Radio Environment Mapping with World Models for Active Measurement Control: Should Networks Dream of Optimal Control?
arXiv 2605.24028•21770b55855792a622169f07a91bb03f8cf42aaf1ffd2d91bfc515f3a0ca96ed
Bluetooth Low EnergyFM errorGaussian process baselineLWM-CDEREMRSSI mappingV2XVCO tuningVLCactive measurementchirp predistortioncollective perceptioncontrastive learningcrystal-free BLEdataset similaritydigital twinfew-shot learningradar signal processingradio environment mappingsoftware-defined radio (SDR) integration","physical-layer emulattransferabilityvehicular communicationsvisible light communicationwireless foundation modelworld models
Paper metadata
- arXiv ID
- 2605.24028
- 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
- 21770b55855792a622169f07a91bb03f8cf42aaf1ffd2d91bfc515f3a0ca96ed
- Enrichment time
- 2026-05-26T08:51:40Z
- AI-assisted enrichment
- Yes
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