Skip to main content
DORAS
DCU Online Research Access Service
Login (DCU Staff Only)
A visibility matching technique for efficient millimetre-wave vehicular channel modeling

Hussain, Sajjad and Brennan, Conor ORCID: 0000-0002-0405-3869 (2022) A visibility matching technique for efficient millimetre-wave vehicular channel modeling. IEEE Transactions on Antennas and Propagation, 70 (10). pp. 9977-9982. ISSN 1558-2221

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
547kB

Abstract

Site specific propagation models for highly dynamic vehicle-to-vehicle scenarios become time consuming as the identification of visible surfaces must be performed independently for each transmitter location. Moreover the validation of higher order of ray interactions presents a significant computational overhead. This paper presents an efficient ray-tracing algorithm for vehicle-to-vehicle propagation prediction. The model presented in this paper extends a previous model that uses a pre-computed database of intra-visibility of walls and edges in the environment. The model computes the list of faces and edges that are directly visible to the mobile receiver. This visibility information is then used to reduce the image-tree thereby accelerating the ray validation. The paper also presents an efficient technique to compute diffuse scattered rays in a timely manner. The validation results show considerable time saving over previous models.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:receivers; faces; computational modeling; scattering; ray tracing; radio transmitters; buildings; vehicular communication; diffuse scattering; ray-tracing
Subjects:Engineering > Telecommunication
Engineering > Electronic engineering
Mathematics > Mathematical models
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Official URL:https://dx.doi.org/10.1109/TAP.2022.3178130
Copyright Information:© 2022 IEEE
ID Code:27489
Deposited On:05 Aug 2022 09:24 by Conor Brennan . Last Modified 24 Nov 2022 14:42

Downloads

Downloads per month over past year

Archive Staff Only: edit this record

Altmetric
- Altmetric
+ Altmetric
  • Student Email
  • Staff Email
  • Student Apps
  • Staff Apps
  • Loop
  • Disclaimer
  • Privacy
  • Contact Us