Adaptive Alarm Threshold Prediction in 4G Mobile Networks: A Percentile-Guided Deep Learning Framework with Interpretable Outputs
arXiv 2605.00838•967c491dec674e0dbba840fff50e673bda38f92df2d9fe0559eb5019adea1ef8
1DCNN5GAIIMAndroidByzantine clientsIQ samplesMORPHO-RANOpenAirInterfaceOpenRANPRB allocationPRB schedulingRF jamming detectionShieldShareVPNfederated learninghotspotjammingmodel poisoningnear-RT RICprivacyproxy-based VPNs (HTTP/HTTPS/SOCKS5) /traffic accounting","eUPFreinforcement learningsrsRANxApp
Paper metadata
- arXiv ID
- 2605.00838
- Version
- Not specified by this published record
- Category
- Computer Science — Networking and Internet Architecture (cs.NI)
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
Evidence and limitations
- Source ID
- arxiv_cs_ni
- Record identifier
- 967c491dec674e0dbba840fff50e673bda38f92df2d9fe0559eb5019adea1ef8
- Enrichment time
- 2026-05-05T07:23:52Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.