Turbo-HB: A Novel Design and Implementation to Achieve Ultra-Fast Hybrid Beamforming
Yongce Chen, Yan Huang, Chengzhang Li, Y. Thomas Hou, Wenjing Lou
Abstract
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.
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