articleIEEE Communications MagazineJan 1, 2017Closed access

Hybrid Beamforming for Massive MIMO: A Survey

University of Southern California · Beihang University · +2 more institutions

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Abstract

Hybrid multiple-antenna transceivers, which combine large-dimensional analog pre/postprocessing with lower-dimensional digital processing, are the most promising approach for reducing the hardware cost and training overhead in massive MIMO systems. This article provides a comprehensive survey of the various incarnations of such structures that have been proposed in the literature. We provide a taxonomy in terms of the required channel state information, that is, whether the processing adapts to the instantaneous or average (second-order) channel state information; while the former provides somewhat better signal- to-noise and interference ratio, the latter has much lower overhead for CSI acquisition. We…

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1,166
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Authors

7

Topics & keywords

Keywords
  • Computer science
  • Beamforming
  • MIMO
  • Channel state information
  • Transceiver
  • Overhead (engineering)
  • Electronic engineering
  • Signal processing
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