Machine-learning-based opportunistic spectrum access in cognitive radio networks

P Zhu, J Li, D Wang, X You - IEEE Wireless Communications, 2020 - ieeexplore.ieee.org
The explosive growth of wireless devices and data rate demands makes spectrum scarcity a
serious problem. A promising solution is to employ OSA, which enables SUs to seek and …

Dynamic spectrum access based on deep reinforcement learning for multiple access in cognitive radio

Z Li, X Liu, Z Ning - Physical Communication, 2022 - Elsevier
With the increasing shortage of spectrum resources, dynamic spectrum access (DSA)
technology is proposed to maximize the spectrum resources utilization. Traditional DSA …

Performance analysis of cooperative spectrum sensing in cognitive vehicular networks with dense traffic

S Zhu, C Guo, C Feng, X Liu - 2016 IEEE 83rd Vehicular …, 2016 - ieeexplore.ieee.org
Cognitive Radio (CR) is a promising technology to solve the spectrum scarcity. Spectrum
sensing becomes more challenging in Cognitive Vehicular Networks (CVNs) due to …

Data-driven optimal throughput analysis for route selection in cognitive vehicular networks

C Jiang, Y Chen, KJR Liu - IEEE Journal on Selected Areas in …, 2014 - ieeexplore.ieee.org
To meet the dramatically increasing demands for vehicular communications, cognitive
vehicular networks have been proposed to broaden the vehicular communication bandwidth …

Dynamic spectrum sharing based on federated learning and multi-agent actor-critic reinforcement learning

T Yang, W Zhang, Y Bo, J Sun… - … and Mobile Computing …, 2023 - ieeexplore.ieee.org
In order to improve spectrum efficiency in emergency communications, a dynamic spectrum
sharing (DSS) scheme based on federated learning (FL) and deep reinforcement learning …

Federated Deep Reinforcement Learning-Based Spectrum Sharing and Power Allocation for Mobile Communication System

S Liu, F Yang, C Pan, C Zhang… - … Conference on Electrical …, 2023 - ieeexplore.ieee.org
The escalating demand for heightened performance in global mobile communication
systems necessitates novel methods to optimize spectrum and communication resource …

Fast learning cognitive radios in underlay dynamic spectrum access: Integration of transfer learning into deep reinforcement learning

F Shah-Mohammadi… - 2020 Wireless …, 2020 - ieeexplore.ieee.org
Cognitive radio (CR) as a leading technology in realizing dynamic spectrum access (DSA)
offers a large efficiency and flexibility in the use of radio spectrum. The cognition feature …

A novel dynamic spectrum access framework based on reinforcement learning for cognitive radio sensor networks

Y Lin, C Wang, J Wang, Z Dou - Sensors, 2016 - mdpi.com
Cognitive radio sensor networks are one of the kinds of application where cognitive
techniques can be adopted and have many potential applications, challenges and future …

A judicious spectrum sensing technique in cognitive radio assisted internet of vehicles

A Raveendran, M Patra - 2019 IEEE International Conference …, 2019 - ieeexplore.ieee.org
Internet of Vehicles (IoV) as an area of research has lately attracted the interest of
researchers for providing safe and comfortable driving experience to users. However …

Deep reinforcement learning for resource allocation with network slicing in cognitive radio network

S Yuan, Y Zhang, W Qie, T Ma, S Li - Computer Science and …, 2021 - doiserbia.nb.rs
With the development of wireless communication technology, the requirement for data rate is
growing rapidly. Mobile communication system faces the problem of shortage of spectrum …