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This research paper investigates the application of One-to-One Based Optimization (OOBO) for power allocation in Non-Orthogonal Multiple Access (NOMA) systems to enhance energy efficiency in 5G networks. NOMA has emerged as a promising multiple access technique for 5G due to its ability to improve spectral efficiency. However, optimal power allocation remains a challenge, particularly in terms of energy efficiency. This study proposes an OOBO-based approach to address this issue, demonstrating significant improvements in energy efficiency while maintaining system performance. Simulation results show that the proposed method outperforms conventional power allocation techniques, achieving important improvement in energy efficiency under various network conditions.

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Energy-Efficient Power Allocation in 5G NOMA Systems Using One-to-One Based Optimization: Adaptive Solutions for Dynamic Traffic Scenarios

  • 会议论文

  • 发表日期：

    2026年

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  • Yacine Messai,
  • Fouzia Maamri,
  • Hanane Djellab,
  • Abdelhakim Sahour,
  • Farouk Boumehrez,
  • Hiba Ines Bitat

摘要

This research paper investigates the application of One-to-One Based Optimization (OOBO) for power allocation in Non-Orthogonal Multiple Access (NOMA) systems to enhance energy efficiency in 5G networks. NOMA has emerged as a promising multiple access technique for 5G due to its ability to improve spectral efficiency. However, optimal power allocation remains a challenge, particularly in terms of energy efficiency. This study proposes an OOBO-based approach to address this issue, demonstrating significant improvements in energy efficiency while maintaining system performance. Simulation results show that the proposed method outperforms conventional power allocation techniques, achieving important improvement in energy efficiency under various network conditions.