[HTML][HTML] Intelligent cognitive radio ad-hoc network: Planning, learning and dynamic configuration

KE Lee, JG Park, SJ Yoo - Electronics, 2021 - mdpi.com
Cognitive radio (CR) is an adaptive radio technology that can automatically detect available
channels in a wireless spectrum and change transmission parameters to improve the radio …

Q-learning based multi-objective clustering algorithm for cognitive radio ad hoc networks

MA Hossen, SJ Yoo - IEEE Access, 2019 - ieeexplore.ieee.org
Cognitive radio (CR) is an adaptive radio technology that can automatically detect available
channels in a wireless spectrum and change transmission parameters to improve radio …

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 …

[HTML][HTML] Reinforcement learning-based dynamic band and channel selection in cognitive radio ad-hoc networks

SJ Jang, CH Han, KE Lee, SJ Yoo - EURASIP Journal on Wireless …, 2019 - Springer
In cognitive radio (CR) ad-hoc network, the characteristics of the frequency resources that
vary with the time and geographical location need to be considered in order to efficiently use …

Reinforcement learning based sensing policy optimization for energy efficient cognitive radio networks

J Oksanen, J Lundén, V Koivunen - Neurocomputing, 2012 - Elsevier
This paper introduces a machine learning based collaborative multi-band spectrum sensing
policy for cognitive radios. The proposed sensing policy guides secondary users to focus the …

Reinforcement Learning‐Based Routing Protocol to Minimize Channel Switching and Interference for Cognitive Radio Networks

T Safdar Malik, MH Hasan - Complexity, 2020 - Wiley Online Library
In the existing network‐layered architectural stack of Cognitive Radio Ad Hoc Network
(CRAHN), channel selection is performed at the Medium Access Control (MAC) layer …

Network management of cognitive radio ad hoc networks

P Potier, L Qian - Proceedings of the 4th International Conference on …, 2011 - dl.acm.org
In this paper, we examine the problem of network management for cognitive radio ad hoc
networks.(CRAHNs). A cognitive radio (CR) is an intelligent wireless communications device …

Brain-inspired dynamic spectrum management for cognitive radio ad hoc networks

F Khozeimeh, S Haykin - IEEE Transactions on Wireless …, 2012 - ieeexplore.ieee.org
This paper introduces the self-organizing dynamic spectrum management (SO-DSM) for ad
hoc cognitive radio (CR) networks. In this scheme, CR units try to exploit the primary …

Channel status learning for cooperative spectrum sensing in energy-restricted cognitive radio networks

Z Jin, K Yao, B Lee, J Cho, L Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
A cognitive radio (CR) is a promising technology to solve the emerging spectrum crisis,
especially for applications where thousands of wireless sensor nodes are deployed. Since …

A survey and performance evaluation of reinforcement learning based spectrum aware routing in cognitive radio ad hoc networks

R Naveen Raj, A Nayak, MS Kumar - International Journal of wireless …, 2020 - Springer
Cognitive radio technology is an assuring solution for under-utilization of licensed spectrum
bands and overcrowding of unlicensed spectrum bands, in which secondary user is …