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Wireless Networks
Erschienen in: Wireless Networks 2/2020

12.11.2019

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

verfasst von: Rongling Jian, Yueyun Chen, Zhan Liu, Yanqing Xia

Erschienen in: Wireless Networks | Ausgabe 2/2020

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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.
Vorheriger Artikel Modified zone based intrusion detection system for security enhancement in mobile ad hoc networks
Nächster Artikel Secrecy and throughput performance of an energy harvesting hybrid cognitive radio network with spectrum sensing

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Metadaten
Titel
Hybrid precoding for multiuser massive MIMO systems based on MMSE-PSO
verfasst von
Rongling Jian
Yueyun Chen
Zhan Liu
Yanqing Xia
Publikationsdatum
12.11.2019
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 2/2020
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-019-02187-0

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