MIMO spectrum sensing for cognitive radio-based Internet of things
The emerging cognitive radio-based Internet-of-Things (CR-IoT) network provides a novel
paradigm solution for IoT devices to efficiently utilize spectrum resources. Spectrum sensing …
paradigm solution for IoT devices to efficiently utilize spectrum resources. Spectrum sensing …
CNN-based detector for spectrum sensing with general noise models
A Mehrabian, M Sabbaghian… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we consider spectrum sensing (SS) problems with various general noise
models such as Middleton class A (MCA), isometric complex symmetric-stable (), and …
models such as Middleton class A (MCA), isometric complex symmetric-stable (), and …
Improved energy detection with Laplacian noise in cognitive radio
Contaminated by Laplacian noise, the performance of energy detection (ED) degrades. To
address this problem, an improved energy detection (i-ED) is proposed. Instead of the …
address this problem, an improved energy detection (i-ED) is proposed. Instead of the …
Rethinking autocorrelation for deep spectrum sensing in cognitive radio networks
We design a novel learning-based spectrum sensing model. Under the insight that an
autocorrelation curve yields richer information than a single sum of received signal powers …
autocorrelation curve yields richer information than a single sum of received signal powers …
Dynamic threshold-setting for RF-powered cognitive radio networks in non-Gaussian noise
C Shi, Z Dou, Y Lin, W Li - Physical Communication, 2018 - Elsevier
The increasing demand for spectral and energy efficient communication networks has drawn
an upsurge of interest in frequency (RF) energy harvesting (EH) cognitive radio networks …
an upsurge of interest in frequency (RF) energy harvesting (EH) cognitive radio networks …
Spectrum sensing for cognitive radio network with multiple receive antennas under impulsive noise environments
Spectrum sensing with multiple receive antennas is addressed in the cognitive radio
network under impulsive noise environments. Based on order statistics, we propose a non …
network under impulsive noise environments. Based on order statistics, we propose a non …
A robust hyperbolic tangent-based energy detector with Gaussian and non-Gaussian noise environments in cognitive radio system
H Qu, X Xu, J Zhao, F Yan, W Wang - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
Spectrum sensing is important for a cognitive radio (CR) system to protect primary users
(PUs) from harmful interference. At present, most of the existing sensing schemes are …
(PUs) from harmful interference. At present, most of the existing sensing schemes are …
[HTML][HTML] Spectrum and energy efficient multi-antenna spectrum sensing for green UAV communication
Abstract Unmanned Aerial Vehicle (UAV) communication is a promising technology that
provides swift and flexible on-demand wireless connectivity for devices without infrastructure …
provides swift and flexible on-demand wireless connectivity for devices without infrastructure …
Sigmoid function detector in the presence of heavy-tailed noise for multiple antenna cognitive radio networks
MY Manesh, A Olfat - 2017 IEEE International Conference on …, 2017 - ieeexplore.ieee.org
An efficient spectrum sensing scheme is proposed for detecting a primary signal corrupted
by a Generalized Gaussian Noise (GGN). It is assumed that the power of the primary signal …
by a Generalized Gaussian Noise (GGN). It is assumed that the power of the primary signal …
Sparse Bayesian compressed spectrum sensing under Gaussian mixture noise
X Zhao, F Li - IEEE Transactions on Vehicular Technology, 2018 - ieeexplore.ieee.org
Improving the performance of spectrum sensing in cognitive radio (CR) systems by
exploiting sparse property via compressed sensing has been attracting a lot of research …
exploiting sparse property via compressed sensing has been attracting a lot of research …