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 …

Machine and deep learning for resource allocation in multi-access edge computing: A survey

H Djigal, J Xu, L Liu, Y Zhang - IEEE Communications Surveys …, 2022 - ieeexplore.ieee.org
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …

The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)

F Firouzi, B Farahani, A Marinšek - Information Systems, 2022 - Elsevier
Abstract The Internet of Things (IoT) tsunami, public embracement, and the ubiquitous
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …

Forecast-assisted service function chain dynamic deployment for SDN/NFV-enabled cloud management systems

J Zhang, Y Liu, Z Li, Y Lu - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
Software-defined network (SDN) and network function virtualization (NFV) are
acknowledged as the most promising technologies to effectively allocate resource for …

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 mobility-aware multi-access edge computing: Challenges, use cases and future directions

R Singh, R Sukapuram, S Chakraborty - Ad Hoc Networks, 2023 - Elsevier
Many mobile and pervasive applications avail cloud services to reduce overheads in on-
device computation. The performance of these services depends on the available bandwidth …

Multi-access Edge Computing fundamentals, services, enablers and challenges: A complete survey

B Liang, MA Gregory, S Li - Journal of Network and Computer Applications, 2022 - Elsevier
Traffic over mobile cellular networks has significantly increased over the past decade, and
with the introduction of 5G there is a growing focus on throughput capacity, reliability, and …

Machine learning meets communication networks: Current trends and future challenges

I Ahmad, S Shahabuddin, H Malik, E Harjula… - IEEE …, 2020 - ieeexplore.ieee.org
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

[HTML][HTML] Machine learning-based zero-touch network and service management: A survey

J Gallego-Madrid, R Sanchez-Iborra, PM Ruiz… - Digital Communications …, 2022 - Elsevier
The exponential growth of mobile applications and services during the last years has
challenged the existing network infrastructures. Consequently, the arrival of multiple …

Fusion of IoT, AI, edge–fog–cloud, and blockchain: Challenges, solutions, and a case study in healthcare and medicine

F Firouzi, S Jiang, K Chakrabarty… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The digital transformation is characterized by the convergence of technologies—from the
Internet of Things (IoT) to edge–fog–cloud computing, artificial intelligence (AI), and …