Characterization of Indoor RIS-Assisted Channels at 304 GHz: Experimental Measurements, Challenges, and Future Directions
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arXiv
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| Autori principali: | , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866910737470849024 |
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| author | Alexandropoulos, George C. Jung, Bo Kum Gavriilidis, Panagiotis Matos, Sérgio Loeser, Lorenz H. W. Elesina, Varvara Clemente, Antonio D'Errico, Raffaele Pessoa, Luís M. Kürner, Thomas |
| author_facet | Alexandropoulos, George C. Jung, Bo Kum Gavriilidis, Panagiotis Matos, Sérgio Loeser, Lorenz H. W. Elesina, Varvara Clemente, Antonio D'Errico, Raffaele Pessoa, Luís M. Kürner, Thomas |
| contents | 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 $100\times100$ unit cells of half-wavelength inter-cell spacing, which were optimized to offer a specific non-specular 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_07359 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Characterization of Indoor RIS-Assisted Channels at 304 GHz: Experimental Measurements, Challenges, and Future Directions Alexandropoulos, George C. Jung, Bo Kum Gavriilidis, Panagiotis Matos, Sérgio Loeser, Lorenz H. W. Elesina, Varvara Clemente, Antonio D'Errico, Raffaele Pessoa, Luís M. Kürner, Thomas Information Theory Emerging Technologies 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 $100\times100$ unit cells of half-wavelength inter-cell spacing, which were optimized to offer a specific non-specular 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. |
| title | Characterization of Indoor RIS-Assisted Channels at 304 GHz: Experimental Measurements, Challenges, and Future Directions |
| topic | Information Theory Emerging Technologies |
| url | https://arxiv.org/abs/2412.07359 |