Cybertwin-driven resource allocation using deep reinforcement learning in 6G-enabled edge environment

The recent emergence of sixth-generation (6G) enabled wireless communication technology has resulted in the rapid proliferation of a wide range of real-time applications. These applications are highly data-computation intensive and generate huge data traffic. Cybertwin-driven edge computing emerges...

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Bibliografski detalji

Glavni autori:	Vibha Jain, Bijendra Kumar, Aditya Gupta
Format:	Artigo
Jezik:	Inglês
Izdano:	Springer 2022-09-01
Serija:	Journal of King Saud University: Computer and Information Sciences
Teme:	Cybertwin 6G Resource allocation Computation offloading Deep reinforcement learning
Online pristup:	http://www.sciencedirect.com/science/article/pii/S1319157822000386
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