Real-Time Vehicular Wireless System-Level Simulation

Future automation and control units for advanced driver assistance systems (ADAS) will exchange sensor and kinematic data with nearby vehicles using wireless communication links to improve traffic safety. In this paper we present an accurate real-time system-level simulation for multi-vehicle commun...

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Main Authors: Anja Dakic, Markus Hofer, Benjamin Rainer, Stefan Zelenbaba, Laura Bernado, Thomas Zemen
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9343839/
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author Anja Dakic
Markus Hofer
Benjamin Rainer
Stefan Zelenbaba
Laura Bernado
Thomas Zemen
author_facet Anja Dakic
Markus Hofer
Benjamin Rainer
Stefan Zelenbaba
Laura Bernado
Thomas Zemen
author_sort Anja Dakic
collection DOAJ
description Future automation and control units for advanced driver assistance systems (ADAS) will exchange sensor and kinematic data with nearby vehicles using wireless communication links to improve traffic safety. In this paper we present an accurate real-time system-level simulation for multi-vehicle communication scenarios to support the development and test of connected ADAS systems. The physical and data-link layer are abstracted and provide the frame error rate (FER) to a network simulator. The FER is strongly affected by the non-stationary doubly dispersive fading process of the vehicular radio communication channel. We use a geometry-based stochastic channel model (GSCM) to enable a simplified but still accurate representation of the non-stationary vehicular fading process. The propagation path parameters of the GSCM are used to efficiently compute the time-variant condensed radio channel parameters per stationarity region of each communication link during run-time. Five condensed radio channel parameters mainly determine the FER forming a parameter vector: path loss, root mean square delay spread, Doppler bandwidth, <i>K</i> -factor, and line-of-sight Doppler shift. We measure the FER for a pre-defined set of discrete grid points of the parameter vector using a channel emulator and a given transmitter-receiver modem pair. The FER data is stored in a table and looked up during run-time of the real-time system-level simulation. We validate our methodology using empirical measurement data from a street crossing scenarios demonstrating a close match in terms of FER between simulation and measurement.
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spelling doaj.art-14b469a0d39840d4afbc486827bca4262022-12-21T22:52:15ZengIEEEIEEE Access2169-35362021-01-019232022321710.1109/ACCESS.2021.30559789343839Real-Time Vehicular Wireless System-Level SimulationAnja Dakic0https://orcid.org/0000-0003-2088-8935Markus Hofer1https://orcid.org/0000-0002-1915-9869Benjamin Rainer2https://orcid.org/0000-0003-1954-019XStefan Zelenbaba3https://orcid.org/0000-0001-5561-2379Laura Bernado4https://orcid.org/0000-0003-4816-7101Thomas Zemen5https://orcid.org/0000-0002-9392-9155AIT Austrian Institute of Technology GmbH, Vienna, AustriaAIT Austrian Institute of Technology GmbH, Vienna, AustriaAIT Austrian Institute of Technology GmbH, Vienna, AustriaAIT Austrian Institute of Technology GmbH, Vienna, AustriaAIT Austrian Institute of Technology GmbH, Vienna, AustriaAIT Austrian Institute of Technology GmbH, Vienna, AustriaFuture automation and control units for advanced driver assistance systems (ADAS) will exchange sensor and kinematic data with nearby vehicles using wireless communication links to improve traffic safety. In this paper we present an accurate real-time system-level simulation for multi-vehicle communication scenarios to support the development and test of connected ADAS systems. The physical and data-link layer are abstracted and provide the frame error rate (FER) to a network simulator. The FER is strongly affected by the non-stationary doubly dispersive fading process of the vehicular radio communication channel. We use a geometry-based stochastic channel model (GSCM) to enable a simplified but still accurate representation of the non-stationary vehicular fading process. The propagation path parameters of the GSCM are used to efficiently compute the time-variant condensed radio channel parameters per stationarity region of each communication link during run-time. Five condensed radio channel parameters mainly determine the FER forming a parameter vector: path loss, root mean square delay spread, Doppler bandwidth, <i>K</i> -factor, and line-of-sight Doppler shift. We measure the FER for a pre-defined set of discrete grid points of the parameter vector using a channel emulator and a given transmitter-receiver modem pair. The FER data is stored in a table and looked up during run-time of the real-time system-level simulation. We validate our methodology using empirical measurement data from a street crossing scenarios demonstrating a close match in terms of FER between simulation and measurement.https://ieeexplore.ieee.org/document/9343839/Channel emulationframe error rategeometry-based stochastic channel modelsystem-level simulationwireless vehicular communication
spellingShingle Anja Dakic
Markus Hofer
Benjamin Rainer
Stefan Zelenbaba
Laura Bernado
Thomas Zemen
Real-Time Vehicular Wireless System-Level Simulation
IEEE Access
Channel emulation
frame error rate
geometry-based stochastic channel model
system-level simulation
wireless vehicular communication
title Real-Time Vehicular Wireless System-Level Simulation
title_full Real-Time Vehicular Wireless System-Level Simulation
title_fullStr Real-Time Vehicular Wireless System-Level Simulation
title_full_unstemmed Real-Time Vehicular Wireless System-Level Simulation
title_short Real-Time Vehicular Wireless System-Level Simulation
title_sort real time vehicular wireless system level simulation
topic Channel emulation
frame error rate
geometry-based stochastic channel model
system-level simulation
wireless vehicular communication
url https://ieeexplore.ieee.org/document/9343839/
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AT benjaminrainer realtimevehicularwirelesssystemlevelsimulation
AT stefanzelenbaba realtimevehicularwirelesssystemlevelsimulation
AT laurabernado realtimevehicularwirelesssystemlevelsimulation
AT thomaszemen realtimevehicularwirelesssystemlevelsimulation