Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning

S Szott, K Kosek-Szott, P Gawłowicz… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …

NOMA and future 5G & B5G wireless networks: A paradigm

U Ghafoor, M Ali, HZ Khan, AM Siddiqui… - Journal of Network and …, 2022 - Elsevier
For the last few decades, wireless communication has been facing a technological
revolution. High data rate and continuous connectivity are the necessities because the …

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 …

Communication-efficient and distributed learning over wireless networks: Principles and applications

J Park, S Samarakoon, A Elgabli, J Kim… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Machine learning (ML) is a promising enabler for the fifth-generation (5G) communication
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …

6G enabled advanced transportation systems

R Liu, M Hua, K Guan, X Wang, L Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
With the emergence of communication services with stringent requirements such as
autonomous driving or on-flight Internet, the sixth-generation (6G) wireless network is …

Adversarial machine learning in wireless communications using RF data: A review

D Adesina, CC Hsieh, YE Sagduyu… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Machine learning (ML) provides effective means to learn from spectrum data and solve
complex tasks involved in wireless communications. Supported by recent advances in …

Energy-sustainable IoT connectivity: Vision, technological enablers, challenges, and future directions

OLA López, OM Rosabal… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Technology solutions must effectively balance economic growth, social equity, and
environmental integrity to achieve a sustainable society. Notably, although the Internet of …

Security of satellite-terrestrial communications: Challenges and potential solutions

I Ahmad, J Suomalainen, P Porambage, A Gurtov… - IEEE …, 2022 - ieeexplore.ieee.org
The integration of satellite and terrestrial networks has become inevitable in the next
generations of communications networks due to emerging needs of ubiquitous connectivity …

[HTML][HTML] A machine learning based Distributed Congestion Control Protocol for multi-hop wireless networks

JPA León, LJ de la Cruz Llopis, FJ Rico-Novella - Computer Networks, 2023 - Elsevier
The application areas of multi-hop wireless networks are expected to experience sustained
growth in the next years. This growth will be further supported by the current possibility of …

Machine learning for energy-resource allocation, workflow scheduling and live migration in cloud computing: State-of-the-art survey

Y Kumar, S Kaul, YC Hu - Sustainable Computing: Informatics and Systems, 2022 - Elsevier
Abstract Machine learning and artificial intelligence techniques have been proven helpful
when pragmatic to a wide range of complex problems and areas such as energy …