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research-article

Hybrid Beamforming for Massive MIMO: A Survey

Published: 01 January 2017 Publication History

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 furthermore distinguish hardware structures of different complexities. Finally, we point out the special design aspects for operation at millimeter-wave frequencies.

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cover image IEEE Communications Magazine
IEEE Communications Magazine  Volume 55, Issue 9
2017
205 pages

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IEEE Press

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Published: 01 January 2017

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  • (2024)Cookie-Jar: An Adaptive Re-configurable Framework for Wireless Network InfrastructuresProceedings of the 21st ACM International Conference on Computing Frontiers10.1145/3649153.3649190(189-198)Online publication date: 7-May-2024
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