Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems

Millimeter wave (mmWave) communications has been regarded as a key enabling technology for 5G networks, as it offers orders of magnitude greater spectrum than current cellular bands. In contrast to conventional multiple-input-multiple-output (MIMO) systems, precoding in mmWave MIMO cannot be perform...

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Vydáno v:IEEE journal of selected topics in signal processing Ročník 10; číslo 3; s. 485 - 500
Hlavní autoři: Yu, Xianghao, Shen, Juei-Chin, Zhang, Jun, Letaief, Khaled B.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.04.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithm design and analysis
Algorithms
Alternating minimization
Antennas
Computer simulation
Design engineering
Digital
hybrid precoding
low-complexity
manifold optimization
millimeter wave communications
Millimeter waves
MIMO
MIMO (control systems)
Minimization
Optimization
Radio frequency
semidefinite relaxation
Signal processing algorithms
low-complexity
millimeter wave communications
semidefinite relaxation
Alternating minimization
manifold optimization
hybrid precoding
ISSN:1932-4553, 1941-0484
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Shrnutí:Millimeter wave (mmWave) communications has been regarded as a key enabling technology for 5G networks, as it offers orders of magnitude greater spectrum than current cellular bands. 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 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 fully-connected and partially-connected structures. In particular, for the fully-connected structure, an AltMin algorithm based on manifold optimization is proposed to approach the performance of the fully digital precoder, which, however, has a high complexity. Thus, a low-complexity AltMin algorithm is then proposed, by enforcing an orthogonal constraint on the digital precoder. Furthermore, for the partially-connected structure, an AltMin algorithm is also developed with the help of semidefinite relaxation. For practical implementation, the proposed AltMin algorithms are further extended to the broadband setting with orthogonal frequency division multiplexing modulation. Simulation results will demonstrate significant performance gains of the proposed AltMin algorithms over existing hybrid precoding algorithms. Moreover, based on the proposed algorithms, simulation comparisons between the two hybrid precoding structures will provide valuable design insights.
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ISSN:1932-4553
1941-0484
DOI:10.1109/JSTSP.2016.2523903