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      • Department of Electrical and Electronics Engineering
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      Optimal and robust power allocation for visible light positioning systems under illumination constraints

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      Author(s)
      Keskin, Musa Furkan
      Sezer, Ahmet Dündar
      Gezici, Sinan
      Date
      2019-01
      Source Title
      IEEE Transactions on Communications
      Print ISSN
      0090-6778
      Publisher
      IEEE
      Volume
      67
      Issue
      1
      Pages
      527 - 542
      Language
      English
      Type
      Article
      Item Usage Stats
      132
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      161
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      Abstract
      The problem of optimal power allocation among light emitting diode (LED) transmitters in a visible light positioning system is considered for the purpose of improving localization performance of visible light communication (VLC) receivers. Specifically, the aim is to minimize the Cramér-Rao lower bound (CRLB) on the localization error of a VLC receiver by optimizing LED transmission powers in the presence of practical constraints, such as individual and total power limitations and illuminance constraints. The formulated optimization problem is shown to be convex and thus can efficiently be solved via standard tools. We also investigate the case of imperfect knowledge of localization parameters and develop robust power allocation algorithms by taking into account both overall system uncertainty and individual parameter uncertainties related to the location and orientation of the VLC receiver. In addition, we address the total power minimization problem under predefined accuracy requirements to obtain the most energy-efficient power allocation vector for a given CRLB level. Numerical results illustrate the improvements in localization performance achieved by employing the proposed optimal and robust power allocation strategies over the conventional uniform and non-robust approaches.
      Keywords
      Visible light positioning
      Power allocation
      Robust design
      Convex optimization
      Semidefinite programming
      Iterative entropic regularization
      Permalink
      http://hdl.handle.net/11693/53032
      Published Version (Please cite this version)
      https://doi.org/10.1109/TCOMM.2018.2866849
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      • Department of Electrical and Electronics Engineering 4011
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