Toward Localization in Terahertz-Operating Energy Harvesting Software-Defined Metamaterials: Context Analysis
F. Lemic, S. Abadal, J. Famaey

TL;DR
This paper demonstrates a sub-millimeter accurate, energy-efficient localization method for software-defined metamaterials operating in the Terahertz range, enabling real-time control in energy-constrained environments.
Contribution
It introduces a novel ToF-based localization approach for THz-operating SDMs, achieving high accuracy and availability while considering energy harvesting constraints.
Findings
Achieves sub-millimeter localization accuracy
Maintains over 80% service availability
Operates effectively with energy harvesting constraints
Abstract
Software-defined metamaterials (SDMs) represent a novel paradigm for real-time control of metamaterials. SDMs are envisioned to enable a variety of exciting applications in the domains such as smart textiles and sensing in challenging conditions. Many of these applications envisage deformations of the SDM structure (e.g., rolling, bending, stretching). This affects the relative position of the metamaterial elements and requires their localization relative to each other. The question of how to perform such localization is, however, yet to spark in the community. We consider that the metamaterial elements are controlled wirelessly through a Terahertz (THz)-operating nanonetwork. Moreover, we consider the elements to be energy constrained, with their sole powering option being to harvest environmental energy. For such a setup, we demonstrate sub-millimeter accuracy of the two-way Time of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
Methodstravel james
