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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2018 - 4

Low Complexity Hybrid Precoding for Broadband mmWave Massive MIMO Systems

HUANG, Y. See more information about HUANG, Y. on SCOPUS See more information about HUANG, Y. on IEEExplore See more information about HUANG, Y. on Web of Science, LIU, C. See more information about  LIU, C. on SCOPUS See more information about  LIU, C. on SCOPUS See more information about LIU, C. on Web of Science, SONG, Y. See more information about SONG, Y. on SCOPUS See more information about SONG, Y. on SCOPUS See more information about SONG, Y. on Web of Science
 
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Download PDF pdficon (1,199 KB) | Citation | Downloads: 1,065 | Views: 2,625

Author keywords
millimeter wave communication, MIMO, signal processing, wireless communication, wideband

References keywords
wave(10), precoding(10), millimeter(10), hybrid(10), communications(10), systems(8), signal(6), processing(6), mimo(6), heath(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-11-30
Volume 18, Issue 4, Year 2018, On page(s): 35 - 42
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.04004
Web of Science Accession Number: 000451843400004
SCOPUS ID: 85058804615

Abstract
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Hybrid precoding becomes a candidate for Millimeter wave (mmWave) massive MIMO (Multiple-Input and Multiple-Output) systems because it can extremely reduce power consumption and high costs. Most prior work considered hybrid precoding for narrowband systems. However, wideband systems with frequency selectivity are likely to be operated in the future. In broadband systems, a common analogue precoder is designed for the overall frequency band whereas different digital precoders are employed in different subcarriers. In this paper, we propose the hybrid precoding schemes for broadband mmWave massive MIMO systems. First, the hybrid single-user (SU) algorithm is proposed for a single-user system. The common analogue precoding matrix is derived from the Equal Gain Transmission (EGT) method and the digital precoding matrices for different subcarriers are employed based on directly water-filling technique. Second, the hybrid multi-user (MU) algorithm is proposed for a multi-user system. Gram-Schmidt orthogonalization is added in the analogue domain and zero-forcing (ZF) is utilized for digital precoders in order to nullify inter-user interference. Simulation results show that our proposed hybrid schemes with low complexity can almost reach the performance of fully digital precoding algorithm and outperform other hybrid algorithms.


References | Cited By  «-- Click to see who has cited this paper

[1] A. Alkhateeb, O. El Ayach, G. Leus, R. W. Heath, "Channel estimation and hybrid precoding for millimeter wave cellular system," IEEE J. Sel. Topics in Signal Processing, vol.11, no.3, pp.831-846, 2014.
[CrossRef] [Web of Science Times Cited 1769] [SCOPUS Times Cited 2043]


[2] P. Amadori, C. Masouros, "Low RF-complexity millimeter-wave beamspace-MIMO systems by beam selection," IEEE Trans. on Communications, vol.63, no. 6, pp. 2212-2222, 2015.
[CrossRef] [Web of Science Times Cited 243] [SCOPUS Times Cited 279]


[3] Omar El Ayach, Sridhar Rajagopal, Shadi Abu-Surra, Zhouyue Pi, Robert W. Heath, "Spatially sparse precoding in millimeter wave MIMO systems," IEEE Trans. on Wireless Communications, vol.13, no.3, pp. 1499-1513, 2014.
[CrossRef] [Web of Science Times Cited 2442] [SCOPUS Times Cited 2919]


[4] A. Alkhateeb, G. Leus, R. W. Heath, "Limited feedback hybrid precoding for multi-user millimeter wave systems," IEEE Trans. on Wireless Communications, vol.14, no.11, pp. 6481-6494, 2015.
[CrossRef] [Web of Science Times Cited 830] [SCOPUS Times Cited 992]


[5] F. Sohrabi, W. Yu, "Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays," IEEE J. Sel. Topics in Signal Processing, vol.10, no.3, pp. 501-513, 2016.
[CrossRef] [Web of Science Times Cited 958] [SCOPUS Times Cited 1136]


[6] F. Sohrabi, W. Yu, "Hybrid Analog and Digital Beamforming for mmWave OFDM Large-Scale Antenna Arrays," IEEE J. Sel. Areas in Communications, vol.35, no.7, pp. 1432-1443, 2017.
[CrossRef] [Web of Science Times Cited 291] [SCOPUS Times Cited 332]


