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首页> 外文期刊>IEICE Transactions on Communications >Multi Modulus Signal Adaptation for Semi-Blind Uplink Interference Suppression on Multicell Massive MIMO Systems
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Multi Modulus Signal Adaptation for Semi-Blind Uplink Interference Suppression on Multicell Massive MIMO Systems

机译：多模量信号适配用于多元电机MIMMO系统上的半盲上行链路干扰抑制

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摘要

This paper expands our previously proposed semi-blind uplink interference suppression scheme for multicell multiuser massive MIMO systems to support multi modulus signals. The original proposal applies the channel state information (CSI) aided blind adaptive array (BAA) interference suppression after the beamspace preprocessing and the decision feedback channel estimation (DFCE). BAA is based on the constant modulus algorithm (CMA) which can fully exploit the degree of freedom (DoF) of massive antenna arrays to suppress both inter-user interference (IUI) and inter-cell interference (ICI). Its effectiveness has been verified under the extensive pilot contamination constraint. Unfortunately, CMA basically works well only for constant envelope signals such as QPSK and thus the proposed scheme should be expanded to cover QAM signals for more general use. This paper proposes to apply the multi modulus algorithm (MMA) and the minimum mean square error weight derivation based on data-aided sample matrix inversion (MMSE-SMI). It can successfully realize interference suppression even with the use of multi-level envelope signals such as 16QAM with satisfactorily outage probability performance below the fifth percentile.
机译：本文扩展了我们先前提出的多种多用户大型MIMO系统的半盲上行链路干扰抑制方案，以支持多模量信号。原始提议在BearSpace预处理和判定反馈信道估计（DFCE）之后应用信道状态信息（CSI）辅助自适应阵列（BAA）干扰抑制。 BAA基于恒定模量算法（CMA），其可以充分利用大规模天线阵列的自由度（DOF）来抑制用户间干扰（IUI）和小区间干扰（ICI）。它的有效性已经在广泛的导频污染限制下验证。不幸的是，CMA基本上仅适用于恒定的信封信号，例如QPSK，因此应该扩展所提出的方案以覆盖QAM信号以进行更一般使用。本文提出了基于数据辅助示例矩阵反转（MMSE-SMI）的多模量算法（MMA）和最小均方误差重量衍生。它可以成功实现干扰抑制，即使使用多级包络信号，例如16QAM，令人满意的停电性能低于第五百分位数。

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