AI-assisted PHY technologies for 6G and beyond wireless networks

R Sattiraju, A Weinand, HD Schotten - arXiv preprint arXiv:1908.09523, 2019 - arxiv.org
Machine Learning (ML) and Artificial Intelligence (AI) have become alternative approaches
in wireless networksbeside conventional approaches such as model based …

Pervasive artificial intelligence in next generation wireless: The Hexa-X project perspective

M Filippou, V Lamprousi, J Mohammadi… - CEUR WORKSHOP …, 2022 - arpi.unipi.it
The European 6G flagship project Hexa-X has the objective to conduct exploratory research
on the next generation of mobile networks with the intention to connect human, physical and …

ML/AI Empowered 5G and beyond Networks

M Al-Khafaji, L Elwiya - 2022 International Congress on Human …, 2022 - ieeexplore.ieee.org
The emergence of wireless communication systems heralds the development of new
technologies such as virtual reality, autonomous vehicles, Internet of things, autonomous …

Artificial intelligence in 5G technology: A survey

MEM Cayamcela, W Lim - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
A fully operative and efficient 5G network cannot be complete without the inclusion of
artificial intelligence (AI) routines. Existing 4G networks with all-IP (Internet Protocol) …

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 …

Artificial intelligence and machine learning in 5G and beyond: a survey and perspectives

A Haidine, FZ Salmam, A Aqqal… - … technologies for 5G and …, 2021 - books.google.com
The deployment of 4G/LTE (Long Term Evolution) mobile network has solved the major
challenge of high capacities, to build real broadband mobile Internet. This was possible …

Artificial intelligence for 6G networks: Technology advancement and standardization

MK Shehzad, L Rose, MM Butt… - IEEE Vehicular …, 2022 - ieeexplore.ieee.org
With the deployment of 5G networks, standards organizations have started working on the
design phase for 6G networks. 6G networks will be immensely complex, requiring more …

Machine learning paradigms for next-generation wireless networks

C Jiang, H Zhang, Y Ren, Z Han… - IEEE Wireless …, 2016 - ieeexplore.ieee.org
Next-generation wireless networks are expected to support extremely high data rates and
radically new applications, which require a new wireless radio technology paradigm. The …

Applicability domains of machine learning in next generation radio access networks

R Ferrús, O Sallent, J Pérez-Romero… - 2019 International …, 2019 - ieeexplore.ieee.org
The Radio Access Network (RAN) is envisaged to undergo a significant transformation in the
context of 5G and beyond mobile communications systems. One of the driving forces behind …

A flexible machine-learning-aware architecture for future WLANs

F Wilhelmi, S Barrachina-Muñoz… - IEEE …, 2020 - ieeexplore.ieee.org
Lots of hopes have been placed on machine learning (ML) as a key enabler of future
wireless networks. By taking advantage of large volumes of data, ML is expected to deal with …