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BRISC: A Dataset of Channel Measurements at 5 GHz With a Reflective Intelligent Surface

Mattia Piana, Giovanni Angelo Alghisi, Anna Valeria Guglielmi, Giovanni Perin, Francesco Gringoli, Stefano Tomasin

Abstract

We introduce the broadband reconfigurable intelligent surface (RIS) channel (BRISC) dataset. The dataset comprises measurements of channel state information (CSI) collected at 5.53 GHz using a 256-element RIS with binary states. In the measurement campaign, the transmitter and receiver are two software defined radios (SDRs), phase-synchronized via an OctoClock, where the transmitter (receiver) is equipped with one (two) antenna(s). To manage complexity, the RIS elements are grouped into blocks of different sizes, where all elements within a block share the same state. CSIs have been captured for multiple a) transmitter positions (and fixed receiver location), b) pilot block sizes, and c) state configurations. Furthermore, we calibrated the parameters of state-of-the-art RIS channel models to fit the measured CSI. With approximately 10000 configurations explored per transmitting position, BRISC serves as a robust benchmark in communication applications. We also show here an example of its use for physical-layer authentication.

BRISC: A Dataset of Channel Measurements at 5 GHz With a Reflective Intelligent Surface

Abstract

We introduce the broadband reconfigurable intelligent surface (RIS) channel (BRISC) dataset. The dataset comprises measurements of channel state information (CSI) collected at 5.53 GHz using a 256-element RIS with binary states. In the measurement campaign, the transmitter and receiver are two software defined radios (SDRs), phase-synchronized via an OctoClock, where the transmitter (receiver) is equipped with one (two) antenna(s). To manage complexity, the RIS elements are grouped into blocks of different sizes, where all elements within a block share the same state. CSIs have been captured for multiple a) transmitter positions (and fixed receiver location), b) pilot block sizes, and c) state configurations. Furthermore, we calibrated the parameters of state-of-the-art RIS channel models to fit the measured CSI. With approximately 10000 configurations explored per transmitting position, BRISC serves as a robust benchmark in communication applications. We also show here an example of its use for physical-layer authentication.
Paper Structure (15 sections, 5 figures, 1 table)

This paper contains 15 sections, 5 figures, 1 table.

Table of Contents

  1. Introduction
  2. RIS: Usage and Channel Measurements
  3. Experimental Setup and Data Acquisition
  4. Measurement and RIS Switching Procedure
  5. Dataset Analysis
  6. Use Case: Physical-Layer Authentication
  7. Conclusions
  8. Acknowledgment
  9. Biographies

Figures (5)

  • Figure 1: Photograph of the experimental testbed used for the measurement campaign, highlighting the transmitting antenna tx and the $16\times16$RIS prototype mounted on its support structure.
  • Figure 2: Measurement setup and geometry of the experimental scenario.
  • Figure 3: NMSE for different models as a function of the number of fitting (or training) samples.
  • Figure 4: Magnitude (top) and phase (bottom) for $4$ different RIS configurations. The solid line represents the predicted channels, while the dashed lines refer to the measured ones.
  • Figure 5: Empirical DET curves obtained by selecting RIS configurations based on a capacity threshold and by varying the number of channel subcarriers used for authentication $N$. Only those configurations that limit the rate reduction to a maximum of 10% have been used. Alice and Eve have been considered in positions $1$ and $4$, respectively.