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

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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Bibliographic Details
Main Authors: Vibha Jain, Bijendra Kumar, Aditya Gupta
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Cybertwin
6G
Resource allocation
Computation offloading
Deep reinforcement learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157822000386

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http://www.sciencedirect.com/science/article/pii/S1319157822000386

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