Entropy-Adaptive Multi-Map Chaotic Modulation for Physical-Layer Security
2026-07-10T08:51:39Z•3ced5bd7b2f9f530a2145df05f73b49feee52b4a6c1c0ed74d1b7f06491a1960
DKDNetDoA estimationGSRHankel Newton-MUSICISACRIS placementSpO2atomic receiversautomatic modulation classificationbeamformingchaotic modulationcoverage optimizationdigital twins (DT) with GenAIdomain adaptationeavesdropper mitigationentropy-adaptiveintrusion detectionmulti-band sensingphotoplethysmography (PPG)physical-layer securityprivacy riskquantum RF-to-opticalreconfigurable intelligent surfacesecrecy capacitywearable health
What happened
Collection of recent arXiv papers (published 2026-07-10) covering advances in wireless sensing, communications, and wearable biosignal processing. Key items: an entropy-adaptive multi-map chaotic modulation framework (MU-DE-IAEACM-MM) designed to raise physical-layer secrecy and detect intrusion; optimal multi-RIS placement for coverage-guaranteed sum-rate maximization; multiple wearable biosignal methods (SpO2 predictor-guided time–frequency PPG reconstruction, low-rate wrist SpO2 estimation, unit‑independent low-rate wrist GSR for stress detection) that improve estimation from noisy/low-rate
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 3ced5bd7b2f9f530a2145df05f73b49feee52b4a6c1c0ed74d1b7f06491a1960
- Enrichment time
- 2026-07-10T08:51:39Z
- AI-assisted enrichment
- Yes
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