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In Unmanned Aerial Vehicle (UAV) Non-Orthogonal Multiple Access (NOMA) communication scenarios, ensuring Quality of Service (QoS) for communication links while minimizing transmit power under imperfect Successive Interference Cancellation (SIC) conditions is a complex challenge. This study formulates the system model as a non-convex optimization problem. By analyzing the feasible region of this model, we propose the NPM algorithm to optimize the UAV’s minimum transmit power and the power allocation scheme for users. Comparative experimental results with a fixed power allocation factor approach demonstrate the superior performance of the NPM algorithm. Furthermore, the impact of different Bit Error Rate (BER) values on user power allocation is examined, providing insights into the efficiency and robustness of the proposed method.

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NOMA-Based Minimum Transmit Power of Static UAV

  • 会议论文

  • 发表日期：

    2025年

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  • Yonghu Cao,
  • Quan Zhou,
  • Zhaotao Qin,
  • Yuqi Wang

摘要

In Unmanned Aerial Vehicle (UAV) Non-Orthogonal Multiple Access (NOMA) communication scenarios, ensuring Quality of Service (QoS) for communication links while minimizing transmit power under imperfect Successive Interference Cancellation (SIC) conditions is a complex challenge. This study formulates the system model as a non-convex optimization problem. By analyzing the feasible region of this model, we propose the NPM algorithm to optimize the UAV’s minimum transmit power and the power allocation scheme for users. Comparative experimental results with a fixed power allocation factor approach demonstrate the superior performance of the NPM algorithm. Furthermore, the impact of different Bit Error Rate (BER) values on user power allocation is examined, providing insights into the efficiency and robustness of the proposed method.