University of Oulu

J. Pyhtila et al., "3-D Ray Tracing Based GPU Accelerated Field Prediction Radio Channel Simulator," 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), Kuala Lumpur, Malaysia, 2019, pp. 1-7. doi: 10.1109/VTCSpring.2019.8746338

3-D ray tracing based GPU accelerated field prediction radio channel simulator

Saved in:
Author: Pyhtilä, Juha1; Sangi, Pekka2; Karvonen, Heikki1;
Organizations: 1Centre for Wireless Communications, Faculty of Information Technology and Electrical Engineering, University of Oulu
2Center for Machine Vision and Signal Analysis, Faculty of Information Technology and Electrical Engineering, University of Oulu
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 7.4 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2019-08-21


A ray tracing simulator for urban and indoor environments is introduced. The simulator uses NVIDIA graphics processing unit (GPU) accelerated CUDA parallel computing platform and programming mode and the OptiX Ray Tracing Engine. As a use case, channel characteristics for Global Navigation Satellite System (GNSS) satellites are simulated and compared with measurements in an urban area. The speedup achieved by parallel processing allows computation of multiple relevant reflections characteristic of a satellite channel.

see all

Series: IEEE Vehicular Technology Conference
ISSN: 1090-3038
ISSN-L: 1090-3038
ISBN: 978-1-7281-1217-6
ISBN Print: 978-1-7281-1218-3
Pages: 1 - 7
DOI: 10.1109/VTCSpring.2019.8746338
Host publication: 2019 IEEE 89th Vehicular Technology Conference (VTC Spring). 28 April – 1 May 2019, Kuala Lumpur, Malaysia
Conference: IEEE Vehicular Technology Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was done under WERME and ENABLER projects, which have been funded by Business Finland. Preliminary work was done in Fullray Project funded by Nokia. In addition, this research has been financially supported in part by Academy of Finland 6Genesis Flagship (grant 318927).
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.