SDR-Based Wideband Emulator of Non-WSSUS Channels for Vehicular Communications

Ruiz-Garcia, Angel E.; Gutiérrez, Carlos; Cortez, Joaquín; Ruiz-Ibarra, Erica; Castillo, J. Vázquez

doi:10.1007/s00034-022-01958-z

Cited by 3 publications

(4 citation statements)

References 26 publications

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“…11. For this basic configuration, the position of the mth antenna element, as seen from the array's center of mass 6 , O A , can be modeled in rectangular coordinates as:…”

Section: A Basic Configurationsmentioning

confidence: 99%

“….} ULAs which are located parallel to the and equally 6 Antenna arrays are described in this appendix without distinction whether the array is transmitting or receiving…”

Section: A Basic Configurationsmentioning

confidence: 99%

“…One of the most important approaches to the design of such simulators is based on the sum-of-sinusoids (SOS) principle, which was originally introduced by Rice in [1], [2] for the modeling of colored Gaussian noise. The wide acceptance of channel simulators based on a SOS model, or on a sum of complex sinusoids (cisoids) model [3], is due in part to the ease with which these simulators can be implemented in both software and hardware [4]- [6]. In addition, the mathematical description of a sum of cisoids (SOC) is identical to that of the superposition of electromagnetic time-harmonic waves, which gives these models a clear physical meaning [7].…”

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confidence: 99%

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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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“…11. For this basic configuration, the position of the mth antenna element, as seen from the array's center of mass 6 , O A , can be modeled in rectangular coordinates as:…”

Section: A Basic Configurationsmentioning

confidence: 99%

“….} ULAs which are located parallel to the and equally 6 Antenna arrays are described in this appendix without distinction whether the array is transmitting or receiving…”

Section: A Basic Configurationsmentioning

confidence: 99%

mentioning

confidence: 99%

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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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“…These factors cause the systems based on orthogonal frequency division multiplexing (OFDM) to suffer from a severe problem known as intercarrier interference (ICI) [ 5 , 6 , 7 ]. In V2V communication systems, the ICI is accentuated by the high Doppler spread frequencies caused by the high mobility in the vehicular links [ 5 , 8 , 9 , 10 , 11 ]. ICI severely degrades the overall performance of OFDM-V2V systems, making channel estimation, data detection, and error correction tasks extremely challenging.…”

Section: Introductionmentioning

confidence: 99%

Maximal Ratio Combining Detection in OFDM Systems with Virtual Carriers Over V2V Channels

Puerto-Flores

Castillo-Soria

Castillo

et al. 2023

Sensors

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This paper examines the performance of orthogonal frequency division multiplexing (OFDM) systems for vehicle-to-vehicle (V2V) communication channels. More specifically, a doubly selective channel under high intercarrier interference (ICI) is considered. Current solutions involve complex detection and/or reduced spectral efficiency receivers. This paper proposes the use of virtual carriers (VC) in an OFDM system with a low-complexity maximal ratio combining (MRC) detector to improve the bit error rate (BER) performance. The results show that VC provides diversity in received data, resulting in a ≥5 dB gain compared to previous OFDM systems with conventional linear/nonlinear detectors used as a reference. The detector presented in this paper has linear complexity, making it a suitable solution for real-time V2V communication systems.

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The Riemann Sum Method for the SOC-Based Simulation of 3D MIMO Fading Channels

Fabián-Rodríguez,

Gutiérrez

2023

2023 South American Conference on Visible Light Communications (SACVLC)

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SDR-Based Wideband Emulator of Non-WSSUS Channels for Vehicular Communications

Cited by 3 publications

References 26 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

Maximal Ratio Combining Detection in OFDM Systems with Virtual Carriers Over V2V Channels

The Riemann Sum Method for the SOC-Based Simulation of 3D MIMO Fading Channels

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