arxiv
PublishedApril 13, 2026 at 4:00 AM
Universal Approximation with XL MIMO Systems: OTA Classification via Trainable Analog Combining
Publisher summary· verbatim
arXiv:2504.12758v3 Announce Type: replace-cross Abstract: In this paper, we show that an eXtremely Large (XL) Multiple-Input Multiple-Output (MIMO) wireless system with appropriate analog combining components exhibits the properties of a universal function approximator, similar to a feedforward neur
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning13harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning13harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models13harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents13hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