TY - GEN
T1 - A stream-wise blind selected mapping technique for low-PAPR multi-user MIMO transmission
AU - Boonkajay, Amnart
AU - Adachi, Fumiyuki
PY - 2018/4/2
Y1 - 2018/4/2
N2 - Peak-to-average power ratio (PAPR) of transmit waveform becomes higher when transmit filtering and/or pre-coding are employed. In this paper, we introduce a PAPR reduction scheme called selected mapping without side information transmission (called blind SLM) for both orthogonal frequency division multiplexing (OFDM) and single-carrier (SC) signals. Firstly, we review the proposed blind SLM techniques, considering both single-input single output (SISO) and space-time block coded transmit diversity (STBC-TD). Then, a blind SLM technique for multi-user multiple-input multiple-output (MU-MIMO) transmission with minimum mean-square error (MMSE) filtering and singular value decomposition (SVD), called MMSE-SVD, is introduced. To realize a simple data detection without side-information in MU-MIMO, we recommend that the phase rotation sequence multiplication should be applied to transmit data streams before applying the transmit filtering (called stream-wise SLM). At the receiver, the phase rotation sequence estimation is done for each users data streams after applying the receive filtering. Simulation results confirm that the stream-wise blind SLM for MMSE-SVD can reduce the PAPR of transmit waveforms without degrading bit-error rate (BER).
AB - Peak-to-average power ratio (PAPR) of transmit waveform becomes higher when transmit filtering and/or pre-coding are employed. In this paper, we introduce a PAPR reduction scheme called selected mapping without side information transmission (called blind SLM) for both orthogonal frequency division multiplexing (OFDM) and single-carrier (SC) signals. Firstly, we review the proposed blind SLM techniques, considering both single-input single output (SISO) and space-time block coded transmit diversity (STBC-TD). Then, a blind SLM technique for multi-user multiple-input multiple-output (MU-MIMO) transmission with minimum mean-square error (MMSE) filtering and singular value decomposition (SVD), called MMSE-SVD, is introduced. To realize a simple data detection without side-information in MU-MIMO, we recommend that the phase rotation sequence multiplication should be applied to transmit data streams before applying the transmit filtering (called stream-wise SLM). At the receiver, the phase rotation sequence estimation is done for each users data streams after applying the receive filtering. Simulation results confirm that the stream-wise blind SLM for MMSE-SVD can reduce the PAPR of transmit waveforms without degrading bit-error rate (BER).
KW - MU-MIMO
KW - OFDM
KW - PAPR
KW - STBC
KW - selected mapping
KW - single carrier
UR - http://www.scopus.com/inward/record.url?scp=85049622999&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85049622999&partnerID=8YFLogxK
U2 - 10.1109/ICCChina.2017.8330507
DO - 10.1109/ICCChina.2017.8330507
M3 - Conference contribution
AN - SCOPUS:85049622999
T3 - 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
SP - 1
EP - 6
BT - 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
Y2 - 22 October 2017 through 24 October 2017
ER -