Pilot Allocation for Iteration Reduction of Channel Estimation Using MF-Based Interpolation

Norisato Suga, Ryohei Sasaki, Toshihiro Furukawa

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper studies an iteration reduction of channel estimation method using matrix factorization (MF) based interpolation. It is important to set the initial value close to the optimal solution to reduce the iteration. To obtain an appropriate initial value, exploiting the existing methods with low computational complexity such as linear interpolation is reasonable. While MF-based interpolation can achieve high accuracy when randomly determined pilot symbol allocation, it is not suitable for the existing method. This paper proposes a pilot allocation where fixed position and the randomly determined position are mixed to perform both the linear interpolation and MF-based interpolation. Computational simulation result shows the iteration reduction by the proposed pilot symbol allocation.

本文言語English
ホスト出版物のタイトルProceedings - 2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728130385
DOI
出版ステータスPublished - 2019 12月
外部発表はい
イベント2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019 - Taipei, Taiwan, Province of China
継続期間: 2019 12月 32019 12月 6

出版物シリーズ

名前Proceedings - 2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019

Conference

Conference2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019
国/地域Taiwan, Province of China
CityTaipei
Period19/12/319/12/6

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理
  • コンピュータ ネットワークおよび通信

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