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Auteurs principaux: Chakraborty, Sirin, Sun, Yin
Format: Preprint
Publié: 2025
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Accès en ligne:https://arxiv.org/abs/2501.02099
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author Chakraborty, Sirin
Sun, Yin
author_facet Chakraborty, Sirin
Sun, Yin
contents In this study, we consider a remote estimation system that estimates a time-varying target based on sensor data transmitted over wireless channel. Due to transmission errors, some data packets fail to reach the receiver. To mitigate this, the receiver uses a buffer to store recently received data packets, which allows for more accurate estimation from the incomplete received data. Our research focuses on optimizing the transmission scheduling policy to minimize the estimation error, which is quantified as a function of the age of information vector associated with the buffered packets. Our results show that maintaining a buffer at the receiver results in better estimation performance for non-Markovian sources.
format Preprint
id arxiv_https___arxiv_org_abs_2501_02099
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Timely Remote Estimation with Memory at the Receiver
Chakraborty, Sirin
Sun, Yin
Signal Processing
In this study, we consider a remote estimation system that estimates a time-varying target based on sensor data transmitted over wireless channel. Due to transmission errors, some data packets fail to reach the receiver. To mitigate this, the receiver uses a buffer to store recently received data packets, which allows for more accurate estimation from the incomplete received data. Our research focuses on optimizing the transmission scheduling policy to minimize the estimation error, which is quantified as a function of the age of information vector associated with the buffered packets. Our results show that maintaining a buffer at the receiver results in better estimation performance for non-Markovian sources.
title Timely Remote Estimation with Memory at the Receiver
topic Signal Processing
url https://arxiv.org/abs/2501.02099