Table of Contents
Fetching ...

A Practical Validation of RIS Detection and Identification

Recep Vural, Aymen Khaleel, Ertugrul Basar

TL;DR

This work addresses the challenge of identifying reachable RISs in RIS-assisted communications by introducing a phase-aware, amplitude-modulation scheme that maps RIS IDs to amplitude reflection patterns (ARP). The UE emits an unmodulated carrier while RISs modulate the reflected signal according to ARP symbols; a correlation-based detector over circularly shifted ARPs detects reachability, using a Walsh–Hadamard code subset to maintain orthogonality in asynchronous settings. The approach is validated experimentally with a 76-element RIS and SDR hardware across scenarios where RIS 1 is reachable, both RISs are reachable, or none are reachable, reporting false-alarm and miss-detection metrics and showing robustness to synchronization offsets. The results demonstrate practical RIS-ID capability and provide insights into how Tx gain and ARP length $M$ influence detection performance, with implications for deploying RIS-ID alongside beamforming and localization in future networks.

Abstract

Reconfigurable intelligent surface (RIS)-assisted communication is a key enabling technology for next-generation wireless communication networks, allowing for the reshaping of wireless channels without requiring traditional radio frequency (RF) active components. While their passive nature makes RISs highly attractive, it also presents a challenge: RISs cannot actively identify themselves to user equipments (UEs). Recently, a new method has been proposed to detect and identify RISs by letting them modulate their identities in the signals reflected from their surfaces. In this letter, we first propose a new and simpler modulation method for RISs and then validate the concept of RIS detection and identification (RIS-ID) using a real-world experimental setup. The obtained results validate the RIS-ID concept and show the effectiveness of our proposed modulation method over different operating scenarios and systems settings.

A Practical Validation of RIS Detection and Identification

TL;DR

This work addresses the challenge of identifying reachable RISs in RIS-assisted communications by introducing a phase-aware, amplitude-modulation scheme that maps RIS IDs to amplitude reflection patterns (ARP). The UE emits an unmodulated carrier while RISs modulate the reflected signal according to ARP symbols; a correlation-based detector over circularly shifted ARPs detects reachability, using a Walsh–Hadamard code subset to maintain orthogonality in asynchronous settings. The approach is validated experimentally with a 76-element RIS and SDR hardware across scenarios where RIS 1 is reachable, both RISs are reachable, or none are reachable, reporting false-alarm and miss-detection metrics and showing robustness to synchronization offsets. The results demonstrate practical RIS-ID capability and provide insights into how Tx gain and ARP length influence detection performance, with implications for deploying RIS-ID alongside beamforming and localization in future networks.

Abstract

Reconfigurable intelligent surface (RIS)-assisted communication is a key enabling technology for next-generation wireless communication networks, allowing for the reshaping of wireless channels without requiring traditional radio frequency (RF) active components. While their passive nature makes RISs highly attractive, it also presents a challenge: RISs cannot actively identify themselves to user equipments (UEs). Recently, a new method has been proposed to detect and identify RISs by letting them modulate their identities in the signals reflected from their surfaces. In this letter, we first propose a new and simpler modulation method for RISs and then validate the concept of RIS detection and identification (RIS-ID) using a real-world experimental setup. The obtained results validate the RIS-ID concept and show the effectiveness of our proposed modulation method over different operating scenarios and systems settings.

Paper Structure

This paper contains 10 sections, 3 equations, 7 figures, 1 algorithm.

Figures (7)

  • Figure 1: A UE aims to identify nearby reachable RISs.
  • Figure 2: The experiment setup to validate the RIS-ID scheme.
  • Figure 3: The effect of Tx gain and ARP length $M$ on $\overline{D^{(l)}_{\text{max}}}$ for RIS 1 and RIS 2 in "RIS 1 Reachable" scenario.
  • Figure 4: The effect of the Tx gain on $P_{miss}$ of RIS 1 and $P_{F}$ of RIS 2 in "RIS 1 Reachable" scenario.
  • Figure 5: The impact of $M$ on $\overline{D^{(l)}_{\text{max}}}$ for RIS 1 and RIS 2 in "Both RISs reachable" scenario.
  • ...and 2 more figures