Zero touch management: A survey of network automation solutions for 5G and 6G networks

E Coronado, R Behravesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …

[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey

M Abbasi, A Shahraki, A Taherkordi - Computer Communications, 2021 - Elsevier
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …

[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 …

A Survey on Network Slicing Security: Attacks, Challenges, Solutions and Research Directions

C De Alwis, P Porambage, K Dev… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The dawn of softwarized networks enables Network Slicing (NS) as an important technology
towards allocating end-to-end logical networks to facilitate diverse requirements of emerging …

On the specialization of fdrl agents for scalable and distributed 6g ran slicing orchestration

F Rezazadeh, L Zanzi, F Devoti… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Network slicing enables multiple virtual networks to be instantiated and customized to meet
heterogeneous use case requirements over 5G and beyond network deployments …

Intelligent joint network slicing and routing via GCN-powered multi-task deep reinforcement learning

T Dong, Z Zhuang, Q Qi, J Wang, H Sun… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In 6G mobile systems, network slicing is an emerging technology to support services with
distinct requirements by dividing a common infrastructure into multiple logical networks …

Machine learning in network slicing—a survey

HP Phyu, D Naboulsi, R Stanica - IEEE Access, 2023 - ieeexplore.ieee.org
5G and beyond networks are expected to support a wide range of services, with highly
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …

Dynamic network slicing orchestration for remote adaptation and configuration in industrial IoT

L Ji, S He, W Wu, C Gu, J Bi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As an emerging and prospective paradigm, the industrial Internet of Things (IIoT) enable
intelligent manufacturing through the interconnection and interaction of industrial production …

Resource allocation for network slicing in mobile networks

A Banchs, G De Veciana, V Sciancalepore… - IEEE …, 2020 - ieeexplore.ieee.org
This paper provides a survey of resource allocation for network slicing. We focus on two
classes of existing solutions:(i) reservation-based approaches, which allocate resources on …

Henna: Hierarchical machine learning inference in programmable switches

ATJ Akem, B Bütün, M Gucciardo, M Fiore - Proceedings of the 1st …, 2022 - dl.acm.org
The recent proliferation of programmable network equipment has opened up new
possibilities for embedding intelligence into the data plane. Deploying models directly in the …