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Two Low Complexity MRC and EGC Based Receivers for SC-FDE Modulations with Massive MIMO Schemes

机译:具有大规模MIMO方案的两个低复杂度基于MRC和EGC的SC-FDE调制接收器

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摘要

Massive multiple-input and multiple-output (MIMO) schemes involving several tens or even hundreds of antenna elements are pointed as one of the key technologies for 5G systems. However the huge capacity gains attainable by these schemes, are only possible with receivers able to cope with the frequency selective fading that may affect the signals. These systems can be combined with single-carrier with frequency domain equalization (SC-FDE) schemes to improve the power efficiency in uplink due to the low envelope fluctuations. However, when more antennas are involved in the communication link, channel matrix size grows and the complexity involved in equalization process can be an obstacle to power consumption and low latency. In this paper we will focus on the equalization applied in massive MIMO schemes, more specifically in two new low complexity receivers based on an iterative block decision feedback equalizer (IB-DFE) that avoid matrix inversion operation by replacing in the equalizer the feedforward part by an equal gain combiner (EGC) or a maximum ratio combiner (MRC) module.
机译:涉及数十甚至数百个天线元件的大规模多输入多输出(MIMO)方案被指出是5G系统的关键技术之一。但是,只有通过能够应对可能影响信号的频率选择性衰落的接收机,这些方案才能获得巨大的容量增益。这些系统可以与具有频域均衡(SC-FDE)方案的单载波组合,以改善由于低包络波动而导致的上行链路功率效率。但是,当通信链路中涉及更多天线时,信道矩阵大小会增加,并且均衡过程中涉及的复杂性可能成为功耗和低延迟的障碍。在本文中,我们将重点讨论大规模MIMO方案中应用的均衡,尤其是在两个基于迭代块决策反馈均衡器(IB-DFE)的新型低复杂度接收机中,这些均衡器通过在均衡器中替换前馈部分来避免矩阵求反运算等增益组合器(EGC)或最大比率组合器(MRC)模块。

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