CM-LSTM Based Spectrum Sensing. [PDF]
Sensors (Basel), 2022 This paper presents spectrum sensing as a classification problem, and uses a spectrum-sensing algorithm based on a signal covariance matrix and long short-term memory network (CM-LSTM). We jointly exploited the spatial cross-correlation of multiple signals received by the antenna array and the temporal autocorrelation of single signals; we used the ...
Chen W, Wu H, Ren S.
europepmc +4 more sources
Compressive Multispectral Spectrum Sensing for Spectrum Cartography [PDF]
Sensors, 2018 In the process of spectrum sensing applied to wireless communications, it is possible to build interference maps based on acquired power spectral values.
Jeison Marín Alfonso +3 more
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Spectrum Sensing for Cognitive Radio Systems Through Primary User Activity Prediction [PDF]
Radioengineering, 2012 Traditional spectrum sensing techniques such as energy detection, for instance, can sense the spectrum only when the cognitive radio (CR) is is not in operation.
S. S. Ivrigh, S. M.-S. Sadough
doaj +2 more sources
Ground-to-UAV, laser-based emissions quantification of methane and acetylene at long standoff distances [PDF]
Atmospheric Measurement Techniques, 2023 Determination of trace gas emissions from sources is critical for understanding and regulating air quality and climate change. Here, we demonstrate a method for rapid quantification of the emission rate of multiple gases from simple and complex sources ...
K. C. Cossel +6 more
doaj +1 more source
Evaluation of the Effects of Compressive Spectrum Sensing Parameters on Primary User Behavior Estimation [PDF]
Port Said Engineering Research Journal, 2021 As the Internet of Things (IoT) technology is being deployed, the demand for radio spectrum is increasing. Cognitive radio (CR) is one of the most promising solutions to allow opportunistic spectrum access for IoT secondary users through utilizing ...
Ahmed Tawfik +2 more
doaj +1 more source
Selectively Triggered Cooperative Spectrum Sensing in Wireless Cognitive Network [PDF]
Jisuanji gongcheng, 2017 In Wireless Cognitive Network(WCN),conventional cooperative spectrum sensing algorithms are used to enhance the accuracy of spectrum sensing,but cooperative spectrum sensing algorithm increases communication costs and the energy consumption of secondary ...
PENG Yi,CUI Ziru,CHEN Changkai
doaj +1 more source
Spectrum sensing infrastructure support for IEEE 1900.6b sensing-assisted spectrum databases [PDF]
2016 IEEE Conference on Standards for Communications and Networking (CSCN), 2016 Spectrum databases are increasingly being used, particularly in spectrum sharing mechanisms, but also in realms such as network optimization, novel licensing regimes, and regulatory monitoring, among others. Spectrum databases are often far more effective, reactive, or sometimes even are required to operate, in conjunction with spectrum sensing ...
Bochow, Bernd +2 more
openaire +3 more sources
A Sensing Error Aware MAC Protocol for Cognitive Radio Networks [PDF]
, 2011 Cognitive radios (CR) are intelligent radio devices that can sense the radio environment and adapt to changes in the radio environment. Spectrum sensing and spectrum access are the two key CR functions.
Hu, Donglin, Mao, Shiwen
core +2 more sources
Spectrum Sensing in Cognitive Radio Using CNN-RNN and Transfer Learning
IEEE Access, 2022 Cognitive radio has been proposed to improve spectrum utilization in wireless communication. Spectrum sensing is an essential component of cognitive radio.
Surendra Solanki +4 more
doaj +1 more source
Collaborative spectrum sensing optimisation algorithms for cognitive radio networks [PDF]
, 2010 The main challenge for a cognitive radio is to detect the existence of primary users reliably in order to minimise the interference to licensed communications. Hence, spectrum sensing is a most important requirement of a cognitive radio.
Arshad, Kamran +2 more
core +4 more sources