Abstract
Massive multiple input multiple output (MIMO) technology and millimeter wave (mmWave) system, as the key technologies of the new generation of mobile communications, can effectively increase channel capacity and relieve spectrum resources. Because the mmWave has a short wavelength, the transceiver can be composed of a large antenna array to reduce severe signals attenuation. Furthermore, the use of hybrid precoding technology can improve system performance and reduce system hardware complexity. The classic hybrid precoding algorithm that based on simultaneous orthogonal matching pursuit (SOMP) requires matrix inversion, which leads to high complexity, and its performance depends on the accuracy of channel estimation. In this paper, by modeling the mmWave MIMO system, we compare three improved algorithms, which are orthogonality based matching pursuit algorithm (OBMP), matrix-inversion-bypass simultaneous orthogonal matching pursuit algorithm (MIB-SOMP) and residual matrix-singular value decomposition algorithm (RM-SVD). We analyze the performance of the algorithms, such as complexity, spectrum efficiency, bit error rate, as well as the advantages and disadvantages of the algorithms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Huang, H., Liu, K.P., Wen, R.: Joint channel estimation and beamforming for millimeter wave cellular system. In: IEEE Global Communications Conference, San Diego (2015)
Doan, C.H., Emami, S., Sobel, D.A., Niknejad, A.M.: Design considerations for 60 GHz CMOS radios. IEEE Commun. Mag. 42, 132–140 (2004)
Vu, M., Paulraj, A.: MIMO wireless linear precoding. IEEE Signal Process. Mag. 24, 86–105 (2007)
Marzetta, T.L.: Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans. Wirel. Commun. 9(11), 3590–3600 (2010)
Ayach, O.E., Rajagopal, S., Abu-Surra, S.: Spatially sparse precoding in millimeter wave MIMO systems. IEEE Trans. Wirel. Commun. 13(3), 1499–1513 (2014)
**ang, J.W., Yu, X.L., **g, X.R.: Low complexity hybrid precoding method in mmWave massive MIMO system. Telecommun. Sci. 32(09), 10–15 (2016)
Chen, C.H., Tsai, C.R., Liu, Y.H.: Compressive sensing assisted low-complexity beamspace hybrid precoding for millimeter-wave MIMO systems. IEEE Trans. Signal Process. 65(6), 1412–1424 (2017)
Lee, Y.Y., Wang, C.H.: 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 (2015)
Ayach, O.E., Heath, R.W., Abu-Surra, S.: Low complexity precoding for large millimeter wave MIMO systems. In: IEEE International Conference Communications (ICC), pp. 3724–3729 (2012)
Alkhateeb, A., El Ayach, O., Leus, G., Heath, R.W.: Heath: Hybrid precoding for millimeter wave cellular systems with partial channel knowledge. In: Information Theory and Applications Workshop (ITA), San Diego, CA, USA (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Jiang, M., Zhang, J., Zhao, H. (2022). Low Complexity Hybrid Precoding for Millimeter Wave MIMO Systems. In: Guo, Q., Meng, W., Jia, M., Wang, X. (eds) Wireless and Satellite Systems. WiSATS 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 410. Springer, Cham. https://doi.org/10.1007/978-3-030-93398-2_40
Download citation
DOI: https://doi.org/10.1007/978-3-030-93398-2_40
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-93397-5
Online ISBN: 978-3-030-93398-2
eBook Packages: Computer ScienceComputer Science (R0)