Game theoretic model for power optimization in next-generation heterogeneous network-Reference-Cited by-同舟云学术

Game theoretic model for power optimization in next-generation heterogeneous network

Published:2023-05-05 Issue:7 Volume:17 Page:3721-3729
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Rajee S. Amalorpava Mary^ORCID,Merline A.,Devi M. M. Yamuna

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s11760-023-02599-8.pdf

Reference16 articles.

1. Yamuna Devi, M.M., et al.: Reconfigurable intelligent surface aided indoor and outdoor user distribution in heterogeneous network. Int. J. Comput. Netw. Inform. Secur. 14(4), 89–97 (2022). https://doi.org/10.5815/ijcnis.2022.04.07

2. Jiang, Y., Lu, N., et al.: Energy Efficient Non-Cooperative Power Control in Small Cell Networks. IEEE Trans. Vehicular Technol. 66, 0018–9545 (2016)

3. Dai, H., Zhang, H., Wu, W., et al.: A game-theoretic learning approach to QoE-driven resource allocation scheme in 5G-enabled IoT. J Wireless Com. Netw. 2019, 55 (2019). https://doi.org/10.1186/s13638-019-1359-7

4. F. Irrum, M. Ali, M. Naeem, A. Anpalagan, S. Qaisar, and F. Qamar, “D2D-enabled resource management in secrecy-ensured 5G and beyond heterogeneous networks,” Phys. Commun., vol. 45, Apr. 2021, Art. no. 101275. https://www.sciencedirect.com/science/

5. J. Antoniou, “Game theory and networking,” in Game theory, the internet of things and 5G Networks (EAI Springer Innovations in communications and computing), Cham, Switzerland, 2020.

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