A refined path generation pipeline for radio channel propagation modeling

Vaara, Niklas; Sangi, Pekka; Pyhtilä, Juha; Juntti, Markku; Heikkilä, Janne (2023-05-31)
 
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https://doi.org/10.23919/EuCAP57121.2023.10133739

Vaara, Niklas
Sangi, Pekka
Pyhtilä, Juha
Juntti, Markku
Heikkilä, Janne
Institute of Electrical and Electronics Engineers
31.05.2023

N. Vaara, P. Sangi, J. Pyhtilä, M. Juntti and J. Heikkilä, "A Refined Path Generation Pipeline for Radio Channel Propagation Modeling," 2023 17th European Conference on Antennas and Propagation (EuCAP), Florence, Italy, 2023, pp. 1-5, doi: 10.23919/EuCAP57121.2023.10133739.

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doi:https://doi.org/10.23919/EuCAP57121.2023.10133739
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Abstract

Ray 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.

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