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5G millimeter wave cellular system capacity with fully digital beamforming

机译:具有全数字波束成形的5G毫米波蜂窝系统容量

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Due to heavy reliance of millimeter-wave (mmWave) wireless systems on directional links, Beamforming (BF) with high-dimensional arrays is essential for cellular systems in these frequencies. How to perform the array processing in a power efficient manner is a fundamental challenge. Analog and hybrid BF require fewer analog-to-digital converters (ADCs), but can only communicate in a small number of directions at a time, limiting directional search, spatial multiplexing and control signaling. Digital BF enables flexible spatial processing, but must be operated at a low quantization resolution to stay within reasonable power levels. This paper presents a simple additive white Gaussian noise (AWGN) model to assess the effect of low-resolution quantization of cellular system capacity. Simulations with this model reveal that at moderate resolutions (3-4 bits per ADC), there is negligible loss in downlink cellular capacity from quantization. In essence, the low-resolution ADCs limit the high SNR, where cellular systems typically do not operate. The findings suggest that low-resolution fully digital BF architectures can be power efficient, offer greatly enhanced control plane functionality and comparable data plane performance to analog BF.
机译:由于毫米波(mmWave)无线系统严重依赖定向链路,因此具有高维阵列的波束成形(BF)对于这些频率下的蜂窝系统至关重要。如何以省电的方式执行阵列处理是一项基本挑战。模拟和混合BF需要较少的模数转换器(ADC),但一次只能在少数几个方向上进行通信,从而限制了方向搜索,空间复用和控制信令。数字BF可实现灵活的空间处理,但必须以低量化分辨率进行操作以保持在合理的功率水平内。本文提出了一个简单的加性高斯白噪声(AWGN)模型,以评估蜂窝系统容量的低分辨率量化的影响。用该模型进行的仿真表明,在中等分辨率下(每个ADC 3-4位),下行链路蜂窝容量的量化损失可忽略不计。本质上,低分辨率ADC限制了蜂窝系统通常不工作的高SNR。研究结果表明,低分辨率全数字BF架构可以提高电源效率,大大增强控制平面功能,并提供与模拟BF相当的数据平面性能。

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