A survey of machine learning techniques applied to software defined networking (SDN): Research issues and challenges

J **e, FR Yu, T Huang, R **e, J Liu… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
In recent years, with the rapid development of current Internet and mobile communication
technologies, the infrastructure, devices and resources in networking systems are becoming …

Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities

S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …

[HTML][HTML] Network threat detection using machine/deep learning in sdn-based platforms: a comprehensive analysis of state-of-the-art solutions, discussion, challenges …

N Ahmed, A Ngadi, JM Sharif, S Hussain, M Uddin… - Sensors, 2022 - mdpi.com
A revolution in network technology has been ushered in by software defined networking
(SDN), which makes it possible to control the network from a central location and provides …

A prediction-based charging policy and interference mitigation approach in the wireless powered Internet of Things

L Li, Y Xu, Z Zhang, J Yin, W Chen… - IEEE Journal on …, 2018 - ieeexplore.ieee.org
The Internet of Things (IoT) technology has recently drawn more attention due to its ability to
achieve the interconnections of massive physic devices. However, how to provide a reliable …

MEC network slicing: Stackelberg-game-based slice pricing and resource allocation with QoS guarantee

W Fan, X Li, B Tang, Y Su, Y Liu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In multi-access edge computing (MEC) networks, network slicing enables the MEC network
service provider (MEC-NSP) to provide customizable MEC services for user devices (UDs) …

Artificial intelligence for wireless caching: Schemes, performance, and challenges

M Sheraz, M Ahmed, X Hou, Y Li, D **… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Wireless data traffic is growing unprecedentedly and it may impede network performance by
consuming an ever-greater amount of bandwidth. With the advancement in technology there …

LACO: A latency-driven network slicing orchestration in beyond-5G networks

L Zanzi, V Sciancalepore… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Network Slicing is expected to become a game changer in the upcoming 5G networks and
beyond, enlarging the telecom business ecosystem through still-unexplored vertical industry …

Energy cost optimization in dynamic placement of virtualized network function chains

B Kar, EHK Wu, YD Lin - IEEE Transactions on Network and …, 2017 - ieeexplore.ieee.org
Network function virtualization (NFV), with its virtualization technologies, brings cloud
computing to networking. Virtualized network functions (VNFs) are chained together to …

Super-modular game-based user scheduling and power allocation for energy-efficient NOMA network

G Liu, R Wang, H Zhang, W Kang… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
In this paper, we consider a single cell downlink non-orthogonal multiple access (NOMA)
network and aim at maximizing the energy efficiency. The energy-efficient resource …

Low-latency orchestration for workflow-oriented service function chain in edge computing

G Sun, Y Li, Y Li, D Liao, V Chang - Future Generation Computer Systems, 2018 - Elsevier
To realize a cost-efficient, affordable, economical, flexible, elastic and innovative network
service, the concepts of Network Function Virtualization (NFV) and Software-Defined …