SOC-Based Simulation of 3D MIMO Mobile-to-Mobile Fading Channels: A Riemann Sum Approach

The Riemann sum method (RSM) was introduced almost two decades ago as an efficient parameter computation method for the design of narrowband multiple-input multiple-output (MIMO) mobile fading channel simulators based on the sum-of-cisoids (SOC) principle. This method has been shown to be more accur...

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Main Authors: Carlos A. Gutierrez, Raul A. Fabian-Rodriguez, Francisco R. Castillo-Soria, Cesar A. Azurdia-Meza, Pablo Adasme
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Vehicular Technology
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10313940/
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author Carlos A. Gutierrez
Raul A. Fabian-Rodriguez
Francisco R. Castillo-Soria
Cesar A. Azurdia-Meza
Pablo Adasme
author_facet Carlos A. Gutierrez
Raul A. Fabian-Rodriguez
Francisco R. Castillo-Soria
Cesar A. Azurdia-Meza
Pablo Adasme
author_sort Carlos A. Gutierrez
collection DOAJ
description The Riemann sum method (RSM) was introduced almost two decades ago as an efficient parameter computation method for the design of narrowband multiple-input multiple-output (MIMO) mobile fading channel simulators based on the sum-of-cisoids (SOC) principle. This method has been shown to be more accurate and less computationally expensive than other methods based on the SOC principle. However, the RSM was formulated by assuming uniform linear antenna arrays and a two-dimensional geometrical propagation environment. These assumptions impose important limitations, as the mobile communication systems are evolving to provide service in a variety of three-dimensional (3D) environments by employing different antenna array configurations. This article presents two generalized versions of the RSM that remove such limitations. One version follows the deterministic approach of the original RSM, which is specific to the design of ergodic SOC-based simulators for wide-sense stationary (WSS) channels. The other version is inspired by a stochastic approach that enables the non-ergodic simulation of WSS channels and which can be extrapolated to the simulation of non-WSS channels. Simulation results presented here demonstrate that both generalizations provide an excellent approximation to the envelope distribution and correlation properties of 3D narrowband MIMO mobile-to-mobile fading channels, regardless of the antenna array configuration and the propagation environment's geometry.
format Article
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institution Kabale University
issn 2644-1330
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publishDate 2024-01-01
publisher IEEE
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series IEEE Open Journal of Vehicular Technology
spelling doaj-art-65e0ae7774894c1faffba895e965fa052025-01-30T00:03:59ZengIEEEIEEE Open Journal of Vehicular Technology2644-13302024-01-01512010.1109/OJVT.2023.333153410313940SOC-Based Simulation of 3D MIMO Mobile-to-Mobile Fading Channels: A Riemann Sum ApproachCarlos A. Gutierrez0https://orcid.org/0000-0002-6234-7849Raul A. Fabian-Rodriguez1https://orcid.org/0009-0003-9332-2868Francisco R. Castillo-Soria2https://orcid.org/0000-0002-5550-8819Cesar A. Azurdia-Meza3https://orcid.org/0000-0003-3461-4484Pablo Adasme4https://orcid.org/0000-0003-2500-3294Faculty of Science, Universidad Autónoma de San Luis Potosí, San Luis Potosi, MexicoFaculty of Science, Universidad Autónoma de San Luis Potosí, San Luis Potosi, MexicoFaculty of Science, Universidad Autónoma de San Luis Potosí, San Luis Potosi, MexicoDepartment of Electrical Engineering, Universidad de Chile, Santiago, ChileDepartment of Electrical Engineering, Universidad de Santiago de Chile, Santiago, ChileThe Riemann sum method (RSM) was introduced almost two decades ago as an efficient parameter computation method for the design of narrowband multiple-input multiple-output (MIMO) mobile fading channel simulators based on the sum-of-cisoids (SOC) principle. This method has been shown to be more accurate and less computationally expensive than other methods based on the SOC principle. However, the RSM was formulated by assuming uniform linear antenna arrays and a two-dimensional geometrical propagation environment. These assumptions impose important limitations, as the mobile communication systems are evolving to provide service in a variety of three-dimensional (3D) environments by employing different antenna array configurations. This article presents two generalized versions of the RSM that remove such limitations. One version follows the deterministic approach of the original RSM, which is specific to the design of ergodic SOC-based simulators for wide-sense stationary (WSS) channels. The other version is inspired by a stochastic approach that enables the non-ergodic simulation of WSS channels and which can be extrapolated to the simulation of non-WSS channels. Simulation results presented here demonstrate that both generalizations provide an excellent approximation to the envelope distribution and correlation properties of 3D narrowband MIMO mobile-to-mobile fading channels, regardless of the antenna array configuration and the propagation environment's geometry.https://ieeexplore.ieee.org/document/10313940/Channel simulatorsfading channelsmultiple-input multiple-output channelsmobile radio communicationsmobile-to-mobile communicationssum-of-sinusoids process
spellingShingle Carlos A. Gutierrez
Raul A. Fabian-Rodriguez
Francisco R. Castillo-Soria
Cesar A. Azurdia-Meza
Pablo Adasme
SOC-Based Simulation of 3D MIMO Mobile-to-Mobile Fading Channels: A Riemann Sum Approach
IEEE Open Journal of Vehicular Technology
Channel simulators
fading channels
multiple-input multiple-output channels
mobile radio communications
mobile-to-mobile communications
sum-of-sinusoids process
title SOC-Based Simulation of 3D MIMO Mobile-to-Mobile Fading Channels: A Riemann Sum Approach
title_full SOC-Based Simulation of 3D MIMO Mobile-to-Mobile Fading Channels: A Riemann Sum Approach
title_fullStr SOC-Based Simulation of 3D MIMO Mobile-to-Mobile Fading Channels: A Riemann Sum Approach
title_full_unstemmed SOC-Based Simulation of 3D MIMO Mobile-to-Mobile Fading Channels: A Riemann Sum Approach
title_short SOC-Based Simulation of 3D MIMO Mobile-to-Mobile Fading Channels: A Riemann Sum Approach
title_sort soc based simulation of 3d mimo mobile to mobile fading channels a riemann sum approach
topic Channel simulators
fading channels
multiple-input multiple-output channels
mobile radio communications
mobile-to-mobile communications
sum-of-sinusoids process
url https://ieeexplore.ieee.org/document/10313940/
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