Sense Less, Miss Less: Evidence-Driven Sensing Schedules for ISAC

Sense Less, Miss Less: Evidence-Driven Sensing Schedules for ISAC

Seyed Bagher Hashemi Natanzi and Bo Tang propose an evidence-driven schedule for ISAC, which uses the same signals for communication and sensing. Their approach uses data-efficient cumulative-sum (CuSum) change detection to pause sensing when measurements indicate no motion, then sense continuously when they suggest motion. The authors focus on a practical tension: sensing less can save resources for data users, but a brief gesture may begin and end between sensing transmissions and go unnoticed. Their schedule is adapted to OFDM sensing, where data traffic can block sensing requests and measurements can arrive late. In simulations using an articulated human model, the schedule detected 1.5–4.2 times as many limb movements within 200 ms as periodic sensing, with the same monitoring budget and below one false alarm per minute. A tuned two-rate trigger performed similarly; the advantage over periodic sensing also persisted in a simulated room with wall reflections, without retuning or cost matching. The authors’ takeaway is that, under a small budget, measurements should decide when to sense. The reported gains are simulation results, not evidence here of performance in deployed systems.

Publication: eba6416f-3150-4281-82e6-c97f267fba3a

attribution — pass: The proposal and results are correctly credited to the listed authors, Seyed Bagher Hashemi Natanzi and Bo Tang. Source assertions stay framed as the authors' claims or abstract reports.

Authors:Seyed Bagher Hashemi Natanzi, Bo Tang

summary — uncertain: The summary is faithful, but a general reader may not grasp the core setup. It never says a wireless base station detects human motion using its own data signals; it only says ISAC uses the same signals for communication and sensing. OFDM, CuSum change detection, monitoring budget, two-rate trigger and cost matching go unexplained. Smallest repair: state that a base station senses human motion with its data signals, and add term-library tooltips for ISAC, OFDM and CuSum.

Integrated sensing and communication (ISAC) lets a base station detect human motion with the same signals it uses for data, but every sensing transmission takes resources from users.

date — pass: originalPublished is 2026-10-30, which matches the v1 submission date on arXiv. The feed date of Nov 3 was correctly not used.

[Submitted on 30 Oct 2026]

support — pass: The figures 1.5–4.2x, 200 ms and below one false alarm per minute all match the abstract. So do the same monitoring budget, the no-wall-reflection condition, the tuned two-rate trigger result, and the persistence of the gain in the simulated room. The simulation-only caveat is labeled as interpretation and is supported by the abstract. Neither the limitations nor the question adds unsupported benefits.

In simulations without wall reflections, with the same monitoring budget and below one false alarm per minute, it detects 1.5--4.2 times as many limb movements within 200~ms as periodic sensing.

media — pass: The selected media is the verified direct link to the original arXiv abstract page, which matches the source URL. No better source media was found.