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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.09478 |
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| _version_ | 1866915544698978304 |
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| author | Beyraghi, Sina Shabanpour, Javad Geraci, Giovanni Almasan, Paul Lozano, Angel |
| author_facet | Beyraghi, Sina Shabanpour, Javad Geraci, Giovanni Almasan, Paul Lozano, Angel |
| contents | This work introduces a fully-automated RIS deployment strategy validated through a digital twin, powered by Sionna ray tracing, of a UK city. On a scene calibrated with measured data, the method jointly optimizes RIS placement, orientation, configuration, and BS beamforming across 4G, 5G, and hypothetical 6G frequencies. Candidate RIS sites are identified via scattering-based rays, while user clustering reduces deployment overhead. Results show that meaningful coverage enhancement requires dense, large-aperture RIS deployments, raising questions about the practicality and cost of large-scale RIS adoption. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_09478 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Site-Specific RIS Deployment in Cellular Networks via Calibrated Ray Tracing Beyraghi, Sina Shabanpour, Javad Geraci, Giovanni Almasan, Paul Lozano, Angel Information Theory This work introduces a fully-automated RIS deployment strategy validated through a digital twin, powered by Sionna ray tracing, of a UK city. On a scene calibrated with measured data, the method jointly optimizes RIS placement, orientation, configuration, and BS beamforming across 4G, 5G, and hypothetical 6G frequencies. Candidate RIS sites are identified via scattering-based rays, while user clustering reduces deployment overhead. Results show that meaningful coverage enhancement requires dense, large-aperture RIS deployments, raising questions about the practicality and cost of large-scale RIS adoption. |
| title | Site-Specific RIS Deployment in Cellular Networks via Calibrated Ray Tracing |
| topic | Information Theory |
| url | https://arxiv.org/abs/2510.09478 |