A Low Complexity Signal Detection Scheme Based on Improved Newton Iteration for Massive MIMO Systems

Massive multiple-input multiple-output (MIMO) systems need to handle a large number of matrix inversion operations during the signal detection process. Several methods have been proposed to avoid exact matrix inversion in massive MIMO systems, which can be roughly divided into approximation methods...

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Veröffentlicht in:	IEEE communications letters Jg. 23; H. 4; S. 748 - 751
Hauptverfasser:	Jin, Fangli, Liu, Qiufeng, Liu, Hao, Wu, Peng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Approximation Complexity Complexity theory Computer simulation Convergence Estimation Iterative methods Jacobian matrices Massive MIMO Mathematical analysis Matrix algebra matrix inversion Matrix methods Methods MIMO (control systems) MIMO communication Neumann series Newton iteration Newton method Newton methods Series expansion Signal detection Signal processing
ISSN:	1089-7798, 1558-2558
Online-Zugang:	Volltext
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