Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …
intelligence tool is widely researched to intelligentize communication and networking …
A literature survey on AI-aided beamforming and beam management for 5G and 6G systems
DS Brilhante, JC Manjarres, R Moreira… - Sensors, 2023 - mdpi.com
Modern wireless communication systems rely heavily on multiple antennas and their
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …
A survey of machine learning applications to handover management in 5G and beyond
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …
networks that need to be properly managed since it poses multiple threats to quality-of …
Machine learning for millimeter wave and terahertz beam management: A survey and open challenges
Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
Towards real-world 6G drone communication: Position and camera aided beam prediction
Millimeter-wave (mmWave) and terahertz (THz) communication systems typically deploy
large antenna arrays to guarantee sufficient receive signal power. The beam training …
large antenna arrays to guarantee sufficient receive signal power. The beam training …
Deep active learning approach to adaptive beamforming for mmWave initial alignment
This paper proposes a deep learning approach to the adaptive and sequential beamforming
design problem for the initial access phase in a mmWave environment with a single-path …
design problem for the initial access phase in a mmWave environment with a single-path …
Deep reinforcement learning based joint beam allocation and relay selection in mmWave vehicular networks
Millimeter-wave (mmWave) can provide abundant spectrum resource in vehicular
communication networks. Nevertheless, due to the high path-loss and blocking effects in …
communication networks. Nevertheless, due to the high path-loss and blocking effects in …
Position-aided beam prediction in the real world: How useful GPS locations actually are?
J Morais, A Bchboodi, H Pezeshki… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication systems rely on narrow beams to achieve
sufficient receive signal power. Adjusting these beams is typically associated with large …
sufficient receive signal power. Adjusting these beams is typically associated with large …
Generative-adversarial-network enabled signal detection for communication systems with unknown channel models
L Sun, Y Wang, AL Swindlehurst… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
The Viterbi algorithm is widely adopted in digital communication systems because of its
capability of realizing maximum-likelihood signal sequence detection. However …
capability of realizing maximum-likelihood signal sequence detection. However …
Acquisition of channel state information for mmWave massive MIMO: Traditional and machine learning-based approaches
The accuracy of channel state information (CSI) acquisition directly affects the performance
of millimeter wave (mmWave) communications. In this article, we provide an overview on …
of millimeter wave (mmWave) communications. In this article, we provide an overview on …