Real-time Tracking System with Partially Coupled Sources

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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date

2025

Department

Department of Information and Communications Engineering

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Language

en

Pages

5

Series

IEEE Communications Letters, Volume 29, issue 9, pp. 2158-2162

Abstract

We consider a pull-based real-time tracking system consisting of multiple partially coupled sources and a sink. The sink monitors the sources in real-time and can request an update from one source at each time instant. The sources send updates over an unreliable wireless channel. The sources are partially coupled, and updates about one source can provide partial knowledge about other sources. We study the problem of minimizing the sum of an average distortion function and a transmission cost. Since the controller is at the sink side, the controller (sink) has only partial knowledge about the source states, and thus, we model the problem as a partially observable Markov decision process (POMDP) and then cast it as a belief-MDP problem. Using the relative value iteration algorithm, we solve the problem and propose a control policy. Simulation results demonstrate the effectiveness and superiority of the proposed policy compared to two baseline policies.

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Publisher Copyright: © 1997-2012 IEEE.

Keywords

coupled sources, partially observable Markov decision process, pull-based system, Real-time tracking

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DOI

10.1109/LCOMM.2025.3588270

Citation

Vilni, S S & Wichman, R 2025, 'Real-time Tracking System with Partially Coupled Sources', IEEE Communications Letters, vol. 29, no. 9, pp. 2158-2162. https://doi.org/10.1109/LCOMM.2025.3588270

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https://urn.fi/URN:NBN:fi:aalto-202510087657

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