CORTEXA
← Browse
arxivcs.ROeess.SP2026-07-03

GDPR-Aware Trajectory Sharing for ISAC-Assisted Robot Navigation: A Case Study on FID-Constrained Collision Prediction

Zexin Fang, Bin Han, Donglin Wang, Fengchen Pei, Hans D. Schotten

Integrated sensing and communication (ISAC) enables intelligent wireless infrastructure but raises growing regulatory concern as fine-grained personal trajectory histories become a byproduct of sensing. General Data Protection Regulation (GDPR) Articles 5(1)(c) and 5(1)(f) require that personal data be limited to what is necessary and protected through appropriate technical measures against unauthorised reconstruction. This paper addresses both requirements through a Fisher information density (FID)-constrained trajectory sharing scheme for robot collision avoidance, where sensing estimates are perturbed according to local information content before sharing. Experiments on real pedestrian traces show that FID-controlled sharing achieves a strictly better privacy-utility tradeoff than fixed-error perturbation: at matched missed-conflict rates, reconstruction leakage and sustained exposure lengths are consistently lower, establishing information-aware perturbation as a principled technical measure aligned with GDPR data minimisation and integrity requirements.

View free PDFSource page

Related papers

arxiveess.SP2026-07-24Cited by 83

Ultra-wideband statistical propagation channel model for implant sensors in the human chest

Ali Khaleghi, Raúl Chávez-Santiago, Ilangko Balasingham

Implant medical wireless sensors for monitoring physiological parameters, automatic drug provision, and so on represent a new promising healthcare technology. Inherent characteristics of ultra-wideband (UWB) radio make this technology highly suitable for the wireless interface of…

View free PDFSource page
arxiveess.SP2026-07-24

Continuous Intra-Symbol Phase Noise Tracking for THz OFDM via Polynomial Reconstruction

Sawatsakorn Chaiyasoonthorn, Ura Klongklaew, Phichai Youplao

Terahertz (THz) communication systems for sixth-generation (6G) networks are severely impaired by Wiener phase noise (WPN), whose innovation variance at sub-THz carriers is substantially larger than in millimeter-wave 5G systems. Conventional common-phase-error (CPE) compensation…

View free PDFSource page
arxiveess.SP2026-07-24

Innovation-Domain Decision-Directed Phase Tracking for Wiener Phase Noise in Fast Rayleigh Fading

Ura Klongklaew, Nithiroth Pornsuwancharoen, Phichai Youplao

This letter proposes an innovation-domain decision-directed phase tracking (ID-DDPT) architecture for coherent detection over Rayleigh fading channels with temporally correlated phase evolution and Wiener phase noise. By reformulating phase tracking into the innovation domain, re…

View free PDFSource page
arxiveess.SP2026-07-24Cited by 132

Propagation models for IEEE 802.15.6 standardization of implant communication in body area networks

Raul Chavez-Santiago, Kamran Sayrafian-Pour, Ali Khaleghi, Kenichi Takizawa, Jianqing Wang, Ilangko Balasingham, et al.

A body area network is a radio communication protocol for short-range, low-power, and highly reliable wireless communication for use on the surface, inside, or in the peripheral proximity of the human body. Combined with various biomedical sensors, BANs enable realtime collection…

View free PDFSource page
arxiveess.SPphysics.app-ph2026-07-24

Noise-Robust Frequency Estimation via Overlapped Sampling-Intervals Zero-Crossing Fitting

Phichai Youplao, Nithiroth Pornsuwancharoen, Yusaku Fujii

The trade-off between noise averaging and temporal resolution fundamentally limits conventional zero-crossing frequency estimators under dynamic and noisy conditions. This paper presents an overlapped sampling-intervals zero-crossing fitting method (OS-ZFM), which introduces a st…

View free PDFSource page