Hierarchical Reinforcement Learning Based Resource Allocation for RAN Slicing
As the complexity of wireless mobile networks increases significantly, artificial intelligence (AI) and machine learning (ML) have become key enablers for radio resource management and orchestration. In this paper, we propose a multi-agent reinforcement learning (RL) method for allocating radio reso...
Main Authors: | , , , |
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Format: | Article |
Jezik: | English |
Izdano: |
IEEE
2024-01-01
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Serija: | IEEE Access |
Teme: | |
Online dostop: | https://ieeexplore.ieee.org/document/10540392/ |