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 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 …
Towards robustness: Machine learning for mmWave V2X with situational awareness
Y Wang, M Narasimha… - 2018 52nd Asilomar …, 2018 - ieeexplore.ieee.org
High mobility poses challenges to millimeter wave (mmWave) vehicular beam tracking. In
this paper, we propose to recommend a set of candidate beam pairs using machine learning …
this paper, we propose to recommend a set of candidate beam pairs using machine learning …
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 …
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 …
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 …
Position-aided millimeter wave V2I beam alignment: A learning-to-rank approach
Millimeter wave (mmWave) could be a key technology to support high data rate demands for
automated vehicles. MmWave needs array gain for the best performance, but this requires …
automated vehicles. MmWave needs array gain for the best performance, but this requires …
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 visual and location data for V2I mmWave beamforming
Accurate beam alignment in the millimeter-wave (mmWave) band introduces considerable
overheads involving brute-force exploration of multiple beam-pair combinations and beam …
overheads involving brute-force exploration of multiple beam-pair combinations and beam …
Measuring radar and communication congruence at millimeter wave frequencies
Millimeter wave (mmWave) communication enables high-rate vehicle-to-infrastructure (V2I)
communications by using larger bandwidths, but configuring mmWave links requires …
communications by using larger bandwidths, but configuring mmWave links requires …