Low-rank matrix fitting based channel estimation for full-dimensional massive MIMO systems

被引：0

作者：

Xu, Yaning ^{[1
]}

Du, Weimin ^{[2
]}

Fan, Yining ^{[3
]}

Zhang, Zhijiang ^{[4
]}

机构：

[1] Xian Technol Univ, Sch Econ & Management, Xian 710021, Peoples R China

[2] Xidian Univ, State Key Lab Integrated Serv, Xian 710071, Peoples R China

[3] St Lawrence Univ, Canton, NY 13617 USA

[4] Xian Silk Rd Internet Things Ind Pk Management Co, Ni Guangnan Academician Workstn, Xian 710016, Peoples R China

来源：

ELECTRONICS LETTERS | 2022年 / 58卷 / 03期

关键词：

COMPLETION;

D O I：

10.1049/ell2.12379

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Full-dimensional (FD) massive MIMO can overcome the limitation of the physical space at the base station (BS) and meet the increasing capacity requirement for future wireless communications. However, the pilot overhead for the acquisition of the channel state information (CSI) at the BS could be prohibitively high due to the large number of antennas. In this letter, exploiting the Kronecker property of the channel, we propose a low-rank matrix fitting based channel estimation (LMFCE) scheme to reduce the pilot overhead in FD massive MIMO systems. The simulation results illustrate that the proposed LMFCE scheme can significantly reduce the pilot overhead for the channel estimation.

引用

页码：136 / 138

页数：3

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