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High-End Performance with Low-End Hardware : Analysis of Massive MIMO Base Station Transceivers

机译:低端硬件的高端性能:大规模mImO基站收发器的分析

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摘要

Massive MIMO (multiple-input–multiple-output) is a multi-antenna technology for cellular wireless communication, where the base station uses a large number of individually controllable antennas to multiplex users spatially.  This technology can provide a high spectral efficiency.  One of its main challenges is the immense hardware complexity and cost of all the radio chains in the base station.  To make massive MIMO commercially viable, inexpensive, low-complexity hardware with low linearity has to be used, which inherently leads to more signal distortion.  This thesis investigates how the degenerated linearity of some of the main components—power amplifiers, analog-to-digital converters (ADCs) and low-noise amplifiers—affects the performance of the system, with respect to data rate, power consumption and out-of-band radiation. The main results are: Spatial processing can reduce PAR (peak-to-average ratio) of the transmit signals in the downlink to as low as 0B; this, however, does not necessarily reduce power consumption.  In environments with isotropic fading, one-bit ADCs lead to a reduction in effective signal-to-interference-and-noise ratio (SINR) of 4dB in the uplink and four-bit ADCs give a performance close to that of an unquantized system.  An analytical expression for the radiation pattern of the distortion from nonlinear power amplifiers is derived.  It shows how the distortion is beamformed to some extent, that its gain never is greater than that of the desired signal, and that the gain of the distortion is reduced with a higher number of served users and a higher number of channel taps.  Nonlinear low-noise amplifiers give rise to distortion that partly combines coherently and limits the possible SINR.  It is concluded that spatial processing with a large number of antennas reduces the impact of hardware distortion in most cases.  As long as proper attention is paid to the few sources of coherent distortion, the hardware complexity can be reduced in massive MIMO base stations to overcome the hardware challenge and make massive MIMO commercial reality.
机译:大规模MIMO(多输入多输出)是一种用于蜂窝无线通信的多天线技术,其中基站使用大量独立控制的天线在空间上对用户进行多路复用。该技术可以提供高光谱效率。它的主要挑战之一是基站中所有无线电链的巨大硬件复杂性和成本。为了使大规模MIMO在商业上可行,必须使用具有低线性度的廉价,低复杂度的硬件,这必然导致更多的信号失真。本文研究了功率放大器,模数转换器(ADC)和低噪声放大器等一些主要组件的退化线性度如何在数据速率,功耗和输出功率方面影响系统性能。带外辐射。主要结果是:空间处理可以将下行链路中发射信号的PAR(峰均比)降低到0B。然而,这并不一定减少功耗。在各向同性衰落的环境中,一位ADC导致上行链路中4dB的有效信噪比(SINR)降低,而四位ADC的性能接近未量化的系统。推导了非线性功率放大器失真的辐射方向图的解析表达式。它显示了失真如何在某种程度上进行波束形成,其增益永远不会大于所需信号的增益,并且随着服务用户数量的增加和信道抽头数量的增加,失真的增益会降低。非线性低噪声放大器会引起失真,失真会部分相干地结合在一起,并限制了可能的SINR。结论是,在大多数情况下,使用大量天线进行空间处理会减少硬件失真的影响。只要适当注意少数几个相干失真源,就可以在大型MIMO基站中降低硬件复杂性,从而克服硬件挑战并实现大规模MIMO商业现实。

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    Mollén, Christopher;

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  • 年度 2017
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