Dynamic channel selection and transmission scheduling for cognitive radio networks

X Zhu, Y Huang, Q Wu, F Zhou, X Ge… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Cognitive radio networks (CRNs) are expected to be promising techniques for improving the
spectrum efficiency of wireless network utility in the squeezed sub-6-GHz frequency bands …

Dynamic rate and channel selection in cognitive radio systems

R Combes, A Proutière - IEEE Journal on Selected Areas in …, 2014 - ieeexplore.ieee.org
In this paper, we investigate dynamic channel and rate selection in cognitive radio systems
that exploit a large number of channels free from primary users. In such systems, transmitters …

On the spectrum-and energy-efficiency tradeoff in cognitive radio networks

H Hu, H Zhang, YC Liang - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Increasing spectrum-efficiency (SE) as well as energy-efficiency (EE) has attracted much
attention recently due to the fact that the future wireless networks need to address the issues …

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 …

Channel selection algorithm for cognitive radio networks with heavy-tailed idle times

S Sengottuvelan, J Ansari, P Mähönen… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
We consider a multichannel Cognitive Radio Network (CRN), where secondary users
sequentially sense channels for opportunistic spectrum access. In this scenario, the Channel …

Energy-aware scheduling for multi-hop cognitive radio networks

J Peng, H Yue, K Xue, Y Luo, P Hong… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Cognitive radio (CR) technology, which enables unlicensed secondary users to
opportunistically access the unused licensed spectrum, has attracted more and more …

Machine learning-based algorithm for channel selection utilizing preemptive resume priority in cognitive radio networks validated by ns-2

D Sumathi, SS Manivannan - Circuits, Systems, and Signal Processing, 2020 - Springer
This paper utilizes the cognitive radio (CR) spectrum to the fullest extent for extended
applications requiring discretion. The CR technology provides various supports for cognitive …

A new energy-efficient scheduling algorithm based on particle swarm optimization for cognitive radio networks

Y Qu, M Wang, J Hu - 2014 IEEE International Conference on …, 2014 - ieeexplore.ieee.org
Researches on scheduling in cognitive radio (CR) networks (CRN) mostly focus on
spectrum efficiency before. With more portable devices supplied by energy-limited batteries …

Adaptive transmission scheduling over fading channels for energy-efficient cognitive radio networks by reinforcement learning

J Zhu, J Wang, T Luo, S Li - Telecommunication Systems, 2009 - Springer
In this paper, we address a cross-layer issue of long-term average utility maximization in
energy-efficient cognitive radio networks supporting packetized data traffic under the …

Power and rate control for delay-constrained cognitive radios via dynamic programming

L Gao, S Cui - IEEE Transactions on Vehicular Technology, 2009 - ieeexplore.ieee.org
In this paper, we investigate the power and rate-control schemes for multiple cognitive radio
(CR) links in the same neighborhood, which operate over multiple channels (frequency …