The role of 5G technologies in a smart city: The case for intelligent transportation system

A Gohar, G Nencioni - Sustainability, 2021 - mdpi.com
A smart city is an urban area that collects data using various electronic methods and
sensors. Smart cities rely on Information and Communication Technologies (ICT) and aim to …

Applications of artificial intelligence in engineering and manufacturing: A systematic review

IK Nti, AF Adekoya, BA Weyori… - Journal of Intelligent …, 2022 - Springer
Engineering and manufacturing processes and systems designs involve many challenges,
such as dynamism, chaotic behaviours, and complexity. Of late, the arrival of big data, high …

An overview of reinforcement learning algorithms for handover management in 5G ultra-dense small cell networks

J Tanveer, A Haider, R Ali, A Kim - Applied Sciences, 2022 - mdpi.com
The fifth generation (5G) wireless technology emerged with marvelous effort to state, design,
deployment and standardize the upcoming wireless network generation. Artificial …

Interference management in 5G and beyond network: Requirements, challenges and future directions

MUA Siddiqui, F Qamar, F Ahmed, QN Nguyen… - IEEE …, 2021 - ieeexplore.ieee.org
In the modern technological world, wireless communication has taken a massive leap from
the conventional communication system to a new radio communication network. The novel …

[HTML][HTML] A survey: Distributed Machine Learning for 5G and beyond

O Nassef, W Sun, H Purmehdi, M Tatipamula… - Computer Networks, 2022 - Elsevier
Abstract 5 G is the fifth generation of cellular networks. It enables billions of connected
devices to gather and share information in real time; a key facilitator in Industrial Internet of …

A survey of machine learning applications to handover management in 5G and beyond

MS Mollel, AI Abubakar, M Ozturk, SF Kaijage… - IEEE …, 2021 - ieeexplore.ieee.org
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …

Machine learning-based load balancing algorithms in future heterogeneous networks: A survey

E Gures, I Shayea, M Ergen, MH Azmi… - IEEE Access, 2022 - ieeexplore.ieee.org
The massive growth of mobile users and the essential need for high communication service
quality necessitate the deployment of ultra-dense heterogeneous networks (HetNets) …

Security in 5G and beyond recent advances and future challenges

F Salahdine, T Han, N Zhang - Security and Privacy, 2023 - Wiley Online Library
Abstract 5G, 6G, and beyond (xG) technologies aim at delivering emerging services with
new requirements and challenges, enabling full and hyper mobile connectivity over the …

A multiple-kernel clustering based intrusion detection scheme for 5G and IoT networks

N Hu, Z Tian, H Lu, X Du, M Guizani - International Journal of Machine …, 2021 - Springer
The 5G network provides higher bandwidth and lower latency for edge IoT devices to access
the core business network. But at the same time, it also expands the attack surface of the …

A machine learning approach to predict the k-coverage probability of wireless multihop networks considering boundary and shadowing effects

J Nagar, SK Chaturvedi, S Soh, A Singh - Expert Systems with Applications, 2023 - Elsevier
Network coverage is a pivotal performance metric of wireless multihop networks (WMNs)
determining the quality of service rendered by the network. Earlier, a few studies have …