Anycast Performance in Context
arXiv 2606.04298•4c8c58036f819dec95169973f9d2cbc25454ef0e3788dfebe7dac2f26137d392
5G6GBeGREENCDNCOSMOCoMPDNSLSTMO-RANPTGAMoEPrompt-Decision-TransformerPromptDTRAN-orchestrationRRManycastcell-on/offencrypted-traffic-analysisenergy-efficiencyexplainable-AIintent-based-networkingintent-drift`,`flow-telemetry`,`honeynet`,latency-modelingradio-resource-managementsubscriber-churntraffic-classification
Paper metadata
- arXiv ID
- 2606.04298
- 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
- 4c8c58036f819dec95169973f9d2cbc25454ef0e3788dfebe7dac2f26137d392
- Enrichment time
- 2026-06-04T07:23:49Z
- AI-assisted enrichment
- Yes
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