Deep Reinforcement Learning Based Resource Allocation for Network Slicing With Massive MIMO

Deep Reinforcement Learning Based Resource Allocation for Network Slicing With Massive MIMO

Network slicing is a critical technology for fifth-generation (5G) networks, owing to its merits in meeting the diversified requirements of users. Effective resource allocation for network slicing in Radio Access Networks (RAN) is still challenging owing to dynamic service requirements. Therein, aut...

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Bibliographic Details
Main Authors: Dandan Yan, Benjamin K. Ng, Wei Ke, Chan-Tong Lam
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Network slicing
resource allocation
radio access networks (RAN)
massive MIMO
advantage actor critic (A2C)
Online Access:https://ieeexplore.ieee.org/document/10186882/

Internet

https://ieeexplore.ieee.org/document/10186882/

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