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

Norisato Suga, Ryohei Sasaki, Toshihiro Furukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728130385
DOIs
Publication statusPublished - 2019 Dec
Externally publishedYes
Event2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019 - Taipei, Taiwan, Province of China
Duration: 2019 Dec 32019 Dec 6

Publication series

NameProceedings - 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
Country/TerritoryTaiwan, Province of China
CityTaipei
Period19/12/319/12/6

Keywords

  • OFDM
  • channel estimation
  • interpolation
  • iteration reduction
  • matrix factorization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Computer Networks and Communications

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