Abstract
For the poor transmission reliability of data, this paper focuses on the precoding techniques of the multi-user MIMO system in the broadcast phase in, and the single-user MIMO and multi-user MIMO precoding techniques have been studied. In the multi-user MIMO system, BD-MMSE-VP coding algorithm is proposed to improve the BER performance of the system by using the MMSE criterion to optimize the perturbation vector, and the system uses QR technique to decompose BD channel matrix. Simulation results verify the effective of the proposed precoding algorithm.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zheng, K., Zhao, L., Mei, J., Shao, B., Xiang, W., Hanzo, L.: Survey of large-scale MIMO systems. IEEE Commun. Surv. Tutorials 17(3), 1738–1760 (2015)
Gao, X., Dai, L., Ma, Y., et al.: Low-complexity near-optimal signal detection for uplink large-scale MIMO systems. Electron. Lett. 50(18), 1326–1328 (2015)
Lu, L., Li, G., Swindlehurst, A., Ashikhmin, A., Zhang, R.: An overview of massive MIMO: benefits and challenges. IEEE J. Sel. Top. Sig. Process 8(5), 742–758 (2014)
Feng, W., Wang, Y.M., Ge, N., Lu, J.H., Zhang, J.S.: Virtual MIMO in multi cell distributed antenna systems: coordinated transmissions with large-scale CSIT. IEEE J. Sel. Areas Commun. 31(10), 2067–2081 (2013)
Stankovic, V., Haardt, M.: Generalized design of multi-user MIMO precoding matrices. IEEE Trans. Wireless Commun. 7(3), 953–961 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Wang, G., Li, S. (2018). Research on the Pre-coding Technology of Broadcast Stage in Multi-user MIMO System. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73564-1_72
Download citation
DOI: https://doi.org/10.1007/978-3-319-73564-1_72
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73563-4
Online ISBN: 978-3-319-73564-1
eBook Packages: Computer ScienceComputer Science (R0)