Elsevier
A recent paradigm shift in support of 5G-and-beyond (5GB), Human-to-Machine/Robot
(H2M/R), and the Tactile Internet has resulted in a surge of latency-sensitive applications …

A survey on traffic prediction techniques using artificial intelligence for communication networks

A Chen, J Law, M Aibin - Telecom, 2021 - mdpi.com
Much research effort has been conducted to introduce intelligence into communication
networks in order to enhance network performance. Communication networks, both wired …

Predictive resource allocation for Tactile Internet capable passive optical LANs

E Wong, MPI Dias, L Ruan - Journal of Lightwave Technology, 2017 - opg.optica.org
The Tactile Internet promises new applications and services that harness real-time human-
machine interactions to revolutionize our everyday life. Its realization however, necessitates …

Machine learning-based bandwidth prediction for low-latency H2M applications

L Ruan, MPI Dias, E Wong - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
Human-to-machine (H2M) communications in emerging tactile-haptic applications are
characterized by stringent low-latency transmission. To achieve low-latency transmissions …

Enhancing latency performance through intelligent bandwidth allocation decisions: a survey and comparative study of machine learning techniques

L Ruan, MPI Dias, E Wong - Journal of Optical Communications and …, 2020 - opg.optica.org
Converged access networks consolidating 5G and beyond and fixed optical fiber access are
expected to support future latency-sensitive human-to-machine applications over the Tactile …

A techno-economic study of industry 5.0 enterprise deployments for human-to-machine communications

I Kardush, S Kim, E Wong - IEEE Communications Magazine, 2022 - ieeexplore.ieee.org
Ongoing disruptions from the persistence of COVID–19 are providing a strong impetus for
deploying Industry 5.0. With a focus on the collaboration between geographically separated …

Achieving low-latency human-to-machine (H2M) applications: An understanding of H2M traffic for AI-facilitated bandwidth allocation

L Ruan, MPI Dias, E Wong - IEEE Internet of things journal, 2020 - ieeexplore.ieee.org
Human-controlled and haptic feedback data in emerging Tactile Internet human-to-machine
(H2M) applications require stringent low-latency transmission. Understanding the traffic …

Dynamic bandwidth allocation algorithm with demand forecasting mechanism for bandwidth allocations in 10-gigabit-capable passive optical network

KA Memon, KH Mohammadani, AA Laghari, R Yadav… - Optik, 2019 - Elsevier
Abstract 10G-passive optical network (XG-PON) provides an emerging potential technology
to carry multiple services for the first-mile access network. However, it offers 0.3 ms …

Energy-efficient framework for time and wavelength division multiplexed passive optical networks

MPI Dias, DP Van, L Valcarenghi… - Journal of Optical …, 2015 - opg.optica.org
For the first time, to the best of our knowledge, an energy-efficient framework that optimizes
the number of active wavelengths and uses sleep/doze mode to improve the energy savings …