[PDF][PDF] A state of art for smart gateways issues and modification

LM Abdulrahman, SR Zeebaree, SF Kak… - Asian Journal of …, 2021 - academia.edu
ABSTRACT The Internet of Things (IoT) is a collection of objects such as sensors, actuators,
and processors, which interconnected within a specific network to perform a task …

A review of machine learning-based failure management in optical networks

D Wang, C Zhang, W Chen, H Yang, M Zhang… - Science China …, 2022 - Springer
Failure management plays a significant role in optical networks. It ensures secure operation,
mitigates potential risks, and executes proactive protection. Machine learning (ML) is …

Networking systems of AI: On the convergence of computing and communications

L Song, X Hu, G Zhang, P Spachos… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Artificial intelligence (AI) and 5G system have been two hot technical areas that are
changing the world. On the deep convergence of computing and communication, networking …

[HTML][HTML] Towards enhanced mobile broadband communications: A tutorial on enabling technologies, design considerations, and prospects of 5G and beyond fixed …

IA Alimi, RK Patel, NJ Muga, AN Pinto, AL Teixeira… - Applied Sciences, 2021 - mdpi.com
There has been a growing interconnection across the world owing to various multimedia
applications and services. Fixed wireless access (FWA) is an attractive wireless solution for …

Fault localization based on knowledge graph in software-defined optical networks

Z Li, Y Zhao, Y Li, S Rahman, F Wang… - Journal of Lightwave …, 2021 - opg.optica.org
In the era of the fifth-generation fixed network (F5G), optical networks must be developed to
support large bandwidth, low latency, high reliability, and intelligent management. Studies …

ANN-based multi-channel QoT-prediction over a 563.4-km field-trial testbed

Z Gao, S Yan, J Zhang, M Mascarenhas… - Journal of Lightwave …, 2020 - ieeexplore.ieee.org
In this article, artificial neural network (ANN)-based multi-channel Q-factor prediction is
investigated with real-time network operation and configuration information over a 563.4-km …

Demonstration of fault localization in optical networks based on knowledge graph and graph neural network

Z Li, Y Zhao, Y Li, S Rahman, X Yu… - 2020 Optical Fiber …, 2020 - ieeexplore.ieee.org
Demonstration of Fault Localization in Optical Networks Based on Knowledge Graph and Graph
Neural Network Page 1 Th1F.5.pdf OFC 2020 © OSA 2020 Demonstration of Fault Localization …

Auxiliary graph based routing, wavelength, and time-slot assignment in metro quantum optical networks with a novel node structure

K Dong, Y Zhao, X Yu, A Nag, J Zhang - Optics express, 2020 - opg.optica.org
Nowadays, critical sectors in government, finance, and military are facing increasingly high
security challenges. However, traditional public-key crypto-systems based on computational …

Gradual migration of co-existing fixed/flexible optical networks for cloud-fog computing

R Zhu, S Li, P Wang, Y Tan, J Yuan - IEEE Access, 2020 - ieeexplore.ieee.org
Fog computing emerges as a great candidate to mitigate the unsolved problems of cloud
computing. Data migration between fog nodes and datacenters is placing huge bandwidth …

Deep learning and hierarchical graph-assisted crosstalk-aware fragmentation avoidance strategy in space division multiplexing elastic optical networks

Y Xiong, Y Ye, H Zhang, J He, B Wang, K Yang - Optics express, 2020 - opg.optica.org
Space division multiplexing elastic optical networks (SDM-EONs) with multi-core fiber (MCF)
are the promising candidate for future optical networks due to their high transmission …