CM-LSTM Based Spectrum Sensing. [PDF]
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]
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
doaj +3 more sources
Ground-to-UAV, laser-based emissions quantification of methane and acetylene at long standoff distances [PDF]
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]
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]
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]
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
Sensing Opportunities in UMTS spectrum [PDF]
The UMTS radio frequency spectrum is a highly expensive commodity. While the UMTS standards make very efficient use of the allocated bands there is however opportunity for further advancements. This paper focuses on opportunistic use of the UMTS spectrum as a means of ensuring that the maximum possible use of this valuable resource is made.
Marques, P., Gameiro, A.
openaire +2 more sources
Spectrum Sensing in Cognitive Radio Using CNN-RNN and Transfer Learning
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
Spectrum Sensing Optimization in an UAV-Based Cognitive Radio
In cognitive radio (CR), the detection performance of traditional spectrum sensing may be decreased due to the multipath fading and shadowing effect. However, unmanned aerial vehicle (UAV) can receive a higher strength signal without suffering severe ...
Xin Liu +3 more
doaj +1 more source
Autonomous Compressive-Sensing-Augmented Spectrum Sensing [PDF]
This paper proposes a new spectrum sensing technique, referred to as autonomous compressive sensing (CS)-augmented spectrum sensing, which can be developed to provide more efficient spectrum opportunity identification than geolocation database methods.
Xingjian Zhang +3 more
openaire +2 more sources

