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mmWave Massive MIMO with Simple RF and Appropriate DSP

机译:mmWave massive mImO,具有简单的RF和适当的Dsp

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摘要

There is considerable interest in the combined use of millimeter-wave(mmwave) frequencies and arrays of massive numbers of antennas (massive MIMO)for next-generation wireless communications systems. A symbiotic relationshipexists between these two factors: mmwave frequencies allow for densely packedantenna arrays, and hence massive MIMO can be achieved with a small formfactor; low per-antenna SNR and shadowing can be overcome with a large arraygain; steering narrow beams or nulls with a large array is a good match for theline-of-sight (LOS) or near-LOS mmwave propagation environments, etc.. However,the cost and power consumption for standard implementations of massive MIMOarrays at mmwave frequencies is a significant drawback to rapid adoption anddeployment. In this paper, we examine a number of possible approaches to reducecost and power at both the basestation and user terminal, making up for it withsignal processing and additional (cheap) antennas. These approaches includelowresolution Analog-to-Digital Converters (ADCs), wireless local oscillatordistribution networks, spatial multiplexing and multistreaming instead ofhigher-order modulation etc.. We will examine the potential of these approachesin making mmwave massive MIMO a reality and discuss the requirements in termsof digital signal processing (DSP).
机译:对于下一代无线通信系统,毫米波频率和大量天线阵列(大规模MIMO)的结合使用引起了极大的兴趣。这两个因素之间存在共生关系:毫米波频率允许密集排列的天线阵列,因此可以以较小的外形实现大规模MIMO;较大的阵列增益可以克服较低的每天线SNR和阴影。在较大的视线(LOS)或接近LOS毫米波传播环境等情况下,使用大型阵列操纵窄波束或零点是很好的匹配。但是,在毫米波频率下大规模MIMO阵列的标准实现的成本和功耗为快速采用和部署的显着缺点。在本文中,我们研究了许多可能的方法来降低基站和用户终端的成本和功耗,并通过信号处理和额外的(便宜的)天线来弥补它。这些方法包括低分辨率的模数转换器(ADC),无线本地振荡器分布网络,空间复用和多数据流,而不是高阶调制等。数字信号处理(DSP)。

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