The problem of minimizing total power consumption in light-emitting diode transmitters is investigated for achieving power efficient localization in a visible light communication and positioning system. A robust power allocation approach based on stochastic uncertainties is proposed for total power minimization in the presence of localization accuracy, power, and illumination constraints. Specifically, the power consumption minimization problem is formulated under a chance constraint on the probability of Cramér–Rao lower bound exceeding a tolerable limit, which is a computationally intractable constraint. The sphere bounding method is used to propose a safe convex approximation to this intractable constraint, which makes the resulting problem suitable for standard convex optimization tools. Numerical results demonstrate the advantages of the proposed robust solution over the nonrobust solution and uniform power allocation in the presence of stochastic uncertainty.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Power-Efficient Positioning for Visible Light Systems via Chance Constrained Optimization


    Beteiligte:
    Yazar, Onurcan (Autor:in) / Keskin, Musa Furkan (Autor:in) / Gezici, Sinan (Autor:in)


    Erscheinungsdatum :

    2020-10-01


    Format / Umfang :

    359152 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Joint Chance-Constrained Dynamic Programming

    Ono, Masahiro / Kuwata, Yoshiaki / Balaram, J. (Bob) | NTRS | 2012


    Sample bound estimate based chance-constrained immune optimization and its applications

    Zhang, Z. H. / Yang, K. / Zhang, D. M. | British Library Online Contents | 2016


    Chance-Constrained Flight Level Assignment Problem

    Wang, Chenghao / Fundo, Akli / Leger, Jean-Benoist et al. | IEEE | 2023