Optical wireless communication based mobile edge computing integrated channel allocation using scheduling with machine learning protocols in advanced 5G networks-Reference-Cited by-同舟云学术

Optical wireless communication based mobile edge computing integrated channel allocation using scheduling with machine learning protocols in advanced 5G networks

Published:2023-12-13 Issue:1 Volume:56 Page:
ISSN:0306-8919
Container-title:Optical and Quantum Electronics
language:en
Short-container-title:Opt Quant Electron

Author:

Vishnoi Rahul,Pradeepa P.,Kumar Deepak,Das Ganana Jeba,Lodha Lokesh,Awasthi Aishwary

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

https://link.springer.com/content/pdf/10.1007/s11082-023-05627-6.pdf

Reference23 articles.

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4. Chen, X., Dai, W., Ni, W., Wang, X., Zhang, S., Xu, S., Sun, Y.: Augmented deep reinforcement learning for online energy minimization of wireless powered mobile edge computing. IEEE Trans. Commun. 71, 2698–2710 (2023)

5. Das, S., Slyne, F., Ruffini, M.: Optimal slicing of virtualized passive optical networks to support dense deployment of cloud-RAN and multi-access edge computing. IEEE Netw. 36(2), 131–138 (2022)