BRISC: A Dataset of Channel Measurements With a Reflective Intelligent Surface at 5 GHz
Authors/Creators
Description
This repository contains:
- antennaLog_posX.mat: refers to the CSI acquisition with the log-periodic antenna (X indicates the position index of the TX antenna)
- antennaDipole_posX.mat: refers to the CSI acquisition with the dipole antenna
- configurations_10000: the 10k RIS configurations used represented in hexadexial values. The
The structure of the files is as follows:
-csi: an array of complex values with size [subcarrier_N x frame_N]. Specifically, frame_N is the number of total frames correctly processed at this position, while subcarrier_N is the number of subcarriers (242)
- confStr: an array of strings with size [frame_N x 1]. The i-th string indicates the configuration associated with the i-th extracted CSI.
- confId: an array with size [1 x frame_N]. This is similar to confStr because the i-th element is associated with the i-th processed CSI. However, each element is a number between 1 and 10k, which positionally identifies the configuration from the `configurations_10000.mat`.
- sqn: an array indicating, for each processed CSI, the sequence counter extracted from the Wi-Fi frame. This is a value between 0 and 4095.
- coarsets: reception timestamp.
---
Example
If you want to get all the CSI values associated with configuration number 1000, find the indices of all the elements in confId equal to 1000, and select the corresponding columns from the CSI matrix (each column is a CSI with 242 subcarriers).
Explanations relative to measurement setup, configurations choice etc. are available at:
title={BRISC: A Dataset of Channel Measurements at 5 GHz With a Reflective Intelligent Surface},
author={Mattia Piana and Giovanni Angelo Alghisi and Anna Valeria Guglielmi and Giovanni Perin and Francesco Gringoli and Stefano Tomasin},
year={2026},
eprint={2602.21102},
archivePrefix={arXiv},
primaryClass={eess.SP},
url={https://arxiv.org/abs/2602.21102},
}
Scripts used to process the data and attain the results in [1] are available at:
https://github.com/MattiaP1999/BRISC_RIS_dataset_scripts
Files
Files
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Additional details
Software
- Repository URL
- https://github.com/MattiaP1999/BRISC_RIS_dataset_scripts/