Lead federated neuromorphic learning for wireless edge artificial intelligence

H Yang, KY Lam, L Xiao, Z Xiong, H Hu… - Nature …, 2022 - nature.com
In order to realize the full potential of wireless edge artificial intelligence (AI), very large and
diverse datasets will often be required for energy-demanding model training on resource …

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 …

Deep learning-powered vessel trajectory prediction for improving smart traffic services in maritime Internet of Things

RW Liu, M Liang, J Nie, WYB Lim… - … on Network Science …, 2022 - ieeexplore.ieee.org
The maritime Internet of Things (IoT) has recently emerged as a revolutionary
communication paradigm where a large number of moving vessels are closely …

6G enabled smart infrastructure for sustainable society: Opportunities, challenges, and research roadmap

AL Imoize, O Adedeji, N Tandiya, S Shetty - Sensors, 2021 - mdpi.com
The 5G wireless communication network is currently faced with the challenge of limited data
speed exacerbated by the proliferation of billions of data-intensive applications. To address …

6G ecosystem: Current status and future perspective

JR Bhat, SA Alqahtani - IEEE Access, 2021 - ieeexplore.ieee.org
Next-generation of the cellular network will attempt to overcome the limitations of the current
Fifth Generation (5G) networks and equip itself to address the challenges which become …

Metaheuristic optimization-based resource allocation technique for cybertwin-driven 6G on IoE environment

DK Jain, SKS Tyagi, S Neelakandan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Rapid advancements of sixth-generation (6G) network and Internet of Everything (IoE)
supports numerous emerging services and application. Increasing mobile internet traffic and …

Machine learning techniques for 5G and beyond

J Kaur, MA Khan, M Iftikhar, M Imran, QEU Haq - IEEE Access, 2021 - ieeexplore.ieee.org
Wireless communication systems play a very crucial role in modern society for
entertainment, business, commercial, health and safety applications. These systems keep …

[HTML][HTML] Vision and research directions of 6G technologies and applications

SAA Hakeem, HH Hussein, HW Kim - Journal of King Saud University …, 2022 - Elsevier
Abstract Fifth-generation (5G) mobile communication technology is now widely available in
several countries, with millions of 5G customers. Therefore, it's time for academia and …

Intelligent omni-surfaces: Simultaneous refraction and reflection for full-dimensional wireless communications

H Zhang, B Di - IEEE Communications Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The development of metasurfaces has unlocked various use cases in wireless
communication networks to improve performance by manipulating the propagation …

Machine learning technologies for secure vehicular communication in internet of vehicles: recent advances and applications

ES Ali, MK Hasan, R Hassan, RA Saeed… - Security and …, 2021 - Wiley Online Library
Recently, interest in Internet of Vehicles'(IoV) technologies has significantly emerged due to
the substantial development in the smart automobile industries. Internet of Vehicles' …