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An Efficient Slow-Time Adaptation for Massive MIMO Hybrid Beamforming in mm-Wave Time-Varying Channels

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Document pages: 37 pages

Abstract: In this paper, adaptive hybrid beamforming methods are proposed formillimeter-wave range massive multiple-input-multiple-output (MIMO) systemsconsidering single carrier wideband transmission in uplink data mode. Astatistical analog beamformer is adaptively constructed in slow-time, while thechannel is time-varying and erroneously estimated. A recursive filteringapproach is proposed, which aims robustness against estimation errors forgeneralized eigen-beamformer (GEB). Approximated expressions are obtained forchannel covariance matrices that decouple angular spread and center angle ofmultipath components. With these expressions, modified adaptive constructionmethods for GEB are proposed, which use only the quantized estimated powerlevels on angular patches. The performances of the proposed slow-timeadaptation techniques for statistical Massive MIMO beamforming are evaluated interms of the output signal-to-interference-and-noise-ratio (SINR),instantaneous channel estimation and beam accuracy. They are shown to be veryefficient such that the computational complexity is significantly reduced whilethe performance remains almost the same as that of the ideal GEB even in largeangular estimation errors.

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