SIRADEL Ray-Tracing MIMO channel samples (in-factory and urban scenarios)

Ray-Tracing MIMO channel samples dataset (in-factory and urban scenarios) by SIRADEL

April 2026.

In the context of new beyond-5G and 6G technology design, the accuracy of virtual testing solution is paramount. A rich MIMO radio channel dataset, grounded in realistic 3D map data and precise antenna positions, is indispensable for achieving this accuracy. Such a dataset provides a detailed and authentic representation of the radio environment, enabling researchers and engineers to conduct thorough analyses and develop robust solutions.

By leveraging realistic data, we can ensure that the designs and performance assessments are not only theoretically sound but also practically viable, leading to more efficient and reliable wireless networks.

In this context, Siradel, a leading player in radio propagation prediction and wireless network design, is pleased to share a dataset of MIMO Channel Samples for indoor, outdoor and mobility scenarios, which were generated based on the Volcano ray-tracing technology, from a wide set of base-stations (BSs) and user-equipments (UEs) locations.

Five simulated scenarios are available:

• FA1: Empty in-factory environment at 3.7 GHz
• FA2: Furnished in-factory environment at 3.7 GHz
• UA1: Dense urban area with base-stations at 3.5 GHz and 6 GHz
• UA2: Large square area within a urban environment at 3.5 GHz and 6 GHz
• VF1 & 2: Mobile UEs in the furnished factory at 3.7 GHz

This data was produced within the POSEIDON and 5GSMARTFACT research projects.

Details may be found in https://hal.science/hal-04692624v2/document.

The data of scenarios VF1 and VF2 is not directly accessible in the repository because of its size; please send a request to the contact persons if interested.

This dataset was exploited for the research works reported in following articles:

• A. Jaziri et al., "Comparative Analysis of Ray Tracing and Rayleigh Fading Models for Distributed MIMO Systems in Industrial Environments," 2025 19th European Conference on Antennas and Propagation (EuCAP), Stockholm, Sweden, 2025.
• D. Demmer et al., "Performance Analysis of Multi-User Distributed MIMO Networks for Industrial Applications using Ray-Tracing Modeling," 2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Istanbul, Turkiye, 2025.
• R. Ochonu, J. Vidal, G. S. Bhatia and Y. Corre, "Uplink and Downlink Slice-aware OFDMA Resource Allocation for Smart Factory Networks," in IEEE Open Journal of the Communications Society.

 The ray-tracing model used is the one described in the following article:

• Gurjot Singh Bhatia et al., "Analysis of 3GPP and Ray-Tracing Based Channel Model for 5G Industrial Network Planning", VTC Fall 2024, Washington DC, USA, Oct. 2024.

We strongly recommend reading the document Resources/MIMO radio channel database - Scenarios Description - v3.pdf before using the data.

The data is licensed under a Creative Commons “CC BY-NC-SA 4.0” license, which excludes any commercial use.
The users are encouraged to publicly communicate the results of studies based on this channel data; and clearly state the source of the data.

When requesting access, please indicate: (1) your institution, (2) your research topic, (3) your intended use of the data.