Hardware-Aware Beamspace Precoding for All-Digital mmWave Massive MU-MIMO
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Date
2021-11
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Journal Article
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Abstract
Massive multi-user multiple-input multiple-output (MU-MIMO) wireless systems operating at millimeter-wave (mmWave) frequencies enable simultaneous wideband data transmission to a large number of users. In order to reduce the complexity of MU precoding in all-digital basestation architectures, we propose a two-stage precoding architecture that first performs precoding using a sparse matrix in the beamspace domain, followed by an inverse fast Fourier transform that converts the result to the antenna domain. The sparse precoding matrix requires a small number of multipliers and enables regular hardware architectures, which allows the design of hardware-efficient all-digital precoders. Simulation results demonstrate that our methods approach the error-rate of conventional Wiener filter precoding with more than 2\times reduced complexity.
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published
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25 (11)
Pages / Article No.
3709 - 3713
Publisher
IEEE
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Software
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09695 - Studer, Christoph / Studer, Christoph