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 …
Deep learning for massive MIMO uplink detectors
MA Albreem, AH Alhabbash… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
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 …
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 …
complex tasks involved in wireless communications. Supported by recent advances in …
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 …
[HTML][HTML] Comprehensive survey of iot, machine learning, and blockchain for health care applications: A topical assessment for pandemic preparedness, challenges …
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 …
Artificial intelligence assisted technoeconomic optimization scenarios of hybrid energy systems for water management of an isolated community
R Tariq, AJ Cetina-Quiñones… - Sustainable Energy …, 2021 - Elsevier
Water is an essential resource demanded worldwide and it is quite debatable owing to the
economic, political, and energy characteristics of any region. Off-grid water filtration plants …
economic, political, and energy characteristics of any region. Off-grid water filtration plants …
[HTML][HTML] Towards cognitive authentication for smart healthcare applications
Secure and reliable sensing plays the key role for cognitive tracking ie, activity identification
and cognitive monitoring of every individual. Over the last years there has been an …
and cognitive monitoring of every individual. Over the last years there has been an …