Application of Least-Squares Channel Estimation to Large-scale MU-MIMO-OFDM in the Presence of Terminal Mobility

Yutaka Itoya, Shuhei Saito, Hirofumi Suganuma, Hiromichi Tomeba, Takashi Onodera, Fumiaki Maehara*

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper investigates the effect of multiplexing-based least squares (LS) channel estimation on uplink large-scale MU-MIMO-OFDM in the presence of terminal mobility. In uplink large-scale MU-MIMO, the same number of pilot symbols as that of mobile stations (MSs) is generally required, which results in the consumption of a substantial amount of resources for channel estimation. This overhead can be reduced by using the LS channel estimation in user multiplexing because this method has only to use a limited number of subcarriers, with a multipath length at most. In addition, the achieved overhead reductions can be effectively utilized for improving the tracking capability of channel estimation under varying channels. Since our performance evaluation focuses on mobile communications systems such as 6G, uplink large-scale MU-MIMO is assumed, and Gaussian belief propagation (GaBP) is applied to detect multiple uplink signals. The effectiveness of this method relative to that of the traditional LS method with the same number of pilot symbols is demonstrated under time selective fading through computer simulations.

本文言語English
ホスト出版物のタイトルISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems
ホスト出版物のサブタイトル5G Dream to Reality, Proceeding
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781665419512
DOI
出版ステータスPublished - 2021
イベント2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021 - Hualien, Taiwan, Province of China
継続期間: 2021 11月 162021 11月 19

出版物シリーズ

名前ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems: 5G Dream to Reality, Proceeding

Conference

Conference2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021
国/地域Taiwan, Province of China
CityHualien
Period21/11/1621/11/19

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • 信号処理
  • 安全性、リスク、信頼性、品質管理

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