Temporal link prediction: A unified framework, taxonomy, and review

M Qin, DY Yeung - ACM Computing Surveys, 2023 - dl.acm.org
Dynamic graphs serve as a generic abstraction and description of the evolutionary
behaviors of various complex systems (eg, social networks and communication networks) …

Real‐World Wireless Network Modeling and Optimization: From Model/Data‐Driven Perspective

Y Li, S Zhang, X Ren, J Zhu, J Huang… - Chinese Journal of …, 2022 - Wiley Online Library
With the rapid development of the fifthgeneration wireless communication systems, a
profound revolution in terms of transmission capacity, energy efficiency, reliability, latency …

[HTML][HTML] 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 …

Long-term prediction of multiple types of time-varying network traffic using chunk-based ensemble learning

A Knapińska, P Lechowicz, W Węgier… - Applied Soft Computing, 2022 - Elsevier
With the development of networking technologies, global Internet traffic is constantly
increasing. Moreover, various traffic types associated with a variety of network services and …

Machine learning techniques in optical networks: a systematic mapping study

G Villa, C Tipantuña, D Guamán, GV Arévalo… - IEEE …, 2023 - ieeexplore.ieee.org
During the last decade, optical networks have become “smart networks”. Software-defined
networks, software-defined optical networks, and elastic optical networks are some …

On advantages of traffic prediction and grooming for provisioning of time-varying traffic in multilayer networks

A Knapińska, P Lechowicz, S Spadaro… - … on Optical Network …, 2023 - ieeexplore.ieee.org
The constantly increasing traffic volume triggers the fast development of new optimization
methods for backbone optical networks. Operators seek new ways to improve several …

[HTML][HTML] Using convolutional neural networks for blocking prediction in elastic optical networks

F Nourmohammadi, C Parmar, E Wings, J Comellas - Applied Sciences, 2024 - mdpi.com
This paper presents a study on connection-blocking prediction in Elastic Optical Networks
(EONs) using Convolutional Neural Networks (CNNs). In EONs, connections are established …

On feature selection in short-term prediction of backbone optical network traffic

A Knapińska, K Półtorak, D Poręba… - … on Optical Network …, 2022 - ieeexplore.ieee.org
The knowledge about future traffic volumes is beneficial for the network operators in many
areas. Short-term forecasting of multiple traffic types helps with efficient resource utilization …

Short-Term Network Traffic Prediction with Multilayer Perceptron

A Ganowicz, B Starosta, A Knapińska… - 2022 6th SLAAI …, 2022 - ieeexplore.ieee.org
The constantly increasing internet traffic and rising network requirements trigger fast
development and implementation of new networking architectures and technologies …

Mobile network traffic analysis based on probability-informed machine learning approach

A Gorshenin, A Kozlovskaya, S Gorbunov… - Computer Networks, 2024 - Elsevier
The paper proposes an approach to the joint use of statistical and machine learning (ML)
models to solve the problems of the precise reconstruction of historical events, real-time …