Study and investigation on 5G technology: A systematic review

R Dangi, P Lalwani, G Choudhary, I You, G Pau - Sensors, 2021 - mdpi.com
In wireless communication, Fifth Generation (5G) Technology is a recent generation of
mobile networks. In this paper, evaluations in the field of mobile communication technology …

Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects

T Berghout, M Benbouzid, SM Muyeen - International Journal of Critical …, 2022 - Elsevier
Abstract In modern Smart Grids (SGs) ruled by advanced computing and networking
technologies, condition monitoring relies on secure cyberphysical connectivity. Due to this …

Towards 6G-enabled internet of vehicles: Security and privacy

DPM Osorio, I Ahmad, JDV Sánchez… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
The conceptualisation of the sixth generation of mobile wireless networks (6G) has already
started with some potential disruptive technologies resonating as enablers for driving the …

Deep learning for massive MIMO uplink detectors

MA Albreem, AH Alhabbash… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Detection techniques for massive multiple-input multiple-output (MIMO) have gained a lot of
attention in both academia and industry. Detection techniques have a significant impact on …

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 …

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) …

Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures

B Ozpoyraz, AT Dogukan, Y Gevez… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …

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 …

5G, 6G, and Beyond: Recent advances and future challenges

F Salahdine, T Han, N Zhang - Annals of Telecommunications, 2023 - Springer
With the high demand for advanced services and the increase in the number of connected
devices, current wireless communication systems are required to expand to meet the users' …