Timely Remote Estimation with Memory at the Receiver
Abstract
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.
Cite
@article{arxiv.2501.02099,
title = {Timely Remote Estimation with Memory at the Receiver},
author = {Sirin Chakraborty and Yin Sun},
journal= {arXiv preprint arXiv:2501.02099},
year = {2025}
}
Comments
5 pages, 3 figures, to be published in the Proceedings of the 2024 Asilomar Conference on Signals, Systems, and Computers, October 27-30, 2023, Pacific Grove, California, USA