Commercial RFIDs as Reconfigurable Intelligent Surfaces
Jingyu Tong, Xiaopeng Zhao, Zhicheng Wang, Donghui Dai, Zhenlin An, Lei Yang
Abstract
Reconfigurable Intelligent Surfaces (RISs) are emerging as cost-effective solutions for enhancing signal transmission in wireless networks. Traditional RIS designs, however, face challenges such as bulkiness, high production costs, limited scalability, and intricate installation due to their reliance on wired connections. In this work, we innovate by repurposing 920MHz RFID tags into battery-free unit cells, creating an affordable, scalable, and flexible one-bit phase-modulated RIS. This novel system, referred to as MetaMosaic, is engineered for compatibility with 2.4GHz Wi-Fi communications while being controlled at a 920MHz frequency. Our approach is distinguished by two primary innovations: the conversion of RFID tags into functional unit cells, and the development of a bespoke neural radiance field to identify the most effective reconfiguration strategy. We constructed six MetaMosaic surfaces, each comprising 403 cells, using a total of 2,418 repurposed RFID tags at a cost of 50 cents per tag. Our extensive testing in ten varied environments demonstrates that MetaMosaic substantially boosts signal strength, achieving a mean of 19dB gain (i.e., 80 ×) over non-RIS setups. This outperforms current leading RIS systems by a 3-fold improvement. In the context of XR application, the field study showcases a more than doubling of throughput and a halving of latency.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get 41de314b-4365-480d-989e-3bc6854b0629Cited by top-tier papers1
Ask how each one uses itRelated papers
- The Battle of Metasurfaces: Understanding Security in Smart Radio EnvironmentsPaul Staat, Christof Paar, Swarun KumarS&P 2026
- FlowForm: Scalable Passive Metasurface Network for mmWave Coverage ExpansionWuqiong Zhao, Baicheng Chen, Kai Zheng, Xingyu Chen et al.SIGCOMM 2026
- MARISA: A Self-configuring Metasurfaces Absorption and Reflection Solution Towards 6GAntonio Albanese, Francesco Devoti, Vincenzo Sciancalepore, Marco Di Renzo et al.INFOCOM 2022 · 58 citations
- RFMagus: Programming the Radio Environment With Networked MetasurfacesXinyi Li, Gaoteng Zhao, Ling Chen, Xinyu Zhang et al.MobiCom 2024 · 14 citations
- RFlens: metasurface-enabled beamforming for IoT communication and sensingChao Feng, Xinyi Li, Yangfan Zhang, Xiaojing Wang et al.MobiCom 2021 · 60 citations
