Welcome to Francis Academic Press

The Frontiers of Society, Science and Technology, 2020, 2(12); doi: 10.25236/FSST.2020.021204.

Low Complexity Hybrid Beamforming Methods for Single-User Millimeter Wave Mimo Systems


Heyu Wang1, Shenghao Li2, Chengfeng Li3, Zhaojian Wang4, Haotai Peng5

Corresponding Author:
Heyu Wang

1 Sino-German Academy, East China University of Science and Technology, Shanghai 200237, China

2 Information Science and Engineering Department, Harbin Institute of Technology (Weihai), Weihai 264200, China

3 School of Electronic Information and Communication, Huazhong University of Science and Technology, Wuhan 430074, China

4 School of Telecommunications Engineering, Xidian University, Xi'an 710126, China

5 Guangdong Shunde Desheng School International (Dsi), Shunde 528300, China


Millimeter wave communication is an attractive new research area due to specilization for high symbol rate wireless system and increasingly serious spectrum congestion. The benefits of mmWave communication system include realizing high speed, low latency data transmission, offering higher bandwidth communication channels and so on. However, the signal processing is so different compared with low-frequency propagation, such as larger penetration losses, limited transmission range and lower diffraction in front of obstacles. To solve these problems mentioned, beamforming has been proposed. In this paper, multiple precoding implementations are introduced including full-digital as well as the hybrid one under the single-user condition. First, a digital system is constructed while the signal is processed using zero-forcing-Serial Interference Cancellation criterion (ZF-SIC) and Minimum Mean Square Error (MMSE)-Serial Interference Cancellation criterion (MMSE-SIC) respectively. Then, two hybrid beamforming (HBF) algorithms based on different criteria are introduced. We utilize the spatial structure of the millimeter wave channel to formulate the precoding/combining problem as a sparse re-construction problem and this hybrid precoding algorithm is applied to approach optimal unconstrained precoders and combiners. Subsequently, an energy efficient HBF method with sub-connected architecture is investigated, which is able to reduce the energy consumption and computation complexity.' The results of all the algorithms are compared and the performance of different precoding methods is presented in terms of spectral efficiency and Signal to Noise Ratio (SNR).


Hybrid beamforming, Millimeter waves, Mimo system, Spatially sparse precoding, Energy efficiency

Cite This Paper

Heyu Wang, Shenghao Li, Chengfeng Li, Zhaojian Wang, Haotai Peng. Low Complexity Hybrid Beamforming Methods for Single-User Millimeter Wave Mimo Systems. The Frontiers of Society, Science and Technology (2020) Vol. 2 Issue 12: 16-29. https://doi.org/10.25236/FSST.2020.021204.


[1] Lin, T., Cong, J., Zhu, Y., Zhang, J., et al (2019). Hybrid beamforming for millime-Ter wave systems using the mmse criterion. IEEE Transactions on Communications, vol.67, no.5, pp. 3693-3708.

[2] El Ayach, O., Rajagopal, S., Abu-Surra, S., Pi, et al (2014). Spatially sparse precoding in millimeter wave mimo systems. IEEE transactions on wireless communications, vol.13, no.3, pp.1499-1513

[3] Heath, R. W., Gonzalez-Prelcic, N., Rangan, et al (2016). An overview of signal processing techniques for millimeter wave mimo systems. IEEE journal of selected topics in signal processing, vol.10, no.3, pp.436-453.

[4] Sampath, H., Stoica, P., Paulraj, A (2001). Generalized linear precoder and decoder design for mimo channels using the weighted mmse criterion. IEEE Transactions on Communications, vol.49, no.12, pp.2198-2206.

[5] 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 Communications Magazine, vol.53, no.1, pp.186-194.

[6] Tropp, J. A (2004). Greed is good: Algorithmic results for sparse approximation. IEEE Transac-tions on Information theory, vol.50, no.10, pp.2231-2242.

[7] Kailath, T., Sayed, A. H., Hassibi, B (2000). Linear estimation (No. BOOK). Prentice Hall.

[8] Gao, X., Dai, L., Han, S., Chih-Lin, I, et al (2016). Energy-efficient hybrid analog and digital precoding for mmwave mimo systems with large antenna arrays. IEEE Journal on Selected Areas in Communications, vol.34, no.4, pp.998-1009.