UAV-Assisted Data Collection with Non-Orthogonal Multiple Access
UAV-Assisted Data Collection with Non-Orthogonal Multiple Access
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DOI：
10.1109/wcnc45663.2020.9120609
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发表时间：
2020-05
期刊：
影响因子：
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通讯作者：
Weichao Chen;Shengjie Zhao;Rongqing Zhang;Liuqing Yang
中科院分区：
文献类型：
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作者：
Weichao Chen;Shengjie Zhao;Rongqing Zhang;Liuqing Yang
无人机（UAV）极大地促进了物联网（IoT）系统中的信息收集。另一方面，非正交多址（NOMA）被认为是一种有前途的技术，可以提供高频谱效率并支持5G网络中的大规模连接。NOMA在无人机辅助无线网络中的应用具有巨大的潜力，但如何根据无人机的不同位置确定NOMA中的用户分组和功率分配是一个挑战。在本文中，我们提出了一个通用的NOMA使能无人机辅助数据收集（NUDC）协议，以解决制定的和速率最大化问题，这样的无人机，传感器分组和功率控制的位置被共同考虑。此外，联合信号干扰比（SIR）超图为基础的分组和功率控制（SHG-PC）NOMA方案提供了有效地获得适当的传感器分组和最佳的功率控制解决方案。大量的仿真结果证明了我们提出的协议的有效性。
Unmanned aerial vehicles (UAVs) facilitate information collection greatly in Internet of Things (IoT) systems. On the other hand, non-orthogonal multiple access (NOMA) is regarded as a promising technology to provide high spectral efficiency and support massive connectivity in 5G networks. The integration of NOMA into UAV-assisted wireless networks shows great potential, but how to determine the user grouping and power allocation in NOMA according to the different locations of UAV is challenging. In this paper, we propose a general NOMA-enabled UAV-assisted data collection (NUDC) protocol to solve the formulated sum rate maximization problem such that the location of UAV, sensor grouping, and power control are jointly considered. Moreover, a joint signal-to-interference-ratio (SIR) hypergraph-based grouping and power control (SHG-PC) NOMA scheme is provided to obtain the appropriate sensor grouping and the optimal power control solutions efficiently. Extensive simulation results demonstrate the effectiveness of our proposed protocol.