Low-Complexity Hybrid Precoding for Multi-User MmWave Systems With Low-Resolution Phase Shifters

Large-scale antennas systems have been attracted significant attention to provide considerable array gains for millimeter wave (mmWave) communications systems. However, huge hardware complexity and power consumptions make the conventional precoding architectures impractical to realize. Recently, hyb...

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Veröffentlicht in:IEEE transactions on vehicular technology Jg. 68; H. 10; S. 9774 - 9784
Hauptverfasser: Dong, Fuwang, Wang, Wei, Wei, Zhenyu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.10.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Antennas
Array signal processing
Baseband
Beamforming
Communications systems
Complexity
Complexity theory
Computer simulation
hybrid precoder and combiner
Interference
low computational complexity
low-resolution phase shifters
Millimeter wave (mmWave) multi-user communications
Millimeter waves
multiple-input multiple-output (MIMO)
Performance enhancement
Phase shifters
Power consumption
Precoding
Principal components analysis
Radio frequency
Singular value decomposition
ISSN:0018-9545, 1939-9359
Online-Zugang:Volltext
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Zusammenfassung:Large-scale antennas systems have been attracted significant attention to provide considerable array gains for millimeter wave (mmWave) communications systems. However, huge hardware complexity and power consumptions make the conventional precoding architectures impractical to realize. Recently, hybrid precoding structures for mmWave communications systems are widely investigated to save the cost and achieve satisfactory performance. Unfortunately, most existing precoder designs lie in the assumption of infinite or high-resolution phase shifters (PSs), which are also difficult to realize in real-world. Motivated by this fact, a low complexity hybrid precoder and combiner design for multi-user systems with two-bit resolution PSs is proposed in this paper, which provides an appropriate trade-off between energy efficiency and system sum-rate. Specifically, the candidate sets for analog beamforming are constructed by introducing the auxiliary variables, in which the number of elements is the same as that of antennas. Accordingly, the computational complexity of searching optimal beamformer is significantly reduced over proposed codebooks. Then, to avoid high complexity singular value decomposition (SVD) of channel matrix, we propose a rank-1 approximate decomposition algorithm based-on principal component analysis technique. At last, the user scheduling algorithm is presented to further improve the performance in multiuser-scenario. Simulation results verified the effectiveness of the proposed algorithms, the performance of which is close to the optimal unquantized precoder.
Bibliographie:ObjectType-Article-1
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2019.2933058