Implementation of spatially consistent channel models for real-time full stack C-ITS V2X simulations
Fedorov, Aleksei LU ; Lyamin, Nikita and Tufvesson, Fredrik LU
(2021)
55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
In Conference Record - Asilomar Conference on Signals, Systems and Computers
2021-October.
p.67-71
- Abstract
Vehicle-to-everything (V2X) wireless communication is expected to play a key role in enabling complex Advanced Driving Assistance Applications, including the support of emerging autonomous vehicles. The development of V2X applications, especially safety-related, requires rigorous verification. Field trials, though, have to be supplemented with less expensive and more repeatable methods. Thorough V2X modeling could be an efficient approach to boost V2X development. However, to be helpful, V2X modeling has to be realistic and properly capture the signal propagation in a complex V2X environment. To this end, Geometry Based Stochastic Models (GSCM) have been derived to account for the influence of the environment as well as small yet... (More)
Vehicle-to-everything (V2X) wireless communication is expected to play a key role in enabling complex Advanced Driving Assistance Applications, including the support of emerging autonomous vehicles. The development of V2X applications, especially safety-related, requires rigorous verification. Field trials, though, have to be supplemented with less expensive and more repeatable methods. Thorough V2X modeling could be an efficient approach to boost V2X development. However, to be helpful, V2X modeling has to be realistic and properly capture the signal propagation in a complex V2X environment. To this end, Geometry Based Stochastic Models (GSCM) have been derived to account for the influence of the environment as well as small yet critical details, where we typically lack information about their physical and geometrical properties. In this paper, we present an implementation of a GSCM in the Unity3D game engine. Due to extensive signal path search in a 3D environment with ray-tracing, the GSCM computation has to be further optimized to enable real-time V2X simulations. Thus, we also propose the approach for GSCM computation optimization and explain the practicalities of its implementation. The results show that optimization can accelerate the simulation framework up to a few thousand times without losing the precision in modeling channel characteristics.
(Less)
- author
- Fedorov, Aleksei
LU
; Lyamin, Nikita
and Tufvesson, Fredrik
LU
- organization
- publishing date
- 2021
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- ADAS, C-ITS, C-V2X, CCAM, CITS, COST IRACON channel model, GCM, GSCM, IEEE 802.11bd, ITS-G5, V2X, VANET, WAVE
- host publication
- 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
- series title
- Conference Record - Asilomar Conference on Signals, Systems and Computers
- editor
- Matthews, Michael B.
- volume
- 2021-October
- pages
- 5 pages
- publisher
- IEEE Computer Society
- conference name
- 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
- conference location
- Virtual, Pacific Grove, United States
- conference dates
- 2021-10-31 - 2021-11-03
- external identifiers
-
- scopus:85127060734
- ISSN
- 1058-6393
- ISBN
- 9781665458283
- DOI
- 10.1109/IEEECONF53345.2021.9723279
- language
- English
- LU publication?
- yes
- id
- ecda439c-2661-4c45-b4f2-b24cade489fa
- date added to LUP
- 2022-05-04 14:00:43
- date last changed
- 2023-08-30 12:11:29
@inproceedings{ecda439c-2661-4c45-b4f2-b24cade489fa,
abstract = {{<p>Vehicle-to-everything (V2X) wireless communication is expected to play a key role in enabling complex Advanced Driving Assistance Applications, including the support of emerging autonomous vehicles. The development of V2X applications, especially safety-related, requires rigorous verification. Field trials, though, have to be supplemented with less expensive and more repeatable methods. Thorough V2X modeling could be an efficient approach to boost V2X development. However, to be helpful, V2X modeling has to be realistic and properly capture the signal propagation in a complex V2X environment. To this end, Geometry Based Stochastic Models (GSCM) have been derived to account for the influence of the environment as well as small yet critical details, where we typically lack information about their physical and geometrical properties. In this paper, we present an implementation of a GSCM in the Unity3D game engine. Due to extensive signal path search in a 3D environment with ray-tracing, the GSCM computation has to be further optimized to enable real-time V2X simulations. Thus, we also propose the approach for GSCM computation optimization and explain the practicalities of its implementation. The results show that optimization can accelerate the simulation framework up to a few thousand times without losing the precision in modeling channel characteristics. </p>}},
author = {{Fedorov, Aleksei and Lyamin, Nikita and Tufvesson, Fredrik}},
booktitle = {{55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021}},
editor = {{Matthews, Michael B.}},
isbn = {{9781665458283}},
issn = {{1058-6393}},
keywords = {{ADAS; C-ITS; C-V2X; CCAM; CITS; COST IRACON channel model; GCM; GSCM; IEEE 802.11bd; ITS-G5; V2X; VANET; WAVE}},
language = {{eng}},
pages = {{67--71}},
publisher = {{IEEE Computer Society}},
series = {{Conference Record - Asilomar Conference on Signals, Systems and Computers}},
title = {{Implementation of spatially consistent channel models for real-time full stack C-ITS V2X simulations}},
url = {{http://dx.doi.org/10.1109/IEEECONF53345.2021.9723279}},
doi = {{10.1109/IEEECONF53345.2021.9723279}},
volume = {{2021-October}},
year = {{2021}},
}