A stream-wise blind selected mapping technique for low-PAPR multi-user MIMO transmission

Amnart Boonkajay, F. Adachi
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引用次数: 2

Abstract

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).
一种低papr多用户MIMO传输的流式盲选映射技术
采用发射滤波和/或预编码后,发射波形的峰均功率比(PAPR)增大。本文针对正交频分复用(OFDM)和单载波(SC)信号,介绍了一种称为无侧信息传输的选择映射(盲SLM)的PAPR减小方案。首先,我们回顾了考虑单输入单输出(SISO)和空时分组编码发射分集(STBC-TD)的盲SLM技术。然后,介绍了一种基于最小均方误差(MMSE)滤波和奇异值分解(SVD)的多用户多输入多输出(MU-MIMO)盲SLM传输技术(MMSE -SVD)。为了在MU-MIMO中实现无侧信息的简单数据检测,我们建议在应用传输滤波(称为stream-wise SLM)之前对传输数据流应用相位旋转序列乘法。在接收端,对每个用户数据流进行接收滤波后的相位旋转序列估计。仿真结果表明,MMSE-SVD的顺流盲SLM可以在不降低误码率的前提下降低发射波形的PAPR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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