Hybrid Precoding via Successive Refinement for Millimeter Wave MIMO Communication Systems

We propose a hybrid precoding design for spatial multiplexing in millimeter wave massive multiple-input multiple-output systems. The proposed design relies on the popular orthogonal matching pursuit (OMP) algorithm. The OMP algorithm uses necessary columns of the right/left (for receiver/transmitter...

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Veröffentlicht in:IEEE communications letters Jg. 21; H. 5; S. 991 - 994
Hauptverfasser: Mirza, Jawad, Ali, Bakhtiar, Saud Naqvi, Syed, Saleem, Saqib
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2017
Schlagworte:
Algorithm design and analysis
Baseband
hybrid beamforming
limited feedback
Matching pursuit algorithms
MIMO
Precoding
Radio frequency
Transmitters
ISSN:1089-7798
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Zusammenfassung:We propose a hybrid precoding design for spatial multiplexing in millimeter wave massive multiple-input multiple-output systems. The proposed design relies on the popular orthogonal matching pursuit (OMP) algorithm. The OMP algorithm uses necessary columns of the right/left (for receiver/transmitter) unitary matrix of the channel (obtained via a singular value decomposition) to obtain the initial baseband (digital) precoder using principles of basis pursuit. The resulting baseband precoder is then used to refine the RF (analog) precoder. This iterative refinement improves the quality of hybrid preocders. Quantization of the RF and baseband precoding matrices is also discussed for limited feedback systems, where the high-dimensional RF precoder is quantized using codebooks generated using the <inline-formula> <tex-math notation="LaTeX">K- </tex-math></inline-formula>means clustering algorithm. On the other hand, the low-dimensional baseband precoder is quantized using well-known Grassmannian codebooks. Simulation results show that the proposed scheme performs close to the fully digital precoding scheme.
ISSN:1089-7798
DOI:10.1109/LCOMM.2017.2655514