Characterization of wireless channel response in in-vehicle environments
Abstract
In this work, different types of indoor vehicular scenarios will be characterized in order to provide assessment in the performance of on-board wireless systems, with the aid of an in-house developed 3D ray launching code. Estimations of received power as well as of time domain parameters show the relevance of multipath propagation and hence, the impact of topology and morphology in the overall system performance.
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The intra-car communication scenario is prone to backscattering, which results in attenuations.
“Such a scenario is prone to backscattering, which results in attenuations [13].”
From Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways (2017) · cites this paper as [13]
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Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways
Fraga-Lamas, P., Fernández-Caramés, T., & Castedo, L. (2017) · Sensors · doi:10.3390/s17061457 · Cited by 267 · see citing works
- Authors
- Aguirre, E., Lopez-Iturri, P., Azpilicueta, L., & Falcone, F.
- Affiliations
- Universidad Pública de Navarra (UPNA) (ES)
- Venue
- Proceedings of 2014 Mediterranean Microwave Symposium (MMS2014)
- Publisher
- IEEE
- Published
- 2014-12
- Volume
- 5
- Pages
- 1-4
- OpenAlex
- W2083188173
- Cited by
- 5
- References
- 0
- Citations by year
- 2025: 1 · 2017: 2 · 2015: 2
- FWCI
- 1.62
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Mediterranean Microwave Symposium (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Millimeter-Wave Propagation and Modeling
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electromagnetic Compatibility and Measurements
- Keywords
- received power estimation, multipath propagation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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