Learning-based beamforming for multi-user vehicular communications: a combinatorial multi-armed bandit approach

I Nasim, AS Ibrahim, S Kim - IEEE Access, 2020 - ieeexplore.ieee.org
There is an urgent need to support high data rate among connected vehicles for both safety
and infotainment purposes. However, high rate for vehicular communications is impacted by …

Context-and-social-aware online beam selection for mmwave vehicular communications

D Li, S Wang, H Zhao, X Wang - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Millimeter-wave (mmWave) bands are expected to be an important choice for future
vehicular communication to support Gbps links for reliable data transfer in high-rate …

Beamforming for maximal coverage in mmWave drones: A reinforcement learning approach

H Vaezy, MSH Abad, O Ercetin… - IEEE …, 2020 - ieeexplore.ieee.org
Drone as a base station can provide wireless services in a variety of situations. In this letter,
we employ a uniform linear array (ULA) to produce a directional beam to increase the quality …

Smart vehicular communication via 5G mmWaves

X Li, R Zhou, YJA Zhang, L Jiao, Z Li - Computer Networks, 2020 - Elsevier
Millimeter-Wave (mmWave) communication is conceived as a viable approach for 5G
vehicular communication systems, where vehicles are equipped with more sensors that …

Profiling vehicles for improved small cell beam-vehicle pairing using multi-armed bandit

A Kose, CH Foh, H Lee… - … Conference on Information …, 2021 - ieeexplore.ieee.org
The 5G technology has tapped into millimeter wave (mmWave) spectrum to create additional
bandwidth for improved network capacity. The use of mmWave for specific applications …

mmWave Beam Steering with Hierarchical Optimal Sampling for Unimodal Bandits

N Blinn, J Boerger, M Bloch - ICC 2021-IEEE International …, 2021 - ieeexplore.ieee.org
We propose a Multi-Armed Bandit algorithm for mmWave beam steering that approaches the
performance of state-of-the-art Bayesian algorithms at a fraction of the complexity and …

Beam Alignment in Multipath Environments for Integrated Sensing and Communication Using Bandit Learning

A Sneh, SS Ram, SJ Darak… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Prior works have explored multi-armed bandit (MAB) algorithms for the selection of optimal
beams for millimeter-wave (mmW) communications between base station and mobile users …

Fast beam alignment via pure exploration in multi-armed bandits

Y Wei, Z Zhong, VYF Tan - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
The beam alignment (BA) problem consists in accurately aligning the transmitter and
receiver beams to establish a reliable communication link in wireless communication …

SVM‐based online learning for interference‐aware multi‐cell mmWave vehicular communications

D Li, J Zhu, H Zhao, X Wang, R Jiang - IET Communications, 2021 - Wiley Online Library
This paper proposes a data‐driven method of mmWave beam selection in multi‐cell systems
to achieve a near‐optimal fast beam allocation with low complexity. In particular, an online …

Network Capacity Optimization for Cellular‐Assisted Vehicular Systems by Online Learning‐Based mmWave Beam Selection

J Gui, Y Liu, X Deng, B Liu - Wireless Communications and …, 2021 - Wiley Online Library
Directional communication is helpful to improve the performance of millimeter Wave
(mmWave) links. However, the dynamic nature of vehicular scenarios raises the complexity …