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 …

Artificial Intelligence and Machine Learning as key enablers for V2X communications: A comprehensive survey

M Christopoulou, S Barmpounakis, H Koumaras… - Vehicular …, 2023 - Elsevier
The automotive industry is undergoing a profound digital transformation to create
autonomous vehicles. Vehicle-to-Everything (V2X) communications enable the provisioning …

Wideband beam tracking in THz massive MIMO systems

J Tan, L Dai - IEEE Journal on Selected Areas in …, 2021 - ieeexplore.ieee.org
Terahertz (THz) massive multiple-input multiple-output (MIMO) has been considered as one
of the promising technologies for future 6G wireless communications. It is essential to obtain …

A comparative measurement study of commercial 5G mmWave deployments

A Narayanan, MI Rochman, A Hassan… - … -IEEE Conference on …, 2022 - ieeexplore.ieee.org
5G-NR is beginning to be widely deployed in the mmWave frequencies in urban areas in the
US and around the world. Due to the directional nature of mmWave signal propagation …

Artificial intelligence enabled radio propagation for communications—Part I: Channel characterization and antenna-channel optimization

C Huang, R He, B Ai, AF Molisch… - … on Antennas and …, 2022 - ieeexplore.ieee.org
To provide higher data rates, as well as better coverage, cost efficiency, security,
adaptability, and scalability, the 5G and beyond 5G networks are developed with various …

Computer vision aided mmWave beam alignment in V2X communications

W Xu, F Gao, X Tao, J Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Visual information, captured for example by cameras, can effectively reflect the sizes and
locations of the environmental scattering objects, and thereby can be used to infer …

Machine learning for millimeter wave and terahertz beam management: A survey and open challenges

MQ Khan, A Gaber, P Schulz, G Fettweis - IEEE Access, 2023 - ieeexplore.ieee.org
Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …

[PDF][PDF] 太赫兹通信技术综述.

谢莎, 李浩然, 李玲香, 陈智… - Journal on …, 2020 - infocomm-journal.com
太赫兹频段(0.1~ 10 THz) 信号在空气中传播衰减大, 传输距离短, 在太赫兹通信技术得到广泛
应用之前, 这些关键问题需要攻克. 首先, 介绍了当前太赫兹信道的研究进展, 包括信道建模 …

3D scene-based beam selection for mmWave communications

W Xu, F Gao, S Jin, A Alkhateeb - IEEE Wireless …, 2020 - ieeexplore.ieee.org
In this letter, we present a novel framework of 3D scene based beam selection for mmWave
communications that relies only on the environmental data and deep learning techniques …

A deep reinforcement learning framework for spectrum management in dynamic spectrum access

H Song, L Liu, J Ashdown, Y Yi - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Dynamic spectrum access (DSA) has the great potential to alleviate spectrum shortage and
promote network capacity. However, two fundamental technical issues have to be …