Optimizing low-power, anti-interference routing with IRS through spatiotemporal reinforcement and federated learning

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...

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Bibliographic Details
Main Authors: Chengfu Fan, Shoujiu Xiong, Fei Zhou
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Applied Sciences
Subjects:
Spatiotemporal reinforcement learning
Intelligent reflecting surface
Low-power routing protocol
Heterogeneous network topology
Cross-layer optimization
Online Access:https://doi.org/10.1007/s42452-025-07552-7
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https://doi.org/10.1007/s42452-025-07552-7

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