An online context-aware machine learning algorithm for 5G mmWave vehicular communications
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 …
everything (V2X) since future vehicular systems demand Gbps links to acquire the …
FML: Fast machine learning for 5G mmWave vehicular communications
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 …
everything (V2X) since future vehicular systems demand Gbps links to acquire the …
Flash: Federated learning for automated selection of high-band mmwave sectors
Fast sector-steering in the mmWave band for vehicular mobility scenarios remains an open
challenge. This is because standard-defined exhaustive search over predefined antenna …
challenge. This is because standard-defined exhaustive search over predefined antenna …
Efficient beam alignment in millimeter wave systems using contextual bandits
In this paper, we investigate the problem of beam alignment in millimeter wave (mmWave)
systems, and design an optimal algorithm to reduce the overhead. Specifically, due to …
systems, and design an optimal algorithm to reduce the overhead. Specifically, due to …
Beam alignment and tracking for millimeter wave communications via bandit learning
Millimeter wave (mmwave) communications have attracted increasing attention thanks to the
abundant spectrum resource. The short wave-length of mmwave signals facilitates exploiting …
abundant spectrum resource. The short wave-length of mmwave signals facilitates exploiting …
Deep learning-based channel estimation and tracking for millimeter-wave vehicular communications
S Moon, H Kim, I Hwang - Journal of Communications and …, 2020 - ieeexplore.ieee.org
The application of millimeter-wave (mmWave) frequencies is a potential technology for
satisfying the continuously increasing need for handling data traffic in highly advanced …
satisfying the continuously increasing need for handling data traffic in highly advanced …
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 …
Transfer reinforcement learning for 5G new radio mmWave networks
M Elsayed, M Erol-Kantarci… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we aim at interference mitigation in 5G millimeter-Wave (mm-Wave)
communications by employing beamforming and Non-Orthogonal Multiple Access (NOMA) …
communications by employing beamforming and Non-Orthogonal Multiple Access (NOMA) …
MAMBA: A multi-armed bandit framework for beam tracking in millimeter-wave systems
Millimeter-wave (mmW) spectrum is a major candidate to support the high data rates of 5G
systems. However, due to directionality of mmW communication systems, misalignments …
systems. However, due to directionality of mmW communication systems, misalignments …
Machine learning enabling analog beam selection for concurrent transmissions in millimeter-wave V2V communications
With the development of millimeter-wave (mmWave) technology and vehicle-to-vehicle
(V2V) communications, the mmWave vehicular ad hoc networks (VANETs) is envisioned to …
(V2V) communications, the mmWave vehicular ad hoc networks (VANETs) is envisioned to …
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