Enhancing Power Allocation in DAS: A Hybrid Machine Learning and Reinforcement Learning Model
This paper presents a novel hybrid approach to optimize downlink power allocation in a Distributed Antenna System (DAS) with many Remote Access Units (RAUs) and User Equipment (UEs) randomly distributed in a single cell. The proposed method combines Machine Learning (ML) for predictive modeling with...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10926833/ |
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