Cognitive radio aided vehicular ad-hoc networks with efficient spectrum allocation and QoS guarantee

EC Joy, S Zhang, E Liu, EE Theresa… - 2016 22nd International …, 2016 - ieeexplore.ieee.org
The increasing demand of diverse vehicular network oriented applications (both safety and
non-safety related services would undoubtedly lead to shortage of spectral resource …

Analyzing the potential of cooperative cognitive radio technology on inter-vehicle communication

M Di Felice, KR Chowdhury… - 2010 IFIP Wireless Days, 2010 - ieeexplore.ieee.org
Recent studies demonstrate that Cognitive Radio (CR) technology can increase the
spectrum efficiency of wireless systems, provided that the activity of primary users (PUs) …

Imperfect CSI based intelligent dynamic spectrum management using cooperative reinforcement learning framework in cognitive radio networks

A Kaur, K Kumar - IEEE Transactions on Mobile Computing, 2020 - ieeexplore.ieee.org
The rapid development of wireless traffic pushed the wireless community to research
different solutions towards the efficient utilization of the available radio spectrum. However, a …

Cooperative Spectrum Sensing Approach in C-V2X based on Multi-Agent Reinforcement Learning

P Li, XL Huang - 2023 17th International Conference on …, 2023 - ieeexplore.ieee.org
In cellular vehicle-to-everything (C-V2X) Mode 4, the autonomous mode is based on
spectrum sensing for vehicles selecting spectrum resources, however, the spectrum sensing …

[图书][B] Machine Learning-enabled Resource Allocation for Underlay Cognitive Radio Networks

FS Mohammadi - 2020 - search.proquest.com
Due to the rapid growth of new wireless communication services and applications, much
attention has been directed to frequency spectrum resources and the way they are …

A cooperative spectrum sensing with multi-agent reinforcement learning approach in cognitive radio networks

A Gao, C Du, SX Ng, W Liang - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
Cognitive radio networks (CRNs) can greatly improve the temporal and spatial spectrum
utilization by identifying and exploring spectrum holes of the licensed primary users (PUs) …

[PDF][PDF] Deep Reinforcement Learning based channel allocation (DRLCA) in Cognitive Radio Networks

MN Pavan - J. Electrical Systems, 2024 - pdfs.semanticscholar.org
The Spectrum is a scarce resource in wireless networks, hence these resources need to be
perfectly channelized for their better utilization. By the study of the previous decades, it is …

Machine learning-based cooperative spectrum sensing in dynamic segmentation enabled cognitive radio vehicular network

MA Hossain, R Md Noor, KLA Yau, SR Azzuhri… - Energies, 2021 - mdpi.com
A vehicle ad hoc network (VANET) is a solution for road safety, congestion management,
and infotainment services. Integration of cognitive radio (CR), known as CR-VANET, is …

Unmanned aerial vehicle-assisted wideband cognitive radio network based on DDQN-SAC

L Yan, Y Cai, H Wei - EURASIP Journal on Advances in Signal …, 2024 - Springer
Cognitive radio (CR) systems have emerged as effective tools for improving spectrum
efficiency and meeting the growing demands of communication. This study focuses on a …

Federated multi-agent deep reinforcement learning (fed-madrl) for dynamic spectrum access

HH Chang, Y Song, TT Doan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Dynamic spectrum access (DSA) has been introduced as a promising technology that allows
a secondary system to access the licensed spectrum of the primary system to improve …