A study of cognitive radio sensing techniques for optimum spectrum utilization
I TM - Recent Advances in Computer Science and …, 2022 - benthamdirect.com
Background: The spectrum scarcity plays a vital role in wireless communications. We are in
the situation to use it through an efficient methodology. Objective: To identify the holes in the …
the situation to use it through an efficient methodology. Objective: To identify the holes in the …
Riemannian mean shift-based data fusion scheme for multi-antenna cooperative spectrum sensing
Y Zhang, S Zhang, Y Wang, J Zhuang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, the multi-antenna cooperative spectrum sensing problem in cognitive radio
networks is investigated over Riemannian manifold. At the beginning, a signal matrix is …
networks is investigated over Riemannian manifold. At the beginning, a signal matrix is …
Information geometry-based fuzzy-c means algorithm for cooperative spectrum sensing
Y Zhang, C Ma, Y Wang, S Zhang, P Wan - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, the spectrum sensing problem is investigated under the context of information
geometry and a novel clustering algorithm based spectrum sensing scheme is developed to …
geometry and a novel clustering algorithm based spectrum sensing scheme is developed to …
Modified fuzzy C-means and K-means clustering based spectrum sensing using cooperative spectrum for cognitive radio networks applications
V Parimala, K Devarajan - Journal of Intelligent & Fuzzy …, 2022 - content.iospress.com
The recent decade has seen a rapid evolution of communication technologies and
standards with the ultimate goal of providing global users with seamless connectivity a data …
standards with the ultimate goal of providing global users with seamless connectivity a data …
Statistical Characterization of the Magnetic Field in Space during Magnetic Storms
SH Wang, L Li, T Chen, S Ti, CL Cai, W Li, J Luo - Atmosphere, 2022 - mdpi.com
Magnetic storms are an important type of space weather and are usually caused by large
streams of charged elementary particles (ions, for example) generated during solar wind …
streams of charged elementary particles (ions, for example) generated during solar wind …
Skewness and access kurtosis as denoised mixed features-based K-Medoids for cooperative spectrum sensing
A traditional cooperative spectrum sensing system based on the energy features of random
matrix theory does not function well when the signal-to-noise ratio is low in the Gaussian …
matrix theory does not function well when the signal-to-noise ratio is low in the Gaussian …
Broadband Spectrum Sensing Based on Exponential Sum Decomposition
P Li, TX Qian, HQ Wang, T Wang - 2023 IEEE 11th Joint …, 2023 - ieeexplore.ieee.org
In this paper, a blind broadband spectrum sensing based on Hankel matrix and Kung
method is proposed. Specifically, first, the entire broadband spectrum is sampled by a …
method is proposed. Specifically, first, the entire broadband spectrum is sampled by a …
A low complex spectrum sensing technique for medical telemetry system
Wearable wireless sensors play a vital role in healthcare applications to transfer information
of patients. Generally, wearable devices are used for monitoring, diagnosing, and treating …
of patients. Generally, wearable devices are used for monitoring, diagnosing, and treating …
An Intelligent cognitive sensing and detection strategy for medical telemetry networks
S Surekha, M Zia Ur Rahman - Journal of Intelligent & Fuzzy …, 2021 - content.iospress.com
In medical telemetry networks, cognitive radio technology is mostly used to avoid licensed
spectrum underutilization and by providing access to unlicensed spectrum users without …
spectrum underutilization and by providing access to unlicensed spectrum users without …