Analyzing Interaction Between CCAs and Traffic Policers

2026-07-14T07:23:51Z0d841446019ae1bba912455f5aacf7b752d9631eaa43b5bce696cd2bc9a1811f
3GPP5G fronthaulAccurate SchedulingCSIGNSS spoofingNVIDIA ConnectXO-RANPTPROS2SA3SA5TDD networksTR 33.894TS 28.111TS 28.552TS 38.104Time-Sensitive Networkingcongestion controledge SLAMgrandmaster clockshardware timestampingphantom queuetiming synchronizationtoken buckettraffic policers

What happened

Collection of recent networking and systems research with several operational-security implications: a 3GPP-aligned GNSS spoofing detection and monitoring framework for TDD networks (high detection rates in simulation, integrates with existing SA5/SA3 management structures); experimental characterization of NVIDIA ConnectX-7 Accurate Scheduling and hardware timestamping showing ~±7–8 ns timestamp variation and ~99% of scheduled transmits within ±900 ns (occasional ~5 µs outliers), relevant to 5G fronthaul vs. TSN determinism; a formal framework for interaction between congestion control (CCAs)

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_ni
Record identifier
0d841446019ae1bba912455f5aacf7b752d9631eaa43b5bce696cd2bc9a1811f
Enrichment time
2026-07-14T07:23:51Z
AI-assisted enrichment
Yes

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