MIMO Amplify-and-Forward Precoding for Networked Control Systems
Fan Zhang, Vincent K. N. Lau, Gong Zhang

TL;DR
This paper develops an optimal MIMO amplify-and-forward precoding strategy for networked control systems, minimizing estimation error with an event-driven approach and ensuring stability under power constraints.
Contribution
It introduces a novel continuous-time perturbation method to derive a closed-form, asymptotically optimal precoding solution with an event-driven control structure for MIMO NCS.
Findings
The proposed precoding scheme minimizes the average state estimation error.
The solution activates the strongest eigenchannel based on dynamic error thresholds.
Establishes conditions for system stability and shows error scales as 1/maximum AF gain.
Abstract
In this paper, we consider a MIMO networked control system (NCS) in which a sensor amplifies and forwards the observed MIMO plant state to a remote controller via a MIMO fading channel. We focus on the MIMO amplify-and-forward (AF) precoding design at the sensor to minimize a weighted average state estimation error at the remote controller subject to an average communication power gain constraint of the sensor. The MIMO AF precoding design is formulated as an infinite horizon average cost Markov decision process (MDP). To deal with the curse of dimensionality associated with the MDP, we propose a novel continuous-time perturbation approach and derive an asymptotically optimal closed-form priority function for the MDP. Based on this, we derive a closed-form first-order optimal dynamic MIMO AF precoding solution, and the solution has an event-driven control structure. Specifically, the…
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Taxonomy
TopicsStability and Control of Uncertain Systems · Age of Information Optimization · Distributed Sensor Networks and Detection Algorithms
