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Per-antenna hardware optimization and mixed resolution ADCs in uplink massive MIMO

机译:上行链路大规模MIMO中的每天线硬件优化和混合分辨率ADC

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Massive multiple-input multiple-output (MIMO) is a key technology for next generation wireless networks that deploys many antennas at the base stations (BSs). This requires low-complexity hardware at each antenna branch that, in turn, increases distortions. This work studies the selection of per-antenna hardware quality in terms of analog-to-digital converters (ADCs) resolution. A new achievable spectral efficiency (SE) expression is derived and majorization theory is used to analyze the order preserving properties of the SE and the power consumption with respect to the per-antenna ADC resolutions. That is, given a fixed sum of ADC resolutions across the antenna array, is it preferable to use an equal-ADC over a mixed-ADC approach? The results show that having equal-resolution ADCs across the antenna array maximizes the SE and minimizes the power consumption.
机译:大量多输入多输出(MIMO)是下一代无线网络的关键技术,用于在基站(BSS)处部署许多天线。这需要每个天线分支的低复杂性硬件,又增加了失真。这项工作研究了模数转换器(ADCS)分辨率方面的每个天线硬件质量的选择。推导出一种新的可实现的光谱效率(SE)表达,主要化理论用于分析SE的定量性能和相对于每天天的ADC分辨率的功耗。也就是说,在天线阵列上给出固定的ADC分辨率之和,它是否优选使用相等的ADC在混合ADC方法上?结果表明,在天线阵列上具有相等分辨率的ADC最大化SE并最大限度地减少功耗。

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