Towards Realistic Waveform-Level IoT Network Simulation via IQ Mixing
arXiv 2604.06408•50f57833b0d4420fe5125e3b740a4c1914f526ad50b20a74869f4bd8940e120c
5G NRBLEIQ mixingIoTLLMsLoRaWANQKDUAVagentic AIconsensuscontextual authenticationfederated learningintent-based networkinginterference coordinationjammingledgermodel poisoningnetwork securitypartition tolerancephysical-layerquantum communicationsplit learningsynchronization attackstime synchronizationwaveform simulation
Paper metadata
- arXiv ID
- 2604.06408
- 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
- 50f57833b0d4420fe5125e3b740a4c1914f526ad50b20a74869f4bd8940e120c
- Enrichment time
- 2026-04-09T07:23:56Z
- AI-assisted enrichment
- Yes
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