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Experimental Over-the-Air Diagnosis of 1-Bit RIS Based on Complex Signal Measurements

Yifa Li, Fengchun Zhang, Kim Olesen, Zhinong Ying, Wei Fan

2024IEEE Antennas and Wireless Propagation Letters12 citationsDOIOpen Access PDF

Abstract

The reconfigurable intelligent surface (RIS), is regarded as a promising technology for enhancing wireless system performance. The RIS design typically comprises a substantial number of cost-effective RIS elements. RIS diagnosis, which aims at identifying faulty RIS elements, is essential to ensure the RIS functions as intended. In this letter, a low-cost, robust, fast, yet highly effective over-the-air (OTA) diagnosis method based on complex signal measurements is proposed to detect the faulty phase shifters in passive 1-bit RISs. This method only requires a phase inversion operation (i.e., <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$0^{o}$</tex-math></inline-formula> and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$180^{o}$</tex-math></inline-formula> phase states) for each RIS element. The algorithm is experimentally validated using a commercial RIS operating at 3.5 GHz in a mid-field anechoic measurement setup, (i.e., with a measurement distance much smaller than the Fraunhofer far-field distance of the RIS) demonstrating its effectiveness and robustness in practical setups.

Topics & Concepts

Bit (key)SIGNAL (programming language)Electronic engineeringComputer scienceAcousticsMaterials sciencePhysicsEngineeringComputer securityProgramming languageIoT Networks and ProtocolsAdvanced Wireless Communication TechnologiesEnergy Harvesting in Wireless Networks