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Wireless Power Transfer for UAV Communications with Cell-Free Massive MIMO Systems

机译:无线电力传输,用于无UAV通信与无细胞大规模MIMO系统

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Recently, unmanned aerial vehicle (UAV) communications have drawn significant research interests. Meanwhile, cell-free (CF) massive multiple-input multiple-output (MIMO) is proposed as a promising technology to achieve the ultimate performance limits. In this paper, we investigate the UAV communication with wireless power transfer (WPT) aided CF massive MIMO systems, where the harvested energy (HE) from the downlink WPT is used to support both uplink data and pilot transmission. Take hardware impairments of UAV into account, novel closed-form downlink HE and uplink spectral efficiency (SE) expressions are derived. UAV communications with small cell (SC) and cellular massive MIMO enabled WPT systems are also considered for comparison. Our results reveal that CF massive MIMO achieves two and four times higher 95%-likely uplink SE than the ones of SC and cellular massive MIMO, respectively. To this end, SE is a concave function of the time-splitting fraction, and the optimal time-splitting fraction for maximizing SE is determined by the altitude and hardware impairment factor of the UAV.
机译:最近,无人驾驶车辆(UAV)通信已经绘制了显着的研究兴趣。同时,提出了无细胞(CF)大规模多输入多输出(MIMO)作为实现最终性能限制的有希望的技术。在本文中,我们研究了与无线电力传输(WPT)辅助CF大规模MIMO系统的UAV通信,其中来自下行链路WPT的收获能量(HE)用于支持上行链路数据和导频传输。考虑到无人机的硬件障碍,推导了新颖的封闭式下行链路和上行链路谱效率(SE)表达式。还考虑了具有小型电池(SC)和蜂窝大规模MIMO的WPT系统的UAV通信。我们的结果表明,CF大规模MIMO达到了比SC和蜂窝大规模MIMO中的95%的达到95%的升高率高。为此,SE是时间分离部分的凹形函数,最大化SE的最佳时间分离级分由UAV的高度和硬件损伤因子决定。

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