Comparative Analysis of Ray Tracing and Rayleigh Fading Models for Distributed MIMO Systems in Industrial Environments
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arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866913715288276992 |
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| author | Jaziri, Aymen Demmer, David Corre, Yoann Doré, Jean-Baptiste Ruyet, Didier Le Shaiek, Hmaied Chevalier, Pascal |
| author_facet | Jaziri, Aymen Demmer, David Corre, Yoann Doré, Jean-Baptiste Ruyet, Didier Le Shaiek, Hmaied Chevalier, Pascal |
| contents | This paper presents a detailed analysis of coverage in a factory environment using realistic 3D map data to evaluate the benefits of Distributed MIMO (D-MIMO) over colocalized approach. Our study emphasizes the importance of network densification in enhancing D-MIMO performance, ensuring that User Equipment (UE) remains within range of multiple Access Points (APs). To assess MIMO capacity, we compare two propagation channel models: ray tracing and stochastic. While ray tracing provides accurate predictions by considering environmental details and consistent correlations within the MIMO response, stochastic models offer a more generalized and efficient approach. The analysis outlines the strengths and limitations of each model when applied to the simulation of the downlink (DL) and uplink (UL) single-user capacity in various D-MIMO deployment scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_01300 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Comparative Analysis of Ray Tracing and Rayleigh Fading Models for Distributed MIMO Systems in Industrial Environments Jaziri, Aymen Demmer, David Corre, Yoann Doré, Jean-Baptiste Ruyet, Didier Le Shaiek, Hmaied Chevalier, Pascal Networking and Internet Architecture Emerging Technologies Numerical Analysis This paper presents a detailed analysis of coverage in a factory environment using realistic 3D map data to evaluate the benefits of Distributed MIMO (D-MIMO) over colocalized approach. Our study emphasizes the importance of network densification in enhancing D-MIMO performance, ensuring that User Equipment (UE) remains within range of multiple Access Points (APs). To assess MIMO capacity, we compare two propagation channel models: ray tracing and stochastic. While ray tracing provides accurate predictions by considering environmental details and consistent correlations within the MIMO response, stochastic models offer a more generalized and efficient approach. The analysis outlines the strengths and limitations of each model when applied to the simulation of the downlink (DL) and uplink (UL) single-user capacity in various D-MIMO deployment scenarios. |
| title | Comparative Analysis of Ray Tracing and Rayleigh Fading Models for Distributed MIMO Systems in Industrial Environments |
| topic | Networking and Internet Architecture Emerging Technologies Numerical Analysis |
| url | https://arxiv.org/abs/2503.01300 |