Curriculum-Guided Reinforcement Learning for Energy-Efficient UAV-ISAC in Post-Disaster Search-and-Rescue Operations
arXiv 2609.01764•b4d3a9b387abea6ccebd2671048808191d97ef612fbd9cd3b748e5fafc0fa905
5G6GAI agentsHAPSLLM securityMFA automationUAV-ISACWi-Fiaccess pointsbenchmark provenanceedge MLencrypted traffic classificationextended identifiersfactor collapsehallucination propagationmobile agentsnetwork resiliencenetwork slicingonline advertisingprivacywireless networks
Paper metadata
- arXiv ID
- 2609.01764
- 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
- b4d3a9b387abea6ccebd2671048808191d97ef612fbd9cd3b748e5fafc0fa905
- Enrichment time
- 2026-09-03T07:23:45Z
- AI-assisted enrichment
- Yes
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