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 …

An online context-aware machine learning algorithm for 5G mmWave vehicular communications

GH Sim, S Klos, A Asadi, A Klein… - IEEE/ACM Transactions …, 2018 - ieeexplore.ieee.org
Millimeter-Wave (mmWave) bands have become the de-facto candidate for 5G vehicle-to-
everything (V2X) since future vehicular systems demand Gbps links to acquire the …

FML: Fast machine learning for 5G mmWave vehicular communications

A Asadi, S Müller, GH Sim, A Klein… - IEEE INFOCOM 2018 …, 2018 - ieeexplore.ieee.org
Millimeter-Wave (mmWave) bands have become the de-facto candidate for 5G vehicle-to-
everything (V2X) since future vehicular systems demand Gbps links to acquire the …

Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications

A Kose, H Lee, CH Foh… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Millimeter wave (mmWave) has been recognized as one of key technologies for 5G and
beyond networks due to its potential to enhance channel bandwidth and network capacity …

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 …

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 …

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 …

Bandit inspired beam searching scheme for mmWave high-speed train communications

JB Wang, M Cheng, JY Wang, M Lin, Y Wu… - arXiv preprint arXiv …, 2018 - arxiv.org
High-speed trains (HSTs) are being widely deployed around the world. To meet the high-
rate data transmission requirements on HSTs, millimeter wave (mmWave) HST …

Optimal beam association for high mobility mmwave vehicular networks: Lightweight parallel reinforcement learning approach

N Van Huynh, DN Nguyen, DT Hoang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In intelligent transportation systems (ITS), vehicles are expected to feature with advanced
applications and services which demand ultra-high data rates and low-latency …