On the assessment of nonlinear distortion effects in MIMO-OFDM systems

Joao Guerreiro; Rui Dinis; Paulo Miguel de Araújo Borges Montezuma de Carvalho

doi:10.1109/VTCSpring.2016.7504376

On the assessment of nonlinear distortion effects in MIMO-OFDM systems

Joao Guerreiro, Rui Dinis, Paulo Miguel de Araújo Borges Montezuma de Carvalho

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Multiple input multiple output (MIMO) schemes combined with orthogonal frequency division multiplexing (OFDM) modulations are widely employed in broadband wireless systems. However, the transmitted signals are prone to nonlinear distortion effects due to their high envelope fluctuations. In this paper, we present a simple analytical method for studying nonlinear effects in MIMO-OFDM systems. Our method allows accurate results for the power spectral density (PSD) of the transmitted signals, as well as the signal- to- interference (SIR) levels at the detection level. It is shown that the robustness to nonlinear distortion effects increases with the number of transmit antennas (for a fixed number of independent data streams).

Original language	English
Title of host publication	2016 IEEE 83rd Vehicular Technology Conference, VTC Spring 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Volume	2016-July
ISBN (Electronic)	9781509016983
DOIs	https://doi.org/10.1109/VTCSpring.2016.7504376
Publication status	Published - 5 Jul 2016
Event	83rd IEEE Vehicular Technology Conference, VTC Spring 2016 - Nanjing, China Duration: 15 May 2016 → 18 May 2016

Conference

Conference	83rd IEEE Vehicular Technology Conference, VTC Spring 2016
Country	China
City	Nanjing
Period	15/05/16 → 18/05/16

Keywords

MIMO
Nonlinear distortion effects
OFDM
SVD

Access to Document

10.1109/VTCSpring.2016.7504376Licence: Unspecified

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title = "On the assessment of nonlinear distortion effects in MIMO-OFDM systems",

abstract = "Multiple input multiple output (MIMO) schemes combined with orthogonal frequency division multiplexing (OFDM) modulations are widely employed in broadband wireless systems. However, the transmitted signals are prone to nonlinear distortion effects due to their high envelope fluctuations. In this paper, we present a simple analytical method for studying nonlinear effects in MIMO-OFDM systems. Our method allows accurate results for the power spectral density (PSD) of the transmitted signals, as well as the signal- to- interference (SIR) levels at the detection level. It is shown that the robustness to nonlinear distortion effects increases with the number of transmit antennas (for a fixed number of independent data streams).",

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author = "Joao Guerreiro and Rui Dinis and {Montezuma de Carvalho}, {Paulo Miguel de Ara{\'u}jo Borges}",

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Guerreiro, J, Dinis, R & Montezuma de Carvalho, PMDAB 2016, On the assessment of nonlinear distortion effects in MIMO-OFDM systems. in 2016 IEEE 83rd Vehicular Technology Conference, VTC Spring 2016 - Proceedings. vol. 2016-July, 7504376, Institute of Electrical and Electronics Engineers Inc., 83rd IEEE Vehicular Technology Conference, VTC Spring 2016, Nanjing, China, 15/05/16. https://doi.org/10.1109/VTCSpring.2016.7504376

On the assessment of nonlinear distortion effects in MIMO-OFDM systems. / Guerreiro, Joao; Dinis, Rui ; Montezuma de Carvalho, Paulo Miguel de Araújo Borges.

2016 IEEE 83rd Vehicular Technology Conference, VTC Spring 2016 - Proceedings. Vol. 2016-July Institute of Electrical and Electronics Engineers Inc., 2016. 7504376.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Multiple input multiple output (MIMO) schemes combined with orthogonal frequency division multiplexing (OFDM) modulations are widely employed in broadband wireless systems. However, the transmitted signals are prone to nonlinear distortion effects due to their high envelope fluctuations. In this paper, we present a simple analytical method for studying nonlinear effects in MIMO-OFDM systems. Our method allows accurate results for the power spectral density (PSD) of the transmitted signals, as well as the signal- to- interference (SIR) levels at the detection level. It is shown that the robustness to nonlinear distortion effects increases with the number of transmit antennas (for a fixed number of independent data streams).

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