Deep Reinforcement Learning for Resource Management on Network Slicing: A Survey

Deep Reinforcement Learning for Resource Management on Network Slicing: A Survey

Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving 5G and 6G networks. A 5G/6G network can comprise various network slices from unique or multiple tenants. Network providers need to perform intelligent and efficient resource management to offer slices that meet th...

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Bibliographic Details
Main Authors: Johanna Andrea Hurtado Sánchez, Katherine Casilimas, Oscar Mauricio Caicedo Rendon
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
admission control
resource allocation
resource scheduling
resource orchestration
network slicing
deep reinforcement learning
Online Access:https://www.mdpi.com/1424-8220/22/8/3031

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https://www.mdpi.com/1424-8220/22/8/3031

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