A Statistical Linear Precoding Scheme Based on Random Iterative Method for Massive MIMO Systems

In this paper, the random iterative method is introduced to massive multiple-input multiple-output (MIMO) systems for the efficient downlink linear precoding. By adopting the random sampling into the traditional iterative methods, the matrix inversion within the linear precoding schemes can be appro...

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Veröffentlicht in:	IEEE transactions on wireless communications Jg. 21; H. 12; S. 10115 - 10129
Hauptverfasser:	Wang, Zheng, Gower, Robert M., Zhang, Cheng, Lyu, Shanxiang, Xia, Yili, Huang, Yongming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Approximation Complexity Complexity theory Convergence convergence analysis and enhancement Downlink Downlinking Iterative methods Jacobian matrices large-scale MIMO linear precoding low complexity Massive MIMO Mathematical analysis matrix inversion Optimization Precoding Random sampling Symmetric matrices
ISSN:	1536-1276, 1558-2248
Online-Zugang:	Volltext
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