Turbo-HB: A Novel Design and Implementation to Achieve Ultra-Fast Hybrid Beamforming
Turbo-HB: A Novel Design and Implementation to Achieve Ultra-Fast Hybrid Beamforming
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DOI：
10.1109/infocom41043.2020.9155337
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发表时间：
2020-07
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影响因子：
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通讯作者：
Yongce Chen;Yan-Cheng Huang;Chengzhang Li;Y. T. Hou;Wenjing Lou
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作者：
Yongce Chen;Yan-Cheng Huang;Chengzhang Li;Y. T. Hou;Wenjing Lou
混合波束形成（HB）架构被广泛认为是毫米波MIMO系统最有前途的解决方案。HB面临的一个主要实际挑战是在1001 ms内获得解决方案，这对于其在现场部署来说是一个非常严格但必要的时间要求。本文介绍了Turbo-HB的设计和实现，它是HB架构下一种新型波束成形设计的代号，可以在大约1 ms内获得波束成形矩阵。Turbo-HB的关键思想包括：（i）通过利用毫米波频率下有限数量的信道路径来降低SVD技术的复杂性，以及（ii）设计和实现用于大量矩阵变换的可并行化算法。我们通过在现成的Nvidia GPU上实现Turbo-HB来验证它。通过大量的实验，我们表明，涡轮HB可以满足1001毫秒的时序要求，同时提供有竞争力的吞吐量性能相比，国家的最先进的算法。
Hybrid beamforming (HB) architecture has been widely recognized as the most promising solution to mmWave MIMO systems. A major practical challenge for HB is to obtain a solution in ∼1 ms, which is an extremely stringent but necessary time requirement for its deployment in the field. In this paper, we present the design and implementation of Turbo-HB, codename for a novel beamforming design under the HB architecture that can obtain the beamforming matrices in about 1 ms. The key ideas in Turbo-HB include (i) reducing the complexity of SVD techniques by exploiting the limited number of channel paths at mmWave frequencies, and (ii) designing and implementing a parallelizable algorithm for a large number of matrix transformations. We validate Turbo-HB by implementing it on an off-the-shelf Nvidia GPU. Through extensive experiments, we show that Turbo-HB can meet ∼1 ms timing requirement while delivering competitive throughput performance compared to state-of-the-art algorithms.