A Graph Convolution Network Based Adaptive Cooperative Spectrum Sensing in Cognitive Radio Network
Author:
Affiliation:
1. Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, India
2. Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/10043591/09918025.pdf?arnumber=9918025
Reference33 articles.
1. Long Short-Term Memory Based Spectrum Sensing Scheme for Cognitive Radio Using Primary Activity Statistics
2. Long Short-Term Memory based Spectrum Sensing Scheme for Cognitive Radio
3. Deep Learning-Based Spectrum Sensing in Cognitive Radio: A CNN-LSTM Approach
4. Spectrum Prediction Based on Taguchi Method in Deep Learning With Long Short-Term Memory
5. Unsupervised K-Means Clustering Algorithm
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1. Spatiotemporal Cooperative Spectrum Sensing of Random Arrival of Primary Signals for Cognitive UAV Communications;IEEE Sensors Journal;2024-06-15
2. Graph Neural Network Based Cooperative Spectrum Sensing for Cognitive Radio;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21
3. A Matrix-Factorization-Error-Ratio Approach to Cooperative Sensing in Non-Ideal Communication Environment;IEEE Transactions on Signal Processing;2024
4. A Review of Research on Spectrum Sensing Based on Deep Learning;Electronics;2023-11-02
5. Graph Learning for Multi-Satellite based Spectrum Sensing;2023 IEEE 23rd International Conference on Communication Technology (ICCT);2023-10-20
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