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 review on machine learning and deep learning for various antenna design applications
The next generation of wireless communication networks will rely heavily on machine
learning and deep learning. In comparison to traditional ground-based systems, the …
learning and deep learning. In comparison to traditional ground-based systems, the …
A survey of machine learning applications to handover management in 5G and beyond
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …
networks that need to be properly managed since it poses multiple threats to quality-of …
LIDAR data for deep learning-based mmWave beam-selection
A Klautau, N González-Prelcic… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
Millimeter wave (mmWave) communication systems can leverage information from sensors
to reduce the overhead associated with link configuration. Light detection and ranging …
to reduce the overhead associated with link configuration. Light detection and ranging …
Flash: Federated learning for automated selection of high-band mmwave sectors
Fast sector-steering in the mmWave band for vehicular mobility scenarios remains an open
challenge. This is because standard-defined exhaustive search over predefined antenna …
challenge. This is because standard-defined exhaustive search over predefined antenna …
Deep learning on multimodal sensor data at the wireless edge for vehicular network
Beam selection for millimeter-wave links in a vehicular scenario is a challenging problem, as
an exhaustive search among all candidate beam pairs cannot be assuredly completed …
an exhaustive search among all candidate beam pairs cannot be assuredly completed …
MmWave vehicular beam selection with situational awareness using machine learning
Establishing and tracking beams in millimeter-wave (mmWave) vehicular communication is
a challenging task. Large antenna arrays and narrow beams introduce significant system …
a challenging task. Large antenna arrays and narrow beams introduce significant system …
Deep learning-based beam tracking for millimeter-wave communications under mobility
In this paper, we propose a deep learning-based beam tracking method for millimeter-wave
(mmWave) communications. Beam tracking is employed for transmitting the known symbols …
(mmWave) communications. Beam tracking is employed for transmitting the known symbols …
Meta-learning for beam prediction in a dual-band communication system
Large antenna arrays and beamforming are necessary for the mmWave communication
system, resulting in heavy time and energy consumption in the beam training stage …
system, resulting in heavy time and energy consumption in the beam training stage …
Position-aided beam prediction in the real world: How useful GPS locations actually are?
J Morais, A Bchboodi, H Pezeshki… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication systems rely on narrow beams to achieve
sufficient receive signal power. Adjusting these beams is typically associated with large …
sufficient receive signal power. Adjusting these beams is typically associated with large …