Lightweight Gated Recurrent Unit Variants for Real-Time Channel Prediction
2026-07-24T08:51:46Z•a2cb4dc85b2df2ce254f16e4f3ebd19628b4f96fb7e78617bcfdbeeda1f64d8b
BCIFR3FTNGRUISACOFDM-ISACRISanechoic-chamberbeamformingchannel-predictionconstellation-designdegrees-of-freedomdiffusion-modelsexplainable-mlfrequency-anisotropyinterference-managementlocalization-privacymedical-privacymodel-stabilitynear-field-samplingparkinson-detectionpower-allocationradio-map-estimationtransformer-receivertransmitter-localization
What happened
This collection of recent wireless/ML papers covers advances in channel prediction (lightweight and stability-constrained GRU variants), receiver architectures (Transformer-based FTN detector), radio-map estimation (RadioTrace: transmitter-aware diffusion without deployment fine-tuning), sampling and DoF analysis for near-field/line sources, RIS full-sphere measurement and beam-steering methodology, experimental characterization of frequency anisotropy for multi-band ISAC in FR3, multi-cell OFDM-ISAC modulation/power-allocation for sensing-interference management, and interpretable BCI/Parkson
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- a2cb4dc85b2df2ce254f16e4f3ebd19628b4f96fb7e78617bcfdbeeda1f64d8b
- Enrichment time
- 2026-07-24T08:51:46Z
- AI-assisted enrichment
- Yes
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