Optimizing low-power, anti-interference routing with IRS through spatiotemporal reinforcement and federated learning
Abstract This paper introduces the SAC-IRS algorithm, a novel approach that combines Intelligent Reflecting Surfaces (IRS) and Reinforcement Learning (RL) to optimize network performance, specifically targeting packet delivery rate and energy efficiency. The proposed algorithm dynamically adjusts IR...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
|
| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-07552-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|