TL;DR
This paper introduces effective alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems, addressing the design challenges for fully-connected and partially-connected structures with practical broadband extensions.
Contribution
It proposes novel AltMin algorithms for hybrid precoding, including manifold optimization and semidefinite relaxation, with extensions to broadband OFDM systems.
Findings
Significant performance gains over existing algorithms
Approaching digital precoder performance with low complexity
Insights into hybrid precoding structure design
Abstract
Millimeter wave (mmWave) communications has been regarded as a key enabling technology for 5G networks. In contrast to conventional multiple-input-multiple-output (MIMO) systems, precoding in mmWave MIMO cannot be performed entirely at baseband using digital precoders, as only a limited number of signal mixers and analog-to-digital converters (ADCs) can be supported considering their cost and power consumption. As a cost-effective alternative, a hybrid precoding transceiver architecture, combining a digital precoder and an analog precoder, has recently received considerable attention. However, the optimal design of such hybrid precoders has not been fully understood. In this paper, treating the hybrid precoder design as a matrix factorization problem, effective alternating minimization (AltMin) algorithms will be proposed for two different hybrid precoding structures, i.e., the…
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