TY - GEN
T1 - Adaptive MMSE-SVD to Improve the Tracking Ability Against Fast Fading
AU - Seki, Yuta
AU - Boonkajay, Amnart
AU - Adachi, Fumiyuki
N1 - Funding Information:
ACKNOWLEDGMENT 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 - 2018/7/2
Y1 - 2018/7/2
N2 - Multi-User Multiple Input Multiple Output (MU-MIMO) can significantly increase the link capacity without bandwidth expansion. One promising technique is MMSE-SVD, which is a combination of minimum mean square error (MMSE) filter at the base station (BS) side and eigenmode filter generated by singular value decomposition (SVD) at user equipment (UE) side. MMSE-SVD requires BS and UEs to share the MIMO channel state information (CSI) prior to data transmission. This may cause a serious problem in a high mobility environment; the shared MIMO CSI becomes outdated and consequently, the bit-error rate (BER) performance degrades. In this paper, we propose an adaptive MMSE-SVD, which updates the transmit filter using channel prediction and the receive filter using decision-feedback channel estimation. The uncoded BER performance of adaptive MMSE-SVD for orthogonal frequency division multiplexing (OFDM) downlink and single-carrier (SC) uplink is evaluated by computer simulation. Simulation results confirmed that adaptive MMSE-SVD increases the allowable maximum Doppler frequency (boldsymbol{f}-{mathbf{D}}boldsymbol{T}) for keeping mathbf{BER} < 10-{-2} by about 4 times for OFDM downlink while by about 1.6 times for SC uplink.
AB - Multi-User Multiple Input Multiple Output (MU-MIMO) can significantly increase the link capacity without bandwidth expansion. One promising technique is MMSE-SVD, which is a combination of minimum mean square error (MMSE) filter at the base station (BS) side and eigenmode filter generated by singular value decomposition (SVD) at user equipment (UE) side. MMSE-SVD requires BS and UEs to share the MIMO channel state information (CSI) prior to data transmission. This may cause a serious problem in a high mobility environment; the shared MIMO CSI becomes outdated and consequently, the bit-error rate (BER) performance degrades. In this paper, we propose an adaptive MMSE-SVD, which updates the transmit filter using channel prediction and the receive filter using decision-feedback channel estimation. The uncoded BER performance of adaptive MMSE-SVD for orthogonal frequency division multiplexing (OFDM) downlink and single-carrier (SC) uplink is evaluated by computer simulation. Simulation results confirmed that adaptive MMSE-SVD increases the allowable maximum Doppler frequency (boldsymbol{f}-{mathbf{D}}boldsymbol{T}) for keeping mathbf{BER} < 10-{-2} by about 4 times for OFDM downlink while by about 1.6 times for SC uplink.
KW - decision-feedback channel estimation
KW - linear prediction
KW - MU-MIMO
KW - OFDM downlink
KW - SC uplink
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U2 - 10.1109/VTCFall.2018.8690881
DO - 10.1109/VTCFall.2018.8690881
M3 - Conference contribution
AN - SCOPUS:85064943749
T3 - IEEE Vehicular Technology Conference
BT - 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 88th IEEE Vehicular Technology Conference, VTC-Fall 2018
Y2 - 27 August 2018 through 30 August 2018
ER -