TY - GEN
T1 - Decision-Feedback Prediction Channel Estimation for MIMO Cooperative Transmission
AU - Adachi, Fumiyuki
AU - Boonkajay, Amnart
N1 - Funding Information:
This paper includes a part of results of “The research and development project for realization of the fifth-generation mobile communications system” commissioned to Tohoku University by The Ministry of Internal Affairs and Communications (MIC), Japan.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/20
Y1 - 2018/7/20
N2 - 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.
AB - 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.
KW - 5G
KW - MIMO
KW - channel estimation
KW - cooperative transmission
KW - decision-feedback
KW - linear prediction
UR - http://www.scopus.com/inward/record.url?scp=85050974988&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050974988&partnerID=8YFLogxK
U2 - 10.1109/VTCSpring.2018.8417556
DO - 10.1109/VTCSpring.2018.8417556
M3 - Conference contribution
AN - SCOPUS:85050974988
T3 - IEEE Vehicular Technology Conference
SP - 1
EP - 5
BT - 2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 87th IEEE Vehicular Technology Conference, VTC Spring 2018
Y2 - 3 June 2018 through 6 June 2018
ER -