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)

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Evidence and limitations

Source ID
arxiv_cs_ni
Record identifier
967c491dec674e0dbba840fff50e673bda38f92df2d9fe0559eb5019adea1ef8
Enrichment time
2026-05-05T07:23:52Z
AI-assisted enrichment
Yes

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Adaptive Alarm Threshold Prediction in 4G Mobile Networks: A Percentile-Guided Deep Learning Framework with Interpretable Outputs · Baitaphish