Applying big data, machine learning, and SDN/NFV to 5G traffic clustering, forecasting, and management

LV Le, D Sinh, BSP Lin, LP Tung - 2018 4th IEEE Conference …, 2018 - ieeexplore.ieee.org
Traffic clustering, forecasting, and management play a crucial role in improving network
efficiency, network quality, load balancing (LB), and energy saving of mobile networks …

A practical model for traffic forecasting based on big data, machine-learning, and network KPIs

LV Le, D Sinh, LP Tung, BSP Lin - 2018 15th IEEE Annual …, 2018 - ieeexplore.ieee.org
Traffic forecasting plays an important role in improving network quality and energy saving of
mobile networks. In 5G, traffic forecasting directly influences the self-organizing network …

SDN/NFV, machine learning, and big data driven network slicing for 5G

LV Le, BSP Lin, LP Tung, D Sinh - 2018 IEEE 5G World Forum …, 2018 - ieeexplore.ieee.org
5G networks are expected to be able to satisfy a variety of vertical services for mobile users,
business demands, and automotive industry. Network slicing is a promising technology for …

Improving traffic forecasting for 5G core network scalability: A machine learning approach

I Alawe, A Ksentini, Y Hadjadj-Aoul, P Bertin - IEEE Network, 2018 - ieeexplore.ieee.org
5G is expected to provide network connectivity to not only classical devices (ie, tablets,
smartphones, etc.) but also to the IoT, which will drastically increase the traffic load carried …

Edge intelligence in softwarized 6G: Deep learning-enabled network traffic predictions

S Zeb, MA Rathore, A Mahmood… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
The 6G vision is envisaged to enable agile network expansion and rapid deployment of new
on-demand microservices (eg, visibility services for data traffic management, mobile edge …

Research on SDN/NFV network traffic management and optimization based on big data and artificial intelligence

A Guo, C Yuan, G He, L Xu - 2018 18th International …, 2018 - ieeexplore.ieee.org
The use of big data, artificial intelligence technology in software-defined network (SDN) and
network function virtualization (NFV) to achieve intelligent network traffic management and …

Cloud native 5g virtual network functions: Design principles and use cases

S Imadali, A Bousselmi - 2018 IEEE 8th International …, 2018 - ieeexplore.ieee.org
The advent of 5G and its ever increasing stringent requirements for bandwidth, latency, and
quality of service pushes the boundaries of legacy Mobile Network Operators' technologies …

Using small cells for enhancing 5G network facilities

IP Chochliouros, A Kostopoulos… - … IEEE Conference on …, 2017 - ieeexplore.ieee.org
The 5G ESSENCE project context is based on the concept of Edge cloud computing and
Small Cell-as-a-Service (SCaaS) and further “promotes” their role and/or influences within …

Consideration on automation of 5G network slicing with machine learning

VP Kafle, Y Fukushima, P Martinez-Julia… - … Learning for a 5G …, 2018 - ieeexplore.ieee.org
Machine learning has the capability to provide simpler solutions to complex problems by
analyzing a huge volume of data in a short time, learning for adapting its functionality to …

Demonstration of latency-aware and self-adaptive service chaining in 5G/SDN/NFV infrastructures

M Gharbaoui, C Contoli, G Davoli… - … IEEE Conference on …, 2018 - ieeexplore.ieee.org
This paper will demonstrate an orchestration system for 5G infrastructure supporting latency-
minimized and self-adaptive service chaining over geographically distributed edge clouds …