MURAL - Maynooth University Research Archive Library

    SNR-triggered Communication Rate for LQG Control over Wi-Fi

    Pezzutto, M. and Tramarin, F. and Dey, Subhrakanti and Schenato, Luca (2019) SNR-triggered Communication Rate for LQG Control over Wi-Fi. In: 2018 IEEE Conference on Decision and Control (CDC). IEEE. ISBN 9781538613962

    Download (799kB) | Preview

    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...

    Add this article to your Mendeley library


    In this work we address the problem of LQG control where the communication between the sensor and the controller/actuator is performed via Wi-Fi, We exploit one feature of Wi-Fi (standard IEEE 802.11) which gives the ability to switch among different data-rates in real-time: a lower transmission rate provides a lower packet loss probability at a price of a larger sampling period. As a matter of fact, it is not obvious how to select the optimal rate from a control perspective. Nevertheless, the packet error probability as a function of the perceived SNR can be obtained either analytically or empirically. Based on these curves, we determine the optimal rate and the optimal LQG controller for any fixed SNR. In a scenario with a time-varying SNR, we also propose a rate adaptation strategy which is triggered by the measured SNR. Numerical simulations and comparisons with current literature are included to show the benefits of our approach.

    Item Type: Book Section
    Additional Information: Cite as: M. Pezzutto, F. Tramarin, S. Dey and L. Schenato, "SNR-triggered Communication Rate for LQG Control over Wi-Fi," 2018 IEEE Conference on Decision and Control (CDC), 2018, pp. 1725-1730, doi: 10.1109/CDC.2018.8618999.
    Keywords: Packet loss; LQG; Wi-Fi; Rate Adaptation;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Faculty of Science and Engineering > Electronic Engineering
    Item ID: 14387
    Identification Number:
    Depositing User: Subhrakanti Dey
    Date Deposited: 27 Apr 2021 15:28
    Publisher: IEEE
    Refereed: Yes
    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

    Repository Staff Only(login required)

    View Item Item control page


    Downloads per month over past year

    Origin of downloads