Results 11 to 20 of about 22,406 (266)
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
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A Self-Adaptive Progressive Support Selection Scheme for Collaborative Wideband Spectrum Sensing [PDF]
Sensors, 2018 The sampling rate of wideband spectrum sensing for sparse signals can be reduced by sub-Nyquist sampling with a Modulated Wideband Converter (MWC). In collaborative spectrum sensing, the fusion center recovers the spectral support from observation and ...
Zhuhua Hu +4 more
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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
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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.
Sun, Hongjian +3 more
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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
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Wideband spectrum sensing based on modulated wideband converter with nested array
IET Communications, 2021 Several spectrum sensing systems based on sub‐Nyquist sampling have been extensively studied to deal with difficulties of traditional wideband spectrum sensing in cognitive radio (CR) networks.
Qiuyue Li, Zhi Li, Jian Li
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Cooperative wideband spectrum sensing with multi-bit hard decision in cognitive radio [PDF]
, 2013 Cognitive radio offers an increasingly attractive solution to overcome the underutilization problem. A sensor network based cooperative wideband spectrum sensing is proposed in this paper. The purpose of the sensor network is to determine the frequencies
Ammar, M. +4 more
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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
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IEEE Access, 2018 Wideband spectrum sensing is an important aspect of cognitive radio systems. In current models of wide spectrum sensing, a discrete frequency denotes a continuous frequency band. This type of model is divorced from practice and cannot reflect the reality
Yulong Gao, Yanping Chen, Yongkui Ma
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Multiband Spectrum Access: Great Promises for Future Cognitive Radio Networks [PDF]
, 2014 Cognitive radio has been widely considered as one of the prominent solutions to tackle the spectrum scarcity. While the majority of existing research has focused on single-band cognitive radio, multiband cognitive radio represents great promises towards ...
Ghaith Hattab +2 more
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