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 …

Multi-user reinforcement learning based multi-reward for spectrum access in cognitive vehicular networks

L Chen, Q Zhao, K Fu, X Zhao, H Sun - Telecommunication Systems, 2023 - Springer
Abstract Cognitive Vehicular Networks (CVNs) can improve spectrum utilization by
intelligently using idle spectrum, so as to fulfill the needs of communication. The previous …

Joint collaborative big spectrum data sensing and reinforcement learning based dynamic spectrum access for cognitive internet of vehicles

X Liu, C Sun, KLA Yau, C Wu - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Cognitive Internet of Vehicles (CIoV) is an intelligent vehicle network envisioned to
opportunistically access spectrum licensed to primary users (PUs) on the premise of not …

Reinforcement learning based dynamic spectrum access in cognitive internet of vehicles

X Liu, C Sun, M Zhou, B Lin, Y Lim - China Communications, 2021 - ieeexplore.ieee.org
Cognitive Internet of Vehicles (CIoV) can improve spectrum utilization by accessing the
spectrum licensed to primary user (PU) under the premise of not disturbing the PU's …

Federated Deep Reinforcement Learning-Based Spectrum Access Algorithm With Warranty Contract in Intelligent Transportation Systems

R Zhu, M Li, H Liu, L Liu, M Ma - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cognitive radio (CR) provides an effective solution to meet the huge bandwidth
requirements in intelligent transportation systems (ITS), which enables secondary users …

Spectrum access allocation in vehicular networks with intermittently interrupted channels

TD Le, G Kaddoum - IEEE Wireless Communications Letters, 2022 - ieeexplore.ieee.org
In this letter, we study the spectrum access problem in vehicular networks, where a base
station (BS) assigns its spectrum to vehicles to fulfill data demands of these vehicles. In our …

[HTML][HTML] Deep reinforcement learning-based spectrum allocation algorithm in Internet of vehicles discriminating services

Z Guan, Y Wang, M He - Applied Sciences, 2022 - mdpi.com
With the rapid development of global automotive industry intelligence and networking, the
Internet of Vehicles (IoV) service, as a key communication technology, has been faced with …

Deep learning-based selective spectrum sensing and allocation in cognitive vehicular radio networks

A Paul, K Choi - Vehicular Communications, 2023 - Elsevier
The main challenge with Vehicular Ad-Hoc Networks (VANETs) for assisting Intelligent
Transportation Services (ITSs) is ensuring effective data delivery under various network …

A Novel Joint Spectrum Sensing and Resource Allocation Scheme in Cognitive Internet of Vehicles Networks

G Chen, H Zhu, Y Xu, T Song… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the rapid development of the Internet of Vehicles (IoV), the cognitive radio-based IoV
(CIoV) network is widely used to overcome the lack of spectrum resources. In this paper, a …

Intelligent spectrum sensing algorithm for cognitive internet of vehicles based on KPCA and improved CNN

Y Duan, F Huang, L Xu, TA Gulliver - Peer-to-Peer Networking and …, 2023 - Springer
With the acceleration of economic globalization and integration, the global trade is
becoming more frequent, which promotes the vigorous development of transportation …