Scholarlink

<p>In wireless communication systems, an unmanned aerial vehicle (UAV) is used as a non-orthogonal multiple access (NOMA) mobile base station to provide efficient connectivity services to ground users. We develop a UAV downlink system model that features automatic adjustment of the power distribution coefficients. To ensure secure communications against an intelligent eavesdropper that can adaptively switch between eavesdropping and interference modes based on channel conditions, a UAV jammer is deployed to reduce the intercept probability (IP) when the eavesdropper operates in passive eavesdropping mode. Considering the imperfect successive interference cancellation (SIC) technique, the exact closed-form results of outage probability (OP) and IP in the Nakagami-<i>m</i> fading environment are derived. Finally, the accuracy of the theoretical derivation is verified by Monte Carlo simulation. The numerical simulation results demonstrate that the transmit power, power allocation coefficients, line-of-sight (LoS) probability, and motion coefficient of the UAV significantly influence system performance, highlighting the importance of optimization.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Reliability and security analysis of NOMA-UAV communication network in intelligent eavesdropping environment

  • 期刊论文

  • 发表日期：

    2025年7月13日

查看全文
  • Wen Yang,
  • Enyu Li,
  • Yinuo Zhao,
  • Rongyu Wang

摘要

In wireless communication systems, an unmanned aerial vehicle (UAV) is used as a non-orthogonal multiple access (NOMA) mobile base station to provide efficient connectivity services to ground users. We develop a UAV downlink system model that features automatic adjustment of the power distribution coefficients. To ensure secure communications against an intelligent eavesdropper that can adaptively switch between eavesdropping and interference modes based on channel conditions, a UAV jammer is deployed to reduce the intercept probability (IP) when the eavesdropper operates in passive eavesdropping mode. Considering the imperfect successive interference cancellation (SIC) technique, the exact closed-form results of outage probability (OP) and IP in the Nakagami-m fading environment are derived. Finally, the accuracy of the theoretical derivation is verified by Monte Carlo simulation. The numerical simulation results demonstrate that the transmit power, power allocation coefficients, line-of-sight (LoS) probability, and motion coefficient of the UAV significantly influence system performance, highlighting the importance of optimization.