Machine learning for cooperative spectrum sensing and sharing: A survey
With the rapid development of next‐generation wireless communication technologies and
the increasing demand of spectrum resources, it becomes necessary to introduce learning …
the increasing demand of spectrum resources, it becomes necessary to introduce learning …
Heterogeneous network access and fusion in smart factory: A survey
With the continuous expansion of the Industrial Internet of Things (IIoT) and the increasing
connectivity among the various intelligent devices or systems, the control of access and …
connectivity among the various intelligent devices or systems, the control of access and …
Improved cooperative spectrum sensing model based on machine learning for cognitive radio networks
This study presents a new machine learning (support vector machine (SVM))‐based
cooperative spectrum sensing (CSS) model, which utilises the methods of user grouping, to …
cooperative spectrum sensing (CSS) model, which utilises the methods of user grouping, to …
[HTML][HTML] Machine learning-based malicious user detection for reliable cooperative radio spectrum sensing in Cognitive Radio-Internet of Things
MS Hossain, MS Miah - Machine Learning with Applications, 2021 - Elsevier
Abstract The Cognitive Radio based Internet of Things (CR-IoT) is a promising technology
that provides IoT endpoints, ie, CR-IoT users the capability to share the radio spectrum …
that provides IoT endpoints, ie, CR-IoT users the capability to share the radio spectrum …
A deep convolutional neural network based transfer learning method for non-cooperative spectrum sensing
In this article, we investigate machine learning methods for enabling high performance non-
cooperative spectrum sensing, for future cognitive radio systems. The fulfillment of sensing …
cooperative spectrum sensing, for future cognitive radio systems. The fulfillment of sensing …
Extreme learning machine based identification of malicious users for secure cooperative spectrum sensing in cognitive radio networks
MK Giri, S Majumder - Wireless Personal Communications, 2023 - Springer
Cognitive radio (CR) technology has evolved over the traditional radio to successfully utilize
the unused frequency spectrum. In CR the secondary users (SUs) perform cooperative …
the unused frequency spectrum. In CR the secondary users (SUs) perform cooperative …
Riemannian distance-based fast k-medoids clustering algorithm for cooperative spectrum sensing
S Zhang, Y Wang, Y Zhang, P Wan… - IEEE Systems …, 2021 - ieeexplore.ieee.org
Spectrum sensing is a fundamental component in a cognitive radio network to utilize the
frequency bands effectively. In this article a fast Riemannian distance-based K-medoids …
frequency bands effectively. In this article a fast Riemannian distance-based K-medoids …
Artificial intelligence for radio communication context-awareness
This paper surveys Artificial Intelligence (AI) methods for acquiring and managing context-of-
operation awareness of radio communication nodes, links, and networks. The meaning and …
operation awareness of radio communication nodes, links, and networks. The meaning and …
[PDF][PDF] Machine learning-based malicious user detection in energy harvested cognitive radio-internet of things
The Internet of things (IoT) is a network of interconnected objects that are connected and
controls autonomous machines in the world. The cognitive radio based Internet of things …
controls autonomous machines in the world. The cognitive radio based Internet of things …
Deep learning network based spectrum sensing methods for OFDM systems
Spectrum sensing plays a critical role in dynamic spectrum sharing, a promising technology
to address the radio spectrum shortage. In particular, sensing of Orthogonal frequency …
to address the radio spectrum shortage. In particular, sensing of Orthogonal frequency …