Abstract
Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) has been regarded as an attractive solution for the next generation of communications. Restricted by the hardware and energy consumption, a hybrid analog and digital precoding structure is widely adopted. However, high-computational complexity is the fundamental restrictions of the most existing hybrid precoding schemes. To overcome these limitations, this paper proposes a high-performance hybrid precoding algorithm for partially-connected mmWave MIMO systems. Due to the special partially-connected structure, we decompose the analog precoding problem into a series of optimization problems. For each subproblem, we use the method of phase extraction to optimize one column of analog precoding matrix. Then the digital precoding matrix is obtained based on the least square algorithm. Simulation results verify that the proposed algorithm outperforms the existing ones.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Huang H, Song Y, Yang J, Gui G, Adachi F (2019) Deep-learning-based millimeter-wave massive MIMO for hybrid precoding. IEEE Trans Veh Technol 68(3):3027–3032
Xiao M, Mumtaz S, Huang Y, Dai L, Li Y, Matthaiou M, Karagiannidis GK, Björnson E, Yang K, Chih-Lin I, Ghosh A (2017) Millimeter wave communications for future mobile networks. IEEE J Sel Areas Commun 35(9):1909–1935
Heath RW, González-Prelcic N, Rangan S, Roh W, Sayeed AM (2016) An overview of signal processing techniques for millimeter wave MIMO systems. IEEE J Sel Top Signal Process 10(3):436–453
Chen K, Qi C (2019) Beam training based on dynamic hierarchical codebook for millimeter wave massive MIMO. IEEE Commun Lett 23(1):132–135
Han S, Chih-Lin I, Xu Z, Rowell C (2015) Large-scale antenna systems with hybrid analog and digital beamforming for millimeter wave 5G. IEEE Commun Mag 53(1):186–194
Molisch AF, Ratnam VV, Han S, Li Z, Nguyen SLH, Li L, Haneda K (2017) Hybrid beamforming for massive MIMO: A survey. IEEE Commun Mag 55(9):134–141
Ayach OE, Rajagopal S, Abu-Surra S, Pi Z, Heath RW (2014) Spatially sparse precoding in millimeter wave MIMO systems. IEEE Trans Wireless Commun 13(3):1499–1513
Lee Y, Wang C, Huang Y (2015) A hybrid RF/baseband precoding processor based on parallel-index-selection matrix-inversion-bypass simultaneous orthogonal matching pursuit for millimeter wave MIMO systems. IEEE Trans Signal Process 63(2):305–317
Yu X, Shen J, Zhang J, Letaief KB (2016) Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems. IEEE J Sel Top Signal Process 10(3):485–500
Gao X, Dai L, Han S, Chih-Lin I, Heath RW (2016) Energy-efficient hybrid analog and digital precoding for mmwave MIMO systems with large antenna arrays. IEEE J Sel Areas Commun 34(4):998–1009
Du J, Xu W, Shen H, Dong X, Zhao C (2018) Hybrid precoding architecture for massive multiuser MIMO with dissipation: Sub-connected or fully connected structures? IEEE Trans Wireless Commun 17(8):5465–5479
González-Coma JP, Rodríguez-Fernández J, González-Prelcic N, Castedo L, Heath RW (2018) Channel estimation and hybrid precoding for frequency selective multiuser mmwave MIMO systems. IEEE J Sel Top Signal Process 12(2):353–367
Akdeniz MR, Liu Y, Samimi MK, Sun S, Rangan S, Rappaport TS, Erkip E (2014) Millimeter wave channel modeling and cellular capacity evaluation. IEEE J Sel Areas Commun 32(6):1164–1179
Zhang D, Wang Y, Li X, Xiang W (2018) Hybridly connected structure for hybrid beamforming in mmwave massive MIMO systems. IEEE Trans Commun 66(2):662–674
Acknowledgements
This work was supported by NSFC (No. 61571055), fund of SKL of MMW (No. K201815), Important National Science & Technology Specific Projects (2017ZX03001028).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Cui, M., Zou, W., Zhang, R. (2020). Hybrid Precoding Based on Phase Extraction for Partially-Connected mmWave MIMO Systems. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_23
Download citation
DOI: https://doi.org/10.1007/978-981-13-9409-6_23
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9408-9
Online ISBN: 978-981-13-9409-6
eBook Packages: EngineeringEngineering (R0)