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Robust Precoding for Multi-User Visible Light Communications with Quantized Channel Information.

Olga Muñoz1, Antonio Pascual-Iserte1, Guillermo San Arranz1

  • 1Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain.

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This study introduces robust precoders for visible light communication (VLC) systems, minimizing optical power under channel quantization errors. The new method ensures reliable performance even with imperfect channel state information (CSI).

Keywords:
channel state informationconvex optimizationquantizationrobust precodingvisible light communications

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Area of Science:

  • Electrical Engineering
  • Optical Communications
  • Signal Processing

Background:

  • Visible Light Communication (VLC) systems utilize LEDs for data transmission.
  • Multi-User Multiple-Input Single-Output (MU-MISO) precoding enhances VLC system capacity.
  • Imperfect Channel State Information (CSI) poses challenges for robust precoder design.

Purpose of the Study:

  • To design robust MU-MISO precoders for indoor VLC systems.
  • To minimize transmitted optical power from each Light Emitting Diode (LED).
  • To address imperfect CSI due to channel quantization, a gap in existing literature.

Main Methods:

  • Modeling CSI quantization errors using polyhedric uncertainty regions.
  • Developing robust precoders for positive real channels, characteristic of VLC.
  • Formulating the problem as a Second Order Cone Programming (SOCP) problem.

Main Results:

  • The proposed robust precoder effectively minimizes optical power under CSI quantization.
  • The solution guarantees a target Signal to Noise plus Interference Ratio (SNIR) per user.
  • Performance is validated through numerical simulations across various quantization levels.

Conclusions:

  • The study presents a novel robust precoding technique for VLC systems facing channel quantization.
  • The SOCP-based approach provides an efficient method for designing power-efficient and reliable VLC systems.
  • This work contributes to advancing the robustness and performance of indoor VLC technologies.