DRASTIC: A Dynamic Resource Allocation Framework over 6G Network Slicing in Task-aware Closed-Loop Tactile Internet Applications

2026-03-31T07:23:57Z517a02eac11ee219ea1c010dcbf0ad86fb82b8490305bd2b75371736b612647b
5G-core6GCF-mMIMOFSOFaaSHDRLIoVNGAPO-RANOpen5GSSCTPUAVaerial-terrestrial-6Gcloud-nativefree5GCfronthaulfunctional-splitmmWavenetwork-slicingreinforcement-learningroutingsatellite-OSsublsYUHENG-OS-mismatch-correction-neededserverlesstactile-internetvehicular-networks

What happened

This feed contains nine new arXiv submissions (networking and systems research) covering: (1) DRASTIC — an RL-driven dynamic resource allocation framework for 6G network slicing targeting tactile-Internet (task-aware closed-loop queues, probabilistic delay guarantees); (2) Serverless5GC — decomposes 5G core control-plane procedures into Function-as-a-Service invocations enabling scale-to-zero private/edge 5G cores (SCTP/NGAP proxy to HTTP-based backend, claims parity with Open5GS latency and cost-savings under low duty cycles); (3) Fronthaul planning for CF-mMIMO in O-RAN — hybrid fiber/mmWave

Why it matters

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

Evidence and limitations

Source ID
arxiv_cs_ni
Record identifier
517a02eac11ee219ea1c010dcbf0ad86fb82b8490305bd2b75371736b612647b
Enrichment time
2026-03-31T07:23:57Z
AI-assisted enrichment
Yes

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