Intelligent spectrum sensing: An unsupervised learning approach based on dimensionality reduction
NA Khalek, W Hamouda - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
In Cognitive radio (CR), users take advantage of vacant licensed bands to transmit their data
as they become available. Cognitive users employ an autonomous perception-action …
as they become available. Cognitive users employ an autonomous perception-action …
Unsupervised two-stage learning framework for cooperative spectrum sensing
NA Khalek, W Hamouda - ICC 2021-IEEE International …, 2021 - ieeexplore.ieee.org
A cognitive radio (CR) network consists of wireless devices that opportunistically borrow
vacant licensed bands. Cognitive users adaptively employ a perception-action decision …
vacant licensed bands. Cognitive users adaptively employ a perception-action decision …
DeepSense: An unsupervised deep clustering approach for cooperative spectrum sensing
NA Khalek, W Hamouda - ICC 2023-IEEE International …, 2023 - ieeexplore.ieee.org
Cognitive radio (CR) users can transmit data as vacant licensed bands become available.
By using machine learning, CR users can intelligently sense channel activity and determine …
By using machine learning, CR users can intelligently sense channel activity and determine …
Collaborative Learning Based Spectrum Sensing Under Partial Observations
To deal with the complex wireless cognitive radios, data-driven learning technologies have
been advocated for spectrum sensing. While the existing learning-based methods are …
been advocated for spectrum sensing. While the existing learning-based methods are …
Cognitive radio spectrum sensing and prediction using deep reinforcement learning
SQ Jalil, S Chalup, MH Rehmani - 2021 International Joint …, 2021 - ieeexplore.ieee.org
In this paper, we propose to use deep reinforcement learning (DRL) for the task of
cooperative spectrum sensing (CSS) in a cognitive radio network. We selected a recently …
cooperative spectrum sensing (CSS) in a cognitive radio network. We selected a recently …
A cooperative spectrum sensing with multi-agent reinforcement learning approach in cognitive radio networks
Cognitive radio networks (CRNs) can greatly improve the temporal and spatial spectrum
utilization by identifying and exploring spectrum holes of the licensed primary users (PUs) …
utilization by identifying and exploring spectrum holes of the licensed primary users (PUs) …
Spectrum availability prediction for cognitive radio communications: A DCG approach
Cognitive Radio (CR) technology enables secondary users (SUs) to opportunistically access
unused licensed spectrum owned by primary users (PUs). It has the potential to significantly …
unused licensed spectrum owned by primary users (PUs). It has the potential to significantly …
Research on wireless spectrum sensing technology based on machine learning
H Xiao, X Zhou, Y Tian - Security, Privacy, and Anonymity in Computation …, 2018 - Springer
In this paper, based on the spectrum sensing problem of the primary user signal in low SNR
environment, an improved random forest spectrum sensing algorithm is proposed by using …
environment, an improved random forest spectrum sensing algorithm is proposed by using …
Spectrum sensing detection algorithm based on eigenvalue variance
W Zi-li, S Xiao-ou, W Xiao-rong - 2019 IEEE 8th Joint …, 2019 - ieeexplore.ieee.org
Energy detection as a kind of the traditional spectrum sensing is susceptible to the
uncertainty of noise variance. Its performance is poor at low SNR and there is a" signal to …
uncertainty of noise variance. Its performance is poor at low SNR and there is a" signal to …
[HTML][HTML] Energy-efficient cooperative spectrum sensing using machine learning algorithm
Cognitive Radio (CR) is a practical technique for overcoming spectrum inefficiencies by
sensing and utilizing spectrum holes over a wide spectrum. In particular, cooperative …
sensing and utilizing spectrum holes over a wide spectrum. In particular, cooperative …