[7] Ahmed Alkhateeb, Robert W. Heath, "Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems," IEEE Trans. on Communications, vol. 64, no. 5, pp. 1801-1818, 2016.
[CrossRef] [Web of Science Times Cited 396] [SCOPUS Times Cited 453]


[8] Chandra R. Murthy, Bhaskar D. Rao, "Quantization Methods for Equal Gain Transmission with Finite Rate Feedback," IEEE Trans. on Signal Processing, vol.55, no.1, pp. 233-245, 2007.
[CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 52]


[9] Hichan Moon, "Waterfilling Power Allocation at High SNR Regimes," IEEE Trans. on Communications, vol. 59, no.3, pp. 708 - 715, 2011.
[CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 17]


[10] Jun Chen, Chao Tian and etc, "Multiple Description Quantization Via Gram-Schmidt Orthogonalization," IEEE Trans. on Information Theory, vol. 52, no.12, pp: 5197-5217, 2006.
[CrossRef] [Web of Science Times Cited 48] [SCOPUS Times Cited 54]


[11] Thuy M. Pham, Ronan Farrell, John Dooley, Eryk Dutkiewicz, Diep N. Nguyen, Le-Nam Tran, "Efficient Zero-forcing Precoder Design for Weighted Sum-rate Maximization with Per-antenna Power Constraint," IEEE Trans. on Vehicular Technology, vol.67, no.4, pp. 3640- 3645,2017.
[CrossRef] [Web of Science Times Cited 20] [SCOPUS Times Cited 19]


[12] Z. Gao,L. Dai, C. Hu, and Z. Wang, "Channel estimation for millimeter-Wave massive MIMO with hybrid precoding over frequency-selective fading channels," IEEE Communications Letters, vol. 20, no. 6, pp. 1259-1262, 2016.
[CrossRef] [Web of Science Times Cited 248] [SCOPUS Times Cited 280]


[13] Xianghao Yu, Juei-Chin Shen, Jun Zhang, Khaled B. Letaief, "Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO Systems," IEEE J. Sel. Topics in Signal Processing, vol.10, no.3, pp. 485-500, 2016.
[CrossRef] [Web of Science Times Cited 919] [SCOPUS Times Cited 1077]


[14] Chang-Shen Lee, Wei-Ho Chung, "Max-Min Hybrid Precoding in Millimeter Wave Cooperative MISO Systems," Proc. Int. Conf. IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May. 2016, pp. 1-6.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 6]


[15] Shiwen He, Jiaheng Wang, Yongming Huang, Björn Ottersten, Wei Hong, "Codebook-Based Hybrid Precoding for Millimeter Wave Multiuser Systems," IEEE Trans. on Signal Processing, vol.65, no.20, pp.5289 - 5304, 2017.
[CrossRef] [Web of Science Times Cited 138] [SCOPUS Times Cited 151]


[16] Shajahan Kutty, Debarati Sen, "Beamforming for Millimeter Wave Communications: An Inclusive Survey," IEEE Communications Surveys & Tutorials, vol.18, no.2, pp. 949 - 973, 2016.
[CrossRef] [Web of Science Times Cited 430] [SCOPUS Times Cited 530]


[17] Hussein Seleem, Ahmed Iyanda Sulyman, Abdullhameed Alsanie, "Hybrid Precoding-Beamforming Design with Hadamard RF Codebook for mmWave Large-Scale MIMO Systems," IEEE Access, vol. 5, pp.6813 - 6823, 2017.
[CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 56]


[18] D. Tse and P. Viswanath, Fundamentals of Wireless Communication. Cambridge University Press, pp.300-311, 2005.

[19] J. Choi, B. Mondal, and R. Heath, "Interpolation based unitary precoding for spatial multiplexing MIMO-OFDM with limited feedback," IEEE Trans. on Signal Processing, vol.54, no.12, pp. 4730-4740, 2006.
[CrossRef] [Web of Science Times Cited 63] [SCOPUS Times Cited 86]


[20] J. Tropp, I. Dhillon, R. Heath, and T. Strohmer, "Designing structured tight frames via an alternating projection method," IEEE Trans. on Information Theory, vol.51, no.1, pp. 188-209, 2005.
[CrossRef] [Web of Science Times Cited 347] [SCOPUS Times Cited 423]




References Weight

Web of Science® Citations for all references: 9,279 TCR
SCOPUS® Citations for all references: 10,905 TCR

Web of Science® Average Citations per reference: 442 ACR
SCOPUS® Average Citations per reference: 519 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-11-19 16:22 in 133 seconds.




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