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 …
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 …
Vision-position multi-modal beam prediction using real millimeter wave datasets
Enabling highly-mobile millimeter wave (mmWave) and terahertz (THz) wireless
communication applications requires overcoming the critical challenges associated with the …
communication applications requires overcoming the critical challenges associated with the …
Deep learning assisted calibrated beam training for millimeter-wave communication systems
Huge overhead of beam training imposes a significant challenge in millimeter-wave
(mmWave) wireless communications. To address this issue, in this paper, we propose a …
(mmWave) wireless communications. To address this issue, in this paper, we propose a …
Deep regularized waveform learning for beam prediction with limited samples in non-cooperative mmWave systems
Millimeter wave (mmWave) systems need beam management to establish and maintain
reliable links. This complex and time-consuming process seriously affects communication …
reliable links. This complex and time-consuming process seriously affects communication …
LiDAR aided future beam prediction in real-world millimeter wave V2I communications
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 …
the mmWave beam prediction task. A machine learning (ML) model that leverages LiDAR …
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 …
Generative adversarial estimation of channel covariance in vehicular millimeter wave systems
X Li, A Alkhateeb… - 2018 52nd Asilomar …, 2018 - ieeexplore.ieee.org
Enabling highly-mobile millimeter wave (mmWave) systems is challenging because of the
huge training overhead associated with acquiring the channel knowledge or designing the …
huge training overhead associated with acquiring the channel knowledge or designing the …
Machine learning based mmWave channel tracking in vehicular scenario
Millimeter wave (mmWave) communication has become a key enabling technology for 5G
and beyond networks because of its large bandwidth and high transmission rate. In a …
and beyond networks because of its large bandwidth and high transmission rate. In a …
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