Author:
Ahadipour Alireza,Keshavarz-Haddad Alireza
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Reference40 articles.
1. Liu, D., Wang, L., Chen, Y., Elkashlan, M., Wong, K.-K., Schober, R., & Hanzo, L. (2016). User association in 5g networks: A survey and an outlook. IEEE Communications Surveys & Tutorials, 18(2), 1018–1044.
2. Wang, M., Chen, J., Aryafar, E., & Chiang, M. (2016). A survey of client-controlled hetnets for 5g. IEEE Access, 5, 2842–2854.
3. Lee, Y. L., & Qin, D. (2019). A survey on applications of deep reinforcement learning in resource management for 5g heterogeneous networks. In Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (pp. 1856–1862).
4. Gures, E., Shayea, I., Ergen, M., Azmi, M. H., & El-Saleh, A. A. (2022). Machine learning-based load balancing algorithms in future heterogeneous networks: A survey. IEEE Access, 10, 37 689-37 717.
5. Farouk, M. M., Pang, W. L., Chung, G. C., & Roslee, M. (2023). Critical review on machine learning in 5g mobile networks. International Journal of Intelligent Systems and Applications in Engineering, 11(8s), 362–367.
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