Quality-Aware Denoising of Ultra-Short TDoA Measurements for 5G-NR UAV Localization
2026-04-13T08:51:42Z•2d70737eaed9a58545b767309a3962eb74c83883f646047cbbaa79612b268183
5G-NRAGESBEACONCDiTFisher Information DensityGDPRISACMIMO-OFDMPrivacy Leak RatioRISTDoAUAV localizationartificial noiseautomatic modulation classificationbackscatter communication','direct-link suppression','satelliteMbeamformingchannel estimationdenoisingdiffusion modelsearly-exitedge/IoT inferenceliquid crystal RISsecure communicationstrajectory privacywideband
What happened
Collection of recent wireless-communications and sensing preprints exploring methods that impact positioning, privacy, channel estimation, and secure transmission. Highlights include AGES — a quality-aware denoiser for ultra-short 5G-NR TDoA sequences to improve UAV localization; a Fisher Information Density (FID)-constrained ISAC trajectory-sharing framework that enforces GDPR-aligned local privacy bounds and limits reconstructability (Privacy Leak Ratio); BEACON, a benefit-aware early-exit scheme for on-device automatic modulation classification to reduce compute while preserving accuracy; a
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 2d70737eaed9a58545b767309a3962eb74c83883f646047cbbaa79612b268183
- Enrichment time
- 2026-04-13T08:51:42Z
- AI-assisted enrichment
- Yes
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