Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges

F Tang, B Mao, N Kato, G Gui - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …

Recent advances in mmWave-radar-based sensing, its applications, and machine learning techniques: A review

A Soumya, C Krishna Mohan, LR Cenkeramaddi - Sensors, 2023 - mdpi.com
Human gesture detection, obstacle detection, collision avoidance, parking aids, automotive
driving, medical, meteorological, industrial, agriculture, defense, space, and other relevant …

From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey

MN Mahdi, AR Ahmad, QS Qassim, H Natiq… - Applied Sciences, 2021 - mdpi.com
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …

Beam management in millimeter-wave communications for 5G and beyond

YNR Li, B Gao, X Zhang, K Huang - IEEE Access, 2020 - ieeexplore.ieee.org
Massive MIMO is one of the promising techniques to improve spectral efficiency and network
performance for reaching its targeted multi-gigabit throughput in 5G systems. For 5G New …

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 …

A deep learning-based low overhead beam selection in mmWave communications

H Echigo, Y Cao, M Bouazizi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Due to large amounts of available spectrum at high frequencies, millimeter-wave (mmWave)
technology has gained extensive research attention in 5G communications, whereas …

Deep learning-based channel estimation and tracking for millimeter-wave vehicular communications

S Moon, H Kim, I Hwang - Journal of Communications and …, 2020 - ieeexplore.ieee.org
The application of millimeter-wave (mmWave) frequencies is a potential technology for
satisfying the continuously increasing need for handling data traffic in highly advanced …

Deep learning-based beam tracking for millimeter-wave communications under mobility

SH Lim, S Kim, B Shim, JW Choi - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

[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 …

Fast MIMO beamforming via deep reinforcement learning for high mobility mmWave connectivity

M Fozi, AR Sharafat, M Bennis - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
Future 5G/6G wireless networks will be increasingly using millimeter waves (mmWaves),
where fast and efficient beamforming is vital for providing continuous service to highly …