协同无人机网络中的非正交多址:一个随机几何模型

Jingjing Li, Yuanwei Liu, Xingwang Li, Chao Shen, Yue Chen
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引用次数: 9

摘要

提出了三跳无人机辅助非正交多址(NOMA)网络的统一框架。为了表征所提出的框架的性能,利用随机几何,导出了随机部署的NOMA用户上/下行传输中断概率的封闭解析表达式。为了更深入地了解网络性能,对高信噪比(SNR)下的中断概率进行了渐近分析。这些结果表明,对于上行传输,由于远端用户的干扰存在误差层,而对于下行传输,远端用户的性能可以优于近端用户,这可以解释为远端用户具有更高的接收功率。
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Non-Orthogonal Multiple Access in Cooperative UAV Networks: A Stochastic Geometry Model
In this paper, a unified framework for 3-hop unmanned aerial vehicle (UAV)-assisted non-orthogonal multiple access (NOMA) network is proposed. Aim at characterizing the performance of proposed framework, by using stochastic geometry, the analytical expressions for the outage probability of uplink/downlink transmissions are derived in closed- form for randomly deployed NOMA users. To obtain more insights of the network performance, the asymptotic analyses for the outage probability in the high signal- to-noise ratio (SNR) regime are carried out. These results reveal that for the uplink transmission, there exists an error floor due to the interference from the far user, while the performance of the far user can outperform the near one for the downlink transmission, which can be explained by the fact that the far user has a higher receiving power.
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