Learning-Augmented Online Minimization of Age of Information and Transmission Costs

We consider a discrete-time system where a resource-constrained source (e.g., a small sensor) transmits its time-sensitive data to a destination over a time-varying wireless channel. Each transmission incurs a fixed transmission cost (e.g., energy cost), and no transmission results in a staleness co...

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Vydané v:	IEEE transactions on network science and engineering Ročník 12; číslo 5; s. 3480 - 3496
Hlavní autori:	Liu, Zhongdong, Zhang, Keyuan, Li, Bin, Sun, Yin, Hou, Y. Thomas, Ji, Bo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.09.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Age-of-information Algorithms Approximation algorithms Consistency Costs Data integrity Discrete time systems Energy costs Internet of Things learning-augmented algorithm Machine learning Machine learning algorithms online algorithm Optimization Prediction algorithms Prediction models Robustness Staling transmission cost Uncertainty Wireless sensor networks
ISSN:	2327-4697, 2334-329X
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