Lightweight Gated Recurrent Unit Variants for Real-Time Channel Prediction
arXiv 2607.20697•a2cb4dc85b2df2ce254f16e4f3ebd19628b4f96fb7e78617bcfdbeeda1f64d8b
BCIFR3FTNGRUISACOFDM-ISACRISanechoic-chamberbeamformingchannel-predictionconstellation-designdegrees-of-freedomdiffusion-modelsexplainable-mlfrequency-anisotropyinterference-managementlocalization-privacymedical-privacymodel-stabilitynear-field-samplingparkinson-detectionpower-allocationradio-map-estimationtransformer-receivertransmitter-localization
Paper metadata
- arXiv ID
- 2607.20697
- Version
- Not specified by this published record
- Category
- Electrical Engineering and Systems Science — Signal Processing (eess.SP)
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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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