Dual time scale network slice resource allocation method based on limited memory and probability learning

Dual time scale network slice resource allocation method based on limited memory and probability learning

Network slicing is crucial for enabling networks to meet the diverse service demands of various verticals. To address the issue of dynamic changes in slice types, a Federated Multi-Agent Reinforcement Learning (F-MALML) algorithm with dualtime scale resource allocation is proposed. At the large time...

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Bibliographic Details
Main Authors: Shao Feng, Sun Jun
Format: Article
Language:zho
Published: National Computer System Engineering Research Institute of China 2025-03-01
Series:Dianzi Jishu Yingyong
Subjects:
network slicing
resource allocation
dual time scale
deep reinforcement learning
slicing satisfaction
Online Access:http://www.chinaaet.com/article/3000170766
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