Decision-Feedback Prediction Channel Estimation for MIMO Cooperative Transmission

Fumiyuki Adachi, Amnart Boonkajay

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, the channel estimation (CE) scheme suitable for MIMO cooperative transmission using time division duplex (TDD) in a high mobility environment is considered. We propose a decision-feedback linear prediction (DF-LP) CE scheme, which is used during data transmission. The uncoded bit error rate (BER) performances of OFDM downlink using maximal ratio transmit diversity (MRTD) and single-carrier (SC) uplink using minimum mean square error combining diversity (MMSECD) are evaluated by computer simulation. It is confirmed that the proposed DF-LP CE scheme can significantly improve the BER performance in a very high mobility environment.

Original languageEnglish
Title of host publication2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538663554
DOIs
Publication statusPublished - 2018 Jul 20
Event87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, Portugal
Duration: 2018 Jun 3 → 2018 Jun 6

Publication series

NameIEEE Vehicular Technology Conference
Volume2018-June
ISSN (Print)1550-2252

Other

Other87th IEEE Vehicular Technology Conference, VTC Spring 2018
CountryPortugal
CityPorto
Period18/6/3 → 18/6/6

Keywords

  • 5G
  • MIMO
  • channel estimation
  • cooperative transmission
  • decision-feedback
  • linear prediction

ASJC Scopus subject areas

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

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    • Cite this

    Adachi, F., & Boonkajay, A. (2018). Decision-Feedback Prediction Channel Estimation for MIMO Cooperative Transmission. In 2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings (pp. 1-5). (IEEE Vehicular Technology Conference; Vol. 2018-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCSpring.2018.8417556