Characterizing the Configuration of Starlink Queuing
2026-05-28T07:23:50Z•3f194d4859636114682c1d2e8dd970ab4a89fe00ae72dfb71a1cbadc6e0bd642
140 GHz5G6GGTP-ULEOPFCPRTTStarlinkTC-BPFTHzTONS (Throughput Optimized Networks at Scale)`,`routing`,`dead‑/TPUUAVUPFcellularcontainerisationdatacenter networksdrop-front buffershandoverlatencymeasurement platformmidhaulnetwork slicingqueue managementsatellite communications
What happened
This collection of networking research (arXiv, May 28 2026) covers measurement, design, and security for satellite/LEO (Starlink), cellular/UAV, 5G/6G, datacenter, and routing systems. Key findings include: Starlink access network uses drop-front buffer management (not per-flow fair queuing or drop-tail), which can reduce delay but interact poorly with loss-based congestion control; an open UAV measurement platform shows Starlink LEO links achieve much lower latency and higher downlink capacity than a major US cellular provider while higher flight altitudes increase handover rates and RTT asym
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_ni
- Record identifier
- 3f194d4859636114682c1d2e8dd970ab4a89fe00ae72dfb71a1cbadc6e0bd642
- Enrichment time
- 2026-05-28T07:23:50Z
- AI-assisted enrichment
- Yes
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