Optimization of Resource Allocation in Cognitive Radio Network Using Machine Learning Algorithm
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7663-6_17
Reference21 articles.
1. Yu, H., Zikria, Y.B.: Cognitive radio networks for internet of things and wireless sensor networks. Sens. 20(18), 5288 (2020)
2. Xu, D., Yu, X., Schober, R.: Resource allocation for intelligent reflecting surface-assisted cognitive radio networks. In: 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 1–5. IEEE, (2020)
3. Eze, J., Zhang, S., Liu, E., Eze, E.: Design optimization of resource allocation in OFDMA-based cognitive radio-enabled Internet of Vehicles (IoVs). Sens. 20(21), 6402 (2020)
4. Li, X., Xu, L.D.: A review of Internet of Things—resource allocation. IEEE Internet Things J. (2020)
5. Pham, Q.-V., Mirjalili, S., Kumar, N., Alazab, M., Hwang, W.-J.: Whale optimization algorithm with applications to resource allocation in wireless networks. IEEE Trans. Veh. Technol. 69(4), 4285–4297 (2020)
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