MmWave beam prediction with situational awareness: A machine learning approach

Y Wang, M Narasimha… - 2018 IEEE 19th …, 2018 - ieeexplore.ieee.org
Millimeter-wave communication is a challenge in the highly mobile vehicular context.
Traditional beam training is inadequate in satisfying low overheads and latency. In this …

Deep learning on multimodal sensor data at the wireless edge for vehicular network

B Salehi, G Reus-Muns, D Roy, Z Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
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 …

Reinforcement learning-based vehicle-cell association algorithm for highly mobile millimeter wave communication

H Khan, A Elgabli, S Samarakoon… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) communication is a growing area of communication with a
variety of use cases. This paper investigates the problem of vehicle-cell association in …

LIDAR and position-aided mmWave beam selection with non-local CNNs and curriculum training

M Zecchin, MB Mashhadi, M Jankowski… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Efficient millimeter wave (mmWave) beam selection in vehicle-to-infrastructure (V2I)
communication is a crucial yet challenging task due to the narrow mmWave beamwidth and …

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 …

Fast channel estimation and beam tracking for millimeter wave vehicular communications

S Shaham, M Ding, M Kokshoorn, Z Lin, S Dang… - IEEE …, 2019 - ieeexplore.ieee.org
Millimeter wave (mmWave) has been claimed to be the only viable solution for high-
bandwidth vehicular communications. However, frequent channel estimation and …

Leveraging machine learning for millimeter wave beamforming in beyond 5G networks

BM ElHalawany, S Hashima, K Hatano… - IEEE Systems …, 2021 - ieeexplore.ieee.org
Millimeter wave (mmWave) communication has attracted considerable attention as a key
technology for the next-generation wireless communications thanks to its exceptional …

Leveraging sensing at the infrastructure for mmWave communication

A Ali, N Gonzalez-Prelcic, RW Heath… - IEEE Communications …, 2020 - ieeexplore.ieee.org
V2X communication in the mmWave band is one way to achieve high data rates for
applications like infotainment, cooperative perception, augmented reality assisted driving …

Fast cell discovery in mm-wave 5G networks with context information

I Filippini, V Sciancalepore, F Devoti… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The exploitation of mm-wave bands is one of the key-enabler for 5G mobile radio networks.
However, the introduction of mm-wave technologies in cellular networks is not …

Vision-position multi-modal beam prediction using real millimeter wave datasets

G Charan, T Osman, A Hredzak… - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
Enabling highly-mobile millimeter wave (mmWave) and terahertz (THz) wireless
communication applications requires overcoming the critical challenges associated with the …