Energy and spectrum efficiency in predictive-cooperative cognitive radio networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11276-021-02786-w.pdf
Reference24 articles.
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2. Wu, H., Yao, F., Chen, Y., Liu, Y., & Liang, T. (2017). Cluster-based energy efficient collaborative spectrum sensing for cognitive sensor network. IEEE Communications Letters, 21(12), 2722–2725.
3. Liu, X., Zheng, K., Chi, K., & Zhu, Y.-H. (2020). Cooperative spectrum sensing optimization in energy-harvesting cognitive radio networks. IEEE Transactions on Wireless Communications, 19(11), 7663–7676.
4. Thakur, P., Kumar, A., Pandit, S., Singh, G., & Satashia, S. N. (2018). Performance analysis of high-traffic cognitive radio communication system using hybrid spectrum access, prediction and monitoring techniques. Wireless Networks, 24(6), 2005–2015.
5. Zhang, Y., Hou, J., Towhidlou, V., & Shikh-Bahaei, M. R. (2019). A neural network prediction-based adaptive mode selection scheme in full-duplex cognitive networks. IEEE Transactions on Cognitive Communications and Networking, 5(3), 540–553.
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