Comparative Analysis of Ray Tracing and Rayleigh Fading Models for Distributed MIMO Systems in Industrial Environments
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.
Authors
- Yoann Corre (ORCID: https://orcid.org/0000-0002-6030-5979)
- Hmaied Shaïek (ORCID: https://orcid.org/0000-0001-9974-7830)
- Aymen Jaziri (ORCID: https://orcid.org/0000-0003-0955-7051)
- Jean‐Baptiste Doré (ORCID: https://orcid.org/0000-0001-6673-5876)
- Pascal Chevalier (ORCID: https://orcid.org/0000-0002-1029-591X)
- David Demmer (ORCID: https://orcid.org/0000-0001-7745-0200)
- Didier Le Ruyet
Institutions
- Conservatoire National des Arts et Métiers (FR)
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- Centre d'Etudes et De Recherche en Informatique et Communications (FR)
- Laboratoire d'Électronique des Technologies de l'Information (FR)
Publication Details
- Published
- 2025-03-30
- DOI
- https://doi.org/10.23919/eucap63536.2025.10999553
- Citations
- 1
- Primary Topic
- Telecommunications and Broadcasting Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.14