Pilot Decontamination for Massive MIMO Network With UAVs

被引:7
|
作者
Lu, Rui [1 ]
Wu, Qingqing [2 ,3 ,4 ]
Zhang, Rui [2 ]
机构
[1] Xi An Jiao Tong Univ, Sch Informat & Commun Engn, Xian 710049, Peoples R China
[2] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117583, Singapore
[3] Univ Macau, State Key Lab Internet Things Smart City, Macau, Peoples R China
[4] Univ Macau, Dept Elect & Comp Engn, Macau, Peoples R China
关键词
Interference; Uplink; Channel estimation; Signal to noise ratio; Downlink; Decontamination; Massive MIMO; Massive multiple-input multiple-output; pilot contamination; unmanned aerial vehicle (UAV);
D O I
10.1109/LWC.2020.3004914
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1830 / 1834
页数:5
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