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A non-Linear MIMO-OFDM Preprocessor for non-Gaussian Channels

Authors:
Danilo Pena
Thais Areias
Luan Pena
Juliano Bazzo

Keywords: Impulsive noise; sigmoid function; non-linear preprocessor; non-linear MIMO.

Abstract:
Multiple-Input and Multiple-Output (MIMO) and Orthogonal Frequency-Division Multiplexing (OFDM) are crucial technologies inside the 5G mobile communication systems and beyond. Design and evaluation of detector techniques over realistic channel conditions are essential in order to transmit signals at high rates and with high reliability in such technologies. In this paper, we present the evaluation of MIMO-OFDM preprocessors over non-Gaussian impulsive noise. Also, we propose a non-linear sigmoid preprocessor without a threshold parameter as an alternative to the traditional preprocessors. The simulation results show that the Symbol Error Rate (SER) performance depends on not only the preprocessors used and their thresholds but also the impulsiveness level in the noise.

Pages: 32 to 35

Copyright: Copyright (c) IARIA, 2021

Publication date: April 18, 2021

Published in: conference

ISSN: 2308-3964

ISBN: 978-1-61208-835-8

Location: Porto, Portugal

Dates: from April 18, 2021 to April 22, 2021