Graph-based multi-view learning for cooperative spectrum sensing
This paper concerns the cooperative spectrum sensing (CSS) for cognitive radio (CR)
networks, where the secondary users (SUs) collaborate to detect the presence of the primary …
networks, where the secondary users (SUs) collaborate to detect the presence of the primary …
Multi-view semi-supervised learning for cooperative spectrum sensing
Cooperative spectrum sensing (CSS) for cognitive radio networks (CRN) emerged to
enhance the utilization of the frequency bands. CSS has multiple collaborated secondary …
enhance the utilization of the frequency bands. CSS has multiple collaborated secondary …
Graph learning-based cooperative spectrum sensing in cognitive radio networks
In cooperative spectrum sensing (CSS), received signal strengths (RSSs) of multiple
secondary users (SUs) are combined to improve sensing performance. In existing CSS …
secondary users (SUs) are combined to improve sensing performance. In existing CSS …
Deep sensing: Cooperative spectrum sensing based on convolutional neural networks
In this paper, we investigate cooperative spectrum sensing (CSS) in a cognitive radio
network (CRN) where multiple secondary users (SUs) cooperate in order to detect a primary …
network (CRN) where multiple secondary users (SUs) cooperate in order to detect a primary …
Deep learning for cooperative spectrum sensing in cognitive radio
Z Chen, D Guo, J Zhang - 2020 IEEE 20th International …, 2020 - ieeexplore.ieee.org
In this paper, we propose a collaborative spectrum sensing algorithm based on deep
learning. Firstly, we use distributed secondary users (SUs) to receive sensing samples …
learning. Firstly, we use distributed secondary users (SUs) to receive sensing samples …
A graph convolution network based adaptive cooperative spectrum sensing in cognitive radio network
The hidden node problem is one of the most challenging issue in Cooperative Spectrum
Sensing (CSS). The system models adopted by the existing Deep Learning-based spectrum …
Sensing (CSS). The system models adopted by the existing Deep Learning-based spectrum …
Deep cooperative sensing: Cooperative spectrum sensing based on convolutional neural networks
In this paper, we investigate cooperative spectrum sensing (CSS) in a cognitive radio
network (CRN) where multiple secondary users (SUs) cooperate in order to detect a primary …
network (CRN) where multiple secondary users (SUs) cooperate in order to detect a primary …
Distributed learning-based multi-band multi-user cooperative sensing in cognitive radio networks
Multi-band cooperative spectrum sensing can provide access to a wide range of spectrum in
cognitive radio networks (CRNs). The design of multi-band spectrum sensing is very …
cognitive radio networks (CRNs). The design of multi-band spectrum sensing is very …
Imbalanced learning for cooperative spectrum sensing in cognitive radio networks
We propose a novel cooperative spectrum sensing (CSS) framework for cognitive radio
networks based on imbalanced learning techniques, which aims to resolve the skewed …
networks based on imbalanced learning techniques, which aims to resolve the skewed …
Deep transfer cooperative sensing in cognitive radio
In this letter, we propose a deep transfer cooperative sensing (DTCS) approach in cognitive
radio networks, where multiple secondary users (SUs) cooperate to detect the presence of …
radio networks, where multiple secondary users (SUs) cooperate to detect the presence of …