Browsing by Author "Vitucci, Enrico M."
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- Analytical Characterization of a Transmission Loss of an Antenna-Embedded Wall
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä(2024) Vaha-Savo, Lauri; Veggi, Lorenzo; Vitucci, Enrico M.; Icheln, Clemens; Degli-Esposti, Vittorio; Haneda, KatsuyukiAn analytical model for an antenna-embedded wall, also called signal-transmissive wall, is presented in this work. In the signal-transmissive wall, multiple antenna elements are distributed periodically on both wall sides, and connected back-to-back through coaxial cables. Numerical full-wave simulations of the signal-transmissive wall are computationally demanding due to the fine meshes required in the cables while having an electrically large wall size. Therefore the simulations above 8 GHz are not feasible even with a powerful cluster computer of the authors' research site. The analytical model is an attractive alternative to the full-wave simulation of the wall, which combines the individual transmission characteristics of the bare wall, realized gains of antenna elements and cable losses. The analytical model accurately reproduces the full-wave simulated transmission coefficient of the signal-transmissive wall up to 8 GHz for arbitrary polarizations and incident angles of a plane wave. The model therefore allows analysis of the signal-transmissive wall beyond 8 GHz, showing more than 70 dB reduction of the transmission loss at 30 GHz compared to a bare wall. - Electromagnetic and Thermal Analysis of Coaxial Cable Connection Embedded in an Intelligent Wall
A4 Artikkeli konferenssijulkaisussa(2023) Veggi, Lorenzo; Vähä-Savo, Lauri; Haneda, Katsuyuki; Vitucci, Enrico M.; Degli-Esposti, VittorioA joint thermal and electromagnetic analysis of a wall with a regular distribution of embedded coaxial cables is presented in the paper. The cables are aimed, for instance, at connecting regularly spaced antennas on both wall sides with the scope of reducing wall-penetration loss in mm-wave and sub-THz wireless systems, as proposed in a previous study. The present study reveals the trade-off between good electromagnetic transmission, that is proportional to cable density, and modern building's requirements for high thermal insulation, that degrades with it. The study eventually suggests the optimum cable density and materials' choice to satisfy both requirements in future low-energy buildings with intelligent, signal-transmissive walls. - Reradiation and Scattering from a Reconfigurable Intelligent Surface: A General Macroscopic Model
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä(2022-10) Degli-Esposti, Vittorio; Vitucci, Enrico M.; Di Renzo, Marco; Tretyakov, SergeiReconfigurable Intelligent Surfaces (RISs) have attracted major attention in the last few years, thanks to their useful characteristics. An RIS is a nearly passive thin surface that can dynamically change the reradiated field, and can therefore realize anomalous reflection, refraction, focalization, or other wave transformations for engineering the radio propagation environment or realizing novel surface-type antennas. Evaluating the performance and optimizing the deployment of RISs in wireless networks need physically consistent frameworks that account for the electromagnetic characteristics of dynamic metasurfaces. In this paper, we introduce a general macroscopic model for evaluating the scattering from an RIS. The proposed method decomposes the wave reradiated from an RIS into multiple scattering contributions and is aimed at being embedded into ray-based models. Since state-of-the-art ray-based models can already efficiently simulate specular wave reflection, diffraction, and diffuse scattering, but not anomalous reradiation, we enhance them with an approach based on Huygens’ principle and propose two possible implementations for it. Multiple reradiation modes can be modeled through the proposed approach, using the power conservation principle. We validate the accuracy of the proposed model by benchmarking it against several case studies available in the literature, which are based on analytical models, full-wave simulations, and measurements.