Deep Reinforcement Learning-Based Network Slicing for Beyond 5G

Deep Reinforcement Learning-Based Network Slicing for Beyond 5G

With the advent of 5G era, network slicing has received a great deal of attention as a means to support a variety of wireless services in a flexible manner. Network slicing is a technique to divide a single physical resource network into multiple slices supporting independent services. In beyond 5G...

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Bibliographic Details
Main Authors: Kyungjoo Suh, Sunwoo Kim, Yongjun Ahn, Seungnyun Kim, Hyungyu Ju, Byonghyo Shim
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Network slicing
resource allocation
deep reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/9676621/

Internet

https://ieeexplore.ieee.org/document/9676621/

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