Analyzing Interaction Between CCAs and Traffic Policers
2026-07-14T07:23:51Z•0d841446019ae1bba912455f5aacf7b752d9631eaa43b5bce696cd2bc9a1811f
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
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.