Planar Gaussian Splatting with Bilinear Spatial Transformer for Wireless Radiance Field Reconstruction

2026-04-30T08:51:48Zafca6af4a3a013ee7df0259987dbc3c59ee3ecc81a0c7453556bd449d947c38d
EM-couplingFPGAGaussian-splattingISACMIMOMKIDMiLACOFDMTHzVCOanalog-computingbeamformingbilinear-spatial-transformerblind-demodulationelectronicsfirmware-optimizationhigher-order-statisticsinterference-alignmentmmWavephase-noisephotonicsradiance-fieldreadoutreinforcement-learningwireless

What happened

Collection of recent wireless-communications and signal-processing papers (arXiv 2604.*). Key contributions include: BiSplat-WRF — a planar Gaussian-splatting framework with a bilinear spatial transformer for physically-aware wireless radiance field reconstruction, improving spatial power spectrum (SPS) synthesis (higher SSIM vs NeRF/prior GS methods); blind OFDM-ISAC using fourth-order tensors and constellation asymmetry for joint sensing and blind coherent demodulation under heavy co-channel interference; multimodal M-ISAC scheduling and tracking via a Lyapunov-driven heterogeneous mixture‑‑

Why it matters

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

Evidence and limitations

Source ID
arxiv_eess_sp
Record identifier
afca6af4a3a013ee7df0259987dbc3c59ee3ecc81a0c7453556bd449d947c38d
Enrichment time
2026-04-30T08:51:48Z
AI-assisted enrichment
Yes

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