Hybrid RZF Precoding Algorithm for Massive MIMO System

Authors

Bin Xie, School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China;
Shumin Xie, School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China;
Shurui Liu, School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China;

Abstract

Abstract: In view of the high system complexity and high cost of the multi-user Massive MIMO system based on the traditional full digital precoding, a hybrid analog and digital RZF precoding is proposed. Based on the consideration of the channel noise, the inter-user interference and the system structure, the analog precoding matrix is sectionally designed with the combination of MRT precoding and RZF precoding, and for the digital part, a low dimension RZF precoding is used on the basis of the optimized channel matrix. After the optimization design, both the number of RF chain and the dimension of the digital baseband processing are reduced. According to the simulation results, based on the reduction of system complexity and implementation cost, the spectrum efficiency of the proposed hybrid RZF precoding algorithm is very close to that of the traditional full digital RZF precoding.

Recommended Citation

Xie, Bin; Xie, Shumin; and Liu, Shurui (2020) "Hybrid RZF Precoding Algorithm for Massive MIMO System," Journal of System Simulation: Vol. 29: Iss. 12, Article 24.
DOI: 10.16182/j.issn1004731x.joss.201712024
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss12/24

First Page

3114

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201712024

Last Page

3122

CLC

TN929.5

Recommended Citation

Xie Bin, Xie Shumin, Liu Shurui. Hybrid RZF Precoding Algorithm for Massive MIMO System[J]. Journal of System Simulation, 2017, 29(12): 3114-3122.

DOI

10.16182/j.issn1004731x.joss.201712024