Support Vector Machine Process Against Probabilistic Byzantine Attack for Cooperative Spectrum Sensing in CRNs
Z Zhixuan, W Jun, G Jipeng, Z Chen, S Jin - Proceedings of the 2023 8th …, 2023 - dl.acm.org
In view of the spectrum shortage problem of wireless devices and applications, cognitive
radio (CR) allows secondary users (SUs) with a signal detection function to opportunistically …
radio (CR) allows secondary users (SUs) with a signal detection function to opportunistically …
End-to-end deep learning-based compressive spectrum sensing in cognitive radio networks
X Meng, H Inaltekin, B Krongold - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
In cognitive radio networks, compressive sensing has the potential to allow a secondary
user to efficiently monitor a wideband spectrum at a sub-Nyquist sampling rate without …
user to efficiently monitor a wideband spectrum at a sub-Nyquist sampling rate without …
Dynamic multichannel sensing in cognitive radio: Hierarchical reinforcement learning
S Liu, J Wu, J He - IEEE Access, 2021 - ieeexplore.ieee.org
Efficient use of spectral resources is critical in wireless networks and has been extensively
studied in recent years. Dynamic spectrum access (DSA) is one of the key techniques on …
studied in recent years. Dynamic spectrum access (DSA) is one of the key techniques on …
An overview of cooperative spectrum sensing based on machine learning techniques
C Gattoua, O Chakkor, F Aytouna - 2020 IEEE 2nd International …, 2020 - ieeexplore.ieee.org
Cognitive Radio is an intelligent wireless communication system able of learning from the
environment. It allows reusing of the radio resources available by users called Secondary …
environment. It allows reusing of the radio resources available by users called Secondary …
Machine-learning-based spectrum sensing enhancement for software-defined radio applications
S AGHABEIKI, C HALLET… - 2021 IEEE cognitive …, 2021 - ieeexplore.ieee.org
The Software-defined radio (SDR) technology is considered as a promising solution to
address the issue of spectrum scarcity by providing a high level of flexibility and …
address the issue of spectrum scarcity by providing a high level of flexibility and …
Long short-term memory based spectrum sensing scheme for cognitive radio
The application of machine learning models to spectrum sensing in cognitive radio is not
uncommon in literature, but most of these models fail to consider temporal dependencies in …
uncommon in literature, but most of these models fail to consider temporal dependencies in …
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 …
Machine learning techniques for cooperative spectrum sensing in cognitive radio networks
KM Thilina, KW Choi, N Saquib… - IEEE Journal on …, 2013 - ieeexplore.ieee.org
We propose novel cooperative spectrum sensing (CSS) algorithms for cognitive radio (CR)
networks based on machine learning techniques which are used for pattern classification. In …
networks based on machine learning techniques which are used for pattern classification. In …
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 …
[图书][B] Cooperative spectrum sensing and resource allocation strategies in cognitive radio networks
Cognitive radio networks (CRN) will be widely deployed in the near future, and this
SpringerBrief covers some important aspects of it, as well as highlighting optimization …
SpringerBrief covers some important aspects of it, as well as highlighting optimization …