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 …

ColO-RAN: Develo** machine learning-based xApps for open RAN closed-loop control on programmable experimental platforms

M Polese, L Bonati, S D'Oro, S Basagni… - IEEE Transactions on …, 2022‏ - ieeexplore.ieee.org
Cellular networks are undergoing a radical transformation toward disaggregated, fully
virtualized, and programmable architectures with increasingly heterogeneous devices and …

AI-assisted network-slicing based next-generation wireless networks

X Shen, J Gao, W Wu, K Lyu, M Li… - IEEE Open Journal …, 2020‏ - ieeexplore.ieee.org
The integration of communications with different scales, diverse radio access technologies,
and various network resources renders next-generation wireless networks (NGWNs) highly …

Opportunistic capacity based resource allocation for 6G wireless systems with network slicing

J Huang, F Yang, C Chakraborty, Z Guo… - Future Generation …, 2023‏ - Elsevier
With the rapid increase of wireless application demand, 6G Wireless Systems need to further
support the heterogeneous communication service contents with limited spectrum …

A comprehensive survey of enabling and emerging technologies for social distancing—Part I: Fundamentals and enabling technologies

CT Nguyen, YM Saputra, N Van Huynh… - Ieee …, 2020‏ - ieeexplore.ieee.org
Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses
such as COVID-19. By minimizing the close physical contact among people, we can reduce …

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 …

Disaster and pandemic management using machine learning: a survey

V Chamola, V Hassija, S Gupta, A Goyal… - IEEE Internet of …, 2020‏ - ieeexplore.ieee.org
This article provides a literature review of state-of-the-art machine learning (ML) algorithms
for disaster and pandemic management. Most nations are concerned about disasters and …

Networking systems of AI: On the convergence of computing and communications

L Song, X Hu, G Zhang, P Spachos… - IEEE Internet of …, 2022‏ - ieeexplore.ieee.org
Artificial intelligence (AI) and 5G system have been two hot technical areas that are
changing the world. On the deep convergence of computing and communication, networking …

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 …