MI-ISAC: Magneto-Inductive Integrated Sensing and Communication in the Reactive Near-Field for RF-Denied Environments
Haofan Dong, Ozgur B. Akan

TL;DR
This paper introduces MI-ISAC, a magneto-inductive approach for integrated sensing and communication in RF-denied environments, achieving high accuracy and robustness by exploiting reactive near-field coupling.
Contribution
The paper presents a novel magneto-inductive ISAC paradigm that leverages reactive near-field coupling for effective sensing and communication in RF-denied environments, with foundational theoretical and practical results.
Findings
Tri-axial coils enable joint range-and-angle estimation.
Coupling strength varies sharply with range, allowing sub-millimeter accuracy.
Coupling gradient provides high-resolution sensing despite narrow bandwidth.
Abstract
Radio-frequency integrated sensing and communication (RF-ISAC) is ineffective inunderground, underwater, and in-body environments where conductive media attenuate electromagnetic waves by tens of dB per meter. This article presents magneto-inductive ISAC (MI-ISAC), a paradigm that exploits the reactive near-field quasi-static coupling inherent to MI links, enabling a fundamentally different approach to ISAC in these RF-denied environments. Five foundational results are established: (i)~tri-axial coils are necessary and sufficient for identifiable joint range-and-angle estimation; (ii)~coupling strength changes sharply with range, enabling theoretical sub-millimeter accuracy at typical MI distances despite kHz-level bandwidth; (iii)~time-of-flight is ineffective under such narrow bandwidth, but the coupling gradient provides approximately six orders of magnitude finer resolution;…
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
TopicsUnderwater Vehicles and Communication Systems · Indoor and Outdoor Localization Technologies · Direction-of-Arrival Estimation Techniques
