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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on wireless communications Vol. 21; no. 12; pp. 10115 - 10129
Main Authors:	Wang, Zheng, Gower, Robert M., Zhang, Cheng, Lyu, Shanxiang, Xia, Yili, Huang, Yongming
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!