A Practical Validation of RIS Detection and Identification

2024-11-10

IEEE Transactions on Vehicular Technology

AI Summary

Reconfigurable Intelligent Surfaces (RISs) are inherently passive and lack self-identification capability, making RIS detection and identification (RIS-ID) challenging in wireless networks. Method: This paper proposes a lightweight reflective identity modulation scheme that embeds unique identity information into RIS-reflected signals. Leveraging channel response feature extraction and a joint time-frequency domain detection algorithm, the approach achieves low-overhead, high-robustness RIS-ID. Contribution/Results: To the best of our knowledge, this is the first end-to-end experimental validation of RIS-ID on a real mmWave hardware platform. Extensive measurements across diverse scenarios demonstrate an identification accuracy exceeding 92%, significantly outperforming existing baseline methods. The work establishes a practical technical pathway and empirical foundation for autonomous sensing and intelligent networking in RIS-aided communication systems.

Technology Category

• Intelligent Robots: Multimodal Perception & Sensor Fusion
• Search and Optimization: Metareasoning and Metaheuristics
• Planning, Routing, and Scheduling: Activity and Plan Recognition

Application Category

• Security and Privacy: Large-scale security measurements
• Systems and Infrastructure for Web, Mobile and WoT: Web performance, measurement, and characterization
• Responsible Web: Machine-in-the-loop, human agency and autonomy

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.

Problem

• Validating RIS detection and identification through real-world experiments
• Developing simpler modulation method for passive RIS self-identification
• Solving RIS inability to actively identify themselves to user equipment

Innovation

• Modulating RIS identities in reflected signals
• Proposing a simpler modulation method for RIS
• Validating RIS detection concept with real experiments