Measurement and classification of smart systems data traffic over 5G mobile networks

M Dighriri, GM Lee, T Baker - Technology for smart futures, 2018 - Springer
Abstract Machine-to-Machine communication is rapidly growing and becoming a significant
part of the current 4G and future 5G mobile network data traffic, which is intended to provide …

Data traffic model in machine to machine communications over 5G network slicing

M Dighriri, ASD Alfoudi, GM Lee… - 2016 9th International …, 2016 - ieeexplore.ieee.org
The recent advancements in cellular communication domain have resulted in the
emergence of Machine-to-Machine applications, in support of the wide range and coverage …

Big data environment for smart healthcare applications over 5g mobile network

M Dighriri, GM Lee, T Baker - Applications of Big Data Analytics: Trends …, 2018 - Springer
Recent innovations and advances in mobile networking technologies have resulted in the
emergence of smart services in various different application domains, in support of high …

Machine learning based mobile data traffic prediction in 5g cellular networks

E Selvamanju, VB Shalini - 2021 5th International Conference …, 2021 - ieeexplore.ieee.org
The rapid evolution of cellular technologies has resulted in a drastic increase in mobile data
traffic. Particularly, in 5G cellular networks, the design of accurate time-series models …

Applying scheduling mechanisms over 5g cellular network packets traffic

M Dighriri, GM Lee, T Baker - Third International Congress on Information …, 2019 - Springer
Choosing an appropriate packet traffic scheduling mechanism is a critical element in a case
of enhancing quality of service over 5G mobile networks, especially, in the near future …

Traffic classification for network slicing in mobile networks

Á Gabilondo, Z Fernández, R Viola, Á Martín, M Zorrilla… - Electronics, 2022 - mdpi.com
Network slicing is a promising technique used in the smart delivery of traffic and can satisfy
the requirements of specific applications or systems based on the features of the 5G …

Characterizing flow, application, and user behavior in mobile networks: A framework for mobile big data

Y Qiao, Z Xing, ZM Fadlullah, J Yang… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
The recent explosion of data traffic calls for specialized systems to monitor the status of
networks. Traditionally, Internet service providers collect and analyze IP flow data as they …

Mobile traffic forecasting for maximizing 5G network slicing resource utilization

V Sciancalepore, K Samdanis… - … -IEEE conference on …, 2017 - ieeexplore.ieee.org
The emerging network slicing paradigm for 5G provides new business opportunities by
enabling multi-tenancy support. At the same time, new technical challenges are introduced …

Artificial intelligence to manage network traffic of 5G wireless networks

Y Fu, S Wang, CX Wang, X Hong… - IEEE network, 2018 - ieeexplore.ieee.org
The deployment of 5G wireless communication systems is projected to begin in 2020. With
new scenarios, new technologies, and new network architectures, the traffic management for …

Traffic analysis for 5G network slice based on machine learning

F Xie, D Wei, Z Wang - EURASIP Journal on Wireless Communications …, 2021 - Springer
With the rise of 5G and Internet of things, especially the key technology of 5G, network slice
cuts a physical network into multiple virtual end-to-end networks, each of them can obtain …