Pezzutto, Matthias and Tramarin, Federico and Dey, Subhrakanti and Schenato, Luca (2020) Adaptive transmission rate for LQG control over Wi-Fi: A cross-layer approach. Automatica, 119. p. 109092. ISSN 00051098

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Abstract

This work studies the problem of LQG control when the link between the sensor and the controller relies on a Wi-Fi network. Unfortunately, the communication on a wireless medium is sensitive to noise in the transmission band, which is characterized by the Signal-to-Noise Ratio (SNR). Wi-Fi allows to switch among different bit-rates in real-time thus permitting to trade-off lower loss probabilities for larger latency or vice-versa to achieve better closed-loop performance. To exploit this feature, under a constant SNR scenario, we propose a cross-layer approach where the bit-rate is optimally selected based on a control performance metric (i.e. minimum LQG cost) and a model-based controller is used to compensate for the packet losses. Under time-varying SNR, we additionally propose a (sub-optimal) on-line rate adaptation strategy and we guarantee the closed-loop stability under some mild conditions. Numerical comparisons with emulation-based approaches using TrueTime, a realistic Matlab-based Wi-Fi simulator, are included to show the benefits of the adaptive approach under time-varying SNR scenarios.

Item Type:	Article
Keywords:	Wi-Fi; Rate selection; LQG; Control over wireless; Packet loss;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	16355
Identification Number:	https://doi.org/10.1016/j.automatica.2020.109092
Depositing User:	Subhrakanti Dey
Date Deposited:	27 Jul 2022 07:55
Journal or Publication Title:	Automatica
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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