Wireless Physical-Layer Foundation Models: Architectures, Learning Paradigms, Applications, and Deployment
arXiv 2608.20486•feb412c55fd6ebbd5956ac7b9508051e571d6a7842ac1d2eeea5a13997575eaa
6GHAP networksISACUAV networksbeamformingchannel modelingdigital twinsfoundation modelsintegrated sensing and communicationslocalizationphysical-layer AIpower-line communicationradio mapssignal processingwireless communications
Paper metadata
- arXiv ID
- 2608.20486
- 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
- feb412c55fd6ebbd5956ac7b9508051e571d6a7842ac1d2eeea5a13997575eaa
- Enrichment time
- 2026-08-24T08:51:35Z
- AI-assisted enrichment
- Yes
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