Hybrid Beamforming for Massive MIMO: A Survey
University of Southern California · Beihang University · +2 more institutions
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…
Citation impact
- FWCI
- 70.29
- Percentile
- 100%
- References
- 16
Authors
7Topics & keywords
- Computer science
- Beamforming
- MIMO
- Channel state information
- Transceiver
- Overhead (engineering)
- Electronic engineering
- Signal processing