A Deep Contextual Bandit-Based End-to-End Slice Provisioning Approach for Efficient Allocation of 5G Network Resources

A Deep Contextual Bandit-Based End-to-End Slice Provisioning Approach for Efficient Allocation of 5G Network Resources

5G networks have been experiencing challenges in handling the heterogeneity and influx of user requests brought upon by the constant emergence of various services. As such, network slicing is considered one of the critical technologies for improving the performance of 5G networks. This technology ha...

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Bibliographic Details
Main Authors: Ralph Voltaire J. Dayot, In-Ho Ra, Hyung-Jin Kim
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Network
Subjects:
5G
network slicing
network theory
deep reinforcement learning
contextual bandits
Online Access:https://www.mdpi.com/2673-8732/2/3/23

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