Learning-aided sub-band selection algorithms for spectrum sensing in wide-band cognitive radios

Y Li, SK Jayaweera, M Bkassiny… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
We propose wide-band spectrum sensing scheduling solutions for cognitive radios that are
equipped with reconfigurable RF front-ends. The wide frequency spectrum of interest is …

Replicated Q-learning based sub-band selection for wideband spectrum sensing in cognitive radios

MA Aref, S Machuzak, SK Jayaweera… - 2016 IEEE/CIC …, 2016 - ieeexplore.ieee.org
Spectrum sensing is a key basic function in any wideband cognitive radio (CR) for detecting
the presence of any spectral activities. However, due to hardware constraints, the …

Learning‐based spectrum sensing for cognitive radio systems

Y Hassan, M El-Tarhuni… - Journal of Computer …, 2012 - Wiley Online Library
This paper presents a novel pattern recognition approach to spectrum sensing in
collaborative cognitive radio systems. In the proposed scheme, discriminative features from …

Optimal wideband spectrum sensing framework for cognitive radio systems

P Paysarvi-Hoseini, NC Beaulieu - IEEE Transactions on signal …, 2010 - ieeexplore.ieee.org
An optimal wideband spectrum sensing framework which identifies secondary transmission
opportunities over multiple nonoverlapping narrowband channels is presented. The …

Multiagent reinforcement learning based spectrum sensing policies for cognitive radio networks

J Lunden, SR Kulkarni, V Koivunen… - IEEE journal of selected …, 2013 - ieeexplore.ieee.org
This paper proposes distributed multiuser multiband spectrum sensing policies for cognitive
radio networks based on multiagent reinforcement learning. The spectrum sensing problem …

Wideband spectrum sensing for cognitive radios: a multistage wiener filter perspective

H Qing, Y Liu, G Xie, J Gao - IEEE signal processing letters, 2014 - ieeexplore.ieee.org
A wideband spectrum sensing scheme for cognitive radios is put forward in this letter. The
proposed method operates over the total frequency bands simultaneously rather than a …

Dynamic learning for cognitive radio sensing

SJ Kim, GB Giannakis - 2013 5th IEEE International Workshop …, 2013 - ieeexplore.ieee.org
Spectrum sensing algorithms for cognitive radios that can interpolate and predict the spatio-
temporal interference power distribution are proposed using the dictionary learning …

Learning-based spectrum sensing time optimization in cognitive radio systems

H Shokri-Ghadikolaei, Y Abdi… - 6th International …, 2012 - ieeexplore.ieee.org
Powerful spectrum sensing schemes enable cognitive radios (CRs) to find transmission
opportunities in spectral resources allocated exclusively to primary users. In this paper, the …

Spectrum access in cognitive radio using a two-stage reinforcement learning approach

V Raj, I Dias, T Tholeti, S Kalyani - IEEE Journal of Selected …, 2018 - ieeexplore.ieee.org
With the advent of the fifth generation of wireless standards and an increasing demand for
higher throughput, methods to improve spectral efficiency of wireless systems have become …

Enhancing cognitive radio dynamic spectrum sensing through adaptive learning

C Tekin, S Hong, W Stark - MILCOM 2009-2009 IEEE Military …, 2009 - ieeexplore.ieee.org
Cognitive Radio (CR) networks present a difficult set of challenges due to the fluctuating
nature of the available spectrum and wide ranging number of applications, each having …