Abstract
To meet the spectrum resource, the spectrum sensing technology in the Cognitive Radio (CR) is developed rapidly. The multitude of diverse challenges are posed by most existing spectrum sensing methods, due to the demand of the prior knowledge of signal and the high computational complexity. A spectrum sensing method based on Attention-Based CNN is proposed in this paper. The spectrum sensing is treated as a binary classification problem. The derived models are validated by extensive experiments with respective results from computer simulations. It is demonstrated that the proposed method can achieve high recognition accuracy and recognition speed under the condition of low Signal to Noise Ratio (SNR).
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Acknowledgements
This work was supported in part by the Natural Science Foundation of China under Grants No. 61871133 and in part by the Industry-Academia Collaboration Program of Fujian Universities under Grants No. 2020H6 006.
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Zhang, M., Lin, R., Wang, J., Lin, J., Xie, H. (2022). A Novel Spectrum Sensing Method Based on Attention-Based CNN in Cognitive Radio. In: Jia, Y., Zhang, W., Fu, Y., Yu, Z., Zheng, S. (eds) Proceedings of 2021 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 803. Springer, Singapore. https://doi.org/10.1007/978-981-16-6328-4_65
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DOI: https://doi.org/10.1007/978-981-16-6328-4_65
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