Timely Remote Estimation with Memory at the Receiver

TL;DR

This paper investigates a remote estimation system with a receiver buffer to improve estimation accuracy over wireless channels, especially for non-Markovian sources, by optimizing transmission scheduling based on age of information.

Contribution

It introduces a novel approach to optimize transmission scheduling in remote estimation systems with receiver buffers, enhancing performance for complex source models.

Findings

Buffering improves estimation accuracy for non-Markovian sources.

Optimized scheduling reduces estimation error compared to non-buffered systems.

Buffer-based methods outperform traditional approaches in certain wireless estimation scenarios.

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.