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This paper proposes a novel power allocation grouping scheme for multi-user Visible Light Communication (VLC) Non-Orthogonal Multiple Access (NOMA) systems to overcome the limited modulation bandwidth of commercial white LEDs. Specifically, users are partitioned into groups of four based on the proposed Minimizing Channel Gain Average Difference (MCGAD) algorithm, which pairs two high-gain and two low-gain users. Within each group, we employ an asymmetrically clipped and DC-biased optical OFDM (ADO-OFDM) NOMA approach on two sub-pairs, and introduce an optimal power allocation algorithm to determine both inter-pair and intra-pair power ratios. Simulation results demonstrate that our power allocation grouping strategy significantly enhances system performance, achieving higher spectral efficiency and energy efficiency compared to conventional methods. This work lays the foundation for scalable, high-throughput, and energy-efficient VLC networks in multi-user scenarios.

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Novel Power Allocation Grouping Scheme for Multi-user VLC NOMA Systems

  • 会议论文

  • 发表日期：

    2026年

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  • Yang Tu,
  • Chuan Li,
  • Runyu Liu,
  • Tianci Jiang,
  • Jiancheng Chi

摘要

This paper proposes a novel power allocation grouping scheme for multi-user Visible Light Communication (VLC) Non-Orthogonal Multiple Access (NOMA) systems to overcome the limited modulation bandwidth of commercial white LEDs. Specifically, users are partitioned into groups of four based on the proposed Minimizing Channel Gain Average Difference (MCGAD) algorithm, which pairs two high-gain and two low-gain users. Within each group, we employ an asymmetrically clipped and DC-biased optical OFDM (ADO-OFDM) NOMA approach on two sub-pairs, and introduce an optimal power allocation algorithm to determine both inter-pair and intra-pair power ratios. Simulation results demonstrate that our power allocation grouping strategy significantly enhances system performance, achieving higher spectral efficiency and energy efficiency compared to conventional methods. This work lays the foundation for scalable, high-throughput, and energy-efficient VLC networks in multi-user scenarios.