Position and LIDAR-aided mmWave beam selection using deep learning

M Dias, A Klautau, N González-Prelcic… - 2019 IEEE 20th …, 2019 - ieeexplore.ieee.org
Modern communication systems may benefit from the availability of sensor data leveraged
by sophisticated machine learning algorithms. We recently described how LIDAR (light …

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 …

Federated mmWave beam selection utilizing LIDAR data

MB Mashhadi, M Jankowski, TY Tung… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Efficient link configuration in millimeter wave (mmWave) communication systems is a crucial
yet challenging task due to the overhead imposed by beam selection. For vehicle-to …

LiDAR aided future beam prediction in real-world millimeter wave V2I communications

S Jiang, G Charan, A Alkhateeb - IEEE Wireless …, 2022 - ieeexplore.ieee.org
This letter presents the first large-scale real-world evaluation for using LiDAR data to guide
the mmWave beam prediction task. A machine learning (ML) model that leverages LiDAR …

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 …

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 …

Mmwave vehicular beam training with situational awareness by machine learning

Y Wang, A Klautau, M Ribero… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
Configuring beams in millimeter-wave (mmWave) vehicular communication is a challenging
task. Large antenna arrays and narrow beams are deployed at transceivers to exploit …

Millimeter wave base stations with cameras: Vision-aided beam and blockage prediction

M Alrabeiah, A Hredzak… - 2020 IEEE 91st vehicular …, 2020 - ieeexplore.ieee.org
This paper investigates a novel research direction that leverages vision to help overcome
the critical wireless communication challenges. In particular, this paper considers millimeter …

MmWave vehicular beam selection with situational awareness using machine learning

Y Wang, A Klautau, M Ribero, ACK Soong… - IEEE …, 2019 - ieeexplore.ieee.org
Establishing and tracking beams in millimeter-wave (mmWave) vehicular communication is
a challenging task. Large antenna arrays and narrow beams introduce significant system …

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 …