A Learnable SIM Paradigm: Fundamentals, Training Techniques, and Applications
arXiv 2603.24599•6e94073e1b240464f5ff9809fa7f6770ef3e4c35bcf356277b9b27184f7c917b
6GAAVBD-RISNOMASIC-free receiveranalog computinganti-jammingbeam trainingbeamformingcovert-channelscovert-communicationsfederated-learningfluid-antennahybrid couplersjammingmetasurfacesmicrowavenear-fieldphase shiftersphysical-layerprivacy-preserving-ML','human-activity-recognition','HAR','benchrate-splittingreconfigurable intelligent surfacestacked intelligent metasurfaceswireless
Paper metadata
- arXiv ID
- 2603.24599
- 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
- 6e94073e1b240464f5ff9809fa7f6770ef3e4c35bcf356277b9b27184f7c917b
- Enrichment time
- 2026-03-27T08:51:49Z
- AI-assisted enrichment
- Yes
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