Millimeter-wave communication for internet of vehicles: status, challenges, and perspectives

KZ Ghafoor, L Kong, S Zeadally… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The Internet of Vehicles has attracted a lot of attention in the automotive industry and
academia recently. We are witnessing rapid advances in vehicular technologies that …

Machine-learning-enabled cooperative perception for connected autonomous vehicles: Challenges and opportunities

Q Yang, S Fu, H Wang, H Fang - IEEE Network, 2021 - ieeexplore.ieee.org
Connected and autonomous vehicles is a disruptive technology that has the potential to
transform the current transportation system by reducing traffic accidents and enhancing …

Cooperative vehicular networking: A survey

E Ahmed, H Gharavi - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
With the remarkable progress of cooperative communication technology in recent years, its
transformation to vehicular networking is gaining momentum. Such a transformation has …

Vehicular communications: A physical layer perspective

L Liang, H Peng, GY Li, X Shen - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Vehicular communications have attracted more and more attention recently from both
industry and academia due to their strong potential to enhance road safety, improve traffic …

Inverse multipath fingerprinting for millimeter wave V2I beam alignment

V Va, J Choi, T Shimizu, G Bansal… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Efficient beam alignment is a crucial component in millimeter wave systems with analog
beamforming, especially in fast-changing vehicular settings. This paper proposes to use the …

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 …

Millimeter-wave V2V communications: Distributed association and beam alignment

C Perfecto, J Del Ser, M Bennis - IEEE Journal on Selected …, 2017 - ieeexplore.ieee.org
Recently, millimeter-wave (mmWave) bands have been postulated as a means to
accommodate the foreseen extreme bandwidth demands in vehicular communications …

An online context-aware machine learning algorithm for 5G mmWave vehicular communications

GH Sim, S Klos, A Asadi, A Klein… - IEEE/ACM Transactions …, 2018 - ieeexplore.ieee.org
Millimeter-Wave (mmWave) bands have become the de-facto candidate for 5G vehicle-to-
everything (V2X) since future vehicular systems demand Gbps links to acquire the …

Flash: Federated learning for automated selection of high-band mmwave sectors

B Salehi, J Gu, D Roy… - IEEE INFOCOM 2022 …, 2022 - ieeexplore.ieee.org
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 …

Online learning for position-aided millimeter wave beam training

V Va, T Shimizu, G Bansal, RW Heath - IEEE Access, 2019 - ieeexplore.ieee.org
Accurate beam alignment is essential for the beam-based millimeter wave communications.
The conventional beam sweeping solutions often have large overhead, which is …