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<p>The paper explores the integration of nonorthogonal multiple access (NOMA), full-duplex (FD) transmission, energy harvesting (EH) and intelligent reflective surface (IRS), creating IRS-enabled FD EH NOMA (IFEnoma), for improved spectral and energy efficiencies in wireless communication systems. Notwithstanding, realistic imperfections like fading severeness, hardware impairment (HWi), and channel state information imperfection (CSIi) are identified as challenges that directly influence communication reliability and harvested energy. Accordingly, the paper analyzes the impact of imperfections on three crucial metrics (energy efficiency, outage probability, total throughput). Illustrative results expose that fading severeness, CSIi, EH, HWi, NOMA, FD, and the number of reflective elements significantly affect the analyzed metrics. Moreover, proper adoption of target spectral efficiency, HWi level, and power splitting factor in IFEnoma prevents total outage. Additionally, optimal system parameters lead to achieving optimum metrics in IFEnoma. Further, the proposed IFEnoma outperforms two benchmark systems, namely IRS-enabled FD EH orthogonal multiple access and IRS-enabled HD EH NOMA, highlighting the advantages of combining NOMA and FD over using either technology alone.</p>

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Performance analysis for IRS-enabled full-duplex energy harvesting NOMA under practical imperfections

  • 期刊论文

  • 发表日期：

    2025年2月25日

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  • Toi Le-Thanh,
  • Khuong Ho-Van,
  • Thiem Do-Dac

摘要

The paper explores the integration of nonorthogonal multiple access (NOMA), full-duplex (FD) transmission, energy harvesting (EH) and intelligent reflective surface (IRS), creating IRS-enabled FD EH NOMA (IFEnoma), for improved spectral and energy efficiencies in wireless communication systems. Notwithstanding, realistic imperfections like fading severeness, hardware impairment (HWi), and channel state information imperfection (CSIi) are identified as challenges that directly influence communication reliability and harvested energy. Accordingly, the paper analyzes the impact of imperfections on three crucial metrics (energy efficiency, outage probability, total throughput). Illustrative results expose that fading severeness, CSIi, EH, HWi, NOMA, FD, and the number of reflective elements significantly affect the analyzed metrics. Moreover, proper adoption of target spectral efficiency, HWi level, and power splitting factor in IFEnoma prevents total outage. Additionally, optimal system parameters lead to achieving optimum metrics in IFEnoma. Further, the proposed IFEnoma outperforms two benchmark systems, namely IRS-enabled FD EH orthogonal multiple access and IRS-enabled HD EH NOMA, highlighting the advantages of combining NOMA and FD over using either technology alone.