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Performance Evaluation of MIMO Detectors Over Impulsive Noise

Authors:
Danilo Pena
José Juajinoy
Thais Areias
Juliano Bazzo

Keywords: Impulsive noise, non-gaussian model, alphastable distribution, GMM.

Abstract:
Multiple-Input and Multiple-Output (MIMO) is expected to be one of the most crucial technologies towards the 5G mobile communication systems and beyond. The understanding of the performance and limits of MIMO detectors is essential in order to transmit signals at high rates and with high reliability. In this paper, we present an evaluation of MIMO detectors over non-gaussian impulsive noise. The traditional MIMO detectors are designed assuming noise modeled as gaussian second-order statistics. However, many works have presented non-gaussian impulsive noise in different MIMO scenarios degrading the detector performance. Also, we investigate an alternative to symmetric -stable distribution to model impulsive noise called the gaussian mixture model. The simulation results show that the Symbol Error Rate (SER) performance depends on not only the quality of the signal but also the impulsiveness level of the noise.

Pages: 5 to 10

Copyright: Copyright (c) IARIA, 2021

Publication date: May 30, 2021

Published in: conference

ISSN: 2308-4030

ISBN: 978-1-61208-860-0

Location: Valencia, Spain

Dates: from May 30, 2021 to June 3, 2021