scholarly journals Channel quality prediction based on Bayesian inference in cognitive radio networks

2013 ◽  
Author(s):  
Xiaoshuang Xing ◽  
Tao Jing ◽  
Yan Huo ◽  
Hongjuan Li ◽  
Xiuzhen Cheng
Keyword(s):  
Cognitive Radio ◽  
Bayesian Inference ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Quality Prediction ◽  
Channel Quality

scholarly journals A Two-Dimensional Multiarmed Bandit Approach to Secondary Users with Network Coding in Cognitive Radio Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Yuben Qu ◽  
Chao Dong ◽  
Dawei Niu ◽  
Hai Wang ◽  
Chang Tian
Keyword(s):  
Cognitive Radio ◽  
Network Coding ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Two Dimensional ◽  
Throughput Performance ◽  
Secondary Users ◽  
Channel Quality ◽  
Throughput Optimality ◽  
Multiarmed Bandit

We study how to utilize network coding to improve the throughput of secondary users (SUs) in cognitive radio networks (CRNs) when the channel quality is unavailable at SUs. We use a two-dimensional multiarmed bandit (MAB) approach to solve the problem of SUs with network coding under unknown channel quality in CRNs. We analytically prove the asymptotical-throughput optimality of the proposed two-dimensional MAB algorithm. Simulation results show that our proposed algorithm achieves comparable throughput performance, compared to both the theoretical upper bound and the scheme assuming known channel quality information.

A Switching-Based and Delay-Aware Scheduling Algorithm for Cognitive Radio Networks

2019 ◽  
Vol 11 (3) ◽  
pp. 34-48
Author(s):  
Omar Sweileh ◽  
Mohamed S. Hassan ◽  
Hasan S. Mir ◽  
Mahmoud H. Ismail
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Optimization Problem ◽  
Scheduling Algorithm ◽  
Primary User ◽  
Radio Networks ◽  
Multiple Time ◽  
Channel Quality ◽  
Switching Delay ◽  
Inter Frame

In this article, an opportunistic inter-frame spectrum scheduler that maximizes the throughput of cognitive radio networks over a span of multiple time-slots is proposed. An optimization problem is formulated to find the optimum inter-frame scheduler while taking into account the switching delay, the primary user (PU) activity, historical information on the PU behavior, the channel quality as well as the secondary user (SU) status. Simulation results show that the proposed inter-frame scheduler significantly improved the overall aggregate throughput and average switching delay of the cognitive radio network when compared to the values obtained when scheduling is done on a slot-by-slot basis.

Bayesian inference and fuzzy inference for spectrum sensing order in cognitive radio networks

2014 ◽  
Vol 28 (1) ◽  
pp. e2916
Author(s):  
Ahmed Mohamedou ◽  
Aduwati Sali ◽  
Borhanuddin Ali ◽  
Mohamed Othman ◽  
Hafizal Mohamad
Keyword(s):  
Cognitive Radio ◽  
Bayesian Inference ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Fuzzy Inference ◽  
Radio Networks

scholarly journals Channel quality estimation metrics in cognitive radio networks: a survey

2017 ◽  
Vol 11 (8) ◽  
pp. 1173-1179 ◽  
Author(s):  
Tarek Elderini ◽  
Naima Kaabouch ◽  
Hector Reyes
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Quality Estimation ◽  
Channel Quality
Sign in / Sign up

Export Citation Format

Share Document