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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Alexandropoulos, G. C., Jung, B. K., Gavriilidis, P., Matos, S., Loeser, L. H. W., Elesina, V....Kürner, T. (2025). Characterization of indoor reconfigurable intelligent surface-assisted channels at 304 GHz: Experimental measurements, challenges, and future directions. IEEE Vehicular Technology Magazine. 20 (3), 21-29
Exportar Referência (IEEE)
G. C. Alexandropoulos et al.,  "Characterization of indoor reconfigurable intelligent surface-assisted channels at 304 GHz: Experimental measurements, challenges, and future directions", in IEEE Vehicular Technology Magazine, vol. 20, no. 3, pp. 21-29, 2025
Exportar BibTeX
@article{alexandropoulos2025_1764941119311,
	author = "Alexandropoulos, G. C. and Jung, B. K. and Gavriilidis, P. and Matos, S. and Loeser, L. H. W. and Elesina, V. and Clemente, A. and D’Errico, R. and Pessoa, L. M. and Kürner, T.",
	title = "Characterization of indoor reconfigurable intelligent surface-assisted channels at 304 GHz: Experimental measurements, challenges, and future directions",
	journal = "IEEE Vehicular Technology Magazine",
	year = "2025",
	volume = "20",
	number = "3",
	doi = "10.1109/MVT.2025.3582403",
	pages = "21-29",
	url = "https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10209"
}
Exportar RIS
TY  - JOUR
TI  - Characterization of indoor reconfigurable intelligent surface-assisted channels at 304 GHz: Experimental measurements, challenges, and future directions
T2  - IEEE Vehicular Technology Magazine
VL  - 20
IS  - 3
AU  - Alexandropoulos, G. C.
AU  - Jung, B. K.
AU  - Gavriilidis, P.
AU  - Matos, S.
AU  - Loeser, L. H. W.
AU  - Elesina, V.
AU  - Clemente, A.
AU  - D’Errico, R.
AU  - Pessoa, L. M.
AU  - Kürner, T.
PY  - 2025
SP  - 21-29
SN  - 1556-6072
DO  - 10.1109/MVT.2025.3582403
UR  - https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10209
AB  - Reconfigurable Intelligent Surfaces (RISs) are expected to play a pivotal role in future indoor ultra high data rate wireless communications as well as highly accurate three-dimensional localization and sensing, mainly due to their capability to provide flexible, cost- and power-efficient coverage extension, even under blockage conditions. However, when considering beyond millimeter wave frequencies where there exists GHz-level available bandwidth, realistic models of indoor RIS-parameterized channels verified by field-trial measurements are unavailable. In this article, we first present and characterize three RIS prototypes with unit cells of half-wavelength intercell spacing, which were optimized to offer a specific nonspecular reflection with 1-, 2-, and 3-bit phase quantization at 304 GHz. The designed static RISs were considered in an indoor channel measurement campaign carried out with a 304 GHz channel sounder. Channel measurements for two setups, one focusing on the transmitter-RIS-receiver path gain and the other on the angular spread of multipath components, are presented and compared with both state-of-the-art theoretical models as well as full-wave simulation results. The article is concluded with a list of challenges and research directions for RIS design and modeling of RIS-parameterized channels at THz frequencies.
ER  -