Towards mmWave V2X in 5G and beyond to support automated driving

K Sakaguchi, R Fukatsu, T Yu, E Fukuda… - IEICE Transactions …, 2021 - search.ieice.org
Millimeter wave provides high data rates for Vehicle-to-Everything (V2X) communications.
This paper motivates millimeter wave to support automated driving and begins by explaining …

Millimeter wave V2X communications: Use cases and design considerations of beam management

T Shimizu, V Va, G Bansal… - 2018 Asia-Pacific …, 2018 - ieeexplore.ieee.org
Sharing perception sensor information (eg, camera, radar, and LIDAR) among vehicles in
proximity using vehicle-to-everything (V2X) communications provides non-line-of-sight …

Environment semantics aided wireless communications: A case study of mmWave beam prediction and blockage prediction

Y Yang, F Gao, X Tao, G Liu… - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
In this paper, we propose an environment semantics aided wireless communication
framework to reduce the transmission latency and improve the transmission reliability, where …

Towards scalable and ubiquitous millimeter-wave wireless networks

S Sur, I Pefkianakis, X Zhang, KH Kim - Proceedings of the 24th Annual …, 2018 - dl.acm.org
Millimeter-wave (mmWave) technology is emerging as the most promising solution to meet
the multi-fold demand increase for mobile data. Very short wavelength, high directionality …

Dealing with limited backhaul capacity in millimeter-wave systems: A deep reinforcement learning approach

M Feng, S Mao - IEEE Communications Magazine, 2019 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication is a key technology of fifth generation wireless
systems to achieve the expected 1000x data rate. With large bandwidth at the mmWave …

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 …

Mobility support for millimeter wave communications: Opportunities and challenges

J Li, Y Niu, H Wu, B Ai, S Chen, Z Feng… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication technology offers a potential and promising
solution to support 5G and B5G wireless networks in dynamic scenarios and applications …

6G white paper on machine learning in wireless communication networks

S Ali, W Saad, N Rajatheva, K Chang… - arXiv preprint arXiv …, 2020 - arxiv.org
The focus of this white paper is on machine learning (ML) in wireless communications. 6G
wireless communication networks will be the backbone of the digital transformation of …

User association for millimeter-wave networks: A machine learning approach

R Liu, M Lee, G Yu, GY Li - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication has been regarded as one of the most promising
means to improve the cellular system capacity in the fifth-generation (5G) era. Compared …

End-to-end simulation of 5G mmWave networks

M Mezzavilla, M Zhang, M Polese… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Due to its potential for multi-gigabit and low latency wireless links, millimeter wave
(mmWave) technology is expected to play a central role in 5th generation (5G) cellular …