Adaptive Compressive Spectrum Sensing for Wideband Cognitive Radios [PDF]
IEEE Communications Letters, 2012 11 pages, 4 figures. This paper has been accepted to be published in IEEE Communications Letters.
, Wei-Yu Chiu, Arumugam Nallanathan
exaly +7 more sources
Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform [PDF]
The Scientific World Journal, 2014 Discrete cosine transform (DCT) is a special type of transform which is widely used for compression of speech and image. However, its use for spectrum sensing has not yet received widespread attention.
Yulin Wang, Gengxin Zhang
doaj +3 more sources
Wideband Spectrum Sensing in Cognitive Radio Networks [PDF]
2008 IEEE International Conference on Communications, 2008 Spectrum sensing is an essential enabling functionality for cognitive radio networks to detect spectrum holes and opportunistically use the under-utilized frequency bands without causing harmful interference to legacy networks. This paper introduces a novel wideband spectrum sensing technique, called multiband joint detection, which jointly detects the
Zhi Quan +3 more
openaire +3 more sources
Bayesian Compressive Sensing Wideband Spectrum Detection Based on Energy Efficiency [PDF]
Jisuanji gongcheng, 2016 In Cognitive Radio Network(CRN),wideband spectrum detection based on Compressive Sensing(CS) only focuses on spectral efficiency.Energy efficiency is hardly considered in spectrum detection phase,which results in larger energy consumption with the ...
WANG Zan,XU Xiaorong,YAO Yingbiao
doaj +2 more sources
Gerschgorin disk theorem based spectrum sensing for wideband cognitive radio [PDF]
Tongxin xuebao, 2014 Gerschgorin disk theorem (GDT) based wideband spectrum sensing methods, namely Gerschgorin likelihood estimate(GLE) algorithm and Gerschgorin disk radii iteration(GDRI) algorithm, were proposed for cognitive radios.
Bin SHEN +3 more
doaj +4 more sources
Wideband Spectrum Sensing Method Based on Channels Clustering and Hidden Markov Model Prediction
Information, 2019 Spectrum sensing is the necessary premise for implementing cognitive radio technology. The conventional wideband spectrum sensing methods mainly work with sweeping frequency and still face major challenges in performance and efficiency.
Huan Wang +3 more
doaj +2 more sources
Cooperative Wideband Spectrum Sensing Over Fading Channels [PDF]
IEEE Transactions on Vehicular Technology, 2016 In cognitive radio (CR) systems, it is crucial for secondary users to reliably detect spectral opportunities across a wide frequency range. This paper studies a novel multirate sub-Nyquist spectrum sensing (MS3) system capable of performing wideband spectrum sensing in a cooperative CR network over fading channels.
Hongjian Sun 0001 +3 more
openaire +3 more sources
Compressed Wideband Spectrum Sensing: Concept, Challenges, and Enablers [PDF]
IEEE Communications Magazine, 2018 6 pages, 5 figures, and 1 ...
Béchir Hamdaoui +2 more
exaly +3 more sources
A Robust Method Based on Deep Learning for Compressive Spectrum Sensing [PDF]
SensorsIn cognitive radio, compressive spectrum sensing (CSS) is critical for efficient wideband spectrum sensing (WSS). However, traditional reconstruction algorithms exhibit suboptimal performance, and conventional WSS methods fail to fully capture the ...
Haoye Zeng +3 more
doaj +2 more sources
Least entropy based randomized strategy for wideband spectrum sensing with cooperation
Tongxin xuebao, 2010 To study the strategy for wideband spectrum sensing in cognitive radio system,the relation between the accuracy of channel state estimation and entropy was analyzed from the perspective of information entropy.And then a least entropy based randomized ...
MAI Lei-xin, QIN Xiao-wei, DAI Xu-chu
doaj +3 more sources