Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
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 …
position in providing Internet access thanks to their freedom of deployment and configuration …
NOMA and future 5G & B5G wireless networks: A paradigm
For the last few decades, wireless communication has been facing a technological
revolution. High data rate and continuous connectivity are the necessities because the …
revolution. High data rate and continuous connectivity are the necessities because the …
Communication-efficient and distributed learning over wireless networks: Principles and applications
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 …
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …
Towards 6G-enabled internet of vehicles: Security and privacy
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 …
started with some potential disruptive technologies resonating as enablers for driving the …
Adversarial machine learning in wireless communications using RF data: A review
Machine learning (ML) provides effective means to learn from spectrum data and solve
complex tasks involved in wireless communications. Supported by recent advances in …
complex tasks involved in wireless communications. Supported by recent advances in …
Deep learning for massive MIMO uplink detectors
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 …
attention in both academia and industry. Detection techniques have a significant impact on …
Energy-sustainable iot connectivity: Vision, technological enablers, challenges, and future directions
Technology solutions must effectively balance economic growth, social equity, and
environmental integrity to achieve a sustainable society. Notably, although the Internet of …
environmental integrity to achieve a sustainable society. Notably, although the Internet of …
Machine learning for energy-resource allocation, workflow scheduling and live migration in cloud computing: State-of-the-art survey
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 …
when pragmatic to a wide range of complex problems and areas such as energy …
Comprehensive survey of iot, machine learning, and blockchain for health care applications: A topical assessment for pandemic preparedness, challenges, and …
Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …
various domains, especially in health monitoring systems. Machine learning techniques …
[HTML][HTML] A machine learning based distributed congestion control protocol for multi-hop wireless networks
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 …
growth in the next years. This growth will be further supported by the current possibility of …