Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey

NA Khalek, DH Tashman… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The next frontier in wireless connectivity lies at the intersection of cognitive radio (CR)
technology and machine learning (ML), where intelligent networks can provide pervasive …

Reinforcement-learning-based dynamic spectrum access for software-defined cognitive industrial internet of things

X Liu, C Sun, W Yu, M Zhou - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
The cognitive industrial Internet of Things (CIIoT) can improve transmission performance by
utilizing the spectrum licensed to a primary user (PU), providing that the normal …

Communication resources management based on spectrum sensing for vehicle platooning

W Gao, C Wu, L Zhong, KLA Yau - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicle platoon is a group of vehicles moving in the same direction at a certain speed while
maintaining a stable inter-vehicle distance, and so the vehicles are closely connected with …

Dynamic multiple access based on deep reinforcement learning for Internet of Things

X Liu, Z Li - Computer Communications, 2023 - Elsevier
With the development of wireless communication technology, the rational use of spectrum
resources utilizing efficient multiple access technology has become a research hotspot. The …

DQL-based intelligent scheduling algorithm for automatic driving in massive MIMO V2I scenarios

Y Liao, Z Yin, Z Yang, X Shen - China Communications, 2023 - ieeexplore.ieee.org
Connected and autonomous vehicle (CAV) vehicle to infrastructure (V2I) scenarios have
more stringent requirements on the communication rate, delay, and reliability of the Internet …

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 …

Deep Reinforcement Learning Heterogeneous Channels for Poisson Multiple Access

X Zhang, P Chen, G Yu, S Wang - Mathematics, 2023 - mdpi.com
This paper proposes a medium access control (MAC) protocol based on deep reinforcement
learning (DRL), ie, multi-channel transmit deep-reinforcement learning multi-channel access …

A Comprehensive Survey on Spectrum Sensing Techniques for the Implementation of Cognitive Vehicular Networks

K Jyostna, N Satwik, SS Anvesh… - … on Recent Trends in …, 2022 - ieeexplore.ieee.org
Vehicular Ad Hoc network-VANET plays a crucial role in daily vehicular users and ensures
safety for drivers and passengers. But there are some issues before VANET can be utilized …

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 …

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 …