[HTML][HTML] A survey on Zero touch network and Service Management (ZSM) for 5G and beyond networks

M Liyanage, QV Pham, K Dev, S Bhattacharya… - Journal of Network and …, 2022 - Elsevier
Faced with the rapid increase in smart Internet-of-Things (IoT) devices and the high demand
for new business-oriented services in the fifth-generation (5G) and beyond network, the …

AI-driven zero touch network and service management in 5G and beyond: Challenges and research directions

C Benzaid, T Taleb - Ieee Network, 2020 - ieeexplore.ieee.org
The foreseen complexity in operating and managing 5G and beyond networks has propelled
the trend toward closed-loop automation of network and service management operations. To …

Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions

ME Morocho-Cayamcela, H Lee, W Lim - IEEE access, 2019 - ieeexplore.ieee.org
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

QoE management of multimedia streaming services in future networks: A tutorial and survey

AA Barakabitze, N Barman, A Ahmad… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
The highly demanding Over-The-Top (OTT) multimedia applications pose increased
challenges to Internet Service Providers (ISPs) for assuring a reasonable Quality of …

[HTML][HTML] From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey

MN Mahdi, AR Ahmad, QS Qassim, H Natiq… - Applied Sciences, 2021 - mdpi.com
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …

A survey of networking applications applying the software defined networking concept based on machine learning

Y Zhao, Y Li, X Zhang, G Geng, W Zhang, Y Sun - IEEE access, 2019 - ieeexplore.ieee.org
The main task of future networks is to build, as much as possible, intelligent networking
architectures for intellectualization, activation, and customization. Software-defined …

[HTML][HTML] SDN and NFV for QoE-driven multimedia services delivery: The road towards 6G and beyond networks

AA Barakabitze, R Walshe - Computer Networks, 2022 - Elsevier
The concept for developing the future mobile communication systems has been explored in
recent years with a vision towards 5G and 6G systems. Meeting performance targets such as …

[HTML][HTML] Deep learning at the mobile edge: Opportunities for 5G networks

M McClellan, C Cervelló-Pastor, S Sallent - Applied Sciences, 2020 - mdpi.com
Mobile edge computing (MEC) within 5G networks brings the power of cloud computing,
storage, and analysis closer to the end user. The increased speeds and reduced delay …

A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems

A Salh, L Audah, NSM Shah, A Alhammadi… - IEEE …, 2021 - ieeexplore.ieee.org
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …

Software-defined networks for resource allocation in cloud computing: A survey

A Mohamed, M Hamdan, S Khan, A Abdelaziz… - Computer Networks, 2021 - Elsevier
Cloud computing has a shared set of resources, including physical servers, networks,
storage, and user applications. Resource allocation is a critical issue for cloud computing …