An RFID-Based Guided Control Node for Batteryless Reconfigurable RF Architectures
This article introduces a passive reconfiguration strategy for RF networks based on radio frequency identification (RFID) integrated circuits (ICs) embedded within guided-wave structures. Each RFID IC is repurposed as a batteryless, addressable dc voltage source capable of biasing RF components, such as varactors and GaAs switches. Unlike conventional over-the-air (OTA) architectures, the proposed approach eliminates tag antennas by integrating the ICs directly into microwave transmission lines, where power, control, and signal share the same RF path. A dedicated multichip test platform is developed to experimentally characterize the IC behavior in this novel configuration, evaluating impedance variation, activation thresholds, and output stability. Measurements on a commercial RFID chip demonstrate reliable operation with only −15 dBm of incident RF power, and sufficient dc output to drive over 1000 GaAs SPST switches or 10 000 varactors. To validate the concept, a fully passive, four-element monopole array operating at 900 MHz is demonstrated, where each element is gated by an RFID-controlled SPST switch. The array performs beam steering through selective element activation, using a single RF feed to simultaneously energize the array, power the ICs, and transmit EPC Gen2 control commands.
Authors
- Francesco Lestini (ORCID: https://orcid.org/0000-0002-4375-4238)
- Alessandro Di Carlofelice (ORCID: https://orcid.org/0000-0003-1979-0527)
- Gaetano Marrocco (ORCID: https://orcid.org/0000-0003-3151-3071)
- Cecilia Occhiuzzi (ORCID: https://orcid.org/0000-0002-7761-8293)
- Piero Tognolatti (ORCID: https://orcid.org/0000-0003-1267-9017)
Institutions
- University of Rome Tor Vergata (IT)
- University of L'Aquila (IT)
Publication Details
- Journal
- IEEE Transactions on Microwave Theory and Techniques
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1109/tmtt.2025.3627440
- Citations
- 1
- Primary Topic
- Energy Harvesting in Wireless Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.73