Urban RIS-Assisted HAP Networks: Performance Analysis Using Stochastic Geometry
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909652412792832 |
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| author | Tanash, Islam M. Dwivedi, Ayush Kumar Riihonen, Taneli |
| author_facet | Tanash, Islam M. Dwivedi, Ayush Kumar Riihonen, Taneli |
| contents | This paper studies a high-altitude platform (HAP) network supported by reconfigurable intelligent surfaces (RISs). The practical irregular placement of HAPs and RISs is modeled using homogeneous Poisson point processes, while buildings that cause blockages in urban areas are modeled as a Boolean scheme of rectangles. We introduce a novel approach to characterize the statistical channel based on generalized Beta prime distribution. Analytical expressions for coverage probability and ergodic capacity in an interference-limited system are derived and validated through Monte Carlo simulations. The findings show notable performance improvements and reveal the impact of various system parameters, including blockages effect which contribute in mitigating interference from the other visible HAPs. This proposed system could enhance connectivity and enable effective data offloading in urban environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_15338 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Urban RIS-Assisted HAP Networks: Performance Analysis Using Stochastic Geometry Tanash, Islam M. Dwivedi, Ayush Kumar Riihonen, Taneli Signal Processing This paper studies a high-altitude platform (HAP) network supported by reconfigurable intelligent surfaces (RISs). The practical irregular placement of HAPs and RISs is modeled using homogeneous Poisson point processes, while buildings that cause blockages in urban areas are modeled as a Boolean scheme of rectangles. We introduce a novel approach to characterize the statistical channel based on generalized Beta prime distribution. Analytical expressions for coverage probability and ergodic capacity in an interference-limited system are derived and validated through Monte Carlo simulations. The findings show notable performance improvements and reveal the impact of various system parameters, including blockages effect which contribute in mitigating interference from the other visible HAPs. This proposed system could enhance connectivity and enable effective data offloading in urban environments. |
| title | Urban RIS-Assisted HAP Networks: Performance Analysis Using Stochastic Geometry |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2506.15338 |