Virtual pilot-based channel estimation and multiuser detection for multiuser MIMO in LTE-Advanced

Sunho Park, Jun Won Choit, Ji Yun Seol, Byonghyo Shim

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

1 Citation (Scopus)

Abstract

Multiuser multiple-input multiple-output (MU-MIMO) transmission technique based on orthogonal frequency division multiplexing (OFDM) system has been received great deal of attention in recent years due to its potential higher spectral efficiency. However, because of the accuracy of channel state information, co-scheduled mobile users may suffer large residual multiuser interference in MU-MIMO system. In this paper, we propose a new channel estimation technique using expectation and maximization (EM) algorithm with reliable soft symbols for the MU-MIMO systems in LTE-Advanced. In the proposed scheme, we choose reliable data tones from both desired and interfering signals and improves the channel estimation quality using iterative process between channel estimation and data detection in frequency domain. We show that the proposed method achieves substantial performance gain over conventional channel estimation approaches.

Original languageEnglish
Title of host publication2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509017010
DOIs
Publication statusPublished - 2017 Mar 17
Externally publishedYes
Event84th IEEE Vehicular Technology Conference, VTC Fall 2016 - Montreal, Canada
Duration: 2016 Sep 182016 Sep 21

Other

Other84th IEEE Vehicular Technology Conference, VTC Fall 2016
CountryCanada
CityMontreal
Period16/9/1816/9/21

ASJC Scopus subject areas

  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Park, S., Choit, J. W., Seol, J. Y., & Shim, B. (2017). Virtual pilot-based channel estimation and multiuser detection for multiuser MIMO in LTE-Advanced. In 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings [7881966] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2016.7881966