Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels

TL;DR

This paper establishes the fundamental stability conditions for remote state estimation of multiple LTI systems over multiple Markov fading channels, providing a new analytical framework and policy construction.

Contribution

It introduces a novel policy and analytical framework to derive necessary-and-sufficient stability conditions for multi-sensor-multi-channel systems.

Findings

Derived necessary-and-sufficient stability conditions

Proposed a new sensor scheduling policy

Linked stability to system parameters and channel statistics

Abstract

We investigate the stability conditions for remote state estimation of multiple linear time-invariant (LTI) systems over multiple wireless time-varying communication channels. We answer the following open problem: what is the fundamental requirement on the multi-sensor-multi-channel system to guarantee the existence of a sensor scheduling policy that can stabilize the remote estimation system? We propose a novel policy construction and analytical framework and derive the necessary-and-sufficient stability condition in terms of the LTI system parameters and the channel statistics.