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pro vyhledávání: '"Eertmans, Jérome"'
Autor:
Eertmans, Jérome, Di Cicco, Nicola, Oestges, Claude, Jacques, Laurent, Vittuci, Enrico M., Degli-Esposti, Vittorio
Radio propagation modeling is essential in telecommunication research, as radio channels result from complex interactions with environmental objects. Recently, Machine Learning has been attracting attention as a potential alternative to computational
Externí odkaz:
http://arxiv.org/abs/2410.23773
Autor:
Eertmans, Jérome, Vittuci, Enrico Maria, Esposti, Vittorio Degli, Jacques, Laurent, Oestges, Claude
With the increasing presence of dynamic scenarios, such as Vehicle-to-Vehicle communications, radio propagation modeling tools must adapt to the rapidly changing nature of the radio channel. Recently, both Differentiable and Dynamic Ray Tracing frame
Externí odkaz:
http://arxiv.org/abs/2410.14535
Publikováno v:
2024 18th European Conference on Antennas and Propagation (EuCAP)
Recently, Differentiable Ray Tracing has been successfully applied in the field of wireless communications for learning radio materials or optimizing the transmitter orientation. However, in the frame of gradient based optimization, obstruction of th
Externí odkaz:
http://arxiv.org/abs/2401.11882
Publikováno v:
2023 17th European Conference on Antennas and Propagation (EuCAP)
For more than twenty years, Ray Tracing methods have continued to improve on both accuracy and computational time aspects. However, most state-of-the-art image-based ray tracers still rely on a description of the environment that only contains planar
Externí odkaz:
http://arxiv.org/abs/2301.06399
Autor:
Eertmans, Jérome
For more than twenty years, Ray Tracing methods have continued to improve on both accuracy and computational time aspects. However, most state-of-the-art image-based ray tracers still rely on a description of the environment that only contains planar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1493::c2cd9ae0a7037c06a1ab668e77712239
https://hdl.handle.net/2078.1/261346
https://hdl.handle.net/2078.1/261346