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 …

A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer

M Kulin, T Kazaz, E De Poorter, I Moerman - Electronics, 2021 - mdpi.com
This paper presents a systematic and comprehensive survey that reviews the latest research
efforts focused on machine learning (ML) based performance improvement of wireless …

Shared spectrum monitoring using deep learning

FA Bhatti, MJ Khan, A Selim… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Shared spectrum usage is inevitable due to the ongoing increase in wireless services and
bandwidth requirements. Spectrum monitoring is a key enabler for efficient spectrum sharing …

Technology recognition and traffic characterization for wireless technologies in ITS band

M Girmay, V Maglogiannis, D Naudts, M Aslam… - Vehicular …, 2023 - Elsevier
The rapid advancement of wireless technologies requires efficient spectrum management
considering issues such as interference management and fair coexistence between different …

Sswsrnet: A semi-supervised few-shot learning framework for wireless signal recognition

H Zhang, F Zhou, Q Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Wireless signal recognition (WSR) is crucial in modern and future wireless communication
networks since it aims to identify properties of the received signal. Although many deep …

Bluetooth‐Low‐Energy‐Based Fall Detection and Warning System for Elderly People in Nursing Homes

N De Raeve, A Shahid, M De Schepper… - Journal of …, 2022 - Wiley Online Library
Due to the ever growing population of elderly people, there is a dramatic increase in fall
accidents. Currently, multiple ideas exist to prevent the elderly from falling, by means of …

Towards enhancing spectrum sensing: Signal classification using autoencoders

S Subray, S Tschimben, K Gifford - IEEE Access, 2021 - ieeexplore.ieee.org
The demand for technologies relying on the radio spectrum, such as mobile communications
and IoT, has been growing exponentially. As a consequence, providing access to the radio …

Coexistence scheme for uncoordinated LTE and WiFi networks using experience replay based Q-learning

M Girmay, V Maglogiannis, D Naudts, A Shahid… - Sensors, 2021 - mdpi.com
Nowadays, broadband applications that use the licensed spectrum of the cellular network
are growing fast. For this reason, Long-Term Evolution-Unlicensed (LTE-U) technology is …

A multiscale CNN framework for wireless technique classification in Internet of Things

L Yuan, H Zhang, M Xu, F Zhou… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Wireless technique classification (WTC) is of crucial importance in Internet of Things for
realizing efficient spectrum sharing and interference management. However, the existing …

Energy-efficient resource allocation for ultra-dense licensed and unlicensed dual-access small cell networks

A Shahid, V Maglogiannis, I Ahmed… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In this study, an energy-efficient self-organized framework for sub-channel allocation and
power allocation is presented for ultra-dense small cell networks, which can operate in both …