Reinforcement learning based distributed resource allocation technique in device-to-device (D2D) communication
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/s11276-023-03230-x.pdf
Reference36 articles.
1. Dogra, A., Jha, R. K., & Jain, S. (2021). A survey on beyond 5G network with the advent of 6G: Architecture and emerging technologies. IEEE Access, 9, 67512–67547. https://doi.org/10.1109/ACCESS.2020.3031234
2. Xu, Y., Gui, G., Gacanin, H., & Adachi, F. (2021). A survey on resource allocation for 5G heterogeneous networks: current research, future trends, and challenges. IEEE Communications Surveys and Tutorials, 23(2), 668–695. https://doi.org/10.1109/COMST.2021.3059896
3. Pedhadiya, M. K., Jha, R. K., & Bhatt, H. G. (2019). Device to device communication: A survey. Journal of Network and Computer Applications. https://doi.org/10.1016/j.jnca.2018.10.012
4. Chakraborty, C., & Rodrigues, J. J. C. P. (2020). A comprehensive review on device-to-device communication paradigm: trends, challenges and applications. Wireless Personal Communications. https://doi.org/10.1007/s11277-020-07358-3
5. Y. Wang, W. Ning, S. Zhang, H. Yu, H. Cen, and S. Wang, “Architecture and key terminal technologies of 5G-based internet of vehicles,” Computers and Electrical Engineering, vol. 95, Oct. 2021, https://doi.org/10.1016/j.compeleceng.2021.107430.
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