MmWave vehicular beam selection with situational awareness using machine learning
Establishing and tracking beams in millimeter-wave (mmWave) vehicular communication is
a challenging task. Large antenna arrays and narrow beams introduce significant system …
a challenging task. Large antenna arrays and narrow beams introduce significant system …
Mmwave vehicular beam training with situational awareness by machine learning
Configuring beams in millimeter-wave (mmWave) vehicular communication is a challenging
task. Large antenna arrays and narrow beams are deployed at transceivers to exploit …
task. Large antenna arrays and narrow beams are deployed at transceivers to exploit …
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 …
Traditional beam training is inadequate in satisfying low overheads and latency. In this …
Location-and orientation-aided millimeter wave beam selection using deep learning
S Rezaie, CN Manchón… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Location-aided beam alignment methods exploit the user location and prior knowledge of
the propagation environment to identify the beam directions that are more likely to maximize …
the propagation environment to identify the beam directions that are more likely to maximize …
Deep learning aided fingerprint-based beam alignment for mmWave vehicular communication
K Satyanarayana, M El-Hajjar… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Harnessing the substantial bandwidth available at millimeter wave (mmWave) carrier
frequencies has proved to be beneficial to accommodate a large number of users with …
frequencies has proved to be beneficial to accommodate a large number of users with …
BsNet: A deep learning-based beam selection method for mmWave communications
CH Lin, WC Kao, SQ Zhan… - 2019 IEEE 90th Vehicular …, 2019 - ieeexplore.ieee.org
Millimeter wave (mmWave) techniques have attracted much attention in recent years owing
to features such as substantial bandwidth for communication, and it has applications in radar …
to features such as substantial bandwidth for communication, and it has applications in radar …
LIDAR and position-aided mmWave beam selection with non-local CNNs and curriculum training
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 …
communication is a crucial yet challenging task due to the narrow mmWave beamwidth and …
Deep learning-based beam alignment in mmwave vehicular networks
Millimeter wave channels exhibit structure that allows beam alignment with fewer channel
measurements than exhaustive beam search. From a compressed sensing (CS) …
measurements than exhaustive beam search. From a compressed sensing (CS) …
Deep learning on multimodal sensor data at the wireless edge for vehicular network
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 …
an exhaustive search among all candidate beam pairs cannot be assuredly completed …
MmWave beam management in urban vehicular networks
Millimeter-wave (mmWave) communication represents a potential solution to capacity
shortage in vehicular networks. However, effective beam alignment between senders and …
shortage in vehicular networks. However, effective beam alignment between senders and …
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