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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 …
A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer
This paper presents a systematic and comprehensive survey that reviews the latest research
efforts focused on machine learning (ML) based performance improvement of wireless …
efforts focused on machine learning (ML) based performance improvement of wireless …
Shared spectrum monitoring using deep learning
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 …
bandwidth requirements. Spectrum monitoring is a key enabler for efficient spectrum sharing …
Technology recognition and traffic characterization for wireless technologies in ITS band
The rapid advancement of wireless technologies requires efficient spectrum management
considering issues such as interference management and fair coexistence between different …
considering issues such as interference management and fair coexistence between different …
Sswsrnet: A semi-supervised few-shot learning framework for wireless signal recognition
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 …
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 …
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 …
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
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 …
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
Wireless technique classification (WTC) is of crucial importance in Internet of Things for
realizing efficient spectrum sharing and interference management. However, the existing …
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
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 …
power allocation is presented for ultra-dense small cell networks, which can operate in both …