Laser & Optoelectronics Progress, Volume. 59, Issue 11, 1106003(2022)

Low Complexity Precoding Matrix Design for Visible Light Communication Systems

Qian Deng1, Jian Dang1,2、*, Zaichen Zhang1,2, and Liang Wu1,2
Author Affiliations
  • 1National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing 210096, Jiangsu , China
  • 2Purple Mountain Laboratory, Nanjing 211111, Jiangsu , China
  • show less

    In visible light communication (VLC) systems, the amplitude of the modulated transmit signal must be nonnegative to drive light-emitting diodes to illuminate, resulting in a very different achievable rate formula of VLC system compared to that of a traditional radio frequency system. Therefore, the traditional precoding matrix design method for maximizing the achievable rate is no longer applicable. In terms of the issue, this study proposes a precoding matrix design method for multiple input multiple output VLC systems. First, it is based on the strict Karush-Kuhn-Tucker conditions to achieve the eigen-channel power allocation expression. Then, the water-filling algorithm ensures that the subchannels with better performance are allocated higher power. The method can achieve the optimal achievable rate with low complexity characteristics by constraining the order of eigen-channel power values. The simulation results show that the achievable rate index of the method is significantly improved, compared with the existing precoding matrix design methods.

    Tools

    Get Citation

    Copy Citation Text

    Qian Deng, Jian Dang, Zaichen Zhang, Liang Wu. Low Complexity Precoding Matrix Design for Visible Light Communication Systems[J]. Laser & Optoelectronics Progress, 2022, 59(11): 1106003

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jul. 2, 2021

    Accepted: Jul. 14, 2021

    Published Online: Jun. 9, 2022

    The Author Email: Dang Jian (dangjian@seu.edu.cn)

    DOI:10.3788/LOP202259.1106003

    Topics