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 of the state of the art and future challenges of deep learning-based beamforming
H Al Kassir, ZD Zaharis, PI Lazaridis… - IEEE …, 2022 - ieeexplore.ieee.org
The key objective of this paper is to explore the recent state-of-the-art artificial intelligence
(AI) applications on the broad field of beamforming. Hence, a multitude of AI-oriented …
(AI) applications on the broad field of beamforming. Hence, a multitude of AI-oriented …
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 …
Computer vision-aided reconfigurable intelligent surface-based beam tracking: Prototyping and experimental results
In this paper, we propose a novel computer vision-based approach to aid reconfigurable
intelligent surface (RIS) for dynamic beam tracking and implement the corresponding …
intelligent surface (RIS) for dynamic beam tracking and implement the corresponding …
A literature survey on AI-aided beamforming and beam management for 5G and 6G systems
DS Brilhante, JC Manjarres, R Moreira… - Sensors, 2023 - mdpi.com
Modern wireless communication systems rely heavily on multiple antennas and their
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …
Multimodality in mmWave MIMO beam selection using deep learning: Datasets and challenges
The increasing availability of multimodal data holds many promises for developments in
millimeter-wave (mmWave) multiple-antenna systems by harnessing the potential for …
millimeter-wave (mmWave) multiple-antenna systems by harnessing the potential for …
Hydra-RAN perceptual networks architecture: Dual-functional communications and sensing networks for 6G and beyond
RI Abd, DJ Findley, KS Kim - IEEE Access, 2023 - ieeexplore.ieee.org
After researchers devoted considerable efforts to developing 5G standards, their passion
began to focus on establishing the basics for the standardization of 6G and beyond. The …
began to focus on establishing the basics for the standardization of 6G and beyond. The …
Multiverse at the edge: interacting real world and digital twins for wireless beamforming
Creating a digital world that closely mimics the real world with its many complex interactions
and outcomes is possible today through advanced emulation software and ubiquitous …
and outcomes is possible today through advanced emulation software and ubiquitous …
Harnessing Multimodal Sensing for Multi-user Beamforming in mmWave Systems
Sensor-aided beamforming reduces the overheads associated with beam training in
millimeter-wave (mmWave) multi-input-multi-output (MIMO) communication systems. Most …
millimeter-wave (mmWave) multi-input-multi-output (MIMO) communication systems. Most …