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 …

Security requirements and challenges of 6G technologies and applications

SA Abdel Hakeem, HH Hussein, HW Kim - Sensors, 2022 - mdpi.com
After implementing 5G technology, academia and industry started researching 6th
generation wireless network technology (6G). 6G is expected to be implemented around the …

Quantum machine learning for 6G communication networks: State-of-the-art and vision for the future

SJ Nawaz, SK Sharma, S Wyne, MN Patwary… - IEEE …, 2019 - ieeexplore.ieee.org
The upcoming fifth generation (5G) of wireless networks is expected to lay a foundation of
intelligent networks with the provision of some isolated artificial intelligence (AI) operations …

[HTML][HTML] Security and privacy in 6G networks: New areas and new challenges

M Wang, T Zhu, T Zhang, J Zhang, S Yu… - Digital Communications …, 2020 - Elsevier
With the deployment of more and more 5g networks, the limitations of 5g networks have
been found, which undoubtedly promotes the exploratory research of 6G networks as the …

6G: A comprehensive survey on technologies, applications, challenges, and research problems

HHH Mahmoud, AA Amer… - Transactions on Emerging …, 2021 - Wiley Online Library
The inherent limitations of the network keep on going to be revealed with the continuous
deployment of cellular networks. The next generation 6G is motivated by these drawbacks to …

Anomaly detection in 6G networks using machine learning methods

MM Saeed, RA Saeed, M Abdelhaq, R Alsaqour… - Electronics, 2023 - mdpi.com
While the cloudification of networks with a micro-services-oriented design is a well-known
feature of 5G, the 6G era of networks is closely related to intelligent network orchestration …

Learning-based resource allocation for backscatter-aided vehicular networks

WU Khan, TN Nguyen, F Jameel… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Heterogeneous backscatter networks are emerging as a promising solution to address the
proliferating coverage and capacity demands of next-generation vehicular networks …

Machine learning-based technique for gain and resonance prediction of mid band 5G Yagi antenna

MA Haque, MA Rahman, SS Al-Bawri, Z Yusoff… - Scientific Reports, 2023 - nature.com
In this study, we present our findings from investigating the use of a machine learning (ML)
technique to improve the performance of Quasi-Yagi–Uda antennas operating in the n78 …

Applications of Machine Learning and Deep Learning in Antenna Design, Optimization and Selection: A Review

N Sarker, P Podder, MRH Mondal, SS Shafin… - IEEE …, 2023 - ieeexplore.ieee.org
This review paper provides an overview of the latest developments in artificial intelligence
(AI)-based antenna design and optimization for wireless communications. Machine learning …

The state of AI-empowered backscatter communications: A comprehensive survey

F Xu, T Hussain, M Ahmed, K Ali… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) is undergoing significant advancements, driven by the
emergence of backscatter communication (BC) and artificial intelligence (AI). BC is an …