Low complexity and high accuracy channel interpolation with dividing URA into Small URAs for 3D Massive MIMO

Masumi Kuriyama, Tomoaki Ohtsuki

研究成果: Conference contribution

抄録

Massive multiple-input multiple-output (MIMO) is a technology that uses many antennas at base station (BS), and can realize advanced beamforming and spatial multiplexing. However, since Massive MIMO has many antennas, there exist problems such as the increase of overhead including pilot signals used for channel estimation and feedback of channel state information (CSI). To reduce the overhead, there is a technique of transmitting pilot signals only from some antennas and obtaining channels of the remaining antennas by the minimum mean square error (MMSE) interpolation based on spatial correlation. In addition, to perform the MMSE interpolation with low computational complexity, there is a method of interpolating channels by dividing the uniform rectangular antenna array (URA) into the vertical and horizontal linear directions. However, there is a problem that channel interpolation accuracy becomes low with dividing into the linear arrays. In this paper, we propose a method of channel interpolation with dividing the entire URA into a set of smaller URAs where interpolation is performed in each URA. Through computer simulation we show that the proposed method reduces the computational complexity compared with that without dividing, and improves the channel interpolation accuracy compared with that with dividing into linear arrays.

本文言語English
ホスト出版物のタイトル2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728112206
DOI
出版ステータスPublished - 2019 9
イベント90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, United States
継続期間: 2019 9 222019 9 25

出版物シリーズ

名前IEEE Vehicular Technology Conference
2019-September
ISSN(印刷版)1550-2252

Conference

Conference90th IEEE Vehicular Technology Conference, VTC 2019 Fall
国/地域United States
CityHonolulu
Period19/9/2219/9/25

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 電子工学および電気工学
  • 応用数学

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