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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Language: | English |
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IEEE
2021-01-01
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Series: | IEEE Access |
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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. |
first_indexed | 2024-12-14T18:13:01Z |
format | Article |
id | doaj.art-14b469a0d39840d4afbc486827bca426 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-14T18:13:01Z |
publishDate | 2021-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
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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