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pro vyhledávání: '"Ethier, Jonathan"'
This paper discusses recent advancements made in the fast prediction of signal power in mmWave communications environments. Using machine learning (ML) it is possible to train models that provide power estimates with both good accuracy and with real-
Externí odkaz:
http://arxiv.org/abs/2409.00050
Autor:
Dempsey, Ryan, Ethier, Jonathan
Publikováno v:
SoutheastCon 2024, 15-24 March 2024, Atlanta, GA, USA, pp. 1503-1508
Path loss prediction for wireless communications is highly dependent on the local environment. Propagation models including clutter information have been shown to significantly increase model accuracy. This paper explores the application of deep lear
Externí odkaz:
http://arxiv.org/abs/2408.04407
Publikováno v:
2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York, NY, USA, 2023, pp. 38-41
The SAFE tool is an open-source Radio Frequency (RF) propagation model designed for path loss predictions in foliage-dominant environments. It utilizes the ITU-R P.1812-6 model as its backbone, enhances predictions with the physics-based Radiative En
Externí odkaz:
http://arxiv.org/abs/2408.03724
Autor:
Ethier, Jonathan, Chateauvert, Mathieu
Publikováno v:
IEEE Antennas and Wireless Propagation Letters (2024)
Propagation modeling is a crucial tool for successful wireless deployments and spectrum planning with the demand for high modeling accuracy continuing to grow. Recognizing that detailed knowledge of the physical environment (terrain and clutter) is e
Externí odkaz:
http://arxiv.org/abs/2405.10006
Autor:
Ozyegen, Ozan, Mohammadjafari, Sanaz, mokhtari, Karim El, Cevik, Mucahit, Ethier, Jonathan, Basar, Ayse
Accurate radio frequency power prediction in a geographic region is a computationally expensive part of finding the optimal transmitter location using a ray tracing software. We empirically analyze the viability of deep learning models to speed up th
Externí odkaz:
http://arxiv.org/abs/2006.09245
Autor:
Ethier, Jonathan L. T.
Characteristic modes (CMs) provide deep insight into the electromagnetic behaviour of any arbitrarily shaped conducting structure because the CMs are unique to the geometry of the object. We exploit this very fact by predicting a perhaps surprising n
Externí odkaz:
http://hdl.handle.net/10393/23464
Autor:
Ethier, Jonathan
In this thesis we show how characteristic mode (CM) theory can be used to in the design of the antennas with the low envelope correlation coefficients preferred for MIMO antennas. This is due to the fact that the radiated fields of CMs are orthogonal
Externí odkaz:
http://hdl.handle.net/10393/27683
Akademický článek
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Publikováno v:
27th Annual Meeting of the European Association of Archaeologists (EAA 2021)
27th Annual Meeting of the European Association of Archaeologists (EAA 2021), Sep 2021, Kiel, Germany
27th Annual Meeting of the European Association of Archaeologists (EAA 2021), Sep 2021, Kiel, Germany
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::90c2a7fd37b9d47f7497d79189913d25
https://hal.science/hal-03180329
https://hal.science/hal-03180329
Akademický článek
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