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Hybrid precoding for multiuser massive MIMO systems based on MMSE-PSO

  • Rongling Jian
  • Yueyun ChenEmail author
  • Zhan Liu
  • Yanqing Xia
Article
  • 63 Downloads

Abstract

Hybrid Precoding has been adopted as a promising technology for 5th generation wireless communication systems. In this paper, we propose a hybrid precoding scheme based on minimum mean square error (MMSE) and particle swarm optimization (PSO) for multiuser massive multiple-input multiple-output systems. The closed-form solutions of baseband precoding and the combiner are solved by convex optimization method. Meanwhile, the MMSE between the transmitted signal and the received signal is considered as an objective function of PSO, and the radio frequency precoding is obtained by updating the global optimal positions of the particles. The simulation results show that the proposed hybrid MMSE-PSO precoding significantly improves achievable rate and the system reliability.

Keywords

Massive multiple-input multiple-output (Massive MIMO) Hybrid precoding Mean square error (MSE) Particle swarm optimization (PSO) 

Notes

Acknowledgements

This work was supported by National Science and Technology Major Project No. 2017ZX03001021-005.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.University of Science and Technology BeijingBeijingChina

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