论文标题
使用无人机的大规模MIMO网络的飞行员净化
Pilot Decontamination for Massive MIMO Network with UAVs
论文作者
论文摘要
这封信研究了大量多输入多输出（MIMO）网络的试点污染问题（PC）问题，并共存陆地用户和无人机（UAVS）。由于无人机和基站（BSS）之间强烈的视线（LOS）空对地通道，与传统的地面用户相比，无人机通常会引起更严重的PC问题。为了减轻无人机引起的PC，我们通过利用大量MIMO BSS的全维光束和它们之间的角度依赖性LOS通道和高空无人机，提出了一个低复杂性分布的方案。数值结果表明，拟议的试验净化方案的有效性以及在飞行员净化后的上行链路和下行链路上的显着信号与互相 - 加上噪声比（SINR）的有效性。
This letter studies the pilot contamination (PC) problem for massive multiple-input multiple-output (MIMO) networks with coexisting terrestrial users and unmanned aerial vehicles (UAVs). Due to the strong line-of-sight (LoS) air-to-ground channels between UAVs and base stations (BSs), UAVs usually cause a more severe PC issue as compared to the traditional terrestrial users. To mitigate the PC caused by UAVs, we propose a low-complexity distributed scheme by exploiting the full-dimensional beamforming of massive MIMO BSs and the angle-dependent LoS channels between them and high-altitude UAVs. Numerical results show the effectiveness of the proposed pilot decontamination scheme and the significant signal-to-interference-plus-noise ratio (SINR) gains in both the uplink and downlink after pilot decontamination.
