Hybrid precoding using long-term channel statistics for massive MIMO systems

Hybrid analog/digital precoding in the downlink of multiuser massive MIMO systems can reduce the number of RF chains hence reducing total cost and improving power efficiency. Having few RF chains, however, makes it difficult for a base station to acquire instantaneous channel state information acros...

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Bibliographic Details
Published in:Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 3449 - 3453
Main Authors: Sungwoo Park, Jeonghun Park, Heath, Robert W., Yazdan, Ali
Format: Conference Proceeding
Language:English
Published: IEEE 01.03.2017
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ISSN:2379-190X
Online Access:Get full text
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Summary:Hybrid analog/digital precoding in the downlink of multiuser massive MIMO systems can reduce the number of RF chains hence reducing total cost and improving power efficiency. Having few RF chains, however, makes it difficult for a base station to acquire instantaneous channel state information across all antennas. We develop a hybrid technique that uses only long-term (slowly changing) channel statistics in computing the analog precoding matrix. The proposed analog precoder is designed to maximize signal-to-leakage-plus-noise ratio (SLNR) when combined with a baseband precoder. We also propose a constrained precoder design that reduces the effect of a hardware constraint where the analog precoders are realized with phase shifters.
ISSN:2379-190X
DOI:10.1109/ICASSP.2017.7952797