| 引用本文： |
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杨雯,李恩玉,王荣钰,等.智能窃听环境下NOMA-UAV通信网络的性能分析[J].电讯技术，2025，65（7）：1093 - 1101. [点击复制]
- YANG Wen,LI Enyu,WANG Rongyu,et al.Performance Analysis of NOMA-UAV Communication Network in Intelligent Eavesdropping Environment[J].，2025，65（7）：1093 - 1101. [点击复制]
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| 摘要: |
| 在无人机（Unmanned Aerial Vehicle,UAV）作为非正交多址接入（Non-orthogonal Multiple Access,NOMA）移动基站为地面用户提供高效连接服务的无线通信系统中，针对UAV位置的不固定性，建立了UAV功率分配系数自动调节的下行链路系统模型。该模型考虑了周边存在具有一定隐蔽性的智能窃听者，即该窃听者具备基于信道条件自适应地调整工作模式的能力。针对窃听者自动选择被动窃听模式的情况，为了降低窃听概率，设计了地面用户利用全双工（Full-duplex,FD）技术向窃听者发送干扰信号的策略。在考虑非理想串行干扰消除（Successive Interference Cancellation,SIC）技术条件下，推导了Nakagami-玬衰落环境下系统的中断概率和截获概率精确闭式结果，并给出了高信噪比（Signal-to-Noise Ratio,SNR）下的近似逼近结果。蒙特卡罗仿真验证了理论推导的准确性，且数值仿真结果表明，系统的性能在很大程度上受到UAV的视距概率、功率分配因子和运动轨迹的共同影响，进一步表明系统相关参数的优化效果对于提升系统性能具有关键作用。 |
| 关键词: 通信网络 非正交多址接入(NOMA) 无人机(UAV) 智能窃听者 串行干扰消除(SIC) |
| DOI：10.20079/j.issn.1001-893x.240313002 |
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| 基金项目:山东省自然科学基金（ZR2022MF273）；大学生创新创业训练计划项目（S202310429182，S202310429489） |
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| Performance Analysis of NOMA-UAV Communication Network in Intelligent Eavesdropping Environment |
| YANG Wen,LI Enyu,WANG Rongyu,DAI Afei,ZHANG Yue,WANG Haoming |
| (School of Information and Control Engineering,Qingdao University of Technology,Qingdao 266520,China) |
| Abstract: |
| Unmanned aerial vehicle(UAV) is utilized as a non-orthogonal multiple access(NOMA) mobile base station to provide efficient connectivity services for ground users in wireless communication systems.A downlink system model is established to automatically adjust the power allocation coefficients for the uncertainty of UAV position.In this model,there exists an intelligent eavesdropper with a certain degree of covertness,which adaptively adjusts its working mode according to channel conditions.To reduce the intercept probability when the eavesdropper automatically selects the passive eavesdropping mode,a strategy is designed for the ground user to send a jamming signal to the eavesdropper by utilizing the full-duplex(FD) technique.The exact closed-form expressions of the outage probability and intercept probability in the Nakagami-玬 fading environment are derived under the imperfect successive interference cancellation(SIC) technique,and the approximate results are given under the high signal-to-noise ratio(SNR).The accuracy of the theoretical derivation is verified by Monte Carlo simulation.Numerical simulation results show that the performance of the system is significantly influenced by the line of sight probability,the power allocation factor,and the motion trajectory of the UAV,which further emphasizes the optimization of the relevant parameters plays a key role in enhancing the performance of the system. |
| Key words: communication network non-orthogonal multiple access(NOMA) unmanned aerial vehicle(UAV) intelligent eavesdropper successive interference cancellation(SIC) |
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