Joint Design of Analog and Digital Codebooks for Hybrid Precoding in Millimeter Wave Massive MIMO Systems

Hybrid precoding has been regarded as a promising technology for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems due to the low hardware cost and power consumption. This paper focuses on digital and analog codebooks design to efficiently quantize the hybrid precoders w...

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Veröffentlicht in:	IEEE access Jg. 6; S. 69818 - 69825
Hauptverfasser:	Liu, Xuefeng, Zou, Weixia, Chen, Sixuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Antenna arrays Data transmission Design optimization dictionary learning enhanced codebooks Frequency division duplexing Hybrid systems Iterative algorithms jointly sparse precoding low-resolution phase shifters Machine learning massive MIMO Matching pursuit algorithms Millimeter wave Millimeter waves MIMO (control systems) MIMO communication Phase shifters Power consumption Precoding Radio frequency Scattering
ISSN:	2169-3536, 2169-3536
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Abstract	Hybrid precoding has been regarded as a promising technology for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems due to the low hardware cost and power consumption. This paper focuses on digital and analog codebooks design to efficiently quantize the hybrid precoders with arbitrary-resolution analog phase shifters in frequency-division duplex systems. We formulate the codebooks design as a joint optimization problem and propose an iteration algorithm to obtain the enhanced codebooks based on dictionary learning methods. Moreover, this paper shows that the optimal precoders for all data streams exhibit a hidden joint sparsity structure caused by the limited number of scattering clusters with low angular spreads of mmWave MIMO channels. Exploiting the structure, a jointly sparse precoding is proposed as the pursuit method for the proposed codebooks design algorithm. The simulation results demonstrate that the near-optimal performance can be achieved by the joint utilization of the proposed hybrid precoding algorithm and codebooks even when the low-resolution phase shifters are used.
AbstractList	Hybrid precoding has been regarded as a promising technology for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems due to the low hardware cost and power consumption. This paper focuses on digital and analog codebooks design to efficiently quantize the hybrid precoders with arbitrary-resolution analog phase shifters in frequency-division duplex systems. We formulate the codebooks design as a joint optimization problem and propose an iteration algorithm to obtain the enhanced codebooks based on dictionary learning methods. Moreover, this paper shows that the optimal precoders for all data streams exhibit a hidden joint sparsity structure caused by the limited number of scattering clusters with low angular spreads of mmWave MIMO channels. Exploiting the structure, a jointly sparse precoding is proposed as the pursuit method for the proposed codebooks design algorithm. The simulation results demonstrate that the near-optimal performance can be achieved by the joint utilization of the proposed hybrid precoding algorithm and codebooks even when the low-resolution phase shifters are used.
Author	Liu, Xuefeng Zou, Weixia Chen, Sixuan
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SubjectTerms	Algorithms Antenna arrays Data transmission Design optimization dictionary learning enhanced codebooks Frequency division duplexing Hybrid systems Iterative algorithms jointly sparse precoding low-resolution phase shifters Machine learning massive MIMO Matching pursuit algorithms Millimeter wave Millimeter waves MIMO (control systems) MIMO communication Phase shifters Power consumption Precoding Radio frequency Scattering
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Title	Joint Design of Analog and Digital Codebooks for Hybrid Precoding in Millimeter Wave Massive MIMO Systems
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