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Multiple Antenna Aided NOMA in UAV Networks: A Stochastic Geometry Approach

机译:无人机网络中的多天线辅助NOMA:随机几何方法

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This paper investigates the multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) assisted unmanned aerial vehicles (UAVs) networks. By utilizing a stochastic geometry model, a new 3-D UAV framework for providing wireless service to randomly roaming NOMA users has been proposed. In an effort to evaluate the performance of the proposed framework, we derive analytical expressions for the outage probability and the ergodic rate of MIMO-NOMA enhanced UAV networks. We examine tractable upper bounds for the whole proposed framework, with deriving asymptotic results for scenarios that transmit power of interference sources being proportional or being fixed to the UAV. For obtaining more insights for the proposed framework, we investigate the diversity order and high signal-to-noise slope of MIMO-NOMA assisted UAV networks. Our results confirm that: 1) Outage probability of NOMA enhanced UAV networks is affected to a large extent by the targeted transmission rates and power allocation factors of NOMA users and 2) For the case that the interference power is proportional to the UAV power, there are error floors for the outage probabilities.
机译:本文研究了多输入多输出(MIMO)非正交多址(NOMA)辅助无人飞行器(UAV)网络。通过利用随机几何模型,已经提出了一种新的3-D UAV框架,用于向随机漫游的NOMA用户提供无线服务。为了评估所提出框架的性能,我们导出了MIMO-NOMA增强型无人机网络的中断概率和遍历率的解析表达式。我们研究了整个提议框架的易处理的上限,并针对传输干扰源功率成比例或固定于无人机的场景得出了渐近结果。为了获得对所提出框架的更多见解,我们研究了MIMO-NOMA辅助无人机网络的分集阶数和高信噪比。我们的结果证实:1)NOMA增强型无人机网络的断电概率在很大程度上受到NOMA用户的目标传输速率和功率分配因子的影响; 2)对于干扰功率与UAV功率成比例的情况,存在是中断概率的错误下限。

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