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Low-power MIMO signal processing

机译:低功耗MIMO信号处理

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摘要

In this paper, we present a new adaptive error-cancellation (AEC) technique, denoted as multi-input-multi-output (MIMO)-AEC, for the design of low-power MIMO signal processing systems. The MIMO-AEC technique builds on the previously proposed AEC technique by employing an algorithm transformation denoted as MIMO decorrelating (MIMO-DECOR) transform. MIMO-DECOR reduces complexity by exploiting correlations inherent in MIMO systems, thereby improving the energy efficiency of AEC. The proposed MIMO-AEC enables energy minimization of MIMO systems by correcting transient/soft errors that arise in very large scale integration signal processing implementations due to inherent process nonidealities and/or aggressive low-power design styles, such as voltage overscaling. We employ the MIMO-AEC in the design of a low-power Gigabit Ethernet 1000Base-T device. Simulation results indicate 69.1%-64.2% energy savings over optimally voltage-scaled present-day systems with no loss in algorithmic performance.
机译:在本文中,我们提出了一种新的自适应错误消除(AEC)技术,称为多输入多输出(MIMO)-AEC,用于设计低功耗MIMO信号处理系统。 MIMO-AEC技术通过采用表示为MIMO去相关(MIMO-DECOR)变换的算法变换,在先前提出的AEC技术的基础上进行构建。 MIMO-DECOR通过利用MIMO系统固有的相关性来降低复杂度,从而提高AEC的能效。所提出的MIMO-AEC通过纠正由于固有的工艺不理想和/或激进的低功耗设计风格(例如电压超标)而在超大规模集成信号处理实现中出现的瞬态/软错误,从而使MIMO系统的能量最小化。我们在低功耗千兆位以太网1000Base-T设备的设计中采用了MIMO-AEC。仿真结果表明,与当今最佳电压缩放的系统相比,该算法节省了69.1%-64.2%的能量,而算法性能没有损失。

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