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Overlapped Subarray Based Hybrid Beamforming for Millimeter Wave Multiuser Massive MIMO

机译:毫米波多用户大规模MIMO的基于重叠子阵列的混合波束成形

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For massive multiple input multiple output systems at millimeter wave (mmWave) bands, we consider an efficient hybrid array architecture, namely, overlapped subarray (OSA), and develop a Unified Low Rank Sparse (ULoRaS) recovery algorithm for hybrid beamforming in downlink multiuser scenarios. The ULoRaS scheme takes advantage of the transmit-receive coordinated beamforming procedure to achieve large array gains. It has no dimensionality constraint and can be applied to the generalized OSA architecture, including both the fully connected and the widely discussed non-OSA cases. It is shown that the proposed ULoRaS algorithm for the novel OSA design is a good compromise of the performance and the required hardware complexity.
机译:对于毫米波(mmWave)波段的大规模多输入多输出系统,我们考虑一种有效的混合阵列架构,即重叠子阵列(OSA),并针对下行链路多用户场景中的混合波束成形开发了统一的低秩稀疏(ULoRaS)恢复算法。 。 ULoRaS方案利用了发射-接收协同波束成形程序来获得较大的阵列增益。它没有尺寸限制,可以应用于广义的OSA体系结构,包括完全连接和广泛讨论的非OSA案例。结果表明,针对新颖的OSA设计提出的ULoRaS算法很好地折衷了性能和所需的硬件复杂性。

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