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 …

[HTML][HTML] Cognitive radio and machine learning modalities for enhancing the smart transportation system: A systematic literature review

MYI Idris, I Ahmedy, TK Soon, M Yahuza, AB Tambuwal… - ICT Express, 2024 - Elsevier
Smart transportation systems implemented through vehicular ad hoc networks (VANET) offer
significant potential to improve safety. However, the network faces critical challenges related …

Expansion of cluster head stability using fuzzy in cognitive radio CR-VANET

MA Saleem, S Zhou, A Sharif, T Saba, MA Zia… - IEEE …, 2019 - ieeexplore.ieee.org
The Vehicular Ad Hoc Network (VANET) plays a vital role in the development of smart cities,
especially in ensuring vehicles' safety on roads. However, VANET wireless-based networks …

Intelligent dynamic spectrum access using deep reinforcement learning for VANETs

Y Wang, X Li, P Wan, R Shao - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
In vehicular ad hoc networks (VANETs), vehicles can communicate with other vehicles or
devices through vehicle-to-X communication. However, with the rise of the Internet of Things …

Accurate cluster head selection technique for software defined network in 5G VANET

U Maan, Y Chaba - Wireless personal communications, 2021 - Springer
Abstract The vehicular Ad Hoc Network is a very dynamic network with uncertain presence
of vehicles on the road and data transmission between vehicles and road-side units …

Artificial neural network design for improved spectrum sensing in cognitive radio

DK Patel, M Lopez-Benitez, B Soni… - Wireless …, 2020 - Springer
Abstract Dynamic Spectrum Access/Cognitive Radio systems access the channel in an
opportunistic, non-interfering manner with the primary network. These systems utilize …

A multi-channel and multi-user dynamic spectrum access algorithm based on deep reinforcement learning in Cognitive Vehicular Networks with sensing error

L Chen, K Fu, Q Zhao, X Zhao - Physical Communication, 2022 - Elsevier
In this paper, a spectrum access problem is proposed to improve the spectrum access rates
of secondary vehicles in Cognitive Vehicular Networks, where the channel capacity …

Radar sensing-throughput tradeoff for radar assisted cognitive radio enabled vehicular ad-hoc networks

S Huang, N Jiang, Y Gao, W Xu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
In cognitive radio enabled vehicular ad-hoc networks (CR-VANETs), the secondary users,
ie, the secondary intelligent vehicles have the ability to perceive the driving environment and …

Cognitive radio networks: a comprehensive review

N Gupta, SK Dhurandher, B Kumar - … of research on the IoT, cloud …, 2019 - igi-global.com
The radio spectrum is witnessing a major paradigm shift from fixed spectrum assignment
policy to the dynamic spectrum access, which will completely change the way radio …

[PDF][PDF] V2X 通信研究概述.

方箭, 冯大权, 段海军, 郑灿健… - Telecommunications …, 2019 - infocomm-journal.com
车联网以信息通信技术为出发点, 集成了车辆, 路边基础设施, 通信, 定位等多项前沿技术和设备,
能有效提高行车安全, 提升交通效率, 还能为车辆用户全方面提供各类信息服务 …