Inter-Cell Network Slicing With Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning

Inter-Cell Network Slicing With Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning

Network slicing enables operators to cost-efficiently support diverse applications on a common physical infrastructure. The ever-increasing densification of network deployment leads to complex and non-trivial inter-cell interference, which requires more than inaccurate analytic models to dynamically...

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Bibliographic Details
Main Authors: Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Transfer learning
deep reinforcement learning
multi-agent coordination
network slicing
resource allocation
Online Access:https://ieeexplore.ieee.org/document/10121811/

Internet

https://ieeexplore.ieee.org/document/10121811/

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