Thirty years of machine learning: The road to Pareto-optimal wireless networks

J Wang, C Jiang, H Zhang, Y Ren… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …

6G: The next horizon: From connected people and things to connected intelligence

B Rong - IEEE Wireless Communications, 2021 - ieeexplore.ieee.org
This book presents an in-depth technical understanding of 6G wireless networks. It not only
discusses cutting-edge wireless services and technologies, but also sheds light on the …

Intelligence in IoT-based 5G networks: Opportunities and challenges

N Javaid, A Sher, H Nasir… - IEEE Communications …, 2018 - ieeexplore.ieee.org
The requirement of high data rates, low latency, efficient use of spectrum, and coexistence of
different network technologies are major considerations in Internet of Things (IoT)-based fifth …

Exploring the road to 6G: ABC—foundation for intelligent mobile networks

J Zhu, M Zhao, S Zhang, W Zhou - China Communications, 2020 - ieeexplore.ieee.org
The 5th generation (5G) mobile networks has been put into services across a number of
markets, which aims at providing subscribers with high bit rates, low latency, high capacity …

Wireless network intelligence at the edge

J Park, S Samarakoon, M Bennis… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Fueled by the availability of more data and computing power, recent breakthroughs in cloud-
based machine learning (ML) have transformed every aspect of our lives from face …

Towards ubiquitous AI in 6G with federated learning

Y Xiao, G Shi, M Krunz - arXiv preprint arXiv:2004.13563, 2020 - arxiv.org
With 5G cellular systems being actively deployed worldwide, the research community has
started to explore novel technological advances for the subsequent generation, ie, 6G. It is …

[PDF][PDF] Machine learning for wireless networks with artificial intelligence: A tutorial on neural networks

M Chen, U Challita, W Saad, C Yin… - arXiv preprint arXiv …, 2017 - researchgate.net
Next-generation wireless networks must support ultra-reliable, low-latency communication
and intelligently manage a massive number of Internet of Things (IoT) devices in real-time …

6G Visions: Mobile ultra-broadband, super internet-of-things, and artificial intelligence

L Zhang, YC Liang, D Niyato - China Communications, 2019 - ieeexplore.ieee.org
With a ten-year horizon from concept to reality, it is time now to start thinking about what will
the sixth-generation (6G) mobile communications be on the eve of the fifth-generation (5G) …

A review towards AI empowered 6G communication requirements, applications, and technologies in mobile edge computing

A Bandi - 2022 6th International Conference on Computing …, 2022 - ieeexplore.ieee.org
As we go beyond 5G and towards 6G wireless networks, artificial intelligence and machine
learning solutions will be critical for various applications that execute at the edge nodes …

[HTML][HTML] The shift to 6G communications: Vision and requirements

MW Akhtar, SA Hassan, R Ghaffar, H Jung… - … -centric Computing and …, 2020 - Springer
Abstract The sixth-generation (6G) wireless communication network is expected to integrate
the terrestrial, aerial, and maritime communications into a robust network which would be …