Eff-WRFGS: Efficient Wireless Radiance Field Using 3D Gaussian Splatting
2026-05-18T08:51:41Z•a1a6de49a90ae51b7a9bbc35afb6286c0827cd2c947faef1ef7d7f435cd3f2ee
3D gaussian splattingCITYMPCCSIESP32ISACIoTRF fingerprintingSTAR‑RISTFZ‑Treeadaptive noisecVAEchannel modelingcontrastive learningenergy harvesting (WPT)`,`federated learninglightweight MLopen‑set authenticationprivacyradiance fieldsradio mapsray tracing datasetsecrecysequential beamformingwaveform classificationwireless communications
What happened
Collection of 11 arXiv papers (18 May 2026) on next‑generation wireless modeling, sensing, and lightweight signal processing. Highlights: Eff‑WRFGS — efficient wireless radiance fields via 3D Gaussian splatting (up to 44× storage reduction, 7× render speed-up); CITYMPC — cVAE generator for complete per‑path multipath component (MPC) parameters from imagery/height maps plus a large multi‑city ray‑traced benchmark and dataset release; Privacy‑Preserving Federated Radio Map Learning — budget‑constrained adaptive noise allocation to reduce transmitter‑location leakage in federated RadioUNet; CONTR
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- a1a6de49a90ae51b7a9bbc35afb6286c0827cd2c947faef1ef7d7f435cd3f2ee
- Enrichment time
- 2026-05-18T08:51:41Z
- AI-assisted enrichment
- Yes
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