Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges

F Tang, B Mao, N Kato, G Gui - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …

Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning

S Szott, K Kosek-Szott, P Gawłowicz… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …

Artificial Intelligence and Machine Learning as key enablers for V2X communications: A comprehensive survey

M Christopoulou, S Barmpounakis, H Koumaras… - Vehicular …, 2023 - Elsevier
The automotive industry is undergoing a profound digital transformation to create
autonomous vehicles. Vehicle-to-Everything (V2X) communications enable the provisioning …

Next-generation wireless solutions for the smart factory, smart vehicles, the smart grid and smart cities

TM Ho, TD Tran, TT Nguyen, SM Kazmi, LB Le… - arXiv preprint arXiv …, 2019 - arxiv.org
5G wireless systems will extend mobile communication services beyond mobile telephony,
mobile broadband, and massive machine-type communication into new application …

Challenges and opportunities for multimedia transmission in vehicular ad hoc networks: A comprehensive review

M Okpok, B Kihei - Electronics, 2023 - mdpi.com
This review paper delves into the challenges and opportunities associated with multimedia
transmission in vehicular ad hoc networks (VANETs), with a particular focus on audio-visual …

Online learning for joint beam tracking and pattern optimization in massive MIMO systems

J Jeong, SH Lim, Y Song… - IEEE INFOCOM 2020-IEEE …, 2020 - ieeexplore.ieee.org
In this paper, we consider a joint beam tracking and pattern optimization problem for
massive multiple input multiple output (MIMO) systems in which the base station (BS) selects …

Sensing aided reconfigurable intelligent surfaces for 3gpp 5g transparent operation

S Jiang, A Hindy, A Alkhateeb - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Can reconfigurable intelligent surfaces (RISs) operate in a standalone mode that is
completely transparent to the 3GPP 5G initial access process? Realizing that may greatly …

Learning-based blockage prediction for robust links in dynamic millimeter wave networks

M Zarifneshat, L Xiao, J Tang, X Zhang - Wireless Networks, 2021 - Springer
To employ millimeter wave technology in 5G networks, two inherent challenges need to be
addressed in dynamic outdoor environments. Firstly, different types of obstacles can easily …

User identification: A key enabler for multi-user vision-aided communications

G Charan, A Alkhateeb - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
Vision-aided wireless communication is attracting increasing interest and finding new use
cases in various wireless communication applications. These vision-aided communication …

Reinforcement learning for accident risk-adaptive V2X networking

S Kim, BJ Kim - 2020 IEEE 92nd Vehicular Technology …, 2020 - ieeexplore.ieee.org
The significance of vehicle-to-everything (V2X) communications has been ever increased as
connected and autonomous vehicles (CAVs) get more emergent in practice. The key …