An Accurate Hardware Sum-of-Cisoids Fading Channel Simulator for Isotropic and Non-Isotropic Mobile Radio Environments

Vela-Garcia, L.; Castillo, J. Vázquez; Parra-Michel, R.; Pätzold, Matthias

doi:10.1155/2012/542198

Cited by 8 publications

(2 citation statements)

References 28 publications

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“…4 three surface plots of the reference model's SCCS, R R X n,i , obtained by numerically evaluating (11) for ∆t = 0 and the N th transmitting antenna (n = i = N = 9), the cylinder scattering model, and the three array configurations. 5 The shape of the three correlation surfaces in Fig. 4 is in line with the geometry of the corresponding antenna array.…”

Section: Performance Evaluation Regarding the Sccfmentioning

confidence: 53%

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

Gutiérrez,

Fabían-Rodríguez,

Castillo-Soria

et al. 2024

IEEE Open J. Veh. Technol.

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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 twodimensional 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 paper 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.INDEX TERMS Channel simulators, fading channels, multiple-input multiple-output channels, mobile radio communications, mobile-to-mobile communications, sum-of-sinusoids process, wide-sense stationary channels, vehicular communications I. INTRODUCTION

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Section: Performance Evaluation Regarding the Sccfmentioning

confidence: 53%

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

Gutiérrez,

Fabían-Rodríguez,

Castillo-Soria

et al. 2024

IEEE Open J. Veh. Technol.

View full text Add to dashboard Cite

show abstract

“…Physical models take into account the electromagnetic propagation and the environment under study for obtaining a channel model. Moreover, such models can be categorized as deterministic models [3], geometric-based stochastic models [4], or stochastic models [5,6]. Analytical models, on the other hand, abstract the complex electromagnetic propagation mechanisms into tractable channel impulse responses for modeling the MIMO channels.…”

Section: Introductionmentioning

confidence: 99%

A Triply Selective MIMO Channel Simulator Using GPUs

Carrasco-Alvarez¹,

Carreón-Villal²,

Castillo³

et al. 2018

Wireless Communications and Mobile Computing

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A methodology for implementing a triply selective multiple-input multiple-output (MIMO) simulator based on graphics processing units (GPUs) is presented. The resulting simulator is based on the implementation of multiple double-selective single-input singleoutput (SISO) channel generators, where the multiple inputs and the multiple received signals have been transformed in order to supply the corresponding space correlation of the channel under consideration. A direct consequence of this approach is the flexibility provided, which allows different propagation statistics to each SISO channel to be specified and thus more complex environments to be replicated. It is shown that under some specific constraints, the statistics of the triply selective MIMO simulator are the same as those reported in the state of art. Simulation results show the computational time improvement achieved, up to 650-fold for an 8 × 8 MIMO channel simulator when compared with sequential implementations. In addition to the computational improvement, the proposed simulator offers flexibility for testing a variety of scenarios in vehicle-to-vehicle (V2V) and vehicle-toinfrastructure (V2I) systems.

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Rayleigh and Ricean Fading Channel simulator-a review

Bhise

Khot²

2016

2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT)

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An Accurate Hardware Sum-of-Cisoids Fading Channel Simulator for Isotropic and Non-Isotropic Mobile Radio Environments

Cited by 8 publications

References 28 publications

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

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

A Triply Selective MIMO Channel Simulator Using GPUs

Rayleigh and Ricean Fading Channel simulator-a review

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