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A survey of machine learning techniques applied to software defined networking (SDN): Research issues and challenges
In recent years, with the rapid development of current Internet and mobile communication
technologies, the infrastructure, devices and resources in networking systems are becoming …
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 …
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 …
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 …
(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
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 …
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) …
service provider (MEC-NSP) to provide customizable MEC services for user devices (UDs) …
Artificial intelligence for wireless caching: Schemes, performance, and challenges
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 …
consuming an ever-greater amount of bandwidth. With the advancement in technology there …
LACO: A latency-driven network slicing orchestration in beyond-5G networks
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 …
beyond, enlarging the telecom business ecosystem through still-unexplored vertical industry …
Energy cost optimization in dynamic placement of virtualized network function chains
Network function virtualization (NFV), with its virtualization technologies, brings cloud
computing to networking. Virtualized network functions (VNFs) are chained together to …
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 …
network and aim at maximizing the energy efficiency. The energy-efficient resource …
Low-latency orchestration for workflow-oriented service function chain in edge computing
To realize a cost-efficient, affordable, economical, flexible, elastic and innovative network
service, the concepts of Network Function Virtualization (NFV) and Software-Defined …
service, the concepts of Network Function Virtualization (NFV) and Software-Defined …