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A refined path generation pipeline for radio channel propagation modeling |
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| Author: | Vaara, Niklas1; Sangi, Pekka1; Pyhtilä, Juha2; |
| Organizations: |
1Center for Machine Vision and Signal Analysis 2Centre for Wireless Communcations - Radio Technologies Faculty of Information Technology and Electrical Engineering, University of Oulu Oulu, Finland |
| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.3 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe20230911122371 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2023
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| Publish Date: | 2023-09-11 |
| Description: |
AbstractRay tracing is a widely used approach for deterministic modelling of radio channels. We present our path generation pipeline, which combines environment discretization-based propagation path search with path refinement, which outputs validated paths fulfilling the Fermat’s principle of the least time. We propose a novel gradient descent-based solution for refinement. Whole pipeline is implemented as GPU computations using NVIDIA CUDA and OptiX ray tracing engine, and experimental results show efficacy of the approach. see all
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| ISBN Print: | 978-1-6654-7541-9 |
| DOI: | 10.23919/EuCAP57121.2023.10133739 |
| OADOI: | https://oadoi.org/10.23919/EuCAP57121.2023.10133739 |
| Host publication: |
2023 17th European Conference on Antennas and Propagation (EuCAP) |
| Conference: |
European Conference on Antennas and Propagation |
| Type of Publication: |
A4 Article in conference proceedings |
| Field of Science: |
213 Electronic, automation and communications engineering, electronics |
| Subjects: | |
| Funding: |
This work was supported by the Ho2020 Project ARIADNE (GA 871464), Celtic Project AI4Green, and Academy of Finland 6G Flagship (Grant 346208). |
| EU Grant Number: |
(871464) ARIADNE - Artificial Intelligence Aided D-band Network for 5G Long Term Evolution |
| Academy of Finland Grant Number: |
346208 |
| Detailed Information: |
346208 (Academy of Finland Funding decision) |
| Copyright information: |
© 2023 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. |