Development of a Modified Newton Iteration Algorithm for massive MIMO systems with precoding and its study in MATLAB environment

Author:

Glushankov E,Boyko I,Kirik D,Korovin K

Abstract

Abstract The aim of this work is to create an iterative precoding algorithm with a higher convergence rate compared to known algorithms. This paper considers the task of antenna system pattern formation using linear precoding for massive MIMO systems, including precoders with approximate matrix inversion methods, such as the use of the Newton Iteration Algorithm. A variant of the Modified Newton Iteration Algorithm with a variable adaptation step is also proposed. A mathematical description of signal processing in the downlink model for massive MIMO systems is given, as well as linear precoding procedures. The convergence of the algorithm has been analyzed from the initial parameters determining the adaptation step, from the number of user equipment served, as well as the angle of user equipment position.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference16 articles.

1. Overview of precoding techniques for massive MIMO;Albreem;IEEE Access,2021

2. Effective precoding and demodulation techniques for 5G communication systems Moscow 2018;Kreyndelin;Systems of Signals Generating and Processing in the Field of on Board Communications,2018

3. Spatial modulation for generalized MIMO: challenges, opportunities, and implementation;Renzo;Proceedings of the IEEE,2014

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